Foundation
project
01baf36bbdfd6958
Normalized: foundation
fireflies
github
hubspot
linear
moreland_contracts
moreland_dashboard
moreland_dashboard_demand
toggl
Entity Properties (gold project table)
project_id
01baf36bbdfd6958
name
MC - Foundation R&D
client_id
15a69a78dde2311c
canonical_metadata
—
created_at
2026-02-12 05:36:13.625127+00:00
updated_at
2026-02-12 05:36:13.625127+00:00
status
active
billable
No
recurring
No
squad
—
qa_partner
—
project_manager
—
lead_dev
—
description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
state
—
team_name
—
closedate
2026-05-15 18:54:01.700000+00:00
dealstage
qualifiedtobuy
deal_amount
50000.0
contract_type
fixed_fee
contract_hourly_rate
—
contract_estimated_hours
—
contract_total_fee
—
54%
Separation Confidence
How distinct this entity is from others. Higher means no close matches existed when it was created. Lower means a near-match was rejected just below the 80% threshold — worth reviewing.
Moderate — a somewhat similar entity exists
80%
Avg Match Confidence
The average confidence score across all active source mappings. Shows overall quality of linkage between source records and this canonical entity.
Good match quality
Source Mappings (631)
| Source | Source ID | Display Name | Confidence | Method | Status | Actions | |
|---|---|---|---|---|---|---|---|
| fireflies | 01KNMSKNYTE3E4FHHSD3963ZA1 | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_fireflies_meetings
id
01KNMSKNYTE3E4FHHSD3963ZA1
title
Foundation Stand up
date
2026-04-15 19:30:00+00:00
duration_minutes
25
duration
25
transcript_url
https://app.fireflies.ai/view/01KNMSKNYTE3E4FHHSD3963ZA1
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_N2RjNGFmMmUtMTY4NC00Y2NiLWIyYzctYzA4ODZkNTkzMDEx@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team focused on advancing AI integration while pausing investments in Foundation UI AI features until the release of Claude, aiming to prevent wasted efforts. A successful proof of concept utilizing Moreland MCP skills impressed clients with data aggregation capabilities. To enhance scalability and performance, they are transitioning workflow logs to cheaper external storage and implementing Redis for session persistence. Addressing demo inconsistencies due to org switching remains a priority, while also exploring multi-ERP connector development to meet the needs of clients acquiring diverse portfolios. Overall, the approach emphasizes optimizing resources and aligning with client demands.
action_items
"\\n**Justin Wray**\\nShow demo of Moreland skills integrated with Claude generative AI to the internal team to showcase capabilities (00:18)\\nInvestigate and resolve the demo app malfunction, potentially caused by organization mismatches or queue errors, to ensure reliable client demonstrations (09:00)\\nEnhance the admin interface to enable easier switching between organizations immediately after login, reducing agent assignment errors (12:05)\\nTroubleshoot JWT token authorization errors and data pipeline issues observed in the demo environment to restore stable operation (13:28)\\nDocument the proof of concept for webhook integration that handles deletions in the silver data layer to ensure data consistency and reliability (18:23)\\nCoordinate with Sam to review demos and prioritize which Moreland Control Plane features and functions should be rolled into production (18:23)\\n\\n**Unassigned**\\nContinue stress testing large-scale orders and workflows, updating storage solutions to optimize concurrency and reduce costs (02:06)\\nExplore automating hotel rebooking processes using AI-powered web browsing capabilities as a pilot project to expand AI-assisted automation use cases (15:02)\\n"
transcript_text
[{"index": 0, "text": "20,000 For initial setup, 30,000 for three weeks.", "raw_text": "20,000 For initial setup, 30,000 for three weeks.", "start_time": 18.08, "end_time": 21.92, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 1, "text": "I'll just do it all at once.", "raw_text": "I'll just do it all at once.", "start_time": 22.32, "end_time": 24.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 2, "text": "So on one we just do like, what.", "raw_text": "So on one we just do like, what.", "start_time": 24.56, "end_time": 26.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 3, "text": "Just do a fine week and that includes all of it.", "raw_text": "Just do a fine week and that includes all of it.", "start_time": 27, "end_time": 29.92, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 4, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 29.92, "end_time": 30.36, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 5, "text": "So, yeah, I wouldn't complicate it.", "raw_text": "So, yeah, I wouldn't complicate it.", "start_time": 31.32, "end_time": 34.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 6, "text": "So, dude, have you looked at.", "raw_text": "So, dude, have you looked at.", "start_time": 38.68, "end_time": 42.04, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 7, "text": "I don't know if you've used like Moreland skills with Claude's generative AI recently.", "raw_text": "I don't know if you've used like Moreland skills with Claude's generative AI recently.", "start_time": 43.24, "end_time": 50.28, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 8, "text": "Like the Moreland skills through the mcp.", "raw_text": "Like the Moreland skills through the mcp.", "start_time": 53.08, "end_time": 55.24, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 9, "text": "I'll pull it up, I'll show you.", "raw_text": "I'll pull it up, I'll show you.", "start_time": 56.66, "end_time": 57.86, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 10, "text": "It's freaking sick.", "raw_text": "It's freaking sick.", "start_time": 57.86, "end_time": 60.5, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 11, "text": "Yeah, it's actually sweet.", "raw_text": "Yeah, it's actually sweet.", "start_time": 61.78, "end_time": 63.3, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 12, "text": "I do think they need somewhat.", "raw_text": "I do think they need somewhat.", "start_time": 63.86, "end_time": 65.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 13, "text": "I'm.", "raw_text": "I'm.", "start_time": 65.18, "end_time": 65.54, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 14, "text": "I was.", "raw_text": "I was.", "start_time": 65.78, "end_time": 66.26, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 15, "text": "I'm hesitant to invest too much into it in our foundation UI because I think cloud will come out with it in like a week.", "raw_text": "I'm hesitant to invest too much into it in our foundation UI because I think cloud will come out with it in like a week.", "start_time": 66.26, "end_time": 72.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 16, "text": "Or it might be with that new Claude build that will go toe to toe with replit eventually.", "raw_text": "Or it might be with that new Claude build that will go toe to toe with replit eventually.", "start_time": 72.5, "end_time": 76.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 17, "text": "But like the.", "raw_text": "But like the.", "start_time": 77.7, "end_time": 80.22, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 18, "text": "I think that the whisperings I'm seeing on Twitter is like the shoes kind of dropping on token costs.", "raw_text": "I think that the whisperings I'm seeing on Twitter is like the shoes kind of dropping on token costs.", "start_time": 80.22, "end_time": 88.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 19, "text": "I'm starting to see a lot of like, oh, they're changing the pricing model and don't know if you saw Uber cto, he was like, we blew through our entire AI budget on tokens that he wasn't expecting.", "raw_text": "I'm starting to see a lot of like, oh, they're changing the pricing model and don't know if you saw Uber cto, he was like, we blew through our entire AI budget on tokens that he wasn't expecting.", "start_time": 88.11, "end_time": 104.99, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 20, "text": "So I think, like, as I'll show the demo, it's like as cool as it is, eventually it's going to come full circle in like, okay, this is really cool to chat with data and get reports, but how do you optimize this back down to code a web app that just does this?", "raw_text": "So I think, like, as I'll show the demo, it's like as cool as it is, eventually it's going to come full circle in like, okay, this is really cool to chat with data and get reports, but how do you optimize this back down to code a web app that just does this?", "start_time": 107.79, "end_time": 124.91, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 21, "text": "How do you fart in this?", "raw_text": "How do you fart in this?", "start_time": 126.99, "end_time": 128.35, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 22, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 128.43, "end_time": 128.91, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 23, "text": "So there should be a lot of full.", "raw_text": "So there should be a lot of full.", "start_time": 129.55, "end_time": 130.83, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 24, "text": "Or like we talked about, like, yeah, okay, can this be a button?", "raw_text": "Or like we talked about, like, yeah, okay, can this be a button?", "start_time": 130.91, "end_time": 135.55, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 25, "text": "And it's like, isn't that where we started?", "raw_text": "And it's like, isn't that where we started?", "start_time": 135.55, "end_time": 137.23, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 26, "text": "Like, but I think that'll be important, you know, just be way faster too.", "raw_text": "Like, but I think that'll be important, you know, just be way faster too.", "start_time": 139.46, "end_time": 145.7, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 27, "text": "Let's see if I can get on that computer screen.", "raw_text": "Let's see if I can get on that computer screen.", "start_time": 146.74, "end_time": 148.82, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 28, "text": "But I don't think that we need to talk about anything more like active development we should invest in.", "raw_text": "But I don't think that we need to talk about anything more like active development we should invest in.", "start_time": 154.02, "end_time": 160.26, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 29, "text": "Other than the deals now that we got a few.", "raw_text": "Other than the deals now that we got a few.", "start_time": 160.26, "end_time": 163.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 30, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 164.43, "end_time": 164.83, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 31, "text": "Coming in.", "raw_text": "Coming in.", "start_time": 164.83, "end_time": 165.55, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 32, "text": "I think it'll just play out.", "raw_text": "I think it'll just play out.", "start_time": 165.55, "end_time": 167.23, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 33, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 167.55, "end_time": 167.91, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 34, "text": "While you're getting that organically.", "raw_text": "While you're getting that organically.", "start_time": 167.91, "end_time": 169.47, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 35, "text": "On the safeguard side, we like, end of last week, early this week, we've been starting to stress test some like massive orders and workflows on their side.", "raw_text": "On the safeguard side, we like, end of last week, early this week, we've been starting to stress test some like massive orders and workflows on their side.", "start_time": 169.71, "end_time": 180.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 36, "text": "And I think it's in a good way.", "raw_text": "And I think it's in a good way.", "start_time": 181.55, "end_time": 184.19, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 37, "text": "It's exposed some of our architecture, but when we get that order in the process of updating to support that, things like moving the storage and workflow execution logs into a cheaper storage mechanism.", "raw_text": "It's exposed some of our architecture, but when we get that order in the process of updating to support that, things like moving the storage and workflow execution logs into a cheaper storage mechanism.", "start_time": 184.19, "end_time": 203.02, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 38, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 203.66, "end_time": 204.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 39, "text": "Have you hit concurrency issues?", "raw_text": "Have you hit concurrency issues?", "start_time": 204.78, "end_time": 206.46, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 40, "text": "Not yet, but I Think we're gone too.", "raw_text": "Not yet, but I Think we're gone too.", "start_time": 208.78, "end_time": 210.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 41, "text": "I hit when I was doing the Firefly analysis, I was running like multi.", "raw_text": "I hit when I was doing the Firefly analysis, I was running like multi.", "start_time": 210.94, "end_time": 217.58, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 42, "text": "Threaded.", "raw_text": "Threaded.", "start_time": 217.58, "end_time": 218.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 43, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 218.53, "end_time": 218.85, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 44, "text": "And I would hit concurrency issues with our AI Gateway.", "raw_text": "And I would hit concurrency issues with our AI Gateway.", "start_time": 218.85, "end_time": 221.65, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 45, "text": "Oh really?", "raw_text": "Oh really?", "start_time": 221.81, "end_time": 222.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 46, "text": "Already at like 20 threads at the same time or something?", "raw_text": "Already at like 20 threads at the same time or something?", "start_time": 222.45, "end_time": 225.53, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 47, "text": "Oh, I would expect.", "raw_text": "Oh, I would expect.", "start_time": 225.53, "end_time": 228.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 48, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 228.85, "end_time": 229.41, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 49, "text": "I mean we're.", "raw_text": "I mean we're.", "start_time": 232.69, "end_time": 233.73, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 50, "text": "Because I.", "raw_text": "Because I.", "start_time": 235.41, "end_time": 235.97, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 51, "text": "We blasted through like we have our concurrency up for the analyze engine is up to like 100.", "raw_text": "We blasted through like we have our concurrency up for the analyze engine is up to like 100.", "start_time": 235.97, "end_time": 240.69, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 52, "text": "So we send 100 at a time.", "raw_text": "So we send 100 at a time.", "start_time": 240.85, "end_time": 242.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 53, "text": "Okay.", "raw_text": "Okay.", "start_time": 243.49, "end_time": 244.05, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 54, "text": "Get analyzed.", "raw_text": "Get analyzed.", "start_time": 244.31, "end_time": 244.99, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 55, "text": "And we've had orders of like a thousand individuals finish.", "raw_text": "And we've had orders of like a thousand individuals finish.", "start_time": 244.99, "end_time": 249.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 56, "text": "But then the problem is how we're saving the payloads in like JSON blob in SQL is like not sustainable because of just the quantity of data.", "raw_text": "But then the problem is how we're saving the payloads in like JSON blob in SQL is like not sustainable because of just the quantity of data.", "start_time": 250.31, "end_time": 261.99, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 57, "text": "So like literally all we're doing is instead of for like input output is storing a reference there to the JSON blob in some other storage mechanism and plug it in that way and then it's.", "raw_text": "So like literally all we're doing is instead of for like input output is storing a reference there to the JSON blob in some other storage mechanism and plug it in that way and then it's.", "start_time": 263.59, "end_time": 278.6, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 58, "text": "It saves us all the compute files on the database and it still loads fast.", "raw_text": "It saves us all the compute files on the database and it still loads fast.", "start_time": 278.6, "end_time": 282.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 59, "text": "And then we pulled in for like the.", "raw_text": "And then we pulled in for like the.", "start_time": 283.36, "end_time": 288.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 60, "text": "The chat SDK that we already have in there to get what do they call it to like continue ongoing streams in a chat.", "raw_text": "The chat SDK that we already have in there to get what do they call it to like continue ongoing streams in a chat.", "start_time": 290.88, "end_time": 302.73, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 61, "text": "So be like start a chat, leave the page back.", "raw_text": "So be like start a chat, leave the page back.", "start_time": 302.97, "end_time": 305.53, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 62, "text": "Like it wouldn't work unless you have a redis store hooked up.", "raw_text": "Like it wouldn't work unless you have a redis store hooked up.", "start_time": 306.17, "end_time": 309.85, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 63, "text": "So we just put spot up a redis real quick to be able to do that.", "raw_text": "So we just put spot up a redis real quick to be able to do that.", "start_time": 310.01, "end_time": 313.77, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 64, "text": "But then we can also use that for the completed workflow results because those are never going to change.", "raw_text": "But then we can also use that for the completed workflow results because those are never going to change.", "start_time": 313.93, "end_time": 321.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 65, "text": "So like we should be cashing the crap out of it.", "raw_text": "So like we should be cashing the crap out of it.", "start_time": 322.1, "end_time": 325.06, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 66, "text": "Yeah, because we were getting a lot of like egress from our database and like suit base was starting to want us to like push a different tier because of the egress.", "raw_text": "Yeah, because we were getting a lot of like egress from our database and like suit base was starting to want us to like push a different tier because of the egress.", "start_time": 325.38, "end_time": 335.06, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 67, "text": "So moving that into the cheaper storage and then also caching it I think is going to solve it.", "raw_text": "So moving that into the cheaper storage and then also caching it I think is going to solve it.", "start_time": 336.9, "end_time": 341.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 68, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 341.3, "end_time": 341.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 69, "text": "But now that like the first time it page loads, you'll get the egress, but then it'll be cached until we weber expires.", "raw_text": "But now that like the first time it page loads, you'll get the egress, but then it'll be cached until we weber expires.", "start_time": 341.74, "end_time": 347.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 70, "text": "Yeah, like we changed.", "raw_text": "Yeah, like we changed.", "start_time": 348.29, "end_time": 349.65, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 71, "text": "It's verifying it right now.", "raw_text": "It's verifying it right now.", "start_time": 350.21, "end_time": 351.77, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 72, "text": "So like when you load even like this one list, it'll just roll.", "raw_text": "So like when you load even like this one list, it'll just roll.", "start_time": 351.77, "end_time": 355.65, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 73, "text": "It'll just load like the high level meta list and then like this is an additional request that's cached and then each individual node results is an individual request now because previously like you would load this and it would load all the input output, every node of the whole workflow.", "raw_text": "It'll just load like the high level meta list and then like this is an additional request that's cached and then each individual node results is an individual request now because previously like you would load this and it would load all the input output, every node of the whole workflow.", "start_time": 355.73, "end_time": 380.29, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 74, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 380.37, "end_time": 380.85, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 75, "text": "Which for like this little one it's fine.", "raw_text": "Which for like this little one it's fine.", "start_time": 381.25, "end_time": 384.05, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 76, "text": "But for the safeguard one, I mean.", "raw_text": "But for the safeguard one, I mean.", "start_time": 384.05, "end_time": 385.77, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 77, "text": "Yeah, like so it's like 30 metals.", "raw_text": "Yeah, like so it's like 30 metals.", "start_time": 385.77, "end_time": 387.97, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 78, "text": "It's just crushing it.", "raw_text": "It's just crushing it.", "start_time": 388.93, "end_time": 391.049, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 79, "text": "Yeah, just crushing it.", "raw_text": "Yeah, just crushing it.", "start_time": 391.049, "end_time": 392.13, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 80, "text": "So yeah, I mean, this.", "raw_text": "So yeah, I mean, this.", "start_time": 392.13, "end_time": 395.25, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 81, "text": "I think the workflow build would be like, pretty sick.", "raw_text": "I think the workflow build would be like, pretty sick.", "start_time": 395.25, "end_time": 397.65, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 82, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 397.65, "end_time": 398.13, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 83, "text": "Pretty robust.", "raw_text": "Pretty robust.", "start_time": 399.09, "end_time": 399.97, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 84, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 400.78, "end_time": 400.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 85, "text": "That looks awesome.", "raw_text": "That looks awesome.", "start_time": 400.94, "end_time": 401.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 86, "text": "We didn't even get to show that off.", "raw_text": "We didn't even get to show that off.", "start_time": 401.62, "end_time": 402.86, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 87, "text": "They would have been like, what the heck?", "raw_text": "They would have been like, what the heck?", "start_time": 402.86, "end_time": 404.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 88, "text": "So we went through.", "raw_text": "So we went through.", "start_time": 411.98, "end_time": 415.9, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 89, "text": "Because they were already like into the data lake.", "raw_text": "Because they were already like into the data lake.", "start_time": 416.299, "end_time": 418.7, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 90, "text": "So this was like a really good demo.", "raw_text": "So this was like a really good demo.", "start_time": 419.42, "end_time": 420.82, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 91, "text": "I was able to show like all the raw tables and the transforms that it goes through.", "raw_text": "I was able to show like all the raw tables and the transforms that it goes through.", "start_time": 420.82, "end_time": 426.3, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 92, "text": "So they were like kind of all up to speed on how this would all work or they're like shaking their head.", "raw_text": "So they were like kind of all up to speed on how this would all work or they're like shaking their head.", "start_time": 426.46, "end_time": 432.91, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 93, "text": "And then I got into like, so the skill.", "raw_text": "And then I got into like, so the skill.", "start_time": 433.55, "end_time": 440.35, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 94, "text": "So like I have these skills in here and I don't know how good this content actually is, but the idea is there.", "raw_text": "So like I have these skills in here and I don't know how good this content actually is, but the idea is there.", "start_time": 440.35, "end_time": 446.43, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 95, "text": "And so if you like run this skill.", "raw_text": "And so if you like run this skill.", "start_time": 447.15, "end_time": 450.15, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 96, "text": "So I said, please run the Moreland demand analysis.", "raw_text": "So I said, please run the Moreland demand analysis.", "start_time": 450.15, "end_time": 453.07, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 97, "text": "I just said like, don't show any real project names because I was in front of the client.", "raw_text": "I just said like, don't show any real project names because I was in front of the client.", "start_time": 453.76, "end_time": 457.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 98, "text": "It kind of goes through grabs all this and it just made this like inline dashboard.", "raw_text": "It kind of goes through grabs all this and it just made this like inline dashboard.", "start_time": 458.32, "end_time": 463.68, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 99, "text": "That was like pretty sick.", "raw_text": "That was like pretty sick.", "start_time": 464.32, "end_time": 465.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 100, "text": "So they were pretty blown away by that.", "raw_text": "So they were pretty blown away by that.", "start_time": 465.56, "end_time": 467.2, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 101, "text": "Yeah, like contract burn, largest active contracts, remaining hours.", "raw_text": "Yeah, like contract burn, largest active contracts, remaining hours.", "start_time": 471.04, "end_time": 475.6, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 102, "text": "And that's using, that's using the Moreland MCP skill.", "raw_text": "And that's using, that's using the Moreland MCP skill.", "start_time": 476.08, "end_time": 480.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 103, "text": "Through there, through there.", "raw_text": "Through there, through there.", "start_time": 480.64, "end_time": 482.08, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 104, "text": "That's it.", "raw_text": "That's it.", "start_time": 482.08, "end_time": 482.64, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 105, "text": "It grabs all the data and it's just like this is just a detailed prompt on how to do it.", "raw_text": "It grabs all the data and it's just like this is just a detailed prompt on how to do it.", "start_time": 482.92, "end_time": 487.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 106, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 487.88, "end_time": 492.52, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 107, "text": "And then I was able to say like, let's drill into the slate squad.", "raw_text": "And then I was able to say like, let's drill into the slate squad.", "start_time": 493.16, "end_time": 496.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 108, "text": "It pulled in the slate squad, who is billable, who is widespread, has a lot of projects.", "raw_text": "It pulled in the slate squad, who is billable, who is widespread, has a lot of projects.", "start_time": 497.4, "end_time": 504.52, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 109, "text": "The billable rate for the squad, planned hours versus actual hours.", "raw_text": "The billable rate for the squad, planned hours versus actual hours.", "start_time": 505.4, "end_time": 512.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 110, "text": "April 26th planned with 14 projects.", "raw_text": "April 26th planned with 14 projects.", "start_time": 513.76, "end_time": 518.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 111, "text": "And then the project allocation across the squad.", "raw_text": "And then the project allocation across the squad.", "start_time": 519.68, "end_time": 522.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 112, "text": "Billable, individual billable trends.", "raw_text": "Billable, individual billable trends.", "start_time": 524.08, "end_time": 526.08, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 113, "text": "September25.", "raw_text": "September25.", "start_time": 526.08, "end_time": 527.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 114, "text": "And it just like whipped this up.", "raw_text": "And it just like whipped this up.", "start_time": 529.04, "end_time": 530.64, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 115, "text": "All I said is like, let's drill into slate squad.", "raw_text": "All I said is like, let's drill into slate squad.", "start_time": 530.64, "end_time": 533.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 116, "text": "And I said, were there any potential change requests mentioned in.", "raw_text": "And I said, were there any potential change requests mentioned in.", "start_time": 536.17, "end_time": 539.37, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 117, "text": "I said, what stand up meetings have we had?", "raw_text": "I said, what stand up meetings have we had?", "start_time": 540.81, "end_time": 542.89, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 118, "text": "It went through our fireflies.", "raw_text": "It went through our fireflies.", "start_time": 543.61, "end_time": 545.21, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 119, "text": "This is still coming through.", "raw_text": "This is still coming through.", "start_time": 545.77, "end_time": 546.77, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 120, "text": "Morelands Cube called out the standoffs.", "raw_text": "Morelands Cube called out the standoffs.", "start_time": 546.77, "end_time": 552.21, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 121, "text": "I said, were there any potential change requests mentioned?", "raw_text": "I said, were there any potential change requests mentioned?", "start_time": 552.21, "end_time": 554.89, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 122, "text": "And then it said, this is the most explicit.", "raw_text": "And then it said, this is the most explicit.", "start_time": 555.61, "end_time": 558.57, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 123, "text": "On Monday, the technical standing dude, Boone Flag national sales manager Task management was never scoped in the original design.", "raw_text": "On Monday, the technical standing dude, Boone Flag national sales manager Task management was never scoped in the original design.", "start_time": 558.57, "end_time": 565.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 124, "text": "It was meant to stay in SAP, Fiori Tiles, blah blah, blah.", "raw_text": "It was meant to stay in SAP, Fiori Tiles, blah blah, blah.", "start_time": 565.56, "end_time": 570.52, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 125, "text": "Sean Blasco called it a massive scope change.", "raw_text": "Sean Blasco called it a massive scope change.", "start_time": 570.92, "end_time": 573.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 126, "text": "So they flagged it.", "raw_text": "So they flagged it.", "start_time": 574.92, "end_time": 576.04, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 127, "text": "That was pretty cool.", "raw_text": "That was pretty cool.", "start_time": 577.08, "end_time": 578.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 128, "text": "Final frontier.", "raw_text": "Final frontier.", "start_time": 578.2, "end_time": 579.24, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 129, "text": "This is more like minor fringe.", "raw_text": "This is more like minor fringe.", "start_time": 581.24, "end_time": 583.4, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 130, "text": "That's cool.", "raw_text": "That's cool.", "start_time": 583.4, "end_time": 584.2, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 131, "text": "Raised concern about SAP event mesh.", "raw_text": "Raised concern about SAP event mesh.", "start_time": 584.92, "end_time": 587.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 132, "text": "So I just went through this and you're like pulling away.", "raw_text": "So I just went through this and you're like pulling away.", "start_time": 587.91, "end_time": 590.23, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 133, "text": "They're like, yeah, this is sweet.", "raw_text": "They're like, yeah, this is sweet.", "start_time": 590.23, "end_time": 592.39, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 134, "text": "And then when you need.", "raw_text": "And then when you need.", "start_time": 592.39, "end_time": 593.51, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 135, "text": "We didn't even get into like other Stuff it just does it over and over again too.", "raw_text": "We didn't even get into like other Stuff it just does it over and over again too.", "start_time": 594.07, "end_time": 604.15, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 136, "text": "Yeah, I don't have updates now.", "raw_text": "Yeah, I don't have updates now.", "start_time": 617.92, "end_time": 619.6, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 137, "text": "I just have some stuff but if I have time I want to do foundation wise catch my app builder thing up and then it was getting pretty close and then I have more time I should fix them and then we may want to look into why.", "raw_text": "I just have some stuff but if I have time I want to do foundation wise catch my app builder thing up and then it was getting pretty close and then I have more time I should fix them and then we may want to look into why.", "start_time": 620.32, "end_time": 632.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 138, "text": "I don't know why yet.", "raw_text": "I don't know why yet.", "start_time": 632.64, "end_time": 633.68, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 139, "text": "I'll look into it.", "raw_text": "I'll look into it.", "start_time": 633.68, "end_time": 634.64, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 140, "text": "Maybe a chance with me Friday.", "raw_text": "Maybe a chance with me Friday.", "start_time": 634.72, "end_time": 636.24, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 141, "text": "Why the app demo I'd like to say isn't working and I'm thinking it's either my org was wrong or if there was a queue error.", "raw_text": "Why the app demo I'd like to say isn't working and I'm thinking it's either my org was wrong or if there was a queue error.", "start_time": 637.28, "end_time": 646.1, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 142, "text": "So it could be just a quick thing I push.", "raw_text": "So it could be just a quick thing I push.", "start_time": 646.1, "end_time": 647.86, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 143, "text": "I bet you it's a small thing but I'm going to cancel tomorrow's meeting and we'll just do stand up.", "raw_text": "I bet you it's a small thing but I'm going to cancel tomorrow's meeting and we'll just do stand up.", "start_time": 647.86, "end_time": 653.26, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 144, "text": "I mean I'm probably with something.", "raw_text": "I mean I'm probably with something.", "start_time": 653.26, "end_time": 654.46, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 145, "text": "It's fine.", "raw_text": "It's fine.", "start_time": 656.94, "end_time": 657.58, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 146, "text": "Yeah it's probably something similar.", "raw_text": "Yeah it's probably something similar.", "start_time": 657.66, "end_time": 659.34, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 147, "text": "I don't think.", "raw_text": "I don't think.", "start_time": 659.58, "end_time": 660.22, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 148, "text": "I don't think Dexter's running on the demo Org either.", "raw_text": "I don't think Dexter's running on the demo Org either.", "start_time": 660.38, "end_time": 663.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 149, "text": "Well when you say the demo you talking about the.", "raw_text": "Well when you say the demo you talking about the.", "start_time": 664.06, "end_time": 667.1, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 150, "text": "You're not talking about the environment.", "raw_text": "You're not talking about the environment.", "start_time": 667.34, "end_time": 668.38, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 151, "text": "The actual data platform inside the one right now production.", "raw_text": "The actual data platform inside the one right now production.", "start_time": 668.62, "end_time": 674.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 152, "text": "We have two orgs already.", "raw_text": "We have two orgs already.", "start_time": 674.88, "end_time": 676.24, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 153, "text": "We have demo Org.", "raw_text": "We have demo Org.", "start_time": 676.24, "end_time": 677.52, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 154, "text": "Well yeah, we kind of gave up on that.", "raw_text": "Well yeah, we kind of gave up on that.", "start_time": 677.68, "end_time": 679.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 155, "text": "I don't think that demo Org does.", "raw_text": "I don't think that demo Org does.", "start_time": 679.16, "end_time": 680.48, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 156, "text": "I use my morning one move the safeguard tools there and wasn't working for me there but then I signed into my demo account.", "raw_text": "I use my morning one move the safeguard tools there and wasn't working for me there but then I signed into my demo account.", "start_time": 681.92, "end_time": 687.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 157, "text": "Did the demo work and it also wasn't working.", "raw_text": "Did the demo work and it also wasn't working.", "start_time": 687.8, "end_time": 690.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 158, "text": "I was getting two.", "raw_text": "I was getting two.", "start_time": 690.16, "end_time": 690.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 159, "text": "Where do you.", "raw_text": "Where do you.", "start_time": 691.6, "end_time": 692.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 160, "text": "How do you do those?", "raw_text": "How do you do those?", "start_time": 692.12, "end_time": 692.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 161, "text": "I just.", "raw_text": "I just.", "start_time": 693.68, "end_time": 694.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 162, "text": "I just signed out of my account and I signed into that account that we sent out since like Analyst.com SG@Well this.", "raw_text": "I just signed out of my account and I signed into that account that we sent out since like Analyst.com SG@Well this.", "start_time": 694.4, "end_time": 703.58, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 163, "text": "This one though or like through chat.", "raw_text": "This one though or like through chat.", "start_time": 703.9, "end_time": 707.78, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 164, "text": "No, I'm talking about like I just my like Justin, I log out and I sign in like a general account.", "raw_text": "No, I'm talking about like I just my like Justin, I log out and I sign in like a general account.", "start_time": 707.78, "end_time": 712.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 165, "text": "Well what's.", "raw_text": "Well what's.", "start_time": 713.34, "end_time": 713.9, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 166, "text": "How do you do the message?", "raw_text": "How do you do the message?", "start_time": 713.9, "end_time": 715.78, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 167, "text": "Just ask it for like what's an overview of the appointments today?", "raw_text": "Just ask it for like what's an overview of the appointments today?", "start_time": 715.78, "end_time": 718.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 168, "text": "I only work.", "raw_text": "I only work.", "start_time": 718.7, "end_time": 719.5, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 169, "text": "I don't think they're in every.", "raw_text": "I don't think they're in every.", "start_time": 719.66, "end_time": 720.86, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 170, "text": "Yeah so if you just go back if you're in the morning one I don't think they're in there.", "raw_text": "Yeah so if you just go back if you're in the morning one I don't think they're in there.", "start_time": 721.58, "end_time": 725.5, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 171, "text": "Mine are.", "raw_text": "Mine are.", "start_time": 725.74, "end_time": 726.5, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 172, "text": "What's this though?", "raw_text": "What's this though?", "start_time": 726.5, "end_time": 727.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 173, "text": "Is this it?", "raw_text": "Is this it?", "start_time": 727.18, "end_time": 727.82, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 174, "text": "Those are the ones from the actual project early version.", "raw_text": "Those are the ones from the actual project early version.", "start_time": 729.23, "end_time": 733.63, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 175, "text": "I was gonna demo it because I found a chat that I had it on but every time I opened I was doing that on secure things.", "raw_text": "I was gonna demo it because I found a chat that I had it on but every time I opened I was doing that on secure things.", "start_time": 734.59, "end_time": 740.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 176, "text": "I just gave it chance.", "raw_text": "I just gave it chance.", "start_time": 740.11, "end_time": 741.15, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 177, "text": "I don't think you could switch orgs on here.", "raw_text": "I don't think you could switch orgs on here.", "start_time": 741.55, "end_time": 743.71, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 178, "text": "You can on the admin.", "raw_text": "You can on the admin.", "start_time": 747.55, "end_time": 748.51, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 179, "text": "You can on the admin side but not in there.", "raw_text": "You can on the admin side but not in there.", "start_time": 748.59, "end_time": 750.67, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 180, "text": "Yeah, like.", "raw_text": "Yeah, like.", "start_time": 750.67, "end_time": 751.31, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 181, "text": "Yeah, you can only do it.", "raw_text": "Yeah, you can only do it.", "start_time": 751.55, "end_time": 752.99, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 182, "text": "I was out.", "raw_text": "I was out.", "start_time": 754.2, "end_time": 754.92, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 183, "text": "I.", "raw_text": "I.", "start_time": 754.92, "end_time": 755.28, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 184, "text": "It's on my list, but it's very low.", "raw_text": "It's on my list, but it's very low.", "start_time": 755.28, "end_time": 757.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 185, "text": "Is to move that admin page to like right after login.", "raw_text": "Is to move that admin page to like right after login.", "start_time": 757.8, "end_time": 761.64, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 186, "text": "Because like one thing we like, if you're on a chat, you don't know what org technically you're in, even though we're saying there's only one org.", "raw_text": "Because like one thing we like, if you're on a chat, you don't know what org technically you're in, even though we're saying there's only one org.", "start_time": 762.36, "end_time": 769.48, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 187, "text": "Yeah, it defaults to like your defaults like your default space Org or whatever.", "raw_text": "Yeah, it defaults to like your defaults like your default space Org or whatever.", "start_time": 769.72, "end_time": 773.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 188, "text": "Coding wise, it just, it just jacks up like the agents every time I reset my local DG because I've been testing a bunch of stuff.", "raw_text": "Coding wise, it just, it just jacks up like the agents every time I reset my local DG because I've been testing a bunch of stuff.", "start_time": 773.76, "end_time": 781.4, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 189, "text": "My user was not properly assigning a board.", "raw_text": "My user was not properly assigning a board.", "start_time": 781.69, "end_time": 783.77, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 190, "text": "But it's.", "raw_text": "But it's.", "start_time": 783.93, "end_time": 784.49, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 191, "text": "If, if you're not assigning a board, the admin page is there.", "raw_text": "If, if you're not assigning a board, the admin page is there.", "start_time": 784.49, "end_time": 787.49, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 192, "text": "The R it's not.", "raw_text": "The R it's not.", "start_time": 787.49, "end_time": 788.57, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 193, "text": "So I get like one chance to switch myself to the board and if I do it wrong, it's just gone.", "raw_text": "So I get like one chance to switch myself to the board and if I do it wrong, it's just gone.", "start_time": 788.57, "end_time": 792.81, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 194, "text": "It's definitely like not safe.", "raw_text": "It's definitely like not safe.", "start_time": 792.89, "end_time": 794.57, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 195, "text": "No, no.", "raw_text": "No, no.", "start_time": 794.57, "end_time": 795.41, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 196, "text": "I was like, this is below my line.", "raw_text": "I was like, this is below my line.", "start_time": 795.41, "end_time": 796.89, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 197, "text": "Well, this is awesome.", "raw_text": "Well, this is awesome.", "start_time": 797.13, "end_time": 798.09, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 198, "text": "Like if we can get the demo stuff like working in its own like environment and wouldn't need the boards for it, it would be nice to tear all that out because it takes out a lot of complexity.", "raw_text": "Like if we can get the demo stuff like working in its own like environment and wouldn't need the boards for it, it would be nice to tear all that out because it takes out a lot of complexity.", "start_time": 798.09, "end_time": 807.69, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 199, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 808.56, "end_time": 808.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 200, "text": "So it's funny, like I'm able to connect.", "raw_text": "So it's funny, like I'm able to connect.", "start_time": 809.6, "end_time": 811.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 201, "text": "So I got the Moreland or mcp.", "raw_text": "So I got the Moreland or mcp.", "start_time": 811.84, "end_time": 814.92, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 202, "text": "I got the demo Org MCP that does connect.", "raw_text": "I got the demo Org MCP that does connect.", "start_time": 814.92, "end_time": 817.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 203, "text": "But then if I try to access anything to it.", "raw_text": "But then if I try to access anything to it.", "start_time": 818.72, "end_time": 820.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 204, "text": "Yeah my JWT only contains the Moreland and so it like think it's connected but like if I try to do like fraud check, it'll just be like you don't org mismatch error gets thrown or something.", "raw_text": "Yeah my JWT only contains the Moreland and so it like think it's connected but like if I try to do like fraud check, it'll just be like you don't org mismatch error gets thrown or something.", "start_time": 821.12, "end_time": 834.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 205, "text": "So.", "raw_text": "So.", "start_time": 834.16, "end_time": 834.43, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 206, "text": "So it's try.", "raw_text": "So it's try.", "start_time": 834.66, "end_time": 836.42, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 207, "text": "If you do like the appointment monitoring one, it'll give you like a Q400 error.", "raw_text": "If you do like the appointment monitoring one, it'll give you like a Q400 error.", "start_time": 836.42, "end_time": 840.42, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 208, "text": "That might be something in the pipeline.", "raw_text": "That might be something in the pipeline.", "start_time": 843.94, "end_time": 845.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 209, "text": "This got more.", "raw_text": "This got more.", "start_time": 845.78, "end_time": 846.9, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 210, "text": "And then our demo work, I get a 500 so I think it's not even hooked up.", "raw_text": "And then our demo work, I get a 500 so I think it's not even hooked up.", "start_time": 847.14, "end_time": 850.98, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 211, "text": "So it looks like it's an off error or some type of execution build error 400 into error cube order not found.", "raw_text": "So it looks like it's an off error or some type of execution build error 400 into error cube order not found.", "start_time": 850.98, "end_time": 860.9, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 212, "text": "So it looks like this is like cube data typing issue.", "raw_text": "So it looks like this is like cube data typing issue.", "start_time": 860.9, "end_time": 863.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 213, "text": "But then if I log in with like.", "raw_text": "But then if I log in with like.", "start_time": 863.73, "end_time": 865.49, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 214, "text": "But it's also confusing on the demo art.", "raw_text": "But it's also confusing on the demo art.", "start_time": 866.37, "end_time": 868.37, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 215, "text": "So you have the owner that has access to both and there was like a 500 error, but it was a different 500 error than the one.", "raw_text": "So you have the owner that has access to both and there was like a 500 error, but it was a different 500 error than the one.", "start_time": 868.37, "end_time": 874.25, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 216, "text": "I log in with this SG Analyst to try it all three this morning.", "raw_text": "I log in with this SG Analyst to try it all three this morning.", "start_time": 874.25, "end_time": 877.33, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 217, "text": "Yeah, and I was like, I was trying to fix it and I realized I'm saying spice is left.", "raw_text": "Yeah, and I was like, I was trying to fix it and I realized I'm saying spice is left.", "start_time": 877.41, "end_time": 881.33, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 218, "text": "I have this thing trying to rebook my hotel, but it gets blocked.", "raw_text": "I have this thing trying to rebook my hotel, but it gets blocked.", "start_time": 884.45, "end_time": 889.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 219, "text": "It's Funny.", "raw_text": "It's Funny.", "start_time": 889.94, "end_time": 890.58, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 220, "text": "So we get blocked from like scraping hotel listings using like the built in clawed web search.", "raw_text": "So we get blocked from like scraping hotel listings using like the built in clawed web search.", "start_time": 890.58, "end_time": 901.66, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 221, "text": "But then if I rewrite it in cowork with computer use, it works fine.", "raw_text": "But then if I rewrite it in cowork with computer use, it works fine.", "start_time": 902.38, "end_time": 910.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 222, "text": "It's just a browser.", "raw_text": "It's just a browser.", "start_time": 911.74, "end_time": 913.1, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 223, "text": "So I found this company that basically you forward your.", "raw_text": "So I found this company that basically you forward your.", "start_time": 914.14, "end_time": 917.5, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 224, "text": "You forward your hotel booking to and then you have a cancellation date and it just tries to actively look for a cheaper hotel for you the same day, same place, and then like automatically rebooks your hotel room for you.", "raw_text": "You forward your hotel booking to and then you have a cancellation date and it just tries to actively look for a cheaper hotel for you the same day, same place, and then like automatically rebooks your hotel room for you.", "start_time": 918.37, "end_time": 933.41, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 225, "text": "So I was like, I could try to do that.", "raw_text": "So I was like, I could try to do that.", "start_time": 933.809, "end_time": 935.25, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 226, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 937.01, "end_time": 937.57, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 227, "text": "So yeah, it works in here.", "raw_text": "So yeah, it works in here.", "start_time": 938.21, "end_time": 941.89, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 228, "text": "One thing you may think of while you're done that what you showed is I think one interesting advantage of something like foundation is that it takes care of like essentially all the AI setup someone would need to do, like at your company.", "raw_text": "One thing you may think of while you're done that what you showed is I think one interesting advantage of something like foundation is that it takes care of like essentially all the AI setup someone would need to do, like at your company.", "start_time": 944.78, "end_time": 964.86, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 229, "text": "I keep seeing stuff from that.", "raw_text": "I keep seeing stuff from that.", "start_time": 966.3, "end_time": 967.98, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 230, "text": "Some company called ram.", "raw_text": "Some company called ram.", "start_time": 968.62, "end_time": 969.9, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 231, "text": "They said they built like an eternal product called Glass that like sets up all the AI stuff for people because like they're having trouble with AI adoption.", "raw_text": "They said they built like an eternal product called Glass that like sets up all the AI stuff for people because like they're having trouble with AI adoption.", "start_time": 970.86, "end_time": 981.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 232, "text": "So like they set up all the mcps, manage everything, and it's like a one click for people to install.", "raw_text": "So like they set up all the mcps, manage everything, and it's like a one click for people to install.", "start_time": 981.82, "end_time": 988.06, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 233, "text": "I'm like, that's very similar to this.", "raw_text": "I'm like, that's very similar to this.", "start_time": 988.3, "end_time": 991.06, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 234, "text": "Like you do a demand analysis.", "raw_text": "Like you do a demand analysis.", "start_time": 991.06, "end_time": 992.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 235, "text": "Like it's already in the mcp.", "raw_text": "Like it's already in the mcp.", "start_time": 992.74, "end_time": 994.3, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 236, "text": "Right.", "raw_text": "Right.", "start_time": 994.3, "end_time": 994.7, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 237, "text": "I just thought that was cool.", "raw_text": "I just thought that was cool.", "start_time": 994.94, "end_time": 996.26, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 238, "text": "They got this like sheets that you can terminate and like automated the ramp has some really good case studies on Twitter.", "raw_text": "They got this like sheets that you can terminate and like automated the ramp has some really good case studies on Twitter.", "start_time": 996.26, "end_time": 1001.34, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 239, "text": "I was reading through them when I was case study which.", "raw_text": "I was reading through them when I was case study which.", "start_time": 1001.34, "end_time": 1004.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 240, "text": "But they had some really cool articles about like the way they were using their internal crown jobs and like grouping everyone's events together and then how we made a 48.", "raw_text": "But they had some really cool articles about like the way they were using their internal crown jobs and like grouping everyone's events together and then how we made a 48.", "start_time": 1006.06, "end_time": 1014.26, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 241, "text": "I need a company like during this.", "raw_text": "I need a company like during this.", "start_time": 1014.26, "end_time": 1015.9, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 242, "text": "They're pretty new still, but it was, it was cool.", "raw_text": "They're pretty new still, but it was, it was cool.", "start_time": 1016.46, "end_time": 1018.42, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 243, "text": "I guess they have some really good articles.", "raw_text": "I guess they have some really good articles.", "start_time": 1018.42, "end_time": 1020.58, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 244, "text": "I've like naturally found three separate art this morning.", "raw_text": "I've like naturally found three separate art this morning.", "start_time": 1020.58, "end_time": 1024.62, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 245, "text": "It's.", "raw_text": "It's.", "start_time": 1025.18, "end_time": 1025.7, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 246, "text": "It's pretty good.", "raw_text": "It's pretty good.", "start_time": 1025.7, "end_time": 1026.46, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 247, "text": "I'll have to find the one called Glass.", "raw_text": "I'll have to find the one called Glass.", "start_time": 1027.479, "end_time": 1030.279, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 248, "text": "Oh yeah, I see it.", "raw_text": "Oh yeah, I see it.", "start_time": 1032.199, "end_time": 1033.359, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 249, "text": "I mean, it's not behind a paywall.", "raw_text": "I mean, it's not behind a paywall.", "start_time": 1033.359, "end_time": 1034.759, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 250, "text": "I'll just keep looking.", "raw_text": "I'll just keep looking.", "start_time": 1034.759, "end_time": 1035.719, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 251, "text": "Yeah, it's like one of the Twitter articles.", "raw_text": "Yeah, it's like one of the Twitter articles.", "start_time": 1036.999, "end_time": 1038.759, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 252, "text": "Yeah, that was the one I was.", "raw_text": "Yeah, that was the one I was.", "start_time": 1039.239, "end_time": 1040.679, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 253, "text": "I know I have it.", "raw_text": "I know I have it.", "start_time": 1041.719, "end_time": 1042.599, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 254, "text": "So there.", "raw_text": "So there.", "start_time": 1043.879, "end_time": 1044.519, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 255, "text": "I got changed back to it.", "raw_text": "I got changed back to it.", "start_time": 1050.919, "end_time": 1053.399, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 256, "text": "So the other thing.", "raw_text": "So the other thing.", "start_time": 1054.37, "end_time": 1056.53, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 257, "text": "So you got these skills in mcp.", "raw_text": "So you got these skills in mcp.", "start_time": 1062.45, "end_time": 1065.33, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 258, "text": "You also have like, I guess these are called prompts.", "raw_text": "You also have like, I guess these are called prompts.", "start_time": 1065.33, "end_time": 1069.33, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 259, "text": "So like I have all this.", "raw_text": "So like I have all this.", "start_time": 1072.77, "end_time": 1073.97, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 260, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1075.65, "end_time": 1076.13, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 261, "text": "But this one is like a programmatic.", "raw_text": "But this one is like a programmatic.", "start_time": 1076.21, "end_time": 1078.85, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 262, "text": "You can pass in a real parameter too.", "raw_text": "You can pass in a real parameter too.", "start_time": 1078.85, "end_time": 1081.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 263, "text": "This is what Boone did.", "raw_text": "This is what Boone did.", "start_time": 1082.2, "end_time": 1083.48, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 264, "text": "Yeah, that's what I was talking about.", "raw_text": "Yeah, that's what I was talking about.", "start_time": 1083.48, "end_time": 1084.68, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 265, "text": "Yeah, I pulled it up while you were talking.", "raw_text": "Yeah, I pulled it up while you were talking.", "start_time": 1085.08, "end_time": 1086.92, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 266, "text": "The, like the, the three things, the prompts, tools and skills, and then the Idea, probably training.", "raw_text": "The, like the, the three things, the prompts, tools and skills, and then the Idea, probably training.", "start_time": 1088.68, "end_time": 1094.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 267, "text": "That was all really well.", "raw_text": "That was all really well.", "start_time": 1094.44, "end_time": 1095.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 268, "text": "Yeah, yeah, read that part.", "raw_text": "Yeah, yeah, read that part.", "start_time": 1095.84, "end_time": 1097.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 269, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1097.76, "end_time": 1098.2, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 270, "text": "They didn't talk about MCP apps though, you know.", "raw_text": "They didn't talk about MCP apps though, you know.", "start_time": 1098.28, "end_time": 1101.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 271, "text": "Yeah, that's the thing, our crystallization.", "raw_text": "Yeah, that's the thing, our crystallization.", "start_time": 1101.88, "end_time": 1103.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 272, "text": "I almost showed off that Power Bi thing, but it's just I don't trust my demo enough yet to pull it up live to me.", "raw_text": "I almost showed off that Power Bi thing, but it's just I don't trust my demo enough yet to pull it up live to me.", "start_time": 1103.8, "end_time": 1108.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 273, "text": "But we go back to that.", "raw_text": "But we go back to that.", "start_time": 1108.76, "end_time": 1109.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 274, "text": "Yeah, I don't know.", "raw_text": "Yeah, I don't know.", "start_time": 1110.52, "end_time": 1112.09, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 275, "text": "I think it's cool, but I'm like, just.", "raw_text": "I think it's cool, but I'm like, just.", "start_time": 1112.09, "end_time": 1114.13, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 276, "text": "I'm just sour on building anything, so I'm like, Claude's gonna do that soon.", "raw_text": "I'm just sour on building anything, so I'm like, Claude's gonna do that soon.", "start_time": 1114.37, "end_time": 1118.05, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 277, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1118.69, "end_time": 1119.17, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 278, "text": "So I think we got enough for this demos.", "raw_text": "So I think we got enough for this demos.", "start_time": 1120.13, "end_time": 1122.53, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 279, "text": "Honestly, we.", "raw_text": "Honestly, we.", "start_time": 1122.61, "end_time": 1123.41, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 280, "text": "We really should like, we really should revisit some of this with like Sam and see what makes sense to roll into this.", "raw_text": "We really should like, we really should revisit some of this with like Sam and see what makes sense to roll into this.", "start_time": 1123.41, "end_time": 1136.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 281, "text": "Or even, maybe not even necessarily the foundation skills, but it could be the cloud enterprise skills too.", "raw_text": "Or even, maybe not even necessarily the foundation skills, but it could be the cloud enterprise skills too.", "start_time": 1136.45, "end_time": 1142.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 282, "text": "I mean, I think that's kind of like splitting hairs.", "raw_text": "I mean, I think that's kind of like splitting hairs.", "start_time": 1142.94, "end_time": 1145.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 283, "text": "Would accomplish the exact same thing wherever.", "raw_text": "Would accomplish the exact same thing wherever.", "start_time": 1145.54, "end_time": 1147.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 284, "text": "Wherever we want to host the skills.", "raw_text": "Wherever we want to host the skills.", "start_time": 1147.74, "end_time": 1149.46, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 285, "text": "But like this stuff with the, with the inline ui, like you could get really prescriptive in those skills and it would probably build out like exactly the views we need to see most of the time.", "raw_text": "But like this stuff with the, with the inline ui, like you could get really prescriptive in those skills and it would probably build out like exactly the views we need to see most of the time.", "start_time": 1150.9, "end_time": 1169.71, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 286, "text": "Yeah, I agree with that.", "raw_text": "Yeah, I agree with that.", "start_time": 1172.99, "end_time": 1174.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 287, "text": "The data is.", "raw_text": "The data is.", "start_time": 1175.15, "end_time": 1176.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 288, "text": "The toggle data is pretty good.", "raw_text": "The toggle data is pretty good.", "start_time": 1176.59, "end_time": 1178.27, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 289, "text": "I'd say it's like two nines right now, which is a big jump forward.", "raw_text": "I'd say it's like two nines right now, which is a big jump forward.", "start_time": 1180.99, "end_time": 1187.95, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 290, "text": "What's cool is I have a proof.", "raw_text": "What's cool is I have a proof.", "start_time": 1189.56, "end_time": 1190.72, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 291, "text": "Proof of.", "raw_text": "Proof of.", "start_time": 1190.72, "end_time": 1191.24, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 292, "text": "Proof of concept now, which I think will be important in other data projects where I have a webhook coming from toggle that if it deletes something, it hits a web hook on foundation side and marks it as deleted in the silver layer so that it never like won't get counted anymore upstream.", "raw_text": "Proof of concept now, which I think will be important in other data projects where I have a webhook coming from toggle that if it deletes something, it hits a web hook on foundation side and marks it as deleted in the silver layer so that it never like won't get counted anymore upstream.", "start_time": 1191.24, "end_time": 1214.61, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 293, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1215.65, "end_time": 1216.13, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 294, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1217.89, "end_time": 1218.37, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 295, "text": "I totally get why like GRO goes the MCP route versus trying to like normalize that stuff.", "raw_text": "I totally get why like GRO goes the MCP route versus trying to like normalize that stuff.", "start_time": 1221.17, "end_time": 1230.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 296, "text": "Because then you have to start to handle use cases like that.", "raw_text": "Because then you have to start to handle use cases like that.", "start_time": 1232.21, "end_time": 1235.09, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 297, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1235.17, "end_time": 1235.73, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 298, "text": "Where.", "raw_text": "Where.", "start_time": 1236.29, "end_time": 1236.69, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 299, "text": "And you start dealing like, like the off authentication and authorization.", "raw_text": "And you start dealing like, like the off authentication and authorization.", "start_time": 1237.17, "end_time": 1244.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 300, "text": "Yep.", "raw_text": "Yep.", "start_time": 1247.26, "end_time": 1247.82, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 301, "text": "It would be interesting as like, like we talked about like foundation MCP as like we build out like the gaps with your other MCPs that you don't have.", "raw_text": "It would be interesting as like, like we talked about like foundation MCP as like we build out like the gaps with your other MCPs that you don't have.", "start_time": 1247.9, "end_time": 1259.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 302, "text": "But like what if we built them out as like as you would build out a normal pot of mcp.", "raw_text": "But like what if we built them out as like as you would build out a normal pot of mcp.", "start_time": 1259.66, "end_time": 1266.46, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 303, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1266.54, "end_time": 1267.02, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 304, "text": "Whereas like we don't have to care about the auth and all that stuff.", "raw_text": "Whereas like we don't have to care about the auth and all that stuff.", "start_time": 1267.49, "end_time": 1270.33, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 305, "text": "We're just a pass through.", "raw_text": "We're just a pass through.", "start_time": 1270.33, "end_time": 1271.49, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 306, "text": "Yeah, you could definitely do that.", "raw_text": "Yeah, you could definitely do that.", "start_time": 1272.29, "end_time": 1273.65, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 307, "text": "Like if you could combine like, like could you.", "raw_text": "Like if you could combine like, like could you.", "start_time": 1276.53, "end_time": 1279.97, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 308, "text": "Could you get away with not having to do all the data work, build those custom gap and fees and still have the nice canonical layer, but it's using the MCS to facilitate as opposed to.", "raw_text": "Could you get away with not having to do all the data work, build those custom gap and fees and still have the nice canonical layer, but it's using the MCS to facilitate as opposed to.", "start_time": 1279.97, "end_time": 1293.66, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 309, "text": "Yeah, it'd be slow.", "raw_text": "Yeah, it'd be slow.", "start_time": 1294.78, "end_time": 1295.94, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 310, "text": "The data pipeline.", "raw_text": "The data pipeline.", "start_time": 1295.94, "end_time": 1297.02, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 311, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1297.02, "end_time": 1297.22, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 312, "text": "It's not going to be as fast.", "raw_text": "It's not going to be as fast.", "start_time": 1297.22, "end_time": 1298.22, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 313, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1300.06, "end_time": 1300.54, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 314, "text": "Does that buy you anything over.", "raw_text": "Does that buy you anything over.", "start_time": 1300.86, "end_time": 1302.38, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 315, "text": "No, I think it's.", "raw_text": "No, I think it's.", "start_time": 1302.38, "end_time": 1303.26, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 316, "text": "I think you do.", "raw_text": "I think you do.", "start_time": 1303.42, "end_time": 1304.22, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 317, "text": "I think it's best tool for the job, honestly, like, I don't think there's a one size fits all.", "raw_text": "I think it's best tool for the job, honestly, like, I don't think there's a one size fits all.", "start_time": 1304.22, "end_time": 1308.78, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 318, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 1308.86, "end_time": 1309.42, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 319, "text": "I'm just.", "raw_text": "I'm just.", "start_time": 1309.42, "end_time": 1309.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 320, "text": "I'm just.", "raw_text": "I'm just.", "start_time": 1309.74, "end_time": 1310.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 321, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1310.18, "end_time": 1310.54, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 322, "text": "Talking.", "raw_text": "Talking.", "start_time": 1310.54, "end_time": 1311.1, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 323, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1311.34, "end_time": 1311.74, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 324, "text": "100%.", "raw_text": "100%.", "start_time": 1311.74, "end_time": 1312.38, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 325, "text": "I think you could.", "raw_text": "I think you could.", "start_time": 1312.78, "end_time": 1313.66, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 326, "text": "We could evaluate the situation and build.", "raw_text": "We could evaluate the situation and build.", "start_time": 1314.3, "end_time": 1317.7, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 327, "text": "It's like the same infrastructure underneath.", "raw_text": "It's like the same infrastructure underneath.", "start_time": 1317.7, "end_time": 1319.5, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 328, "text": "It's just like, how do you want to organize the data for Ren?", "raw_text": "It's just like, how do you want to organize the data for Ren?", "start_time": 1319.5, "end_time": 1325.95, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 329, "text": "It's going to make a lot of sense to do the full data layer because they were literally like, okay, we run on foundation erp.", "raw_text": "It's going to make a lot of sense to do the full data layer because they were literally like, okay, we run on foundation erp.", "start_time": 1325.95, "end_time": 1333.87, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 330, "text": "We're buying new roofing companies every few months.", "raw_text": "We're buying new roofing companies every few months.", "start_time": 1334.43, "end_time": 1338.27, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 331, "text": "They're on a different erp, but we want to be able to evaluate their data in the same language.", "raw_text": "They're on a different erp, but we want to be able to evaluate their data in the same language.", "start_time": 1338.43, "end_time": 1343.55, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 332, "text": "So, like, that'll make sense for them.", "raw_text": "So, like, that'll make sense for them.", "start_time": 1344.91, "end_time": 1346.83, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 333, "text": "I know.", "raw_text": "I know.", "start_time": 1348.19, "end_time": 1348.43, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 334, "text": "It's like a prime candidate.", "raw_text": "It's like a prime candidate.", "start_time": 1348.43, "end_time": 1349.75, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 335, "text": "I'm like, awesome.", "raw_text": "I'm like, awesome.", "start_time": 1349.75, "end_time": 1350.67, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 336, "text": "That's perfect fit.", "raw_text": "That's perfect fit.", "start_time": 1350.67, "end_time": 1351.79, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 337, "text": "What got really cool was they're like, if we could.", "raw_text": "What got really cool was they're like, if we could.", "start_time": 1352.51, "end_time": 1358.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 338, "text": "If we.", "raw_text": "If we.", "start_time": 1358.11, "end_time": 1358.55, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 339, "text": "I was like, they're like, well, if we could even like plug into the ERP systems before we even like, offer to buy them and we could just pull the data for like analysis to like evaluate.", "raw_text": "I was like, they're like, well, if we could even like plug into the ERP systems before we even like, offer to buy them and we could just pull the data for like analysis to like evaluate.", "start_time": 1358.55, "end_time": 1368.03, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 340, "text": "I was like, well, like, how many ERP systems are the roofing companies using?", "raw_text": "I was like, well, like, how many ERP systems are the roofing companies using?", "start_time": 1368.67, "end_time": 1372.03, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 341, "text": "Because if it's like, foundation's a big one and like, if you got three or four others, we could just build those connectors.", "raw_text": "Because if it's like, foundation's a big one and like, if you got three or four others, we could just build those connectors.", "start_time": 1372.03, "end_time": 1378.59, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 342, "text": "You get their database connection string.", "raw_text": "You get their database connection string.", "start_time": 1379.71, "end_time": 1382.35, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 343, "text": "We plug it in, you pull it in, it's like done.", "raw_text": "We plug it in, you pull it in, it's like done.", "start_time": 1382.35, "end_time": 1384.43, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 344, "text": "Yeah, that's like.", "raw_text": "Yeah, that's like.", "start_time": 1384.99, "end_time": 1385.95, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 345, "text": "That could be a one shot.", "raw_text": "That could be a one shot.", "start_time": 1386.03, "end_time": 1387.39, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 346, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1387.47, "end_time": 1387.95, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 347, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1390.03, "end_time": 1390.51, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 348, "text": "So the PE guy on the phone, I think we'll just take his job pretty soon.", "raw_text": "So the PE guy on the phone, I think we'll just take his job pretty soon.", "start_time": 1393.47, "end_time": 1396.91, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 349, "text": "Sam.", "raw_text": "Sam.", "start_time": 1397.79, "end_time": 1398.27, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 350, "text": "Jeff got so mad at Sam when he was like, he was.", "raw_text": "Jeff got so mad at Sam when he was like, he was.", "start_time": 1398.92, "end_time": 1403.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 351, "text": "He just misspoke.", "raw_text": "He just misspoke.", "start_time": 1403.8, "end_time": 1404.72, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 352, "text": "He's like, well, like, what's the.", "raw_text": "He's like, well, like, what's the.", "start_time": 1404.72, "end_time": 1405.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 353, "text": "What's this whole.", "raw_text": "What's this whole.", "start_time": 1405.84, "end_time": 1406.48, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 354, "text": "Like, he called it an ordeal.", "raw_text": "Like, he called it an ordeal.", "start_time": 1406.48, "end_time": 1407.8, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 355, "text": "Like, what's.", "raw_text": "Like, what's.", "start_time": 1407.96, "end_time": 1409, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 356, "text": "Instead of like, what's our.", "raw_text": "Instead of like, what's our.", "start_time": 1409, "end_time": 1409.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 357, "text": "What's this engagement gonna cost?", "raw_text": "What's this engagement gonna cost?", "start_time": 1409.96, "end_time": 1411.56, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 358, "text": "He's like, what's the.", "raw_text": "He's like, what's the.", "start_time": 1411.96, "end_time": 1413.64, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 359, "text": "What's the business model behind this whole ordeal?", "raw_text": "What's the business model behind this whole ordeal?", "start_time": 1413.64, "end_time": 1416.2, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 360, "text": "And Jeff was like, ordeal?", "raw_text": "And Jeff was like, ordeal?", "start_time": 1416.2, "end_time": 1418.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 361, "text": "He was literally taken aback.", "raw_text": "He was literally taken aback.", "start_time": 1419.4, "end_time": 1421.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 362, "text": "Like, you're like, what?", "raw_text": "Like, you're like, what?", "start_time": 1421.32, "end_time": 1423.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 363, "text": "And then Trevor, like, Trevor, like, could tell Jeff was just pissed.", "raw_text": "And then Trevor, like, Trevor, like, could tell Jeff was just pissed.", "start_time": 1425.56, "end_time": 1429.68, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 364, "text": "And then he chimed in and like.", "raw_text": "And then he chimed in and like.", "start_time": 1429.68, "end_time": 1431.4, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 365, "text": "And then even Morgan chimed in, was like, yeah, Sam, like, we really, like, these guys are like family.", "raw_text": "And then even Morgan chimed in, was like, yeah, Sam, like, we really, like, these guys are like family.", "start_time": 1431.56, "end_time": 1436.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 366, "text": "We trust these guys.", "raw_text": "We trust these guys.", "start_time": 1436.84, "end_time": 1437.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 367, "text": "He's like, oh.", "raw_text": "He's like, oh.", "start_time": 1437.96, "end_time": 1438.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 368, "text": "And Sam didn't say anything else for us.", "raw_text": "And Sam didn't say anything else for us.", "start_time": 1438.84, "end_time": 1440.6, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 369, "text": "I'll give you an ordeal.", "raw_text": "I'll give you an ordeal.", "start_time": 1441.72, "end_time": 1443.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 370, "text": "We were like, oh, would we do, like, a deployment model?", "raw_text": "We were like, oh, would we do, like, a deployment model?", "start_time": 1444.68, "end_time": 1447.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 371, "text": "We'll, like, work with you guys.", "raw_text": "We'll, like, work with you guys.", "start_time": 1447.12, "end_time": 1447.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 372, "text": "And he's like, well, how is this going to work?", "raw_text": "And he's like, well, how is this going to work?", "start_time": 1447.96, "end_time": 1449.76, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 373, "text": "Are you going to meet with us every day?", "raw_text": "Are you going to meet with us every day?", "start_time": 1449.76, "end_time": 1450.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 374, "text": "Is this going to be agile?", "raw_text": "Is this going to be agile?", "start_time": 1450.84, "end_time": 1451.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 375, "text": "Like, what?", "raw_text": "Like, what?", "start_time": 1451.96, "end_time": 1452.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 376, "text": "Like, tell me everything about your meeting.", "raw_text": "Like, tell me everything about your meeting.", "start_time": 1452.52, "end_time": 1454, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 377, "text": "Cadences.", "raw_text": "Cadences.", "start_time": 1454, "end_time": 1454.52, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 378, "text": "Dude, shut up.", "raw_text": "Dude, shut up.", "start_time": 1455.55, "end_time": 1456.43, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 379, "text": "That was really annoying.", "raw_text": "That was really annoying.", "start_time": 1458.59, "end_time": 1459.71, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 380, "text": "And then every question he asked is really annoying, to be honest.", "raw_text": "And then every question he asked is really annoying, to be honest.", "start_time": 1459.87, "end_time": 1462.71, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 381, "text": "Like, where's he located?", "raw_text": "Like, where's he located?", "start_time": 1462.71, "end_time": 1463.95, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 382, "text": "What was the precept or something?", "raw_text": "What was the precept or something?", "start_time": 1472.91, "end_time": 1476.35, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 383, "text": "Yeah, your team.", "raw_text": "Yeah, your team.", "start_time": 1484.15, "end_time": 1485.03, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 384, "text": "Yeah, I do think that's.", "raw_text": "Yeah, I do think that's.", "start_time": 1491.35, "end_time": 1492.87, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 385, "text": "I do think that's such a good market to go after.", "raw_text": "I do think that's such a good market to go after.", "start_time": 1497.43, "end_time": 1499.83, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 386, "text": "It's just like, these PE Firms are trying to drive.", "raw_text": "It's just like, these PE Firms are trying to drive.", "start_time": 1500.23, "end_time": 1505.67, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 387, "text": "In a couple weeks.", "raw_text": "In a couple weeks.", "start_time": 1509.83, "end_time": 1510.63, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 388, "text": "I do think PD.", "raw_text": "I do think PD.", "start_time": 1511.8, "end_time": 1512.6, "speaker_id": 0, "speaker_name": "Justin Wray"}]
participant_count
4
participants
[{"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "caden.kacmarynski@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KV0YXB3DJJNVDVP2PH1106MM | Safeguard Foundation Sync | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KV0YXB3DJJNVDVP2PH1106MM
title
Safeguard Foundation Sync
date
2026-06-15 15:30:00+00:00
duration_minutes
29
duration
29
transcript_url
https://app.fireflies.ai/view/01KV0YXB3DJJNVDVP2PH1106MM
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_YTI0MjI3MDQtOWY2My00NjAxLTk2MTYtZmM2MWY1ODU3OWNi@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"3517418b-5ff0-4aab-bb23-4366d4eb7dc9"}
short_summary
The team discussed a client's vision for a lean, spec-driven agent builder that enables quick creation and deployment of agents through markdown specifications, thereby avoiding the limitations of the existing Foundation platform. Mark Murphy emphasized the client's urgency to generate AI code rapidly. Concerns about Foundation's inability to facilitate swift AI workflows led to the considerations for a custom solution. Technical challenges regarding data structures were also identified, prompting the suggestion for a discovery sprint to clarify existing tools and gaps required for implementation. The implications of this custom agent builder potentially replacing Foundation were discussed, highlighting the need for strategic conversations about long-term impacts. A follow-up meeting with the sales and technical teams was planned to address these issues transparently and thoroughly with the client.
action_items
"\\n**Mark Murphy**\\nSend Sam Wilsey the markdown specification file from Green Bomb for review due to screen sharing issues during the demo (06:54)\\n\\n**Internal Team**\\nConduct a discovery/design sprint or dedicated sessions to clarify Green Bomb\\u2019s requirements, data needs, and potential architectural approach for the agent builder (16:39)\\n\\n**Paul (last name not specified)**\\nPlan and schedule a follow-up internal meeting including Justin, Paul, Mark, and Sam to further discuss Green Bomb\\u2019s proposal and Foundation platform strategy (26:32)\\nCommunicate with Green Bomb on the program status call to assure them that the team is actively exploring enabling options for their agent builder request and will schedule deeper discussions once internally aligned (27:10)\\n"
transcript_text
[{"index": 0, "text": "Hey, what's up, Paul?", "raw_text": "Hey, what's up, Paul?", "start_time": 4.32, "end_time": 5.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 1, "text": "Hey, Murph.", "raw_text": "Hey, Murph.", "start_time": 5.2, "end_time": 6, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 2, "text": "Hey, Sam.", "raw_text": "Hey, Sam.", "start_time": 9.92, "end_time": 10.64, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 3, "text": "Hey, Paul.", "raw_text": "Hey, Paul.", "start_time": 11.52, "end_time": 12.24, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 4, "text": "How's it going?", "raw_text": "How's it going?", "start_time": 14.64, "end_time": 15.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 5, "text": "Going well, how are you?", "raw_text": "Going well, how are you?", "start_time": 17.28, "end_time": 19.2, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 6, "text": "Finally uninstalling granola from my machine.", "raw_text": "Finally uninstalling granola from my machine.", "start_time": 21.52, "end_time": 24.52, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 7, "text": "Get that stuff out of here.", "raw_text": "Get that stuff out of here.", "start_time": 24.52, "end_time": 26, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 8, "text": "Get out.", "raw_text": "Get out.", "start_time": 26.54, "end_time": 27.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 9, "text": "Granola no good.", "raw_text": "Granola no good.", "start_time": 30.38, "end_time": 31.58, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 10, "text": "In my opinion.", "raw_text": "In my opinion.", "start_time": 34.7, "end_time": 35.58, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 11, "text": "No, There were things I liked about it, but there were definitely some things in terms of what fireflies can do that granola was unable to do that I thought would be prohibitive.", "raw_text": "No, There were things I liked about it, but there were definitely some things in terms of what fireflies can do that granola was unable to do that I thought would be prohibitive.", "start_time": 35.58, "end_time": 46.14, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 12, "text": "And apparently others had some similar issues with it.", "raw_text": "And apparently others had some similar issues with it.", "start_time": 46.14, "end_time": 49.34, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 13, "text": "Yeah, so we do what we did what you said, Paul.", "raw_text": "Yeah, so we do what we did what you said, Paul.", "start_time": 52.39, "end_time": 54.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 14, "text": "We bumped up to that annual to save all that money.", "raw_text": "We bumped up to that annual to save all that money.", "start_time": 54.91, "end_time": 57.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 15, "text": "Soldiered on.", "raw_text": "Soldiered on.", "start_time": 58.55, "end_time": 59.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 16, "text": "Cool, Cool.", "raw_text": "Cool, Cool.", "start_time": 60.15, "end_time": 62.31, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 17, "text": "I'll wait to see if Justin hops on here for another minute.", "raw_text": "I'll wait to see if Justin hops on here for another minute.", "start_time": 62.71, "end_time": 66.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 18, "text": "I know he said he might have a conflict, so.", "raw_text": "I know he said he might have a conflict, so.", "start_time": 66.27, "end_time": 68.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 19, "text": "Okay.", "raw_text": "Okay.", "start_time": 68.79, "end_time": 69.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 20, "text": "I got up to speed with him a little bit on Safeguard this morning too, so I had, I had a nice green bomb delivery on.", "raw_text": "I got up to speed with him a little bit on Safeguard this morning too, so I had, I had a nice green bomb delivery on.", "start_time": 72.87, "end_time": 79.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 21, "text": "On Friday.", "raw_text": "On Friday.", "start_time": 79.93, "end_time": 80.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 22, "text": "Yeah, let's start with that.", "raw_text": "Yeah, let's start with that.", "start_time": 81.13, "end_time": 83.45, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 23, "text": "Fill me in on that conversation.", "raw_text": "Fill me in on that conversation.", "start_time": 83.69, "end_time": 85.45, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 24, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 86.97, "end_time": 87.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 25, "text": "So.", "raw_text": "So.", "start_time": 87.41, "end_time": 87.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 26, "text": "Well, Justin already heard this, so we can get rolling on that side.", "raw_text": "Well, Justin already heard this, so we can get rolling on that side.", "start_time": 87.77, "end_time": 90.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 27, "text": "So Green mom sends over this proof of concept for an application and his thought process.", "raw_text": "So Green mom sends over this proof of concept for an application and his thought process.", "start_time": 91.05, "end_time": 102.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 28, "text": "He wants a very lean, like spec driven application for managing these agents that they want to create versus.", "raw_text": "He wants a very lean, like spec driven application for managing these agents that they want to create versus.", "start_time": 102.57, "end_time": 114.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 29, "text": "What, versus an all encompassing thing like foundation, essentially.", "raw_text": "What, versus an all encompassing thing like foundation, essentially.", "start_time": 119.27, "end_time": 124.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 30, "text": "So.", "raw_text": "So.", "start_time": 124.79, "end_time": 125.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 31, "text": "And I can show you what his UI and stuff looks like, but he essentially wants this like page to view all these agents and then they would develop these specs that they would send to Claude code, and Claude code would just look at the code in the repo, draft up a PR that would get deployed to their dev environment so they can look at it and then they can iterate from there to get it done.", "raw_text": "And I can show you what his UI and stuff looks like, but he essentially wants this like page to view all these agents and then they would develop these specs that they would send to Claude code, and Claude code would just look at the code in the repo, draft up a PR that would get deployed to their dev environment so they can look at it and then they can iterate from there to get it done.", "start_time": 125.99, "end_time": 152.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 32, "text": "I have a lot of thoughts on this, but that was what he was talking about on Friday.", "raw_text": "I have a lot of thoughts on this, but that was what he was talking about on Friday.", "start_time": 154.8, "end_time": 160.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 33, "text": "The, the, the UI is what you had sent me previously or is something different.", "raw_text": "The, the, the UI is what you had sent me previously or is something different.", "start_time": 163.86, "end_time": 171.06, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 34, "text": "Maybe?", "raw_text": "Maybe?", "start_time": 173.54, "end_time": 174.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 35, "text": "Is it here?", "raw_text": "Is it here?", "start_time": 174.5, "end_time": 175.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 36, "text": "I'll pull it up right now.", "raw_text": "I'll pull it up right now.", "start_time": 175.38, "end_time": 176.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 37, "text": "Is.", "raw_text": "Is.", "start_time": 181.94, "end_time": 182.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 38, "text": "Was it not coming up?", "raw_text": "Was it not coming up?", "start_time": 188.59, "end_time": 189.47, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 39, "text": "Yeah, it's not coming up yet.", "raw_text": "Yeah, it's not coming up yet.", "start_time": 189.63, "end_time": 191.31, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 40, "text": "No, it just like denied it.", "raw_text": "No, it just like denied it.", "start_time": 191.71, "end_time": 195.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 41, "text": "Let me try.", "raw_text": "Let me try.", "start_time": 198.27, "end_time": 198.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 42, "text": "Come on, teams.", "raw_text": "Come on, teams.", "start_time": 200.909, "end_time": 201.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 43, "text": "Oh, now my team share menu is just loading.", "raw_text": "Oh, now my team share menu is just loading.", "start_time": 201.95, "end_time": 204.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 44, "text": "Gosh.", "raw_text": "Gosh.", "start_time": 211, "end_time": 211.4, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 45, "text": "All right, let's try this again.", "raw_text": "All right, let's try this again.", "start_time": 212.44, "end_time": 213.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 46, "text": "I'd turn off video, maybe give it more bandwidth.", "raw_text": "I'd turn off video, maybe give it more bandwidth.", "start_time": 218.28, "end_time": 220.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 47, "text": "Man, what the heck is going on?", "raw_text": "Man, what the heck is going on?", "start_time": 223.64, "end_time": 225.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 48, "text": "All right, let me try hopping out real quick.", "raw_text": "All right, let me try hopping out real quick.", "start_time": 227.32, "end_time": 229, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 49, "text": "Same.", "raw_text": "Same.", "start_time": 275.18, "end_time": 275.34, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 50, "text": "If this doesn't work, I'll send it to you.", "raw_text": "If this doesn't work, I'll send it to you.", "start_time": 275.34, "end_time": 277.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 51, "text": "Okay.", "raw_text": "Okay.", "start_time": 277.42, "end_time": 278.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 52, "text": "It is dogging.", "raw_text": "It is dogging.", "start_time": 280.94, "end_time": 283.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 53, "text": "I'm gonna try to beat you to it.", "raw_text": "I'm gonna try to beat you to it.", "start_time": 288.39, "end_time": 289.83, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 54, "text": "We'll see if it works.", "raw_text": "We'll see if it works.", "start_time": 294.23, "end_time": 295.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 55, "text": "It's obviously a permissions issue or something.", "raw_text": "It's obviously a permissions issue or something.", "start_time": 295.23, "end_time": 296.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 56, "text": "Yeah, it's like crashing on me.", "raw_text": "Yeah, it's like crashing on me.", "start_time": 296.99, "end_time": 298.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 57, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 299.59, "end_time": 299.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 58, "text": "This guy.", "raw_text": "This guy.", "start_time": 299.95, "end_time": 300.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 59, "text": "Is this it?", "raw_text": "Is this it?", "start_time": 300.95, "end_time": 301.75, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 60, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 302.55, "end_time": 302.949, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 61, "text": "So this is what he talked through on Friday.", "raw_text": "So this is what he talked through on Friday.", "start_time": 302.949, "end_time": 304.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 62, "text": "And I think the, the longer, the short of it is he just wants something very focused at these agents workflows that's super minimal and they want to be able to add them quickly.", "raw_text": "And I think the, the longer, the short of it is he just wants something very focused at these agents workflows that's super minimal and they want to be able to add them quickly.", "start_time": 309.03, "end_time": 320.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 63, "text": "And I think in Greenbaum's mind it's a little simpler than he.", "raw_text": "And I think in Greenbaum's mind it's a little simpler than he.", "start_time": 323.45, "end_time": 328.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 64, "text": "He's making it simpler than he lets on which he can kind of tend to do that.", "raw_text": "He's making it simpler than he lets on which he can kind of tend to do that.", "start_time": 329.29, "end_time": 333.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 65, "text": "So we, we need to walk him there a little bit.", "raw_text": "So we, we need to walk him there a little bit.", "start_time": 333.69, "end_time": 336.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 66, "text": "I. Paul, that discussion we had last week on our pricing call where I talked about here's what an agent is, here's what an agentic workflow is, that whole thing, I, I gave that to him and he did understand that a little bit.", "raw_text": "I. Paul, that discussion we had last week on our pricing call where I talked about here's what an agent is, here's what an agentic workflow is, that whole thing, I, I gave that to him and he did understand that a little bit.", "start_time": 337.77, "end_time": 351.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 67, "text": "But.", "raw_text": "But.", "start_time": 354.25, "end_time": 354.65, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 68, "text": "I, I think the main sticking point is they, they don't have a great way even in our, like in our foundation to spin up stuff quickly using AI.", "raw_text": "I, I think the main sticking point is they, they don't have a great way even in our, like in our foundation to spin up stuff quickly using AI.", "start_time": 357.13, "end_time": 366.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 69, "text": "Like to spin up workflows quickly using AI.", "raw_text": "Like to spin up workflows quickly using AI.", "start_time": 366.81, "end_time": 369.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 70, "text": "So we would either need to put something in place so that they can do that, or this is their, I think, solution they've come to because they can't do that because they want to just be able to say here's a spec for this agent pointed at foundation.", "raw_text": "So we would either need to put something in place so that they can do that, or this is their, I think, solution they've come to because they can't do that because they want to just be able to say here's a spec for this agent pointed at foundation.", "start_time": 371.16, "end_time": 388.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 71, "text": "It takes the first pass at it.", "raw_text": "It takes the first pass at it.", "start_time": 389.08, "end_time": 390.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 72, "text": "You know, it gets 80% of the way there and then they tweak it.", "raw_text": "You know, it gets 80% of the way there and then they tweak it.", "start_time": 390.96, "end_time": 394.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 73, "text": "So it's like kind of developing an engineering harness for them.", "raw_text": "So it's like kind of developing an engineering harness for them.", "start_time": 399.25, "end_time": 408.37, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 74, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 414.85, "end_time": 415.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 75, "text": "But still very workflow replacement based.", "raw_text": "But still very workflow replacement based.", "start_time": 415.25, "end_time": 418.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 76, "text": "So they.", "raw_text": "So they.", "start_time": 423.5, "end_time": 423.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 77, "text": "Here, Sam, I'll send this to you because apparently nothing works on my side.", "raw_text": "Here, Sam, I'll send this to you because apparently nothing works on my side.", "start_time": 424.54, "end_time": 428.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 78, "text": "Let me send you the spec that he sent over and showed on the meeting.", "raw_text": "Let me send you the spec that he sent over and showed on the meeting.", "start_time": 430.94, "end_time": 434.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 79, "text": "It's just a markdown file.", "raw_text": "It's just a markdown file.", "start_time": 438.46, "end_time": 440.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 80, "text": "Okay.", "raw_text": "Okay.", "start_time": 447.03, "end_time": 447.59, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 81, "text": "But in his.", "raw_text": "But in his.", "start_time": 451.67, "end_time": 453.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 82, "text": "Sorry, go ahead, Paul.", "raw_text": "Sorry, go ahead, Paul.", "start_time": 454.55, "end_time": 455.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 83, "text": "I was just gonna.", "raw_text": "I was just gonna.", "start_time": 455.87, "end_time": 456.55, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 84, "text": "Based on what he's asking for, how would we propose that they do that in foundation some way or keep it outside for some reason?", "raw_text": "Based on what he's asking for, how would we propose that they do that in foundation some way or keep it outside for some reason?", "start_time": 456.71, "end_time": 472.07, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 85, "text": "I think we.", "raw_text": "I think we.", "start_time": 479.68, "end_time": 480.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 86, "text": "I'm open to opinions there from, from his proposal.", "raw_text": "I'm open to opinions there from, from his proposal.", "start_time": 480.2, "end_time": 483.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 87, "text": "He seemed like he just wanted his own custom solution, but I think we could certainly pitch back on or push back on a Foundation version of that.", "raw_text": "He seemed like he just wanted his own custom solution, but I think we could certainly pitch back on or push back on a Foundation version of that.", "start_time": 484.08, "end_time": 494.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 88, "text": "But yeah, you know how Green Bomb is.", "raw_text": "But yeah, you know how Green Bomb is.", "start_time": 500.89, "end_time": 502.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 89, "text": "I just want it this way.", "raw_text": "I just want it this way.", "start_time": 502.49, "end_time": 503.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 90, "text": "And that's how my vision is.", "raw_text": "And that's how my vision is.", "start_time": 504.89, "end_time": 507.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 91, "text": "So let's go.", "raw_text": "So let's go.", "start_time": 507.97, "end_time": 508.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 92, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 510.49, "end_time": 510.97, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 93, "text": "So yeah, it.", "raw_text": "So yeah, it.", "start_time": 513.37, "end_time": 514.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 94, "text": "So these are, these are the, the specs that kind of, they've been working on internally and how they see it.", "raw_text": "So these are, these are the, the specs that kind of, they've been working on internally and how they see it.", "start_time": 515.05, "end_time": 521.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 95, "text": "So they would put together a specific for a new agent.", "raw_text": "So they would put together a specific for a new agent.", "start_time": 521.01, "end_time": 525.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 96, "text": "For this given custom agent repo and then they drop that then to a coding agent to take the first crack at it.", "raw_text": "For this given custom agent repo and then they drop that then to a coding agent to take the first crack at it.", "start_time": 529.67, "end_time": 537.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 97, "text": "Okay.", "raw_text": "Okay.", "start_time": 539.19, "end_time": 539.83, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 98, "text": "And then you know, that could get deployed to their environment in a PR to a dev spot and then they would just iterate from there.", "raw_text": "And then you know, that could get deployed to their environment in a PR to a dev spot and then they would just iterate from there.", "start_time": 540.47, "end_time": 550.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 99, "text": "And then there's a bunch of stuff like if you click on to like the GrassQC agent in that HTML example, there's like config for stuff and other things.", "raw_text": "And then there's a bunch of stuff like if you click on to like the GrassQC agent in that HTML example, there's like config for stuff and other things.", "start_time": 552.71, "end_time": 563.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 100, "text": "But he wanted us to scope out building this.", "raw_text": "But he wanted us to scope out building this.", "start_time": 563.23, "end_time": 565.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 101, "text": "So I just spent Friday like trying to understand it and hear him out.", "raw_text": "So I just spent Friday like trying to understand it and hear him out.", "start_time": 568.55, "end_time": 572.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 102, "text": "And then I wanted to talk internally about what do we, what do we want to do about this?", "raw_text": "And then I wanted to talk internally about what do we, what do we want to do about this?", "start_time": 574.07, "end_time": 582.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 103, "text": "Like, okay, so they have, Mike's got an idea in his head about the new agent that he wants to build.", "raw_text": "Like, okay, so they have, Mike's got an idea in his head about the new agent that he wants to build.", "start_time": 587.09, "end_time": 598.21, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 104, "text": "He comes up with the specific IT pass that over to a coding agent which gets it some percentage of the way there.", "raw_text": "He comes up with the specific IT pass that over to a coding agent which gets it some percentage of the way there.", "start_time": 600.13, "end_time": 610.65, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 105, "text": "Gets it started.", "raw_text": "Gets it started.", "start_time": 610.65, "end_time": 612.25, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 106, "text": "Yep.", "raw_text": "Yep.", "start_time": 613.13, "end_time": 613.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 107, "text": "And like it's, it's building a, Like when he, when he says it gets it some percentage of the way there.", "raw_text": "And like it's, it's building a, Like when he, when he says it gets it some percentage of the way there.", "start_time": 614.41, "end_time": 638.82, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 108, "text": "Like it's a, it's demo wear or like it's actually connected to their system somehow?", "raw_text": "Like it's a, it's demo wear or like it's actually connected to their system somehow?", "start_time": 638.98, "end_time": 652.82, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 109, "text": "No, it would be like connected to their system knowledge of their stuff.", "raw_text": "No, it would be like connected to their system knowledge of their stuff.", "start_time": 656.11, "end_time": 660.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 110, "text": "It would be an actual agent getting work done.", "raw_text": "It would be an actual agent getting work done.", "start_time": 661.39, "end_time": 664.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 111, "text": "That's not to say it's like turned on and in production, but it's, he's getting at the speed at which they can iterate and start to use these internal agents.", "raw_text": "That's not to say it's like turned on and in production, but it's, he's getting at the speed at which they can iterate and start to use these internal agents.", "start_time": 668.43, "end_time": 679.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 112, "text": "How do you handle the data side of that?", "raw_text": "How do you handle the data side of that?", "start_time": 683.98, "end_time": 687.98, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 113, "text": "Like, I think there's a million questions on the implementation detail side that you know, he's, he's not necessarily thinking of.", "raw_text": "Like, I think there's a million questions on the implementation detail side that you know, he's, he's not necessarily thinking of.", "start_time": 688.86, "end_time": 698.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 114, "text": "Because if, if you look at his, his wireframe of like this grass QC agent, you know, you click into a run and it still has steps that the agent is doing and going through.", "raw_text": "Because if, if you look at his, his wireframe of like this grass QC agent, you know, you click into a run and it still has steps that the agent is doing and going through.", "start_time": 703.42, "end_time": 716.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 115, "text": "Like you're still going to have to have a workflow, data model, concept of runs, the concept of steps for each workflow.", "raw_text": "Like you're still going to have to have a workflow, data model, concept of runs, the concept of steps for each workflow.", "start_time": 718.57, "end_time": 728.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 116, "text": "A lot of parallel stuff that I think we're already doing in Foundation.", "raw_text": "A lot of parallel stuff that I think we're already doing in Foundation.", "start_time": 731.69, "end_time": 734.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 117, "text": "So.", "raw_text": "So.", "start_time": 736.13, "end_time": 736.37, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 118, "text": "I, in my head I'm thinking like, okay, we can do a really, really high level ballpark on what he's proposing and try to build.", "raw_text": "I, in my head I'm thinking like, okay, we can do a really, really high level ballpark on what he's proposing and try to build.", "start_time": 739.57, "end_time": 748.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 119, "text": "But then I think we need to give him like an alternative in foundation to get him what he wants from a speed of, speed of turnaround on these agents and workflows.", "raw_text": "But then I think we need to give him like an alternative in foundation to get him what he wants from a speed of, speed of turnaround on these agents and workflows.", "start_time": 749.33, "end_time": 766.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 120, "text": "Like he just wants to be able to do this quickly.", "raw_text": "Like he just wants to be able to do this quickly.", "start_time": 769.34, "end_time": 771.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 121, "text": "Like I feel like we already have a structure for it.", "raw_text": "Like I feel like we already have a structure for it.", "start_time": 771.7, "end_time": 775.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 122, "text": "Yeah, he, he's in his mind, he's just like, why would I, why would I go into a UI or something to use this when I can leverage an LLM and cloud code to do this and have it generate the code and just get moving that way?", "raw_text": "Yeah, he, he's in his mind, he's just like, why would I, why would I go into a UI or something to use this when I can leverage an LLM and cloud code to do this and have it generate the code and just get moving that way?", "start_time": 776.38, "end_time": 791.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 123, "text": "Like I think this will be A common thing that that's going to come up with like a lot of SAS products is unless you're able to chat with them and use them via an MCP or in Claude, like why would I use them at all?", "raw_text": "Like I think this will be A common thing that that's going to come up with like a lot of SAS products is unless you're able to chat with them and use them via an MCP or in Claude, like why would I use them at all?", "start_time": 797.88, "end_time": 810.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 124, "text": "So I think this is a, an example of that.", "raw_text": "So I think this is a, an example of that.", "start_time": 812.76, "end_time": 815.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 125, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 816.64, "end_time": 817.12, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 126, "text": "And, and I, I actually don't want to, I don't want to have a knee jerk reaction of no, just do it in foundation.", "raw_text": "And, and I, I actually don't want to, I don't want to have a knee jerk reaction of no, just do it in foundation.", "start_time": 818.32, "end_time": 827.04, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 127, "text": "Like maybe he's right.", "raw_text": "Like maybe he's right.", "start_time": 827.36, "end_time": 829.84, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 128, "text": "Like right, right.", "raw_text": "Like right, right.", "start_time": 829.92, "end_time": 832.28, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 129, "text": "I want to, I want to talk through maybe he's right and if he is right, what does that look like?", "raw_text": "I want to, I want to talk through maybe he's right and if he is right, what does that look like?", "start_time": 832.28, "end_time": 836.8, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 130, "text": "And I, I'm trying to figure out in my head like how would you compare, like would you say they have a data lake?", "raw_text": "And I, I'm trying to figure out in my head like how would you compare, like would you say they have a data lake?", "start_time": 837.84, "end_time": 849.33, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 131, "text": "I don't know if I would say a data lake.", "raw_text": "I don't know if I would say a data lake.", "start_time": 855.41, "end_time": 857.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 132, "text": "I think they have a very good, like a very good service layer of, of tools and services that they can dip in into to get the data and stuff they need and to take actions on stuff.", "raw_text": "I think they have a very good, like a very good service layer of, of tools and services that they can dip in into to get the data and stuff they need and to take actions on stuff.", "start_time": 857.17, "end_time": 868.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 133, "text": "And could they, could, could they provide that service layer to this.", "raw_text": "And could they, could, could they provide that service layer to this.", "start_time": 869.65, "end_time": 873.89, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 134, "text": "I'm just going to call it agent builder in such a way that it's consumable, it could figure out what services there are to leverage to get the right data to feed these agents to do what he's asking for.", "raw_text": "I'm just going to call it agent builder in such a way that it's consumable, it could figure out what services there are to leverage to get the right data to feed these agents to do what he's asking for.", "start_time": 874.77, "end_time": 895.97, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 135, "text": "And I'm like, compare whatever they have to do that to what we could do with Cube, like what we've done with Cube with bronze, silver, gold tier.", "raw_text": "And I'm like, compare whatever they have to do that to what we could do with Cube, like what we've done with Cube with bronze, silver, gold tier.", "start_time": 896.68, "end_time": 913.24, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 136, "text": "Hey, we know exactly what project, the gold standard of what project means to us and the six systems that are feeding that with various fields to get us to.", "raw_text": "Hey, we know exactly what project, the gold standard of what project means to us and the six systems that are feeding that with various fields to get us to.", "start_time": 914.04, "end_time": 928.28, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 137, "text": "Here's our gold representation of project.", "raw_text": "Here's our gold representation of project.", "start_time": 928.6, "end_time": 931.16, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 138, "text": "Do they have an equivalent to build this agent builder on top of?", "raw_text": "Do they have an equivalent to build this agent builder on top of?", "start_time": 931.96, "end_time": 938.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 139, "text": "I think they could probably get there like they could spend time to give the agent the context on that stuff to get rolling with it.", "raw_text": "I think they could probably get there like they could spend time to give the agent the context on that stuff to get rolling with it.", "start_time": 944.6, "end_time": 954.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 140, "text": "I don't think it's, it wouldn't be as like comprehensive as like a cube.", "raw_text": "I don't think it's, it wouldn't be as like comprehensive as like a cube.", "start_time": 954.29, "end_time": 958.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 141, "text": "So it's not like they'd have a universal API or like a canonical API, but it would be, you know, context within the repo to say this is how Safeguard operates.", "raw_text": "So it's not like they'd have a universal API or like a canonical API, but it would be, you know, context within the repo to say this is how Safeguard operates.", "start_time": 958.29, "end_time": 969.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 142, "text": "Here's what services are available to you as an agent that as we line up like as we figure out our use cases in this spec, like pull whichever ones you need to.", "raw_text": "Here's what services are available to you as an agent that as we line up like as we figure out our use cases in this spec, like pull whichever ones you need to.", "start_time": 969.65, "end_time": 981.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 143, "text": "So I, I think that's as far as like tech architecture.", "raw_text": "So I, I think that's as far as like tech architecture.", "start_time": 987.42, "end_time": 994.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 144, "text": "I feel like they're in a, a decent spot.", "raw_text": "I feel like they're in a, a decent spot.", "start_time": 994.46, "end_time": 997.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 145, "text": "And if we said, okay, we'll build this for you, there will be a starting discovery design sprint to figure out what do you need to power this?", "raw_text": "And if we said, okay, we'll build this for you, there will be a starting discovery design sprint to figure out what do you need to power this?", "start_time": 999.75, "end_time": 1019.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 146, "text": "And either the services layer that they have now is good enough and we've done, you know, some investigation to figure that out or we've identified.", "raw_text": "And either the services layer that they have now is good enough and we've done, you know, some investigation to figure that out or we've identified.", "start_time": 1020.15, "end_time": 1032.62, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 147, "text": "You need a little bit more and this is what a little bit more looks like.", "raw_text": "You need a little bit more and this is what a little bit more looks like.", "start_time": 1033.26, "end_time": 1037.74, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 148, "text": "Whatever that data engineering effort is would be potentially part of identifying what those things are and what still needs built to really enable this agent builder would be part of a discovery design Sprint potentially.", "raw_text": "Whatever that data engineering effort is would be potentially part of identifying what those things are and what still needs built to really enable this agent builder would be part of a discovery design Sprint potentially.", "start_time": 1037.74, "end_time": 1054.02, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 149, "text": "I'm just talking out loud.", "raw_text": "I'm just talking out loud.", "start_time": 1054.02, "end_time": 1055.34, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 150, "text": "Yeah, I, I, I think they really like if they really want to do this right, they need to have that design type of Sprint or we would definitely need to have some understand sessions to tease out Mike's head.", "raw_text": "Yeah, I, I, I think they really like if they really want to do this right, they need to have that design type of Sprint or we would definitely need to have some understand sessions to tease out Mike's head.", "start_time": 1059.81, "end_time": 1074.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 151, "text": "I, I get it conceptually but I don't, I don't think technically they thought it through.", "raw_text": "I, I get it conceptually but I don't, I don't think technically they thought it through.", "start_time": 1074.17, "end_time": 1081.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 152, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1082.57, "end_time": 1082.89, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 153, "text": "So I don't know like should we, do you think we should schedule a, a follow up on this in particular with you know, with more of like the sales team involved either like you or Justin to like tease out that.", "raw_text": "So I don't know like should we, do you think we should schedule a, a follow up on this in particular with you know, with more of like the sales team involved either like you or Justin to like tease out that.", "start_time": 1092.01, "end_time": 1113.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 154, "text": "Yeah, I, I think we, I do, I do want to have this conversation, conversation with Justin as well.", "raw_text": "Yeah, I, I think we, I do, I do want to have this conversation, conversation with Justin as well.", "start_time": 1113.88, "end_time": 1119.4, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 155, "text": "And the next thing I'm about to say is.", "raw_text": "And the next thing I'm about to say is.", "start_time": 1122.36, "end_time": 1127.08, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 156, "text": "This, don't take this in any derogative light whatsoever.", "raw_text": "This, don't take this in any derogative light whatsoever.", "start_time": 1134.2, "end_time": 1142.79, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 157, "text": "This is purely, I don't know the exact skill set.", "raw_text": "This is purely, I don't know the exact skill set.", "start_time": 1142.79, "end_time": 1147.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 158, "text": "I know that David's specialty is data engineering.", "raw_text": "I know that David's specialty is data engineering.", "start_time": 1149.59, "end_time": 1153.27, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 159, "text": "Do we want his head looking at this as well or we don't, we don't need that.", "raw_text": "Do we want his head looking at this as well or we don't, we don't need that.", "start_time": 1155.35, "end_time": 1161.31, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 160, "text": "We, we understand the kind of data engineering required to enable something like this.", "raw_text": "We, we understand the kind of data engineering required to enable something like this.", "start_time": 1161.31, "end_time": 1166.99, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 161, "text": "I honestly don't know the answer to that question.", "raw_text": "I honestly don't know the answer to that question.", "start_time": 1168.11, "end_time": 1170.03, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 162, "text": "Yeah, I don't even think we're, we're at like the data engineering part of it even.", "raw_text": "Yeah, I don't even think we're, we're at like the data engineering part of it even.", "start_time": 1171.47, "end_time": 1177.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 163, "text": "Okay.", "raw_text": "Okay.", "start_time": 1177.87, "end_time": 1178.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 164, "text": "I mean I would always love Boone to be involved.", "raw_text": "I mean I would always love Boone to be involved.", "start_time": 1180.35, "end_time": 1182.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 165, "text": "That guy's great.", "raw_text": "That guy's great.", "start_time": 1183.31, "end_time": 1184.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 166, "text": "But yeah, I don't necessarily think so.", "raw_text": "But yeah, I don't necessarily think so.", "start_time": 1187.48, "end_time": 1191.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 167, "text": "Okay.", "raw_text": "Okay.", "start_time": 1191.72, "end_time": 1192.28, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 168, "text": "I think the data side is also going to be very like, it's going to be very agent and workflow specific.", "raw_text": "I think the data side is also going to be very like, it's going to be very agent and workflow specific.", "start_time": 1193.56, "end_time": 1199.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 169, "text": "Like they don't even care.", "raw_text": "Like they don't even care.", "start_time": 1199.88, "end_time": 1201.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 170, "text": "I don't think they care to have like a data lake necessarily.", "raw_text": "I don't think they care to have like a data lake necessarily.", "start_time": 1203.08, "end_time": 1206.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 171, "text": "They just want the code gen for these workflows and agents to be very fast and they don't care if it's just hard coded like just true code.", "raw_text": "They just want the code gen for these workflows and agents to be very fast and they don't care if it's just hard coded like just true code.", "start_time": 1206.44, "end_time": 1218.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 172, "text": "Like there, there may be no you know, cube layer or anything sophisticated like that.", "raw_text": "Like there, there may be no you know, cube layer or anything sophisticated like that.", "start_time": 1221.75, "end_time": 1226.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 173, "text": "Like, like that.", "raw_text": "Like, like that.", "start_time": 1227.27, "end_time": 1229.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 174, "text": "It's, it's funny because that's where we originally started with this workflow at some point was we had the sub vacant inspection just as code but their kickback was we, we can't, we can't edit it, we can't change it, we can't see it and so this should, this is like a hybrid of that where they, they can do it and, and get stuff up quick but then there's still like this, if you go into that wireframe, there's like this config tab where per workflow you expose little flags and stuff that they can dial up and turn off and whatever.", "raw_text": "It's, it's funny because that's where we originally started with this workflow at some point was we had the sub vacant inspection just as code but their kickback was we, we can't, we can't edit it, we can't change it, we can't see it and so this should, this is like a hybrid of that where they, they can do it and, and get stuff up quick but then there's still like this, if you go into that wireframe, there's like this config tab where per workflow you expose little flags and stuff that they can dial up and turn off and whatever.", "start_time": 1229.19, "end_time": 1267.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 175, "text": "Like, I just have so many questions around this and the implications of it.", "raw_text": "Like, I just have so many questions around this and the implications of it.", "start_time": 1270.33, "end_time": 1276.57, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 176, "text": "Like, like, would this potentially over time take them away from foundation completely.", "raw_text": "Like, like, would this potentially over time take them away from foundation completely.", "start_time": 1276.57, "end_time": 1283.29, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 177, "text": "In the way I understood is this, this replaces foundation entirely in my, in my eyes.", "raw_text": "In the way I understood is this, this replaces foundation entirely in my, in my eyes.", "start_time": 1285.53, "end_time": 1296.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 178, "text": "Okay.", "raw_text": "Okay.", "start_time": 1296.7, "end_time": 1297.34, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 179, "text": "He's trying to weigh doing like just a completely custom version like this versus I think using Foundation.", "raw_text": "He's trying to weigh doing like just a completely custom version like this versus I think using Foundation.", "start_time": 1298.46, "end_time": 1304.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 180, "text": "Okay.", "raw_text": "Okay.", "start_time": 1307.58, "end_time": 1308.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 181, "text": "Because, because if you think of how we're using it right now, like they don't care.", "raw_text": "Because, because if you think of how we're using it right now, like they don't care.", "start_time": 1308.86, "end_time": 1312.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 182, "text": "We're not using the data platform for them.", "raw_text": "We're not using the data platform for them.", "start_time": 1312.66, "end_time": 1314.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 183, "text": "They don't really care about that.", "raw_text": "They don't really care about that.", "start_time": 1314.46, "end_time": 1315.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 184, "text": "They're not really using the chat.", "raw_text": "They're not really using the chat.", "start_time": 1316.22, "end_time": 1317.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 185, "text": "They just want to automate workflows and use agents.", "raw_text": "They just want to automate workflows and use agents.", "start_time": 1318.22, "end_time": 1321.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 186, "text": "So they're using like one of our three pillars.", "raw_text": "So they're using like one of our three pillars.", "start_time": 1324.06, "end_time": 1326.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 187, "text": "Okay.", "raw_text": "Okay.", "start_time": 1331.82, "end_time": 1332.46, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 188, "text": "I don't like.", "raw_text": "I don't like.", "start_time": 1348.15, "end_time": 1348.95, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 189, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1352.15, "end_time": 1352.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 190, "text": "Yep.", "raw_text": "Yep.", "start_time": 1352.79, "end_time": 1353.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 191, "text": "Given, given the desire to do that, especially from essentially the client that we have really built foundation with.", "raw_text": "Given, given the desire to do that, especially from essentially the client that we have really built foundation with.", "start_time": 1354.15, "end_time": 1369.75, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 192, "text": "Yep.", "raw_text": "Yep.", "start_time": 1371.19, "end_time": 1371.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 193, "text": "Given the capabilities of, given the ever improving capabilities of the LLMs, is it obsoleting Foundation?", "raw_text": "Given the capabilities of, given the ever improving capabilities of the LLMs, is it obsoleting Foundation?", "start_time": 1371.99, "end_time": 1388.47, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 194, "text": "Like, that's the, that's the other thing where my head goes like this is, this is the client that was pushing us to do something that required us to develop Foundation.", "raw_text": "Like, that's the, that's the other thing where my head goes like this is, this is the client that was pushing us to do something that required us to develop Foundation.", "start_time": 1395.03, "end_time": 1405.94, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 195, "text": "Now he's, they are putting foundation in production.", "raw_text": "Now he's, they are putting foundation in production.", "start_time": 1406.9, "end_time": 1409.9, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 196, "text": "They have put foundation in production and he's continuing to push us.", "raw_text": "They have put foundation in production and he's continuing to push us.", "start_time": 1409.9, "end_time": 1416.099, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 197, "text": "And is he glimpsing the potential reality that what you can do with Claude, for example, kind of obsoletes what we built with Foundation?", "raw_text": "And is he glimpsing the potential reality that what you can do with Claude, for example, kind of obsoletes what we built with Foundation?", "start_time": 1418.02, "end_time": 1437.18, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 198, "text": "That's a scary thing to say.", "raw_text": "That's a scary thing to say.", "start_time": 1437.42, "end_time": 1438.98, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 199, "text": "But I want to understand, I want to understand that more.", "raw_text": "But I want to understand, I want to understand that more.", "start_time": 1438.98, "end_time": 1444.94, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 200, "text": "Do you want my on the record or off the record opinion?", "raw_text": "Do you want my on the record or off the record opinion?", "start_time": 1449.66, "end_time": 1452.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 201, "text": "Honestly?", "raw_text": "Honestly?", "start_time": 1453.1, "end_time": 1453.9, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 202, "text": "Off the record.", "raw_text": "Off the record.", "start_time": 1454.3, "end_time": 1455.1, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 203, "text": "No, I mean, I, I mean this stuff's moving so fast, right?", "raw_text": "No, I mean, I, I mean this stuff's moving so fast, right?", "start_time": 1459.81, "end_time": 1462.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 204, "text": "Like, yeah, I, I, I think, I think you're going to see a lot of these guys wanting to do it custom because of how good coding models are, how much it's going to be relying on stuff from their system.", "raw_text": "Like, yeah, I, I, I think, I think you're going to see a lot of these guys wanting to do it custom because of how good coding models are, how much it's going to be relying on stuff from their system.", "start_time": 1462.37, "end_time": 1482.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 205, "text": "And, and I think just the overall view of why would we have this platform in the middle to do it?", "raw_text": "And, and I think just the overall view of why would we have this platform in the middle to do it?", "start_time": 1483.88, "end_time": 1492.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 206, "text": "Like we want to own the platform, we want to be able to throw coding agents at it because that's so easy to do now.", "raw_text": "Like we want to own the platform, we want to be able to throw coding agents at it because that's so easy to do now.", "start_time": 1492.08, "end_time": 1499.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 207, "text": "Like there's, there's a few different things fighting against, working against us there.", "raw_text": "Like there's, there's a few different things fighting against, working against us there.", "start_time": 1499.48, "end_time": 1507.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 208, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1507.8, "end_time": 1508.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 209, "text": "Like if, if we would have approached this project as a non foundation project.", "raw_text": "Like if, if we would have approached this project as a non foundation project.", "start_time": 1509.23, "end_time": 1513.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 210, "text": "As just a true custom build.", "raw_text": "As just a true custom build.", "start_time": 1514.03, "end_time": 1515.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 211, "text": "I, I wouldn't have built foundation for them, let's just put it that way.", "raw_text": "I, I wouldn't have built foundation for them, let's just put it that way.", "start_time": 1516.75, "end_time": 1521.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 212, "text": "Okay.", "raw_text": "Okay.", "start_time": 1525.31, "end_time": 1525.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 213, "text": "You know, I would have built, you know, a class B type software that's very specific to how they want to use it and take advantage of it.", "raw_text": "You know, I would have built, you know, a class B type software that's very specific to how they want to use it and take advantage of it.", "start_time": 1526.35, "end_time": 1534.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 214, "text": "So I, I think that's probably a larger discussion, but.", "raw_text": "So I, I think that's probably a larger discussion, but.", "start_time": 1536.92, "end_time": 1540.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 215, "text": "Yeah, yeah, yeah, let's revisit this with Justin.", "raw_text": "Yeah, yeah, yeah, let's revisit this with Justin.", "start_time": 1543.16, "end_time": 1549.16, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 216, "text": "Okay.", "raw_text": "Okay.", "start_time": 1549.88, "end_time": 1550.52, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 217, "text": "I think I, I think I conceptually have a better understanding of what he's asking for, why he's asking for it,.", "raw_text": "I think I, I think I conceptually have a better understanding of what he's asking for, why he's asking for it,.", "start_time": 1555.32, "end_time": 1560.92, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 218, "text": "And.", "raw_text": "And.", "start_time": 1562.52, "end_time": 1562.76, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 219, "text": "I think it's a legitimate ask.", "raw_text": "I think it's a legitimate ask.", "start_time": 1564.76, "end_time": 1566.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 220, "text": "I think it's a legitimate ask, kind of get it.", "raw_text": "I think it's a legitimate ask, kind of get it.", "start_time": 1566.52, "end_time": 1572, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 221, "text": "I agree, I agree.", "raw_text": "I agree, I agree.", "start_time": 1572, "end_time": 1573.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 222, "text": "I, I think it's more, more engineering than he thinks, but I think long term, it, it's, Yeah, I think it, I get why he's asking it.", "raw_text": "I, I think it's more, more engineering than he thinks, but I think long term, it, it's, Yeah, I think it, I get why he's asking it.", "start_time": 1573.08, "end_time": 1582.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 223, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1584.2, "end_time": 1584.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 224, "text": "Okay.", "raw_text": "Okay.", "start_time": 1585.96, "end_time": 1586.52, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 225, "text": "As far as the immediate goes with Safeguard, do we want to just schedule something later in the week to follow up on this?", "raw_text": "As far as the immediate goes with Safeguard, do we want to just schedule something later in the week to follow up on this?", "start_time": 1592.49, "end_time": 1600.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 226, "text": "We're already doing like four projects with them, so I'm just, we're just, we're just trying to get stuff done in the, you know, in the delivery phase.", "raw_text": "We're already doing like four projects with them, so I'm just, we're just, we're just trying to get stuff done in the, you know, in the delivery phase.", "start_time": 1602.33, "end_time": 1610.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 227, "text": "You mean internally or miss.", "raw_text": "You mean internally or miss.", "start_time": 1611.93, "end_time": 1615.08, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 228, "text": "Probably both.", "raw_text": "Probably both.", "start_time": 1617.16, "end_time": 1617.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 229, "text": "I mean, one, I want Justin to, to chime in, but I, I,.", "raw_text": "I mean, one, I want Justin to, to chime in, but I, I,.", "start_time": 1617.8, "end_time": 1621.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 230, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 1623.48, "end_time": 1623.96, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 231, "text": "I guess, you know, Green Mom's gonna be asking tomorrow on our program status call for, for an update on it.", "raw_text": "I guess, you know, Green Mom's gonna be asking tomorrow on our program status call for, for an update on it.", "start_time": 1624.04, "end_time": 1630.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 232, "text": "Tell them we're looking at it like.", "raw_text": "Tell them we're looking at it like.", "start_time": 1630.92, "end_time": 1632.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 233, "text": "Yeah, we are, we are.", "raw_text": "Yeah, we are, we are.", "start_time": 1633.32, "end_time": 1634.84, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 234, "text": "We're looking at different ways to enable this for him.", "raw_text": "We're looking at different ways to enable this for him.", "start_time": 1636.92, "end_time": 1640.78, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 235, "text": "And we're going to have, we're going to have another internal session as soon as we can.", "raw_text": "And we're going to have, we're going to have another internal session as soon as we can.", "start_time": 1641.34, "end_time": 1646.78, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 236, "text": "And once we've kind of gathered our approach together, we'll, we'll schedule something with them.", "raw_text": "And once we've kind of gathered our approach together, we'll, we'll schedule something with them.", "start_time": 1647.1, "end_time": 1654.06, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 237, "text": "But I mean, we could have this conversation with, with Justin.", "raw_text": "But I mean, we could have this conversation with, with Justin.", "start_time": 1656.54, "end_time": 1659.1, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 238, "text": "Like, I, I don't know what Justin's calendar looks like, but there tomorrow even.", "raw_text": "Like, I, I don't know what Justin's calendar looks like, but there tomorrow even.", "start_time": 1659.1, "end_time": 1666.87, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 239, "text": "I've got three o' clock tomorrow, if that works for you guys.", "raw_text": "I've got three o' clock tomorrow, if that works for you guys.", "start_time": 1668.55, "end_time": 1672.71, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 240, "text": "Schedules are a bit of a mess, but that one's open for everybody after the biz dev call.", "raw_text": "Schedules are a bit of a mess, but that one's open for everybody after the biz dev call.", "start_time": 1673.51, "end_time": 1678.23, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 241, "text": "Yeah, I can do that.", "raw_text": "Yeah, I can do that.", "start_time": 1678.71, "end_time": 1679.83, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 242, "text": "Yeah, good for me too.", "raw_text": "Yeah, good for me too.", "start_time": 1681.03, "end_time": 1682.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 243, "text": "Cool.", "raw_text": "Cool.", "start_time": 1685.43, "end_time": 1685.91, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 244, "text": "All right.", "raw_text": "All right.", "start_time": 1686.71, "end_time": 1687.27, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 245, "text": "All right, well, thank you for hopping on.", "raw_text": "All right, well, thank you for hopping on.", "start_time": 1687.59, "end_time": 1690.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 246, "text": "That's very green ball mask.", "raw_text": "That's very green ball mask.", "start_time": 1691.6, "end_time": 1693.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 247, "text": "We'll soldier on on the other front.", "raw_text": "We'll soldier on on the other front.", "start_time": 1695.44, "end_time": 1697.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 248, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1697.84, "end_time": 1698.48, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 249, "text": "Cool.", "raw_text": "Cool.", "start_time": 1698.8, "end_time": 1699.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 250, "text": "All right, awesome.", "raw_text": "All right, awesome.", "start_time": 1699.36, "end_time": 1700.8, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 251, "text": "Thanks, guys.", "raw_text": "Thanks, guys.", "start_time": 1700.88, "end_time": 1701.48, "speaker_id": 2, "speaker_name": "Sam Wilsey"}, {"index": 252, "text": "Thanks, guys.", "raw_text": "Thanks, guys.", "start_time": 1701.48, "end_time": 1702, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 253, "text": "By.", "raw_text": "By.", "start_time": 1702.72, "end_time": 1703.12, "speaker_id": 1, "speaker_name": "Paul Franke"}]
participant_count
4
participants
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provider
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Source Record
bronze_fireflies_meetings
id
01KN7898WPG9H4GM65ZD93YRHT
title
Foundation Stand up
date
2026-04-09 17:00:00+00:00
duration_minutes
11
duration
11
transcript_url
https://app.fireflies.ai/view/01KN7898WPG9H4GM65ZD93YRHT
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_MzQ3M2YzNjUtMjU5Ny00N2FiLThhYjItNjM5YmRhODA4ZmQ2@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team discussed critical issues affecting workflow persistence and data accuracy, particularly workflow execution failures when users leave screens and the absence of version control leading to workflow breakages. Justin Wray proposed the use of Redis for resumable storage to ensure reliable workflow message parts and a draft/publish model to prevent unintended auto-saved changes. Additionally, a codebase divergence caused disruptions in Microsoft login, which Justin plans to fix promptly. Enhancements to the app builder's UI/UX framework, contributed by Hayden, aim to streamline app development with reusable components. Efforts to improve data synchronization through webhook integrations for deletion were also highlighted, with a 2% data mismatch still needing resolution. QuickBooks data issues are under validation to confirm integration accuracy for financial integrity.
action_items
"\\n**Justin Wray**\\nFix workflow persistence issues by implementing resumable screen support using a backend solution such as Redis (04:06)\\nCorrect the improper main branch merge from Safeguard foundation affecting Microsoft login functionality (04:06)\\nReview and explore Hayden\\u2019s app builder UI/UX framework enhancements for potential integration or testing (05:53)\\nDevelop versioning functionality in the workflow builder to differentiate between published and draft workflows, preventing accidental live edits (06:40)\\nInvestigate and verify QuickBooks data accuracy from MCP reports and collaborate with Sam on outstanding data irregularities (09:55)\\nContinue tracking and resolving remaining Toggle entity resolution and duplication issues to close the identified 2% data gap (08:14)\\n"
transcript_text
[{"index": 0, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 246.65, "end_time": 247.05, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 1, "text": "How's Safeguard going?", "raw_text": "How's Safeguard going?", "start_time": 247.21, "end_time": 248.49, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 2, "text": "I think it was a handful of fourth floor bodies.", "raw_text": "I think it was a handful of fourth floor bodies.", "start_time": 252.25, "end_time": 255.45, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 3, "text": "So that I came up just general like foundation cleanup.", "raw_text": "So that I came up just general like foundation cleanup.", "start_time": 255.45, "end_time": 262.509, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 4, "text": "Like there's stuff like you get a.", "raw_text": "Like there's stuff like you get a.", "start_time": 264.749, "end_time": 266.829, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 5, "text": "If you're running a workflow in chat and you get a timeout on the workflow or if you leave that screen, the workflow doesn't finish while you're there.", "raw_text": "If you're running a workflow in chat and you get a timeout on the workflow or if you leave that screen, the workflow doesn't finish while you're there.", "start_time": 267.309, "end_time": 275.309, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 6, "text": "Because we don't save the message parts.", "raw_text": "Because we don't save the message parts.", "start_time": 275.709, "end_time": 277.549, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 7, "text": "Yep.", "raw_text": "Yep.", "start_time": 277.789, "end_time": 278.349, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 8, "text": "So we need like we have to pull them like something for resumable screens that are like Reddit, like Redis or something that would help finish it and save those.", "raw_text": "So we need like we have to pull them like something for resumable screens that are like Reddit, like Redis or something that would help finish it and save those.", "start_time": 278.589, "end_time": 289.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 9, "text": "Okay.", "raw_text": "Okay.", "start_time": 289.8, "end_time": 290.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 10, "text": "So it's like a handful of stuff like that.", "raw_text": "So it's like a handful of stuff like that.", "start_time": 290.44, "end_time": 292.28, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 11, "text": "I gotta fix this.", "raw_text": "I gotta fix this.", "start_time": 295.24, "end_time": 296.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 12, "text": "I figured out what happened with that Microsoft login thing.", "raw_text": "I figured out what happened with that Microsoft login thing.", "start_time": 296.68, "end_time": 299.64, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 13, "text": "We have one bad push today.", "raw_text": "We have one bad push today.", "start_time": 300.28, "end_time": 302.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 14, "text": "I should say I had one bad push.", "raw_text": "I should say I had one bad push.", "start_time": 303.4, "end_time": 305.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 15, "text": "I pushed the commit.", "raw_text": "I pushed the commit.", "start_time": 305.56, "end_time": 306.84, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 16, "text": "It's supposed to just be a single commit but it pushed the main from safeguard foundation to main foundation.", "raw_text": "It's supposed to just be a single commit but it pushed the main from safeguard foundation to main foundation.", "start_time": 307.4, "end_time": 314.79, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 17, "text": "Okay.", "raw_text": "Okay.", "start_time": 314.87, "end_time": 315.51, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 18, "text": "Which really like they're not that diverged but the things they are diverged on is Microsoft login and like carrying out some old.", "raw_text": "Which really like they're not that diverged but the things they are diverged on is Microsoft login and like carrying out some old.", "start_time": 315.59, "end_time": 323.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 19, "text": "Some like code.", "raw_text": "Some like code.", "start_time": 325.27, "end_time": 326.11, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 20, "text": "Safeguard doesn't mean.", "raw_text": "Safeguard doesn't mean.", "start_time": 326.11, "end_time": 327.19, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 21, "text": "Yep, I'll fix that.", "raw_text": "Yep, I'll fix that.", "start_time": 327.51, "end_time": 330.23, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 22, "text": "Yeah, that's cool.", "raw_text": "Yeah, that's cool.", "start_time": 331.11, "end_time": 332.31, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 23, "text": "Hayden pushed a bunch of stuff to look at for app builder.", "raw_text": "Hayden pushed a bunch of stuff to look at for app builder.", "start_time": 339.28, "end_time": 342.16, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 24, "text": "I haven't looked at it though.", "raw_text": "I haven't looked at it though.", "start_time": 343.68, "end_time": 344.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 25, "text": "I think he took kind of one of what I was doing with the experimental branch like way back when.", "raw_text": "I think he took kind of one of what I was doing with the experimental branch like way back when.", "start_time": 345.6, "end_time": 353.6, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 26, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 353.84, "end_time": 354.4, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 27, "text": "And he added some more like.", "raw_text": "And he added some more like.", "start_time": 355.04, "end_time": 357.28, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 28, "text": "So mine was like pretty generic.", "raw_text": "So mine was like pretty generic.", "start_time": 358.96, "end_time": 360.4, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 29, "text": "It was like you had this basically a pre compiled typescript file that had like react runtime.", "raw_text": "It was like you had this basically a pre compiled typescript file that had like react runtime.", "start_time": 360.4, "end_time": 370.01, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 30, "text": "Chad, some other stuff, like all the cube stuff was like kind of available to any app that you would build.", "raw_text": "Chad, some other stuff, like all the cube stuff was like kind of available to any app that you would build.", "start_time": 371.61, "end_time": 379.85, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 31, "text": "I think he made like some more like UI UX framework.", "raw_text": "I think he made like some more like UI UX framework.", "start_time": 380.97, "end_time": 385.05, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 32, "text": "So it's like a little bit more opinionated.", "raw_text": "So it's like a little bit more opinionated.", "start_time": 385.93, "end_time": 387.53, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 33, "text": "So yeah, so we could play around with that.", "raw_text": "So yeah, so we could play around with that.", "start_time": 387.53, "end_time": 393.18, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 34, "text": "But I haven't looked at it much outside of him.", "raw_text": "But I haven't looked at it much outside of him.", "start_time": 393.18, "end_time": 400.58, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 35, "text": "One another big thing I'm missing like on the workflow builder side that we ran into is now that they're in the system is like a true versioning for the workflows.", "raw_text": "One another big thing I'm missing like on the workflow builder side that we ran into is now that they're in the system is like a true versioning for the workflows.", "start_time": 402.74, "end_time": 415.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 36, "text": "Like the ability to handle published workflow, work on a draft and then publish it.", "raw_text": "Like the ability to handle published workflow, work on a draft and then publish it.", "start_time": 416.36, "end_time": 423.32, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 37, "text": "Because once a workflow is live, since it's just like we just brought over what they had, it just auto saves.", "raw_text": "Because once a workflow is live, since it's just like we just brought over what they had, it just auto saves.", "start_time": 423.72, "end_time": 430.52, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 38, "text": "So like Green bomb was like messing with stuff and it auto saves his changes and now the workload is broken for everybody.", "raw_text": "So like Green bomb was like messing with stuff and it auto saves his changes and now the workload is broken for everybody.", "start_time": 430.76, "end_time": 437.96, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 39, "text": "So we just need to make sure those are like version.", "raw_text": "So we just need to make sure those are like version.", "start_time": 440.04, "end_time": 443.02, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 40, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 443.58, "end_time": 444.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 41, "text": "But yeah, most of my stuff has just been around workflow builder and getting that working for me.", "raw_text": "But yeah, most of my stuff has just been around workflow builder and getting that working for me.", "start_time": 449.58, "end_time": 454.7, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 42, "text": "Cool.", "raw_text": "Cool.", "start_time": 456.86, "end_time": 457.34, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 43, "text": "I had a note on foundation side look, looking at some of the notes that Kaden put in talking to Sam and Christopher, we'll have to see if Sam wants to look at that QuickBooks MCP and the toggle MCP because I think that should all be working as of like a few releases ago, he mentioned something about how it wasn't.", "raw_text": "I had a note on foundation side look, looking at some of the notes that Kaden put in talking to Sam and Christopher, we'll have to see if Sam wants to look at that QuickBooks MCP and the toggle MCP because I think that should all be working as of like a few releases ago, he mentioned something about how it wasn't.", "start_time": 464.38, "end_time": 493.67, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 44, "text": "The data wasn't good.", "raw_text": "The data wasn't good.", "start_time": 494.47, "end_time": 495.51, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 45, "text": "Since when?", "raw_text": "Since when?", "start_time": 496.47, "end_time": 497.19, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 46, "text": "I'm not.", "raw_text": "I'm not.", "start_time": 498.07, "end_time": 498.55, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 47, "text": "I'm not sure since when.", "raw_text": "I'm not sure since when.", "start_time": 498.55, "end_time": 499.59, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 48, "text": "Okay, so that could be out of date now.", "raw_text": "Okay, so that could be out of date now.", "start_time": 499.83, "end_time": 502.15, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 49, "text": "Yeah, because I added it's actually working.", "raw_text": "Yeah, because I added it's actually working.", "start_time": 502.39, "end_time": 505.67, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 50, "text": "I have a webhook from toggl.", "raw_text": "I have a webhook from toggl.", "start_time": 505.83, "end_time": 507.99, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 51, "text": "What would happen if you deleted something in Toggle?", "raw_text": "What would happen if you deleted something in Toggle?", "start_time": 508.23, "end_time": 510.59, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 52, "text": "Like the MCP would never know about it.", "raw_text": "Like the MCP would never know about it.", "start_time": 510.59, "end_time": 514.79, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 53, "text": "Foundation data would never know about it because the next time you pulled new data it's just, it's not like a delete flag, it's just not there in toggl.", "raw_text": "Foundation data would never know about it because the next time you pulled new data it's just, it's not like a delete flag, it's just not there in toggl.", "start_time": 514.95, "end_time": 522.87, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 54, "text": "Okay, so what would happen is like you deleted a bunch of stuff we would still have that data in.", "raw_text": "Okay, so what would happen is like you deleted a bunch of stuff we would still have that data in.", "start_time": 523.089, "end_time": 529.249, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 55, "text": "So now there's a web hook that anything happens at Toggle, it hits data foundation and it marks things as deleted.", "raw_text": "So now there's a web hook that anything happens at Toggle, it hits data foundation and it marks things as deleted.", "start_time": 531.249, "end_time": 543.329, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 56, "text": "Like so we could see if anything gets deleted and Toggle ever.", "raw_text": "Like so we could see if anything gets deleted and Toggle ever.", "start_time": 543.329, "end_time": 547.169, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 57, "text": "I think the last time I looked at it we were like 2% off from Toggle.", "raw_text": "I think the last time I looked at it we were like 2% off from Toggle.", "start_time": 548.129, "end_time": 553.42, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 58, "text": "I have to track down why, but my assumption is it's all like entity resolution stuff at this point.", "raw_text": "I have to track down why, but my assumption is it's all like entity resolution stuff at this point.", "start_time": 553.58, "end_time": 560.78, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 59, "text": "It's left.", "raw_text": "It's left.", "start_time": 561.5, "end_time": 562.14, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 60, "text": "So we'd have to go through like the active projects and just clean those up.", "raw_text": "So we'd have to go through like the active projects and just clean those up.", "start_time": 563.58, "end_time": 567.02, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 61, "text": "Like say this project's Toggle is this.", "raw_text": "Like say this project's Toggle is this.", "start_time": 567.5, "end_time": 572.54, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 62, "text": "This project's contract is this.", "raw_text": "This project's contract is this.", "start_time": 573.18, "end_time": 575.34, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 63, "text": "See if those get duped up.", "raw_text": "See if those get duped up.", "start_time": 577.36, "end_time": 578.44, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 64, "text": "Like some of the accounts coming through the cube can get duped up or yeah, Rerun.", "raw_text": "Like some of the accounts coming through the cube can get duped up or yeah, Rerun.", "start_time": 578.44, "end_time": 584.24, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 65, "text": "But yeah, I don't think there should be any data issues on QuickBooks.", "raw_text": "But yeah, I don't think there should be any data issues on QuickBooks.", "start_time": 587.76, "end_time": 590.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 66, "text": "I have to see what he's seeing there.", "raw_text": "I have to see what he's seeing there.", "start_time": 591.52, "end_time": 595.12, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 67, "text": "But yeah, I think it was more power related.", "raw_text": "But yeah, I think it was more power related.", "start_time": 595.12, "end_time": 598.88, "speaker_id": 0, "speaker_name": "Justin Wray"}, {"index": 68, "text": "That's all I had.", "raw_text": "That's all I had.", "start_time": 613.05, "end_time": 614.09, "speaker_id": 0, "speaker_name": "Justin Wray"}]
participant_count
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Source Record
bronze_fireflies_meetings
id
01KKAHCFJQ8BDE7F7DMMCPDBMG
title
Foundation Stand up
date
2026-03-17 15:00:00+00:00
duration_minutes
57
duration
57
transcript_url
https://app.fireflies.ai/view/01KKAHCFJQ8BDE7F7DMMCPDBMG
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_N2RjNGFmMmUtMTY4NC00Y2NiLWIyYzctYzA4ODZkNTkzMDEx@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The meeting addressed the development direction of the Foundation platform, emphasizing a dual focus on internal teams and Safeguard as core users. The team agreed to prioritize these user needs to avoid premature expansion to external customers. Key discussions included the imminent delivery of Safeguard’s workflow proof of concept, enhancements needed for the user interface, and adjustments to API for better workflow interaction. Additionally, authentication architecture was discussed, with the decision to delay a central SSO service. The team also outlined a one-tenant-per-instance deployment model for data isolation and strategized on the importance of distinct environments for staging and production purposes. Future enhancements will explore AI integration and a managed AI service model, with pricing strategies assessed.
action_items
"\\n**Mark Murphy**\\nProvide updates on Safeguard progress and foundational platform needs, especially workflow builder improvements (06:30)\\nParticipate in internal use case meetings to align requirements and support platform development (46:30)\\n\\n**Caden Kacmarynski**\\nCheck in with Mark Murphy to coordinate foundation project involvement (01:24)\\nLead polishing and bug-fixing efforts on the Safeguard workflow builder UI for improved user experience, target bandwidth permitting next week (25:20)\\nSchedule and facilitate meetings with internal stakeholders Paul and Sam to define and prioritize internal use cases and automation opportunities (47:30)\\nManage setting up sales demo and Moreland organizational instance to enable demo workflows and assist Reed in ramping up demo content creation (46:20)\\nExplore GitHub workflows and branching strategies for handling multiple client repos or forks efficiently (29:10)\\nInvestigate simplifying deployment models focusing on one tenant per instance while balancing multi-tenant transition and stability needs (17:15)\\n\\n**David Boone**\\nConfirm and verify the authentication redirect changes pushed to production for data platform login (14:10)\\nProvide insights on deployment strategies and environment setup, including staging and production separation for clients like Moreland and Safeguard (20:25)\\nSupport repository and deployment discussions, advocating for forked repository per client approach for better isolation (35:40)\\nCoordinate with Caden and engineering team on maintaining stable demo environments and managing environment branching or branching strategies (33:00)\\n\\n**Unassigned**\\nEvaluate and implement brain trust integration for workflow builder to enhance observability and workflow tracking, particularly for Safeguard (25:25)\\nPlan future enhancements such as agent nodes and open API integrations for expanded automation and cloud deployment (50:30)\\nConsider integration of chat SDKs with Slack and other communication platforms to improve internal and external interactions (52:00)\\nInitiate SOC2 compliance preparations and framework evaluations with relevant external partners to align company-wide and product-specific compliance (48:45)\\n"
transcript_text
[{"index": 0, "text": "Did y' all hear the supposed meteor down there?", "raw_text": "Did y' all hear the supposed meteor down there?", "start_time": 1.44, "end_time": 4.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 1, "text": "Yeah, well, actually, we didn't hear it.", "raw_text": "Yeah, well, actually, we didn't hear it.", "start_time": 5.76, "end_time": 7.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 2, "text": "We heard about it.", "raw_text": "We heard about it.", "start_time": 7.84, "end_time": 8.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 3, "text": "Did you hear it?", "raw_text": "Did you hear it?", "start_time": 8.6, "end_time": 9.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 4, "text": "I heard it.", "raw_text": "I heard it.", "start_time": 10, "end_time": 10.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 5, "text": "Emily was in Brooklyn.", "raw_text": "Emily was in Brooklyn.", "start_time": 12.56, "end_time": 14.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 6, "text": "Her.", "raw_text": "Her.", "start_time": 14.88, "end_time": 15.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "And then I also heard people in Lakewood heard it.", "raw_text": "And then I also heard people in Lakewood heard it.", "start_time": 15.44, "end_time": 18.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 8, "text": "I've heard from like Lakewood and Brooklyn that they heard it.", "raw_text": "I've heard from like Lakewood and Brooklyn that they heard it.", "start_time": 18.2, "end_time": 21.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 9, "text": "Yes, we heard it in Shaker.", "raw_text": "Yes, we heard it in Shaker.", "start_time": 21.52, "end_time": 23.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 10, "text": "It was so loud.", "raw_text": "It was so loud.", "start_time": 24.56, "end_time": 25.64, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 11, "text": "I was like.", "raw_text": "I was like.", "start_time": 25.64, "end_time": 26.16, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 12, "text": "At first I was in my.", "raw_text": "At first I was in my.", "start_time": 27.3, "end_time": 28.06, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 13, "text": "I just closed the door.", "raw_text": "I just closed the door.", "start_time": 28.06, "end_time": 28.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 14, "text": "I left out my office.", "raw_text": "I left out my office.", "start_time": 28.98, "end_time": 29.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 15, "text": "I was like, what the hell was that?", "raw_text": "I was like, what the hell was that?", "start_time": 29.86, "end_time": 31.06, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 16, "text": "And my father in law was like, sound like it was outside.", "raw_text": "And my father in law was like, sound like it was outside.", "start_time": 31.46, "end_time": 35.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 17, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 35.54, "end_time": 36.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 18, "text": "I said, maybe somebody gutters fell again because it's snowing and stuff.", "raw_text": "I said, maybe somebody gutters fell again because it's snowing and stuff.", "start_time": 36.26, "end_time": 40.1, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 19, "text": "And a lot of people.", "raw_text": "And a lot of people.", "start_time": 40.1, "end_time": 40.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 20, "text": "I was like, it was like loud, very loud.", "raw_text": "I was like, it was like loud, very loud.", "start_time": 41.22, "end_time": 44.58, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 21, "text": "And some people said it shook their houses.", "raw_text": "And some people said it shook their houses.", "start_time": 45.62, "end_time": 47.62, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 22, "text": "That's crazy.", "raw_text": "That's crazy.", "start_time": 48.66, "end_time": 49.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 23, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 50.26, "end_time": 50.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "I immediately went to, you know, thinking that the orange man and then really screwed up.", "raw_text": "I immediately went to, you know, thinking that the orange man and then really screwed up.", "start_time": 51.06, "end_time": 58.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 25, "text": "But I was just saying.", "raw_text": "But I was just saying.", "start_time": 58.66, "end_time": 60.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "Right.", "raw_text": "Right.", "start_time": 63.06, "end_time": 63.46, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 27, "text": "That's where my mind immediately went.", "raw_text": "That's where my mind immediately went.", "start_time": 64.18, "end_time": 66.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 28, "text": "But I'm hoping I'm wrong and this isn't a cover up.", "raw_text": "But I'm hoping I'm wrong and this isn't a cover up.", "start_time": 66.42, "end_time": 70.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 29, "text": "My.", "raw_text": "My.", "start_time": 73.86, "end_time": 74.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 30, "text": "My signal.", "raw_text": "My signal.", "start_time": 74.58, "end_time": 75.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 31, "text": "My Internet's bad.", "raw_text": "My Internet's bad.", "start_time": 75.34, "end_time": 76.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 32, "text": "Well, I'm gonna give up on this camera anyways then.", "raw_text": "Well, I'm gonna give up on this camera anyways then.", "start_time": 77.06, "end_time": 79.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 33, "text": "Yeah, cool.", "raw_text": "Yeah, cool.", "start_time": 79.65, "end_time": 80.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 34, "text": "I have a pretty weak signal.", "raw_text": "I have a pretty weak signal.", "start_time": 81.49, "end_time": 82.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 35, "text": "Let me go check with Merc quick.", "raw_text": "Let me go check with Merc quick.", "start_time": 84.21, "end_time": 85.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 36, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 85.81, "end_time": 86.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 37, "text": "Murph's building out the only real foundation project.", "raw_text": "Murph's building out the only real foundation project.", "start_time": 94.61, "end_time": 97.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 38, "text": "So we should probably have him here.", "raw_text": "So we should probably have him here.", "start_time": 97.41, "end_time": 99.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 39, "text": "Absolutely.", "raw_text": "Absolutely.", "start_time": 99.97, "end_time": 100.85, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 40, "text": "We're all faking.", "raw_text": "We're all faking.", "start_time": 103.01, "end_time": 104.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 41, "text": "Someone brought in donuts today.", "raw_text": "Someone brought in donuts today.", "start_time": 145.02, "end_time": 146.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 42, "text": "Johar.", "raw_text": "Johar.", "start_time": 147.1, "end_time": 147.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 43, "text": "And learned.", "raw_text": "And learned.", "start_time": 147.7, "end_time": 148.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 44, "text": "Two people did.", "raw_text": "Two people did.", "start_time": 148.38, "end_time": 149.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 45, "text": "So we got.", "raw_text": "So we got.", "start_time": 149.1, "end_time": 149.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 46, "text": "And I think Rose brought the cookies.", "raw_text": "And I think Rose brought the cookies.", "start_time": 150.54, "end_time": 152.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 47, "text": "Yeah, Rose has been on a bacon spree.", "raw_text": "Yeah, Rose has been on a bacon spree.", "start_time": 154.46, "end_time": 156.62, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 48, "text": "He brought cookies a few weeks back too.", "raw_text": "He brought cookies a few weeks back too.", "start_time": 156.62, "end_time": 158.78, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 49, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 162.49, "end_time": 163.09, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 50, "text": "Maybe.", "raw_text": "Maybe.", "start_time": 163.09, "end_time": 163.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 51, "text": "Or.", "raw_text": "Or.", "start_time": 163.93, "end_time": 164.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 52, "text": "Or his girlfriend is.", "raw_text": "Or his girlfriend is.", "start_time": 164.29, "end_time": 165.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 53, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 165.49, "end_time": 166.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 54, "text": "Someone is.", "raw_text": "Someone is.", "start_time": 166.17, "end_time": 166.89, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 55, "text": "I think he is.", "raw_text": "I think he is.", "start_time": 167.13, "end_time": 168.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 56, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 168.65, "end_time": 184.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 57, "text": "They're saying all the snow at home, it's like the most snow in Wisconsin since like 1886.", "raw_text": "They're saying all the snow at home, it's like the most snow in Wisconsin since like 1886.", "start_time": 208.5, "end_time": 212.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 58, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 212.8, "end_time": 213.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 59, "text": "I told you I had this insane.", "raw_text": "I told you I had this insane.", "start_time": 213.04, "end_time": 215.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "How much snow.", "raw_text": "How much snow.", "start_time": 217.04, "end_time": 218, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 61, "text": "35 inches was the last time they recorded.", "raw_text": "35 inches was the last time they recorded.", "start_time": 219.76, "end_time": 222.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 62, "text": "They don't even know what to do with it.", "raw_text": "They don't even know what to do with it.", "start_time": 224.16, "end_time": 225.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 63, "text": "You can't even plow the roads.", "raw_text": "You can't even plow the roads.", "start_time": 225.64, "end_time": 226.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 64, "text": "The plows are broken.", "raw_text": "The plows are broken.", "start_time": 226.96, "end_time": 227.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 65, "text": "They're in like state of emergency though, because, like, there was a big fire and none of the fire trucks could get there.", "raw_text": "They're in like state of emergency though, because, like, there was a big fire and none of the fire trucks could get there.", "start_time": 227.8, "end_time": 232.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 66, "text": "So it's like not ideal.", "raw_text": "So it's like not ideal.", "start_time": 232.72, "end_time": 234.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 67, "text": "So we were saying you're running the only real foundation project, so we should wait for you to get here.", "raw_text": "So we were saying you're running the only real foundation project, so we should wait for you to get here.", "start_time": 239.13, "end_time": 245.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 68, "text": "But I would say, like, from this, the lens of this meeting, you can say, like, really there's two.", "raw_text": "But I would say, like, from this, the lens of this meeting, you can say, like, really there's two.", "start_time": 246.17, "end_time": 250.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 69, "text": "Two consumers or customers of foundation.", "raw_text": "Two consumers or customers of foundation.", "start_time": 252.33, "end_time": 255.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 70, "text": "One is internal and one is safeguard right now.", "raw_text": "One is internal and one is safeguard right now.", "start_time": 255.37, "end_time": 259.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 71, "text": "And we can look at like what else the market's doing, but that changes so frequently.", "raw_text": "And we can look at like what else the market's doing, but that changes so frequently.", "start_time": 259.93, "end_time": 265.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 72, "text": "So I feel like we should just focus on like internal use cases and what we need for safeguard.", "raw_text": "So I feel like we should just focus on like internal use cases and what we need for safeguard.", "start_time": 265.06, "end_time": 270.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 73, "text": "Drive that through this, through that lens.", "raw_text": "Drive that through this, through that lens.", "start_time": 270.06, "end_time": 273.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 74, "text": "Drive this through that lens.", "raw_text": "Drive this through that lens.", "start_time": 273.62, "end_time": 274.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 75, "text": "So do we want at all think about like, like the Soteras or like Signets or.", "raw_text": "So do we want at all think about like, like the Soteras or like Signets or.", "start_time": 276.26, "end_time": 284.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 76, "text": "We're like, we're building on it because that was one thing that kind of came up yesterday.", "raw_text": "We're like, we're building on it because that was one thing that kind of came up yesterday.", "start_time": 284.06, "end_time": 286.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 77, "text": "Like, I feel like it's total different customer profile, like a safeguard to Sotera.", "raw_text": "Like, I feel like it's total different customer profile, like a safeguard to Sotera.", "start_time": 286.9, "end_time": 291.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 78, "text": "Like, I think that will be services LED deals that can transition into foundation.", "raw_text": "Like, I think that will be services LED deals that can transition into foundation.", "start_time": 291.63, "end_time": 297.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 79, "text": "I don't think there's a foundation that deals.", "raw_text": "I don't think there's a foundation that deals.", "start_time": 297.91, "end_time": 300.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 80, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 300.15, "end_time": 300.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 81, "text": "So don't worry about it.", "raw_text": "So don't worry about it.", "start_time": 300.43, "end_time": 301.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 82, "text": "Anyways, I think what, I mean, I think like, what people will do, like, if we try to educate them and say, like, you need this data platform, most of them aren't there yet and it's hard to get them to like jumpstart into the edges and bottlenecks that they will face in like six months trying to roll out AI.", "raw_text": "Anyways, I think what, I mean, I think like, what people will do, like, if we try to educate them and say, like, you need this data platform, most of them aren't there yet and it's hard to get them to like jumpstart into the edges and bottlenecks that they will face in like six months trying to roll out AI.", "start_time": 301.11, "end_time": 326.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 83, "text": "So like, I don't, I don't think that's like the right place to start most of the time.", "raw_text": "So like, I don't, I don't think that's like the right place to start most of the time.", "start_time": 327.68, "end_time": 332.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 84, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 332.24, "end_time": 332.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 85, "text": "Because it's like, I think like, I.", "raw_text": "Because it's like, I think like, I.", "start_time": 333.04, "end_time": 336.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 86, "text": "It's very clear, like eventually most people will need some sort of context layer to do real things, but it's not a great starting point for, especially for like the Soteros of the world.", "raw_text": "It's very clear, like eventually most people will need some sort of context layer to do real things, but it's not a great starting point for, especially for like the Soteros of the world.", "start_time": 336.32, "end_time": 348.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 87, "text": "Like, we need to do original use cases.", "raw_text": "Like, we need to do original use cases.", "start_time": 349.87, "end_time": 352.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 88, "text": "So like build them out, show them working, and kind of get them used to us being their AI expert.", "raw_text": "So like build them out, show them working, and kind of get them used to us being their AI expert.", "start_time": 354.43, "end_time": 362.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 89, "text": "And then when they hit bottlenecks of data context issues, like, we got something to go, a tool in our toolkit to go to.", "raw_text": "And then when they hit bottlenecks of data context issues, like, we got something to go, a tool in our toolkit to go to.", "start_time": 362.63, "end_time": 372.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 90, "text": "But that all being said, I guess Murph, I'll start with you on safeguard.", "raw_text": "But that all being said, I guess Murph, I'll start with you on safeguard.", "start_time": 373.72, "end_time": 378.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 91, "text": "You want to give everyone kind of an update and like what you think we're gonna need to do to eventually get them happy with the platform.", "raw_text": "You want to give everyone kind of an update and like what you think we're gonna need to do to eventually get them happy with the platform.", "start_time": 380.52, "end_time": 387.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 92, "text": "Yeah, I think on the safeguard side, you talk about like our two, our two foundation instances right now is what we're using internally and what we're using for Safeguard.", "raw_text": "Yeah, I think on the safeguard side, you talk about like our two, our two foundation instances right now is what we're using internally and what we're using for Safeguard.", "start_time": 389.64, "end_time": 400.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 93, "text": "And they're kind of in some sense complete opposites.", "raw_text": "And they're kind of in some sense complete opposites.", "start_time": 400.94, "end_time": 404.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 94, "text": "Like, we're really worried about the data platform internally and the portability of that and being able to use that claw.", "raw_text": "Like, we're really worried about the data platform internally and the portability of that and being able to use that claw.", "start_time": 405.82, "end_time": 412.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 95, "text": "Yeah, that semantic layer.", "raw_text": "Yeah, that semantic layer.", "start_time": 412.38, "end_time": 413.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 96, "text": "Whereas really they're just primarily worried about the workflow builder and being able to create workflows there, use them externally, and then also use those workflow executions to display results in some form, whether that's in our application chat or another portal.", "raw_text": "Whereas really they're just primarily worried about the workflow builder and being able to create workflows there, use them externally, and then also use those workflow executions to display results in some form, whether that's in our application chat or another portal.", "start_time": 413.86, "end_time": 437.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "So from the safeguard standpoint, I think we're in a pretty.", "raw_text": "So from the safeguard standpoint, I think we're in a pretty.", "start_time": 439.3, "end_time": 444.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 98, "text": "We'll be in a pretty good spot within week or two to have their first workflow done.", "raw_text": "We'll be in a pretty good spot within week or two to have their first workflow done.", "start_time": 446.58, "end_time": 451.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 99, "text": "And I'll call it from.", "raw_text": "And I'll call it from.", "start_time": 452.63, "end_time": 453.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 100, "text": "From a proof of concept standpoint, they'll be able to run it programmatically and we'll be able to record the execution results and that'll all be good.", "raw_text": "From a proof of concept standpoint, they'll be able to run it programmatically and we'll be able to record the execution results and that'll all be good.", "start_time": 454.79, "end_time": 468.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 101, "text": "I think there's a lot about the user experience you clean up.", "raw_text": "I think there's a lot about the user experience you clean up.", "start_time": 468.07, "end_time": 471.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 102, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 471.59, "end_time": 472.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 103, "text": "In the workflow builder.", "raw_text": "In the workflow builder.", "start_time": 472.03, "end_time": 473.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 104, "text": "And I think we'll need to do some work on the foundation API side to make sure external applications that are outside of foundation can off with foundation and can also access the execution results and all that type of stuff.", "raw_text": "And I think we'll need to do some work on the foundation API side to make sure external applications that are outside of foundation can off with foundation and can also access the execution results and all that type of stuff.", "start_time": 476.19, "end_time": 498.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 105, "text": "Okay.", "raw_text": "Okay.", "start_time": 499.15, "end_time": 499.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 106, "text": "And that's for the workflow builder still because, like, where does that, like, where does that live?", "raw_text": "And that's for the workflow builder still because, like, where does that, like, where does that live?", "start_time": 499.67, "end_time": 506.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 107, "text": "I got.", "raw_text": "I got.", "start_time": 506.8, "end_time": 507.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 108, "text": "That's a question we got.", "raw_text": "That's a question we got.", "start_time": 507.36, "end_time": 508.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 109, "text": "Have to discuss because they're not using the data platform at all, right.", "raw_text": "Have to discuss because they're not using the data platform at all, right.", "start_time": 508.4, "end_time": 511.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 110, "text": "No.", "raw_text": "No.", "start_time": 512.32, "end_time": 512.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 111, "text": "So then that would have to live in like the foundation.", "raw_text": "So then that would have to live in like the foundation.", "start_time": 513.12, "end_time": 516.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 112, "text": "And so this is Justin on the fun starter call.", "raw_text": "And so this is Justin on the fun starter call.", "start_time": 516.239, "end_time": 518.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 113, "text": "We got into this a little bit yesterday is from like, if you're using the data platform, it makes sense to have the AUTH and the SSO and all that tightly coupled with that, but safeguards are not necessarily using that.", "raw_text": "We got into this a little bit yesterday is from like, if you're using the data platform, it makes sense to have the AUTH and the SSO and all that tightly coupled with that, but safeguards are not necessarily using that.", "start_time": 518.6, "end_time": 533.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 114, "text": "So it almost seems like we need to have.", "raw_text": "So it almost seems like we need to have.", "start_time": 533.99, "end_time": 536.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 115, "text": "We just need a central point for that to live that doesn't completely require the app or the data platform.", "raw_text": "We just need a central point for that to live that doesn't completely require the app or the data platform.", "start_time": 536.95, "end_time": 545.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "I think like, the easy scrappy way to do that is to like shove this all into a model repo and then we're just using feature flags or something like that just to say, well, SaveCare doesn't need data.", "raw_text": "I think like, the easy scrappy way to do that is to like shove this all into a model repo and then we're just using feature flags or something like that just to say, well, SaveCare doesn't need data.", "start_time": 545.67, "end_time": 555.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 117, "text": "Black 1.", "raw_text": "Black 1.", "start_time": 555.51, "end_time": 556.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 118, "text": "Just turn that off and hide it all.", "raw_text": "Just turn that off and hide it all.", "start_time": 556.56, "end_time": 558.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 119, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 558.88, "end_time": 559.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 120, "text": "Or we just.", "raw_text": "Or we just.", "start_time": 559.4, "end_time": 560.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 121, "text": "You just don't use it.", "raw_text": "You just don't use it.", "start_time": 560.8, "end_time": 561.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "Right.", "raw_text": "Right.", "start_time": 561.72, "end_time": 561.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "It's there in the ui, but you're just.", "raw_text": "It's there in the ui, but you're just.", "start_time": 561.88, "end_time": 563.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 124, "text": "You're not configuring any connections or any of that stuff.", "raw_text": "You're not configuring any connections or any of that stuff.", "start_time": 563.44, "end_time": 566.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 125, "text": "It.", "raw_text": "It.", "start_time": 567.28, "end_time": 567.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 126, "text": "But, but right now with how we're doing it, we're starting to get into a weird area where, oh, we need to pull this off into the data platform because we need it because we want to run in cloud and stuff.", "raw_text": "But, but right now with how we're doing it, we're starting to get into a weird area where, oh, we need to pull this off into the data platform because we need it because we want to run in cloud and stuff.", "start_time": 567.92, "end_time": 578.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 127, "text": "It's like, well, if we pull that there, like we're kind of.", "raw_text": "It's like, well, if we pull that there, like we're kind of.", "start_time": 578.36, "end_time": 581.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 128, "text": "Should I have a lot for safeguard?", "raw_text": "Should I have a lot for safeguard?", "start_time": 582.09, "end_time": 583.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 129, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 584.73, "end_time": 585.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 130, "text": "Is there a way or is this stupid to have like a third place where we just like have like a database that we host that we keep track of like everyone and all their connections and how that scaffolds out to like both, like.", "raw_text": "Is there a way or is this stupid to have like a third place where we just like have like a database that we host that we keep track of like everyone and all their connections and how that scaffolds out to like both, like.", "start_time": 586.65, "end_time": 599.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 131, "text": "So I mean, that's adding another thing.", "raw_text": "So I mean, that's adding another thing.", "start_time": 599.33, "end_time": 601.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 132, "text": "But yeah.", "raw_text": "But yeah.", "start_time": 601.25, "end_time": 602.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 133, "text": "Is there a way we just like have a separate hosted SSO that we just, you Point both of them at two in their product, we figure out what we're gonna do.", "raw_text": "Is there a way we just like have a separate hosted SSO that we just, you Point both of them at two in their product, we figure out what we're gonna do.", "start_time": 602.13, "end_time": 609.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 134, "text": "Or is that just like.", "raw_text": "Or is that just like.", "start_time": 609.63, "end_time": 610.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 135, "text": "That's adding more blow?", "raw_text": "That's adding more blow?", "start_time": 610.35, "end_time": 611.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 136, "text": "No, I mean, I think there's a way that we could do that.", "raw_text": "No, I mean, I think there's a way that we could do that.", "start_time": 613.71, "end_time": 616.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 137, "text": "I mean, that gets into like a.", "raw_text": "I mean, that gets into like a.", "start_time": 616.51, "end_time": 618.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 138, "text": "Maybe like a microservice.", "raw_text": "Maybe like a microservice.", "start_time": 618.67, "end_time": 619.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 139, "text": "That's.", "raw_text": "That's.", "start_time": 620.03, "end_time": 620.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 140, "text": "Yes.", "raw_text": "Yes.", "start_time": 620.43, "end_time": 620.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 141, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 620.63, "end_time": 620.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 142, "text": "I guess microservice versus mono repo.", "raw_text": "I guess microservice versus mono repo.", "start_time": 620.99, "end_time": 623.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 143, "text": "I don't know, David.", "raw_text": "I don't know, David.", "start_time": 623.63, "end_time": 624.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 144, "text": "Call it like a control layer, whatever we would call it, but I don't know if we want to get that.", "raw_text": "Call it like a control layer, whatever we would call it, but I don't know if we want to get that.", "start_time": 624.71, "end_time": 631.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "We want to get that complex that quickly.", "raw_text": "We want to get that complex that quickly.", "start_time": 631.31, "end_time": 633.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 146, "text": "I agree.", "raw_text": "I agree.", "start_time": 636.28, "end_time": 636.76, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 147, "text": "We don't necessarily need to rush to that, especially when we don't really have a customer for the data platform outside of Moreland right now, you know, or a customer that would be using both.", "raw_text": "We don't necessarily need to rush to that, especially when we don't really have a customer for the data platform outside of Moreland right now, you know, or a customer that would be using both.", "start_time": 636.84, "end_time": 651.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 148, "text": "And so, like, you know, we have so much other engineering work to do that adding another service is probably not necessary right now.", "raw_text": "And so, like, you know, we have so much other engineering work to do that adding another service is probably not necessary right now.", "start_time": 653, "end_time": 662.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 149, "text": "Yeah, yeah, agreed.", "raw_text": "Yeah, yeah, agreed.", "start_time": 664.57, "end_time": 665.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "I mean, from the safeguard side though, like, the application does work without the data platform right now.", "raw_text": "I mean, from the safeguard side though, like, the application does work without the data platform right now.", "start_time": 667.05, "end_time": 673.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 151, "text": "So, like, as far as I'm concerned for this initial workload for safeguard, like, we don't.", "raw_text": "So, like, as far as I'm concerned for this initial workload for safeguard, like, we don't.", "start_time": 673.21, "end_time": 679.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 152, "text": "We don't need to solve that right now, but it's definitely something we'll want to correct.", "raw_text": "We don't need to solve that right now, but it's definitely something we'll want to correct.", "start_time": 679.69, "end_time": 683.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 153, "text": "You're on like, Maine as well, or.", "raw_text": "You're on like, Maine as well, or.", "start_time": 684.01, "end_time": 686.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 154, "text": "Yeah, I'm on main.", "raw_text": "Yeah, I'm on main.", "start_time": 686.05, "end_time": 686.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 155, "text": "I thought.", "raw_text": "I thought.", "start_time": 687.65, "end_time": 688.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 156, "text": "Didn't we move the author?", "raw_text": "Didn't we move the author?", "start_time": 688.01, "end_time": 689.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 157, "text": "No,", "raw_text": "No,", "start_time": 689.49, "end_time": 689.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 158, "text": "we basically replicated the auth", "raw_text": "we basically replicated the auth", "start_time": 692.13, "end_time": 694.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 159, "text": "so", "raw_text": "so", "start_time": 695.97, "end_time": 696.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 160, "text": "you can log into.", "raw_text": "you can log into.", "start_time": 696.25, "end_time": 697.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 161, "text": "Go ahead.", "raw_text": "Go ahead.", "start_time": 697.81, "end_time": 698.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 162, "text": "Oh, no, you go ahead.", "raw_text": "Oh, no, you go ahead.", "start_time": 699.09, "end_time": 700.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 163, "text": "Sorry.", "raw_text": "Sorry.", "start_time": 700.17, "end_time": 700.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 164, "text": "Yeah, pretty much like it connects to the same DB is better off.", "raw_text": "Yeah, pretty much like it connects to the same DB is better off.", "start_time": 701.25, "end_time": 705.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 165, "text": "You can use the same credentials and it treats foundation front end as like an SSO provider.", "raw_text": "You can use the same credentials and it treats foundation front end as like an SSO provider.", "start_time": 705.57, "end_time": 712.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 166, "text": "So like it'll let you log in there.", "raw_text": "So like it'll let you log in there.", "start_time": 712.78, "end_time": 714.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 167, "text": "So you can use like Microsoft credentials and be able to auth back to the data platform.", "raw_text": "So you can use like Microsoft credentials and be able to auth back to the data platform.", "start_time": 714.22, "end_time": 719.74, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 168, "text": "So it's like sign in via foundation or put in your username or password.", "raw_text": "So it's like sign in via foundation or put in your username or password.", "start_time": 720.06, "end_time": 724.46, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 169, "text": "And that's on the data platform side, right?", "raw_text": "And that's on the data platform side, right?", "start_time": 727.74, "end_time": 730.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 170, "text": "That's on a data platform side.", "raw_text": "That's on a data platform side.", "start_time": 730.14, "end_time": 731.54, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 171, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 731.54, "end_time": 732.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 172, "text": "But there's still the normal auth we had in on the.", "raw_text": "But there's still the normal auth we had in on the.", "start_time": 732.7, "end_time": 734.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 173, "text": "Is that pointing there?", "raw_text": "Is that pointing there?", "start_time": 736.14, "end_time": 738.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 174, "text": "Are those updates pointing back to the application db?", "raw_text": "Are those updates pointing back to the application db?", "start_time": 738.22, "end_time": 741.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 175, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 742.14, "end_time": 742.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 176, "text": "Or is that funneled?", "raw_text": "Or is that funneled?", "start_time": 742.34, "end_time": 743.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "Okay, so there's really no way to sign up.", "raw_text": "Okay, so there's really no way to sign up.", "start_time": 743.46, "end_time": 747.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 178, "text": "I don't think we ever really implemented sign up, so.", "raw_text": "I don't think we ever really implemented sign up, so.", "start_time": 747.42, "end_time": 750.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 179, "text": "Yeah, but.", "raw_text": "Yeah, but.", "start_time": 751.1, "end_time": 752.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 180, "text": "But yes.", "raw_text": "But yes.", "start_time": 752.58, "end_time": 753.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 181, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 755.26, "end_time": 755.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 182, "text": "Like for Safeguard, right now we're pretty much saying we're just going to create your credentials and give them to you and that's fine.", "raw_text": "Like for Safeguard, right now we're pretty much saying we're just going to create your credentials and give them to you and that's fine.", "start_time": 756.06, "end_time": 762.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 183, "text": "Yeah, sorry.", "raw_text": "Yeah, sorry.", "start_time": 762.86, "end_time": 764.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 184, "text": "So if you're running only the front end, though, it still has the better off in there too, as well.", "raw_text": "So if you're running only the front end, though, it still has the better off in there too, as well.", "start_time": 765.42, "end_time": 772.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 185, "text": "Yep.", "raw_text": "Yep.", "start_time": 772.59, "end_time": 773.23, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 186, "text": "So we basically duplicate it.", "raw_text": "So we basically duplicate it.", "start_time": 773.47, "end_time": 775.23, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 187, "text": "Yeah, just redundant, which is good.", "raw_text": "Yeah, just redundant, which is good.", "start_time": 775.63, "end_time": 778.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 188, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 779.15, "end_time": 779.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 189, "text": "But yeah, so now the data platform can live on its own because before it had to have the front end.", "raw_text": "But yeah, so now the data platform can live on its own because before it had to have the front end.", "start_time": 780.75, "end_time": 786.59, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 190, "text": "Now it can be by itself as long as you're not trying to use Microsoft for off.", "raw_text": "Now it can be by itself as long as you're not trying to use Microsoft for off.", "start_time": 787.15, "end_time": 793.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 191, "text": "Because we didn't implement a better off equivalent on the back end.", "raw_text": "Because we didn't implement a better off equivalent on the back end.", "start_time": 793.96, "end_time": 797.88, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 192, "text": "We just replicated email and password off from better auth into Python basically.", "raw_text": "We just replicated email and password off from better auth into Python basically.", "start_time": 798.12, "end_time": 805.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 193, "text": "So we use.", "raw_text": "So we use.", "start_time": 806.68, "end_time": 808.76, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 194, "text": "I mean there's a better off for Python, not actually better off, but there's an equivalent.", "raw_text": "I mean there's a better off for Python, not actually better off, but there's an equivalent.", "start_time": 808.92, "end_time": 813.08, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 195, "text": "We use that.", "raw_text": "We use that.", "start_time": 813.08, "end_time": 813.88, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 196, "text": "And then we offered OAuth with Microsoft and Google we could do that as a separate workflow.", "raw_text": "And then we offered OAuth with Microsoft and Google we could do that as a separate workflow.", "start_time": 813.88, "end_time": 819.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 197, "text": "But again that starts to get into the territory of.", "raw_text": "But again that starts to get into the territory of.", "start_time": 820.04, "end_time": 822.6, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 198, "text": "All right, do we want to just have foundation off be its own like service that either of these, you know, products could be using.", "raw_text": "All right, do we want to just have foundation off be its own like service that either of these, you know, products could be using.", "start_time": 822.97, "end_time": 830.41, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 199, "text": "And in prod, our MCP is still redirecting to the front end version.", "raw_text": "And in prod, our MCP is still redirecting to the front end version.", "start_time": 832.65, "end_time": 838.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 200, "text": "No, it.", "raw_text": "No, it.", "start_time": 838.889, "end_time": 840.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 201, "text": "Oh, and prod, I think we pushed to prod already so it should redirect to the data platform for authentic.", "raw_text": "Oh, and prod, I think we pushed to prod already so it should redirect to the data platform for authentic.", "start_time": 840.09, "end_time": 848.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 202, "text": "I think I still have like signed in through Microsoft available on that though.", "raw_text": "I think I still have like signed in through Microsoft available on that though.", "start_time": 850.66, "end_time": 854.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 203, "text": "Oh, maybe there's a cash or something.", "raw_text": "Oh, maybe there's a cash or something.", "start_time": 855.38, "end_time": 858.9, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 204, "text": "Yeah, but it.", "raw_text": "Yeah, but it.", "start_time": 859.62, "end_time": 860.9, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 205, "text": "I think, I think we pushed the product.", "raw_text": "I think, I think we pushed the product.", "start_time": 861.06, "end_time": 862.66, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 206, "text": "I'm pretty sure.", "raw_text": "I'm pretty sure.", "start_time": 862.66, "end_time": 863.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 207, "text": "But we can double check that.", "raw_text": "But we can double check that.", "start_time": 863.22, "end_time": 864.5, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 208, "text": "Okay, so I think we're in a decent spot there then long term we should figure out y. Yeah, long term I'd like that to be cleaner.", "raw_text": "Okay, so I think we're in a decent spot there then long term we should figure out y. Yeah, long term I'd like that to be cleaner.", "start_time": 865.62, "end_time": 881.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 209, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 881.07, "end_time": 881.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 210, "text": "Clean.", "raw_text": "Clean.", "start_time": 881.43, "end_time": 881.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 211, "text": "Clean it up a bit.", "raw_text": "Clean it up a bit.", "start_time": 881.83, "end_time": 882.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 212, "text": "But from a, from a safeguard standpoint, I would like to get that workflow builder just a little more polished and intuitive to use.", "raw_text": "But from a, from a safeguard standpoint, I would like to get that workflow builder just a little more polished and intuitive to use.", "start_time": 885.55, "end_time": 899.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 213, "text": "Not necessarily from a business analyst standpoint, but even just like for us to use.", "raw_text": "Not necessarily from a business analyst standpoint, but even just like for us to use.", "start_time": 901.05, "end_time": 906.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 214, "text": "Yeah, from the ui.", "raw_text": "Yeah, from the ui.", "start_time": 906.73, "end_time": 908.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 215, "text": "Yeah, from a UI standpoint.", "raw_text": "Yeah, from a UI standpoint.", "start_time": 908.25, "end_time": 910.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 216, "text": "Like it's.", "raw_text": "Like it's.", "start_time": 910.09, "end_time": 910.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 217, "text": "There's still like a couple bugs and it's a little clunky.", "raw_text": "There's still like a couple bugs and it's a little clunky.", "start_time": 910.89, "end_time": 913.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 218, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 913.61, "end_time": 914.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 219, "text": "At minimum you got to be able to auto detect multiple variables in the thing that was like.", "raw_text": "At minimum you got to be able to auto detect multiple variables in the thing that was like.", "start_time": 914.25, "end_time": 918.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 220, "text": "I tried to like anything was like tough.", "raw_text": "I tried to like anything was like tough.", "start_time": 918.65, "end_time": 920.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 221, "text": "But that guy look.", "raw_text": "But that guy look.", "start_time": 920.97, "end_time": 921.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 222, "text": "Yeah, like it, like it works but that could be improved a little bit.", "raw_text": "Yeah, like it, like it works but that could be improved a little bit.", "start_time": 923.13, "end_time": 927.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 223, "text": "How do we feel about.", "raw_text": "How do we feel about.", "start_time": 927.78, "end_time": 929.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 224, "text": "I have bandwidth next week for that.", "raw_text": "I have bandwidth next week for that.", "start_time": 930.26, "end_time": 932.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 225, "text": "I feel like we're flipped flopping a lot though.", "raw_text": "I feel like we're flipped flopping a lot though.", "start_time": 932.1, "end_time": 934.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 226, "text": "But I do feel like with open flow we could almost go back to like one node instructions and APIs.", "raw_text": "But I do feel like with open flow we could almost go back to like one node instructions and APIs.", "start_time": 934.26, "end_time": 945.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 227, "text": "We just spun off like a little open call DPS.", "raw_text": "We just spun off like a little open call DPS.", "start_time": 947.7, "end_time": 951.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 228, "text": "That's probably a separate conversation.", "raw_text": "That's probably a separate conversation.", "start_time": 953.87, "end_time": 955.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 229, "text": "Yeah, probably.", "raw_text": "Yeah, probably.", "start_time": 955.71, "end_time": 956.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 230, "text": "We're too deep now.", "raw_text": "We're too deep now.", "start_time": 957.23, "end_time": 958.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 231, "text": "Yeah, I do feel like that would be sweet offering though.", "raw_text": "Yeah, I do feel like that would be sweet offering though.", "start_time": 958.67, "end_time": 962.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 232, "text": "Like, I mean we could have that as a.", "raw_text": "Like, I mean we could have that as a.", "start_time": 962.75, "end_time": 964.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 233, "text": "As a node.", "raw_text": "As a node.", "start_time": 964.83, "end_time": 965.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 234, "text": "Yeah, as a node.", "raw_text": "Yeah, as a node.", "start_time": 965.71, "end_time": 966.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 235, "text": "Like.", "raw_text": "Like.", "start_time": 966.59, "end_time": 966.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "Oh, you know, even gonna.", "raw_text": "Oh, you know, even gonna.", "start_time": 966.87, "end_time": 968.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 237, "text": "You can.", "raw_text": "You can.", "start_time": 968.91, "end_time": 969.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 238, "text": "This is almost like danger.", "raw_text": "This is almost like danger.", "start_time": 969.35, "end_time": 970.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 239, "text": "Did you make that other agent node no, not yet.", "raw_text": "Did you make that other agent node no, not yet.", "start_time": 970.67, "end_time": 973.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 240, "text": "You could just make it open claw probably.", "raw_text": "You could just make it open claw probably.", "start_time": 973.39, "end_time": 975.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 241, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 976.03, "end_time": 976.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 242, "text": "As the harness that just runs it.", "raw_text": "As the harness that just runs it.", "start_time": 977.16, "end_time": 979, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 243, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 980.04, "end_time": 980.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 244, "text": "I think that's a separate body of waters.", "raw_text": "I think that's a separate body of waters.", "start_time": 980.4, "end_time": 982.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 245, "text": "So that would be like agent node.", "raw_text": "So that would be like agent node.", "start_time": 982.92, "end_time": 984.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 246, "text": "I think we should copy like the heartbeat or the pulse that they have there for like how they do their cron jobs.", "raw_text": "I think we should copy like the heartbeat or the pulse that they have there for like how they do their cron jobs.", "start_time": 985.16, "end_time": 990.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 247, "text": "The other discussion I want to go through today is how we're doing our deployments because it feels like we've come to a consensus that most people and most enterprise clients are going to want to bring this to their cloud.", "raw_text": "The other discussion I want to go through today is how we're doing our deployments because it feels like we've come to a consensus that most people and most enterprise clients are going to want to bring this to their cloud.", "start_time": 991.72, "end_time": 1006.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 248, "text": "Well, at a minimum they're going to want a separate instance so they know their stuff's not.", "raw_text": "Well, at a minimum they're going to want a separate instance so they know their stuff's not.", "start_time": 1007.61, "end_time": 1013.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 249, "text": "Yeah, I would, I definitely think no matter what we should do like one tenant, for instance.", "raw_text": "Yeah, I would, I definitely think no matter what we should do like one tenant, for instance.", "start_time": 1013.37, "end_time": 1019.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "Okay.", "raw_text": "Okay.", "start_time": 1019.93, "end_time": 1020.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 251, "text": "And, and I think if that, if that's the case and we're consensus there, we could simplify the code base a decent bit.", "raw_text": "And, and I think if that, if that's the case and we're consensus there, we could simplify the code base a decent bit.", "start_time": 1020.81, "end_time": 1030.339, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 252, "text": "So I, I would like to do that.", "raw_text": "So I, I would like to do that.", "start_time": 1031.699, "end_time": 1033.459, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 253, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1035.059, "end_time": 1035.619, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 254, "text": "Because we, I'd love that because like we have some of the org stuff in there because we weren't quite sure where that was going to go yet.", "raw_text": "Because we, I'd love that because like we have some of the org stuff in there because we weren't quite sure where that was going to go yet.", "start_time": 1036.899, "end_time": 1044.179, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 255, "text": "So I think that'd be good to tackle.", "raw_text": "So I think that'd be good to tackle.", "start_time": 1045.699, "end_time": 1047.619, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1048.499, "end_time": 1048.899, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 257, "text": "Like even when you run through, So I ran through cube cubes, like self service thing, the cloud and Palantir and so you get like the front end where you register and then you like basically say like whether you want to host on AWS or Azure or like some, I think Palantir might have like Google Cloud as well.", "raw_text": "Like even when you run through, So I ran through cube cubes, like self service thing, the cloud and Palantir and so you get like the front end where you register and then you like basically say like whether you want to host on AWS or Azure or like some, I think Palantir might have like Google Cloud as well.", "start_time": 1048.899, "end_time": 1071.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 258, "text": "And then like it literally seems like it builds its own instance of your stuff on those clouds and then you get like a new URL.", "raw_text": "And then like it literally seems like it builds its own instance of your stuff on those clouds and then you get like a new URL.", "start_time": 1072.11, "end_time": 1080.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 259, "text": "I don't know if they're doing any sharding between those instances, but like.", "raw_text": "I don't know if they're doing any sharding between those instances, but like.", "start_time": 1082.01, "end_time": 1085.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 260, "text": "Yeah, that's, I, I, I feel like even those are like kind of one tenant per.", "raw_text": "Yeah, that's, I, I, I feel like even those are like kind of one tenant per.", "start_time": 1086.25, "end_time": 1092.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 261, "text": "We could easily.", "raw_text": "We could easily.", "start_time": 1093.93, "end_time": 1094.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 262, "text": "Sorry, go ahead.", "raw_text": "Sorry, go ahead.", "start_time": 1095.61, "end_time": 1096.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 263, "text": "No, yeah, I mean, I think like if we're, if we can keep people on Vercel, like we can do that.", "raw_text": "No, yeah, I mean, I think like if we're, if we can keep people on Vercel, like we can do that.", "start_time": 1096.37, "end_time": 1105.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 264, "text": "Sure.", "raw_text": "Sure.", "start_time": 1106.16, "end_time": 1106.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 265, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1106.72, "end_time": 1107.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 266, "text": "I went, I went through the process of standing up safeguard on the new version, the latest version yesterday and so I had, I was just working with Claude code to walk through each step of that process and then once I got the kinks, I told I had to write a script to do that in like one shot.", "raw_text": "I went, I went through the process of standing up safeguard on the new version, the latest version yesterday and so I had, I was just working with Claude code to walk through each step of that process and then once I got the kinks, I told I had to write a script to do that in like one shot.", "start_time": 1109.84, "end_time": 1127.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 267, "text": "There's like one or two manual steps we still have to do, but it, I think we could eventually.", "raw_text": "There's like one or two manual steps we still have to do, but it, I think we could eventually.", "start_time": 1128, "end_time": 1133.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 268, "text": "You could spin up instances like that.", "raw_text": "You could spin up instances like that.", "start_time": 1135.29, "end_time": 1137.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 269, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1137.37, "end_time": 1137.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 270, "text": "Almost do like a gui.", "raw_text": "Almost do like a gui.", "start_time": 1137.77, "end_time": 1138.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 271, "text": "That'd be pretty.", "raw_text": "That'd be pretty.", "start_time": 1138.89, "end_time": 1139.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 272, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1139.57, "end_time": 1139.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 273, "text": "And it's quick too.", "raw_text": "And it's quick too.", "start_time": 1139.85, "end_time": 1141.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 274, "text": "So then, I mean this is a future problem.", "raw_text": "So then, I mean this is a future problem.", "start_time": 1141.93, "end_time": 1143.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 275, "text": "But Palantir talked about it a lot because that's how they scaled.", "raw_text": "But Palantir talked about it a lot because that's how they scaled.", "start_time": 1143.77, "end_time": 1147.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 276, "text": "And then like they're getting.", "raw_text": "And then like they're getting.", "start_time": 1148.17, "end_time": 1149.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "They got into like maintenance nightmares.", "raw_text": "They got into like maintenance nightmares.", "start_time": 1149.49, "end_time": 1152.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 278, "text": "But I feel like that's.", "raw_text": "But I feel like that's.", "start_time": 1153.45, "end_time": 1154.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 279, "text": "We don't.", "raw_text": "We don't.", "start_time": 1154.57, "end_time": 1154.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 280, "text": "That's a future problem for us.", "raw_text": "That's a future problem for us.", "start_time": 1154.97, "end_time": 1156.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 281, "text": "Yes.", "raw_text": "Yes.", "start_time": 1156.57, "end_time": 1157.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 282, "text": "Go New Year.", "raw_text": "Go New Year.", "start_time": 1157.13, "end_time": 1158.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 283, "text": "I agree.", "raw_text": "I agree.", "start_time": 1159.09, "end_time": 1159.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 284, "text": "I didn't develop this whole thing called Apollo that was like.", "raw_text": "I didn't develop this whole thing called Apollo that was like.", "start_time": 1159.97, "end_time": 1163.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 285, "text": "Because they're, they're.", "raw_text": "Because they're, they're.", "start_time": 1164.05, "end_time": 1165.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 286, "text": "I mean anybody in this space, they're going to have like platforms that are like highly customized instances everywhere, but then you have like common code you want to push out to them.", "raw_text": "I mean anybody in this space, they're going to have like platforms that are like highly customized instances everywhere, but then you have like common code you want to push out to them.", "start_time": 1165.73, "end_time": 1175.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 287, "text": "Yep.", "raw_text": "Yep.", "start_time": 1175.33, "end_time": 1175.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 288, "text": "But we'll figure that out later.", "raw_text": "But we'll figure that out later.", "start_time": 1176.61, "end_time": 1178.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1178.77, "end_time": 1179.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "So workflow builder enhancements, one tenant per instance cleanup and then we do top.", "raw_text": "So workflow builder enhancements, one tenant per instance cleanup and then we do top.", "start_time": 1182.13, "end_time": 1187.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "And we need a staging.", "raw_text": "And we need a staging.", "start_time": 1187.73, "end_time": 1189.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 292, "text": "Yeah, we do need a staging internally.", "raw_text": "Yeah, we do need a staging internally.", "start_time": 1189.81, "end_time": 1192.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 293, "text": "So we'll stop.", "raw_text": "So we'll stop.", "start_time": 1193.01, "end_time": 1196.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 294, "text": "Go ahead.", "raw_text": "Go ahead.", "start_time": 1196.65, "end_time": 1197.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 295, "text": "What do we do?", "raw_text": "What do we do?", "start_time": 1197.05, "end_time": 1197.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 296, "text": "We need that for like demos or I would say like if like stability.", "raw_text": "We need that for like demos or I would say like if like stability.", "start_time": 1197.85, "end_time": 1202.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 297, "text": "You seem to break it a lot.", "raw_text": "You seem to break it a lot.", "start_time": 1203.17, "end_time": 1204.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 298, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1204.49, "end_time": 1204.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 299, "text": "Paul and Sam, like Sam's actually starting to build some pretty sweet shit cowork using rmcp.", "raw_text": "Paul and Sam, like Sam's actually starting to build some pretty sweet shit cowork using rmcp.", "start_time": 1204.85, "end_time": 1210.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 300, "text": "Yep.", "raw_text": "Yep.", "start_time": 1210.21, "end_time": 1210.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 301, "text": "And we just like broke it for like a week.", "raw_text": "And we just like broke it for like a week.", "start_time": 1211.01, "end_time": 1213.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 302, "text": "And demos and content and just general stability.", "raw_text": "And demos and content and just general stability.", "start_time": 1216.2, "end_time": 1219.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 303, "text": "So I would argue then we need to just spin up a Moreland instance", "raw_text": "So I would argue then we need to just spin up a Moreland instance", "start_time": 1219.48, "end_time": 1224.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 304, "text": "separate from.", "raw_text": "separate from.", "start_time": 1226.52, "end_time": 1227.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 305, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1227.56, "end_time": 1228.04, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 306, "text": "Like the platform.", "raw_text": "Like the platform.", "start_time": 1229.4, "end_time": 1230.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 307, "text": "What would that do?", "raw_text": "What would that do?", "start_time": 1230.92, "end_time": 1231.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 308, "text": "What would the platform one be for then?", "raw_text": "What would the platform one be for then?", "start_time": 1231.92, "end_time": 1233.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 309, "text": "Just dev.", "raw_text": "Just dev.", "start_time": 1234.36, "end_time": 1235.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 310, "text": "Oh, dev.", "raw_text": "Oh, dev.", "start_time": 1235.88, "end_time": 1236.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 311, "text": "Like just dabbing on it.", "raw_text": "Like just dabbing on it.", "start_time": 1236.84, "end_time": 1238.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1238.12, "end_time": 1238.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 313, "text": "So this would be.", "raw_text": "So this would be.", "start_time": 1238.44, "end_time": 1239.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "Can you explain why you want a separate repo?", "raw_text": "Can you explain why you want a separate repo?", "start_time": 1239.79, "end_time": 1241.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "Or you're saying just like new VMs, new Versal project or like what.", "raw_text": "Or you're saying just like new VMs, new Versal project or like what.", "start_time": 1241.83, "end_time": 1245.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 316, "text": "Where's your line of separation?", "raw_text": "Where's your line of separation?", "start_time": 1246.43, "end_time": 1247.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 317, "text": "Well, even then, like, so we've got.", "raw_text": "Well, even then, like, so we've got.", "start_time": 1247.87, "end_time": 1250.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 318, "text": "What is it?", "raw_text": "What is it?", "start_time": 1250.03, "end_time": 1250.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 319, "text": "Data.moreland.com and then.", "raw_text": "Data.moreland.com and then.", "start_time": 1250.55, "end_time": 1252.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 320, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1252.67, "end_time": 1253.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 321, "text": "Would those be like production demo things and then we'd have a separate Moreland one?", "raw_text": "Would those be like production demo things and then we'd have a separate Moreland one?", "start_time": 1254.27, "end_time": 1261.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 322, "text": "Yeah, that's actually.", "raw_text": "Yeah, that's actually.", "start_time": 1261.95, "end_time": 1262.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 323, "text": "Yeah, I'd like to have.", "raw_text": "Yeah, I'd like to have.", "start_time": 1262.83, "end_time": 1263.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "We can have a demo Org, a Moreland use or.", "raw_text": "We can have a demo Org, a Moreland use or.", "start_time": 1263.71, "end_time": 1266.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 325, "text": "And then a dev.", "raw_text": "And then a dev.", "start_time": 1266.6, "end_time": 1267.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 326, "text": "Like we actually need all three of those.", "raw_text": "Like we actually need all three of those.", "start_time": 1267.4, "end_time": 1269.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 327, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1275.48, "end_time": 1275.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 328, "text": "Just trying to think what would be the best way to manage that.", "raw_text": "Just trying to think what would be the best way to manage that.", "start_time": 1275.88, "end_time": 1279, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 329, "text": "Especially if we get rid of all the multi tenant stuff.", "raw_text": "Especially if we get rid of all the multi tenant stuff.", "start_time": 1279.08, "end_time": 1281.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 330, "text": "Because we actually use that right now in the demo.", "raw_text": "Because we actually use that right now in the demo.", "start_time": 1281.52, "end_time": 1285, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 331, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1285, "end_time": 1285.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 1286.2, "end_time": 1287, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 333, "text": "Well, there could be some fun ways to get around that.", "raw_text": "Well, there could be some fun ways to get around that.", "start_time": 1287.16, "end_time": 1292.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "I do think there's an argument to be made that we should keep it all the same so that when we break stuff we fix it.", "raw_text": "I do think there's an argument to be made that we should keep it all the same so that when we break stuff we fix it.", "start_time": 1293.17, "end_time": 1298.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 335, "text": "Well, that's kind of where my first thought was.", "raw_text": "Well, that's kind of where my first thought was.", "start_time": 1298.69, "end_time": 1301.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "Me and David talked about it.", "raw_text": "Me and David talked about it.", "start_time": 1301.73, "end_time": 1303.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 337, "text": "We have two VMs we're using right now and we had a third VM we were originally using.", "raw_text": "We have two VMs we're using right now and we had a third VM we were originally using.", "start_time": 1303.25, "end_time": 1307.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 338, "text": "So first I had to get my local dev caught up and the next thing I was going to do was some cube Stuff and then I was going to take the original VM and then just have that as a staging that we can use.", "raw_text": "So first I had to get my local dev caught up and the next thing I was going to do was some cube Stuff and then I was going to take the original VM and then just have that as a staging that we can use.", "start_time": 1307.81, "end_time": 1319.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 339, "text": "And so we had that staging environment and then.", "raw_text": "And so we had that staging environment and then.", "start_time": 1319.41, "end_time": 1322.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "But now if we don't do the multi tenant anymore we will need like a more tenant feature flag or debt.", "raw_text": "But now if we don't do the multi tenant anymore we will need like a more tenant feature flag or debt.", "start_time": 1322.49, "end_time": 1330.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 341, "text": "Clean up the code and probably clean up the code as much as we want.", "raw_text": "Clean up the code and probably clean up the code as much as we want.", "start_time": 1330.09, "end_time": 1337.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 342, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1338.01, "end_time": 1338.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 343, "text": "So like right now the way you can get a staging environment is you.", "raw_text": "So like right now the way you can get a staging environment is you.", "start_time": 1339.93, "end_time": 1346.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "You can push up a PR and that spins up like a.", "raw_text": "You can push up a PR and that spins up like a.", "start_time": 1346.41, "end_time": 1349.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 345, "text": "A preview database and a.", "raw_text": "A preview database and a.", "start_time": 1349.88, "end_time": 1351.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 346, "text": "And a preview virtual link.", "raw_text": "And a preview virtual link.", "start_time": 1351.64, "end_time": 1353.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 347, "text": "Not on the platform side though.", "raw_text": "Not on the platform side though.", "start_time": 1353.4, "end_time": 1355, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 348, "text": "But not on the data platform.", "raw_text": "But not on the data platform.", "start_time": 1355, "end_time": 1356.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 349, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1356.36, "end_time": 1356.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 350, "text": "So just on the app side I mean we've got.", "raw_text": "So just on the app side I mean we've got.", "start_time": 1357.56, "end_time": 1360.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 351, "text": "So right now we have like one thing that manages like sales slash demo and oil and internal use and I'll add a third one there just like death.", "raw_text": "So right now we have like one thing that manages like sales slash demo and oil and internal use and I'll add a third one there just like death.", "start_time": 1361.08, "end_time": 1369.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 352, "text": "Like just the product development.", "raw_text": "Like just the product development.", "start_time": 1371.32, "end_time": 1373.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 353, "text": "Platform development.", "raw_text": "Platform development.", "start_time": 1373.56, "end_time": 1374.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 354, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1374.68, "end_time": 1375.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "Are we counting safeguard on this yet?", "raw_text": "Are we counting safeguard on this yet?", "start_time": 1375.34, "end_time": 1376.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 356, "text": "Yeah, but they're.", "raw_text": "Yeah, but they're.", "start_time": 1378.62, "end_time": 1379.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 357, "text": "Yeah, they're separate.", "raw_text": "Yeah, they're separate.", "start_time": 1379.34, "end_time": 1380.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 358, "text": "So we just want to do a new environment technically Hinkley has an instance too.", "raw_text": "So we just want to do a new environment technically Hinkley has an instance too.", "start_time": 1381.26, "end_time": 1385.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 359, "text": "It's a much older one but they technically have it too.", "raw_text": "It's a much older one but they technically have it too.", "start_time": 1385.66, "end_time": 1388.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 360, "text": "So if we were demoing.", "raw_text": "So if we were demoing.", "start_time": 1395.34, "end_time": 1396.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 361, "text": "You could demo off of.", "raw_text": "You could demo off of.", "start_time": 1401.19, "end_time": 1402.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "Well yeah, I do think we need like a stable demo probably too.", "raw_text": "Well yeah, I do think we need like a stable demo probably too.", "start_time": 1402.71, "end_time": 1406.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "And you might need multiple.", "raw_text": "And you might need multiple.", "start_time": 1410.15, "end_time": 1411.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "If we had different orgs like demo or one two.", "raw_text": "If we had different orgs like demo or one two.", "start_time": 1411.67, "end_time": 1419.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 365, "text": "Yeah, the demo orgs might need multiple or we could do some hard coded tricks to not make our life miserable.", "raw_text": "Yeah, the demo orgs might need multiple or we could do some hard coded tricks to not make our life miserable.", "start_time": 1426.88, "end_time": 1434.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 366, "text": "The other side of that is just for now to keep it simple, we keep the multi tenant in there but like when you spin off a safeguard or you just create one organ there for that, that's the end of it.", "raw_text": "The other side of that is just for now to keep it simple, we keep the multi tenant in there but like when you spin off a safeguard or you just create one organ there for that, that's the end of it.", "start_time": 1435.2, "end_time": 1446.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "Does it cost you like headaches Otherwise I probably have to dig into the code more.", "raw_text": "Does it cost you like headaches Otherwise I probably have to dig into the code more.", "start_time": 1448.24, "end_time": 1455.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 368, "text": "Question mark.", "raw_text": "Question mark.", "start_time": 1456.81, "end_time": 1457.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 369, "text": "But then the only thing that would still cause an issue with is just like stability versus like fighting development speed with like stability.", "raw_text": "But then the only thing that would still cause an issue with is just like stability versus like fighting development speed with like stability.", "start_time": 1459.29, "end_time": 1471.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 370, "text": "Yeah, Yeah.", "raw_text": "Yeah, Yeah.", "start_time": 1473.45, "end_time": 1481.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 371, "text": "On the workflow builder, is that mostly UI or do you also mention something about like how they off to it that needs to be improved.", "raw_text": "On the workflow builder, is that mostly UI or do you also mention something about like how they off to it that needs to be improved.", "start_time": 1484.66, "end_time": 1491.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "It'll.", "raw_text": "It'll.", "start_time": 1493.78, "end_time": 1494.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 373, "text": "I think it'll be out of the gate.", "raw_text": "I think it'll be out of the gate.", "start_time": 1494.3, "end_time": 1495.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 374, "text": "It'll be mostly ui.", "raw_text": "It'll be mostly ui.", "start_time": 1495.94, "end_time": 1496.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 375, "text": "We have that second project with them for the preserve AI so sort of incorporate foundation into their client application React app.", "raw_text": "We have that second project with them for the preserve AI so sort of incorporate foundation into their client application React app.", "start_time": 1497.7, "end_time": 1508.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 376, "text": "Then we'll have to do it.", "raw_text": "Then we'll have to do it.", "start_time": 1508.85, "end_time": 1510.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 377, "text": "We'll have to do those modifications.", "raw_text": "We'll have to do those modifications.", "start_time": 1510.61, "end_time": 1512.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 378, "text": "Okay.", "raw_text": "Okay.", "start_time": 1513.17, "end_time": 1513.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 379, "text": "But for this first one it'll be mostly UI UX.", "raw_text": "But for this first one it'll be mostly UI UX.", "start_time": 1514.93, "end_time": 1517.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 380, "text": "And do they have access to all like the observability that they need or will need or said it need to be looked at?", "raw_text": "And do they have access to all like the observability that they need or will need or said it need to be looked at?", "start_time": 1519.33, "end_time": 1526.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 381, "text": "They have access.", "raw_text": "They have access.", "start_time": 1529.73, "end_time": 1530.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 382, "text": "Well, I don't even.", "raw_text": "Well, I don't even.", "start_time": 1530.85, "end_time": 1531.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 383, "text": "I forgot to put the brain Trust stuff back in there", "raw_text": "I forgot to put the brain Trust stuff back in there", "start_time": 1531.73, "end_time": 1533.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 384, "text": "right now.", "raw_text": "right now.", "start_time": 1535.63, "end_time": 1535.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 385, "text": "They don't.", "raw_text": "They don't.", "start_time": 1535.95, "end_time": 1536.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 386, "text": "Now we'll have to walk through that brain trust for the workflow builder.", "raw_text": "Now we'll have to walk through that brain trust for the workflow builder.", "start_time": 1536.43, "end_time": 1541.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 387, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1541.95, "end_time": 1542.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 388, "text": "Okay.", "raw_text": "Okay.", "start_time": 1544.91, "end_time": 1545.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 389, "text": "I think internally, do we.", "raw_text": "I think internally, do we.", "start_time": 1550.99, "end_time": 1553.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 390, "text": "Do you want to talk more about the staging thing before you go to the internal use case or do we have like a.", "raw_text": "Do you want to talk more about the staging thing before you go to the internal use case or do we have like a.", "start_time": 1553.27, "end_time": 1557.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 391, "text": "Do we have a decision on that?", "raw_text": "Do we have a decision on that?", "start_time": 1557.99, "end_time": 1559.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 392, "text": "I think.", "raw_text": "I think.", "start_time": 1559.72, "end_time": 1560.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 393, "text": "Well, do we need a Moreland staging in or do we just have Dev and then Moreland?", "raw_text": "Well, do we need a Moreland staging in or do we just have Dev and then Moreland?", "start_time": 1561.8, "end_time": 1569.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 394, "text": "I mean, we're saying we just leave it as is for now.", "raw_text": "I mean, we're saying we just leave it as is for now.", "start_time": 1571.88, "end_time": 1574.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 395, "text": "Look, one thing like when we're talking about, you know, every customer potentially having their own instance in that situation, the proper way to do it would be every customer would then have a staging instance as well.", "raw_text": "Look, one thing like when we're talking about, you know, every customer potentially having their own instance in that situation, the proper way to do it would be every customer would then have a staging instance as well.", "start_time": 1577.08, "end_time": 1590.09, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 396, "text": "Right.", "raw_text": "Right.", "start_time": 1590.65, "end_time": 1591.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 397, "text": "And that becomes the like sprawl is like we'll have.", "raw_text": "And that becomes the like sprawl is like we'll have.", "start_time": 1591.21, "end_time": 1595.37, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 398, "text": "So like Moreland will be a customer.", "raw_text": "So like Moreland will be a customer.", "start_time": 1595.69, "end_time": 1597.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 399, "text": "So there'd be Moreland Prod and be Moreland Staging.", "raw_text": "So there'd be Moreland Prod and be Moreland Staging.", "start_time": 1597.53, "end_time": 1600.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 400, "text": "Same thing for Safeguard.", "raw_text": "Same thing for Safeguard.", "start_time": 1600.81, "end_time": 1602.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 401, "text": "Same thing for, you know, SDL or whatever that guy name.", "raw_text": "Same thing for, you know, SDL or whatever that guy name.", "start_time": 1603.13, "end_time": 1607.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 402, "text": "Whatever his company name is.", "raw_text": "Whatever his company name is.", "start_time": 1608.01, "end_time": 1609.41, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 403, "text": "Right, right.", "raw_text": "Right, right.", "start_time": 1609.41, "end_time": 1611.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 404, "text": "That dude.", "raw_text": "That dude.", "start_time": 1611.25, "end_time": 1612.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 405, "text": "So like, you know, you have, you'd have like, you know, quite a few different instances running different versions of code.", "raw_text": "So like, you know, you have, you'd have like, you know, quite a few different instances running different versions of code.", "start_time": 1613.33, "end_time": 1621.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 406, "text": "Not to say again, we shouldn't do that because, you know, that's a future problem.", "raw_text": "Not to say again, we shouldn't do that because, you know, that's a future problem.", "start_time": 1621.49, "end_time": 1625.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 407, "text": "But that would probably be the right way to do it.", "raw_text": "But that would probably be the right way to do it.", "start_time": 1626.05, "end_time": 1629.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 408, "text": "Otherwise testing would be really difficult for each of the things we would be customizing about each of those different instances.", "raw_text": "Otherwise testing would be really difficult for each of the things we would be customizing about each of those different instances.", "start_time": 1629.25, "end_time": 1637.89, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 409, "text": "Yeah, I agree there.", "raw_text": "Yeah, I agree there.", "start_time": 1639.74, "end_time": 1641.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 410, "text": "I guess my question is what tenant would our DEB have?", "raw_text": "I guess my question is what tenant would our DEB have?", "start_time": 1641.22, "end_time": 1647.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 411, "text": "Because if it has Moreland, if Moreland is our DEB tenant, then Deb and more or less.", "raw_text": "Because if it has Moreland, if Moreland is our DEB tenant, then Deb and more or less.", "start_time": 1647.82, "end_time": 1655.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 412, "text": "Yeah, I think that's probably reasonable.", "raw_text": "Yeah, I think that's probably reasonable.", "start_time": 1656.54, "end_time": 1658.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 413, "text": "Yeah, if we spend up the staging environment for us, then we just.", "raw_text": "Yeah, if we spend up the staging environment for us, then we just.", "start_time": 1658.46, "end_time": 1661.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 414, "text": "We don't need that dev.", "raw_text": "We don't need that dev.", "start_time": 1661.5, "end_time": 1662.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 415, "text": "That is.", "raw_text": "That is.", "start_time": 1662.78, "end_time": 1663.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 416, "text": "Yeah, that's the same thing.", "raw_text": "Yeah, that's the same thing.", "start_time": 1663.34, "end_time": 1665.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 417, "text": "I agree with that.", "raw_text": "I agree with that.", "start_time": 1666.74, "end_time": 1667.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 418, "text": "So because really we have your local dev environment which acts as the developer's dev environment and then we just need another hosted environment.", "raw_text": "So because really we have your local dev environment which acts as the developer's dev environment and then we just need another hosted environment.", "start_time": 1669.46, "end_time": 1677.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 419, "text": "Yeah, I think the Moreland and Moreland staging access dev and then we get the newest stuff anyways here on dog food.", "raw_text": "Yeah, I think the Moreland and Moreland staging access dev and then we get the newest stuff anyways here on dog food.", "start_time": 1678.42, "end_time": 1683.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 420, "text": "Like that makes sense.", "raw_text": "Like that makes sense.", "start_time": 1683.86, "end_time": 1684.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 421, "text": "But then what do we do with the sales demo?", "raw_text": "But then what do we do with the sales demo?", "start_time": 1684.66, "end_time": 1687.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 422, "text": "One I guess we could figure out later.", "raw_text": "One I guess we could figure out later.", "start_time": 1687.26, "end_time": 1688.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 423, "text": "But that's its own instance then I think like that feel and.", "raw_text": "But that's its own instance then I think like that feel and.", "start_time": 1688.38, "end_time": 1692.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 424, "text": "But then does that get a staging too?", "raw_text": "But then does that get a staging too?", "start_time": 1692.28, "end_time": 1694.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 425, "text": "Like it probably would have to get a staging in a product and then we just for us clarity sake, for.", "raw_text": "Like it probably would have to get a staging in a product and then we just for us clarity sake, for.", "start_time": 1694.96, "end_time": 1702.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 426, "text": "So when we're saying we're separating these, like are these all different repos?", "raw_text": "So when we're saying we're separating these, like are these all different repos?", "start_time": 1702.4, "end_time": 1706.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 427, "text": "And then staging and dev is a branch and then they each get a VM and share a data or like how do we want to accept.", "raw_text": "And then staging and dev is a branch and then they each get a VM and share a data or like how do we want to accept.", "start_time": 1706.52, "end_time": 1712.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 428, "text": "Where's the lines here?", "raw_text": "Where's the lines here?", "start_time": 1712.24, "end_time": 1713.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 429, "text": "Yeah, go for it.", "raw_text": "Yeah, go for it.", "start_time": 1714.24, "end_time": 1716.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 430, "text": "I would hope that they're not separate repos, but you might have separate repos at times that would.", "raw_text": "I would hope that they're not separate repos, but you might have separate repos at times that would.", "start_time": 1717.29, "end_time": 1725.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 431, "text": "Or separate feature branches at times or tenant branches.", "raw_text": "Or separate feature branches at times or tenant branches.", "start_time": 1725.21, "end_time": 1729.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 432, "text": "But that should be like we should be designing this the way where one repo can serve all of these.", "raw_text": "But that should be like we should be designing this the way where one repo can serve all of these.", "start_time": 1729.49, "end_time": 1734.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 433, "text": "So would we make config based, same repo but then, so would we then have like a Morland prod and Moreland staging branch or we have like a prod branch and we have like tags or like feature or like I guess there's do some engineering.", "raw_text": "So would we make config based, same repo but then, so would we then have like a Morland prod and Moreland staging branch or we have like a prod branch and we have like tags or like feature or like I guess there's do some engineering.", "start_time": 1734.57, "end_time": 1749.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 434, "text": "I can look into it.", "raw_text": "I can look into it.", "start_time": 1750.48, "end_time": 1751.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 435, "text": "Or we can look into it flow and CIC works that because.", "raw_text": "Or we can look into it flow and CIC works that because.", "start_time": 1751.68, "end_time": 1755.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 436, "text": "Yeah, I can, I can take that one.", "raw_text": "Yeah, I can, I can take that one.", "start_time": 1756.48, "end_time": 1758.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 437, "text": "Yeah, that's one.", "raw_text": "Yeah, that's one.", "start_time": 1758.4, "end_time": 1759.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 438, "text": "I'm gonna google it anyways.", "raw_text": "I'm gonna google it anyways.", "start_time": 1761.76, "end_time": 1763.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 439, "text": "But yeah, there's a few ways to slice that.", "raw_text": "But yeah, there's a few ways to slice that.", "start_time": 1764.72, "end_time": 1768.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 440, "text": "I mean for clients it's going to be separate repos for sure.", "raw_text": "I mean for clients it's going to be separate repos for sure.", "start_time": 1768.12, "end_time": 1770.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 441, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1771.27, "end_time": 1771.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 442, "text": "And separate virtual projects, separate Supabase projects, all that.", "raw_text": "And separate virtual projects, separate Supabase projects, all that.", "start_time": 1772.63, "end_time": 1776.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 443, "text": "We fork the repos or we would just copy paste, press repo.", "raw_text": "We fork the repos or we would just copy paste, press repo.", "start_time": 1776.95, "end_time": 1782.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 444, "text": "I, I fork the repo because then separate repo or separate like just a branch for clients separately.", "raw_text": "I, I fork the repo because then separate repo or separate like just a branch for clients separately.", "start_time": 1782.59, "end_time": 1791.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 445, "text": "Both.", "raw_text": "Both.", "start_time": 1791.83, "end_time": 1792.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 446, "text": "Why you say that?", "raw_text": "Why you say that?", "start_time": 1792.71, "end_time": 1793.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 447, "text": "Would we ever give them code.", "raw_text": "Would we ever give them code.", "start_time": 1793.75, "end_time": 1795.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 448, "text": "Just in case custom stuff needs to be done?", "raw_text": "Just in case custom stuff needs to be done?", "start_time": 1799.6, "end_time": 1802.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 449, "text": "Yeah, I feel like that.", "raw_text": "Yeah, I feel like that.", "start_time": 1803.76, "end_time": 1811.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 450, "text": "I mean there could be an argument for that, but it's going to get messy fast.", "raw_text": "I mean there could be an argument for that, but it's going to get messy fast.", "start_time": 1812.16, "end_time": 1817.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 451, "text": "I mean you got five clients, you have five client branches in the same.", "raw_text": "I mean you got five clients, you have five client branches in the same.", "start_time": 1817.04, "end_time": 1821.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 452, "text": "I, I think we should do separate repos till we sold enough of these that we have enough money and time to figure out how we're going to make it one.", "raw_text": "I, I think we should do separate repos till we sold enough of these that we have enough money and time to figure out how we're going to make it one.", "start_time": 1823.13, "end_time": 1828.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 453, "text": "Yeah, I mean I know that these are just separate software.", "raw_text": "Yeah, I mean I know that these are just separate software.", "start_time": 1829.45, "end_time": 1831.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 454, "text": "Even like five customers, it sucks.", "raw_text": "Even like five customers, it sucks.", "start_time": 1831.85, "end_time": 1834.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 455, "text": "For risk only.", "raw_text": "For risk only.", "start_time": 1834.25, "end_time": 1834.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 456, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1835.37, "end_time": 1835.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 457, "text": "But we didn't do seven repos.", "raw_text": "But we didn't do seven repos.", "start_time": 1836.49, "end_time": 1837.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 458, "text": "We had one repo with like basically 10 branches.", "raw_text": "We had one repo with like basically 10 branches.", "start_time": 1837.81, "end_time": 1841.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 459, "text": "Okay.", "raw_text": "Okay.", "start_time": 1842.09, "end_time": 1842.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 460, "text": "We're just gonna have to like.", "raw_text": "We're just gonna have to like.", "start_time": 1842.49, "end_time": 1843.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 461, "text": "I'm just not, I don't know, I'm not worried about all of them being separate repos because I mean every single client we have now is set to repos.", "raw_text": "I'm just not, I don't know, I'm not worried about all of them being separate repos because I mean every single client we have now is set to repos.", "start_time": 1844.01, "end_time": 1852.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 462, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1852.45, "end_time": 1852.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 463, "text": "And it's services based.", "raw_text": "And it's services based.", "start_time": 1853.17, "end_time": 1854.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 464, "text": "So this is just normal.", "raw_text": "So this is just normal.", "start_time": 1854.29, "end_time": 1855.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 465, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1855.53, "end_time": 1856.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 466, "text": "Like I think, I think the platform like rolling out updates in that portion of it will suck.", "raw_text": "Like I think, I think the platform like rolling out updates in that portion of it will suck.", "start_time": 1856.53, "end_time": 1862.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 467, "text": "Like that's the problem to figure out.", "raw_text": "Like that's the problem to figure out.", "start_time": 1862.61, "end_time": 1864.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 468, "text": "Well, so how would you get like say we did something good in Safeguard.", "raw_text": "Well, so how would you get like say we did something good in Safeguard.", "start_time": 1864.05, "end_time": 1867.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 469, "text": "Well, I guess if you're saying, well, I don't know if you had the foresight to say like this thing Safeguard asked me to do.", "raw_text": "Well, I guess if you're saying, well, I don't know if you had the foresight to say like this thing Safeguard asked me to do.", "start_time": 1867.89, "end_time": 1875.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 470, "text": "Yeah, makes sense to be in the platform.", "raw_text": "Yeah, makes sense to be in the platform.", "start_time": 1875.77, "end_time": 1877.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 471, "text": "You just do it in the platform branch up front.", "raw_text": "You just do it in the platform branch up front.", "start_time": 1878.17, "end_time": 1880.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 472, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1881.53, "end_time": 1881.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 473, "text": "Or we're like, we're.", "raw_text": "Or we're like, we're.", "start_time": 1881.97, "end_time": 1883.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 474, "text": "That's not really my.", "raw_text": "That's not really my.", "start_time": 1883.77, "end_time": 1884.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 475, "text": "That has been my experience.", "raw_text": "That has been my experience.", "start_time": 1884.77, "end_time": 1885.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 476, "text": "It's been like retroactive.", "raw_text": "It's been like retroactive.", "start_time": 1886.25, "end_time": 1887.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 477, "text": "Like I would do something for like in your SKD world, like do something for bjc and I'm like, oh, this actually should be like how it operates.", "raw_text": "Like I would do something for like in your SKD world, like do something for bjc and I'm like, oh, this actually should be like how it operates.", "start_time": 1887.69, "end_time": 1896.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 478, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1898.25, "end_time": 1898.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 479, "text": "So like, like an example I just did like this morning is there was one issue in like the provision script I had to fix for Safeguard.", "raw_text": "So like, like an example I just did like this morning is there was one issue in like the provision script I had to fix for Safeguard.", "start_time": 1898.61, "end_time": 1908.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 480, "text": "So I fixed it.", "raw_text": "So I fixed it.", "start_time": 1908.53, "end_time": 1909.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 481, "text": "So when you fork, you have your origin repo that you forked and then you have your upstream, which is the.", "raw_text": "So when you fork, you have your origin repo that you forked and then you have your upstream, which is the.", "start_time": 1909.65, "end_time": 1916.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 482, "text": "Yeah, the original platform.", "raw_text": "Yeah, the original platform.", "start_time": 1916.89, "end_time": 1918.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 483, "text": "So I literally made the fix in name on Safeguard and then just pushed to the upstream remote and then now they're on the.", "raw_text": "So I literally made the fix in name on Safeguard and then just pushed to the upstream remote and then now they're on the.", "start_time": 1918.69, "end_time": 1926.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 484, "text": "They're still the same commits, they're still in sync.", "raw_text": "They're still the same commits, they're still in sync.", "start_time": 1926.17, "end_time": 1928.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 485, "text": "That actually would be.", "raw_text": "That actually would be.", "start_time": 1929.68, "end_time": 1930.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 486, "text": "If we ever get to like that pipeline builder that I had that makes PRs, you can just make a PR to its own repo.", "raw_text": "If we ever get to like that pipeline builder that I had that makes PRs, you can just make a PR to its own repo.", "start_time": 1930.56, "end_time": 1937.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 487, "text": "We wouldn't have to worry about like get flow actions and how it selectively deploys to things and.", "raw_text": "We wouldn't have to worry about like get flow actions and how it selectively deploys to things and.", "start_time": 1937.8, "end_time": 1943.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "And that's sweet.", "raw_text": "And that's sweet.", "start_time": 1943.68, "end_time": 1945.36, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 489, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1945.68, "end_time": 1946.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 490, "text": "If you, if you fork it, that's what it'll normally do in like the GitHub UI.", "raw_text": "If you, if you fork it, that's what it'll normally do in like the GitHub UI.", "start_time": 1946.44, "end_time": 1951.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 491, "text": "It'll be like, hey, do you want to contribute this back to what you forked from and what you created?", "raw_text": "It'll be like, hey, do you want to contribute this back to what you forked from and what you created?", "start_time": 1951.68, "end_time": 1957.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 492, "text": "VR?", "raw_text": "VR?", "start_time": 1957.88, "end_time": 1958.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 493, "text": "That's both.", "raw_text": "That's both.", "start_time": 1958.52, "end_time": 1959.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 494, "text": "Yeah, yeah, I'm with that.", "raw_text": "Yeah, yeah, I'm with that.", "start_time": 1959.64, "end_time": 1963.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 495, "text": "So that's kind of a. I don't really care that much.", "raw_text": "So that's kind of a. I don't really care that much.", "start_time": 1963.72, "end_time": 1967.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 496, "text": "Yeah, I don't care.", "raw_text": "Yeah, I don't care.", "start_time": 1967.36, "end_time": 1968.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 497, "text": "That's a future Justin problem.", "raw_text": "That's a future Justin problem.", "start_time": 1972.52, "end_time": 1974.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 498, "text": "But yeah, no, I like, I think that all makes sense.", "raw_text": "But yeah, no, I like, I think that all makes sense.", "start_time": 1975.08, "end_time": 1978.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 499, "text": "We care, but we don't care.", "raw_text": "We care, but we don't care.", "start_time": 1978.36, "end_time": 1979.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 500, "text": "I do feel like now the quad code to help us just clean up the mess.", "raw_text": "I do feel like now the quad code to help us just clean up the mess.", "start_time": 1982.45, "end_time": 1986.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 501, "text": "It'll be fine.", "raw_text": "It'll be fine.", "start_time": 1987.25, "end_time": 1988.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 502, "text": "That's what I'm saying.", "raw_text": "That's what I'm saying.", "start_time": 1988.09, "end_time": 1988.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 503, "text": "If we have all these separate repos, like how hard is it to just like open up the workspace?", "raw_text": "If we have all these separate repos, like how hard is it to just like open up the workspace?", "start_time": 1988.65, "end_time": 1991.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 504, "text": "Be like, what does this one have if this one doesn't push it?", "raw_text": "Be like, what does this one have if this one doesn't push it?", "start_time": 1991.81, "end_time": 1994.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 505, "text": "But for.", "raw_text": "But for.", "start_time": 1994.29, "end_time": 1994.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 506, "text": "Would we still want to do separate for like the demo stuff or could we drag that all off the same main foundation?", "raw_text": "Would we still want to do separate for like the demo stuff or could we drag that all off the same main foundation?", "start_time": 1997.33, "end_time": 2004.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 507, "text": "I would like to drive it.", "raw_text": "I would like to drive it.", "start_time": 2007.98, "end_time": 2009.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 508, "text": "I would like to drive it off of the same.", "raw_text": "I would like to drive it off of the same.", "start_time": 2009.26, "end_time": 2011.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 509, "text": "Like if we are going to really push for more than having a prod instance that should remain stable, that follows like all the release protocol best practices and like it's kind of, you know, our training ground for that then like it should be stable enough to service our demo, you know, but like we'd have to commit to that and like have staging, you know, maybe be less stable.", "raw_text": "Like if we are going to really push for more than having a prod instance that should remain stable, that follows like all the release protocol best practices and like it's kind of, you know, our training ground for that then like it should be stable enough to service our demo, you know, but like we'd have to commit to that and like have staging, you know, maybe be less stable.", "start_time": 2011.58, "end_time": 2036.83, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 510, "text": "But we would never demo off of staging.", "raw_text": "But we would never demo off of staging.", "start_time": 2036.83, "end_time": 2038.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 511, "text": "We'd only demo off of prime.", "raw_text": "We'd only demo off of prime.", "start_time": 2038.63, "end_time": 2040.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 512, "text": "Yep.", "raw_text": "Yep.", "start_time": 2040.47, "end_time": 2041.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 513, "text": "Yeah, I like that.", "raw_text": "Yeah, I like that.", "start_time": 2041.91, "end_time": 2042.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 514, "text": "Well, that'll make us.", "raw_text": "Well, that'll make us.", "start_time": 2042.95, "end_time": 2044.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 515, "text": "That'll hold our feet to the fire of like if we're doing.", "raw_text": "That'll hold our feet to the fire of like if we're doing.", "start_time": 2044.15, "end_time": 2047.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 516, "text": "Keeping it healthy.", "raw_text": "Keeping it healthy.", "start_time": 2047.55, "end_time": 2048.55, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 517, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2049.03, "end_time": 2049.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 518, "text": "Yeah, it's gotta work for Moreland too.", "raw_text": "Yeah, it's gotta work for Moreland too.", "start_time": 2049.43, "end_time": 2052.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 519, "text": "That at least is like a decent pressure test.", "raw_text": "That at least is like a decent pressure test.", "start_time": 2052.55, "end_time": 2055.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 520, "text": "Or like this is just like the data is going to be in more than like we'll have tables in the morning and we're like we get hard code.", "raw_text": "Or like this is just like the data is going to be in more than like we'll have tables in the morning and we're like we get hard code.", "start_time": 2058.46, "end_time": 2063.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 521, "text": "The same exact code that could go be pushed to more than staging and pushed it down most aging.", "raw_text": "The same exact code that could go be pushed to more than staging and pushed it down most aging.", "start_time": 2063.94, "end_time": 2068.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 522, "text": "It should hypothetically work because all that can take care of it.", "raw_text": "It should hypothetically work because all that can take care of it.", "start_time": 2068.86, "end_time": 2072.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 523, "text": "Oh, but I see we're still separate DBs for all separate.", "raw_text": "Oh, but I see we're still separate DBs for all separate.", "start_time": 2073.1, "end_time": 2076.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 524, "text": "That was.", "raw_text": "That was.", "start_time": 2076.62, "end_time": 2077.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 525, "text": "That was true.", "raw_text": "That was true.", "start_time": 2077.02, "end_time": 2077.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 526, "text": "Okay, got you.", "raw_text": "Okay, got you.", "start_time": 2077.86, "end_time": 2078.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 527, "text": "Which.", "raw_text": "Which.", "start_time": 2079.9, "end_time": 2080.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 528, "text": "That would let.", "raw_text": "That would let.", "start_time": 2080.22, "end_time": 2080.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 529, "text": "That would let us share all that code and then still make sure it doesn't break.", "raw_text": "That would let us share all that code and then still make sure it doesn't break.", "start_time": 2080.86, "end_time": 2085.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 530, "text": "Oh wait.", "raw_text": "Oh wait.", "start_time": 2085.35, "end_time": 2085.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 531, "text": "Okay.", "raw_text": "Okay.", "start_time": 2085.87, "end_time": 2086.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 532, "text": "And then also we could tear out the multi tenant stuff.", "raw_text": "And then also we could tear out the multi tenant stuff.", "start_time": 2086.31, "end_time": 2088.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 533, "text": "Now that I've caught up, I completely agree that we could make those the same repo.", "raw_text": "Now that I've caught up, I completely agree that we could make those the same repo.", "start_time": 2089.51, "end_time": 2093.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 534, "text": "But they're separate tenants.", "raw_text": "But they're separate tenants.", "start_time": 2093.07, "end_time": 2094.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 535, "text": "So they have.", "raw_text": "So they have.", "start_time": 2094.03, "end_time": 2094.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 536, "text": "They'll have separate environments and like databases.", "raw_text": "They'll have separate environments and like databases.", "start_time": 2094.51, "end_time": 2097.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 537, "text": "But it's the same repo.", "raw_text": "But it's the same repo.", "start_time": 2097.11, "end_time": 2098.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 538, "text": "Yeah, that.", "raw_text": "Yeah, that.", "start_time": 2098.35, "end_time": 2099.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 539, "text": "That would be nice.", "raw_text": "That would be nice.", "start_time": 2099.23, "end_time": 2100.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 540, "text": "Because if I'm like.", "raw_text": "Because if I'm like.", "start_time": 2100.23, "end_time": 2101.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 541, "text": "If I'm doing all the sales demo stuff and then helping out with the actual dev on like staging, like we could keep that insane.", "raw_text": "If I'm doing all the sales demo stuff and then helping out with the actual dev on like staging, like we could keep that insane.", "start_time": 2101.19, "end_time": 2106.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 542, "text": "I can own that if I have to.", "raw_text": "I can own that if I have to.", "start_time": 2106.43, "end_time": 2107.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 543, "text": "I do think there's where there is a. I haven't thought about just keeping in the same repo for the forks either.", "raw_text": "I do think there's where there is a. I haven't thought about just keeping in the same repo for the forks either.", "start_time": 2107.59, "end_time": 2113.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 544, "text": "Maybe there is an argument to be made there it just for like if we want to do like auto deploy stuff, you'd have a lot more.", "raw_text": "Maybe there is an argument to be made there it just for like if we want to do like auto deploy stuff, you'd have a lot more.", "start_time": 2114.17, "end_time": 2126.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 545, "text": "I feel like it's easier forking than key machinery for now.", "raw_text": "I feel like it's easier forking than key machinery for now.", "start_time": 2127.45, "end_time": 2130.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 546, "text": "I don't know enough about that process to.", "raw_text": "I don't know enough about that process to.", "start_time": 2131.37, "end_time": 2134.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 547, "text": "But I feel like that you got a lot more engineering to make sure like nothing doesn't go out accidentally to another tenant.", "raw_text": "But I feel like that you got a lot more engineering to make sure like nothing doesn't go out accidentally to another tenant.", "start_time": 2135.13, "end_time": 2143.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 548, "text": "Yeah, that's one of the values of doing the forking and then having everyone have their own subdomain.", "raw_text": "Yeah, that's one of the values of doing the forking and then having everyone have their own subdomain.", "start_time": 2143.21, "end_time": 2148.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 549, "text": "Type of scenario is you could have GitHub workflows that are only running on that fork going to that specific VM or render whatever instance, however we want to host these things, bring your own cloud, etc.", "raw_text": "Type of scenario is you could have GitHub workflows that are only running on that fork going to that specific VM or render whatever instance, however we want to host these things, bring your own cloud, etc.", "start_time": 2148.21, "end_time": 2162.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 550, "text": "And it would not impact the deploy of any other tenants.", "raw_text": "And it would not impact the deploy of any other tenants.", "start_time": 2162.73, "end_time": 2166.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 551, "text": "So like right now every release would impact every tenant.", "raw_text": "So like right now every release would impact every tenant.", "start_time": 2167.02, "end_time": 2170.78, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 552, "text": "You know, and there could be unintended side effects to something we change.", "raw_text": "You know, and there could be unintended side effects to something we change.", "start_time": 2170.78, "end_time": 2175.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 553, "text": "Right.", "raw_text": "Right.", "start_time": 2175.82, "end_time": 2176.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 554, "text": "This would get rid of that risk almost entirely.", "raw_text": "This would get rid of that risk almost entirely.", "start_time": 2177.58, "end_time": 2179.9, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 555, "text": "Okay, so yeah, let's keep it that way.", "raw_text": "Okay, so yeah, let's keep it that way.", "start_time": 2182.22, "end_time": 2184.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 556, "text": "I Was starting to gravitate towards Justin was swaying me a little bit there.", "raw_text": "I Was starting to gravitate towards Justin was swaying me a little bit there.", "start_time": 2185.1, "end_time": 2189.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 557, "text": "I'm like, yeah, why do we have to do this separate?", "raw_text": "I'm like, yeah, why do we have to do this separate?", "start_time": 2189.22, "end_time": 2190.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 558, "text": "But now I think.", "raw_text": "But now I think.", "start_time": 2190.86, "end_time": 2191.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 559, "text": "I think the GitHub actions and a few other things.", "raw_text": "I think the GitHub actions and a few other things.", "start_time": 2191.98, "end_time": 2194.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 560, "text": "Does think that makes sense.", "raw_text": "Does think that makes sense.", "start_time": 2194.06, "end_time": 2195.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 561, "text": "Yeah, you already convinced me either way.", "raw_text": "Yeah, you already convinced me either way.", "start_time": 2195.57, "end_time": 2197.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 562, "text": "To be clear, I was big on from the beginning, like, let's just leave it all in one repo.", "raw_text": "To be clear, I was big on from the beginning, like, let's just leave it all in one repo.", "start_time": 2201.81, "end_time": 2206.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 563, "text": "That's the way SaaS should work.", "raw_text": "That's the way SaaS should work.", "start_time": 2206.57, "end_time": 2207.81, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 564, "text": "But, like, as we gotten further into this, one of the things we learned is, like, this is not a SaaS product.", "raw_text": "But, like, as we gotten further into this, one of the things we learned is, like, this is not a SaaS product.", "start_time": 2207.81, "end_time": 2212.69, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 565, "text": "This is a platform product, you know, and so we need to revisit, you know, just some of our thinking around a few different areas.", "raw_text": "This is a platform product, you know, and so we need to revisit, you know, just some of our thinking around a few different areas.", "start_time": 2213.01, "end_time": 2222.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 566, "text": "And I think DX is one of them for sure.", "raw_text": "And I think DX is one of them for sure.", "start_time": 2222.17, "end_time": 2224.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 567, "text": "Yep.", "raw_text": "Yep.", "start_time": 2226.06, "end_time": 2226.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 568, "text": "Agree.", "raw_text": "Agree.", "start_time": 2226.34, "end_time": 2226.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 569, "text": "Okay.", "raw_text": "Okay.", "start_time": 2229.74, "end_time": 2230.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 570, "text": "All right.", "raw_text": "All right.", "start_time": 2230.54, "end_time": 2231.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 571, "text": "Well, I have to go and drive in this snow to Case Western because I was supposed to be at the Think Box.", "raw_text": "Well, I have to go and drive in this snow to Case Western because I was supposed to be at the Think Box.", "start_time": 2231.42, "end_time": 2238.18, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 572, "text": "I really don't want to, but I did make a commitment.", "raw_text": "I really don't want to, but I did make a commitment.", "start_time": 2238.18, "end_time": 2241.82, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 573, "text": "Marzel Brown, he works for Rockwell Automation, but I think he's doing some projects or some case students.", "raw_text": "Marzel Brown, he works for Rockwell Automation, but I think he's doing some projects or some case students.", "start_time": 2243.26, "end_time": 2248.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 574, "text": "He asked me to come in and talk to somebody, so.", "raw_text": "He asked me to come in and talk to somebody, so.", "start_time": 2249.02, "end_time": 2252.51, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 575, "text": "I don't know, man.", "raw_text": "I don't know, man.", "start_time": 2252.83, "end_time": 2253.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 576, "text": "I get asked to do this stuff, and I really try my best to be nice about it, but sometimes I gotta learn to say no.", "raw_text": "I get asked to do this stuff, and I really try my best to be nice about it, but sometimes I gotta learn to say no.", "start_time": 2253.67, "end_time": 2260.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 577, "text": "And I think it's one of the times I should have said no.", "raw_text": "And I think it's one of the times I should have said no.", "start_time": 2260.15, "end_time": 2261.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 578, "text": "We got Goldberg's class in a couple weeks.", "raw_text": "We got Goldberg's class in a couple weeks.", "start_time": 2262.83, "end_time": 2264.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 579, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2265.63, "end_time": 2266.19, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 580, "text": "Yeah, for sure.", "raw_text": "Yeah, for sure.", "start_time": 2266.27, "end_time": 2267.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 581, "text": "Be careful parking in and out of there.", "raw_text": "Be careful parking in and out of there.", "start_time": 2267.71, "end_time": 2269.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 582, "text": "That's like a death trap.", "raw_text": "That's like a death trap.", "start_time": 2269.63, "end_time": 2270.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 583, "text": "Oh, man, I. I really.", "raw_text": "Oh, man, I. I really.", "start_time": 2271.47, "end_time": 2273.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 584, "text": "Yeah, Yeah.", "raw_text": "Yeah, Yeah.", "start_time": 2273.63, "end_time": 2274.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 585, "text": "I hate that thing.", "raw_text": "I hate that thing.", "start_time": 2274.71, "end_time": 2275.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 586, "text": "Box, man, that's the worst parking.", "raw_text": "Box, man, that's the worst parking.", "start_time": 2275.75, "end_time": 2277.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 587, "text": "I don't like.", "raw_text": "I don't like.", "start_time": 2277.39, "end_time": 2278.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 588, "text": "The building is so nice, but it's the wrong place.", "raw_text": "The building is so nice, but it's the wrong place.", "start_time": 2278.43, "end_time": 2280.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 589, "text": "Oh, so then you park in veal, and then you have to walk across the bridge and everything.", "raw_text": "Oh, so then you park in veal, and then you have to walk across the bridge and everything.", "start_time": 2280.71, "end_time": 2283.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 590, "text": "Yeah, but you have to have a student badge, because that's the other thing about that experience is, like, depends on who's at the desk.", "raw_text": "Yeah, but you have to have a student badge, because that's the other thing about that experience is, like, depends on who's at the desk.", "start_time": 2284.39, "end_time": 2291.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 591, "text": "Sometimes it takes me forever to get them to let me over to Think Box that don't have a student badge, which I think is dumb.", "raw_text": "Sometimes it takes me forever to get them to let me over to Think Box that don't have a student badge, which I think is dumb.", "start_time": 2291.95, "end_time": 2296.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 592, "text": "I'll just be like, hey, I'm on a. I'll tell them.", "raw_text": "I'll just be like, hey, I'm on a. I'll tell them.", "start_time": 2297.19, "end_time": 2299.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 593, "text": "I'm like, give.", "raw_text": "I'm like, give.", "start_time": 2299.03, "end_time": 2299.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 594, "text": "I'm on a tour.", "raw_text": "I'm on a tour.", "start_time": 2299.51, "end_time": 2300.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 595, "text": "Or like, well, I was a student, but I was just like, oh, I'm on a tour.", "raw_text": "Or like, well, I was a student, but I was just like, oh, I'm on a tour.", "start_time": 2300.31, "end_time": 2302.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 596, "text": "Or I'm like, oh, football.", "raw_text": "Or I'm like, oh, football.", "start_time": 2302.95, "end_time": 2303.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 597, "text": "I got a running graduate time.", "raw_text": "I got a running graduate time.", "start_time": 2303.87, "end_time": 2304.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 598, "text": "I'm actually different.", "raw_text": "I'm actually different.", "start_time": 2304.91, "end_time": 2305.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 599, "text": "I had a different excuse to pay on the security guard, but there's that one.", "raw_text": "I had a different excuse to pay on the security guard, but there's that one.", "start_time": 2306.47, "end_time": 2309.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 600, "text": "Like, he does not mess around.", "raw_text": "Like, he does not mess around.", "start_time": 2309.19, "end_time": 2311.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 601, "text": "Right.", "raw_text": "Right.", "start_time": 2312.07, "end_time": 2312.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 602, "text": "That's what I'm saying.", "raw_text": "That's what I'm saying.", "start_time": 2312.39, "end_time": 2312.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 603, "text": "It really just depends who's sitting at that desk, whether or not it's going to be a like five minute interaction or like a five second interaction", "raw_text": "It really just depends who's sitting at that desk, whether or not it's going to be a like five minute interaction or like a five second interaction", "start_time": 2312.95, "end_time": 2319.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 604, "text": "because Think Box is publicly accessible.", "raw_text": "because Think Box is publicly accessible.", "start_time": 2321.51, "end_time": 2323.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 605, "text": "You'd be like, oh, they told me to park over here.", "raw_text": "You'd be like, oh, they told me to park over here.", "start_time": 2323.39, "end_time": 2325.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 606, "text": "And I'm going.", "raw_text": "And I'm going.", "start_time": 2325.19, "end_time": 2325.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 607, "text": "There's an event on the first floor.", "raw_text": "There's an event on the first floor.", "start_time": 2325.99, "end_time": 2327.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 608, "text": "It's like open to the public normally.", "raw_text": "It's like open to the public normally.", "start_time": 2327.51, "end_time": 2329.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 609, "text": "Like, yeah, yeah, that's going to.", "raw_text": "Like, yeah, yeah, that's going to.", "start_time": 2329.51, "end_time": 2332.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 610, "text": "That's probably what I do.", "raw_text": "That's probably what I do.", "start_time": 2332.68, "end_time": 2334, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 611, "text": "Because I really don't want to walk super far and I'm definitely not parking on the street.", "raw_text": "Because I really don't want to walk super far and I'm definitely not parking on the street.", "start_time": 2334, "end_time": 2339.6, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 612, "text": "When I used to.", "raw_text": "When I used to.", "start_time": 2339.6, "end_time": 2340.28, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 613, "text": "I had an office in Pink Box originally and that was like easy mode because it was during the pandemic.", "raw_text": "I had an office in Pink Box originally and that was like easy mode because it was during the pandemic.", "start_time": 2340.28, "end_time": 2344.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 614, "text": "And so I get seventh floor, so I could just like park in that lot and just like keep an eye on it.", "raw_text": "And so I get seventh floor, so I could just like park in that lot and just like keep an eye on it.", "start_time": 2344.96, "end_time": 2350.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 615, "text": "And like, Tiffany will let me know if, like, I was at risk of being towed.", "raw_text": "And like, Tiffany will let me know if, like, I was at risk of being towed.", "start_time": 2351.12, "end_time": 2354.36, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 616, "text": "I never was, but these days I'm not taking those kind of chances.", "raw_text": "I never was, but these days I'm not taking those kind of chances.", "start_time": 2354.36, "end_time": 2359.52, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 617, "text": "All right, y', all, let me get rolling.", "raw_text": "All right, y', all, let me get rolling.", "start_time": 2361.99, "end_time": 2363.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 618, "text": "See you.", "raw_text": "See you.", "start_time": 2364.55, "end_time": 2365.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 619, "text": "Peace.", "raw_text": "Peace.", "start_time": 2365.83, "end_time": 2366.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 620, "text": "That'll be.", "raw_text": "That'll be.", "start_time": 2373.91, "end_time": 2374.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 621, "text": "That'll be good.", "raw_text": "That'll be good.", "start_time": 2374.55, "end_time": 2375.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 622, "text": "And clean that up a little bit.", "raw_text": "And clean that up a little bit.", "start_time": 2375.15, "end_time": 2376.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 623, "text": "Yep.", "raw_text": "Yep.", "start_time": 2377.11, "end_time": 2377.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 624, "text": "The only other thing I think.", "raw_text": "The only other thing I think.", "start_time": 2380.47, "end_time": 2381.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 625, "text": "Well, I think part of the use cases.", "raw_text": "Well, I think part of the use cases.", "start_time": 2381.63, "end_time": 2383.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 626, "text": "I mean, I think we gotta sit down with Paul and Sam probably are the two places to start.", "raw_text": "I mean, I think we gotta sit down with Paul and Sam probably are the two places to start.", "start_time": 2387.28, "end_time": 2394.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 627, "text": "I feel like we could get.", "raw_text": "I feel like we could get.", "start_time": 2396.24, "end_time": 2397.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 628, "text": "What do we want?", "raw_text": "What do we want?", "start_time": 2398, "end_time": 2398.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 629, "text": "Anything for devs.", "raw_text": "Anything for devs.", "start_time": 2398.6, "end_time": 2399.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 630, "text": "I think that devs is the spark.", "raw_text": "I think that devs is the spark.", "start_time": 2400.8, "end_time": 2402.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 631, "text": "Engineering.", "raw_text": "Engineering.", "start_time": 2403.84, "end_time": 2404.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 632, "text": "Engineering, yeah.", "raw_text": "Engineering, yeah.", "start_time": 2404.96, "end_time": 2406.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 633, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2406.24, "end_time": 2406.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 634, "text": "Do we bring.", "raw_text": "Do we bring.", "start_time": 2406.52, "end_time": 2407.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 635, "text": "I mean, I think we could do stuff in foundation too.", "raw_text": "I mean, I think we could do stuff in foundation too.", "start_time": 2407.04, "end_time": 2409.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 636, "text": "Especially if we got like.", "raw_text": "Especially if we got like.", "start_time": 2410.08, "end_time": 2411.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 637, "text": "Yeah, I don't know.", "raw_text": "Yeah, I don't know.", "start_time": 2414.72, "end_time": 2415.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 638, "text": "I think both things do that.", "raw_text": "I think both things do that.", "start_time": 2415.32, "end_time": 2417.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 639, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2417.12, "end_time": 2417.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 640, "text": "I mean, I think you're right on spark.", "raw_text": "I mean, I think you're right on spark.", "start_time": 2417.44, "end_time": 2418.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 641, "text": "I just didn't.", "raw_text": "I just didn't.", "start_time": 2418.52, "end_time": 2418.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 642, "text": "I know at one point we talked about, like, bringing the spark workflow in the foundation, but it probably makes more sense to keep separate.", "raw_text": "I know at one point we talked about, like, bringing the spark workflow in the foundation, but it probably makes more sense to keep separate.", "start_time": 2418.96, "end_time": 2424.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 643, "text": "Like, why isn't foundation.", "raw_text": "Like, why isn't foundation.", "start_time": 2424.2, "end_time": 2425.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 644, "text": "When I do my pipeline builder.", "raw_text": "When I do my pipeline builder.", "start_time": 2426.08, "end_time": 2427.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 645, "text": "I didn't even know I was going to do this.", "raw_text": "I didn't even know I was going to do this.", "start_time": 2428.24, "end_time": 2429.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 646, "text": "I was like, can I.", "raw_text": "I was like, can I.", "start_time": 2429.68, "end_time": 2430.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 647, "text": "How am I going to push this PR up?", "raw_text": "How am I going to push this PR up?", "start_time": 2430.68, "end_time": 2432.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 648, "text": "And they're like, oh, I found some GitHub credentials.", "raw_text": "And they're like, oh, I found some GitHub credentials.", "start_time": 2432.36, "end_time": 2434.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 649, "text": "I'll just use those.", "raw_text": "I'll just use those.", "start_time": 2434.44, "end_time": 2435.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 650, "text": "Yeah, me.", "raw_text": "Yeah, me.", "start_time": 2435.24, "end_time": 2435.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 651, "text": "And I was like, okay.", "raw_text": "And I was like, okay.", "start_time": 2435.72, "end_time": 2436.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 652, "text": "Me and.", "raw_text": "Me and.", "start_time": 2436.88, "end_time": 2437.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 653, "text": "Me and David both put spark in.", "raw_text": "Me and David both put spark in.", "start_time": 2437.36, "end_time": 2438.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 654, "text": "Like, he put it in.", "raw_text": "Like, he put it in.", "start_time": 2438.92, "end_time": 2439.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 655, "text": "And I was like, that was like Christmas we put it in.", "raw_text": "And I was like, that was like Christmas we put it in.", "start_time": 2439.48, "end_time": 2442.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 656, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2442.95, "end_time": 2443.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 657, "text": "I mean, I think we could definitely do, like, call comes in or maybe you do, like, import an email to foundation and the workflow kicks off and like, pulls the repo down.", "raw_text": "I mean, I think we could definitely do, like, call comes in or maybe you do, like, import an email to foundation and the workflow kicks off and like, pulls the repo down.", "start_time": 2443.67, "end_time": 2457.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 658, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2457.59, "end_time": 2458.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 659, "text": "Runs it f. Makes a PR back.", "raw_text": "Runs it f. Makes a PR back.", "start_time": 2458.63, "end_time": 2461.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 660, "text": "I mean, the.", "raw_text": "I mean, the.", "start_time": 2463.91, "end_time": 2464.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 661, "text": "I feel like out of the gate.", "raw_text": "I feel like out of the gate.", "start_time": 2467.04, "end_time": 2468.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 662, "text": "I agree.", "raw_text": "I agree.", "start_time": 2468.04, "end_time": 2468.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 663, "text": "I think Paul and Sam are gonna have the most use cases, especially", "raw_text": "I think Paul and Sam are gonna have the most use cases, especially", "start_time": 2468.52, "end_time": 2472.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 664, "text": "from", "raw_text": "from", "start_time": 2474.48, "end_time": 2474.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 665, "text": "a scoping and Estimating standpoint, like, I feel like that takes a lot of the technical team time and if we could get a skill that does that reliably based on how we would historically.", "raw_text": "a scoping and Estimating standpoint, like, I feel like that takes a lot of the technical team time and if we could get a skill that does that reliably based on how we would historically.", "start_time": 2474.8, "end_time": 2485.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 666, "text": "Yeah, I think that was.", "raw_text": "Yeah, I think that was.", "start_time": 2485.68, "end_time": 2486.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 667, "text": "I think that'd be great.", "raw_text": "I think that'd be great.", "start_time": 2486.68, "end_time": 2487.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 668, "text": "And then they can just jet out these things on the fly.", "raw_text": "And then they can just jet out these things on the fly.", "start_time": 2487.52, "end_time": 2491.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 669, "text": "Like, I think it plays into the whole like overall Moreland strategy of like the service as software buzzword of like how do you revolutionize professional services business to operates like at software, like margins.", "raw_text": "Like, I think it plays into the whole like overall Moreland strategy of like the service as software buzzword of like how do you revolutionize professional services business to operates like at software, like margins.", "start_time": 2491.82, "end_time": 2510.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 670, "text": "And I think we just got to look at like all our internal processes that just suck and just get them automated.", "raw_text": "And I think we just got to look at like all our internal processes that just suck and just get them automated.", "start_time": 2510.5, "end_time": 2517.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 671, "text": "Oh yeah, I agree.", "raw_text": "Oh yeah, I agree.", "start_time": 2519.39, "end_time": 2520.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 672, "text": "I think you're right.", "raw_text": "I think you're right.", "start_time": 2522.19, "end_time": 2522.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 673, "text": "Probably does make sense because those are close to the customers we're doing.", "raw_text": "Probably does make sense because those are close to the customers we're doing.", "start_time": 2522.91, "end_time": 2525.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 674, "text": "But I feel like it is like with the devs, if we get them rolling, they like help us out.", "raw_text": "But I feel like it is like with the devs, if we get them rolling, they like help us out.", "start_time": 2525.47, "end_time": 2528.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 675, "text": "Like.", "raw_text": "Like.", "start_time": 2528.59, "end_time": 2528.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 676, "text": "Yeah, but the problem is like the club code's already good by itself.", "raw_text": "Yeah, but the problem is like the club code's already good by itself.", "start_time": 2529.95, "end_time": 2534.109, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 677, "text": "All we could do is like when they're cuss.", "raw_text": "All we could do is like when they're cuss.", "start_time": 2534.43, "end_time": 2537.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 678, "text": "I think the only thing you can improve that is when customer communication happens.", "raw_text": "I think the only thing you can improve that is when customer communication happens.", "start_time": 2537.43, "end_time": 2541.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 679, "text": "If you.", "raw_text": "If you.", "start_time": 2542.27, "end_time": 2542.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 680, "text": "Right now I do a lot of times somebody will email me.", "raw_text": "Right now I do a lot of times somebody will email me.", "start_time": 2543.07, "end_time": 2545.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 681, "text": "I just paste the email in the.", "raw_text": "I just paste the email in the.", "start_time": 2545.51, "end_time": 2546.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 682, "text": "Well, I agree.", "raw_text": "Well, I agree.", "start_time": 2548.07, "end_time": 2548.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 683, "text": "I don't think that's like the only thing left to solve.", "raw_text": "I don't think that's like the only thing left to solve.", "start_time": 2548.59, "end_time": 2551.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 684, "text": "I think.", "raw_text": "I think.", "start_time": 2551.91, "end_time": 2552.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 685, "text": "Yeah, it's literally like this transcript goes into logical linear tickets which kick off dev processes for each ticket that create a pr and then you review the pr, pick it up.", "raw_text": "Yeah, it's literally like this transcript goes into logical linear tickets which kick off dev processes for each ticket that create a pr and then you review the pr, pick it up.", "start_time": 2552.95, "end_time": 2565.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 686, "text": "Yeah, like that's pretty much.", "raw_text": "Yeah, like that's pretty much.", "start_time": 2565.95, "end_time": 2567.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 687, "text": "I guess that makes sense.", "raw_text": "I guess that makes sense.", "start_time": 2567.39, "end_time": 2568.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 688, "text": "Well, I mean, I certainly don't think we should try to solve anything in there like IDE or like the direct coding.", "raw_text": "Well, I mean, I certainly don't think we should try to solve anything in there like IDE or like the direct coding.", "start_time": 2568.23, "end_time": 2573.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 689, "text": "Like, like, I agree that doesn't make sense, but it'd be anything else.", "raw_text": "Like, like, I agree that doesn't make sense, but it'd be anything else.", "start_time": 2573.19, "end_time": 2576.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 690, "text": "And I guess I forget, like I'm not necessarily did the same workflow as what most of the guys are doing, but like the squads.", "raw_text": "And I guess I forget, like I'm not necessarily did the same workflow as what most of the guys are doing, but like the squads.", "start_time": 2576.13, "end_time": 2582.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 691, "text": "Like what about like inner squad communication?", "raw_text": "Like what about like inner squad communication?", "start_time": 2582.45, "end_time": 2584.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 692, "text": "Like we talked about like first party apps.", "raw_text": "Like we talked about like first party apps.", "start_time": 2584.25, "end_time": 2586.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 693, "text": "Like if we, if we had like that dashboard we talked about having like assign your like, what if it was like a, a spot where we could like put the staffing for like a squad.", "raw_text": "Like if we, if we had like that dashboard we talked about having like assign your like, what if it was like a, a spot where we could like put the staffing for like a squad.", "start_time": 2586.41, "end_time": 2595.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 694, "text": "They could have like communication there.", "raw_text": "They could have like communication there.", "start_time": 2595.85, "end_time": 2597.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 695, "text": "Like there was like a, like a board.", "raw_text": "Like there was like a, like a board.", "start_time": 2597.53, "end_time": 2598.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 696, "text": "Like we talked about our first party apps.", "raw_text": "Like we talked about our first party apps.", "start_time": 2598.89, "end_time": 2600.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 697, "text": "Like feel like there's a ton we could do with with them and then they could like own those.", "raw_text": "Like feel like there's a ton we could do with with them and then they could like own those.", "start_time": 2600.45, "end_time": 2604.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 698, "text": "Yeah, I think there could be some like value there.", "raw_text": "Yeah, I think there could be some like value there.", "start_time": 2607.88, "end_time": 2610.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 699, "text": "Like Sam at least wants to get together this like forecasting spreadsheet, which is like our spreadsheet we do the demand planning on but like more accurate and better.", "raw_text": "Like Sam at least wants to get together this like forecasting spreadsheet, which is like our spreadsheet we do the demand planning on but like more accurate and better.", "start_time": 2610.24, "end_time": 2622.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 700, "text": "Yeah, I think, I think like Like, I. I don't know from a.", "raw_text": "Yeah, I think, I think like Like, I. I don't know from a.", "start_time": 2622.6, "end_time": 2625.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 701, "text": "At least out of the gate.", "raw_text": "At least out of the gate.", "start_time": 2627.01, "end_time": 2628.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 702, "text": "Like, I just don't know if those are like the first ones we should tackle.", "raw_text": "Like, I just don't know if those are like the first ones we should tackle.", "start_time": 2628.05, "end_time": 2634.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 703, "text": "Well, I agree, but maybe.", "raw_text": "Well, I agree, but maybe.", "start_time": 2634.45, "end_time": 2635.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 704, "text": "So I agree that like Sam and Paul's use cases are like product direct.", "raw_text": "So I agree that like Sam and Paul's use cases are like product direct.", "start_time": 2636.45, "end_time": 2640.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 705, "text": "But like I think some of their use cases could improve them because like they want to work on project management.", "raw_text": "But like I think some of their use cases could improve them because like they want to work on project management.", "start_time": 2640.09, "end_time": 2644.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 706, "text": "Like, maybe there's a way that like if you're running.", "raw_text": "Like, maybe there's a way that like if you're running.", "start_time": 2644.77, "end_time": 2647.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 707, "text": "If you want to go run Gantt charts, like wouldn't it be useful to have the people like executing them be able to like access them or like edit them too?", "raw_text": "If you want to go run Gantt charts, like wouldn't it be useful to have the people like executing them be able to like access them or like edit them too?", "start_time": 2647.01, "end_time": 2653.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 708, "text": "Like, I guess it's like these are not.", "raw_text": "Like, I guess it's like these are not.", "start_time": 2653.01, "end_time": 2655.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 709, "text": "That is up to.", "raw_text": "That is up to.", "start_time": 2655.88, "end_time": 2656.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 710, "text": "Like, that's up to Sam.", "raw_text": "Like, that's up to Sam.", "start_time": 2656.76, "end_time": 2659, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 711, "text": "Yeah, yeah, agree.", "raw_text": "Yeah, yeah, agree.", "start_time": 2659.48, "end_time": 2661.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 712, "text": "Like Sam's running that department.", "raw_text": "Like Sam's running that department.", "start_time": 2662.12, "end_time": 2663.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 713, "text": "Yes.", "raw_text": "Yes.", "start_time": 2664.12, "end_time": 2664.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 714, "text": "He's got to go talk to the squads.", "raw_text": "He's got to go talk to the squads.", "start_time": 2664.6, "end_time": 2666.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 715, "text": "Like what do you.", "raw_text": "Like what do you.", "start_time": 2666.24, "end_time": 2667.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 716, "text": "What would help?", "raw_text": "What would help?", "start_time": 2667.08, "end_time": 2667.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 717, "text": "And then where's.", "raw_text": "And then where's.", "start_time": 2667.68, "end_time": 2669.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 718, "text": "So I mean, we can bring in other people too, but I feel like Sam should own that.", "raw_text": "So I mean, we can bring in other people too, but I feel like Sam should own that.", "start_time": 2670.119, "end_time": 2674.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 719, "text": "Like.", "raw_text": "Like.", "start_time": 2674.44, "end_time": 2674.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 720, "text": "Yeah, that works then, I guess.", "raw_text": "Yeah, that works then, I guess.", "start_time": 2675.24, "end_time": 2676.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 721, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2676.88, "end_time": 2677.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 722, "text": "We got apartments now and yeah, if you just say offload use cases, that's fine.", "raw_text": "We got apartments now and yeah, if you just say offload use cases, that's fine.", "start_time": 2677.32, "end_time": 2682.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 723, "text": "We'll just.", "raw_text": "We'll just.", "start_time": 2682.85, "end_time": 2683.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 724, "text": "I'll just build them.", "raw_text": "I'll just build them.", "start_time": 2683.25, "end_time": 2684.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 725, "text": "We can build them.", "raw_text": "We can build them.", "start_time": 2684.17, "end_time": 2685.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 726, "text": "And I think from the dev process, like you're kind of the stakeholder there.", "raw_text": "And I think from the dev process, like you're kind of the stakeholder there.", "start_time": 2685.13, "end_time": 2690.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 727, "text": "So you could like.", "raw_text": "So you could like.", "start_time": 2690.97, "end_time": 2692.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 728, "text": "Yeah, so there's like sales.", "raw_text": "Yeah, so there's like sales.", "start_time": 2692.57, "end_time": 2694.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 729, "text": "Marketing.", "raw_text": "Marketing.", "start_time": 2694.89, "end_time": 2695.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 730, "text": "Marketing.", "raw_text": "Marketing.", "start_time": 2695.61, "end_time": 2696.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 731, "text": "We probably gotta figure out like, I think we can do a lot there and I don't think it's.", "raw_text": "We probably gotta figure out like, I think we can do a lot there and I don't think it's.", "start_time": 2696.13, "end_time": 2699.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 732, "text": "I don't think like really Paul has the bandwidth to do that too.", "raw_text": "I don't think like really Paul has the bandwidth to do that too.", "start_time": 2699.85, "end_time": 2703.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 733, "text": "I could do that.", "raw_text": "I could do that.", "start_time": 2703.93, "end_time": 2704.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 734, "text": "So like we could automate that too.", "raw_text": "So like we could automate that too.", "start_time": 2704.97, "end_time": 2706.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 735, "text": "Yeah, yeah, like a ton with like.", "raw_text": "Yeah, yeah, like a ton with like.", "start_time": 2706.93, "end_time": 2709.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 736, "text": "Let's go.", "raw_text": "Let's go.", "start_time": 2709.46, "end_time": 2710.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 737, "text": "There's marketing, there's dev tools, which I think this harness piece.", "raw_text": "There's marketing, there's dev tools, which I think this harness piece.", "start_time": 2710.26, "end_time": 2715.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 738, "text": "But there could be some foundation play there.", "raw_text": "But there could be some foundation play there.", "start_time": 2715.22, "end_time": 2717.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 739, "text": "Sales and then the pm.", "raw_text": "Sales and then the pm.", "start_time": 2719.3, "end_time": 2721.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 740, "text": "And in the pm, like in terms of like working with squads, like, I feel like he should be the voice of the.", "raw_text": "And in the pm, like in terms of like working with squads, like, I feel like he should be the voice of the.", "start_time": 2721.58, "end_time": 2726.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 741, "text": "All those teams.", "raw_text": "All those teams.", "start_time": 2726.78, "end_time": 2727.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 742, "text": "Yeah, I agree.", "raw_text": "Yeah, I agree.", "start_time": 2729.38, "end_time": 2730.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 743, "text": "Yeah, just make that his thing.", "raw_text": "Yeah, just make that his thing.", "start_time": 2730.26, "end_time": 2731.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 744, "text": "No, I'm good.", "raw_text": "No, I'm good.", "start_time": 2731.46, "end_time": 2732.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 745, "text": "Yeah, I think you're right.", "raw_text": "Yeah, I think you're right.", "start_time": 2732.02, "end_time": 2733.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 746, "text": "We'll just make him the owner and then he'll just run through it because.", "raw_text": "We'll just make him the owner and then he'll just run through it because.", "start_time": 2734.11, "end_time": 2736.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 747, "text": "Yeah, he'll figure it out.", "raw_text": "Yeah, he'll figure it out.", "start_time": 2736.51, "end_time": 2737.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 748, "text": "Marketing account.", "raw_text": "Marketing account.", "start_time": 2737.79, "end_time": 2738.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 749, "text": "No one has it.", "raw_text": "No one has it.", "start_time": 2738.59, "end_time": 2739.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 750, "text": "It's like, yeah, I get to own that if you just do that.", "raw_text": "It's like, yeah, I get to own that if you just do that.", "start_time": 2739.87, "end_time": 2745.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 751, "text": "So I think for marketing.", "raw_text": "So I think for marketing.", "start_time": 2745.15, "end_time": 2746.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 752, "text": "Well, I wanted to.", "raw_text": "Well, I wanted to.", "start_time": 2746.23, "end_time": 2747.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 753, "text": "I don't want to like over commit my bandwidth because I'm probably gonna do anything Thursday, Friday, so I'm gonna just be done with school.", "raw_text": "I don't want to like over commit my bandwidth because I'm probably gonna do anything Thursday, Friday, so I'm gonna just be done with school.", "start_time": 2748.67, "end_time": 2752.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 754, "text": "But the next week reads here.", "raw_text": "But the next week reads here.", "start_time": 2752.99, "end_time": 2754.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 755, "text": "So I think it would be good.", "raw_text": "So I think it would be good.", "start_time": 2754.59, "end_time": 2755.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 756, "text": "Like my goal is to try to work on that staging Environment.", "raw_text": "Like my goal is to try to work on that staging Environment.", "start_time": 2755.71, "end_time": 2757.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 757, "text": "But maybe we start cleaning up that workflow builder.", "raw_text": "But maybe we start cleaning up that workflow builder.", "start_time": 2757.95, "end_time": 2761.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 758, "text": "And, like, next week we're like, I'm gonna be doing that for the safeguard stuff.", "raw_text": "And, like, next week we're like, I'm gonna be doing that for the safeguard stuff.", "start_time": 2761.32, "end_time": 2765.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 759, "text": "So, like, yeah, you know.", "raw_text": "So, like, yeah, you know.", "start_time": 2765.72, "end_time": 2766.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 760, "text": "Yeah, like, we could work in tangent of, like, maybe what would be useful is if, like, by early next week, we had this sales demo moreland.", "raw_text": "Yeah, like, we could work in tangent of, like, maybe what would be useful is if, like, by early next week, we had this sales demo moreland.", "start_time": 2766.92, "end_time": 2774.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 761, "text": "Org set up.", "raw_text": "Org set up.", "start_time": 2774.44, "end_time": 2775.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 762, "text": "And then I could just sit.", "raw_text": "And then I could just sit.", "start_time": 2775.32, "end_time": 2776.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 763, "text": "Reed's gonna be here for two weeks in person the next two weeks.", "raw_text": "Reed's gonna be here for two weeks in person the next two weeks.", "start_time": 2776.96, "end_time": 2780.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 764, "text": "And if Reed could just sit next to me as we get this sales demo.", "raw_text": "And if Reed could just sit next to me as we get this sales demo.", "start_time": 2780.92, "end_time": 2783.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 765, "text": "Org set up.", "raw_text": "Org set up.", "start_time": 2783.68, "end_time": 2784.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 766, "text": "And then because we kind of have flushed out use cases, like, we have that old Hinckley one that we genericize that, like, I could pull in.", "raw_text": "And then because we kind of have flushed out use cases, like, we have that old Hinckley one that we genericize that, like, I could pull in.", "start_time": 2784.24, "end_time": 2790.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 767, "text": "And, like, I. I can be in charge of pulling all that in if we just, like, work together on, like, where to put it.", "raw_text": "And, like, I. I can be in charge of pulling all that in if we just, like, work together on, like, where to put it.", "start_time": 2790.19, "end_time": 2793.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 768, "text": "And then I'll also teach Reed enough to be able to go.", "raw_text": "And then I'll also teach Reed enough to be able to go.", "start_time": 2793.99, "end_time": 2796.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 769, "text": "And if we could get it to a spot of, like, those five coded artifacts or, like, if we get to a spot where, like, Reed can edit and add things to demos, I could just manage him and have him just, like, crank out videos and, like, do the rest.", "raw_text": "And if we could get it to a spot of, like, those five coded artifacts or, like, if we get to a spot where, like, Reed can edit and add things to demos, I could just manage him and have him just, like, crank out videos and, like, do the rest.", "start_time": 2796.63, "end_time": 2809.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 770, "text": "Plus, it's like, Reed's smart enough that, like, if we expect our business users to figure out, like, how to fully use it, like, Reed could do, like, that'd be a good, like, salt test.", "raw_text": "Plus, it's like, Reed's smart enough that, like, if we expect our business users to figure out, like, how to fully use it, like, Reed could do, like, that'd be a good, like, salt test.", "start_time": 2809.75, "end_time": 2817.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 771, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2817.45, "end_time": 2817.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 772, "text": "Okay.", "raw_text": "Okay.", "start_time": 2819.77, "end_time": 2820.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 773, "text": "So, yeah, I think we should set up meeting with Sam and Paul of those internal use cases.", "raw_text": "So, yeah, I think we should set up meeting with Sam and Paul of those internal use cases.", "start_time": 2823.13, "end_time": 2833.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 774, "text": "And I don't know if there's any data we can.", "raw_text": "And I don't know if there's any data we can.", "start_time": 2835.21, "end_time": 2837.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 775, "text": "Like, do you want me to just own that to save you guys time?", "raw_text": "Like, do you want me to just own that to save you guys time?", "start_time": 2837.13, "end_time": 2839.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 776, "text": "Or, like, do you want everyone in the room?", "raw_text": "Or, like, do you want everyone in the room?", "start_time": 2839.88, "end_time": 2841.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 777, "text": "Like, I could firefly that and come back.", "raw_text": "Like, I could firefly that and come back.", "start_time": 2841.16, "end_time": 2842.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 778, "text": "I think me and you should at least be in it.", "raw_text": "I think me and you should at least be in it.", "start_time": 2842.92, "end_time": 2844.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 779, "text": "And as time permits for Murph, it'd be good for him to be in there, but you want me to schedule it?", "raw_text": "And as time permits for Murph, it'd be good for him to be in there, but you want me to schedule it?", "start_time": 2844.64, "end_time": 2849.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 780, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2850.12, "end_time": 2850.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 781, "text": "All right.", "raw_text": "All right.", "start_time": 2850.76, "end_time": 2851.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 782, "text": "That works.", "raw_text": "That works.", "start_time": 2851.48, "end_time": 2852.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 783, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2853.559, "end_time": 2853.879, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 784, "text": "If you could schedule, that'd be great.", "raw_text": "If you could schedule, that'd be great.", "start_time": 2853.879, "end_time": 2855.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 785, "text": "And then I don't know how we holistically look at it, like, where we think we waste the most time.", "raw_text": "And then I don't know how we holistically look at it, like, where we think we waste the most time.", "start_time": 2855.8, "end_time": 2865.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 786, "text": "I think it's.", "raw_text": "I think it's.", "start_time": 2865.97, "end_time": 2866.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 787, "text": "Who's we?", "raw_text": "Who's we?", "start_time": 2868.37, "end_time": 2869.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 788, "text": "The whole company.", "raw_text": "The whole company.", "start_time": 2869.05, "end_time": 2869.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 789, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2870.13, "end_time": 2870.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 790, "text": "I think it's gonna vary based on, like, person.", "raw_text": "I think it's gonna vary based on, like, person.", "start_time": 2874.53, "end_time": 2876.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 791, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2877.65, "end_time": 2878.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 792, "text": "I feel like one thing for me that ends up taking a lot of time, it's not always good.", "raw_text": "I feel like one thing for me that ends up taking a lot of time, it's not always good.", "start_time": 2881.73, "end_time": 2886.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 793, "text": "Time is just.", "raw_text": "Time is just.", "start_time": 2886.49, "end_time": 2887.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 794, "text": "Is that, like, estimating stuff?", "raw_text": "Is that, like, estimating stuff?", "start_time": 2887.21, "end_time": 2889.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 795, "text": "Yeah, because those.", "raw_text": "Yeah, because those.", "start_time": 2890.43, "end_time": 2891.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 796, "text": "Those things always don't come to fruition.", "raw_text": "Those things always don't come to fruition.", "start_time": 2891.19, "end_time": 2892.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 797, "text": "A lot of times I could spend, like, half hour doing that, and then it's just a waste of time.", "raw_text": "A lot of times I could spend, like, half hour doing that, and then it's just a waste of time.", "start_time": 2893.71, "end_time": 2897.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 798, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2898.91, "end_time": 2899.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 799, "text": "Or like, the mock all.", "raw_text": "Or like, the mock all.", "start_time": 2899.39, "end_time": 2900.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 800, "text": "All the demos, but, like, you you also like me and Boomer talked about the other day, like he makes a good point of like, oh, you know, you invested 20 hours in this one deal but it's like really, you invested 100 hours into five deals in one hit.", "raw_text": "All the demos, but, like, you you also like me and Boomer talked about the other day, like he makes a good point of like, oh, you know, you invested 20 hours in this one deal but it's like really, you invested 100 hours into five deals in one hit.", "start_time": 2900.75, "end_time": 2914.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 801, "text": "So like you got.", "raw_text": "So like you got.", "start_time": 2914.07, "end_time": 2914.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 802, "text": "It's like the investment in all.", "raw_text": "It's like the investment in all.", "start_time": 2914.71, "end_time": 2916.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 803, "text": "So it's like you can't just say like, oh, these are all a waste.", "raw_text": "So it's like you can't just say like, oh, these are all a waste.", "start_time": 2916.19, "end_time": 2918.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 804, "text": "It's kind of like the overall like hit rate.", "raw_text": "It's kind of like the overall like hit rate.", "start_time": 2918.67, "end_time": 2920.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 805, "text": "The only other thing I think you should hit is stock two.", "raw_text": "The only other thing I think you should hit is stock two.", "start_time": 2922.87, "end_time": 2925.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 806, "text": "I don't even know.", "raw_text": "I don't even know.", "start_time": 2927.03, "end_time": 2927.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 807, "text": "Is Sock two like really a product based thing or is it like your whole company has to be Sock two?", "raw_text": "Is Sock two like really a product based thing or is it like your whole company has to be Sock two?", "start_time": 2927.95, "end_time": 2933.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 808, "text": "I don't even know the basics of it.", "raw_text": "I don't even know the basics of it.", "start_time": 2933.87, "end_time": 2935.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 809, "text": "I need to get what it comes to that.", "raw_text": "I need to get what it comes to that.", "start_time": 2936.07, "end_time": 2938.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 810, "text": "That I'm not sure reread about that.", "raw_text": "That I'm not sure reread about that.", "start_time": 2938.39, "end_time": 2941.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 811, "text": "I know you can't.", "raw_text": "I know you can't.", "start_time": 2941.59, "end_time": 2943.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 812, "text": "I thought you could have company wide sock 2 compliance.", "raw_text": "I thought you could have company wide sock 2 compliance.", "start_time": 2943.79, "end_time": 2946.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 813, "text": "But then there was product sock 2 compliance.", "raw_text": "But then there was product sock 2 compliance.", "start_time": 2946.11, "end_time": 2947.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 814, "text": "We can ask our cross com buddy.", "raw_text": "We can ask our cross com buddy.", "start_time": 2947.79, "end_time": 2949.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 815, "text": "They just got sucked too.", "raw_text": "They just got sucked too.", "start_time": 2949.71, "end_time": 2950.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 816, "text": "Like you know, get compliant in 15 hours.", "raw_text": "Like you know, get compliant in 15 hours.", "start_time": 2957.15, "end_time": 2959.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 817, "text": "Hell yeah.", "raw_text": "Hell yeah.", "start_time": 2960.51, "end_time": 2961.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 818, "text": "I think we should just kick off delve or Vanta or whatever and just.", "raw_text": "I think we should just kick off delve or Vanta or whatever and just.", "start_time": 2962.67, "end_time": 2966.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 819, "text": "Oh yeah, go for it.", "raw_text": "Oh yeah, go for it.", "start_time": 2966.07, "end_time": 2967.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 820, "text": "Like voluntary odd based framework.", "raw_text": "Like voluntary odd based framework.", "start_time": 2967.31, "end_time": 2969.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 821, "text": "So yeah, you can do it.", "raw_text": "So yeah, you can do it.", "start_time": 2969.35, "end_time": 2970.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 822, "text": "SAS cloud providers and technology platform.", "raw_text": "SAS cloud providers and technology platform.", "start_time": 2970.19, "end_time": 2972.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 823, "text": "There's like different versions.", "raw_text": "There's like different versions.", "start_time": 2972.87, "end_time": 2973.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 824, "text": "We definitely need to have that strategy meeting though because I, I feel like that like if we're giving out the code or how we want to handle deployments and like how we're going to group our hours and like the stuff we were talking about.", "raw_text": "We definitely need to have that strategy meeting though because I, I feel like that like if we're giving out the code or how we want to handle deployments and like how we're going to group our hours and like the stuff we were talking about.", "start_time": 2976.12, "end_time": 2986.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 825, "text": "We probably want to talk about that soon.", "raw_text": "We probably want to talk about that soon.", "start_time": 2986.24, "end_time": 2987.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 826, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2988.2, "end_time": 2988.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 827, "text": "Next week.", "raw_text": "Next week.", "start_time": 2989.64, "end_time": 2990.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 828, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2990.84, "end_time": 2991.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 829, "text": "Can we just schedule it or.", "raw_text": "Can we just schedule it or.", "start_time": 2993.64, "end_time": 2995, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 830, "text": "I'll schedule it.", "raw_text": "I'll schedule it.", "start_time": 2995.24, "end_time": 2996.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 831, "text": "So what else did we say?", "raw_text": "So what else did we say?", "start_time": 2998.28, "end_time": 2999.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 832, "text": "Things we're going to focus on immediately.", "raw_text": "Things we're going to focus on immediately.", "start_time": 2999.44, "end_time": 3001.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 833, "text": "That deployment stuff on the board.", "raw_text": "That deployment stuff on the board.", "start_time": 3002.11, "end_time": 3003.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 834, "text": "He said workflow.", "raw_text": "He said workflow.", "start_time": 3003.55, "end_time": 3004.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 835, "text": "Workflow builder.", "raw_text": "Workflow builder.", "start_time": 3004.75, "end_time": 3005.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 836, "text": "You want to do some cleanup on one tenant for instance, or do we leave it be and just hunt that?", "raw_text": "You want to do some cleanup on one tenant for instance, or do we leave it be and just hunt that?", "start_time": 3005.87, "end_time": 3011.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 837, "text": "We'll operate that way.", "raw_text": "We'll operate that way.", "start_time": 3014.59, "end_time": 3015.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 838, "text": "But yeah, we'll operate that way.", "raw_text": "But yeah, we'll operate that way.", "start_time": 3015.95, "end_time": 3017.669, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 839, "text": "I'll do some.", "raw_text": "I'll do some.", "start_time": 3017.669, "end_time": 3018.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 840, "text": "I'll see how hard it's going to be to tear it out.", "raw_text": "I'll see how hard it's going to be to tear it out.", "start_time": 3018.35, "end_time": 3020.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 841, "text": "Okay.", "raw_text": "Okay.", "start_time": 3020.19, "end_time": 3020.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 842, "text": "We're going to leave off how it is like duped up right now is fine.", "raw_text": "We're going to leave off how it is like duped up right now is fine.", "start_time": 3022.19, "end_time": 3025.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 843, "text": "We were going to look to see do we need.", "raw_text": "We were going to look to see do we need.", "start_time": 3029.8, "end_time": 3031.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 844, "text": "We need some brain trust work for Safeguard.", "raw_text": "We need some brain trust work for Safeguard.", "start_time": 3031.24, "end_time": 3034.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 845, "text": "Oh yeah, Brain trust for the work this stuff.", "raw_text": "Oh yeah, Brain trust for the work this stuff.", "start_time": 3035.4, "end_time": 3040.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 846, "text": "And then like future would be like agent node.", "raw_text": "And then like future would be like agent node.", "start_time": 3042.52, "end_time": 3044.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 847, "text": "But I think that could be a future state log.", "raw_text": "But I think that could be a future state log.", "start_time": 3045.08, "end_time": 3048.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 848, "text": "I think there's like getting into the open cloud node for devs.", "raw_text": "I think there's like getting into the open cloud node for devs.", "start_time": 3049.88, "end_time": 3054.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 849, "text": "If we literally had like an agent per project that was just like open fall.", "raw_text": "If we literally had like an agent per project that was just like open fall.", "start_time": 3055.25, "end_time": 3062.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 850, "text": "I'm behind this 100% and we just gave it the data platform scoped to like only that.", "raw_text": "I'm behind this 100% and we just gave it the data platform scoped to like only that.", "start_time": 3063.65, "end_time": 3071.409, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 851, "text": "Yes, I'm serious.", "raw_text": "Yes, I'm serious.", "start_time": 3072.37, "end_time": 3075.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 852, "text": "Well, I'm so curious.", "raw_text": "Well, I'm so curious.", "start_time": 3075.73, "end_time": 3077.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 853, "text": "So these virtual sandboxes, can we just set up a.", "raw_text": "So these virtual sandboxes, can we just set up a.", "start_time": 3077.49, "end_time": 3081.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 854, "text": "A sandbox for each client?", "raw_text": "A sandbox for each client?", "start_time": 3081.43, "end_time": 3083.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 855, "text": "Yeah, you could and we can just save it.", "raw_text": "Yeah, you could and we can just save it.", "start_time": 3084.07, "end_time": 3086.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 856, "text": "So like think of if we had that node in Workflow Builder.", "raw_text": "So like think of if we had that node in Workflow Builder.", "start_time": 3086.11, "end_time": 3089.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 857, "text": "The only time like you would talk to OpenClaw, right.", "raw_text": "The only time like you would talk to OpenClaw, right.", "start_time": 3090.31, "end_time": 3093.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 858, "text": "By sending a message.", "raw_text": "By sending a message.", "start_time": 3093.63, "end_time": 3095.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 859, "text": "So you just.", "raw_text": "So you just.", "start_time": 3095.51, "end_time": 3096.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 860, "text": "It's just a web API and anytime it hits it, it turns on that sandbox and then does what it needs to do and then shuts it down.", "raw_text": "It's just a web API and anytime it hits it, it turns on that sandbox and then does what it needs to do and then shuts it down.", "start_time": 3097.189, "end_time": 3104.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 861, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3104.79, "end_time": 3105.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 862, "text": "I think we need like any email forwarding cap.", "raw_text": "I think we need like any email forwarding cap.", "start_time": 3105.27, "end_time": 3108.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 863, "text": "I guess having it like Foundation Moreland should have like an email you can forward to.", "raw_text": "I guess having it like Foundation Moreland should have like an email you can forward to.", "start_time": 3108.4, "end_time": 3113.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 864, "text": "We have to do that.", "raw_text": "We have to do that.", "start_time": 3114.88, "end_time": 3115.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 865, "text": "Email.", "raw_text": "Email.", "start_time": 3115.76, "end_time": 3116.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 866, "text": "Yeah, if we want.", "raw_text": "Yeah, if we want.", "start_time": 3116.08, "end_time": 3116.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 867, "text": "The worst thing of my day is emails.", "raw_text": "The worst thing of my day is emails.", "start_time": 3116.76, "end_time": 3118.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 868, "text": "I cannot stand even.", "raw_text": "I cannot stand even.", "start_time": 3118.52, "end_time": 3119.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 869, "text": "I don't know if email supported.", "raw_text": "I don't know if email supported.", "start_time": 3119.68, "end_time": 3121.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 870, "text": "But did you see that chat SDK universal release where like you can use Slack?", "raw_text": "But did you see that chat SDK universal release where like you can use Slack?", "start_time": 3121.16, "end_time": 3125.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 871, "text": "That thing would be sick.", "raw_text": "That thing would be sick.", "start_time": 3127.2, "end_time": 3128.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 872, "text": "I'm gonna put that as the back bug Chat SDK.", "raw_text": "I'm gonna put that as the back bug Chat SDK.", "start_time": 3128.32, "end_time": 3131.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 873, "text": "Like, can we just like.", "raw_text": "Like, can we just like.", "start_time": 3132.41, "end_time": 3133.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 874, "text": "Yeah, could we just integrate with that now like in Slack at Foundation?", "raw_text": "Yeah, could we just integrate with that now like in Slack at Foundation?", "start_time": 3135.29, "end_time": 3139.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 875, "text": "What was our last thing for so and so?", "raw_text": "What was our last thing for so and so?", "start_time": 3139.45, "end_time": 3142.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 876, "text": "What was our last quote for Safeguard?", "raw_text": "What was our last quote for Safeguard?", "start_time": 3143.69, "end_time": 3145.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 877, "text": "Oh yeah, I guessed it there.", "raw_text": "Oh yeah, I guessed it there.", "start_time": 3148.73, "end_time": 3151.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 878, "text": "Yeah, that's.", "raw_text": "Yeah, that's.", "start_time": 3152.73, "end_time": 3153.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 879, "text": "That's so I've been re.", "raw_text": "That's so I've been re.", "start_time": 3153.45, "end_time": 3154.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 880, "text": "That if we.", "raw_text": "That if we.", "start_time": 3155.05, "end_time": 3155.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 881, "text": "We gotta control where that goes.", "raw_text": "We gotta control where that goes.", "start_time": 3156.25, "end_time": 3157.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 882, "text": "That's like.", "raw_text": "That's like.", "start_time": 3157.61, "end_time": 3158.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 883, "text": "Talk about like the RBAC stuff or there.", "raw_text": "Talk about like the RBAC stuff or there.", "start_time": 3158.09, "end_time": 3159.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 884, "text": "There's a lot of like.", "raw_text": "There's a lot of like.", "start_time": 3159.81, "end_time": 3160.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 885, "text": "It's like everyone's gonna be able to hit that.", "raw_text": "It's like everyone's gonna be able to hit that.", "start_time": 3161.61, "end_time": 3163.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 886, "text": "So I just did.", "raw_text": "So I just did.", "start_time": 3163.93, "end_time": 3164.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 887, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3166.41, "end_time": 3166.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 888, "text": "Give me one second.", "raw_text": "Give me one second.", "start_time": 3166.97, "end_time": 3167.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 889, "text": "I gotta show you something.", "raw_text": "I gotta show you something.", "start_time": 3167.85, "end_time": 3168.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 890, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 3168.85, "end_time": 3169.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 891, "text": "So I don't know if you saw this yet.", "raw_text": "So I don't know if you saw this yet.", "start_time": 3170.25, "end_time": 3171.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 892, "text": "That was Postman business.", "raw_text": "That was Postman business.", "start_time": 3185.05, "end_time": 3186.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 893, "text": "Postman sucks.", "raw_text": "Postman sucks.", "start_time": 3186.49, "end_time": 3187.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 894, "text": "I think they probably cooked.", "raw_text": "I think they probably cooked.", "start_time": 3188.25, "end_time": 3189.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 895, "text": "So.", "raw_text": "So.", "start_time": 3191.91, "end_time": 3192.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 896, "text": "Make a new post, man.", "raw_text": "Make a new post, man.", "start_time": 3192.07, "end_time": 3193.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 897, "text": "Yeah, I think more and more of our strategy is like we should just build the out of stuff using AI show people.", "raw_text": "Yeah, I think more and more of our strategy is like we should just build the out of stuff using AI show people.", "start_time": 3195.27, "end_time": 3205.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 898, "text": "And then we gotta figure out how to just become like.", "raw_text": "And then we gotta figure out how to just become like.", "start_time": 3205.75, "end_time": 3208.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 899, "text": "And you just keep paying like managed services plus or something like that.", "raw_text": "And you just keep paying like managed services plus or something like that.", "start_time": 3208.95, "end_time": 3214.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 900, "text": "Like to make AI really work like you do need to.", "raw_text": "Like to make AI really work like you do need to.", "start_time": 3214.95, "end_time": 3218.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 901, "text": "We'll keep it up and running and hosting it, but it's like you also pay us a retainer of 2k a month or something.", "raw_text": "We'll keep it up and running and hosting it, but it's like you also pay us a retainer of 2k a month or something.", "start_time": 3218.74, "end_time": 3224.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 902, "text": "Or maybe even more.", "raw_text": "Or maybe even more.", "start_time": 3226.26, "end_time": 3227.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 903, "text": "Like 10k would just be your AI partner.", "raw_text": "Like 10k would just be your AI partner.", "start_time": 3227.26, "end_time": 3229.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 904, "text": "It's like the FTE thing, but we got rebranded.", "raw_text": "It's like the FTE thing, but we got rebranded.", "start_time": 3230.82, "end_time": 3234.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 905, "text": "Yeah, I think you figure out that term because if you look at it, things are just moving so damn fast.", "raw_text": "Yeah, I think you figure out that term because if you look at it, things are just moving so damn fast.", "start_time": 3236.1, "end_time": 3242.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 906, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3244.92, "end_time": 3245.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 907, "text": "Like think if you.", "raw_text": "Like think if you.", "start_time": 3245.12, "end_time": 3245.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 908, "text": "If you're not us.", "raw_text": "If you're not us.", "start_time": 3246.28, "end_time": 3247.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 909, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3247.64, "end_time": 3248.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 910, "text": "If you're another company and you look at the AI landscape every week, it's different.", "raw_text": "If you're another company and you look at the AI landscape every week, it's different.", "start_time": 3248.04, "end_time": 3251.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 911, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3251.72, "end_time": 3252.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 912, "text": "Like it would be impossible to keep up with this.", "raw_text": "Like it would be impossible to keep up with this.", "start_time": 3252.28, "end_time": 3254.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 913, "text": "So like we're essentially saying we do that for you.", "raw_text": "So like we're essentially saying we do that for you.", "start_time": 3254.36, "end_time": 3258.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 914, "text": "Right.", "raw_text": "Right.", "start_time": 3258.04, "end_time": 3258.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 915, "text": "And we actually get.", "raw_text": "And we actually get.", "start_time": 3258.36, "end_time": 3259.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 916, "text": "We know what actually works but doesn't.", "raw_text": "We know what actually works but doesn't.", "start_time": 3259.4, "end_time": 3261.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 917, "text": "The first chat message might be just be like a. Pasted the wrong thing in there chat.", "raw_text": "The first chat message might be just be like a. Pasted the wrong thing in there chat.", "start_time": 3265.32, "end_time": 3276.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 918, "text": "Let's go.", "raw_text": "Let's go.", "start_time": 3278.77, "end_time": 3279.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 919, "text": "Sure.", "raw_text": "Sure.", "start_time": 3282.69, "end_time": 3283.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 920, "text": "Also has anyone seen this library portless from Vercel?", "raw_text": "Also has anyone seen this library portless from Vercel?", "start_time": 3283.97, "end_time": 3287.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 921, "text": "No.", "raw_text": "No.", "start_time": 3289.17, "end_time": 3289.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 922, "text": "It's pretty.", "raw_text": "It's pretty.", "start_time": 3290.05, "end_time": 3290.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 923, "text": "So this comes from the MCP.", "raw_text": "So this comes from the MCP.", "start_time": 3292.29, "end_time": 3294.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 924, "text": "The SQLs demand analysis should show you what it looks like too.", "raw_text": "The SQLs demand analysis should show you what it looks like too.", "start_time": 3295.01, "end_time": 3301.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 925, "text": "And you could do this in Claude as well.", "raw_text": "And you could do this in Claude as well.", "start_time": 3303.65, "end_time": 3305.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 926, "text": "So this is the stuff that Sam's building out that we've got to pull into here because this is just like basically says like use the Q query queue.", "raw_text": "So this is the stuff that Sam's building out that we've got to pull into here because this is just like basically says like use the Q query queue.", "start_time": 3307.73, "end_time": 3320.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 927, "text": "Yeah there's important joins.", "raw_text": "Yeah there's important joins.", "start_time": 3321.35, "end_time": 3322.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 928, "text": "Here's the main queries you should run.", "raw_text": "Here's the main queries you should run.", "start_time": 3322.79, "end_time": 3324.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 929, "text": "Here's how you analyze it.", "raw_text": "Here's how you analyze it.", "start_time": 3325.75, "end_time": 3327.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 930, "text": "Key concepts safe like project life cycle.", "raw_text": "Key concepts safe like project life cycle.", "start_time": 3327.83, "end_time": 3330.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 931, "text": "Like this is all like the context sops that live inside someone's head that ties like it's like a stored procedure using the cube essentially in natural language Revenue analysis.", "raw_text": "Like this is all like the context sops that live inside someone's head that ties like it's like a stored procedure using the cube essentially in natural language Revenue analysis.", "start_time": 3332.31, "end_time": 3342.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 932, "text": "Ray said let's cancel the meeting today epic.", "raw_text": "Ray said let's cancel the meeting today epic.", "start_time": 3347.2, "end_time": 3349.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 933, "text": "Starts running all the queries.", "raw_text": "Starts running all the queries.", "start_time": 3358.08, "end_time": 3359.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 934, "text": "It's just repeatable And I could take this same MCP and put it in the vodka pod.", "raw_text": "It's just repeatable And I could take this same MCP and put it in the vodka pod.", "start_time": 3360.16, "end_time": 3364.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 935, "text": "Yeah Know what that means?", "raw_text": "Yeah Know what that means?", "start_time": 3364.88, "end_time": 3368.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 936, "text": "We looking at right now our demand analysis tool.", "raw_text": "We looking at right now our demand analysis tool.", "start_time": 3372.17, "end_time": 3375.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 937, "text": "Then you get these things.", "raw_text": "Then you get these things.", "start_time": 3375.93, "end_time": 3377.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 938, "text": "When you're done with that can you ask how many billable hours all your employees had in January?", "raw_text": "When you're done with that can you ask how many billable hours all your employees had in January?", "start_time": 3380.09, "end_time": 3384.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 939, "text": "Yeah, I'm trying to debug that.", "raw_text": "Yeah, I'm trying to debug that.", "start_time": 3386.17, "end_time": 3388.129, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 940, "text": "I'll go curious if you also get the thing infosecs canceled so I can just do foundation.", "raw_text": "I'll go curious if you also get the thing infosecs canceled so I can just do foundation.", "start_time": 3388.129, "end_time": 3393.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 941, "text": "So like this would be if we get these queries right.", "raw_text": "So like this would be if we get these queries right.", "start_time": 3395.37, "end_time": 3398.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 942, "text": "I'm go lock my door.", "raw_text": "I'm go lock my door.", "start_time": 3398.57, "end_time": 3399.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 943, "text": "Tell me what you want me to do.", "raw_text": "Tell me what you want me to do.", "start_time": 3399.69, "end_time": 3400.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 944, "text": "I will.", "raw_text": "I will.", "start_time": 3406.16, "end_time": 3406.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}]
participant_count
5
participants
[{"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "nick.buzzy@morelandconnect.com", "name": null}, {"email": "caden.kacmarynski@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KKF7GYKDKV0M5CZ53ZP6AE05 | FOUNDATION walkthrough | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KKF7GYKDKV0M5CZ53ZP6AE05
title
FOUNDATION walkthrough
date
2026-03-13 19:30:00+00:00
duration_minutes
46
duration
46
transcript_url
https://app.fireflies.ai/view/01KKF7GYKDKV0M5CZ53ZP6AE05
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_NDhlZjEwMzItMmY3NC00MWUwLWFjZGUtZjcxMjVlZDUwNDA5@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"ff002609-f1ee-4781-9b66-bf0b60b34b11"}
short_summary
The team discussed the Foundation platform's workflow builder, which currently requires technical skills for modifications but aims to be user-friendly after further R&D. Key contributions included Mark Murphy's explanation of the workflow's editability and secure JavaScript execution. They outlined a production deployment strategy prioritizing client-managed AWS environments to simplify compliance and control. Approval for Projects 1 and 4 was confirmed, focusing on API integrations and visual client-facing workflows using React components. The enterprise licensing model was also discussed, granting clients workflow management and modification capabilities upon project deployment. The team emphasized a positive outlook based on previous delivery performance with clear goals for Project 1's completion.
action_items
"\\n**Scott Heller**\\nScott Heller and Safeguard team to share detailed API documentation for bids and damages for Project 1 by Monday (34:10)\\n\\n**Steve Goberish**\\nSteve Goberish to discuss deployment options and compliance concerns with Darren and report back on preferred Foundation environment (Vercel vs AWS) (27:20)\\n\\n**Michael Greenbaum**\\nMichael Greenbaum to review revised arrangement letters for Projects 2 and 3 over the weekend and provide approval or questions (38:40)\\n\\n**Paul Franke, Mark Murphy**\\nMoreland team (Paul Franke, Mark Murphy) to prepare Project 1 for deployment in Safeguard\\u2019s chosen environment post-agreement signing, including code modifications and workflow enhancements (39:30)\\n\\n**Moreland Team**\\nMoreland to prepare for the next phase: build and integrate Preserve AI workflows for access portal with visual output delivery (Project 4) following Project 1 completion (34:50)\\nMoreland to maintain support during two-week warranty period post-deployment and address immediate production issues (37:10)\\n\\n**Safeguard Team**\\nSafeguard to decide and communicate whether integration of Preserve AI portal is done in-house or within Safeguard Access system (35:45)\\n\\n**All Parties**\\nAll parties to coordinate for Monday\\u2019s call to finalize API handoffs and planning for Project 1 development milestones (33:50)\\n"
transcript_text
[{"index": 0, "text": "Hey Mike.", "raw_text": "Hey Mike.", "start_time": 3.68, "end_time": 4.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 1, "text": "Hey, Mike.", "raw_text": "Hey, Mike.", "start_time": 4.88, "end_time": 5.56, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 2, "text": "Hi, Steve.", "raw_text": "Hi, Steve.", "start_time": 5.56, "end_time": 6.28, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 3, "text": "Lisa.", "raw_text": "Lisa.", "start_time": 6.28, "end_time": 6.96, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 4, "text": "Hello.", "raw_text": "Hello.", "start_time": 7.2, "end_time": 7.68, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 5, "text": "Happy Friday.", "raw_text": "Happy Friday.", "start_time": 9.44, "end_time": 10.16, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 6, "text": "Thank you.", "raw_text": "Thank you.", "start_time": 11.04, "end_time": 11.6, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 7, "text": "Happy Friday.", "raw_text": "Happy Friday.", "start_time": 11.6, "end_time": 12.24, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 8, "text": "I think Scott lost power.", "raw_text": "I think Scott lost power.", "start_time": 14.32, "end_time": 15.64, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 9, "text": "I'm not sure if he's gonna be on by phone or just happen.", "raw_text": "I'm not sure if he's gonna be on by phone or just happen.", "start_time": 15.64, "end_time": 20.48, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 10, "text": "Hey, Steve, can you hear me?", "raw_text": "Hey, Steve, can you hear me?", "start_time": 21.84, "end_time": 23.36, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 11, "text": "What was that?", "raw_text": "What was that?", "start_time": 24.08, "end_time": 24.88, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 12, "text": "Can you hear me?", "raw_text": "Can you hear me?", "start_time": 25.69, "end_time": 26.41, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 13, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 26.65, "end_time": 27.13, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 14, "text": "Interesting.", "raw_text": "Interesting.", "start_time": 29.37, "end_time": 30.17, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 15, "text": "There he is.", "raw_text": "There he is.", "start_time": 30.33, "end_time": 31.21, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 16, "text": "Hey, Scott.", "raw_text": "Hey, Scott.", "start_time": 34.41, "end_time": 35.21, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 17, "text": "Hey guys, we got big agenda, big agenda today.", "raw_text": "Hey guys, we got big agenda, big agenda today.", "start_time": 36.41, "end_time": 39.53, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 18, "text": "I'm.", "raw_text": "I'm.", "start_time": 42.33, "end_time": 42.77, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 19, "text": "I'm powerless so I'm on my phone, so.", "raw_text": "I'm powerless so I'm on my phone, so.", "start_time": 42.77, "end_time": 45.81, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 20, "text": "Okay.", "raw_text": "Okay.", "start_time": 45.81, "end_time": 46.21, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 21, "text": "Don't be afraid with my camera on.", "raw_text": "Don't be afraid with my camera on.", "start_time": 46.21, "end_time": 47.77, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 22, "text": "Okay.", "raw_text": "Okay.", "start_time": 48.73, "end_time": 49.29, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 23, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 51.14, "end_time": 51.26, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 24, "text": "You're getting hit with these tornado sized winds out there.", "raw_text": "You're getting hit with these tornado sized winds out there.", "start_time": 51.26, "end_time": 54.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 25, "text": "It's, it's been crazy.", "raw_text": "It's, it's been crazy.", "start_time": 55.54, "end_time": 56.9, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 26, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 56.98, "end_time": 57.46, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 27, "text": "My office is about to blow away right now.", "raw_text": "My office is about to blow away right now.", "start_time": 58.18, "end_time": 60.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 28, "text": "Yeah, I just drove back from, from an appointment and there were trees and telephone lines down.", "raw_text": "Yeah, I just drove back from, from an appointment and there were trees and telephone lines down.", "start_time": 62.34, "end_time": 67.86, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 29, "text": "Mark, congratulations.", "raw_text": "Mark, congratulations.", "start_time": 71.62, "end_time": 73.06, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 30, "text": "Oh yeah, Mark.", "raw_text": "Oh yeah, Mark.", "start_time": 74.18, "end_time": 75.06, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 31, "text": "Thank you, Lisa.", "raw_text": "Thank you, Lisa.", "start_time": 75.22, "end_time": 76.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 32, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 76.02, "end_time": 76.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 33, "text": "Welcome back, guys.", "raw_text": "Welcome back, guys.", "start_time": 76.26, "end_time": 77.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 34, "text": "Sorry.", "raw_text": "Sorry.", "start_time": 79.86, "end_time": 80.18, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 35, "text": "Mark's been drinking from the fire hose.", "raw_text": "Mark's been drinking from the fire hose.", "start_time": 80.18, "end_time": 81.94, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 36, "text": "Getting back up to speed.", "raw_text": "Getting back up to speed.", "start_time": 82.18, "end_time": 83.38, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 37, "text": "Trying, Trying to do my best.", "raw_text": "Trying, Trying to do my best.", "start_time": 85.46, "end_time": 86.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 38, "text": "Trying to do my best.", "raw_text": "Trying to do my best.", "start_time": 86.78, "end_time": 87.7, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 39, "text": "Shall we go ahead and dive in?", "raw_text": "Shall we go ahead and dive in?", "start_time": 88.58, "end_time": 89.94, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 40, "text": "Yes.", "raw_text": "Yes.", "start_time": 90.34, "end_time": 90.82, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 41, "text": "Okay, so the agenda we wanted to", "raw_text": "Okay, so the agenda we wanted to", "start_time": 91.46, "end_time": 94.54, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 42, "text": "cover", "raw_text": "cover", "start_time": 94.54, "end_time": 94.82, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 43, "text": "status of projects and statements of work and Sam can go through that.", "raw_text": "status of projects and statements of work and Sam can go through that.", "start_time": 96.74, "end_time": 102.9, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 44, "text": "I also wanted to set expectations on foundation, what is it, what is it not?", "raw_text": "I also wanted to set expectations on foundation, what is it, what is it not?", "start_time": 103.94, "end_time": 110.18, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 45, "text": "And then we can do the walkthrough with Mark and then the last thing is talk about production, deployment and some options there.", "raw_text": "And then we can do the walkthrough with Mark and then the last thing is talk about production, deployment and some options there.", "start_time": 110.66, "end_time": 124.98, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 46, "text": "Does that agenda work for you guys?", "raw_text": "Does that agenda work for you guys?", "start_time": 125.46, "end_time": 127.22, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 47, "text": "Yeah, if you don't mind just changing up sequence just a little bit, I would prefer to kind of get started with Mark.", "raw_text": "Yeah, if you don't mind just changing up sequence just a little bit, I would prefer to kind of get started with Mark.", "start_time": 128.02, "end_time": 132.9, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 48, "text": "Okay.", "raw_text": "Okay.", "start_time": 133.89, "end_time": 134.29, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 49, "text": "Or if you want to disappoint us on what is not foundations, if you want to kind of start there.", "raw_text": "Or if you want to disappoint us on what is not foundations, if you want to kind of start there.", "start_time": 135.57, "end_time": 140.37, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 50, "text": "I don't, I don't know what you want to say there, but we got a lot of our business processes kind of hinging on this project.", "raw_text": "I don't, I don't know what you want to say there, but we got a lot of our business processes kind of hinging on this project.", "start_time": 140.53, "end_time": 148.05, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 51, "text": "So what?", "raw_text": "So what?", "start_time": 148.85, "end_time": 149.85, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 52, "text": "Yeah, why don't you get started with that then, Paul?", "raw_text": "Yeah, why don't you get started with that then, Paul?", "start_time": 149.85, "end_time": 151.69, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 53, "text": "Yeah, I'll start with that.", "raw_text": "Yeah, I'll start with that.", "start_time": 151.69, "end_time": 153.25, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 54, "text": "So the solutions built in foundation are production deployable.", "raw_text": "So the solutions built in foundation are production deployable.", "start_time": 153.41, "end_time": 158.69, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 55, "text": "The one thing I just wanted to make clear is the workflow builder itself.", "raw_text": "The one thing I just wanted to make clear is the workflow builder itself.", "start_time": 159.6, "end_time": 165.6, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 56, "text": "The intention is for us to.", "raw_text": "The intention is for us to.", "start_time": 166.16, "end_time": 169.12, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 57, "text": "The goal is for that to be business user friendly.", "raw_text": "The goal is for that to be business user friendly.", "start_time": 169.28, "end_time": 173.44, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 58, "text": "It is not currently business user friendly.", "raw_text": "It is not currently business user friendly.", "start_time": 174.32, "end_time": 177.2, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 59, "text": "It does require someone with technical skills that knows how to modify and write code.", "raw_text": "It does require someone with technical skills that knows how to modify and write code.", "start_time": 177.2, "end_time": 184.96, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 60, "text": "Because when you see in the functions that are called, if you wanted to change things in some instances like you're looking at the code that's within that particular step, that's the current state.", "raw_text": "Because when you see in the functions that are called, if you wanted to change things in some instances like you're looking at the code that's within that particular step, that's the current state.", "start_time": 185.51, "end_time": 199.67, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 61, "text": "We have a couple R and D cycles to get through and we'll achieve business user friendly interface with workflow Builder.", "raw_text": "We have a couple R and D cycles to get through and we'll achieve business user friendly interface with workflow Builder.", "start_time": 199.83, "end_time": 212.24, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 62, "text": "We're just not at that point yet.", "raw_text": "We're just not at that point yet.", "start_time": 212.88, "end_time": 215.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 63, "text": "It still does require someone with, with technical skills to change something.", "raw_text": "It still does require someone with, with technical skills to change something.", "start_time": 215.92, "end_time": 220.88, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 64, "text": "Can you define that a little bit Further in, because we won't.", "raw_text": "Can you define that a little bit Further in, because we won't.", "start_time": 221.36, "end_time": 225.12, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 65, "text": "We don't have this code.", "raw_text": "We don't have this code.", "start_time": 225.12, "end_time": 226.4, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 66, "text": "It would be you guys that have to do that coding, Right?", "raw_text": "It would be you guys that have to do that coding, Right?", "start_time": 226.639, "end_time": 230.4, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 67, "text": "Go ahead, Mark.", "raw_text": "Go ahead, Mark.", "start_time": 235.04, "end_time": 235.84, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 68, "text": "I'll jump in here.", "raw_text": "I'll jump in here.", "start_time": 237.45, "end_time": 238.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 69, "text": "From the workflow builder standpoint, we now have it in.", "raw_text": "From the workflow builder standpoint, we now have it in.", "start_time": 238.17, "end_time": 242.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 70, "text": "In such a spot that all of the code for the workflow can be edited and modified in the workflow builder.", "raw_text": "In such a spot that all of the code for the workflow can be edited and modified in the workflow builder.", "start_time": 244.33, "end_time": 254.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 71, "text": "So you guys.", "raw_text": "So you guys.", "start_time": 254.81, "end_time": 255.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 72, "text": "We wouldn't have to push any updates.", "raw_text": "We wouldn't have to push any updates.", "start_time": 255.49, "end_time": 257.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 73, "text": "You guys can go in there and tweak stuff.", "raw_text": "You guys can go in there and tweak stuff.", "start_time": 257.09, "end_time": 259.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 74, "text": "You know, we.", "raw_text": "You know, we.", "start_time": 259.57, "end_time": 260.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 75, "text": "Okay.", "raw_text": "Okay.", "start_time": 260.17, "end_time": 260.73, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 76, "text": "And I'll get into some of that.", "raw_text": "And I'll get into some of that.", "start_time": 260.81, "end_time": 262.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 77, "text": "Perfect.", "raw_text": "Perfect.", "start_time": 262.96, "end_time": 263.32, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 78, "text": "When we walk through it.", "raw_text": "When we walk through it.", "start_time": 263.32, "end_time": 264.24, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 79, "text": "But the goal is to have, you", "raw_text": "But the goal is to have, you", "start_time": 264.24, "end_time": 266.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 80, "text": "know, as much autonomy there as possible for you guys.", "raw_text": "know, as much autonomy there as possible for you guys.", "start_time": 266.6, "end_time": 271.36, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 81, "text": "All right.", "raw_text": "All right.", "start_time": 271.6, "end_time": 272, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 82, "text": "Yep.", "raw_text": "Yep.", "start_time": 272, "end_time": 272.32, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 83, "text": "That's good.", "raw_text": "That's good.", "start_time": 272.32, "end_time": 272.76, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 84, "text": "Mark, when you say a few R and D cycles, Paul, how.", "raw_text": "Mark, when you say a few R and D cycles, Paul, how.", "start_time": 272.76, "end_time": 276.08, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 85, "text": "What is the time frame you're thinking of?", "raw_text": "What is the time frame you're thinking of?", "start_time": 276.16, "end_time": 278.48, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 86, "text": "Hey, do you guys mind if we just kind of hop into where Mark is?", "raw_text": "Hey, do you guys mind if we just kind of hop into where Mark is?", "start_time": 282.88, "end_time": 286.16, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 87, "text": "Because I think we're.", "raw_text": "Because I think we're.", "start_time": 286.16, "end_time": 286.96, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 88, "text": "I'm not sure how big of a bridge it's going to be for us, Lisa, here.", "raw_text": "I'm not sure how big of a bridge it's going to be for us, Lisa, here.", "start_time": 287.28, "end_time": 290.4, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 89, "text": "Like so.", "raw_text": "Like so.", "start_time": 290.79, "end_time": 292.15, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 90, "text": "But we can come back.", "raw_text": "But we can come back.", "start_time": 292.15, "end_time": 293.27, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 91, "text": "I could already tell Paul had a kind of a blank stare on him, so I'm not sure they have an answer to that one, but that's okay.", "raw_text": "I could already tell Paul had a kind of a blank stare on him, so I'm not sure they have an answer to that one, but that's okay.", "start_time": 293.27, "end_time": 300.67, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 92, "text": "Hey, Mark, can you just kind of walk us through?", "raw_text": "Hey, Mark, can you just kind of walk us through?", "start_time": 300.67, "end_time": 302.63, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 93, "text": "Yeah, we.", "raw_text": "Yeah, we.", "start_time": 302.79, "end_time": 303.51, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 94, "text": "We went through iteration there with Justin.", "raw_text": "We went through iteration there with Justin.", "start_time": 303.51, "end_time": 306.63, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 95, "text": "We had more questions and we.", "raw_text": "We had more questions and we.", "start_time": 307.51, "end_time": 309.51, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 96, "text": "We had resolution last time, so we all.", "raw_text": "We had resolution last time, so we all.", "start_time": 309.59, "end_time": 312.71, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 97, "text": "Yeah, we were all waiting for you to get back.", "raw_text": "Yeah, we were all waiting for you to get back.", "start_time": 312.71, "end_time": 314.87, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 98, "text": "Yes.", "raw_text": "Yes.", "start_time": 314.95, "end_time": 315.51, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 99, "text": "Yeah, I've been drinking from the fire hose, so I'm not sure where you guys landed and what Justin walked me through, but the iteration I'm going to show you guys today is an iteration of the workflow that we've talked through before that was largely in code and in the code repo that you guys couldn't modify if you wanted to.", "raw_text": "Yeah, I've been drinking from the fire hose, so I'm not sure where you guys landed and what Justin walked me through, but the iteration I'm going to show you guys today is an iteration of the workflow that we've talked through before that was largely in code and in the code repo that you guys couldn't modify if you wanted to.", "start_time": 316.24, "end_time": 341.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 100, "text": "Now, this all lives in the workflow builder and is accessible to modify, change as needed, add additional steps, things like that.", "raw_text": "Now, this all lives in the workflow builder and is accessible to modify, change as needed, add additional steps, things like that.", "start_time": 342, "end_time": 351.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 101, "text": "So with that being said, I'll kind of.", "raw_text": "So with that being said, I'll kind of.", "start_time": 354.52, "end_time": 357.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 102, "text": "I'll just walk through this workflow at a high level.", "raw_text": "I'll just walk through this workflow at a high level.", "start_time": 357.64, "end_time": 360.2, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 103, "text": "Can you guys see this?", "raw_text": "Can you guys see this?", "start_time": 360.36, "end_time": 361.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 104, "text": "All right, you want me to zoom in or anything or.", "raw_text": "All right, you want me to zoom in or anything or.", "start_time": 361.32, "end_time": 364.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 105, "text": "That's good.", "raw_text": "That's good.", "start_time": 365, "end_time": 365.64, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 106, "text": "I'll come to that.", "raw_text": "I'll come to that.", "start_time": 366.28, "end_time": 367.12, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 107, "text": "Here.", "raw_text": "Here.", "start_time": 367.12, "end_time": 367.4, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 108, "text": "So.", "raw_text": "So.", "start_time": 367.4, "end_time": 367.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 109, "text": "So our workflows, there's a few different trigger types, but for this one in particular, it's going to be kicked off with a web hook and with an order number property.", "raw_text": "So our workflows, there's a few different trigger types, but for this one in particular, it's going to be kicked off with a web hook and with an order number property.", "start_time": 370.87, "end_time": 380.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 110, "text": "So here's an example of a request that may come in for that.", "raw_text": "So here's an example of a request that may come in for that.", "start_time": 381.35, "end_time": 388.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 111, "text": "And then this is the same sub.", "raw_text": "And then this is the same sub.", "start_time": 388.35, "end_time": 390.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 112, "text": "Sub.", "raw_text": "Sub.", "start_time": 391.19, "end_time": 391.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 113, "text": "Vacant inspection workflow that we've talked through before.", "raw_text": "Vacant inspection workflow that we've talked through before.", "start_time": 391.55, "end_time": 394.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 114, "text": "Um, now you guys are going to be able to see some of the underpinnings of, and the dirty work that goes into the prompting and the actual", "raw_text": "Um, now you guys are going to be able to see some of the underpinnings of, and the dirty work that goes into the prompting and the actual", "start_time": 394.81, "end_time": 403.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 115, "text": "orchestration of this workflow.", "raw_text": "orchestration of this workflow.", "start_time": 404.09, "end_time": 405.85, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 116, "text": "But", "raw_text": "But", "start_time": 408.33, "end_time": 408.73, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 117, "text": "it all lives and breathes within this screen.", "raw_text": "it all lives and breathes within this screen.", "start_time": 410.49, "end_time": 413.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 118, "text": "Now I'll, I'll go ahead and kick", "raw_text": "Now I'll, I'll go ahead and kick", "start_time": 413.21, "end_time": 414.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 119, "text": "it off and we can kind of,", "raw_text": "it off and we can kind of,", "start_time": 414.77, "end_time": 416.01, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 120, "text": "I may just open the floor up to questions because I think it's easier", "raw_text": "I may just open the floor up to questions because I think it's easier", "start_time": 417.53, "end_time": 420.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 121, "text": "if you guys just ask questions and I can walk you through the various parts of it.", "raw_text": "if you guys just ask questions and I can walk you through the various parts of it.", "start_time": 420.21, "end_time": 423.61, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 122, "text": "But let me just kick off an example run here.", "raw_text": "But let me just kick off an example run here.", "start_time": 426.2, "end_time": 429.16, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 123, "text": "So imagine you guys are building this thing out and you want to test it.", "raw_text": "So imagine you guys are building this thing out and you want to test it.", "start_time": 434.84, "end_time": 439.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 124, "text": "You know, you have the ability to", "raw_text": "You know, you have the ability to", "start_time": 439.24, "end_time": 440.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 125, "text": "kind of test it as you go.", "raw_text": "kind of test it as you go.", "start_time": 440.64, "end_time": 442.36, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 126, "text": "So you'll see it doing the various things for the inspection workflow.", "raw_text": "So you'll see it doing the various things for the inspection workflow.", "start_time": 442.44, "end_time": 448.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 127, "text": "So we trigger it with.", "raw_text": "So we trigger it with.", "start_time": 448.36, "end_time": 450.77, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 128, "text": "Are those nodes that have the lightning bolt on at the yellow, are those tools that were defined outside of the workflow that you then brought into this workflow?", "raw_text": "Are those nodes that have the lightning bolt on at the yellow, are those tools that were defined outside of the workflow that you then brought into this workflow?", "start_time": 452.61, "end_time": 460.93, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 129, "text": "Yeah, so let me, let me actually", "raw_text": "Yeah, so let me, let me actually", "start_time": 462.69, "end_time": 464.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 130, "text": "click on one of these guys or let me click on a plus button up here.", "raw_text": "click on one of these guys or let me click on a plus button up here.", "start_time": 464.53, "end_time": 470.93, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 131, "text": "So we call these actions action or a node.", "raw_text": "So we call these actions action or a node.", "start_time": 471.01, "end_time": 475.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 132, "text": "And those actions or nodes can be of various forms.", "raw_text": "And those actions or nodes can be of various forms.", "start_time": 475.58, "end_time": 478.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 133, "text": "So these lightning bolt ones right here are HTTP requests.", "raw_text": "So these lightning bolt ones right here are HTTP requests.", "start_time": 479.58, "end_time": 484.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 134, "text": "So for, for you guys, you know, for when we need to fetch these order images, this should look very familiar, right?", "raw_text": "So for, for you guys, you know, for when we need to fetch these order images, this should look very familiar, right?", "start_time": 485.98, "end_time": 491.619, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 135, "text": "This is just hitting your guys's safeguard images endpoint with the order number that's passed in from the, the webhook node", "raw_text": "This is just hitting your guys's safeguard images endpoint with the order number that's passed in from the, the webhook node", "start_time": 491.619, "end_time": 499.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 136, "text": "and with your guys's account credentials for this credential type.", "raw_text": "and with your guys's account credentials for this credential type.", "start_time": 500.14, "end_time": 505.89, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 137, "text": "Okay.", "raw_text": "Okay.", "start_time": 507.81, "end_time": 508.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 138, "text": "And so these, we have a few different nodes available, node types available.", "raw_text": "And so these, we have a few different nodes available, node types available.", "start_time": 509.41, "end_time": 514.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 139, "text": "So you guys can do different things", "raw_text": "So you guys can do different things", "start_time": 515.25, "end_time": 516.85, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 140, "text": "for this workflow in particular.", "raw_text": "for this workflow in particular.", "start_time": 518.05, "end_time": 520.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 141, "text": "Let me just get that out of there.", "raw_text": "Let me just get that out of there.", "start_time": 520.93, "end_time": 522.37, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 142, "text": "We use the, the request nodes.", "raw_text": "We use the, the request nodes.", "start_time": 523.81, "end_time": 526.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 143, "text": "We use our, what we call our transform node and that's where code and stuff can actually be written.", "raw_text": "We use our, what we call our transform node and that's where code and stuff can actually be written.", "start_time": 526.86, "end_time": 534.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 144, "text": "And then we use this analyze images AI gateway node.", "raw_text": "And then we use this analyze images AI gateway node.", "start_time": 535.1, "end_time": 541.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 145, "text": "And so.", "raw_text": "And so.", "start_time": 544.14, "end_time": 544.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 146, "text": "Oh, sorry, go ahead, Scott.", "raw_text": "Oh, sorry, go ahead, Scott.", "start_time": 546.86, "end_time": 548.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 147, "text": "No, I was just gonna ask.", "raw_text": "No, I was just gonna ask.", "start_time": 549.1, "end_time": 550.26, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 148, "text": "I know that Paul mentioned like for the code blocks, you know, I guess and end state is that they're business like user friendly.", "raw_text": "I know that Paul mentioned like for the code blocks, you know, I guess and end state is that they're business like user friendly.", "start_time": 550.26, "end_time": 558.66, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 149, "text": "But if there's really a transformation happening in those blocks, isn't at the end of the day going to be code put into those nodes?", "raw_text": "But if there's really a transformation happening in those blocks, isn't at the end of the day going to be code put into those nodes?", "start_time": 558.9, "end_time": 566.9, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 150, "text": "Yeah, I think we like, we foresee a future where there's code running in the background for those nodes because that's ultimately how they're going to get operated on.", "raw_text": "Yeah, I think we like, we foresee a future where there's code running in the background for those nodes because that's ultimately how they're going to get operated on.", "start_time": 569.14, "end_time": 578.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 151, "text": "But the interface for them is a", "raw_text": "But the interface for them is a", "start_time": 579.38, "end_time": 581.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 152, "text": "little more, you know, free, free text, free language.", "raw_text": "little more, you know, free, free text, free language.", "start_time": 581.5, "end_time": 585.94, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 153, "text": "So you, you guys could define an input for a node.", "raw_text": "So you, you guys could define an input for a node.", "start_time": 586.42, "end_time": 590.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 154, "text": "Hey, we have an order number coming in or we have conditions coming in, and I want them to look like this coming out.", "raw_text": "Hey, we have an order number coming in or we have conditions coming in, and I want them to look like this coming out.", "start_time": 590.14, "end_time": 596.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 155, "text": "And you would just prompt it essentially.", "raw_text": "And you would just prompt it essentially.", "start_time": 596.98, "end_time": 599.299, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 156, "text": "And you don't, you don't care about the code.", "raw_text": "And you don't, you don't care about the code.", "start_time": 599.38, "end_time": 601.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 157, "text": "You just care that all your test cases pass.", "raw_text": "You just care that all your test cases pass.", "start_time": 601.82, "end_time": 603.7, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 158, "text": "So that's hopefully the future of it.", "raw_text": "So that's hopefully the future of it.", "start_time": 605.14, "end_time": 607.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 159, "text": "But right now it's.", "raw_text": "But right now it's.", "start_time": 607.62, "end_time": 608.46, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 160, "text": "It's code.", "raw_text": "It's code.", "start_time": 608.46, "end_time": 609.06, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 161, "text": "Got it.", "raw_text": "Got it.", "start_time": 610.33, "end_time": 610.69, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 162, "text": "Okay.", "raw_text": "Okay.", "start_time": 610.69, "end_time": 611.13, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 163, "text": "And let me, let me open up one of these things here so you guys can see what the heck we're actually talking about.", "raw_text": "And let me, let me open up one of these things here so you guys can see what the heck we're actually talking about.", "start_time": 611.77, "end_time": 617.21, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 164, "text": "So if I click on this, evaluate conditions here, you'll see on the right", "raw_text": "So if I click on this, evaluate conditions here, you'll see on the right", "start_time": 618.73, "end_time": 623.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 165, "text": "side, when you click on a node, you get all the details for that node.", "raw_text": "side, when you click on a node, you get all the details for that node.", "start_time": 623.29, "end_time": 626.97, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 166, "text": "So we define an input, and our input usually comes from the nodes above it.", "raw_text": "So we define an input, and our input usually comes from the nodes above it.", "start_time": 627.29, "end_time": 633.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 167, "text": "So we're getting the luggage data from the FetchOrder luggage endpoint.", "raw_text": "So we're getting the luggage data from the FetchOrder luggage endpoint.", "start_time": 633.93, "end_time": 639.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 168, "text": "We're getting the conditions from our conditions node up here, and then we're going to be able to use those inputs", "raw_text": "We're getting the conditions from our conditions node up here, and then we're going to be able to use those inputs", "start_time": 639.4, "end_time": 647.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 169, "text": "in this transformation logic.", "raw_text": "in this transformation logic.", "start_time": 648.12, "end_time": 649.96, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 170, "text": "So let me open up this guy.", "raw_text": "So let me open up this guy.", "start_time": 650.6, "end_time": 652.12, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 171, "text": "So the way these transform nodes run is we run all the code in an isolated sandbox with all, like, network", "raw_text": "So the way these transform nodes run is we run all the code in an isolated sandbox with all, like, network", "start_time": 653.24, "end_time": 661.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 172, "text": "activity disabled and we utilize JavaScript.", "raw_text": "activity disabled and we utilize JavaScript.", "start_time": 661.88, "end_time": 668.34, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 173, "text": "So everything that runs in here, even if you would do something wild or security concerns, whatever, like, it's, it's all safe and secure.", "raw_text": "So everything that runs in here, even if you would do something wild or security concerns, whatever, like, it's, it's all safe and secure.", "start_time": 668.42, "end_time": 678.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 174, "text": "They're primarily used to transform inputs and outputs.", "raw_text": "They're primarily used to transform inputs and outputs.", "start_time": 679.54, "end_time": 683.46, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 175, "text": "So this one's looking at all the incoming conditions and order data and translating", "raw_text": "So this one's looking at all the incoming conditions and order data and translating", "start_time": 684.18, "end_time": 689.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 176, "text": "them into conditions that the inspector found for that order.", "raw_text": "them into conditions that the inspector found for that order.", "start_time": 690.14, "end_time": 697.82, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 177, "text": "So I.", "raw_text": "So I.", "start_time": 698.54, "end_time": 699.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 178, "text": "We don't have to get into like the actual code.", "raw_text": "We don't have to get into like the actual code.", "start_time": 699.02, "end_time": 700.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 179, "text": "But you can see in here there's no.", "raw_text": "But you can see in here there's no.", "start_time": 700.82, "end_time": 702.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 180, "text": "That makes sense.", "raw_text": "That makes sense.", "start_time": 702.5, "end_time": 703.1, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 181, "text": "Yeah, we get it.", "raw_text": "Yeah, we get it.", "start_time": 703.26, "end_time": 704.22, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 182, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 704.539, "end_time": 704.939, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 183, "text": "Functions like ours, our APIs return Jason,", "raw_text": "Functions like ours, our APIs return Jason,", "start_time": 704.939, "end_time": 708.3, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 184, "text": "our APIs return JSON, a certain structure and, you know, to kind of like process it downstream, you need to transform it into a different shape or, you know, like filter stuff out.", "raw_text": "our APIs return JSON, a certain structure and, you know, to kind of like process it downstream, you need to transform it into a different shape or, you know, like filter stuff out.", "start_time": 708.86, "end_time": 717.94, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 185, "text": "So we get the concept.", "raw_text": "So we get the concept.", "start_time": 717.94, "end_time": 719.26, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 186, "text": "Yeah, so, and, and you can't call out to anything because there's no network available.", "raw_text": "Yeah, so, and, and you can't call out to anything because there's no network available.", "start_time": 719.98, "end_time": 724.22, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 187, "text": "Like, it's not going to go and do anything harmful.", "raw_text": "Like, it's not going to go and do anything harmful.", "start_time": 724.46, "end_time": 728.3, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 188, "text": "Right, Right.", "raw_text": "Right, Right.", "start_time": 728.38, "end_time": 729.9, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 189, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 729.9, "end_time": 730.259, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 190, "text": "Like you can't use fetch in here.", "raw_text": "Like you can't use fetch in here.", "start_time": 730.259, "end_time": 731.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 191, "text": "You can't.", "raw_text": "You can't.", "start_time": 731.78, "end_time": 732.46, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 192, "text": "Yeah, you're primarily getting that input object and then you're defining whatever object shape", "raw_text": "Yeah, you're primarily getting that input object and then you're defining whatever object shape", "start_time": 732.46, "end_time": 738.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 193, "text": "you want to come out of it.", "raw_text": "you want to come out of it.", "start_time": 738.02, "end_time": 739.02, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 194, "text": "You could also make these just as", "raw_text": "You could also make these just as", "start_time": 741.54, "end_time": 743.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 195, "text": "like your business logic nodes.", "raw_text": "like your business logic nodes.", "start_time": 743.02, "end_time": 744.82, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 196, "text": "Okay, gotcha.", "raw_text": "Okay, gotcha.", "start_time": 746.66, "end_time": 748.18, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 197, "text": "Hey, Mark.", "raw_text": "Hey, Mark.", "start_time": 748.26, "end_time": 748.9, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 198, "text": "So as we went, and you designed this specifically around like the 10, the 10 conditions that we wanted to detect off an interior inspection.", "raw_text": "So as we went, and you designed this specifically around like the 10, the 10 conditions that we wanted to detect off an interior inspection.", "start_time": 748.9, "end_time": 756.82, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 199, "text": "So we're hitting the Oracle tables.", "raw_text": "So we're hitting the Oracle tables.", "start_time": 757.22, "end_time": 759.02, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 200, "text": "We were going back, you know, getting the actual question key plus the output coming back and saying what was negative that the inspector said.", "raw_text": "We were going back, you know, getting the actual question key plus the output coming back and saying what was negative that the inspector said.", "start_time": 759.02, "end_time": 766.9, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 201, "text": "So as we want to kind of take that flow and then we want to use it in broader use cases.", "raw_text": "So as we want to kind of take that flow and then we want to use it in broader use cases.", "start_time": 767.06, "end_time": 772.8, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 202, "text": "Like I want to know if a property is in conveyance conditions.", "raw_text": "Like I want to know if a property is in conveyance conditions.", "start_time": 773.2, "end_time": 776.16, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 203, "text": "So Instead of just 10 things, now I'm looking at 74 things and I'm hitting, you know, a different table, probably the same table, just looking for different results.", "raw_text": "So Instead of just 10 things, now I'm looking at 74 things and I'm hitting, you know, a different table, probably the same table, just looking for different results.", "start_time": 776.16, "end_time": 785.44, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 204, "text": "So then I would just then kind of leave this exact same flow in place.", "raw_text": "So then I would just then kind of leave this exact same flow in place.", "start_time": 786.24, "end_time": 790.2, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 205, "text": "And then I'm just hopping back in to both the fetch and the actual transformation just to make sure I'm hitting the right place and that the specific elements are getting transformed correctly.", "raw_text": "And then I'm just hopping back in to both the fetch and the actual transformation just to make sure I'm hitting the right place and that the specific elements are getting transformed correctly.", "start_time": 790.2, "end_time": 801.84, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 206, "text": "Yeah, yeah, that's, that's correct.", "raw_text": "Yeah, yeah, that's, that's correct.", "start_time": 803.81, "end_time": 805.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 207, "text": "So I'm assuming it would be like a new workflow.", "raw_text": "So I'm assuming it would be like a new workflow.", "start_time": 805.45, "end_time": 807.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 208, "text": "So what?", "raw_text": "So what?", "start_time": 808.77, "end_time": 809.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 209, "text": "Yeah, what you can do and, and it's not, I don't think it's Paul", "raw_text": "Yeah, what you can do and, and it's not, I don't think it's Paul", "start_time": 809.21, "end_time": 813.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 210, "text": "enough to show up today, but we", "raw_text": "enough to show up today, but we", "start_time": 813.13, "end_time": 814.49, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 211, "text": "do have like a duplicate workflow functionality in the works.", "raw_text": "do have like a duplicate workflow functionality in the works.", "start_time": 814.49, "end_time": 818.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 212, "text": "And so what you would do is.", "raw_text": "And so what you would do is.", "start_time": 818.01, "end_time": 819.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 213, "text": "All right, hey, let me duplicate this sub bacon inspection workflow.", "raw_text": "All right, hey, let me duplicate this sub bacon inspection workflow.", "start_time": 819.25, "end_time": 823.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 214, "text": "And you'd have all the same nodes", "raw_text": "And you'd have all the same nodes", "start_time": 823.33, "end_time": 824.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 215, "text": "and business logic and then you can", "raw_text": "and business logic and then you can", "start_time": 824.85, "end_time": 826.33, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 216, "text": "go in there and, and change those as needed.", "raw_text": "go in there and, and change those as needed.", "start_time": 826.33, "end_time": 829.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 217, "text": "Okay, is that clean?", "raw_text": "Okay, is that clean?", "start_time": 831.5, "end_time": 835.06, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 218, "text": "Scott, Lisa, Steve.", "raw_text": "Scott, Lisa, Steve.", "start_time": 835.06, "end_time": 836.86, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 219, "text": "Yeah, that, that makes 100% sense.", "raw_text": "Yeah, that, that makes 100% sense.", "start_time": 837.1, "end_time": 839.58, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 220, "text": "Is there a concept of like, there's going to be blocks that we want to reuse across workflows?", "raw_text": "Is there a concept of like, there's going to be blocks that we want to reuse across workflows?", "start_time": 841.02, "end_time": 846.5, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 221, "text": "For example, like those HTTP calls that retrieve images and work order data?", "raw_text": "For example, like those HTTP calls that retrieve images and work order data?", "start_time": 846.5, "end_time": 851.5, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 222, "text": "Yep.", "raw_text": "Yep.", "start_time": 851.98, "end_time": 852.62, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 223, "text": "Is that something that we could define once and use across workflows?", "raw_text": "Is that something that we could define once and use across workflows?", "start_time": 852.7, "end_time": 859.07, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 224, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 860.59, "end_time": 861.03, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 225, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 861.03, "end_time": 861.35, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 226, "text": "So, right, so right now the way, the way it works is we have", "raw_text": "So, right, so right now the way, the way it works is we have", "start_time": 861.35, "end_time": 866.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 227, "text": "the request node and you can reuse that request node.", "raw_text": "the request node and you can reuse that request node.", "start_time": 866.35, "end_time": 869.07, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 228, "text": "We, we could technically, within the repository,", "raw_text": "We, we could technically, within the repository,", "start_time": 869.47, "end_time": 872.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 229, "text": "like, like essentially hard code those,", "raw_text": "like, like essentially hard code those,", "start_time": 872.67, "end_time": 876.19, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 230, "text": "those different requests or we've, we've talked about,", "raw_text": "those different requests or we've, we've talked about,", "start_time": 878.35, "end_time": 880.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 231, "text": "you know, a potential feature in the", "raw_text": "you know, a potential feature in the", "start_time": 881.23, "end_time": 882.59, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 232, "text": "future is like taking in an open", "raw_text": "future is like taking in an open", "start_time": 882.59, "end_time": 884.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 233, "text": "API spec and then you guys can just select from that spec.", "raw_text": "API spec and then you guys can just select from that spec.", "start_time": 885.02, "end_time": 888.62, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 234, "text": "But there's certainly avenues to that.", "raw_text": "But there's certainly avenues to that.", "start_time": 889.98, "end_time": 892.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 235, "text": "It's just not in the forefront right now.", "raw_text": "It's just not in the forefront right now.", "start_time": 892.38, "end_time": 894.54, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 236, "text": "Okay, that's fine.", "raw_text": "Okay, that's fine.", "start_time": 895.82, "end_time": 897.9, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 237, "text": "I don't know if we want to jump there right now, but one of the big selling points to us and foundations was that interactive mode where people are, you know, just directly interacting with the chats and more specifically the visual elements that come back from it.", "raw_text": "I don't know if we want to jump there right now, but one of the big selling points to us and foundations was that interactive mode where people are, you know, just directly interacting with the chats and more specifically the visual elements that come back from it.", "start_time": 899.34, "end_time": 914.02, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 238, "text": "Where does that fit into this whole life cycle?", "raw_text": "Where does that fit into this whole life cycle?", "start_time": 914.9, "end_time": 917.78, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 239, "text": "Yeah, so right now, here, let me", "raw_text": "Yeah, so right now, here, let me", "start_time": 919.86, "end_time": 924.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 240, "text": "get out of this.", "raw_text": "get out of this.", "start_time": 924.1, "end_time": 924.82, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 241, "text": "So right now, at least on this", "raw_text": "So right now, at least on this", "start_time": 927.14, "end_time": 929.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 242, "text": "instance of foundation,", "raw_text": "instance of foundation,", "start_time": 930.42, "end_time": 931.86, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 243, "text": "if you look at", "raw_text": "if you look at", "start_time": 933.7, "end_time": 934.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 244, "text": "this runs thing here.", "raw_text": "this runs thing here.", "start_time": 934.9, "end_time": 936.38, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 245, "text": "So this is the, the run I", "raw_text": "So this is the, the run I", "start_time": 936.38, "end_time": 938.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 246, "text": "just kicked off at the start of this meeting here.", "raw_text": "just kicked off at the start of this meeting here.", "start_time": 938.26, "end_time": 940.22, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 247, "text": "And so you can see all the", "raw_text": "And so you can see all the", "start_time": 941.58, "end_time": 942.82, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 248, "text": "different steps that took place and you", "raw_text": "different steps that took place and you", "start_time": 942.82, "end_time": 945.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 249, "text": "can go in and see first summary.", "raw_text": "can go in and see first summary.", "start_time": 945.26, "end_time": 948.86, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 250, "text": "You can see the input and output for each of these steps.", "raw_text": "You can see the input and output for each of these steps.", "start_time": 949.34, "end_time": 952.14, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 251, "text": "I shouldn't have clicked on that one.", "raw_text": "I shouldn't have clicked on that one.", "start_time": 952.86, "end_time": 954.02, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 252, "text": "That's going to be a really big one.", "raw_text": "That's going to be a really big one.", "start_time": 954.02, "end_time": 955.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 253, "text": "But this same format, you can run", "raw_text": "But this same format, you can run", "start_time": 958.06, "end_time": 962.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 254, "text": "and tag this workflow in the chat", "raw_text": "and tag this workflow in the chat", "start_time": 962.7, "end_time": 965.89, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 255, "text": "like we've seen before, and you'll see", "raw_text": "like we've seen before, and you'll see", "start_time": 966.13, "end_time": 968.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 256, "text": "the same results that way.", "raw_text": "the same results that way.", "start_time": 968.41, "end_time": 970.29, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 257, "text": "And you also have the ability to", "raw_text": "And you also have the ability to", "start_time": 971.41, "end_time": 973.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 258, "text": "define like a custom component for it and have it show the results that way.", "raw_text": "define like a custom component for it and have it show the results that way.", "start_time": 973.13, "end_time": 978.45, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 259, "text": "Mark, correct me if I'm wrong, but the way that we had visually shown this workflow running previously as we were building it in the pocket, was we created a custom visual component so that you could see here are the conditions that were found.", "raw_text": "Mark, correct me if I'm wrong, but the way that we had visually shown this workflow running previously as we were building it in the pocket, was we created a custom visual component so that you could see here are the conditions that were found.", "start_time": 982.05, "end_time": 1005.07, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 260, "text": "Here are the pictures associated with those conditions.", "raw_text": "Here are the pictures associated with those conditions.", "start_time": 1005.39, "end_time": 1008.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 261, "text": "So that was almost like we were using that is in the kind of iterative feedback process as we were building it.", "raw_text": "So that was almost like we were using that is in the kind of iterative feedback process as we were building it.", "start_time": 1008.99, "end_time": 1019.39, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 262, "text": "This is more.", "raw_text": "This is more.", "start_time": 1021.64, "end_time": 1022.36, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 263, "text": "You're running a process and you're just passing data to an endpoint.", "raw_text": "You're running a process and you're just passing data to an endpoint.", "start_time": 1022.44, "end_time": 1026.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 264, "text": "It's.", "raw_text": "It's.", "start_time": 1027.24, "end_time": 1027.8, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 265, "text": "But if you wanted to, if you wanted to have a human in the loop that could go in and look at.", "raw_text": "But if you wanted to, if you wanted to have a human in the loop that could go in and look at.", "start_time": 1028.68, "end_time": 1035.12, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 266, "text": "Okay, I see an order.", "raw_text": "Okay, I see an order.", "start_time": 1035.12, "end_time": 1037.16, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 267, "text": "I see it ran through this step.", "raw_text": "I see it ran through this step.", "start_time": 1037.48, "end_time": 1039.56, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 268, "text": "It identified conditions.", "raw_text": "It identified conditions.", "start_time": 1039.56, "end_time": 1041, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 269, "text": "Here are the pictures associated with that condition.", "raw_text": "Here are the pictures associated with that condition.", "start_time": 1041.48, "end_time": 1043.88, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 270, "text": "And you wanted someone to be able to, you know, manually approve or override, you could build that user interface into the workflow just like you saw initially.", "raw_text": "And you wanted someone to be able to, you know, manually approve or override, you could build that user interface into the workflow just like you saw initially.", "start_time": 1044.44, "end_time": 1060.29, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 271, "text": "Yeah, 1, 1, 100%.", "raw_text": "Yeah, 1, 1, 100%.", "start_time": 1061.49, "end_time": 1063.57, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 272, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1064.77, "end_time": 1065.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 273, "text": "Like we, we think of the workflow builder as you guys are trying to", "raw_text": "Like we, we think of the workflow builder as you guys are trying to", "start_time": 1065.13, "end_time": 1069.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 274, "text": "run these things autonomously, right?", "raw_text": "run these things autonomously, right?", "start_time": 1069.81, "end_time": 1073.17, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 275, "text": "Like you're trying to kick these off either manually, or you're trying to kick these off with a web hook, or you're trying to run them on a schedule.", "raw_text": "Like you're trying to kick these off either manually, or you're trying to kick these off with a web hook, or you're trying to run them on a schedule.", "start_time": 1073.17, "end_time": 1080.48, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 276, "text": "And then this, this output here is,", "raw_text": "And then this, this output here is,", "start_time": 1081.92, "end_time": 1084.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 277, "text": "is really what matters.", "raw_text": "is really what matters.", "start_time": 1084.72, "end_time": 1086.4, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 278, "text": "So in, in the chat, you know, this output matters because we're going to", "raw_text": "So in, in the chat, you know, this output matters because we're going to", "start_time": 1086.88, "end_time": 1091.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 279, "text": "use that output, pass it to a react component and show whatever visual stuff we want to show in the chat.", "raw_text": "use that output, pass it to a react component and show whatever visual stuff we want to show in the chat.", "start_time": 1091.36, "end_time": 1097.92, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 280, "text": "When we run this, you know, via webhook, this is the execution result we're going to save and post back to you guys, and then you guys can", "raw_text": "When we run this, you know, via webhook, this is the execution result we're going to save and post back to you guys, and then you guys can", "start_time": 1099.28, "end_time": 1106.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 281, "text": "do whatever you need in your systems with that output.", "raw_text": "do whatever you need in your systems with that output.", "start_time": 1106.41, "end_time": 1109.81, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 282, "text": "But yeah, there's.", "raw_text": "But yeah, there's.", "start_time": 1110.45, "end_time": 1111.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 283, "text": "To answer your question, Scott, there is the flexibility to both run it within the chat with the visual interface and", "raw_text": "To answer your question, Scott, there is the flexibility to both run it within the chat with the visual interface and", "start_time": 1111.29, "end_time": 1118.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 284, "text": "also in the workflow builder, that capability still exists.", "raw_text": "also in the workflow builder, that capability still exists.", "start_time": 1118.93, "end_time": 1122.53, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 285, "text": "So, like, for those react components that kind of pair up with the different nodes in the workflow, is that just in terms of us using foundations and licensing it, you guys thought how we", "raw_text": "So, like, for those react components that kind of pair up with the different nodes in the workflow, is that just in terms of us using foundations and licensing it, you guys thought how we", "start_time": 1124.45, "end_time": 1136.66, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 286, "text": "would, how we would go about do such a thing and, you know, add", "raw_text": "would, how we would go about do such a thing and, you know, add", "start_time": 1136.66, "end_time": 1140.74, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 287, "text": "in our own Custom components.", "raw_text": "in our own Custom components.", "start_time": 1140.74, "end_time": 1142.98, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 288, "text": "So, so right now those do live", "raw_text": "So, so right now those do live", "start_time": 1144.9, "end_time": 1147.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 289, "text": "within, in the code repository and you guys would be able to", "raw_text": "within, in the code repository and you guys would be able to", "start_time": 1147.1, "end_time": 1150.82, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 290, "text": "add new ones, edit new ones, and then", "raw_text": "add new ones, edit new ones, and then", "start_time": 1152.58, "end_time": 1155.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 291, "text": "like", "raw_text": "like", "start_time": 1156.96, "end_time": 1157.2, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 292, "text": "assign those to the given workflows that", "raw_text": "assign those to the given workflows that", "start_time": 1157.28, "end_time": 1159.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 293, "text": "you want to use them.", "raw_text": "you want to use them.", "start_time": 1159.36, "end_time": 1160.24, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 294, "text": "In an ideal world, you know, with some future R and D cycles, that's all done the same way that we", "raw_text": "In an ideal world, you know, with some future R and D cycles, that's all done the same way that we", "start_time": 1161.44, "end_time": 1168.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 295, "text": "do with this workflow where you guys don't have to go into the repo for that.", "raw_text": "do with this workflow where you guys don't have to go into the repo for that.", "start_time": 1168.64, "end_time": 1172.6, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 296, "text": "We, you can create a visual representation", "raw_text": "We, you can create a visual representation", "start_time": 1172.6, "end_time": 1176.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 297, "text": "of this workflow and save it right here and now and not have to do all that other stuff.", "raw_text": "of this workflow and save it right here and now and not have to do all that other stuff.", "start_time": 1177.04, "end_time": 1182.97, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 298, "text": "Okay.", "raw_text": "Okay.", "start_time": 1184.09, "end_time": 1184.65, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 299, "text": "Okay.", "raw_text": "Okay.", "start_time": 1184.97, "end_time": 1185.53, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 300, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1186.09, "end_time": 1186.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 301, "text": "And we, and we do have some POCs of that working internally.", "raw_text": "And we, and we do have some POCs of that working internally.", "start_time": 1186.45, "end_time": 1189.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 302, "text": "It's just not where we want to add it to the system quite yet.", "raw_text": "It's just not where we want to add it to the system quite yet.", "start_time": 1189.41, "end_time": 1194.57, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 303, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1195.77, "end_time": 1196.17, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 304, "text": "Hey Mark, just to kind of clarify like the use cases on it, so the scenario you talked about, which is webhook, which is going to be the input value, once we go through a process on an individual work order, it's going to go through this chain, it's going to do analysis, then it's going to generate a work order on the back end.", "raw_text": "Hey Mark, just to kind of clarify like the use cases on it, so the scenario you talked about, which is webhook, which is going to be the input value, once we go through a process on an individual work order, it's going to go through this chain, it's going to do analysis, then it's going to generate a work order on the back end.", "start_time": 1196.17, "end_time": 1213.99, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 305, "text": "That was the initial use case that we defined, which is fine.", "raw_text": "That was the initial use case that we defined, which is fine.", "start_time": 1214.07, "end_time": 1217.75, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 306, "text": "That is often not going to be the use case of this tool for us.", "raw_text": "That is often not going to be the use case of this tool for us.", "start_time": 1218.07, "end_time": 1221.75, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 307, "text": "Most of the, what we think about using this tool a lot for was the POC website that I designed, you know, that preserve AI, you know, where people are going to hit one of the three different things they absolutely need to receive back the visual indicators.", "raw_text": "Most of the, what we think about using this tool a lot for was the POC website that I designed, you know, that preserve AI, you know, where people are going to hit one of the three different things they absolutely need to receive back the visual indicators.", "start_time": 1222.07, "end_time": 1240.23, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 308, "text": "The.", "raw_text": "The.", "start_time": 1240.47, "end_time": 1240.87, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 309, "text": "This is what we found, this is what we discovered.", "raw_text": "This is what we found, this is what we discovered.", "start_time": 1241.29, "end_time": 1243.69, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 310, "text": "Yep.", "raw_text": "Yep.", "start_time": 1244.25, "end_time": 1244.77, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 311, "text": "One thing.", "raw_text": "One thing.", "start_time": 1244.77, "end_time": 1245.37, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 312, "text": "Second thing is we were going to use this to augment our audit processes.", "raw_text": "Second thing is we were going to use this to augment our audit processes.", "start_time": 1245.53, "end_time": 1248.97, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 313, "text": "You know, where we define, you know, all the input values that are coming in from our contractors.", "raw_text": "You know, where we define, you know, all the input values that are coming in from our contractors.", "start_time": 1249.13, "end_time": 1253.69, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 314, "text": "We would set the criteria that needs to get met on it.", "raw_text": "We would set the criteria that needs to get met on it.", "start_time": 1253.69, "end_time": 1257.57, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 315, "text": "And then what we would do is be presenting back to our auditors.", "raw_text": "And then what we would do is be presenting back to our auditors.", "start_time": 1257.57, "end_time": 1260.49, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 316, "text": "Here's the bids that are missing, here are the damages that are missing, here's the work order completeness assessment.", "raw_text": "Here's the bids that are missing, here are the damages that are missing, here's the work order completeness assessment.", "start_time": 1260.49, "end_time": 1266.97, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 317, "text": "So no, it's mostly a visual outcome that we're looking for just to be like really clear about it.", "raw_text": "So no, it's mostly a visual outcome that we're looking for just to be like really clear about it.", "start_time": 1267.44, "end_time": 1272.32, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 318, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1272.32, "end_time": 1272.8, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 319, "text": "Which is very similar to what you designed for phase one of the sub vacant process where you had what the inspector said was wrong.", "raw_text": "Which is very similar to what you designed for phase one of the sub vacant process where you had what the inspector said was wrong.", "start_time": 1273.04, "end_time": 1281.76, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 320, "text": "Then you had like the visual indicators, the individual photographs, you had the numbers right next to the actual photographs with the issues in red.", "raw_text": "Then you had like the visual indicators, the individual photographs, you had the numbers right next to the actual photographs with the issues in red.", "start_time": 1281.76, "end_time": 1289.92, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 321, "text": "Yep.", "raw_text": "Yep.", "start_time": 1290.48, "end_time": 1291.04, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 322, "text": "Okay.", "raw_text": "Okay.", "start_time": 1291.68, "end_time": 1292.24, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 323, "text": "So to, to speak, so to speak to that visual indicator portion and where", "raw_text": "So to, to speak, so to speak to that visual indicator portion and where", "start_time": 1292.89, "end_time": 1299.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 324, "text": "like foundation is positioned as, you know,", "raw_text": "like foundation is positioned as, you know,", "start_time": 1299.85, "end_time": 1302.53, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 325, "text": "think of, think of foundation as, you know, the, the, the centerpiece of that.", "raw_text": "think of, think of foundation as, you know, the, the, the centerpiece of that.", "start_time": 1302.53, "end_time": 1310.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 326, "text": "That's, that's facilitating the workflow but it's", "raw_text": "That's, that's facilitating the workflow but it's", "start_time": 1310.81, "end_time": 1313.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 327, "text": "not necessarily responsible for how it's how it's consumed outside of it.", "raw_text": "not necessarily responsible for how it's how it's consumed outside of it.", "start_time": 1313.89, "end_time": 1318.33, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 328, "text": "So for the example where in Preserve AI we're going to be adding a", "raw_text": "So for the example where in Preserve AI we're going to be adding a", "start_time": 1318.33, "end_time": 1322.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 329, "text": "client interface to kick these off, you", "raw_text": "client interface to kick these off, you", "start_time": 1322.88, "end_time": 1325.36, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 330, "text": "know, behind the scenes that's going to be hitting that webhook via an API", "raw_text": "know, behind the scenes that's going to be hitting that webhook via an API", "start_time": 1325.36, "end_time": 1330.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 331, "text": "once that user clicks a button.", "raw_text": "once that user clicks a button.", "start_time": 1330.12, "end_time": 1331.88, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 332, "text": "And then it's also going to be", "raw_text": "And then it's also going to be", "start_time": 1332.2, "end_time": 1333.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 333, "text": "using an API from Foundation to pull the results as they stream back.", "raw_text": "using an API from Foundation to pull the results as they stream back.", "start_time": 1333.6, "end_time": 1337.96, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 334, "text": "And then once you click into the", "raw_text": "And then once you click into the", "start_time": 1338.36, "end_time": 1340.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 335, "text": "detail page for that execution, you know,", "raw_text": "detail page for that execution, you know,", "start_time": 1340.32, "end_time": 1342.64, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 336, "text": "we'll be using this output object to facilitate that client component, that React component that gets shown.", "raw_text": "we'll be using this output object to facilitate that client component, that React component that gets shown.", "start_time": 1342.64, "end_time": 1350.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 337, "text": "But that's not necessarily outside of Foundation.", "raw_text": "But that's not necessarily outside of Foundation.", "start_time": 1350.84, "end_time": 1355.84, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 338, "text": "Foundation's responsibility to define that component that would be safe use responsibility to define,", "raw_text": "Foundation's responsibility to define that component that would be safe use responsibility to define,", "start_time": 1355.84, "end_time": 1362.12, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 339, "text": "hey, we have this output and all this data.", "raw_text": "hey, we have this output and all this data.", "start_time": 1362.76, "end_time": 1364.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 340, "text": "How do we want to show that in this client portal?", "raw_text": "How do we want to show that in this client portal?", "start_time": 1364.8, "end_time": 1367.92, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 341, "text": "Because that may be different than another", "raw_text": "Because that may be different than another", "start_time": 1367.92, "end_time": 1370.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 342, "text": "application you guys add to foundation that wants to use the same execution result and you, you could divvy it up a different way.", "raw_text": "application you guys add to foundation that wants to use the same execution result and you, you could divvy it up a different way.", "start_time": 1370.12, "end_time": 1377, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 343, "text": "Does that make sense?", "raw_text": "Does that make sense?", "start_time": 1379.48, "end_time": 1380.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 344, "text": "I mean, sort of.", "raw_text": "I mean, sort of.", "start_time": 1381.96, "end_time": 1382.96, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 345, "text": "I mean it's going to be dependent upon the assessment when the only thing I'm saying is we go back to the sub bacon flow and we had that visual tab.", "raw_text": "I mean it's going to be dependent upon the assessment when the only thing I'm saying is we go back to the sub bacon flow and we had that visual tab.", "start_time": 1382.96, "end_time": 1390.2, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 346, "text": "That's what I'm saying.", "raw_text": "That's what I'm saying.", "start_time": 1390.68, "end_time": 1391.52, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 347, "text": "It's like that's the stuff that's interesting to us.", "raw_text": "It's like that's the stuff that's interesting to us.", "start_time": 1391.52, "end_time": 1393.96, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 348, "text": "Like that's what I'm specifically saying.", "raw_text": "Like that's what I'm specifically saying.", "start_time": 1394.2, "end_time": 1396.28, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 349, "text": "If you're saying hey there's this react, you know, intermediary between the client and foundations, we definitively understand that.", "raw_text": "If you're saying hey there's this react, you know, intermediary between the client and foundations, we definitively understand that.", "start_time": 1396.36, "end_time": 1404.6, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 350, "text": "Yeah, but I'm just telling when the client gets the results back, they don't want just text based responses.", "raw_text": "Yeah, but I'm just telling when the client gets the results back, they don't want just text based responses.", "start_time": 1404.6, "end_time": 1410.58, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 351, "text": "They don't want to, oh I found in words, they want to see the photo, they want to see, you know, you know why it got flagged and stuff like that.", "raw_text": "They don't want to, oh I found in words, they want to see the photo, they want to see, you know, you know why it got flagged and stuff like that.", "start_time": 1410.58, "end_time": 1418.34, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 352, "text": "I just want to be that clear about it.", "raw_text": "I just want to be that clear about it.", "start_time": 1418.34, "end_time": 1419.86, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 353, "text": "So it is very simple.", "raw_text": "So it is very simple.", "start_time": 1419.86, "end_time": 1421.46, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 354, "text": "That's helpful, that's helpful for me Mike and it we just need to make sure it is a, it is a human in the loop type process where someone needs to see a visual and there may be some interaction that person.", "raw_text": "That's helpful, that's helpful for me Mike and it we just need to make sure it is a, it is a human in the loop type process where someone needs to see a visual and there may be some interaction that person.", "start_time": 1422.02, "end_time": 1437.47, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 355, "text": "There may be an approve or reject with comment or some step they take kicks it into a different step in the workflow based on a user input that is still in Foundation.", "raw_text": "There may be an approve or reject with comment or some step they take kicks it into a different step in the workflow based on a user input that is still in Foundation.", "start_time": 1439.47, "end_time": 1454.51, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 356, "text": "Just like you saw in the phase one visual where you had that visual representation of the actions that were occurring and being able to see this work order.", "raw_text": "Just like you saw in the phase one visual where you had that visual representation of the actions that were occurring and being able to see this work order.", "start_time": 1454.51, "end_time": 1469.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 357, "text": "These are the conditions found, these are the associated pictures that that capability is still there.", "raw_text": "These are the conditions found, these are the associated pictures that that capability is still there.", "start_time": 1469.94, "end_time": 1476.98, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 358, "text": "Okay, perfect.", "raw_text": "Okay, perfect.", "start_time": 1478.58, "end_time": 1479.54, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 359, "text": "Gotcha.", "raw_text": "Gotcha.", "start_time": 1480.1, "end_time": 1480.82, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 360, "text": "So gotcha Cool.", "raw_text": "So gotcha Cool.", "start_time": 1482.34, "end_time": 1484.18, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 361, "text": "So I don't know at a very high level, you guys have developed the system originally, I'm talking about phase one that didn't necessarily have nodes or anything, although it was just fine.", "raw_text": "So I don't know at a very high level, you guys have developed the system originally, I'm talking about phase one that didn't necessarily have nodes or anything, although it was just fine.", "start_time": 1484.18, "end_time": 1495.22, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 362, "text": "Good.", "raw_text": "Good.", "start_time": 1495.22, "end_time": 1495.58, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 363, "text": "The node whole thing.", "raw_text": "The node whole thing.", "start_time": 1495.74, "end_time": 1497.18, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 364, "text": "Now what you guys are coming back and saying is, hey, some of these nodes actually will require sounds like JavaScript or some form of code to do transformations.", "raw_text": "Now what you guys are coming back and saying is, hey, some of these nodes actually will require sounds like JavaScript or some form of code to do transformations.", "start_time": 1497.18, "end_time": 1507.5, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 365, "text": "We're like, okay, cool.", "raw_text": "We're like, okay, cool.", "start_time": 1508.14, "end_time": 1509.42, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 366, "text": "No big deal for us anyways.", "raw_text": "No big deal for us anyways.", "start_time": 1509.82, "end_time": 1511.9, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 367, "text": "So what are you guys thinking?", "raw_text": "So what are you guys thinking?", "start_time": 1513.42, "end_time": 1515.14, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 368, "text": "Is this where, where are we just in terms of it, you know, getting the same deployed and being able to clone this workflow and go design four other workflows off of it.", "raw_text": "Is this where, where are we just in terms of it, you know, getting the same deployed and being able to clone this workflow and go design four other workflows off of it.", "start_time": 1515.14, "end_time": 1525.4, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 369, "text": "So I, I know there are some.", "raw_text": "So I, I know there are some.", "start_time": 1528.2, "end_time": 1529.72, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 370, "text": "The, the phase one is including some additional components as we go to put it into production.", "raw_text": "The, the phase one is including some additional components as we go to put it into production.", "start_time": 1531, "end_time": 1538.6, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 371, "text": "I think the, the biggest question, Mike, to get this deployed into production is where are we putting it?", "raw_text": "I think the, the biggest question, Mike, to get this deployed into production is where are we putting it?", "start_time": 1539.24, "end_time": 1545.1, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 372, "text": "And so that brings us to the, the last bullet in on the agenda.", "raw_text": "And so that brings us to the, the last bullet in on the agenda.", "start_time": 1546.7, "end_time": 1553.02, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 373, "text": "If, if you want to go there, that's fine.", "raw_text": "If, if you want to go there, that's fine.", "start_time": 1553.66, "end_time": 1557.46, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 374, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1557.46, "end_time": 1557.98, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 375, "text": "So the, the red lines that came back on that agreement, we're not in a position to be able to, you know, sign up for all of the things that, that came back.", "raw_text": "So the, the red lines that came back on that agreement, we're not in a position to be able to, you know, sign up for all of the things that, that came back.", "start_time": 1557.98, "end_time": 1574.5, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 376, "text": "Getting all the requested certification, signing up for audits, including our own financial statements.", "raw_text": "Getting all the requested certification, signing up for audits, including our own financial statements.", "start_time": 1575.86, "end_time": 1581.22, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 377, "text": "We're not, we're not there yet.", "raw_text": "We're not, we're not there yet.", "start_time": 1583.78, "end_time": 1585.46, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 378, "text": "And so I want to have an open conversation of what is the easiest path for us to get this in production for you.", "raw_text": "And so I want to have an open conversation of what is the easiest path for us to get this in production for you.", "start_time": 1585.94, "end_time": 1593.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 379, "text": "And as we think through it, I think all of those sticking points just go away.", "raw_text": "And as we think through it, I think all of those sticking points just go away.", "start_time": 1593.94, "end_time": 1599.65, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 380, "text": "If we deployed this on your AWS environment and we maintained and managed it from there.", "raw_text": "If we deployed this on your AWS environment and we maintained and managed it from there.", "start_time": 1600.53, "end_time": 1608.21, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 381, "text": "Okay, gotcha.", "raw_text": "Okay, gotcha.", "start_time": 1610.53, "end_time": 1612.33, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 382, "text": "And what comes with that?", "raw_text": "And what comes with that?", "start_time": 1612.33, "end_time": 1613.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 383, "text": "Just deployment costs or transition costs to get it into our AWS environment.", "raw_text": "Just deployment costs or transition costs to get it into our AWS environment.", "start_time": 1613.45, "end_time": 1617.49, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 384, "text": "We,", "raw_text": "We,", "start_time": 1620.21, "end_time": 1620.61, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 385, "text": "we think that we can, with Project one and Project four, cover or getting it deployed in that environment.", "raw_text": "we think that we can, with Project one and Project four, cover or getting it deployed in that environment.", "start_time": 1623.98, "end_time": 1633.26, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 386, "text": "Okay, gotcha.", "raw_text": "Okay, gotcha.", "start_time": 1634.38, "end_time": 1636.14, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 387, "text": "Scott.", "raw_text": "Scott.", "start_time": 1636.38, "end_time": 1636.86, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 388, "text": "Steve, any problems with that?", "raw_text": "Steve, any problems with that?", "start_time": 1636.86, "end_time": 1639.42, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 389, "text": "I don't think there are.", "raw_text": "I don't think there are.", "start_time": 1641.1, "end_time": 1643.34, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 390, "text": "I know we had talked about, I mean there's a lot of third party things that you're using.", "raw_text": "I know we had talked about, I mean there's a lot of third party things that you're using.", "start_time": 1645.02, "end_time": 1649.59, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 391, "text": "So you would be converting those over into our aws?", "raw_text": "So you would be converting those over into our aws?", "start_time": 1649.99, "end_time": 1652.79, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 392, "text": "Or are you going to be still calling out to those third party systems, not talking about the AI part, but more like the database is living in another place.", "raw_text": "Or are you going to be still calling out to those third party systems, not talking about the AI part, but more like the database is living in another place.", "start_time": 1653.19, "end_time": 1665.67, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 393, "text": "And how would that all work?", "raw_text": "And how would that all work?", "start_time": 1665.75, "end_time": 1668.07, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 394, "text": "Yeah, I think there's, there's a couple", "raw_text": "Yeah, I think there's, there's a couple", "start_time": 1669.27, "end_time": 1671.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 395, "text": "ways to slice it.", "raw_text": "ways to slice it.", "start_time": 1671.75, "end_time": 1672.63, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 396, "text": "You know, we can, if we wanted to keep it on Versal, you know,", "raw_text": "You know, we can, if we wanted to keep it on Versal, you know,", "start_time": 1672.63, "end_time": 1677.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 397, "text": "we could stand up a Versal account for you guys and we isolate it", "raw_text": "we could stand up a Versal account for you guys and we isolate it", "start_time": 1677.77, "end_time": 1682.09, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 398, "text": "that way or we, we would do", "raw_text": "that way or we, we would do", "start_time": 1682.09, "end_time": 1686.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 399, "text": "it the AWS route where it's, it's truly isolated to Your guys cloud and we port those various things to work in that system.", "raw_text": "it the AWS route where it's, it's truly isolated to Your guys cloud and we port those various things to work in that system.", "start_time": 1686.45, "end_time": 1694.45, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 400, "text": "Okay.", "raw_text": "Okay.", "start_time": 1696.13, "end_time": 1696.69, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 401, "text": "So I, I think Mike, I'll just have to take that away and talk to Darren real quick and see what he thinks about Versal.", "raw_text": "So I, I think Mike, I'll just have to take that away and talk to Darren real quick and see what he thinks about Versal.", "start_time": 1696.69, "end_time": 1702.51, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 402, "text": "Just leaving it there but in our own version of it for.", "raw_text": "Just leaving it there but in our own version of it for.", "start_time": 1702.51, "end_time": 1707.79, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 403, "text": "I guess we're just talking about a short term thing, right?", "raw_text": "I guess we're just talking about a short term thing, right?", "start_time": 1708.67, "end_time": 1711.55, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 404, "text": "This isn't going to be the long term for foundations?", "raw_text": "This isn't going to be the long term for foundations?", "start_time": 1711.87, "end_time": 1714.67, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 405, "text": "Well, I think it is, yeah.", "raw_text": "Well, I think it is, yeah.", "start_time": 1716.19, "end_time": 1717.91, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 406, "text": "Long term.", "raw_text": "Long term.", "start_time": 1717.91, "end_time": 1718.51, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 407, "text": "Okay.", "raw_text": "Okay.", "start_time": 1718.59, "end_time": 1719.15, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 408, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1719.15, "end_time": 1720.91, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 409, "text": "What's wrong with it though?", "raw_text": "What's wrong with it though?", "start_time": 1721.31, "end_time": 1722.39, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 410, "text": "Just hosting on Versal.", "raw_text": "Just hosting on Versal.", "start_time": 1722.39, "end_time": 1723.63, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 411, "text": "Like do you know what our issue was?", "raw_text": "Like do you know what our issue was?", "start_time": 1723.63, "end_time": 1725.31, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 412, "text": "Aren't there multitrillion dollar entities that.", "raw_text": "Aren't there multitrillion dollar entities that.", "start_time": 1725.63, "end_time": 1728.35, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 413, "text": "I didn't think that there is any issue housing it in Versal.", "raw_text": "I didn't think that there is any issue housing it in Versal.", "start_time": 1729.97, "end_time": 1733.33, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 414, "text": "I think it was that they were going to house was the difference between if they're going to house it and maintain it or are we going to house it and maintain it and then what falls into the gray areas?", "raw_text": "I think it was that they were going to house was the difference between if they're going to house it and maintain it or are we going to house it and maintain it and then what falls into the gray areas?", "start_time": 1733.33, "end_time": 1748.37, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 415, "text": "What were the red lines?", "raw_text": "What were the red lines?", "start_time": 1749.25, "end_time": 1750.69, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 416, "text": "Yeah, no, we all, we put all kinds of lovely red lines together yet Darren and Wendy, that went to town.", "raw_text": "Yeah, no, we all, we put all kinds of lovely red lines together yet Darren and Wendy, that went to town.", "start_time": 1751.09, "end_time": 1757.33, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 417, "text": "So it was SOC2 requirements, it was audited financials.", "raw_text": "So it was SOC2 requirements, it was audited financials.", "start_time": 1758.29, "end_time": 1762.31, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 418, "text": "It was everything our clients require of us.", "raw_text": "It was everything our clients require of us.", "start_time": 1762.31, "end_time": 1765.75, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 419, "text": "So.", "raw_text": "So.", "start_time": 1766.23, "end_time": 1766.63, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 420, "text": "Yeah, anyways, let's just have a conversation.", "raw_text": "Yeah, anyways, let's just have a conversation.", "start_time": 1766.95, "end_time": 1770.15, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 421, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1770.23, "end_time": 1770.99, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 422, "text": "Let me take it back to Darren, Mike, because we went like three different routes on this and if this is the route that we're going to go, then I'll direct the conversation more that way.", "raw_text": "Let me take it back to Darren, Mike, because we went like three different routes on this and if this is the route that we're going to go, then I'll direct the conversation more that way.", "start_time": 1770.99, "end_time": 1781.11, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 423, "text": "Yeah, that sounds good.", "raw_text": "Yeah, that sounds good.", "start_time": 1781.75, "end_time": 1783.19, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 424, "text": "Okay.", "raw_text": "Okay.", "start_time": 1783.35, "end_time": 1783.83, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 425, "text": "That's my preference.", "raw_text": "That's my preference.", "start_time": 1783.99, "end_time": 1784.79, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 426, "text": "Universal.", "raw_text": "Universal.", "start_time": 1785.03, "end_time": 1785.75, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 427, "text": "But hey, long term strategy.", "raw_text": "But hey, long term strategy.", "start_time": 1785.75, "end_time": 1787.43, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 428, "text": "Moreland, is this a product when we license it that we will have our own installation or is it ultimately going to move into us being a, you", "raw_text": "Moreland, is this a product when we license it that we will have our own installation or is it ultimately going to move into us being a, you", "start_time": 1787.59, "end_time": 1795.6, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 429, "text": "know, like tenant of your, of your deployment?", "raw_text": "know, like tenant of your, of your deployment?", "start_time": 1795.6, "end_time": 1799, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 430, "text": "It's honestly your choice.", "raw_text": "It's honestly your choice.", "start_time": 1800.36, "end_time": 1801.88, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 431, "text": "Like we're trying to make it, we're trying to make the path of least resistance based on the client's preference.", "raw_text": "Like we're trying to make it, we're trying to make the path of least resistance based on the client's preference.", "start_time": 1802.36, "end_time": 1810.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 432, "text": "So if you say we want this on our own instance reversal.", "raw_text": "So if you say we want this on our own instance reversal.", "start_time": 1810.76, "end_time": 1815, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 433, "text": "Okay.", "raw_text": "Okay.", "start_time": 1815, "end_time": 1815.48, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 434, "text": "We want this on our own AWS environment.", "raw_text": "We want this on our own AWS environment.", "start_time": 1816.13, "end_time": 1818.77, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 435, "text": "Okay.", "raw_text": "Okay.", "start_time": 1819.09, "end_time": 1819.73, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 436, "text": "We want this on your multi tenant versal, that's fine with us as well.", "raw_text": "We want this on your multi tenant versal, that's fine with us as well.", "start_time": 1820.13, "end_time": 1826.13, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 437, "text": "If, if contractual issues get in the way and it's.", "raw_text": "If, if contractual issues get in the way and it's.", "start_time": 1829.25, "end_time": 1834.13, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 438, "text": "It's easier for both sides for it to be your Versal instance or for us to employ it on your AWS environment, we'll do that.", "raw_text": "It's easier for both sides for it to be your Versal instance or for us to employ it on your AWS environment, we'll do that.", "start_time": 1834.69, "end_time": 1844.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 439, "text": "So we're not going to.", "raw_text": "So we're not going to.", "start_time": 1845.18, "end_time": 1846.54, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 440, "text": "At some, if you say we're going to put it on our Versal instance, we're not going to force you or tell you at some point down the road.", "raw_text": "At some, if you say we're going to put it on our Versal instance, we're not going to force you or tell you at some point down the road.", "start_time": 1846.54, "end_time": 1854.1, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 441, "text": "No, no, you have to put it on our multi tenant Versal instance.", "raw_text": "No, no, you have to put it on our multi tenant Versal instance.", "start_time": 1854.1, "end_time": 1857.82, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 442, "text": "You can.", "raw_text": "You can.", "start_time": 1857.9, "end_time": 1858.46, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 443, "text": "Okay, we can keep it deployed Wherever you tell us you want it, that'll", "raw_text": "Okay, we can keep it deployed Wherever you tell us you want it, that'll", "start_time": 1858.46, "end_time": 1862.66, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 444, "text": "help us direct the conversation.", "raw_text": "help us direct the conversation.", "start_time": 1862.66, "end_time": 1863.98, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 445, "text": "Thanks, Paul.", "raw_text": "Thanks, Paul.", "start_time": 1863.98, "end_time": 1864.62, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 446, "text": "Because that's, that's where I think the sticking point gets, gets a lot of force is if we're going to be multi tenant, we have to go thing, you know, go about things a certain way.", "raw_text": "Because that's, that's where I think the sticking point gets, gets a lot of force is if we're going to be multi tenant, we have to go thing, you know, go about things a certain way.", "start_time": 1864.62, "end_time": 1879.45, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 447, "text": "And if we have more control than what we, what we would do, Mike, in this, in this case is we would say, okay, anytime you need to do a deployment, we still have to go through our same processes and all that stuff and not just whenever they want to put a deployment out.", "raw_text": "And if we have more control than what we, what we would do, Mike, in this, in this case is we would say, okay, anytime you need to do a deployment, we still have to go through our same processes and all that stuff and not just whenever they want to put a deployment out.", "start_time": 1879.77, "end_time": 1894.73, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 448, "text": "So I think that's good.", "raw_text": "So I think that's good.", "start_time": 1895.51, "end_time": 1897.51, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 449, "text": "Scott.", "raw_text": "Scott.", "start_time": 1899.11, "end_time": 1899.59, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 450, "text": "I'll take that with Darren when I get off here.", "raw_text": "I'll take that with Darren when I get off here.", "start_time": 1899.59, "end_time": 1902.43, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 451, "text": "I'll see if he's over in the office, zoom and talk to him about it.", "raw_text": "I'll see if he's over in the office, zoom and talk to him about it.", "start_time": 1902.43, "end_time": 1907.51, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 452, "text": "Okay, cool.", "raw_text": "Okay, cool.", "start_time": 1910.47, "end_time": 1911.35, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 453, "text": "All right.", "raw_text": "All right.", "start_time": 1911.43, "end_time": 1911.87, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 454, "text": "That's where it lives.", "raw_text": "That's where it lives.", "start_time": 1911.87, "end_time": 1912.79, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 455, "text": "Yeah, I was just saying.", "raw_text": "Yeah, I was just saying.", "start_time": 1917.43, "end_time": 1918.47, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 456, "text": "That's fine.", "raw_text": "That's fine.", "start_time": 1918.63, "end_time": 1919.19, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 457, "text": "We'll take that away.", "raw_text": "We'll take that away.", "start_time": 1919.19, "end_time": 1919.83, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 458, "text": "We'll come back to you guys.", "raw_text": "We'll come back to you guys.", "start_time": 1919.83, "end_time": 1920.87, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 459, "text": "You guys gave us three options and we'll let you know which of the three.", "raw_text": "You guys gave us three options and we'll let you know which of the three.", "start_time": 1920.87, "end_time": 1923.59, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 460, "text": "Okay?", "raw_text": "Okay?", "start_time": 1924.3, "end_time": 1924.58, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 461, "text": "Okay.", "raw_text": "Okay.", "start_time": 1924.58, "end_time": 1925.1, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 462, "text": "And I do want to add one", "raw_text": "And I do want to add one", "start_time": 1925.34, "end_time": 1926.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 463, "text": "point there for Steve.", "raw_text": "point there for Steve.", "start_time": 1926.82, "end_time": 1927.98, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 464, "text": "Like when free, when you talk to Darren, like there's really.", "raw_text": "Like when free, when you talk to Darren, like there's really.", "start_time": 1927.98, "end_time": 1931.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 465, "text": "Regardless of what environment, it is going", "raw_text": "Regardless of what environment, it is going", "start_time": 1931.74, "end_time": 1934.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 466, "text": "to be an isolated instance for you", "raw_text": "to be an isolated instance for you", "start_time": 1934.14, "end_time": 1936.18, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 467, "text": "guys, that isolated instance is either going to be like managed by us in", "raw_text": "guys, that isolated instance is either going to be like managed by us in", "start_time": 1936.18, "end_time": 1940.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 468, "text": "our Vercel account, in our, you know, Supabase account, whatever, or it's going to", "raw_text": "our Vercel account, in our, you know, Supabase account, whatever, or it's going to", "start_time": 1940.5, "end_time": 1945.66, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 469, "text": "be in one managed by you, or", "raw_text": "be in one managed by you, or", "start_time": 1945.66, "end_time": 1948.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 470, "text": "it's going to be in your aws.", "raw_text": "it's going to be in your aws.", "start_time": 1948.5, "end_time": 1949.98, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 471, "text": "But regardless, for you guys, it'll be an isolated instance.", "raw_text": "But regardless, for you guys, it'll be an isolated instance.", "start_time": 1949.98, "end_time": 1954.36, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 472, "text": "Yeah, it's just how much control we have over it, you know.", "raw_text": "Yeah, it's just how much control we have over it, you know.", "start_time": 1954.92, "end_time": 1957.88, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 473, "text": "Okay, so if you have any questions", "raw_text": "Okay, so if you have any questions", "start_time": 1961.08, "end_time": 1963.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 474, "text": "about that before you talk to Darren, just, just let me know.", "raw_text": "about that before you talk to Darren, just, just let me know.", "start_time": 1963.04, "end_time": 1965.4, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 475, "text": "We can, we can take it.", "raw_text": "We can, we can take it.", "start_time": 1965.4, "end_time": 1967.16, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 476, "text": "Okay.", "raw_text": "Okay.", "start_time": 1968.2, "end_time": 1968.76, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 477, "text": "I know we're at time.", "raw_text": "I know we're at time.", "start_time": 1970.68, "end_time": 1971.72, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 478, "text": "Do you want us to follow up on the project statuses via email or do you want to hit that now?", "raw_text": "Do you want us to follow up on the project statuses via email or do you want to hit that now?", "start_time": 1971.72, "end_time": 1979.58, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 479, "text": "Well, I mean, Sam sent me over.", "raw_text": "Well, I mean, Sam sent me over.", "start_time": 1980.3, "end_time": 1981.98, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 480, "text": "Yeah, no, Sam sent me over the revisions.", "raw_text": "Yeah, no, Sam sent me over the revisions.", "start_time": 1983.66, "end_time": 1986.14, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 481, "text": "Is there, is there something you guys?", "raw_text": "Is there, is there something you guys?", "start_time": 1986.14, "end_time": 1987.54, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 482, "text": "I just want to make sure.", "raw_text": "I just want to make sure.", "start_time": 1987.54, "end_time": 1988.62, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 483, "text": "Well, here, let's just stay sequential on it.", "raw_text": "Well, here, let's just stay sequential on it.", "start_time": 1988.62, "end_time": 1990.82, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 484, "text": "Okay, so we defend.", "raw_text": "Okay, so we defend.", "start_time": 1990.82, "end_time": 1992.42, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 485, "text": "We've given you kind of the green light on Project 1, Project 4.", "raw_text": "We've given you kind of the green light on Project 1, Project 4.", "start_time": 1992.42, "end_time": 1996.78, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 486, "text": "I don't remember which ones are specifically which at this point, but what we wanted to do is we wanted to do phase two of the sub vacant and just to be really clean about that.", "raw_text": "I don't remember which ones are specifically which at this point, but what we wanted to do is we wanted to do phase two of the sub vacant and just to be really clean about that.", "start_time": 1996.94, "end_time": 2006.58, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 487, "text": "I mean my recollection is, is that we were going to give you guys the actual API that we developed for bids and damages.", "raw_text": "I mean my recollection is, is that we were going to give you guys the actual API that we developed for bids and damages.", "start_time": 2006.74, "end_time": 2014.58, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 488, "text": "You guys are going to do the net off logic off of it and Then off of that, obviously we have to then have a revised work order that considers the net off logic.", "raw_text": "You guys are going to do the net off logic off of it and Then off of that, obviously we have to then have a revised work order that considers the net off logic.", "start_time": 2014.74, "end_time": 2025.14, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 489, "text": "And then you guys were actually going to complete the process so that a work order would actually get placed again via an API that we'd provide.", "raw_text": "And then you guys were actually going to complete the process so that a work order would actually get placed again via an API that we'd provide.", "start_time": 2025.14, "end_time": 2032.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 490, "text": "And that was Project one, I believe", "raw_text": "And that was Project one, I believe", "start_time": 2032.69, "end_time": 2035.17, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 491, "text": "that's the call on Monday to get the level set there and talk about when we can get those APIs and plan that out.", "raw_text": "that's the call on Monday to get the level set there and talk about when we can get those APIs and plan that out.", "start_time": 2037.57, "end_time": 2043.65, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 492, "text": "Okay, all right, sounds good.", "raw_text": "Okay, all right, sounds good.", "start_time": 2044.69, "end_time": 2045.89, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 493, "text": "So we'll hit that on Monday.", "raw_text": "So we'll hit that on Monday.", "start_time": 2045.89, "end_time": 2046.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 494, "text": "And I think all that stuff is already developed, right, Scott?", "raw_text": "And I think all that stuff is already developed, right, Scott?", "start_time": 2046.81, "end_time": 2049.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 495, "text": "Yeah, we have the swagger, we have the documentation, we'll share on Monday.", "raw_text": "Yeah, we have the swagger, we have the documentation, we'll share on Monday.", "start_time": 2050.45, "end_time": 2054.05, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 496, "text": "Perfect.", "raw_text": "Perfect.", "start_time": 2054.61, "end_time": 2055.05, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 497, "text": "Okay.", "raw_text": "Okay.", "start_time": 2055.05, "end_time": 2055.57, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 498, "text": "And then Project 4, that's where we get into that preserve AI, which is the deployment that we would put on our client facing websites.", "raw_text": "And then Project 4, that's where we get into that preserve AI, which is the deployment that we would put on our client facing websites.", "start_time": 2056.059, "end_time": 2065.739, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 499, "text": "We call it the access portal.", "raw_text": "We call it the access portal.", "start_time": 2066.059, "end_time": 2067.739, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 500, "text": "And again, what we have is three specific workflows there and then we have that property scoring hazard insurance claim and is the property ICC in order for us to make that productive.", "raw_text": "And again, what we have is three specific workflows there and then we have that property scoring hazard insurance claim and is the property ICC in order for us to make that productive.", "start_time": 2068.139, "end_time": 2079.419, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 501, "text": "That's where you need to come back and actually ensure all three workflows, you know, are now created within foundations.", "raw_text": "That's where you need to come back and actually ensure all three workflows, you know, are now created within foundations.", "start_time": 2079.419, "end_time": 2086.019, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 502, "text": "And then we're giving the actual details and the actual visuals back, you know, via that React website back to the clients, you know, so once they invoke the workflow, they're getting the results back.", "raw_text": "And then we're giving the actual details and the actual visuals back, you know, via that React website back to the clients, you know, so once they invoke the workflow, they're getting the results back.", "start_time": 2086.179, "end_time": 2097.259, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 503, "text": "And it looks, you know, very similar.", "raw_text": "And it looks, you know, very similar.", "start_time": 2097.259, "end_time": 2099.618, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 504, "text": "Exactly like kind of what we designed there on that REACT website.", "raw_text": "Exactly like kind of what we designed there on that REACT website.", "start_time": 2100.019, "end_time": 2103.539, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 505, "text": "That's what we're looking for on that guy.", "raw_text": "That's what we're looking for on that guy.", "start_time": 2106.899, "end_time": 2108.659, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 506, "text": "That is just contingent upon us or you guys being able to develop, you know, the, you know, to make sure the foundations is ready to go, Right?", "raw_text": "That is just contingent upon us or you guys being able to develop, you know, the, you know, to make sure the foundations is ready to go, Right?", "start_time": 2109.11, "end_time": 2117.75, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 507, "text": "Yep.", "raw_text": "Yep.", "start_time": 2121.75, "end_time": 2122.15, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 508, "text": "Correct.", "raw_text": "Correct.", "start_time": 2122.15, "end_time": 2122.43, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 509, "text": "And that, that those revisions that you had requested, MRF did those this morning and that's what I sent over late this morning to include a couple of those things you had called out.", "raw_text": "And that, that those revisions that you had requested, MRF did those this morning and that's what I sent over late this morning to include a couple of those things you had called out.", "start_time": 2122.43, "end_time": 2131.83, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 510, "text": "So I sent over the revision of that arrangement letter with the additional deliverable items for your review and if that still looks good, then that would be the next one we would queue up.", "raw_text": "So I sent over the revision of that arrangement letter with the additional deliverable items for your review and if that still looks good, then that would be the next one we would queue up.", "start_time": 2133.03, "end_time": 2145.13, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 511, "text": "Would they be integrating that into SAFEU access or is that something we're going to do in house?", "raw_text": "Would they be integrating that into SAFEU access or is that something we're going to do in house?", "start_time": 2146.57, "end_time": 2151.05, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 512, "text": "Not much of preference.", "raw_text": "Not much of preference.", "start_time": 2153.77, "end_time": 2154.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 513, "text": "We can do it in house.", "raw_text": "We can do it in house.", "start_time": 2156.49, "end_time": 2157.69, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 514, "text": "I just didn't know if that's what we wanted to do.", "raw_text": "I just didn't know if that's what we wanted to do.", "start_time": 2157.85, "end_time": 2162.33, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 515, "text": "I couldn't care, you know, I don't care, Steve.", "raw_text": "I couldn't care, you know, I don't care, Steve.", "start_time": 2163.29, "end_time": 2165.61, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 516, "text": "Okay, yeah.", "raw_text": "Okay, yeah.", "start_time": 2165.85, "end_time": 2166.49, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 517, "text": "All right, then we can do that integration.", "raw_text": "All right, then we can do that integration.", "start_time": 2167.61, "end_time": 2169.61, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 518, "text": "Just make sure.", "raw_text": "Just make sure.", "start_time": 2169.77, "end_time": 2170.49, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 519, "text": "Yeah, it just all gets.", "raw_text": "Yeah, it just all gets.", "start_time": 2170.73, "end_time": 2172.33, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 520, "text": "What we're trying to do is be able to be the first person in property preservation that is putting.", "raw_text": "What we're trying to do is be able to be the first person in property preservation that is putting.", "start_time": 2173.13, "end_time": 2177.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 521, "text": "I don't know if I've said this to you guys, but I mean, it's a huge strategic initiative for us.", "raw_text": "I don't know if I've said this to you guys, but I mean, it's a huge strategic initiative for us.", "start_time": 2177.81, "end_time": 2182.089, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 522, "text": "So it's not a small deal.", "raw_text": "So it's not a small deal.", "start_time": 2182.09, "end_time": 2183.85, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 523, "text": "So if you guys feel a little bit of pressure here, then I'm not doing my job because it ought to be a lot of pressure.", "raw_text": "So if you guys feel a little bit of pressure here, then I'm not doing my job because it ought to be a lot of pressure.", "start_time": 2183.93, "end_time": 2190.01, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 524, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2191.86, "end_time": 2192.1, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 525, "text": "Time is definitely of the essence here.", "raw_text": "Time is definitely of the essence here.", "start_time": 2192.1, "end_time": 2194.02, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 526, "text": "So.", "raw_text": "So.", "start_time": 2194.74, "end_time": 2195.14, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 527, "text": "So to answer your question, Steve, I don't care as long as it happens quickly.", "raw_text": "So to answer your question, Steve, I don't care as long as it happens quickly.", "start_time": 2196.5, "end_time": 2200.26, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 528, "text": "Okay.", "raw_text": "Okay.", "start_time": 2200.74, "end_time": 2201.26, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 529, "text": "It's faster.", "raw_text": "It's faster.", "start_time": 2201.26, "end_time": 2201.94, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 530, "text": "Floyd, do that.", "raw_text": "Floyd, do that.", "start_time": 2202.82, "end_time": 2204.5, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 531, "text": "It's faster for them.", "raw_text": "It's faster for them.", "start_time": 2204.9, "end_time": 2206.1, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 532, "text": "Do that.", "raw_text": "Do that.", "start_time": 2206.1, "end_time": 2206.66, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 533, "text": "Okay.", "raw_text": "Okay.", "start_time": 2207.38, "end_time": 2207.94, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 534, "text": "Okay.", "raw_text": "Okay.", "start_time": 2208.5, "end_time": 2209.06, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 535, "text": "Okay.", "raw_text": "Okay.", "start_time": 2211.38, "end_time": 2212.02, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 536, "text": "Was there anything else you guys wanted to hit?", "raw_text": "Was there anything else you guys wanted to hit?", "start_time": 2212.26, "end_time": 2214.14, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 537, "text": "Anything on the safeguard side that was still open", "raw_text": "Anything on the safeguard side that was still open", "start_time": 2214.14, "end_time": 2216.74, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 538, "text": "in that.", "raw_text": "in that.", "start_time": 2219.1, "end_time": 2219.58, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 539, "text": "In the list that was sent over?", "raw_text": "In the list that was sent over?", "start_time": 2221.58, "end_time": 2222.94, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 540, "text": "The VC tool dashboard was also part of it.", "raw_text": "The VC tool dashboard was also part of it.", "start_time": 2222.94, "end_time": 2225.42, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 541, "text": "There's a inclusive two week warranty period.", "raw_text": "There's a inclusive two week warranty period.", "start_time": 2227.5, "end_time": 2230.74, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 542, "text": "I don't know what that means.", "raw_text": "I don't know what that means.", "start_time": 2230.74, "end_time": 2231.82, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 543, "text": "Is that.", "raw_text": "Is that.", "start_time": 2233.42, "end_time": 2233.9, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 544, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2233.98, "end_time": 2234.38, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 545, "text": "So that's language we've started adding to arrangement letters.", "raw_text": "So that's language we've started adding to arrangement letters.", "start_time": 2234.38, "end_time": 2238.34, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 546, "text": "The idea being that once we go live, we're not just going to walk away and say anything that goes wrong or any changes that need to happen, whatever that may be, that we're just going to say immediately you have to change order it.", "raw_text": "The idea being that once we go live, we're not just going to walk away and say anything that goes wrong or any changes that need to happen, whatever that may be, that we're just going to say immediately you have to change order it.", "start_time": 2238.34, "end_time": 2252.15, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 547, "text": "So we, in our standard language now we're just saying for the two weeks after we go live with something.", "raw_text": "So we, in our standard language now we're just saying for the two weeks after we go live with something.", "start_time": 2252.15, "end_time": 2257.91, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 548, "text": "We're obviously here to help you resolve any issues that you may have, questions and things like that that may need to happen immediately in production from that point on.", "raw_text": "We're obviously here to help you resolve any issues that you may have, questions and things like that that may need to happen immediately in production from that point on.", "start_time": 2258.39, "end_time": 2267.27, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 549, "text": "And then after that two week warranty period if there's something change order.", "raw_text": "And then after that two week warranty period if there's something change order.", "start_time": 2267.27, "end_time": 2271.19, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 550, "text": "Talk about a change order or something.", "raw_text": "Talk about a change order or something.", "start_time": 2271.67, "end_time": 2272.87, "speaker_id": 6, "speaker_name": "Sam Wilsey"}, {"index": 551, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2272.87, "end_time": 2273.27, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 552, "text": "Okay.", "raw_text": "Okay.", "start_time": 2273.43, "end_time": 2273.99, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 553, "text": "I just wanted to make sure I understood is after production release.", "raw_text": "I just wanted to make sure I understood is after production release.", "start_time": 2275.04, "end_time": 2278.24, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 554, "text": "Okay.", "raw_text": "Okay.", "start_time": 2279.04, "end_time": 2279.68, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 555, "text": "Okay.", "raw_text": "Okay.", "start_time": 2280.48, "end_time": 2281.12, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 556, "text": "That was all I had, Mike.", "raw_text": "That was all I had, Mike.", "start_time": 2283.28, "end_time": 2284.56, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 557, "text": "Okay.", "raw_text": "Okay.", "start_time": 2285.28, "end_time": 2285.84, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 558, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2286.08, "end_time": 2286.48, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 559, "text": "And then.", "raw_text": "And then.", "start_time": 2286.48, "end_time": 2286.92, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 560, "text": "So yeah, a lot of.", "raw_text": "So yeah, a lot of.", "start_time": 2286.92, "end_time": 2287.72, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 561, "text": "A lot of what we talked about today is the foundations.", "raw_text": "A lot of what we talked about today is the foundations.", "start_time": 2287.72, "end_time": 2289.72, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 562, "text": "But you're right, Steve.", "raw_text": "But you're right, Steve.", "start_time": 2289.72, "end_time": 2290.68, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 563, "text": "There's a scorecard component.", "raw_text": "There's a scorecard component.", "start_time": 2290.68, "end_time": 2292.24, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 564, "text": "And then Sam, you had sent me over just a couple revisions on 2 and 3 just were the projects we thought we.", "raw_text": "And then Sam, you had sent me over just a couple revisions on 2 and 3 just were the projects we thought we.", "start_time": 2292.56, "end_time": 2298.64, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 565, "text": "You guys were coming back heavy on.", "raw_text": "You guys were coming back heavy on.", "start_time": 2298.64, "end_time": 2300.24, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 566, "text": "So I think you took another swing at those.", "raw_text": "So I think you took another swing at those.", "start_time": 2300.84, "end_time": 2302.6, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 567, "text": "So I will look at those over the weekend and then in our mind that's kind of like the Daniel side of things is continuing to build out the VC tool that you guys have helped us develop so far.", "raw_text": "So I will look at those over the weekend and then in our mind that's kind of like the Daniel side of things is continuing to build out the VC tool that you guys have helped us develop so far.", "start_time": 2302.84, "end_time": 2313.72, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 568, "text": "So we definitely, I mean to the extent you can be competitive that we definitely want to keep you guys on that stuff because we have a vision on that.", "raw_text": "So we definitely, I mean to the extent you can be competitive that we definitely want to keep you guys on that stuff because we have a vision on that.", "start_time": 2313.8, "end_time": 2322.28, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 569, "text": "That side as well.", "raw_text": "That side as well.", "start_time": 2322.68, "end_time": 2323.72, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 570, "text": "Yeah, we.", "raw_text": "Yeah, we.", "start_time": 2324.68, "end_time": 2325.28, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 571, "text": "We removed our expectation of adjustments there.", "raw_text": "We removed our expectation of adjustments there.", "start_time": 2325.28, "end_time": 2329.24, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 572, "text": "So you'll see we.", "raw_text": "So you'll see we.", "start_time": 2329.48, "end_time": 2330.64, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 573, "text": "We reduced the effort estimate.", "raw_text": "We reduced the effort estimate.", "start_time": 2330.64, "end_time": 2332.81, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 574, "text": "Okay.", "raw_text": "Okay.", "start_time": 2333.77, "end_time": 2334.33, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 575, "text": "Okay, sounds good.", "raw_text": "Okay, sounds good.", "start_time": 2336.01, "end_time": 2336.97, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 576, "text": "I'll take a look at those this weekend as well.", "raw_text": "I'll take a look at those this weekend as well.", "start_time": 2336.97, "end_time": 2338.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 577, "text": "Then we get Daniel up and lit and get him just banging away on that sequence, which is scorecard.", "raw_text": "Then we get Daniel up and lit and get him just banging away on that sequence, which is scorecard.", "start_time": 2338.81, "end_time": 2345.13, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 578, "text": "Then probably two, then three.", "raw_text": "Then probably two, then three.", "start_time": 2345.13, "end_time": 2347.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 579, "text": "But just, just take my lead on that when I come back and either have questions or give approval.", "raw_text": "But just, just take my lead on that when I come back and either have questions or give approval.", "start_time": 2347.689, "end_time": 2354.41, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 580, "text": "And then now just coming back to foundations itself, I'm just not exactly sure where we sit.", "raw_text": "And then now just coming back to foundations itself, I'm just not exactly sure where we sit.", "start_time": 2354.81, "end_time": 2361.06, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 581, "text": "So we got to answer the question of where.", "raw_text": "So we got to answer the question of where.", "start_time": 2361.06, "end_time": 2362.66, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 582, "text": "Let's assume we're getting all that taken care of here after a very short conversation, then what are we doing?", "raw_text": "Let's assume we're getting all that taken care of here after a very short conversation, then what are we doing?", "start_time": 2363.22, "end_time": 2370.1, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 583, "text": "We gotta sign a licensing agreement or whatever once we believe this is a real thing, and that's what you guys are trying to convince us of.", "raw_text": "We gotta sign a licensing agreement or whatever once we believe this is a real thing, and that's what you guys are trying to convince us of.", "start_time": 2371.22, "end_time": 2379.7, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 584, "text": "And then once we do that, then what?", "raw_text": "And then once we do that, then what?", "start_time": 2380.74, "end_time": 2382.74, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 585, "text": "Like, we hop in that puppy and make the vision come alive for me.", "raw_text": "Like, we hop in that puppy and make the vision come alive for me.", "start_time": 2382.98, "end_time": 2387.91, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 586, "text": "Am I configuring?", "raw_text": "Am I configuring?", "start_time": 2388.55, "end_time": 2389.67, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 587, "text": "Are you guys configuring to get these additional workflows built?", "raw_text": "Are you guys configuring to get these additional workflows built?", "start_time": 2389.67, "end_time": 2393.83, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 588, "text": "Project.", "raw_text": "Project.", "start_time": 2394.23, "end_time": 2394.63, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 589, "text": "Project one is incorporating those changes or enhancements and deploying it to production.", "raw_text": "Project one is incorporating those changes or enhancements and deploying it to production.", "start_time": 2394.87, "end_time": 2404.55, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 590, "text": "So wherever we decide it's going to live, the end of that project will be those changes have been made and it's deployed in production.", "raw_text": "So wherever we decide it's going to live, the end of that project will be those changes have been made and it's deployed in production.", "start_time": 2404.55, "end_time": 2413.77, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 591, "text": "Okay.", "raw_text": "Okay.", "start_time": 2414.33, "end_time": 2414.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 592, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2414.81, "end_time": 2415.13, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 593, "text": "Sub vacant, going A to Z. Yep, yep.", "raw_text": "Sub vacant, going A to Z. Yep, yep.", "start_time": 2415.13, "end_time": 2418.57, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 594, "text": "Sounds, sounds good.", "raw_text": "Sounds, sounds good.", "start_time": 2418.57, "end_time": 2420.49, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 595, "text": "Okay, then we have this enterprise agreement, right?", "raw_text": "Okay, then we have this enterprise agreement, right?", "start_time": 2421.13, "end_time": 2423.73, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 596, "text": "That's the other piece that we're trying to kind of get figured out.", "raw_text": "That's the other piece that we're trying to kind of get figured out.", "start_time": 2423.73, "end_time": 2426.09, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 597, "text": "And then the question is, is what are we buying there?", "raw_text": "And then the question is, is what are we buying there?", "start_time": 2426.09, "end_time": 2428.97, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 598, "text": "And that's where it has to become a tool that we can interact with, that we can help build out workflows and stuff like that.", "raw_text": "And that's where it has to become a tool that we can interact with, that we can help build out workflows and stuff like that.", "start_time": 2431.05, "end_time": 2437.37, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 599, "text": "That's the piece I'm not.", "raw_text": "That's the piece I'm not.", "start_time": 2437.53, "end_time": 2438.69, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 600, "text": "Does anybody else on the safeguard side connect any stats?", "raw_text": "Does anybody else on the safeguard side connect any stats?", "start_time": 2438.69, "end_time": 2441.17, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 601, "text": "Because I'm just not right now on the enterprise side.", "raw_text": "Because I'm just not right now on the enterprise side.", "start_time": 2441.17, "end_time": 2445.22, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 602, "text": "Yeah, I don't, I don't quite understand how that is going to work, but I think maybe, Paul, if you can help us understand, like, hey, we, we signed the agreement and we say, hey, Darren's gonna say, let's run this in Versal, like, what's next?", "raw_text": "Yeah, I don't, I don't quite understand how that is going to work, but I think maybe, Paul, if you can help us understand, like, hey, we, we signed the agreement and we say, hey, Darren's gonna say, let's run this in Versal, like, what's next?", "start_time": 2445.22, "end_time": 2462.26, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 603, "text": "So you have the workflow that we built in foundation, you could make modifications of that in Foundation.", "raw_text": "So you have the workflow that we built in foundation, you could make modifications of that in Foundation.", "start_time": 2465.14, "end_time": 2477.7, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 604, "text": "You'll have an instance of the foundation platform itself.", "raw_text": "You'll have an instance of the foundation platform itself.", "start_time": 2478.5, "end_time": 2482.26, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 605, "text": "So you could tell us, hey, go build us some additional tools.", "raw_text": "So you could tell us, hey, go build us some additional tools.", "start_time": 2482.9, "end_time": 2487.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 606, "text": "Or we're going to take this workflow and we're going to figure out how we can copy this workflow into a new workflow.", "raw_text": "Or we're going to take this workflow and we're going to figure out how we can copy this workflow into a new workflow.", "start_time": 2487.46, "end_time": 2500.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 607, "text": "We can click on one of the steps and see the code and make some configuration changes in the code to create a new workflow that was similar to the first one that we created.", "raw_text": "We can click on one of the steps and see the code and make some configuration changes in the code to create a new workflow that was similar to the first one that we created.", "start_time": 2500.99, "end_time": 2515.79, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 608, "text": "You own the rights to use that foundation platform to do what I just described.", "raw_text": "You own the rights to use that foundation platform to do what I just described.", "start_time": 2517.15, "end_time": 2523.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 609, "text": "So.", "raw_text": "So.", "start_time": 2524.58, "end_time": 2524.86, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 610, "text": "Mike?", "raw_text": "Mike?", "start_time": 2524.86, "end_time": 2525.22, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 611, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2526.34, "end_time": 2526.82, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 612, "text": "Oh, yeah, go ahead.", "raw_text": "Oh, yeah, go ahead.", "start_time": 2527.78, "end_time": 2528.46, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 613, "text": "Yeah, sorry, Steve.", "raw_text": "Yeah, sorry, Steve.", "start_time": 2528.46, "end_time": 2530.42, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 614, "text": "The only thing we're not really connecting about is just because when we're kind of walking through all this stuff, you're like, well, you'll be able in future be able to copy a workflow, but you can't today.", "raw_text": "The only thing we're not really connecting about is just because when we're kind of walking through all this stuff, you're like, well, you'll be able in future be able to copy a workflow, but you can't today.", "start_time": 2530.42, "end_time": 2538.42, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 615, "text": "That's the only thing that's, we're getting stuck, stuck on right now.", "raw_text": "That's the only thing that's, we're getting stuck, stuck on right now.", "start_time": 2538.98, "end_time": 2542.34, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 616, "text": "So, I mean, you guys can create,", "raw_text": "So, I mean, you guys can create,", "start_time": 2542.66, "end_time": 2545.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 617, "text": "you can do the copy behind the scenes, right?", "raw_text": "you can do the copy behind the scenes, right?", "start_time": 2546.18, "end_time": 2548.54, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 618, "text": "We don't have to do that.", "raw_text": "We don't have to do that.", "start_time": 2548.54, "end_time": 2549.54, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 619, "text": "Is that a true statement?", "raw_text": "Is that a true statement?", "start_time": 2551.31, "end_time": 2552.35, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 620, "text": "Like, can you just.", "raw_text": "Like, can you just.", "start_time": 2552.75, "end_time": 2553.63, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 621, "text": "Yeah, and I think we're saying, yeah, yeah, we can do that behind the scenes.", "raw_text": "Yeah, and I think we're saying, yeah, yeah, we can do that behind the scenes.", "start_time": 2553.79, "end_time": 2559.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 622, "text": "And like, we're also saying it's just", "raw_text": "And like, we're also saying it's just", "start_time": 2559.15, "end_time": 2561.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 623, "text": "not deployed in production to you guys, so you guys don't have it in your hands and the ability to, to get in there and actually create stuff.", "raw_text": "not deployed in production to you guys, so you guys don't have it in your hands and the ability to, to get in there and actually create stuff.", "start_time": 2561.83, "end_time": 2569.07, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 624, "text": "So like, once we're through that Project", "raw_text": "So like, once we're through that Project", "start_time": 2569.07, "end_time": 2570.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 625, "text": "one, you guys will be able to do that.", "raw_text": "one, you guys will be able to do that.", "start_time": 2570.91, "end_time": 2572.43, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 626, "text": "Okay, all right, so we could copy the workflows, we could hop on those individual nodes, we could, you know, alter the actual inputs, the fetch, adjust, the actual transformations with JavaScript of, you know, all that fun stuff.", "raw_text": "Okay, all right, so we could copy the workflows, we could hop on those individual nodes, we could, you know, alter the actual inputs, the fetch, adjust, the actual transformations with JavaScript of, you know, all that fun stuff.", "start_time": 2573.71, "end_time": 2585.79, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 627, "text": "So that's what we're signing up for.", "raw_text": "So that's what we're signing up for.", "start_time": 2585.79, "end_time": 2587.59, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 628, "text": "Right.", "raw_text": "Right.", "start_time": 2587.59, "end_time": 2587.99, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 629, "text": "And all that stuff is just waiting for me to sign that enterprise agreement and then boom, you guys are going to give us new logins and we'll be banging away in foundations.", "raw_text": "And all that stuff is just waiting for me to sign that enterprise agreement and then boom, you guys are going to give us new logins and we'll be banging away in foundations.", "start_time": 2587.99, "end_time": 2598.87, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 630, "text": "I'm standing right at my.", "raw_text": "I'm standing right at my.", "start_time": 2600.71, "end_time": 2602.07, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 631, "text": "Yeah,", "raw_text": "Yeah,", "start_time": 2603.91, "end_time": 2604.39, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 632, "text": "Let's go.", "raw_text": "Let's go.", "start_time": 2608.71, "end_time": 2609.35, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 633, "text": "Yes.", "raw_text": "Yes.", "start_time": 2609.83, "end_time": 2610.23, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 634, "text": "When, when Project 1 is installed in product, you now have it.", "raw_text": "When, when Project 1 is installed in product, you now have it.", "start_time": 2610.23, "end_time": 2614.73, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 635, "text": "You have got it in production.", "raw_text": "You have got it in production.", "start_time": 2614.73, "end_time": 2616.17, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 636, "text": "You have access to it, you can use it.", "raw_text": "You have access to it, you can use it.", "start_time": 2616.17, "end_time": 2617.89, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 637, "text": "Okay, you guys need a little bit of grace here.", "raw_text": "Okay, you guys need a little bit of grace here.", "start_time": 2618.45, "end_time": 2620.61, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 638, "text": "We're gonna, yeah.", "raw_text": "We're gonna, yeah.", "start_time": 2620.61, "end_time": 2621.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 639, "text": "Get this Project one all knocked out.", "raw_text": "Get this Project one all knocked out.", "start_time": 2621.45, "end_time": 2623.49, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 640, "text": "You guys probably have some other work to get done, but by the time you get Project 1 knocked out and we've signed that enterprise agreement right then, then everything will be ready to go.", "raw_text": "You guys probably have some other work to get done, but by the time you get Project 1 knocked out and we've signed that enterprise agreement right then, then everything will be ready to go.", "start_time": 2623.49, "end_time": 2633.65, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 641, "text": "Yes.", "raw_text": "Yes.", "start_time": 2634.21, "end_time": 2634.69, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 642, "text": "Yep.", "raw_text": "Yep.", "start_time": 2635.25, "end_time": 2635.69, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 643, "text": "Okay.", "raw_text": "Okay.", "start_time": 2635.69, "end_time": 2636.13, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 644, "text": "Okay.", "raw_text": "Okay.", "start_time": 2636.45, "end_time": 2636.97, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 645, "text": "All right, that's cool.", "raw_text": "All right, that's cool.", "start_time": 2636.97, "end_time": 2637.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 646, "text": "I, that's, that's good enough for me.", "raw_text": "I, that's, that's good enough for me.", "start_time": 2637.81, "end_time": 2639.65, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 647, "text": "Steve, Sorry, I didn't mean to cut you off.", "raw_text": "Steve, Sorry, I didn't mean to cut you off.", "start_time": 2639.81, "end_time": 2641.81, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 648, "text": "No, that's okay.", "raw_text": "No, that's okay.", "start_time": 2642.59, "end_time": 2643.39, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 649, "text": "I was just going to ask out of the code that they've already done everything that we have seen to this point, do we have a use for that right now?", "raw_text": "I was just going to ask out of the code that they've already done everything that we have seen to this point, do we have a use for that right now?", "start_time": 2643.47, "end_time": 2651.23, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 650, "text": "Because I think once it's in production, we would have the ability to call it and get something back.", "raw_text": "Because I think once it's in production, we would have the ability to call it and get something back.", "start_time": 2652.27, "end_time": 2660.27, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 651, "text": "I mean, it looked like shit.", "raw_text": "I mean, it looked like shit.", "start_time": 2660.35, "end_time": 2661.79, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 652, "text": "We wouldn't have any template.", "raw_text": "We wouldn't have any template.", "start_time": 2661.79, "end_time": 2663.63, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 653, "text": "Our plan is we're going to initiate it from a gateway process.", "raw_text": "Our plan is we're going to initiate it from a gateway process.", "start_time": 2664.83, "end_time": 2667.55, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 654, "text": "Every close fin order will kick off the webhook and they'll place orders when applicable.", "raw_text": "Every close fin order will kick off the webhook and they'll place orders when applicable.", "start_time": 2667.63, "end_time": 2671.71, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 655, "text": "It's not going to be interactive, it's just going to be the workflows being initiated from us.", "raw_text": "It's not going to be interactive, it's just going to be the workflows being initiated from us.", "start_time": 2672.49, "end_time": 2676.81, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 656, "text": "Okay.", "raw_text": "Okay.", "start_time": 2677.29, "end_time": 2677.85, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 657, "text": "And we'd be able to do that as soon as it's in our environment, as soon as it's deployed, as soon", "raw_text": "And we'd be able to do that as soon as it's in our environment, as soon as it's deployed, as soon", "start_time": 2678.33, "end_time": 2683.85, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 658, "text": "as we have a API endpoint.", "raw_text": "as we have a API endpoint.", "start_time": 2683.85, "end_time": 2685.61, "speaker_id": 5, "speaker_name": "Scott Heller"}, {"index": 659, "text": "All right, perfect.", "raw_text": "All right, perfect.", "start_time": 2686.25, "end_time": 2687.969, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 660, "text": "As soon as Project one is completed.", "raw_text": "As soon as Project one is completed.", "start_time": 2687.969, "end_time": 2689.65, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 661, "text": "Yep, yep.", "raw_text": "Yep, yep.", "start_time": 2689.65, "end_time": 2694.33, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 662, "text": "You guys are killing me today.", "raw_text": "You guys are killing me today.", "start_time": 2695.45, "end_time": 2696.81, "speaker_id": 4, "speaker_name": "Mark Murphy"}, {"index": 663, "text": "No, I'm watching Steve now.", "raw_text": "No, I'm watching Steve now.", "start_time": 2697.85, "end_time": 2699.45, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 664, "text": "Yeah, no, we've all been down the software bullshit path.", "raw_text": "Yeah, no, we've all been down the software bullshit path.", "start_time": 2699.45, "end_time": 2703.37, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 665, "text": "You guys know all this.", "raw_text": "You guys know all this.", "start_time": 2704.15, "end_time": 2705.19, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 666, "text": "But we're also just going to give you the grace because you haven't burned us to date or anything.", "raw_text": "But we're also just going to give you the grace because you haven't burned us to date or anything.", "start_time": 2705.35, "end_time": 2710.63, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 667, "text": "So you guys have earned that grace.", "raw_text": "So you guys have earned that grace.", "start_time": 2710.71, "end_time": 2713.03, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 668, "text": "So we're.", "raw_text": "So we're.", "start_time": 2713.35, "end_time": 2713.99, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 669, "text": "We're just gonna pipe it up and approve Project one.", "raw_text": "We're just gonna pipe it up and approve Project one.", "start_time": 2713.99, "end_time": 2716.99, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 670, "text": "And you guys will deliver?", "raw_text": "And you guys will deliver?", "start_time": 2716.99, "end_time": 2718.39, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 671, "text": "Yes, we will.", "raw_text": "Yes, we will.", "start_time": 2719.91, "end_time": 2720.71, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 672, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2721.83, "end_time": 2722.31, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 673, "text": "All right, sounds good.", "raw_text": "All right, sounds good.", "start_time": 2722.79, "end_time": 2723.63, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 674, "text": "Anybody else have anything?", "raw_text": "Anybody else have anything?", "start_time": 2723.63, "end_time": 2724.71, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 675, "text": "Nope, not here.", "raw_text": "Nope, not here.", "start_time": 2726.39, "end_time": 2727.75, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 676, "text": "Okay.", "raw_text": "Okay.", "start_time": 2728.55, "end_time": 2729.07, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 677, "text": "All right.", "raw_text": "All right.", "start_time": 2729.07, "end_time": 2729.48, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 678, "text": "All right, sounds good.", "raw_text": "All right, sounds good.", "start_time": 2729.79, "end_time": 2730.51, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 679, "text": "All right, thanks, everybody.", "raw_text": "All right, thanks, everybody.", "start_time": 2730.51, "end_time": 2731.47, "speaker_id": 3, "speaker_name": "Michael Greenbaum"}, {"index": 680, "text": "Thanks, everybody.", "raw_text": "Thanks, everybody.", "start_time": 2731.55, "end_time": 2732.23, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 681, "text": "Thank you.", "raw_text": "Thank you.", "start_time": 2732.23, "end_time": 2732.59, "speaker_id": 2, "speaker_name": "Steve Goberish"}, {"index": 682, "text": "Awesome.", "raw_text": "Awesome.", "start_time": 2732.59, "end_time": 2732.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 683, "text": "Thank you, guys.", "raw_text": "Thank you, guys.", "start_time": 2732.99, "end_time": 2733.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 684, "text": "Bye.", "raw_text": "Bye.", "start_time": 2734.43, "end_time": 2734.91, "speaker_id": 2, "speaker_name": "Steve Goberish"}]
participant_count
8
participants
[{"email": "paul.franke@morelandconnect.com", "name": null}, {"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "michael.greenbaum@safeguardproperties.com", "name": null}, {"email": "scott.heller@safeguardproperties.com", "name": null}, {"email": "steve.goberish@safeguardproperties.com", "name": null}, {"email": "lisa.tsouris@safeguardproperties.com", "name": null}, {"email": "sam.wilsey@morelandconnect.com", "name": null}]
provider
fireflies
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| fireflies | 01KJWXMNY4CVRXRQKWD1DRNAV2 | Ascend - FOUNDATION Demo | 0.80 | fuzzy+embedding | Active |
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| fireflies | 01KTSCGFE9Q47Q3J1W2JAN009J | Foundation compute usage pricing | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KTSCGFE9Q47Q3J1W2JAN009J
title
Foundation compute usage pricing
date
2026-06-11 14:30:00+00:00
duration_minutes
27
duration
27
transcript_url
https://app.fireflies.ai/view/01KTSCGFE9Q47Q3J1W2JAN009J
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_MjMxZGVmN2EtMjk4Ny00MDdmLTlkMjgtZTI1ZmQ0Mjk1OTQw@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"ff002609-f1ee-4781-9b66-bf0b60b34b11"}
short_summary
The team discussed the significant costs associated with AI-driven workflows, noting that AI token expenses comprise 65% of current costs, totaling around $4,500 monthly for 10,000 orders. A new pricing model was proposed that combines a $1,300 managed services fee with usage-based overage charges to promote cost control and client engagement. Furthermore, they mentioned fee waivers for clients spending over $300,000 to enhance relationships. The conversation also covered the evolution of the workflow architecture to a hybrid model, integrating deterministic logic with AI for better visibility, and outlined plans for performance tuning as data accumulates. Communication strategies were adjusted to clarify the nature of the recurring fee as a “managed services fee,” highlighting ongoing support.
action_items
"\\n**Mark Murphy**\\nTransfer Vercel infrastructure billing and account access to the client to improve cost visibility (06:31)\\nPrepare to discuss cost performance tuning and pricing models in the upcoming client meeting (08:31)\\nEducate client contact Greenbaum with a clear and concise explanation of the workflow architecture approaches and their limitations (24:12)\\nShare Claude\\u2019s cost visualizations and pricing recommendations with Paul Franke for review (25:23)\\nForward Safeguard meeting invites to Paul Franke as needed to keep him informed (25:50)\\n\\n**Paul Franke**\\nReview cost data and visuals shared by Mark to evaluate and contribute to the pricing strategy (25:35)\\n"
transcript_text
[{"index": 0, "text": "Hey, what's up, Paul?", "raw_text": "Hey, what's up, Paul?", "start_time": 139.89, "end_time": 140.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 1, "text": "I'm in the car.", "raw_text": "I'm in the car.", "start_time": 142.21, "end_time": 143.25, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 2, "text": "That's all good.", "raw_text": "That's all good.", "start_time": 146.69, "end_time": 147.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 3, "text": "Darn it.", "raw_text": "Darn it.", "start_time": 149.09, "end_time": 149.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 4, "text": "I got some cool graphs and stuff to show you.", "raw_text": "I got some cool graphs and stuff to show you.", "start_time": 149.61, "end_time": 151.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 5, "text": "I was gonna move this because I had.", "raw_text": "I was gonna move this because I had.", "start_time": 155.34, "end_time": 157.7, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 6, "text": "I'm going to meet Jeff, but I figured you and I can just kind of chat through things and then revisit it if we need to.", "raw_text": "I'm going to meet Jeff, but I figured you and I can just kind of chat through things and then revisit it if we need to.", "start_time": 157.7, "end_time": 167.94, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 7, "text": "If that's more.", "raw_text": "If that's more.", "start_time": 167.94, "end_time": 168.62, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 8, "text": "Yeah, that's fine.", "raw_text": "Yeah, that's fine.", "start_time": 170.86, "end_time": 171.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 9, "text": "Yeah, I can give you like a high level after a few days of kind of the, the cost where they're at.", "raw_text": "Yeah, I can give you like a high level after a few days of kind of the, the cost where they're at.", "start_time": 171.78, "end_time": 176.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 10, "text": "And then I had our good friend Claude put together some visualizations and some recommendations that I thought were pretty cool.", "raw_text": "And then I had our good friend Claude put together some visualizations and some recommendations that I thought were pretty cool.", "start_time": 176.82, "end_time": 186.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 11, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 187.51, "end_time": 188.07, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 12, "text": "What's it basing that off of the recommendations?", "raw_text": "What's it basing that off of the recommendations?", "start_time": 190.23, "end_time": 195.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 13, "text": "Let me just look through my chat real quick.", "raw_text": "Let me just look through my chat real quick.", "start_time": 200.71, "end_time": 202.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 14, "text": "So I put in, I had, I gathered like our infrastructure cost, AI cost, everything for this first like three and a half days.", "raw_text": "So I put in, I had, I gathered like our infrastructure cost, AI cost, everything for this first like three and a half days.", "start_time": 204.07, "end_time": 211.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 15, "text": "And then I gave it some background of what we're trying to do with foundation and market up the, the compute as a percentage or markup on like all those costs.", "raw_text": "And then I gave it some background of what we're trying to do with foundation and market up the, the compute as a percentage or markup on like all those costs.", "start_time": 213.36, "end_time": 225.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 16, "text": "And then I, I asked it about just common industry practice for this.", "raw_text": "And then I, I asked it about just common industry practice for this.", "start_time": 225.64, "end_time": 232.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 17, "text": "What is similar things look like and how, how would you model it given these actual costs of our first trial run.", "raw_text": "What is similar things look like and how, how would you model it given these actual costs of our first trial run.", "start_time": 232.4, "end_time": 241.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 18, "text": "Cool.", "raw_text": "Cool.", "start_time": 242.33, "end_time": 242.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 19, "text": "And so put together a decent argument.", "raw_text": "And so put together a decent argument.", "start_time": 242.77, "end_time": 247.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 20, "text": "But here, let me, let me cover like the actual cost stuff right now.", "raw_text": "But here, let me, let me cover like the actual cost stuff right now.", "start_time": 251.05, "end_time": 256.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 21, "text": "Okay.", "raw_text": "Okay.", "start_time": 258.01, "end_time": 258.53, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 22, "text": "So I, if you extrapolate this over the course of, of the month,.", "raw_text": "So I, if you extrapolate this over the course of, of the month,.", "start_time": 258.53, "end_time": 266.619, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 23, "text": "The.", "raw_text": "The.", "start_time": 268.699, "end_time": 268.979, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 24, "text": "Way it breaks down right now is for the workflow that they're running, the AI token usage is, is pretty high because of the photo analysis.", "raw_text": "Way it breaks down right now is for the workflow that they're running, the AI token usage is, is pretty high because of the photo analysis.", "start_time": 268.979, "end_time": 282.059, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 25, "text": "So it, it's probably costing them like 45 cents in total per order they run.", "raw_text": "So it, it's probably costing them like 45 cents in total per order they run.", "start_time": 282.539, "end_time": 294.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 26, "text": "So that is, you know, like, like roughly 60% of that is AI and the rest of that is like some variable infrastructure cost and then some fixed infrastructure cost.", "raw_text": "So that is, you know, like, like roughly 60% of that is AI and the rest of that is like some variable infrastructure cost and then some fixed infrastructure cost.", "start_time": 294.55, "end_time": 307.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 27, "text": "So if, if they would run like just this workflow at the rate that they are, which is, would, which would be like 10,000 orders a month.", "raw_text": "So if, if they would run like just this workflow at the rate that they are, which is, would, which would be like 10,000 orders a month.", "start_time": 311.35, "end_time": 322.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 28, "text": "Like they're running decently hot.", "raw_text": "Like they're running decently hot.", "start_time": 322.47, "end_time": 324.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 29, "text": "Yeah, it would probably be in the 45 to $4,600 range.", "raw_text": "Yeah, it would probably be in the 45 to $4,600 range.", "start_time": 325.03, "end_time": 332.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 30, "text": "Wow.", "raw_text": "Wow.", "start_time": 334.47, "end_time": 334.95, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 31, "text": "Yeah, which, which feels pretty high.", "raw_text": "Yeah, which, which feels pretty high.", "start_time": 337.68, "end_time": 339.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 32, "text": "And I would say like 65% of that is just AI token cost.", "raw_text": "And I would say like 65% of that is just AI token cost.", "start_time": 339.6, "end_time": 345.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 33, "text": "And they don't, they don't have visibility to this yet.", "raw_text": "And they don't, they don't have visibility to this yet.", "start_time": 346.72, "end_time": 350.72, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 34, "text": "Like they don't have an idea that kind of cost is coming.", "raw_text": "Like they don't have an idea that kind of cost is coming.", "start_time": 351.6, "end_time": 354.88, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 35, "text": "They, they have an idea I think on the, on the AI side.", "raw_text": "They, they have an idea I think on the, on the AI side.", "start_time": 357.28, "end_time": 361.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 36, "text": "But this is like this volume that they're pumping through is different than what they expressed.", "raw_text": "But this is like this volume that they're pumping through is different than what they expressed.", "start_time": 363.16, "end_time": 368.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 37, "text": "So I told them like based on the number of photos, you know, these things are going to cost anywhere from like you know, 10 cents an order to you know, 50 cents plus.", "raw_text": "So I told them like based on the number of photos, you know, these things are going to cost anywhere from like you know, 10 cents an order to you know, 50 cents plus.", "start_time": 368.76, "end_time": 383.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 38, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 383.72, "end_time": 384.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 39, "text": "So they know that and then they know how many orders are doing.", "raw_text": "So they know that and then they know how many orders are doing.", "start_time": 385.32, "end_time": 389.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 40, "text": "I think what we're going to have to do though is transfer all this vercel infrastructure just into their account so they can see all that more clearly.", "raw_text": "I think what we're going to have to do though is transfer all this vercel infrastructure just into their account so they can see all that more clearly.", "start_time": 390.99, "end_time": 399.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 41, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 399.95, "end_time": 400.43, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 42, "text": "And that are we.", "raw_text": "And that are we.", "start_time": 402.35, "end_time": 405.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 43, "text": "Where is that cost?", "raw_text": "Where is that cost?", "start_time": 405.629, "end_time": 406.75, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 44, "text": "Who's incurring that cost right now?", "raw_text": "Who's incurring that cost right now?", "start_time": 406.83, "end_time": 408.75, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 45, "text": "Is that us?", "raw_text": "Is that us?", "start_time": 409.87, "end_time": 410.55, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 46, "text": "And we're charging it through.", "raw_text": "And we're charging it through.", "start_time": 410.55, "end_time": 411.71, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 47, "text": "So for the token cost, the AI token cost they're incurring.", "raw_text": "So for the token cost, the AI token cost they're incurring.", "start_time": 413.63, "end_time": 416.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 48, "text": "The only thing that we're incurring is the fixed share costs which up to up until this week has been like negligible and then we would charge through the infrastructure costs.", "raw_text": "The only thing that we're incurring is the fixed share costs which up to up until this week has been like negligible and then we would charge through the infrastructure costs.", "start_time": 418.5, "end_time": 430.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 49, "text": "So.", "raw_text": "So.", "start_time": 443.87, "end_time": 444.11, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 50, "text": "Yeah, wow.", "raw_text": "Yeah, wow.", "start_time": 444.75, "end_time": 446.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 51, "text": "Interesting.", "raw_text": "Interesting.", "start_time": 446.75, "end_time": 447.39, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 52, "text": "So it's interesting to see and I think given the workflow they're running through right now, it being pretty photo intensive I think is a decently expensive workflow.", "raw_text": "So it's interesting to see and I think given the workflow they're running through right now, it being pretty photo intensive I think is a decently expensive workflow.", "start_time": 448.67, "end_time": 460.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 53, "text": "Some of their other ones like their, their messaging bot won't be as nearly as expensive.", "raw_text": "Some of their other ones like their, their messaging bot won't be as nearly as expensive.", "start_time": 462.35, "end_time": 467.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 54, "text": "Yeah, same with, same with some of the other workflows they're mentioned.", "raw_text": "Yeah, same with, same with some of the other workflows they're mentioned.", "start_time": 469.4, "end_time": 473.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 55, "text": "And one thing I'll say, like we haven't really done any cost performance tuning on this because we're waiting for the data.", "raw_text": "And one thing I'll say, like we haven't really done any cost performance tuning on this because we're waiting for the data.", "start_time": 474.68, "end_time": 482.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 56, "text": "Right.", "raw_text": "Right.", "start_time": 483, "end_time": 483.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 57, "text": "So yeah, there's definitely levers we could pull or cheaper models you could probably use to get stuff down a little bit more.", "raw_text": "So yeah, there's definitely levers we could pull or cheaper models you could probably use to get stuff down a little bit more.", "start_time": 483.64, "end_time": 492.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 58, "text": "And have we, have we set that expectation yet?", "raw_text": "And have we, have we set that expectation yet?", "start_time": 498.69, "end_time": 502.05, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 59, "text": "Like hey, there's going to be some performance tuning that we're going to want to do here?", "raw_text": "Like hey, there's going to be some performance tuning that we're going to want to do here?", "start_time": 502.29, "end_time": 507.41, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 60, "text": "No, no, we haven't set that yet.", "raw_text": "No, no, we haven't set that yet.", "start_time": 511.17, "end_time": 513.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 61, "text": "I think that's probably a conversation for honestly probably tomorrow since we're running this thing full bore now in production.", "raw_text": "I think that's probably a conversation for honestly probably tomorrow since we're running this thing full bore now in production.", "start_time": 513.09, "end_time": 521.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 62, "text": "Yeah, we, we gave them a little bit of the light data from some of their like trial runs they would do.", "raw_text": "Yeah, we, we gave them a little bit of the light data from some of their like trial runs they would do.", "start_time": 522.05, "end_time": 528.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 63, "text": "But running running like 400 orders a day is different than twine trying like 20 at a time.", "raw_text": "But running running like 400 orders a day is different than twine trying like 20 at a time.", "start_time": 528.93, "end_time": 538.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 64, "text": "So.", "raw_text": "So.", "start_time": 538.29, "end_time": 538.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 65, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 539.57, "end_time": 541.09, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 66, "text": "So what are the, what are the compute based pricing recommendations Colette came up with?", "raw_text": "So what are the, what are the compute based pricing recommendations Colette came up with?", "start_time": 544.29, "end_time": 551.9, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 67, "text": "So let me get this pulled up.", "raw_text": "So let me get this pulled up.", "start_time": 554.62, "end_time": 556.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 68, "text": "So the one thing I think is, I thought was interesting is and makes sense is that most people with something like this go with a hybrid approach which is part platform fee a month and with that platform fee you get some amount of included usage and then all your overage on that usage would get billed at a certain rate.", "raw_text": "So the one thing I think is, I thought was interesting is and makes sense is that most people with something like this go with a hybrid approach which is part platform fee a month and with that platform fee you get some amount of included usage and then all your overage on that usage would get billed at a certain rate.", "start_time": 559.9, "end_time": 591.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 69, "text": "That makes sense.", "raw_text": "That makes sense.", "start_time": 593.54, "end_time": 594.66, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 70, "text": "So and, and, and what that does is it helps like it helps make that cost a little more durable because like if we're, we're obviously gonna want, they're gonna want us to make that cost as minimal as possible for like, usage.", "raw_text": "So and, and, and what that does is it helps like it helps make that cost a little more durable because like if we're, we're obviously gonna want, they're gonna want us to make that cost as minimal as possible for like, usage.", "start_time": 595.54, "end_time": 617.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 71, "text": "So like, all we're doing there is kind of fighting against ourselves as opposed to if we have a base and they're tracking on the overages, you know, they're, they're, they're incentivized to go up to higher platform tiers to get more included usage so that they're not getting charged for overages.", "raw_text": "So like, all we're doing there is kind of fighting against ourselves as opposed to if we have a base and they're tracking on the overages, you know, they're, they're, they're incentivized to go up to higher platform tiers to get more included usage so that they're not getting charged for overages.", "start_time": 618, "end_time": 634.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 72, "text": "So that, that makes sense.", "raw_text": "So that, that makes sense.", "start_time": 637.31, "end_time": 640.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 73, "text": "So if, if we just did a 30% markup on their current run rate for this workflow, so like it's costing them 4,500amonth.", "raw_text": "So if, if we just did a 30% markup on their current run rate for this workflow, so like it's costing them 4,500amonth.", "start_time": 640.95, "end_time": 651.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 74, "text": "You know, that would, that would be about 1300amonth for us.", "raw_text": "You know, that would, that would be about 1300amonth for us.", "start_time": 652.28, "end_time": 655.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 75, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 660.36, "end_time": 660.84, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 76, "text": "So then, you know, if you were able to put a platform fee underneath that for the year like that we were talking about of, you know, like 36K, it starts to look a little bit more compelling.", "raw_text": "So then, you know, if you were able to put a platform fee underneath that for the year like that we were talking about of, you know, like 36K, it starts to look a little bit more compelling.", "start_time": 662.92, "end_time": 675.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 77, "text": "Yep.", "raw_text": "Yep.", "start_time": 676.2, "end_time": 676.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 78, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 677.97, "end_time": 678.37, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 79, "text": "Is it, is it basing the, is it just taking like a percentage of the total compute costs, including the token costs?", "raw_text": "Is it, is it basing the, is it just taking like a percentage of the total compute costs, including the token costs?", "start_time": 681.73, "end_time": 694.77, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 80, "text": "Token usage?", "raw_text": "Token usage?", "start_time": 695.73, "end_time": 696.69, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 81, "text": "Yeah, for that, that one would be tokens included.", "raw_text": "Yeah, for that, that one would be tokens included.", "start_time": 697.25, "end_time": 699.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 82, "text": "Yep.", "raw_text": "Yep.", "start_time": 700.13, "end_time": 700.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 83, "text": "Okay.", "raw_text": "Okay.", "start_time": 700.61, "end_time": 703.03, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 84, "text": "And that's, I think that's another reason to kind of lean into the platform feed because right now the token cost is like 65% of this.", "raw_text": "And that's, I think that's another reason to kind of lean into the platform feed because right now the token cost is like 65% of this.", "start_time": 705.26, "end_time": 714.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 85, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 717.58, "end_time": 718.06, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 86, "text": "So, you know, if that, if that infra cost is only like, I don't know, say $1,500 a month and we're 30% on that, that's just kind of like pennies to us.", "raw_text": "So, you know, if that, if that infra cost is only like, I don't know, say $1,500 a month and we're 30% on that, that's just kind of like pennies to us.", "start_time": 720.94, "end_time": 733.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 87, "text": "Yeah, it's pretty insignificant.", "raw_text": "Yeah, it's pretty insignificant.", "start_time": 737.49, "end_time": 739.81, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 88, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 740.29, "end_time": 740.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 89, "text": "We could just work two, you know, two hours of services and call it.", "raw_text": "We could just work two, you know, two hours of services and call it.", "start_time": 740.65, "end_time": 744.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 90, "text": "I'll see if I can.", "raw_text": "I'll see if I can.", "start_time": 756.54, "end_time": 757.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 91, "text": "The other thing I'm thinking about is like, So we had talked about.", "raw_text": "The other thing I'm thinking about is like, So we had talked about.", "start_time": 758.3, "end_time": 767.34, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 92, "text": "All right, we're going to come up with, here's the pricing, here's the platform fee.", "raw_text": "All right, we're going to come up with, here's the pricing, here's the platform fee.", "start_time": 768.38, "end_time": 773.18, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 93, "text": "It's compute usage based, but if you're spending, you know, $300,000 in services with us, we'll waive the platform to you.", "raw_text": "It's compute usage based, but if you're spending, you know, $300,000 in services with us, we'll waive the platform to you.", "start_time": 773.5, "end_time": 785.46, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 94, "text": "However, what we don't want to do is continue to incur increasing compute costs that we're eating.", "raw_text": "However, what we don't want to do is continue to incur increasing compute costs that we're eating.", "start_time": 786.42, "end_time": 798.019, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 95, "text": "Like, I don't, I don't want to do that either.", "raw_text": "Like, I don't, I don't want to do that either.", "start_time": 798.26, "end_time": 800.26, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 96, "text": "100%.", "raw_text": "100%.", "start_time": 800.66, "end_time": 802.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 97, "text": "So, hi, I threw together and this is like maybe a month or a month or two ago now when we were looking at like the profitability analysis of all our clients and splitting them into like two groups, like one who would just who are more like on demand versus ones who are like on average, a retainer slash subscription.", "raw_text": "So, hi, I threw together and this is like maybe a month or a month or two ago now when we were looking at like the profitability analysis of all our clients and splitting them into like two groups, like one who would just who are more like on demand versus ones who are like on average, a retainer slash subscription.", "start_time": 804.5, "end_time": 825.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 98, "text": "It ends up, it's the same exact discussion.", "raw_text": "It ends up, it's the same exact discussion.", "start_time": 828.82, "end_time": 831.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 99, "text": "It's, hey, if you're just on demand, we're going to mark your stuff up.", "raw_text": "It's, hey, if you're just on demand, we're going to mark your stuff up.", "start_time": 831.7, "end_time": 836.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 100, "text": "But if we're doing a lot of work for you, we'll just pass that cost through.", "raw_text": "But if we're doing a lot of work for you, we'll just pass that cost through.", "start_time": 836.93, "end_time": 840.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 101, "text": "Yeah, that, that cost may be a little variable and increase with your usage, but we're still just passing it through.", "raw_text": "Yeah, that, that cost may be a little variable and increase with your usage, but we're still just passing it through.", "start_time": 841.65, "end_time": 850.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 102, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 852.85, "end_time": 854.21, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 103, "text": "So we could say, okay, we're going to come up.", "raw_text": "So we could say, okay, we're going to come up.", "start_time": 854.93, "end_time": 857.01, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 104, "text": "This is the, here's the platform fee and there's tiers and you get a certain level of usage included at these various tiers and the usage is based on compute.", "raw_text": "This is the, here's the platform fee and there's tiers and you get a certain level of usage included at these various tiers and the usage is based on compute.", "start_time": 857.81, "end_time": 877.02, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 105, "text": "If you spend, I'm making up a number, 300 grand with us and services, we're going to waive the platform fee.", "raw_text": "If you spend, I'm making up a number, 300 grand with us and services, we're going to waive the platform fee.", "start_time": 882.3, "end_time": 891.13, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 106, "text": "However, we are going to pass through the raw infrastructure compute costs to you as expense.", "raw_text": "However, we are going to pass through the raw infrastructure compute costs to you as expense.", "start_time": 891.61, "end_time": 906.09, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 107, "text": "Yep.", "raw_text": "Yep.", "start_time": 908.33, "end_time": 908.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 108, "text": "Yeah, exactly.", "raw_text": "Yeah, exactly.", "start_time": 909.05, "end_time": 910.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 109, "text": "Then if you fall below a services threshold, then the platform feed kicks in.", "raw_text": "Then if you fall below a services threshold, then the platform feed kicks in.", "start_time": 911.69, "end_time": 921.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 110, "text": "Yep.", "raw_text": "Yep.", "start_time": 923.94, "end_time": 924.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 111, "text": "And.", "raw_text": "And.", "start_time": 924.66, "end_time": 925.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 112, "text": "And really, and really, when you think about it like if, if we even go more general outside of foundation, like, that's like a managed services fee.", "raw_text": "And really, and really, when you think about it like if, if we even go more general outside of foundation, like, that's like a managed services fee.", "start_time": 925.46, "end_time": 933.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 113, "text": "Right.", "raw_text": "Right.", "start_time": 933.9, "end_time": 934.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 114, "text": "So if, if you're, we're not doing services work for you, you're.", "raw_text": "So if, if you're, we're not doing services work for you, you're.", "start_time": 934.5, "end_time": 938.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 115, "text": "You're paying a managed services fee because we're still quote unquote, doing work for you.", "raw_text": "You're paying a managed services fee because we're still quote unquote, doing work for you.", "start_time": 938.82, "end_time": 944.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 116, "text": "Upkeep and maintenance and.", "raw_text": "Upkeep and maintenance and.", "start_time": 945.49, "end_time": 947.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 117, "text": "But if you're doing a lot of stuff with us, we'll just pass that through because you're already paying us enough.", "raw_text": "But if you're doing a lot of stuff with us, we'll just pass that through because you're already paying us enough.", "start_time": 947.81, "end_time": 952.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 118, "text": "Yep, yep.", "raw_text": "Yep, yep.", "start_time": 953.09, "end_time": 955.65, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 119, "text": "I like that.", "raw_text": "I like that.", "start_time": 955.65, "end_time": 956.45, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 120, "text": "I also like calling it a managed services fee as opposed to a platform.", "raw_text": "I also like calling it a managed services fee as opposed to a platform.", "start_time": 957.01, "end_time": 963.49, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 121, "text": "Fee.", "raw_text": "Fee.", "start_time": 965.25, "end_time": 965.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 122, "text": "I think,.", "raw_text": "I think,.", "start_time": 968.22, "end_time": 968.62, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 123, "text": "I think now that you say it.", "raw_text": "I think now that you say it.", "start_time": 972.54, "end_time": 973.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 124, "text": "I think I like that too because it aligns more with the class B software.", "raw_text": "I think I like that too because it aligns more with the class B software.", "start_time": 973.86, "end_time": 979.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 125, "text": "Like, this is something you.", "raw_text": "Like, this is something you.", "start_time": 981.58, "end_time": 983.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 126, "text": "I think it's class B. I think this is something that you own that's custom that we're maintaining for you.", "raw_text": "I think it's class B. I think this is something that you own that's custom that we're maintaining for you.", "start_time": 983.74, "end_time": 990.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 127, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 990.94, "end_time": 992.95, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 128, "text": "And like, I feel like.", "raw_text": "And like, I feel like.", "start_time": 996.55, "end_time": 999.19, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 129, "text": "When you call it a platform fee, they're thinking it's, It's a sunk software cost.", "raw_text": "When you call it a platform fee, they're thinking it's, It's a sunk software cost.", "start_time": 1003.67, "end_time": 1020.8, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 130, "text": "Whereas managed services fee automatically, as part of the definition of managed services is that we are doing things.", "raw_text": "Whereas managed services fee automatically, as part of the definition of managed services is that we are doing things.", "start_time": 1024.08, "end_time": 1036, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 131, "text": "Yes, Yep.", "raw_text": "Yes, Yep.", "start_time": 1036.8, "end_time": 1038, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 132, "text": "For you, it's not just.", "raw_text": "For you, it's not just.", "start_time": 1038, "end_time": 1039.76, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 133, "text": "You're just paying for software, it's a different category and assumes there's work being done.", "raw_text": "You're just paying for software, it's a different category and assumes there's work being done.", "start_time": 1039.84, "end_time": 1047.62, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 134, "text": "One 100%.", "raw_text": "One 100%.", "start_time": 1048.66, "end_time": 1050.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 135, "text": "Yeah, I do like that because my, my, my pie in the sky dream is that like, that becomes like our language, like across the board.", "raw_text": "Yeah, I do like that because my, my, my pie in the sky dream is that like, that becomes like our language, like across the board.", "start_time": 1053.94, "end_time": 1066.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 136, "text": "Like and, and foundation is just like a type of managed services.", "raw_text": "Like and, and foundation is just like a type of managed services.", "start_time": 1067.46, "end_time": 1073.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 137, "text": "Right.", "raw_text": "Right.", "start_time": 1074.01, "end_time": 1074.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 138, "text": "It's just an infrastructure piece.", "raw_text": "It's just an infrastructure piece.", "start_time": 1074.33, "end_time": 1076.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 139, "text": "It's not, it's not necessarily seen as a product but a tool.", "raw_text": "It's not, it's not necessarily seen as a product but a tool.", "start_time": 1076.65, "end_time": 1081.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 140, "text": "Because, because if we do that, then we can like speak the same language across the board for, for everything we do.", "raw_text": "Because, because if we do that, then we can like speak the same language across the board for, for everything we do.", "start_time": 1084.17, "end_time": 1090.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 141, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1092.57, "end_time": 1093.05, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 142, "text": "Yep.", "raw_text": "Yep.", "start_time": 1093.05, "end_time": 1093.53, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 143, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1093.53, "end_time": 1094.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 144, "text": "You know, if you're on if you're on, we have two plans.", "raw_text": "You know, if you're on if you're on, we have two plans.", "start_time": 1094.41, "end_time": 1098.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 145, "text": "Once we get past your first like pilot production bill, you can either get on the on demand plan that comes with a managed services fee and a markup on, you know, infrastructure or whatever.", "raw_text": "Once we get past your first like pilot production bill, you can either get on the on demand plan that comes with a managed services fee and a markup on, you know, infrastructure or whatever.", "start_time": 1098.06, "end_time": 1109.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 146, "text": "Or if you get on a subscription, an MC plus subscription with us.", "raw_text": "Or if you get on a subscription, an MC plus subscription with us.", "start_time": 1110.34, "end_time": 1114.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 147, "text": "Here are the tiers, here's what you get.", "raw_text": "Here are the tiers, here's what you get.", "start_time": 1115.06, "end_time": 1116.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 148, "text": "We would waive the managed services fee and yada yada, yada, yada.", "raw_text": "We would waive the managed services fee and yada yada, yada, yada.", "start_time": 1117.38, "end_time": 1122.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 149, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1124.48, "end_time": 1124.8, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 150, "text": "Yep.", "raw_text": "Yep.", "start_time": 1126.48, "end_time": 1127.08, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 151, "text": "Yep.", "raw_text": "Yep.", "start_time": 1127.08, "end_time": 1127.52, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 152, "text": "Cool.", "raw_text": "Cool.", "start_time": 1128.24, "end_time": 1128.72, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 153, "text": "Love it.", "raw_text": "Love it.", "start_time": 1129.44, "end_time": 1130.08, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 154, "text": "How much, how much longer are they running these tests before you think they're going to say, okay, let's turn this soccer on.", "raw_text": "How much, how much longer are they running these tests before you think they're going to say, okay, let's turn this soccer on.", "start_time": 1139.36, "end_time": 1151.12, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 155, "text": "So, so this week this data is.", "raw_text": "So, so this week this data is.", "start_time": 1154.35, "end_time": 1157.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 156, "text": "Is they turned it on on Monday?", "raw_text": "Is they turned it on on Monday?", "start_time": 1157.91, "end_time": 1159.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 157, "text": "Oh, they did.", "raw_text": "Oh, they did.", "start_time": 1160.51, "end_time": 1161.27, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 158, "text": "So this is live.", "raw_text": "So this is live.", "start_time": 1161.27, "end_time": 1162.11, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 159, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1162.59, "end_time": 1163.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 160, "text": "So we're, we're getting like 400 orders a day.", "raw_text": "So we're, we're getting like 400 orders a day.", "start_time": 1163.19, "end_time": 1165.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 161, "text": "Stuff's cranking through.", "raw_text": "Stuff's cranking through.", "start_time": 1166.43, "end_time": 1167.709, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 162, "text": "Cool.", "raw_text": "Cool.", "start_time": 1170.03, "end_time": 1170.59, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 163, "text": "And I think that's why all this discussion's starting to happen.", "raw_text": "And I think that's why all this discussion's starting to happen.", "start_time": 1173.47, "end_time": 1176.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 164, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1177.65, "end_time": 1177.97, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 165, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1180.53, "end_time": 1181.09, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 166, "text": "Okay.", "raw_text": "Okay.", "start_time": 1182.05, "end_time": 1182.61, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 167, "text": "So yeah, I'll be interested to see like a week or two of this data.", "raw_text": "So yeah, I'll be interested to see like a week or two of this data.", "start_time": 1187.25, "end_time": 1191.57, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 168, "text": "Yeah, me too.", "raw_text": "Yeah, me too.", "start_time": 1196.05, "end_time": 1197.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 169, "text": "And I'm, I'm curious to see what, how they're feeling about things on our meeting tomorrow now that it's been running.", "raw_text": "And I'm, I'm curious to see what, how they're feeling about things on our meeting tomorrow now that it's been running.", "start_time": 1197.57, "end_time": 1208.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 170, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1211.02, "end_time": 1212.22, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 171, "text": "Because I, I saw.", "raw_text": "Because I, I saw.", "start_time": 1213.74, "end_time": 1214.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 172, "text": "You saw green bombs.", "raw_text": "You saw green bombs.", "start_time": 1215.5, "end_time": 1216.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 173, "text": "I don't know if you saw that email I forwarded over.", "raw_text": "I don't know if you saw that email I forwarded over.", "start_time": 1217.26, "end_time": 1219.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 174, "text": "Done.", "raw_text": "Done.", "start_time": 1221.18, "end_time": 1221.58, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 175, "text": "His.", "raw_text": "His.", "start_time": 1221.58, "end_time": 1221.98, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 176, "text": "I'm assuming that something green bomb created that.", "raw_text": "I'm assuming that something green bomb created that.", "start_time": 1222.14, "end_time": 1224.86, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 177, "text": "The Orchestrator with these agents.", "raw_text": "The Orchestrator with these agents.", "start_time": 1225.66, "end_time": 1229.63, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 178, "text": "The grass.", "raw_text": "The grass.", "start_time": 1229.63, "end_time": 1231.23, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 179, "text": "Grass cut agent.", "raw_text": "Grass cut agent.", "start_time": 1231.23, "end_time": 1232.51, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 180, "text": "Yeah, he's.", "raw_text": "Yeah, he's.", "start_time": 1233.63, "end_time": 1234.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 181, "text": "Yes.", "raw_text": "Yes.", "start_time": 1235.23, "end_time": 1235.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 182, "text": "I don't, I don't know.", "raw_text": "I don't, I don't know.", "start_time": 1235.95, "end_time": 1237.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 183, "text": "I think in his mind the technical aspect of this and architecture is so much more easy and not complicated.", "raw_text": "I think in his mind the technical aspect of this and architecture is so much more easy and not complicated.", "start_time": 1239.63, "end_time": 1246.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 184, "text": "So I'm gonna, I'm gonna push back lightly and offer that up for discussion tomorrow on, on the holes and, and what he's saying.", "raw_text": "So I'm gonna, I'm gonna push back lightly and offer that up for discussion tomorrow on, on the holes and, and what he's saying.", "start_time": 1247.55, "end_time": 1257.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 185, "text": "Yeah, he, he does need some education.", "raw_text": "Yeah, he, he does need some education.", "start_time": 1259.7, "end_time": 1262.74, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 186, "text": "Like this is, it's not exactly what you think, Mike.", "raw_text": "Like this is, it's not exactly what you think, Mike.", "start_time": 1263.14, "end_time": 1268.18, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 187, "text": "And, and that's the, with, with this one in particular, like for the sub vacant, we, we tried to go the agent route initially and just with the amount of data, it's just, it's just not possible.", "raw_text": "And, and that's the, with, with this one in particular, like for the sub vacant, we, we tried to go the agent route initially and just with the amount of data, it's just, it's just not possible.", "start_time": 1270.42, "end_time": 1283.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 188, "text": "We can't handle an agent.", "raw_text": "We can't handle an agent.", "start_time": 1283.98, "end_time": 1285.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 189, "text": "The tools and the logic and have it do it in a performant and cost effective manner.", "raw_text": "The tools and the logic and have it do it in a performant and cost effective manner.", "start_time": 1285.74, "end_time": 1291.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 190, "text": "Why is that?", "raw_text": "Why is that?", "start_time": 1295.02, "end_time": 1296.379, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 191, "text": "Like, what is the difference between the approach that you were trying to take initially and how we ultimately had to do it.", "raw_text": "Like, what is the difference between the approach that you were trying to take initially and how we ultimately had to do it.", "start_time": 1296.38, "end_time": 1303.34, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 192, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1306.39, "end_time": 1306.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 193, "text": "So if you, if you show up to engineering showcase next week, that'll be the topic.", "raw_text": "So if you, if you show up to engineering showcase next week, that'll be the topic.", "start_time": 1306.75, "end_time": 1312.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 194, "text": "But there's a little preview.", "raw_text": "But there's a little preview.", "start_time": 1313.43, "end_time": 1315.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 195, "text": "But the, the TLDR is like, there's so much data being thrown at the agent, it can't, it's not good at translating it like in a deterministic, like manner.", "raw_text": "But the, the TLDR is like, there's so much data being thrown at the agent, it can't, it's not good at translating it like in a deterministic, like manner.", "start_time": 1315.83, "end_time": 1331.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 196, "text": "So, like when it fetches an order and that order has 500 photos, it has to like, look at the tools it has.", "raw_text": "So, like when it fetches an order and that order has 500 photos, it has to like, look at the tools it has.", "start_time": 1331.27, "end_time": 1338.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 197, "text": "Oh, I want to use the analyze photos tool.", "raw_text": "Oh, I want to use the analyze photos tool.", "start_time": 1338.91, "end_time": 1341.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 198, "text": "I know I need to use that tool, but now I got to take all this data and package it up in a way that that tool can use it.", "raw_text": "I know I need to use that tool, but now I got to take all this data and package it up in a way that that tool can use it.", "start_time": 1341.31, "end_time": 1347.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 199, "text": "And like that orchestration is.", "raw_text": "And like that orchestration is.", "start_time": 1348.19, "end_time": 1351.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 200, "text": "Is.", "raw_text": "Is.", "start_time": 1351.27, "end_time": 1351.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 201, "text": "Is takes time, like the thinking, and it's just slow and it takes a lot of tokens.", "raw_text": "Is takes time, like the thinking, and it's just slow and it takes a lot of tokens.", "start_time": 1351.87, "end_time": 1359.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 202, "text": "So then, then we tried.", "raw_text": "So then, then we tried.", "start_time": 1361.63, "end_time": 1363.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 203, "text": "That's like the one extreme is like, here's an agent, Give it tools, give it a prompt.", "raw_text": "That's like the one extreme is like, here's an agent, Give it tools, give it a prompt.", "start_time": 1363.43, "end_time": 1367.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 204, "text": "This is what we want to do, try to solve it.", "raw_text": "This is what we want to do, try to solve it.", "start_time": 1367.19, "end_time": 1369.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 205, "text": "And then the other end of that spectrum is a complete, like we're just writing it in code, right?", "raw_text": "And then the other end of that spectrum is a complete, like we're just writing it in code, right?", "start_time": 1369.71, "end_time": 1375.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 206, "text": "Like, this is just a determining deterministic workflow with steps one through 10.", "raw_text": "Like, this is just a determining deterministic workflow with steps one through 10.", "start_time": 1375.87, "end_time": 1382.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 207, "text": "You know, step three and step seven may use some AI to analyze some text or to analyze some photos.", "raw_text": "You know, step three and step seven may use some AI to analyze some text or to analyze some photos.", "start_time": 1382.35, "end_time": 1390.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 208, "text": "But, like, that's all controlled in code.", "raw_text": "But, like, that's all controlled in code.", "start_time": 1391.02, "end_time": 1393.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 209, "text": "That was the second test we did, and I think that worked.", "raw_text": "That was the second test we did, and I think that worked.", "start_time": 1396.22, "end_time": 1400.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 210, "text": "It works really well, but there's zero visibility for them in that phase.", "raw_text": "It works really well, but there's zero visibility for them in that phase.", "start_time": 1400.86, "end_time": 1407.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 211, "text": "Okay, so then the third iteration, which we're on now, is taking that concept and putting it into this workflow builder so that you get like the best of both of all worlds.", "raw_text": "Okay, so then the third iteration, which we're on now, is taking that concept and putting it into this workflow builder so that you get like the best of both of all worlds.", "start_time": 1407.58, "end_time": 1419, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 212, "text": "So you can do deterministic steps that like, hey, we don't need any AI for this.", "raw_text": "So you can do deterministic steps that like, hey, we don't need any AI for this.", "start_time": 1419, "end_time": 1425.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 213, "text": "Like, it's going to be step one, two, three every time.", "raw_text": "Like, it's going to be step one, two, three every time.", "start_time": 1425.32, "end_time": 1427.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 214, "text": "And it doesn't have to figure out how to transform or orchestrate data.", "raw_text": "And it doesn't have to figure out how to transform or orchestrate data.", "start_time": 1428.68, "end_time": 1432.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 215, "text": "But then when you need AI, you can still use it.", "raw_text": "But then when you need AI, you can still use it.", "start_time": 1432.84, "end_time": 1435.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 216, "text": "And then it's also all visible.", "raw_text": "And then it's also all visible.", "start_time": 1435.24, "end_time": 1437.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 217, "text": "So you can look into the.", "raw_text": "So you can look into the.", "start_time": 1440.05, "end_time": 1441.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 218, "text": "You can look into the prompts, you can look into the business logic, the transform code, and then you get, I think, all the observability and stuff that comes with it.", "raw_text": "You can look into the prompts, you can look into the business logic, the transform code, and then you get, I think, all the observability and stuff that comes with it.", "start_time": 1441.09, "end_time": 1451.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 219, "text": "Yeah, I think that you should explain it to Greenbaum exactly the way you just explained it to me, exactly the way that.", "raw_text": "Yeah, I think that you should explain it to Greenbaum exactly the way you just explained it to me, exactly the way that.", "start_time": 1452.37, "end_time": 1461.05, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 220, "text": "Because that took you, what, 60 seconds?", "raw_text": "Because that took you, what, 60 seconds?", "start_time": 1461.05, "end_time": 1463.49, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 221, "text": "And it was very clear to me what the difference is.", "raw_text": "And it was very clear to me what the difference is.", "start_time": 1464.74, "end_time": 1469.3, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 222, "text": "And the three stages that we went through to land on where we are now with them.", "raw_text": "And the three stages that we went through to land on where we are now with them.", "start_time": 1469.78, "end_time": 1475.42, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 223, "text": "And I think he would.", "raw_text": "And I think he would.", "start_time": 1475.42, "end_time": 1476.5, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 224, "text": "I think that he would.", "raw_text": "I think that he would.", "start_time": 1476.66, "end_time": 1477.86, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 225, "text": "He could digest that.", "raw_text": "He could digest that.", "start_time": 1477.86, "end_time": 1478.98, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 226, "text": "Okay.", "raw_text": "Okay.", "start_time": 1480.82, "end_time": 1481.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 227, "text": "Yeah, I think I can do that.", "raw_text": "Yeah, I think I can do that.", "start_time": 1481.54, "end_time": 1483.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 228, "text": "What you just.", "raw_text": "What you just.", "start_time": 1483.22, "end_time": 1483.9, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 229, "text": "What you just ran through with me was absolutely perfect.", "raw_text": "What you just ran through with me was absolutely perfect.", "start_time": 1483.9, "end_time": 1486.34, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 230, "text": "Then, heck, I'll do some.", "raw_text": "Then, heck, I'll do some.", "start_time": 1489.79, "end_time": 1490.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 231, "text": "I'll do some double duty and I can prep my slide deck for next week at the same time to show to our team.", "raw_text": "I'll do some double duty and I can prep my slide deck for next week at the same time to show to our team.", "start_time": 1491.47, "end_time": 1502.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 232, "text": "So that'll be good.", "raw_text": "So that'll be good.", "start_time": 1502.51, "end_time": 1503.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 233, "text": "Cool, Cool.", "raw_text": "Cool, Cool.", "start_time": 1504.51, "end_time": 1507.95, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 234, "text": "All right, good deal.", "raw_text": "All right, good deal.", "start_time": 1510.27, "end_time": 1511.39, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 235, "text": "Can you.", "raw_text": "Can you.", "start_time": 1516.14, "end_time": 1516.62, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 236, "text": "Can you send me what Claude came up with?", "raw_text": "Can you send me what Claude came up with?", "start_time": 1517.1, "end_time": 1521.82, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 237, "text": "Yeah, let me see if I can share this.", "raw_text": "Yeah, let me see if I can share this.", "start_time": 1523.34, "end_time": 1525.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 238, "text": "Can I just share this chat?", "raw_text": "Can I just share this chat?", "start_time": 1525.06, "end_time": 1526.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 239, "text": "Yeah, I'll figure out a way to get it over to you.", "raw_text": "Yeah, I'll figure out a way to get it over to you.", "start_time": 1530.94, "end_time": 1534.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 240, "text": "All right, cool.", "raw_text": "All right, cool.", "start_time": 1535.74, "end_time": 1536.54, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 241, "text": "All right, good deal.", "raw_text": "All right, good deal.", "start_time": 1539.42, "end_time": 1540.62, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 242, "text": "All right,.", "raw_text": "All right,.", "start_time": 1541.84, "end_time": 1542.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 243, "text": "What time is the call with Safeguard?", "raw_text": "What time is the call with Safeguard?", "start_time": 1544.32, "end_time": 1546.24, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 244, "text": "Let me look.", "raw_text": "Let me look.", "start_time": 1550.16, "end_time": 1550.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 245, "text": "So tomorrow we're on with them at 11:30 is our normal program status.", "raw_text": "So tomorrow we're on with them at 11:30 is our normal program status.", "start_time": 1551.04, "end_time": 1556.759, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 246, "text": "And then another, we have a sub vacant inspection.", "raw_text": "And then another, we have a sub vacant inspection.", "start_time": 1556.759, "end_time": 1559.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 247, "text": "Specific call at 1:30 as well.", "raw_text": "Specific call at 1:30 as well.", "start_time": 1559.96, "end_time": 1561.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 248, "text": "Do you want me to forward either of those to you?", "raw_text": "Do you want me to forward either of those to you?", "start_time": 1572.41, "end_time": 1574.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 249, "text": "I was thinking if I should I joined those or not.", "raw_text": "I was thinking if I should I joined those or not.", "start_time": 1575.77, "end_time": 1578.49, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 250, "text": "I think I'm gonna stay off of them.", "raw_text": "I think I'm gonna stay off of them.", "start_time": 1580.33, "end_time": 1581.93, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 251, "text": "Okay,.", "raw_text": "Okay,.", "start_time": 1583.21, "end_time": 1583.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 252, "text": "Well, I will see you tomorrow.", "raw_text": "Well, I will see you tomorrow.", "start_time": 1588.73, "end_time": 1591.61, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 253, "text": "All right, sounds like a plan.", "raw_text": "All right, sounds like a plan.", "start_time": 1593.38, "end_time": 1594.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 254, "text": "I'm gonna go get some lunch here and head over to Hinkley.", "raw_text": "I'm gonna go get some lunch here and head over to Hinkley.", "start_time": 1594.54, "end_time": 1597.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 255, "text": "Oh, cool.", "raw_text": "Oh, cool.", "start_time": 1598.66, "end_time": 1599.38, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 256, "text": "All right, good deal.", "raw_text": "All right, good deal.", "start_time": 1602.02, "end_time": 1603.22, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 257, "text": "Thanks, Murph.", "raw_text": "Thanks, Murph.", "start_time": 1603.46, "end_time": 1604.22, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 258, "text": "Appreciate it.", "raw_text": "Appreciate it.", "start_time": 1604.22, "end_time": 1604.82, "speaker_id": 1, "speaker_name": "Paul Franke"}, {"index": 259, "text": "All right, sweet.", "raw_text": "All right, sweet.", "start_time": 1605.14, "end_time": 1605.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 260, "text": "Yeah, no problem.", "raw_text": "Yeah, no problem.", "start_time": 1605.82, "end_time": 1606.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 261, "text": "All right, see you.", "raw_text": "All right, see you.", "start_time": 1606.9, "end_time": 1608.18, "speaker_id": 1, "speaker_name": "Paul Franke"}]
participant_count
2
participants
[{"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "paul.franke@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KPXNTW0W5CP991K5W1NGB0X8 | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KPXNTW0W5CP991K5W1NGB0X8
title
Foundation Stand up
date
2026-04-30 17:00:00+00:00
duration_minutes
48
duration
48
transcript_url
https://app.fireflies.ai/view/01KPXNTW0W5CP991K5W1NGB0X8
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_MzQ3M2YzNjUtMjU5Ny00N2FiLThhYjItNjM5YmRhODA4ZmQ2@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The meeting discussed critical initiatives such as splitting the demo environment from production to safeguard essential workflows while allowing for more flexible marketing efforts. Key updates included achieving approximately 99.8% data accuracy through fixes in mapping errors, facilitating better data management with a new UI tool for non-developers. Access issues with Azure were highlighted as a significant blocker in setting up the demo environment, impacting productivity. A proposal for HTML-based automated proposal generation was presented, aiming to improve client interactions by hosting proposals internally, thus reducing costs. Additionally, the team is exploring AI-driven tools to accelerate content generation for marketing, as well as opportunities in niche markets like nuclear supply chains.
action_items
"\\n**Jacob Caden Kacmarynski**\\nCoordinate with Mark Murphy to gain Azure access and start setting up a separate VM for the data platform demo environment to isolate it from production and ensure stability (11:30)\\nRebase and merge app builder branch pull requests involving Claude Remote, targeting demo branch deployment next week to support marketing demos (09:40)\\nFocus efforts next week on stabilizing the demo environment and deployment setup, dedicating approximately half of working time to these tasks (25:00)\\nPrepare for the upcoming marketing meeting touchpoint, aligning on access issues and deployment progress for demo environments (26:50)\\nInvestigate integration of shared folder or OneDrive system for centralized project document storage, coordinating with demo environment deployment plans (23:00)\\n\\n**Justin Wray**\\nContinue refining data platform pull requests, including UI mapping fixes and integrating Python spot check scripts into Dagster pipeline for data integrity alerts (07:00)\\nAssist Jacob Caden Kacmarynski in setting up the demo environment, ensuring availability of production VM copies for environment duplication and stability (28:00)\\nSupport marketing parallel efforts focusing on AI enablement and webflow content generation, ensuring scalability and robustness of Safeguard workflows (35:00)\\nShare and monitor application of Claude security scanning tool on legacy project code bases to identify vulnerabilities and improve code security (39:30)\\nFollow up with Jacob Caden Kacmarynski and Mark Murphy on app builder pull request review and workflow builder integration, scheduling a session next Tuesday (46:45)\\n\\n**Mark Murphy**\\nSupport access provisioning and deployment setup for Azure resources; assist Jacob Caden Kacmarynski with VM configuration and environment stability efforts (12:22)\\nReview app builder pull requests and workflow builder integration next week to ensure smooth feature rollout and code quality (46:45)\\n\\n**David Boone**\\nProvide expertise on data platform production VM setup and configuration to aid in environment duplication for demo purposes (11:30)\\n"
transcript_text
[{"index": 0, "text": "Yo, what's up?", "raw_text": "Yo, what's up?", "start_time": 127.81, "end_time": 129.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1, "text": "How's it going?", "raw_text": "How's it going?", "start_time": 129.89, "end_time": 130.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 2, "text": "Pretty good.", "raw_text": "Pretty good.", "start_time": 131.73, "end_time": 132.45, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 3, "text": "What's up?", "raw_text": "What's up?", "start_time": 133.01, "end_time": 133.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 4, "text": "WI fi working?", "raw_text": "WI fi working?", "start_time": 134.13, "end_time": 135.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 5, "text": "Mine's fine today.", "raw_text": "Mine's fine today.", "start_time": 136.69, "end_time": 138.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 6, "text": "That's one pro.", "raw_text": "That's one pro.", "start_time": 141.49, "end_time": 142.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "I'm on the 2G one though.", "raw_text": "I'm on the 2G one though.", "start_time": 142.85, "end_time": 144.29, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 8, "text": "I think one of the routers is.", "raw_text": "I think one of the routers is.", "start_time": 146.29, "end_time": 148.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 9, "text": "No, no.", "raw_text": "No, no.", "start_time": 148.37, "end_time": 148.97, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 10, "text": "Traffic's flowing through what they diagnosed, so Darius is on it.", "raw_text": "Traffic's flowing through what they diagnosed, so Darius is on it.", "start_time": 148.97, "end_time": 152.53, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 11, "text": "I actually, I went to the office last night, like I was the only one there and the WI fi wasn't working well for me either.", "raw_text": "I actually, I went to the office last night, like I was the only one there and the WI fi wasn't working well for me either.", "start_time": 153.34, "end_time": 158.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 12, "text": "I thought it was like a me problem, but I was just like, I'm.", "raw_text": "I thought it was like a me problem, but I was just like, I'm.", "start_time": 158.1, "end_time": 160.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 13, "text": "It was annoying.", "raw_text": "It was annoying.", "start_time": 160.62, "end_time": 161.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 14, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 163.34, "end_time": 163.9, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 15, "text": "Is it just us?", "raw_text": "Is it just us?", "start_time": 165.5, "end_time": 166.46, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 16, "text": "I'm not sure what's Murph's doing.", "raw_text": "I'm not sure what's Murph's doing.", "start_time": 170.38, "end_time": 172.46, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 17, "text": "Did you see my email for the agenda with Ray next week?", "raw_text": "Did you see my email for the agenda with Ray next week?", "start_time": 180.46, "end_time": 183.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 18, "text": "I don't know if I could.", "raw_text": "I don't know if I could.", "start_time": 189.74, "end_time": 190.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 19, "text": "Yeah, that's good.", "raw_text": "Yeah, that's good.", "start_time": 191.42, "end_time": 192.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 20, "text": "He mentioned today that he'd be interested in allowing us to use our own license Claude code if I can prove to him Enterprise is safe.", "raw_text": "He mentioned today that he'd be interested in allowing us to use our own license Claude code if I can prove to him Enterprise is safe.", "start_time": 193.1, "end_time": 199.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 21, "text": "And if we could get that applied to our projects, that'd be pretty sweet.", "raw_text": "And if we could get that applied to our projects, that'd be pretty sweet.", "start_time": 199.58, "end_time": 202.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 22, "text": "Yeah, that'd be really sweet.", "raw_text": "Yeah, that'd be really sweet.", "start_time": 205.59, "end_time": 207.11, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 23, "text": "So that's probably more valuable than all of phase two for InfoSec.", "raw_text": "So that's probably more valuable than all of phase two for InfoSec.", "start_time": 208.39, "end_time": 211.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "True.", "raw_text": "True.", "start_time": 212.95, "end_time": 213.51, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 25, "text": "Yep.", "raw_text": "Yep.", "start_time": 214.23, "end_time": 214.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "People would be happy about that.", "raw_text": "People would be happy about that.", "start_time": 214.75, "end_time": 216.31, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 27, "text": "I know.", "raw_text": "I know.", "start_time": 216.55, "end_time": 216.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 28, "text": "I told Paul, I'm like, we could pay him for this and come up profitable at this point.", "raw_text": "I told Paul, I'm like, we could pay him for this and come up profitable at this point.", "start_time": 216.95, "end_time": 220.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 29, "text": "Yeah, we will pay you if you get that push through.", "raw_text": "Yeah, we will pay you if you get that push through.", "start_time": 221.43, "end_time": 224.15, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 30, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 225.35, "end_time": 225.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 31, "text": "So we'll see if we can frame it right.", "raw_text": "So we'll see if we can frame it right.", "start_time": 225.99, "end_time": 227.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 32, "text": "But I don't know who's the.", "raw_text": "But I don't know who's the.", "start_time": 227.71, "end_time": 229.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 33, "text": "I wonder what the AI hub guys will say.", "raw_text": "I wonder what the AI hub guys will say.", "start_time": 229.11, "end_time": 230.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 34, "text": "Sure, Neil, have some sly remarks.", "raw_text": "Sure, Neil, have some sly remarks.", "start_time": 230.87, "end_time": 232.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 35, "text": "Yeah, some.", "raw_text": "Yeah, some.", "start_time": 233.1, "end_time": 236.06, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 36, "text": "And we won't even charge you token.", "raw_text": "And we won't even charge you token.", "start_time": 237.74, "end_time": 239.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 37, "text": "I don't know how much we spent on their tokens.", "raw_text": "I don't know how much we spent on their tokens.", "start_time": 239.62, "end_time": 241.26, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 38, "text": "I wonder.", "raw_text": "I wonder.", "start_time": 241.26, "end_time": 241.82, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 39, "text": "Probably a shit ton.", "raw_text": "Probably a shit ton.", "start_time": 243.18, "end_time": 244.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 40, "text": "Yeah, like we would just say that's part of our value prop.", "raw_text": "Yeah, like we would just say that's part of our value prop.", "start_time": 245.82, "end_time": 249.18, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 41, "text": "That's part of our rate.", "raw_text": "That's part of our rate.", "start_time": 249.42, "end_time": 250.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 42, "text": "We just use our cloud code.", "raw_text": "We just use our cloud code.", "start_time": 251.34, "end_time": 253.02, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 43, "text": "Yeah, I would be down for that.", "raw_text": "Yeah, I would be down for that.", "start_time": 255.66, "end_time": 257.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 44, "text": "But yeah, he's like, we need to use Final Frontier and Atmod as like a guinea pig for these AppSec tools.", "raw_text": "But yeah, he's like, we need to use Final Frontier and Atmod as like a guinea pig for these AppSec tools.", "start_time": 261.83, "end_time": 267.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 45, "text": "My Buzzy's gonna hate this.", "raw_text": "My Buzzy's gonna hate this.", "start_time": 267.43, "end_time": 269.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 46, "text": "Yeah, that's not part of the scope, bro.", "raw_text": "Yeah, that's not part of the scope, bro.", "start_time": 270.39, "end_time": 272.31, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 47, "text": "I was gonna.", "raw_text": "I was gonna.", "start_time": 273.11, "end_time": 273.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 48, "text": "Yeah, so we'll see.", "raw_text": "Yeah, so we'll see.", "start_time": 273.75, "end_time": 274.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 49, "text": "That's what I talk to him about.", "raw_text": "That's what I talk to him about.", "start_time": 274.47, "end_time": 275.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 50, "text": "Yeah, well, if it's just gonna be us, we could talk through.", "raw_text": "Yeah, well, if it's just gonna be us, we could talk through.", "start_time": 276.15, "end_time": 282.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 51, "text": "I'm working on that app developer or the app builder branch.", "raw_text": "I'm working on that app developer or the app builder branch.", "start_time": 283.51, "end_time": 287.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 52, "text": "I put up a bunch of PRs with Claude Remote.", "raw_text": "I put up a bunch of PRs with Claude Remote.", "start_time": 287.15, "end_time": 289.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 53, "text": "I just haven't sat down and like reviewed them or smoke test them locally and I just started pointing them at that demo branch.", "raw_text": "I just haven't sat down and like reviewed them or smoke test them locally and I just started pointing them at that demo branch.", "start_time": 289.43, "end_time": 294.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 54, "text": "So I was going to use this as an opportunity for me to see if I can get the demo branch hosted in Vercel.", "raw_text": "So I was going to use this as an opportunity for me to see if I can get the demo branch hosted in Vercel.", "start_time": 294.83, "end_time": 299.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 55, "text": "With like different code.", "raw_text": "With like different code.", "start_time": 299.59, "end_time": 300.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 56, "text": "So I was trying to work through that a little bit, making progress.", "raw_text": "So I was trying to work through that a little bit, making progress.", "start_time": 300.75, "end_time": 304.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 57, "text": "And then we had our talk yesterday.", "raw_text": "And then we had our talk yesterday.", "start_time": 305.15, "end_time": 308.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 58, "text": "We could keep talking about the data platform stuff or we could just use this media to talk through marketing.", "raw_text": "We could keep talking about the data platform stuff or we could just use this media to talk through marketing.", "start_time": 308.55, "end_time": 314.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 59, "text": "I threw a marketing meeting for us tomorrow I believe.", "raw_text": "I threw a marketing meeting for us tomorrow I believe.", "start_time": 314.2, "end_time": 316.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "Or if those are all our updates and you have other stuff to do, I could just go work on it.", "raw_text": "Or if those are all our updates and you have other stuff to do, I could just go work on it.", "start_time": 317.72, "end_time": 322, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 61, "text": "If it's just us here, we could just cancel this.", "raw_text": "If it's just us here, we could just cancel this.", "start_time": 322, "end_time": 323.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 62, "text": "I've got.", "raw_text": "I've got.", "start_time": 325.72, "end_time": 326.44, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 63, "text": "So I've just been working on.", "raw_text": "So I've just been working on.", "start_time": 328.2, "end_time": 329.56, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 64, "text": "I just did a pretty big PR for both data platform and I would.", "raw_text": "I just did a pretty big PR for both data platform and I would.", "start_time": 334.12, "end_time": 340.88, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 65, "text": "I did like several last night for data platform.", "raw_text": "I did like several last night for data platform.", "start_time": 340.88, "end_time": 343.24, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 66, "text": "I merged them all in and then I've got one for the UI that would like basically expose a UI to let like doar or Sam like fix the mappings of active like so you get the proper HubSpot ID to stuff and arrangement letter and stuff.", "raw_text": "I merged them all in and then I've got one for the UI that would like basically expose a UI to let like doar or Sam like fix the mappings of active like so you get the proper HubSpot ID to stuff and arrangement letter and stuff.", "start_time": 343.24, "end_time": 369.03, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 67, "text": "So that.", "raw_text": "So that.", "start_time": 370.23, "end_time": 371.11, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 68, "text": "I don't know, I kind of shoehorned it in.", "raw_text": "I don't know, I kind of shoehorned it in.", "start_time": 371.99, "end_time": 373.47, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 69, "text": "It'd be cool if I eventually refactor that and just put that as a custom app inside the moreland.", "raw_text": "It'd be cool if I eventually refactor that and just put that as a custom app inside the moreland.", "start_time": 373.47, "end_time": 378.43, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 70, "text": "Org.", "raw_text": "Org.", "start_time": 378.43, "end_time": 378.949, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 71, "text": "Like it's just one of the apps but I just shoehorned it into the admin page.", "raw_text": "Like it's just one of the apps but I just shoehorned it into the admin page.", "start_time": 379.51, "end_time": 386.23, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 72, "text": "So have to talk to Murph about.", "raw_text": "So have to talk to Murph about.", "start_time": 386.95, "end_time": 389.99, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 73, "text": "How we want to refactor that.", "raw_text": "How we want to refactor that.", "start_time": 389.99, "end_time": 391.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 74, "text": "But we needed it up there so we could fix some of the data issues.", "raw_text": "But we needed it up there so we could fix some of the data issues.", "start_time": 391.07, "end_time": 396.75, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 75, "text": "I think Sam's using the MCP to put like a forecasting tool together that pulls from HubSpot and our demand data.", "raw_text": "I think Sam's using the MCP to put like a forecasting tool together that pulls from HubSpot and our demand data.", "start_time": 400.99, "end_time": 412.75, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 76, "text": "So he's kind of throwing stuff over the fence of like question what works?", "raw_text": "So he's kind of throwing stuff over the fence of like question what works?", "start_time": 416.36, "end_time": 422.72, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 77, "text": "And.", "raw_text": "And.", "start_time": 422.72, "end_time": 423.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 78, "text": "Just my workflow where I have a direct connection to the project mappings as they come up.", "raw_text": "Just my workflow where I have a direct connection to the project mappings as they come up.", "start_time": 430.04, "end_time": 434.28, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 79, "text": "That's all I had really.", "raw_text": "That's all I had really.", "start_time": 436.92, "end_time": 438.2, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 80, "text": "I've just been doing type of things but the data seems like It's.", "raw_text": "I've just been doing type of things but the data seems like It's.", "start_time": 438.2, "end_time": 440.92, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 81, "text": "It's like 99.8% accurate from Toggle, which is good.", "raw_text": "It's like 99.8% accurate from Toggle, which is good.", "start_time": 442.22, "end_time": 446.38, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 82, "text": "That is pretty good.", "raw_text": "That is pretty good.", "start_time": 447.02, "end_time": 447.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 83, "text": "What I'd want to throw in there too is maybe it just is like another node in our Dagster pipeline more so than anything else.", "raw_text": "What I'd want to throw in there too is maybe it just is like another node in our Dagster pipeline more so than anything else.", "start_time": 449.18, "end_time": 459.9, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 84, "text": "But I've saved these.", "raw_text": "But I've saved these.", "start_time": 460.7, "end_time": 462.46, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 85, "text": "I basically saved like a prompt in like the PI scripts that let me do like spot check things.", "raw_text": "I basically saved like a prompt in like the PI scripts that let me do like spot check things.", "start_time": 465.1, "end_time": 470.98, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 86, "text": "Like I could go in there and like run toggle spot check, run.", "raw_text": "Like I could go in there and like run toggle spot check, run.", "start_time": 470.98, "end_time": 475.18, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 87, "text": "Run our time entry spot check run our demand allocation spot check and it checks the foundation data against like the source systems for pieces of it.", "raw_text": "Run our time entry spot check run our demand allocation spot check and it checks the foundation data against like the source systems for pieces of it.", "start_time": 475.18, "end_time": 486.86, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 88, "text": "Because that's I think in production that would be like a pretty big deal.", "raw_text": "Because that's I think in production that would be like a pretty big deal.", "start_time": 488.3, "end_time": 492.14, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 89, "text": "Like you're going to catch like drift or like if sources change like we going to need like alerts Based on that, I think it probably makes sense just to throw it in as a node on the pipeline run.", "raw_text": "Like you're going to catch like drift or like if sources change like we going to need like alerts Based on that, I think it probably makes sense just to throw it in as a node on the pipeline run.", "start_time": 492.22, "end_time": 505.86, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 90, "text": "Wait, can you say that one more time?", "raw_text": "Wait, can you say that one more time?", "start_time": 509.86, "end_time": 511.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 91, "text": "It kind of cut out.", "raw_text": "It kind of cut out.", "start_time": 511.1, "end_time": 511.779, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 92, "text": "What are you throwing in as a node in the pipeline run?", "raw_text": "What are you throwing in as a node in the pipeline run?", "start_time": 511.779, "end_time": 513.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 93, "text": "This is the dag.", "raw_text": "This is the dag.", "start_time": 513.62, "end_time": 514.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 94, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 516.34, "end_time": 516.7, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 95, "text": "Wait, what.", "raw_text": "Wait, what.", "start_time": 516.7, "end_time": 517.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 96, "text": "What were you talking.", "raw_text": "What were you talking.", "start_time": 517.02, "end_time": 517.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "About?", "raw_text": "About?", "start_time": 521.16, "end_time": 521.32, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 98, "text": "Like, I have local things I've been running that will, like, spot check.", "raw_text": "Like, I have local things I've been running that will, like, spot check.", "start_time": 522.989, "end_time": 526.349, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 99, "text": "It'll spot check, like, what I'm doing in foundation against the source systems.", "raw_text": "It'll spot check, like, what I'm doing in foundation against the source systems.", "start_time": 528.029, "end_time": 534.269, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 100, "text": "Oh, is that just.", "raw_text": "Oh, is that just.", "start_time": 535.389, "end_time": 536.509, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 101, "text": "Do you have like, scripts for that or what's spot?", "raw_text": "Do you have like, scripts for that or what's spot?", "start_time": 536.669, "end_time": 539.509, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 102, "text": "Like, you just have unit test, basically.", "raw_text": "Like, you just have unit test, basically.", "start_time": 539.509, "end_time": 540.989, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 103, "text": "Yeah, essentially.", "raw_text": "Yeah, essentially.", "start_time": 541.709, "end_time": 542.589, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 104, "text": "But it's just like Python scripts right now and then like a readme that like explains the LLM how to do it.", "raw_text": "But it's just like Python scripts right now and then like a readme that like explains the LLM how to do it.", "start_time": 542.589, "end_time": 549, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 105, "text": "Gotcha.", "raw_text": "Gotcha.", "start_time": 549.64, "end_time": 550.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 106, "text": "It could just be like a full blown Python script though, so I might try to add that in as like a DAG step in Dagster after the pipeline runs.", "raw_text": "It could just be like a full blown Python script though, so I might try to add that in as like a DAG step in Dagster after the pipeline runs.", "start_time": 550.44, "end_time": 561, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 107, "text": "That makes sense.", "raw_text": "That makes sense.", "start_time": 562.919, "end_time": 563.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 108, "text": "And then for the.", "raw_text": "And then for the.", "start_time": 565.48, "end_time": 567.08, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 109, "text": "For the data platform side, the events.", "raw_text": "For the data platform side, the events.", "start_time": 567.08, "end_time": 569.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 110, "text": "Oh.", "raw_text": "Oh.", "start_time": 569.08, "end_time": 569.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 111, "text": "Oh, go ahead.", "raw_text": "Oh, go ahead.", "start_time": 571, "end_time": 571.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 112, "text": "Oh, I was gonna say, I PR that event stuff into foundation as well.", "raw_text": "Oh, I was gonna say, I PR that event stuff into foundation as well.", "start_time": 573.33, "end_time": 579.57, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 113, "text": "Like all the event log stuff.", "raw_text": "Like all the event log stuff.", "start_time": 580.05, "end_time": 581.73, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 114, "text": "Oh, nice.", "raw_text": "Oh, nice.", "start_time": 582.53, "end_time": 583.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 115, "text": "Oh, I forgot I had that on my brain.", "raw_text": "Oh, I forgot I had that on my brain.", "start_time": 583.33, "end_time": 585.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "I forgot how much I had on my branch.", "raw_text": "I forgot how much I had on my branch.", "start_time": 585.41, "end_time": 586.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 117, "text": "I probably should have PR that sooner.", "raw_text": "I probably should have PR that sooner.", "start_time": 586.85, "end_time": 588.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 118, "text": "I think you branched off me, so your.", "raw_text": "I think you branched off me, so your.", "start_time": 589.33, "end_time": 591.33, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 119, "text": "Your PR should be easy.", "raw_text": "Your PR should be easy.", "start_time": 591.57, "end_time": 593.17, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 120, "text": "Yeah, I actually, I've rebased.", "raw_text": "Yeah, I actually, I've rebased.", "start_time": 594.05, "end_time": 595.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 121, "text": "I've rebased my branch last week and this week, so I'll just rebase it again, actually.", "raw_text": "I've rebased my branch last week and this week, so I'll just rebase it again, actually.", "start_time": 595.89, "end_time": 600.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "Easy.", "raw_text": "Easy.", "start_time": 600.87, "end_time": 601.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "I just spin up a cloud remote tax and say, like, rebase my branch and then merge it back and then I pull it locally and it seems to work.", "raw_text": "I just spin up a cloud remote tax and say, like, rebase my branch and then merge it back and then I pull it locally and it seems to work.", "start_time": 601.15, "end_time": 607.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 124, "text": "Yep.", "raw_text": "Yep.", "start_time": 608.59, "end_time": 609.15, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 125, "text": "So I'd be interested in how we.", "raw_text": "So I'd be interested in how we.", "start_time": 612.99, "end_time": 614.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 126, "text": "Well, I guess there's two things to move forward.", "raw_text": "Well, I guess there's two things to move forward.", "start_time": 614.87, "end_time": 616.469, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 127, "text": "There'd be our demo branch stuff, or maybe we just leave it in prod for now since we kind of got it working and then that, like, kind of migrate into the marketing side of things.", "raw_text": "There'd be our demo branch stuff, or maybe we just leave it in prod for now since we kind of got it working and then that, like, kind of migrate into the marketing side of things.", "start_time": 616.469, "end_time": 632.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 128, "text": "I guess it's up.", "raw_text": "I guess it's up.", "start_time": 632.13, "end_time": 633.09, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 129, "text": "Up to you.", "raw_text": "Up to you.", "start_time": 633.97, "end_time": 634.57, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 130, "text": "I don't really have a strong opinion otherwise, one way or the other.", "raw_text": "I don't really have a strong opinion otherwise, one way or the other.", "start_time": 634.57, "end_time": 637.33, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 131, "text": "There might be some benefits for discussion right now.", "raw_text": "There might be some benefits for discussion right now.", "start_time": 637.97, "end_time": 641.57, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 132, "text": "Yeah, I guess there might be some benefits into moving the.", "raw_text": "Yeah, I guess there might be some benefits into moving the.", "start_time": 643.09, "end_time": 646.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 133, "text": "Getting that demo branch completely running.", "raw_text": "Getting that demo branch completely running.", "start_time": 646.69, "end_time": 650.21, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 134, "text": "Yeah, that's where I'm struggling with, like, in terms of our dev cycle, I don't think it matters, but if we want to do like, marketing and actual dem, like, there's a. I mean, we stopped kind of doing demos for a few reasons, but if we're gonna start doing demos, we can't.", "raw_text": "Yeah, that's where I'm struggling with, like, in terms of our dev cycle, I don't think it matters, but if we want to do like, marketing and actual dem, like, there's a. I mean, we stopped kind of doing demos for a few reasons, but if we're gonna start doing demos, we can't.", "start_time": 651.33, "end_time": 663.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 135, "text": "Like, the system we have is not gonna work.", "raw_text": "Like, the system we have is not gonna work.", "start_time": 663.79, "end_time": 665.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 136, "text": "It breaks every time we do something.", "raw_text": "It breaks every time we do something.", "start_time": 665.39, "end_time": 666.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 137, "text": "Well, I'm more concerned about, like, if we're starting to use the moral and MCP more for more important things, like Sam's using it.", "raw_text": "Well, I'm more concerned about, like, if we're starting to use the moral and MCP more for more important things, like Sam's using it.", "start_time": 667.87, "end_time": 674.59, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 138, "text": "I'm more concerned about.", "raw_text": "I'm more concerned about.", "start_time": 675.87, "end_time": 676.99, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 139, "text": "I'm more concerned we're breaking that than the demo.", "raw_text": "I'm more concerned we're breaking that than the demo.", "start_time": 677.63, "end_time": 680.95, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 140, "text": "But that's true.", "raw_text": "But that's true.", "start_time": 680.95, "end_time": 682.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 141, "text": "I guess I'm sitting in marketing world.", "raw_text": "I guess I'm sitting in marketing world.", "start_time": 682.47, "end_time": 683.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 142, "text": "I mean.", "raw_text": "I mean.", "start_time": 683.71, "end_time": 684.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 143, "text": "Yeah, same.", "raw_text": "Yeah, same.", "start_time": 684.19, "end_time": 684.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 144, "text": "Same situation there.", "raw_text": "Same situation there.", "start_time": 684.95, "end_time": 686.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "I suppose.", "raw_text": "I suppose.", "start_time": 686.03, "end_time": 686.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 146, "text": "So then.", "raw_text": "So then.", "start_time": 687.07, "end_time": 687.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 147, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 687.43, "end_time": 687.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 148, "text": "I think the more important thing, it's a lot easier as we have this demo branch, which we could make the demo branch, like the staging in terms of our code, like for the Moreland instance.", "raw_text": "I think the more important thing, it's a lot easier as we have this demo branch, which we could make the demo branch, like the staging in terms of our code, like for the Moreland instance.", "start_time": 689.79, "end_time": 699.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 149, "text": "But we really just need another.", "raw_text": "But we really just need another.", "start_time": 699.71, "end_time": 702.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "I think we need another VM for the data.", "raw_text": "I think we need another VM for the data.", "start_time": 702.43, "end_time": 704.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 151, "text": "Data platform side.", "raw_text": "Data platform side.", "start_time": 704.75, "end_time": 705.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 152, "text": "Like, I think we need to set up another instance of the data platform because it seems to be like the actual code of foundations normally.", "raw_text": "Like, I think we need to set up another instance of the data platform because it seems to be like the actual code of foundations normally.", "start_time": 705.79, "end_time": 712.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 153, "text": "Fine.", "raw_text": "Fine.", "start_time": 712.31, "end_time": 712.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 154, "text": "It's only like a cube or data error if we're pushing changes there, which we do a lot of.", "raw_text": "It's only like a cube or data error if we're pushing changes there, which we do a lot of.", "start_time": 712.51, "end_time": 716.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 155, "text": "How far along did you get with.", "raw_text": "How far along did you get with.", "start_time": 719.75, "end_time": 721.27, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 156, "text": "That on the data platform side?", "raw_text": "That on the data platform side?", "start_time": 721.27, "end_time": 724.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 157, "text": "Yeah, not far.", "raw_text": "Yeah, not far.", "start_time": 725.51, "end_time": 727.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 158, "text": "I just set up the, like the application side because the data platform side, I. I don't think I have Azure access to even open up a new vm.", "raw_text": "I just set up the, like the application side because the data platform side, I. I don't think I have Azure access to even open up a new vm.", "start_time": 727.59, "end_time": 735.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 159, "text": "And then I was going to try to go, like, use the original one, but I don't.", "raw_text": "And then I was going to try to go, like, use the original one, but I don't.", "start_time": 735.19, "end_time": 738.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 160, "text": "I don't think I even have credentials to do that.", "raw_text": "I don't think I even have credentials to do that.", "start_time": 738.35, "end_time": 740.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 161, "text": "That's kind of why I stopped.", "raw_text": "That's kind of why I stopped.", "start_time": 740.23, "end_time": 741.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 162, "text": "Can you ask Murph, I guess, for.", "raw_text": "Can you ask Murph, I guess, for.", "start_time": 742.4, "end_time": 747.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 163, "text": "To make sure you have access to the.", "raw_text": "To make sure you have access to the.", "start_time": 747.48, "end_time": 749.52, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 164, "text": "Yeah, I could talk to Murph, but I mean.", "raw_text": "Yeah, I could talk to Murph, but I mean.", "start_time": 750.88, "end_time": 753.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 165, "text": "Yeah, I can just start working on that.", "raw_text": "Yeah, I can just start working on that.", "start_time": 753.6, "end_time": 754.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 166, "text": "But it's kind of.", "raw_text": "But it's kind of.", "start_time": 754.92, "end_time": 755.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 167, "text": "Yeah, because I guess Boone's the only one who probably knows it the best.", "raw_text": "Yeah, because I guess Boone's the only one who probably knows it the best.", "start_time": 756.08, "end_time": 760.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 168, "text": "So I could just start figuring it out because I figured maybe you and I could just do that together.", "raw_text": "So I could just start figuring it out because I figured maybe you and I could just do that together.", "start_time": 760.36, "end_time": 764.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 169, "text": "I think I. I think I know it.", "raw_text": "I think I. I think I know it.", "start_time": 764.16, "end_time": 766.72, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 170, "text": "But if you have access, you should be able to just copy the two VMs as a starting point.", "raw_text": "But if you have access, you should be able to just copy the two VMs as a starting point.", "start_time": 766.72, "end_time": 772.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 171, "text": "Okay, so I'll look.", "raw_text": "Okay, so I'll look.", "start_time": 773.13, "end_time": 778.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 172, "text": "I'll look into that again tomorrow.", "raw_text": "I'll look into that again tomorrow.", "start_time": 778.69, "end_time": 780.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 173, "text": "So access to K. Foundation.", "raw_text": "So access to K. Foundation.", "start_time": 781.85, "end_time": 791.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 174, "text": "Dev demo.", "raw_text": "Dev demo.", "start_time": 795.29, "end_time": 796.49, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 175, "text": "Yeah, I do think it makes sense to probably split those just so we've got less impact on potential Moreland MCP usage.", "raw_text": "Yeah, I do think it makes sense to probably split those just so we've got less impact on potential Moreland MCP usage.", "start_time": 797.63, "end_time": 810.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 176, "text": "Okay, yeah, I'll plan some time for that tomorrow.", "raw_text": "Okay, yeah, I'll plan some time for that tomorrow.", "start_time": 811.23, "end_time": 817.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "Okay.", "raw_text": "Okay.", "start_time": 818.83, "end_time": 819.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 178, "text": "And then the.", "raw_text": "And then the.", "start_time": 823.24, "end_time": 823.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 179, "text": "I guess the other thing.", "raw_text": "I guess the other thing.", "start_time": 823.72, "end_time": 824.76, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 180, "text": "So that would be one, two would be.", "raw_text": "So that would be one, two would be.", "start_time": 824.84, "end_time": 828.84, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 181, "text": "We could use some of this conversation today to talk demo or the talk marketing demo stuff.", "raw_text": "We could use some of this conversation today to talk demo or the talk marketing demo stuff.", "start_time": 830.2, "end_time": 837, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 182, "text": "But three, is.", "raw_text": "But three, is.", "start_time": 838.28, "end_time": 839.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 183, "text": "The discussion around, like.", "raw_text": "The discussion around, like.", "start_time": 845.88, "end_time": 847.8, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 184, "text": "The shared folder concept.", "raw_text": "The shared folder concept.", "start_time": 852.13, "end_time": 853.97, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 185, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 855.09, "end_time": 855.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 186, "text": "Or OneDrive.", "raw_text": "Or OneDrive.", "start_time": 856.21, "end_time": 857.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 187, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 858.21, "end_time": 858.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 188, "text": "So I have a use case, I think that would play.", "raw_text": "So I have a use case, I think that would play.", "start_time": 860.77, "end_time": 862.77, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 189, "text": "And I guess really, like, if Murph's not on here, but the harness engineering, I think it's quickly morphs into that more so than anything.", "raw_text": "And I guess really, like, if Murph's not on here, but the harness engineering, I think it's quickly morphs into that more so than anything.", "start_time": 863.73, "end_time": 876.86, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 190, "text": "I feel like everything does at this point.", "raw_text": "I feel like everything does at this point.", "start_time": 878.3, "end_time": 880.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 191, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 881.18, "end_time": 881.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 192, "text": "But I have a really good use case that right off the rip I just need a place to put the documents for like a project.", "raw_text": "But I have a really good use case that right off the rip I just need a place to put the documents for like a project.", "start_time": 885.26, "end_time": 894.7, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 193, "text": "I'd like to take this.", "raw_text": "I'd like to take this.", "start_time": 896.38, "end_time": 897.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 194, "text": "I've been doing these like HTML based proposals.", "raw_text": "I've been doing these like HTML based proposals.", "start_time": 898.22, "end_time": 901.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 195, "text": "Oh yeah, those look cool.", "raw_text": "Oh yeah, those look cool.", "start_time": 902.34, "end_time": 904.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 196, "text": "So I can make that basically an mcp.", "raw_text": "So I can make that basically an mcp.", "start_time": 905.46, "end_time": 908.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 197, "text": "So my thought is like you would inside Claude, you would use this MCP and it would.", "raw_text": "So my thought is like you would inside Claude, you would use this MCP and it would.", "start_time": 911.3, "end_time": 916.74, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 198, "text": "The MCP would like kind of give all the context that I've been doing in cloud already to just like from scratch get the HTML up and running and like basically like it's just like an HTML proposal skill that comes through the foundation mcp.", "raw_text": "The MCP would like kind of give all the context that I've been doing in cloud already to just like from scratch get the HTML up and running and like basically like it's just like an HTML proposal skill that comes through the foundation mcp.", "start_time": 916.74, "end_time": 933.47, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 199, "text": "Oh we, we could do the exact same thing with that impact effort chart I made like for all our discovery sessions.", "raw_text": "Oh we, we could do the exact same thing with that impact effort chart I made like for all our discovery sessions.", "start_time": 934.11, "end_time": 941.349, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 200, "text": "Yeah, like it like because we talked about that prior.", "raw_text": "Yeah, like it like because we talked about that prior.", "start_time": 941.349, "end_time": 944.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 201, "text": "That's the easy one too.", "raw_text": "That's the easy one too.", "start_time": 944.11, "end_time": 945.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 202, "text": "Same exact thing.", "raw_text": "Same exact thing.", "start_time": 945.39, "end_time": 946.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 203, "text": "Yep, same exact thing.", "raw_text": "Yep, same exact thing.", "start_time": 947.15, "end_time": 948.47, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 204, "text": "And then you draft it and you're using your local LLM or your personal LLM and then there's a secondary tool that's basically like save this and then that would flow back into foundation, store it in that projects folder blob and then we'd have like a custom app on your app builder that like you could go in there and send proposal to client or edit proposal or download as PDF.", "raw_text": "And then you draft it and you're using your local LLM or your personal LLM and then there's a secondary tool that's basically like save this and then that would flow back into foundation, store it in that projects folder blob and then we'd have like a custom app on your app builder that like you could go in there and send proposal to client or edit proposal or download as PDF.", "start_time": 948.47, "end_time": 978.51, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 205, "text": "Like it'd be like the proposal manager.", "raw_text": "Like it'd be like the proposal manager.", "start_time": 978.89, "end_time": 981.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 206, "text": "Oh yeah, that'd be cool.", "raw_text": "Oh yeah, that'd be cool.", "start_time": 982.25, "end_time": 983.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 207, "text": "I actually.", "raw_text": "I actually.", "start_time": 983.57, "end_time": 984.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 208, "text": "And it hosts it and it.", "raw_text": "And it hosts it and it.", "start_time": 984.89, "end_time": 986.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 209, "text": "And it hosts it.", "raw_text": "And it hosts it.", "start_time": 986.25, "end_time": 987.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 210, "text": "So like right now I'm taking that HTML and putting it up on netlify or whatever.", "raw_text": "So like right now I'm taking that HTML and putting it up on netlify or whatever.", "start_time": 987.13, "end_time": 992.09, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 211, "text": "Like we could just host it on foundation.", "raw_text": "Like we could just host it on foundation.", "start_time": 992.89, "end_time": 995.69, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 212, "text": "Oh.", "raw_text": "Oh.", "start_time": 996.09, "end_time": 996.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 213, "text": "So actually yeah, I was gonna say I actually just started a repo.", "raw_text": "So actually yeah, I was gonna say I actually just started a repo.", "start_time": 996.53, "end_time": 1000.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 214, "text": "I didn't commit it anywhere but I had this like I just call it Harness and that's how I did that marketing one is I took all the HTMLs I've been doing in Claude and I put them in like a repo so I could just use it in cloud code.", "raw_text": "I didn't commit it anywhere but I had this like I just call it Harness and that's how I did that marketing one is I took all the HTMLs I've been doing in Claude and I put them in like a repo so I could just use it in cloud code.", "start_time": 1000.41, "end_time": 1011.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 215, "text": "And it was just really good at like making consistent artifacts.", "raw_text": "And it was just really good at like making consistent artifacts.", "start_time": 1011.23, "end_time": 1014.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 216, "text": "But the hosting part would be I didn't think through.", "raw_text": "But the hosting part would be I didn't think through.", "start_time": 1015.15, "end_time": 1018.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 217, "text": "So you use.", "raw_text": "So you use.", "start_time": 1018.35, "end_time": 1018.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 218, "text": "Use Nullify.", "raw_text": "Use Nullify.", "start_time": 1018.95, "end_time": 1019.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 219, "text": "Because last time I sent someone HTML I just hosted it on like Versal.", "raw_text": "Because last time I sent someone HTML I just hosted it on like Versal.", "start_time": 1019.75, "end_time": 1023.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 220, "text": "But you use Nullify.", "raw_text": "But you use Nullify.", "start_time": 1023.55, "end_time": 1024.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 221, "text": "Yeah, I could probably just go to Versal as well.", "raw_text": "Yeah, I could probably just go to Versal as well.", "start_time": 1025.71, "end_time": 1029.23, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 222, "text": "It's just I had like, I had something on my to do list just to see what.", "raw_text": "It's just I had like, I had something on my to do list just to see what.", "start_time": 1029.23, "end_time": 1038.479, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 223, "text": "No, if I was all about so.", "raw_text": "No, if I was all about so.", "start_time": 1038.479, "end_time": 1040.119, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 224, "text": "Or netlify, whatever it's called.", "raw_text": "Or netlify, whatever it's called.", "start_time": 1040.519, "end_time": 1042.359, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 225, "text": "Oh, Netlify Oh, I see.", "raw_text": "Oh, Netlify Oh, I see.", "start_time": 1042.599, "end_time": 1044.039, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 226, "text": "Push your ideas to the web.", "raw_text": "Push your ideas to the web.", "start_time": 1044.039, "end_time": 1045.399, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 227, "text": "Do you like it or do you think we should just like.", "raw_text": "Do you like it or do you think we should just like.", "start_time": 1045.479, "end_time": 1047.638, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 228, "text": "Because my best solution so far is just open like a blank Versal project, dump the HTML called like index HTML and then it just hosts like that's how I did Samir's proposal.", "raw_text": "Because my best solution so far is just open like a blank Versal project, dump the HTML called like index HTML and then it just hosts like that's how I did Samir's proposal.", "start_time": 1047.638, "end_time": 1056.999, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 229, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1058, "end_time": 1058.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 230, "text": "Basically you drop.", "raw_text": "Basically you drop.", "start_time": 1058.32, "end_time": 1059.44, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 231, "text": "Like if I got, if I download the HTML from Quad, netlify basically has.", "raw_text": "Like if I got, if I download the HTML from Quad, netlify basically has.", "start_time": 1060, "end_time": 1066.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 232, "text": "What you just said is like you go and you open it up and then you drag the HTML there and then it just.", "raw_text": "What you just said is like you go and you open it up and then you drag the HTML there and then it just.", "start_time": 1066.48, "end_time": 1072.16, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 233, "text": "It's like hosted already.", "raw_text": "It's like hosted already.", "start_time": 1072.16, "end_time": 1073.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 234, "text": "It's like instant.", "raw_text": "It's like instant.", "start_time": 1073.76, "end_time": 1074.72, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 235, "text": "How, how much does that cost?", "raw_text": "How, how much does that cost?", "start_time": 1075.44, "end_time": 1077.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "It's like 20amonth, but I'll give it.", "raw_text": "It's like 20amonth, but I'll give it.", "start_time": 1078.08, "end_time": 1081.12, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 237, "text": "Can you do it over like MCP or API?", "raw_text": "Can you do it over like MCP or API?", "start_time": 1081.84, "end_time": 1084.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 238, "text": "Because that's the thing.", "raw_text": "Because that's the thing.", "start_time": 1084.84, "end_time": 1085.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 239, "text": "If, like, if I could do that with like Versal command liner, how would I wonder if we could do it like from our sandbox and then it just pushes it and then it's hosted.", "raw_text": "If, like, if I could do that with like Versal command liner, how would I wonder if we could do it like from our sandbox and then it just pushes it and then it's hosted.", "start_time": 1085.92, "end_time": 1093.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 240, "text": "Well, we could do the same thing on like foundation proper.", "raw_text": "Well, we could do the same thing on like foundation proper.", "start_time": 1094.6, "end_time": 1098.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 241, "text": "That's why I'm saying like this mcp, like you drafted Claude and you save it to this mcp.", "raw_text": "That's why I'm saying like this mcp, like you drafted Claude and you save it to this mcp.", "start_time": 1098.92, "end_time": 1104.28, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 242, "text": "We would take that HTML file and just host it.", "raw_text": "We would take that HTML file and just host it.", "start_time": 1105.24, "end_time": 1107.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 243, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 1109.89, "end_time": 1110.29, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 244, "text": "Yeah, that sounds like a pretty useful.", "raw_text": "Yeah, that sounds like a pretty useful.", "start_time": 1113.17, "end_time": 1115.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 245, "text": "And then it could be like.", "raw_text": "And then it could be like.", "start_time": 1116.13, "end_time": 1117.09, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 246, "text": "It doesn't need to be just.", "raw_text": "It doesn't need to be just.", "start_time": 1117.09, "end_time": 1118.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 247, "text": "It would be like any artifact, any HTML based artifact that we'd want to share with the client.", "raw_text": "It would be like any artifact, any HTML based artifact that we'd want to share with the client.", "start_time": 1118.45, "end_time": 1123.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 248, "text": "Can we, can.", "raw_text": "Can we, can.", "start_time": 1127.09, "end_time": 1128.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 249, "text": "How would we do.", "raw_text": "How would we do.", "start_time": 1128.53, "end_time": 1129.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "Would we want to worry about like login or access control or just get it hosted publicly for anyone with the link first?", "raw_text": "Would we want to worry about like login or access control or just get it hosted publicly for anyone with the link first?", "start_time": 1130.69, "end_time": 1135.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 251, "text": "We that like a shared password.", "raw_text": "We that like a shared password.", "start_time": 1137.5, "end_time": 1140.14, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 252, "text": "That's what I have on netlify.", "raw_text": "That's what I have on netlify.", "start_time": 1140.14, "end_time": 1141.82, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 253, "text": "Like you just set up a password and then tell, tell them what it is.", "raw_text": "Like you just set up a password and then tell, tell them what it is.", "start_time": 1141.82, "end_time": 1145.1, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 254, "text": "Gotcha.", "raw_text": "Gotcha.", "start_time": 1145.66, "end_time": 1146.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 255, "text": "Yeah, that seems easy enough.", "raw_text": "Yeah, that seems easy enough.", "start_time": 1146.46, "end_time": 1147.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "Like here's the, here's the exterior one.", "raw_text": "Like here's the, here's the exterior one.", "start_time": 1149.1, "end_time": 1151.26, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 257, "text": "I'll share with you.", "raw_text": "I'll share with you.", "start_time": 1151.26, "end_time": 1152.14, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 258, "text": "These netlify guys seem to work with a lot of.", "raw_text": "These netlify guys seem to work with a lot of.", "start_time": 1156.3, "end_time": 1158.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 259, "text": "But that would be a perfect use case for like us getting this.", "raw_text": "But that would be a perfect use case for like us getting this.", "start_time": 1173.83, "end_time": 1177.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 260, "text": "What's the password for this one?", "raw_text": "What's the password for this one?", "start_time": 1177.91, "end_time": 1179.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 261, "text": "I think it's win.", "raw_text": "I think it's win.", "start_time": 1180.39, "end_time": 1181.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 262, "text": "But yeah, obviously like Claude's figured this out.", "raw_text": "But yeah, obviously like Claude's figured this out.", "start_time": 1191.12, "end_time": 1193.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 263, "text": "That's probably how they do it with their, their artifacts.", "raw_text": "That's probably how they do it with their, their artifacts.", "start_time": 1193.4, "end_time": 1196.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 264, "text": "Oh yeah, it would be super easy.", "raw_text": "Oh yeah, it would be super easy.", "start_time": 1198.4, "end_time": 1200.04, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 265, "text": "I mean I figured it out with the original app builder thing that you branched off of and that that was actually compiling like jsx.", "raw_text": "I mean I figured it out with the original app builder thing that you branched off of and that that was actually compiling like jsx.", "start_time": 1200.04, "end_time": 1210.04, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 266, "text": "This is like just one HTML file.", "raw_text": "This is like just one HTML file.", "start_time": 1210.04, "end_time": 1212.4, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 267, "text": "So this would be.", "raw_text": "So this would be.", "start_time": 1212.4, "end_time": 1213.12, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 268, "text": "Oh, you got like a, you got like the mermaid diagram in on this.", "raw_text": "Oh, you got like a, you got like the mermaid diagram in on this.", "start_time": 1213.62, "end_time": 1216.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 269, "text": "This is sick.", "raw_text": "This is sick.", "start_time": 1216.38, "end_time": 1217.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 270, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1218.02, "end_time": 1218.5, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 271, "text": "Did you say.", "raw_text": "Did you say.", "start_time": 1219.78, "end_time": 1220.42, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 272, "text": "What'd you say?", "raw_text": "What'd you say?", "start_time": 1222.98, "end_time": 1223.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 273, "text": "So then I was, I was going to talk to Jeff.", "raw_text": "So then I was, I was going to talk to Jeff.", "start_time": 1223.58, "end_time": 1225.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 274, "text": "Jeff, did you Send that Xterra to them yet.", "raw_text": "Jeff, did you Send that Xterra to them yet.", "start_time": 1225.62, "end_time": 1227.86, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 275, "text": "Oh, sweet.", "raw_text": "Oh, sweet.", "start_time": 1227.94, "end_time": 1228.82, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 276, "text": "Did you guys talk about the CO working space?", "raw_text": "Did you guys talk about the CO working space?", "start_time": 1231.54, "end_time": 1233.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "No, we do not talk about the CO working space anymore.", "raw_text": "No, we do not talk about the CO working space anymore.", "start_time": 1235.78, "end_time": 1238.58, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 278, "text": "We should talk about the CO working space.", "raw_text": "We should talk about the CO working space.", "start_time": 1239.47, "end_time": 1241.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 279, "text": "The network keeps crapping.", "raw_text": "The network keeps crapping.", "start_time": 1246.03, "end_time": 1247.79, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 280, "text": "I know.", "raw_text": "I know.", "start_time": 1248.27, "end_time": 1248.91, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 281, "text": "I'll come in.", "raw_text": "I'll come in.", "start_time": 1249.31, "end_time": 1250.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 282, "text": "I'll drive in.", "raw_text": "I'll drive in.", "start_time": 1250.19, "end_time": 1250.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 283, "text": "Your case is getting better with the network crapping.", "raw_text": "Your case is getting better with the network crapping.", "start_time": 1252.35, "end_time": 1255.71, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 284, "text": "Yeah, I know.", "raw_text": "Yeah, I know.", "start_time": 1256.27, "end_time": 1256.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 285, "text": "I work for two miles.", "raw_text": "I work for two miles.", "start_time": 1256.83, "end_time": 1258.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 286, "text": "Did you unplug the router last night or something?", "raw_text": "Did you unplug the router last night or something?", "start_time": 1258.67, "end_time": 1261.23, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 287, "text": "No.", "raw_text": "No.", "start_time": 1261.71, "end_time": 1262.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 288, "text": "That'd be a good idea though.", "raw_text": "That'd be a good idea though.", "start_time": 1262.19, "end_time": 1263.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "Seems like there's too many devices in the building.", "raw_text": "Seems like there's too many devices in the building.", "start_time": 1268.98, "end_time": 1270.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "I mean, I mean, we probably will need to figure out space Jeff at some point.", "raw_text": "I mean, I mean, we probably will need to figure out space Jeff at some point.", "start_time": 1272.18, "end_time": 1277.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 291, "text": "I know John doesn't want to talk about it, but they've already seen.", "raw_text": "I know John doesn't want to talk about it, but they've already seen.", "start_time": 1277.7, "end_time": 1282.1, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 292, "text": "My only suggestion was we're gonna do let the guys work the place together.", "raw_text": "My only suggestion was we're gonna do let the guys work the place together.", "start_time": 1283.06, "end_time": 1289.06, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 293, "text": "I'm not saying that they move their five days a week, but then they're working home days twice a week.", "raw_text": "I'm not saying that they move their five days a week, but then they're working home days twice a week.", "start_time": 1289.38, "end_time": 1295.57, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 294, "text": "You work in the same spot.", "raw_text": "You work in the same spot.", "start_time": 1295.57, "end_time": 1297.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 295, "text": "Yep.", "raw_text": "Yep.", "start_time": 1298.09, "end_time": 1298.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 296, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1299.53, "end_time": 1300.01, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 297, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1300.57, "end_time": 1300.93, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 298, "text": "I'd say two or three days a week be fine.", "raw_text": "I'd say two or three days a week be fine.", "start_time": 1300.93, "end_time": 1303.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 299, "text": "Figure out what the balance is.", "raw_text": "Figure out what the balance is.", "start_time": 1304.41, "end_time": 1306.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 300, "text": "But.", "raw_text": "But.", "start_time": 1306.05, "end_time": 1306.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 301, "text": "Yeah, but anyway, this, the proposal thing's pretty sick.", "raw_text": "Yeah, but anyway, this, the proposal thing's pretty sick.", "start_time": 1315.05, "end_time": 1318.01, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 302, "text": "So like we could even build in like, like from the mcp.", "raw_text": "So like we could even build in like, like from the mcp.", "start_time": 1318.01, "end_time": 1323.83, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 303, "text": "It would have access to this template.", "raw_text": "It would have access to this template.", "start_time": 1323.83, "end_time": 1326.75, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 304, "text": "It would have like content guidance.", "raw_text": "It would have like content guidance.", "start_time": 1327.23, "end_time": 1330.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 305, "text": "It would have all the information about foundation that makes sense, like what we normally quote.", "raw_text": "It would have all the information about foundation that makes sense, like what we normally quote.", "start_time": 1330.87, "end_time": 1336.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 306, "text": "So could be pretty sweet.", "raw_text": "So could be pretty sweet.", "start_time": 1342.67, "end_time": 1344.15, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 307, "text": "And then like that would be a good use case for building out whatever, like shared folder structure we want to use first.", "raw_text": "And then like that would be a good use case for building out whatever, like shared folder structure we want to use first.", "start_time": 1344.15, "end_time": 1353.59, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 308, "text": "That lose you.", "raw_text": "That lose you.", "start_time": 1360.07, "end_time": 1361.03, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 309, "text": "Oh, no, I was just sending you pictures of the CO working space.", "raw_text": "Oh, no, I was just sending you pictures of the CO working space.", "start_time": 1361.67, "end_time": 1365.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 310, "text": "All right, back on task.", "raw_text": "All right, back on task.", "start_time": 1371.83, "end_time": 1373.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 311, "text": "Okay,.", "raw_text": "Okay,.", "start_time": 1374.32, "end_time": 1374.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "So what's your.", "raw_text": "So what's your.", "start_time": 1382.72, "end_time": 1383.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 313, "text": "What do you think next steps are on that discussion with Sam.", "raw_text": "What do you think next steps are on that discussion with Sam.", "start_time": 1385.44, "end_time": 1389.36, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 314, "text": "On the data side of things?", "raw_text": "On the data side of things?", "start_time": 1393.12, "end_time": 1394.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "It's probably figuring out that like if we do a OneDrive or a place for us to store that data, which maybe this HTML thing is like a first step towards that with the hosting.", "raw_text": "It's probably figuring out that like if we do a OneDrive or a place for us to store that data, which maybe this HTML thing is like a first step towards that with the hosting.", "start_time": 1398.72, "end_time": 1409.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 316, "text": "Yeah, I'd say we start with.", "raw_text": "Yeah, I'd say we start with.", "start_time": 1409.94, "end_time": 1413.94, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 317, "text": "We just start with OneDrive, I guess.", "raw_text": "We just start with OneDrive, I guess.", "start_time": 1417.78, "end_time": 1419.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 318, "text": "I mean, it's fine.", "raw_text": "I mean, it's fine.", "start_time": 1419.66, "end_time": 1420.5, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 319, "text": "I don't think.", "raw_text": "I don't think.", "start_time": 1424.02, "end_time": 1424.78, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 320, "text": "Sucks.", "raw_text": "Sucks.", "start_time": 1424.78, "end_time": 1425.22, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 321, "text": "One drive is like, there's no native.", "raw_text": "One drive is like, there's no native.", "start_time": 1425.22, "end_time": 1428.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 322, "text": "Like.", "raw_text": "Like.", "start_time": 1429.03, "end_time": 1429.43, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 323, "text": "Like if I opened up OneDrive and opened up an MD file, it's not going to like look good, but you just don't.", "raw_text": "Like if I opened up OneDrive and opened up an MD file, it's not going to like look good, but you just don't.", "start_time": 1430.39, "end_time": 1439.43, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 324, "text": "You just won't use the OneDrive for.", "raw_text": "You just won't use the OneDrive for.", "start_time": 1439.43, "end_time": 1441.83, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 325, "text": "Yeah, it's more file storage than like a IDE or like UI.", "raw_text": "Yeah, it's more file storage than like a IDE or like UI.", "start_time": 1443.11, "end_time": 1447.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 326, "text": "It's not something.", "raw_text": "It's not something.", "start_time": 1447.23, "end_time": 1447.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 327, "text": "Yeah, you're not operating in it.", "raw_text": "Yeah, you're not operating in it.", "start_time": 1447.99, "end_time": 1449.75, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 328, "text": "Yeah, exactly.", "raw_text": "Yeah, exactly.", "start_time": 1450.23, "end_time": 1451.27, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 329, "text": "I think that's just the easiest thing to get forward.", "raw_text": "I think that's just the easiest thing to get forward.", "start_time": 1451.91, "end_time": 1453.99, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 330, "text": "Go forward with.", "raw_text": "Go forward with.", "start_time": 1454.23, "end_time": 1455.11, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 331, "text": "Good.", "raw_text": "Good.", "start_time": 1455.57, "end_time": 1455.81, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 332, "text": "So what do you want?", "raw_text": "So what do you want?", "start_time": 1465.73, "end_time": 1466.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 333, "text": "How do you want to divvy up that work?", "raw_text": "How do you want to divvy up that work?", "start_time": 1466.41, "end_time": 1467.89, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 334, "text": "Well, I Guess next on the plate right now is I could get this app.", "raw_text": "Well, I Guess next on the plate right now is I could get this app.", "start_time": 1473.73, "end_time": 1477.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 335, "text": "App builder thing figured out and then we go through.", "raw_text": "App builder thing figured out and then we go through.", "start_time": 1477.25, "end_time": 1479.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "I feel like we probably should solve the demo and stability thing first.", "raw_text": "I feel like we probably should solve the demo and stability thing first.", "start_time": 1479.81, "end_time": 1484.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 337, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1486.75, "end_time": 1487.23, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 338, "text": "And then after that we have a place to dump these htmls and then that data.", "raw_text": "And then after that we have a place to dump these htmls and then that data.", "start_time": 1488.99, "end_time": 1493.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 339, "text": "Because he is SAM is.", "raw_text": "Because he is SAM is.", "start_time": 1493.59, "end_time": 1494.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "I mean, to be fair with the SAM thing, he's doing pretty good with himself.", "raw_text": "I mean, to be fair with the SAM thing, he's doing pretty good with himself.", "start_time": 1494.83, "end_time": 1497.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 341, "text": "And honestly, Claude might be getting close to where we start sharing those artifacts, so getting stability on our platform.", "raw_text": "And honestly, Claude might be getting close to where we start sharing those artifacts, so getting stability on our platform.", "start_time": 1497.63, "end_time": 1502.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 342, "text": "And then next, once we have that figured out, we say, okay, here's the OneDrive we point at and we just use MCP to connect things together.", "raw_text": "And then next, once we have that figured out, we say, okay, here's the OneDrive we point at and we just use MCP to connect things together.", "start_time": 1503.15, "end_time": 1510.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 343, "text": "And then we go first party on Moreland.", "raw_text": "And then we go first party on Moreland.", "start_time": 1510.88, "end_time": 1513.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "Because I think it's a lot of how do we figure out what things we give people on the project level that they need to start with, then free them up to work on that personal offline level and then push up patterns that we need to the enterprise level.", "raw_text": "Because I think it's a lot of how do we figure out what things we give people on the project level that they need to start with, then free them up to work on that personal offline level and then push up patterns that we need to the enterprise level.", "start_time": 1513.44, "end_time": 1528, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 345, "text": "But right now we don't have anywhere to store or procedures for the top or bottom.", "raw_text": "But right now we don't have anywhere to store or procedures for the top or bottom.", "start_time": 1528, "end_time": 1532.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 346, "text": "Okay, so what's your workload look like?", "raw_text": "Okay, so what's your workload look like?", "start_time": 1534.64, "end_time": 1540.46, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 347, "text": "Let me see next week it's pretty open.", "raw_text": "Let me see next week it's pretty open.", "start_time": 1546.86, "end_time": 1550.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 348, "text": "I probably have.", "raw_text": "I probably have.", "start_time": 1551.02, "end_time": 1552.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 349, "text": "Maybe half.", "raw_text": "Maybe half.", "start_time": 1556.86, "end_time": 1557.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 350, "text": "I could probably do like half my time next week, assuming it depends on how much I have to help Ethan with Marus.", "raw_text": "I could probably do like half my time next week, assuming it depends on how much I have to help Ethan with Marus.", "start_time": 1557.58, "end_time": 1563.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 351, "text": "He seems to be good right now.", "raw_text": "He seems to be good right now.", "start_time": 1563.98, "end_time": 1565.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 352, "text": "I don't know how much I'll have to help next week should be pretty reasonable though.", "raw_text": "I don't know how much I'll have to help next week should be pretty reasonable though.", "start_time": 1565.26, "end_time": 1570.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 353, "text": "I could either just focus on the marketing side or this deployment side.", "raw_text": "I could either just focus on the marketing side or this deployment side.", "start_time": 1570.41, "end_time": 1573.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 354, "text": "I get at least a couple, probably two days next week I could put into it.", "raw_text": "I get at least a couple, probably two days next week I could put into it.", "start_time": 1573.89, "end_time": 1577.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "So probably commit get pretty far.", "raw_text": "So probably commit get pretty far.", "start_time": 1577.37, "end_time": 1579.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 356, "text": "If we.", "raw_text": "If we.", "start_time": 1579.81, "end_time": 1580.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 357, "text": "If you're checking in with me too.", "raw_text": "If you're checking in with me too.", "start_time": 1580.33, "end_time": 1581.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 358, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1582.689, "end_time": 1583.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 359, "text": "When's our next touch base?", "raw_text": "When's our next touch base?", "start_time": 1583.05, "end_time": 1584.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 360, "text": "So if we just said like if, if you walked away right now of like getting this demo data environment stood up, like that's enough to keep you busy until.", "raw_text": "So if we just said like if, if you walked away right now of like getting this demo data environment stood up, like that's enough to keep you busy until.", "start_time": 1584.41, "end_time": 1592.45, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 361, "text": "I definitely have enough to keep me busy.", "raw_text": "I definitely have enough to keep me busy.", "start_time": 1594.37, "end_time": 1595.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "I know right now I have.", "raw_text": "I know right now I have.", "start_time": 1595.97, "end_time": 1597.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "I can.", "raw_text": "I can.", "start_time": 1597.41, "end_time": 1598.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "The marketing stuff's clear.", "raw_text": "The marketing stuff's clear.", "start_time": 1598.53, "end_time": 1600.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 365, "text": "The demo environment stuff I probably need help with on the Azure side, but I can go look back in to see if I have access.", "raw_text": "The demo environment stuff I probably need help with on the Azure side, but I can go look back in to see if I have access.", "start_time": 1600.21, "end_time": 1605.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 366, "text": "And then right now just getting that demo branch merged in with the app builder.", "raw_text": "And then right now just getting that demo branch merged in with the app builder.", "start_time": 1606.21, "end_time": 1610.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "I mean that could be.", "raw_text": "I mean that could be.", "start_time": 1610.05, "end_time": 1611.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 368, "text": "I don't even know if I'll get that done.", "raw_text": "I don't even know if I'll get that done.", "start_time": 1611.41, "end_time": 1612.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 369, "text": "That's enough through Friday.", "raw_text": "That's enough through Friday.", "start_time": 1612.73, "end_time": 1613.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 370, "text": "I have enough through Friday.", "raw_text": "I have enough through Friday.", "start_time": 1614.13, "end_time": 1615.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 371, "text": "And then by month we have a touchpoint tomorrow with marketing.", "raw_text": "And then by month we have a touchpoint tomorrow with marketing.", "start_time": 1615.25, "end_time": 1617.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "I'll come in tomorrow, we can sit down and get that access.", "raw_text": "I'll come in tomorrow, we can sit down and get that access.", "start_time": 1618.05, "end_time": 1620.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 373, "text": "And if we have that, I'd be good probably till mid next week with stuff to do.", "raw_text": "And if we have that, I'd be good probably till mid next week with stuff to do.", "start_time": 1621.01, "end_time": 1624.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 374, "text": "Okay.", "raw_text": "Okay.", "start_time": 1625.4, "end_time": 1625.88, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 375, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1626.92, "end_time": 1627.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 376, "text": "So let's split it different.", "raw_text": "So let's split it different.", "start_time": 1628.52, "end_time": 1629.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 377, "text": "Like we'll split it like there's this foundation dev and right now we're just focused on getting demo data platform.", "raw_text": "Like we'll split it like there's this foundation dev and right now we're just focused on getting demo data platform.", "start_time": 1629.96, "end_time": 1635.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 378, "text": "And then number two would be like marketing, which would be a parallel effort that we'll talk in more detail tomorrow.", "raw_text": "And then number two would be like marketing, which would be a parallel effort that we'll talk in more detail tomorrow.", "start_time": 1635.96, "end_time": 1641.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 379, "text": "Yeah, that seems reasonable.", "raw_text": "Yeah, that seems reasonable.", "start_time": 1642.44, "end_time": 1643.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 380, "text": "Yeah, Murph's joining us.", "raw_text": "Yeah, Murph's joining us.", "start_time": 1644.92, "end_time": 1647.32, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 381, "text": "Lost track of time.", "raw_text": "Lost track of time.", "start_time": 1650.84, "end_time": 1651.88, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 382, "text": "Oh, you're good.", "raw_text": "Oh, you're good.", "start_time": 1651.88, "end_time": 1652.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 383, "text": "I was talking with lyrics.", "raw_text": "I was talking with lyrics.", "start_time": 1652.48, "end_time": 1653.64, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 384, "text": "I was just telling them like I did a bunch of PRs from the data platform side, which was like cleaning up pipeline stuff that was largely already in prod anyway because I was like fixing in pride.", "raw_text": "I was just telling them like I did a bunch of PRs from the data platform side, which was like cleaning up pipeline stuff that was largely already in prod anyway because I was like fixing in pride.", "start_time": 1656.99, "end_time": 1667.99, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 385, "text": "So.", "raw_text": "So.", "start_time": 1667.99, "end_time": 1668.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 386, "text": "And then I'm gonna put that PR out for the project manager, which is eventually I'd want to refactor that to be like inside the custom apps of foundation.", "raw_text": "And then I'm gonna put that PR out for the project manager, which is eventually I'd want to refactor that to be like inside the custom apps of foundation.", "start_time": 1669.79, "end_time": 1681.15, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 387, "text": "But right now it's just baked into the admin portal.", "raw_text": "But right now it's just baked into the admin portal.", "start_time": 1682.27, "end_time": 1685.36, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 388, "text": "But I think that'll be good to get like DOHA running through there and just fixing mapping stuff, which would help a lot for Sam's stuff.", "raw_text": "But I think that'll be good to get like DOHA running through there and just fixing mapping stuff, which would help a lot for Sam's stuff.", "start_time": 1685.36, "end_time": 1694, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 389, "text": "I was telling them the data Sam's getting from foundation is looking pretty good now.", "raw_text": "I was telling them the data Sam's getting from foundation is looking pretty good now.", "start_time": 1694.56, "end_time": 1699.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 390, "text": "Like toggles pretty squared away.", "raw_text": "Like toggles pretty squared away.", "start_time": 1699.6, "end_time": 1701.2, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 391, "text": "We figured out PT was like, could not be mapped to his canonical entry for some reason.", "raw_text": "We figured out PT was like, could not be mapped to his canonical entry for some reason.", "start_time": 1702.8, "end_time": 1708.08, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 392, "text": "I don't know, too short of a name or something.", "raw_text": "I don't know, too short of a name or something.", "start_time": 1709.2, "end_time": 1713.5, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 393, "text": "Like, I'm not sure what happened, but thought fixed it.", "raw_text": "Like, I'm not sure what happened, but thought fixed it.", "start_time": 1713.5, "end_time": 1716.94, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 394, "text": "All right.", "raw_text": "All right.", "start_time": 1718.86, "end_time": 1719.34, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 395, "text": "It said something about like a casing issue, but that didn't make sense.", "raw_text": "It said something about like a casing issue, but that didn't make sense.", "start_time": 1719.34, "end_time": 1722.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 396, "text": "But it's fixed, So we're going to revisit.", "raw_text": "But it's fixed, So we're going to revisit.", "start_time": 1724.94, "end_time": 1731.82, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 397, "text": "Oh, we got like most of the demo.", "raw_text": "Oh, we got like most of the demo.", "start_time": 1731.98, "end_time": 1733.78, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 398, "text": "Org stuff working in foundation now.", "raw_text": "Org stuff working in foundation now.", "start_time": 1733.78, "end_time": 1735.9, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 399, "text": "There's one current prod foundation, like all the jewelry stuff.", "raw_text": "There's one current prod foundation, like all the jewelry stuff.", "start_time": 1736.62, "end_time": 1740.95, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 400, "text": "Oh, nice.", "raw_text": "Oh, nice.", "start_time": 1741.27, "end_time": 1742.07, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 401, "text": "There's like four or five demo orgs in there.", "raw_text": "There's like four or five demo orgs in there.", "start_time": 1742.87, "end_time": 1745.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 402, "text": "Is that just on the main, like data platform instance?", "raw_text": "Is that just on the main, like data platform instance?", "start_time": 1746.47, "end_time": 1750.63, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 403, "text": "Yeah, just.", "raw_text": "Yeah, just.", "start_time": 1751.03, "end_time": 1751.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 404, "text": "Just using the multi tenancy stuff.", "raw_text": "Just using the multi tenancy stuff.", "start_time": 1751.87, "end_time": 1753.829, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 405, "text": "Yep.", "raw_text": "Yep.", "start_time": 1753.83, "end_time": 1754.39, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 406, "text": "Okay, cool.", "raw_text": "Okay, cool.", "start_time": 1755.67, "end_time": 1756.39, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 407, "text": "So what we're going to revisit now and we might need to make sure Kaden has access to the right Azure subscription.", "raw_text": "So what we're going to revisit now and we might need to make sure Kaden has access to the right Azure subscription.", "start_time": 1756.39, "end_time": 1762.47, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 408, "text": "He's going to basically just copy the two VMs that run foundation data platform prod.", "raw_text": "He's going to basically just copy the two VMs that run foundation data platform prod.", "start_time": 1762.95, "end_time": 1769.26, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 409, "text": "And then that way as we're becoming more dependent on like the MORAL and mcp, we can like more freely do demo stuff in a different environment without effing it up.", "raw_text": "And then that way as we're becoming more dependent on like the MORAL and mcp, we can like more freely do demo stuff in a different environment without effing it up.", "start_time": 1770.14, "end_time": 1779.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 410, "text": "Okay, so that's kind of marching orders for the rest of the week would be like getting that demo platform split up finally.", "raw_text": "Okay, so that's kind of marching orders for the rest of the week would be like getting that demo platform split up finally.", "start_time": 1779.74, "end_time": 1787.18, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 411, "text": "Now that we have to.", "raw_text": "Now that we have to.", "start_time": 1787.5, "end_time": 1788.3, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 412, "text": "Now we got it all working, so we'll copy that over and then there's kind of a separate this.", "raw_text": "Now we got it all working, so we'll copy that over and then there's kind of a separate this.", "start_time": 1788.3, "end_time": 1800.31, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 413, "text": "Oh, so have you seen these like HTML proposals I've been like pumping out?", "raw_text": "Oh, so have you seen these like HTML proposals I've been like pumping out?", "start_time": 1800.31, "end_time": 1806.39, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 414, "text": "Yeah, I've just been posted on netlify, so my thought would be that's why in the foundation mcp we could basically expose like a skill and a tool that like generates these.", "raw_text": "Yeah, I've just been posted on netlify, so my thought would be that's why in the foundation mcp we could basically expose like a skill and a tool that like generates these.", "start_time": 1806.87, "end_time": 1822.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 415, "text": "And then you'll be inside like your Claude doing it like the same way I'm already doing.", "raw_text": "And then you'll be inside like your Claude doing it like the same way I'm already doing.", "start_time": 1823.45, "end_time": 1829.53, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 416, "text": "But then I could hit like save proposal that would flow back into foundation, into that one drive folder structure that we had kind of identified.", "raw_text": "But then I could hit like save proposal that would flow back into foundation, into that one drive folder structure that we had kind of identified.", "start_time": 1829.85, "end_time": 1840.57, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 417, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1840.73, "end_time": 1841.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 418, "text": "And registered like as a proposal for that project.", "raw_text": "And registered like as a proposal for that project.", "start_time": 1841.21, "end_time": 1844.59, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 419, "text": "And then like we could just, instead of hosting a netlify like foundation, we just host it and we'd have like a little like proposal app and foundation in the app builder section.", "raw_text": "And then like we could just, instead of hosting a netlify like foundation, we just host it and we'd have like a little like proposal app and foundation in the app builder section.", "start_time": 1845.87, "end_time": 1854.83, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 420, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1855.71, "end_time": 1856.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 421, "text": "Like, see it.", "raw_text": "Like, see it.", "start_time": 1856.11, "end_time": 1856.99, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 422, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1857.79, "end_time": 1858.11, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 423, "text": "I mean, just HTML.", "raw_text": "I mean, just HTML.", "start_time": 1858.11, "end_time": 1859.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 424, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1859.35, "end_time": 1859.79, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 425, "text": "Why not just a file.", "raw_text": "Why not just a file.", "start_time": 1860.11, "end_time": 1861.47, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 426, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1861.47, "end_time": 1861.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 427, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1862.43, "end_time": 1862.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 428, "text": "I like it.", "raw_text": "I like it.", "start_time": 1862.79, "end_time": 1863.31, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 429, "text": "And then Kaden was saying like, there's other HTML stuff like our, like.", "raw_text": "And then Kaden was saying like, there's other HTML stuff like our, like.", "start_time": 1863.31, "end_time": 1866.75, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 430, "text": "But I think if I didn't have that or like impact versus effort stuff that he put together, that we could expose those same type of tools.", "raw_text": "But I think if I didn't have that or like impact versus effort stuff that he put together, that we could expose those same type of tools.", "start_time": 1867.79, "end_time": 1876.7, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 431, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1876.78, "end_time": 1877.18, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 432, "text": "To generate artifacts for clients that would demo really well too.", "raw_text": "To generate artifacts for clients that would demo really well too.", "start_time": 1877.18, "end_time": 1883.26, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 433, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1883.34, "end_time": 1883.82, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 434, "text": "For sure.", "raw_text": "For sure.", "start_time": 1884.14, "end_time": 1884.78, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 435, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1887.9, "end_time": 1888.38, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 436, "text": "Cool.", "raw_text": "Cool.", "start_time": 1888.38, "end_time": 1888.86, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 437, "text": "And then we could start to build out like some of the contextual data through the MCP as well.", "raw_text": "And then we could start to build out like some of the contextual data through the MCP as well.", "start_time": 1893.26, "end_time": 1900.07, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 438, "text": "Like, how do we sell foundation?", "raw_text": "Like, how do we sell foundation?", "start_time": 1900.15, "end_time": 1902.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 439, "text": "How are these deal structures?", "raw_text": "How are these deal structures?", "start_time": 1902.35, "end_time": 1903.67, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 440, "text": "It'll just all be like info things that aren't necessarily coming from like a data pipeline, but like once we have to be kind of more of the spaces.", "raw_text": "It'll just all be like info things that aren't necessarily coming from like a data pipeline, but like once we have to be kind of more of the spaces.", "start_time": 1903.91, "end_time": 1917.11, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 441, "text": "Revisiting a spaces concept.", "raw_text": "Revisiting a spaces concept.", "start_time": 1917.27, "end_time": 1918.91, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 442, "text": "Something a company perspective.", "raw_text": "Something a company perspective.", "start_time": 1918.91, "end_time": 1920.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 443, "text": "Four, two.", "raw_text": "Four, two.", "start_time": 1923.02, "end_time": 1923.5, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 444, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1925.58, "end_time": 1925.94, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 445, "text": "And actually thinking that out as opposed to just like.", "raw_text": "And actually thinking that out as opposed to just like.", "start_time": 1925.94, "end_time": 1928.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 446, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1928.7, "end_time": 1929.14, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 447, "text": "Throwing it in there as, hey, checking a box.", "raw_text": "Throwing it in there as, hey, checking a box.", "start_time": 1929.14, "end_time": 1931.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 448, "text": "Right.", "raw_text": "Right.", "start_time": 1931.74, "end_time": 1932.14, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 449, "text": "Y.", "raw_text": "Y.", "start_time": 1932.62, "end_time": 1933.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 450, "text": "So that was kind of it.", "raw_text": "So that was kind of it.", "start_time": 1938.06, "end_time": 1939.34, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 451, "text": "And then other than that, it's just like supporting Sam on his data stuff as it comes up.", "raw_text": "And then other than that, it's just like supporting Sam on his data stuff as it comes up.", "start_time": 1939.42, "end_time": 1945.1, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 452, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1949.03, "end_time": 1949.31, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 453, "text": "HubSpot's an interesting one.", "raw_text": "HubSpot's an interesting one.", "start_time": 1949.31, "end_time": 1950.83, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 454, "text": "I. I don't know.", "raw_text": "I. I don't know.", "start_time": 1950.83, "end_time": 1951.71, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 455, "text": "Like, you may be better especially it's like completely segmented from like, I think even whether we do it or the LN does it on the fly mapping like whatever we call stuff and HubSpot to our, like our projects after they sign and get into like toggle is like not going to be very easy.", "raw_text": "Like, you may be better especially it's like completely segmented from like, I think even whether we do it or the LN does it on the fly mapping like whatever we call stuff and HubSpot to our, like our projects after they sign and get into like toggle is like not going to be very easy.", "start_time": 1951.71, "end_time": 1973.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 456, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1973.67, "end_time": 1974.15, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 457, "text": "And if that's not like, that's really not the use case for the forecasting tool.", "raw_text": "And if that's not like, that's really not the use case for the forecasting tool.", "start_time": 1974.81, "end_time": 1978.09, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 458, "text": "We're more concerned.", "raw_text": "We're more concerned.", "start_time": 1978.09, "end_time": 1979.01, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 459, "text": "No.", "raw_text": "No.", "start_time": 1979.01, "end_time": 1979.17, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 460, "text": "It's all just forward.", "raw_text": "It's all just forward.", "start_time": 1979.17, "end_time": 1980.01, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 461, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1980.17, "end_time": 1980.53, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 462, "text": "So like you might just be about as good.", "raw_text": "So like you might just be about as good.", "start_time": 1980.53, "end_time": 1982.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 463, "text": "Like it's in foundation already.", "raw_text": "Like it's in foundation already.", "start_time": 1983.77, "end_time": 1985.17, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 464, "text": "But like using the.", "raw_text": "But like using the.", "start_time": 1985.17, "end_time": 1986.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 465, "text": "The HubSpot MCP was probably just as good.", "raw_text": "The HubSpot MCP was probably just as good.", "start_time": 1987.05, "end_time": 1990.93, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 466, "text": "Like it's kind of isolated anyway.", "raw_text": "Like it's kind of isolated anyway.", "start_time": 1990.93, "end_time": 1992.97, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 467, "text": "Awesome.", "raw_text": "Awesome.", "start_time": 1992.97, "end_time": 1993.61, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 468, "text": "So, yeah, the only friction point I think we identified and we talked about it whenever that was Was making sure we like break out the larger cars into like one deals.", "raw_text": "So, yeah, the only friction point I think we identified and we talked about it whenever that was Was making sure we like break out the larger cars into like one deals.", "start_time": 1993.69, "end_time": 2005.21, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 469, "text": "Sometimes we have like, yeah, it's like a 500k opportunity, but really it's a 25k cake.", "raw_text": "Sometimes we have like, yeah, it's like a 500k opportunity, but really it's a 25k cake.", "start_time": 2005.77, "end_time": 2011.29, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 470, "text": "Yeah, that should work fine for all the forecasting.", "raw_text": "Yeah, that should work fine for all the forecasting.", "start_time": 2016.57, "end_time": 2018.73, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 471, "text": "Cool.", "raw_text": "Cool.", "start_time": 2020.65, "end_time": 2021.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 472, "text": "So that's getting you caught to speed.", "raw_text": "So that's getting you caught to speed.", "start_time": 2022.25, "end_time": 2024.17, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 473, "text": "And we were just getting into like not really foundation proper, but like a separate marketing effort of like doing some refresh on our website.", "raw_text": "And we were just getting into like not really foundation proper, but like a separate marketing effort of like doing some refresh on our website.", "start_time": 2026.74, "end_time": 2040.02, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 474, "text": "Oh, nice.", "raw_text": "Oh, nice.", "start_time": 2044.02, "end_time": 2044.74, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 475, "text": "Nice.", "raw_text": "Nice.", "start_time": 2047.14, "end_time": 2047.58, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 476, "text": "That's sweet.", "raw_text": "That's sweet.", "start_time": 2047.58, "end_time": 2048.22, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 477, "text": "What was that one like 50, 50 kickoff, 55 discovery.", "raw_text": "What was that one like 50, 50 kickoff, 55 discovery.", "start_time": 2048.22, "end_time": 2052.15, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 478, "text": "And then you put in 250 to 300.", "raw_text": "And then you put in 250 to 300.", "start_time": 2052.15, "end_time": 2055.03, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 479, "text": "Just a higher number than I told them.", "raw_text": "Just a higher number than I told them.", "start_time": 2056.63, "end_time": 2058.39, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 480, "text": "Cool.", "raw_text": "Cool.", "start_time": 2058.39, "end_time": 2058.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 481, "text": "Nice.", "raw_text": "Nice.", "start_time": 2059.91, "end_time": 2060.39, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 482, "text": "Okay.", "raw_text": "Okay.", "start_time": 2060.63, "end_time": 2061.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 483, "text": "Okay.", "raw_text": "Okay.", "start_time": 2061.51, "end_time": 2062.07, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 484, "text": "Parked nuclear.", "raw_text": "Parked nuclear.", "start_time": 2065.67, "end_time": 2066.87, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 485, "text": "Oh, nice.", "raw_text": "Oh, nice.", "start_time": 2067.27, "end_time": 2068.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 486, "text": "I told I tell you about that one.", "raw_text": "I told I tell you about that one.", "start_time": 2069.11, "end_time": 2070.71, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 487, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 2071.27, "end_time": 2071.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "You said we were doing nuclear stuff, but it wasn't as cool as it sounds.", "raw_text": "You said we were doing nuclear stuff, but it wasn't as cool as it sounds.", "start_time": 2071.87, "end_time": 2074.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 489, "text": "Yeah, they're like a part procure.", "raw_text": "Yeah, they're like a part procure.", "start_time": 2075.11, "end_time": 2077.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 490, "text": "Actually like I feel like it's very similar to air control parts.", "raw_text": "Actually like I feel like it's very similar to air control parts.", "start_time": 2077.35, "end_time": 2081.27, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 491, "text": "I feel like we can find a lot of these middlemen, businesses that are like distributors.", "raw_text": "I feel like we can find a lot of these middlemen, businesses that are like distributors.", "start_time": 2081.629, "end_time": 2085.469, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 492, "text": "But if like a part.", "raw_text": "But if like a part.", "start_time": 2087.229, "end_time": 2089.069, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 493, "text": "If a nuclear plants like some ancient machinery that they installed like 10, 15 years ago, something breaks, it's like a real pain in the ass to like find a part for it.", "raw_text": "If a nuclear plants like some ancient machinery that they installed like 10, 15 years ago, something breaks, it's like a real pain in the ass to like find a part for it.", "start_time": 2089.149, "end_time": 2098.509, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 494, "text": "So these guys go and get either find a part or can like help with like reverse engineering it essentially.", "raw_text": "So these guys go and get either find a part or can like help with like reverse engineering it essentially.", "start_time": 2098.989, "end_time": 2105.949, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 495, "text": "That's what preferred airbags do too, right?", "raw_text": "That's what preferred airbags do too, right?", "start_time": 2107.16, "end_time": 2109, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 496, "text": "Were they looking, weren't they doing like used parts to or new parts to fit in the old aircraft?", "raw_text": "Were they looking, weren't they doing like used parts to or new parts to fit in the old aircraft?", "start_time": 2112.28, "end_time": 2119, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 497, "text": "Yeah, yeah, they were buying like lots of air parts from people around, triaging them and people get them.", "raw_text": "Yeah, yeah, they were buying like lots of air parts from people around, triaging them and people get them.", "start_time": 2119.48, "end_time": 2127, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 498, "text": "Like all the parts are so custom.", "raw_text": "Like all the parts are so custom.", "start_time": 2127.16, "end_time": 2128.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 499, "text": "Like.", "raw_text": "Like.", "start_time": 2130.12, "end_time": 2130.44, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 500, "text": "Yeah, I got one of these from 1967.", "raw_text": "Yeah, I got one of these from 1967.", "start_time": 2130.44, "end_time": 2132.44, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 501, "text": "He walked us through the warehouse.", "raw_text": "He walked us through the warehouse.", "start_time": 2134, "end_time": 2135, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 502, "text": "It was awesome.", "raw_text": "It was awesome.", "start_time": 2135, "end_time": 2135.68, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 503, "text": "Yeah, the airplane people, you got a Cessna 94.", "raw_text": "Yeah, the airplane people, you got a Cessna 94.", "start_time": 2135.76, "end_time": 2140.32, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 504, "text": "And that's what these guys are finding is they have a couple of people just like preferred us where they've got guys who can look at a plane and go, oh, I know everybody in that thing.", "raw_text": "And that's what these guys are finding is they have a couple of people just like preferred us where they've got guys who can look at a plane and go, oh, I know everybody in that thing.", "start_time": 2142.4, "end_time": 2151.28, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 505, "text": "Those people are going to be around.", "raw_text": "Those people are going to be around.", "start_time": 2151.28, "end_time": 2152.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 506, "text": "So here, can AI help us out on this?", "raw_text": "So here, can AI help us out on this?", "start_time": 2153.12, "end_time": 2155.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 507, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2163.78, "end_time": 2164.02, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 508, "text": "And then I think the other one I want to get into from a mic marketing is I'd love to like take this a layer up against the being like directly in foundation.", "raw_text": "And then I think the other one I want to get into from a mic marketing is I'd love to like take this a layer up against the being like directly in foundation.", "start_time": 2164.02, "end_time": 2176.019, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 509, "text": "It's more about like everything we do from an AI enablement perspective and like, I don't know, even just like building apps with AI.", "raw_text": "It's more about like everything we do from an AI enablement perspective and like, I don't know, even just like building apps with AI.", "start_time": 2176.019, "end_time": 2186.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 510, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2188.75, "end_time": 2189.07, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 511, "text": "So we're gonna take a shot at like just generating webflow content.", "raw_text": "So we're gonna take a shot at like just generating webflow content.", "start_time": 2189.95, "end_time": 2195.23, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 512, "text": "Yep.", "raw_text": "Yep.", "start_time": 2203.95, "end_time": 2204.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 513, "text": "How's it going with Safeguard?", "raw_text": "How's it going with Safeguard?", "start_time": 2208.99, "end_time": 2210.59, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 514, "text": "Oh, good.", "raw_text": "Oh, good.", "start_time": 2213.32, "end_time": 2213.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 515, "text": "We're starting to talk through like the preserve AI scope, which is where they're like clients are going to be actually using.", "raw_text": "We're starting to talk through like the preserve AI scope, which is where they're like clients are going to be actually using.", "start_time": 2214.04, "end_time": 2222.84, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 516, "text": "Kicking off like the foundation workflows.", "raw_text": "Kicking off like the foundation workflows.", "start_time": 2223.72, "end_time": 2225.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 517, "text": "Yeah, I mean we're wrapping up the end of that stub vacant one.", "raw_text": "Yeah, I mean we're wrapping up the end of that stub vacant one.", "start_time": 2226.12, "end_time": 2229.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 518, "text": "They're just doing a lot of testing on their side.", "raw_text": "They're just doing a lot of testing on their side.", "start_time": 2231, "end_time": 2233.4, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 519, "text": "Like the other day, Scott, they kicked off like 50 orders at the same time.", "raw_text": "Like the other day, Scott, they kicked off like 50 orders at the same time.", "start_time": 2238.05, "end_time": 2241.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 520, "text": "And just to see how they all process and how we handle them.", "raw_text": "And just to see how they all process and how we handle them.", "start_time": 2243.01, "end_time": 2246.61, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 521, "text": "Yeah, it was fine.", "raw_text": "Yeah, it was fine.", "start_time": 2246.85, "end_time": 2247.97, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 522, "text": "Nice.", "raw_text": "Nice.", "start_time": 2248.13, "end_time": 2248.61, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 523, "text": "It's really nice with all that stuff being on the workflow dev kit because like Vercel handles all the queuing and like all this staging and like.", "raw_text": "It's really nice with all that stuff being on the workflow dev kit because like Vercel handles all the queuing and like all this staging and like.", "start_time": 2249.65, "end_time": 2261.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 524, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2261.81, "end_time": 2262.37, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 525, "text": "So yeah, it's really nice offloading that compute.", "raw_text": "So yeah, it's really nice offloading that compute.", "start_time": 2264.78, "end_time": 2267.26, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 526, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 2269.66, "end_time": 2270.3, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 527, "text": "Again.", "raw_text": "Again.", "start_time": 2270.38, "end_time": 2270.78, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 528, "text": "We've got one like scaling bug fix there.", "raw_text": "We've got one like scaling bug fix there.", "start_time": 2271.1, "end_time": 2273.34, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 529, "text": "But like on the FIMT orders that they're going to be processing, it affects like one out of every 4,000.", "raw_text": "But like on the FIMT orders that they're going to be processing, it affects like one out of every 4,000.", "start_time": 2273.34, "end_time": 2280.3, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 530, "text": "So I have a PR made for it.", "raw_text": "So I have a PR made for it.", "start_time": 2283.58, "end_time": 2285.3, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 531, "text": "I just want more cycles on it because it was very like.", "raw_text": "I just want more cycles on it because it was very like.", "start_time": 2285.3, "end_time": 2288.86, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 532, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2290.53, "end_time": 2290.81, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 533, "text": "Generated.", "raw_text": "Generated.", "start_time": 2290.81, "end_time": 2291.41, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 534, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2291.81, "end_time": 2292.29, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 535, "text": "And it's a complicated change.", "raw_text": "And it's a complicated change.", "start_time": 2292.77, "end_time": 2294.37, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 536, "text": "It essentially says like if you're.", "raw_text": "It essentially says like if you're.", "start_time": 2295.81, "end_time": 2297.81, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 537, "text": "If your payload for a given node hits like a certain threshold, we offload that data.", "raw_text": "If your payload for a given node hits like a certain threshold, we offload that data.", "start_time": 2298.13, "end_time": 2303.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 538, "text": "So instead of passing it node to node, you have to pull it from like central based storage.", "raw_text": "So instead of passing it node to node, you have to pull it from like central based storage.", "start_time": 2304.05, "end_time": 2309.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 539, "text": "My video is kind of struggling on teams, but let me see what my speed test says.", "raw_text": "My video is kind of struggling on teams, but let me see what my speed test says.", "start_time": 2313.17, "end_time": 2320.1, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 540, "text": "Oh yeah, speed looks good in here.", "raw_text": "Oh yeah, speed looks good in here.", "start_time": 2320.5, "end_time": 2322.5, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 541, "text": "1200 Good.", "raw_text": "1200 Good.", "start_time": 2322.98, "end_time": 2327.22, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 542, "text": "So I'm at.", "raw_text": "So I'm at.", "start_time": 2339.06, "end_time": 2339.94, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 543, "text": "I'm on 2G.", "raw_text": "I'm on 2G.", "start_time": 2340.26, "end_time": 2341.66, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 544, "text": "Let me switch to 5G again.", "raw_text": "Let me switch to 5G again.", "start_time": 2341.66, "end_time": 2343.22, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 545, "text": "I'm at 8 megabytes per second.", "raw_text": "I'm at 8 megabytes per second.", "start_time": 2344.5, "end_time": 2346.82, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 546, "text": "There we go.", "raw_text": "There we go.", "start_time": 2356.42, "end_time": 2356.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 547, "text": "Five G's back up.", "raw_text": "Five G's back up.", "start_time": 2356.98, "end_time": 2358.1, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 548, "text": "Thanks, dude.", "raw_text": "Thanks, dude.", "start_time": 2367.38, "end_time": 2368.18, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 549, "text": "Cloud security Public data for cloud enterprise customers.", "raw_text": "Cloud security Public data for cloud enterprise customers.", "start_time": 2374.99, "end_time": 2379.63, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 550, "text": "Scans your code base for vulnerabilities.", "raw_text": "Scans your code base for vulnerabilities.", "start_time": 2380.27, "end_time": 2382.19, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 551, "text": "Validates each finding to cut false positives and suggest patches you can review and approve.", "raw_text": "Validates each finding to cut false positives and suggest patches you can review and approve.", "start_time": 2382.27, "end_time": 2388.03, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 552, "text": "Isn't that what you did for App Sec?", "raw_text": "Isn't that what you did for App Sec?", "start_time": 2388.91, "end_time": 2392.99, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 553, "text": "Where are you reading this from?", "raw_text": "Where are you reading this from?", "start_time": 2396.6, "end_time": 2397.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 554, "text": "Twitter or I'll send it to you.", "raw_text": "Twitter or I'll send it to you.", "start_time": 2398.44, "end_time": 2400.68, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 555, "text": "So what's the.", "raw_text": "So what's the.", "start_time": 2405.08, "end_time": 2405.92, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 556, "text": "Dude, you just give it like a GitHub and it just goes looking, looking at it.", "raw_text": "Dude, you just give it like a GitHub and it just goes looking, looking at it.", "start_time": 2405.92, "end_time": 2409.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 557, "text": "Don't look for NR code.", "raw_text": "Don't look for NR code.", "start_time": 2409.48, "end_time": 2411.4, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 558, "text": "I'm gonna put this on all our old stuff.", "raw_text": "I'm gonna put this on all our old stuff.", "start_time": 2413.32, "end_time": 2416.04, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 559, "text": "I have so much.", "raw_text": "I have so much.", "start_time": 2416.2, "end_time": 2417.16, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 560, "text": "Say it again.", "raw_text": "Say it again.", "start_time": 2420.29, "end_time": 2420.85, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 561, "text": "I'm gonna have this scan all our old stuff from back in the day.", "raw_text": "I'm gonna have this scan all our old stuff from back in the day.", "start_time": 2420.93, "end_time": 2424.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 562, "text": "We probably have so much.netcore 2.2 stuff.", "raw_text": "We probably have so much.netcore 2.2 stuff.", "start_time": 2424.13, "end_time": 2428.73, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 563, "text": "Don't do it.", "raw_text": "Don't do it.", "start_time": 2428.73, "end_time": 2429.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 564, "text": "It's just on the security tab.", "raw_text": "It's just on the security tab.", "start_time": 2434.21, "end_time": 2436.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 565, "text": "Do we have that already?", "raw_text": "Do we have that already?", "start_time": 2436.05, "end_time": 2437.09, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 566, "text": "Let's just come out today.", "raw_text": "Let's just come out today.", "start_time": 2439.33, "end_time": 2440.45, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 567, "text": "Oh, I'm a workslot.", "raw_text": "Oh, I'm a workslot.", "start_time": 2442.13, "end_time": 2444.49, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 568, "text": "Enterprise, right?", "raw_text": "Enterprise, right?", "start_time": 2444.49, "end_time": 2445.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 569, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2446.02, "end_time": 2446.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 570, "text": "Team technically.", "raw_text": "Team technically.", "start_time": 2448.74, "end_time": 2450.1, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 571, "text": "Is that the same?", "raw_text": "Is that the same?", "start_time": 2450.42, "end_time": 2451.3, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 572, "text": "No, I think Enterprise is one more bump up.", "raw_text": "No, I think Enterprise is one more bump up.", "start_time": 2453.3, "end_time": 2455.7, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 573, "text": "Oh, so we don't have Enterprise.", "raw_text": "Oh, so we don't have Enterprise.", "start_time": 2455.78, "end_time": 2457.9, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 574, "text": "Interesting.", "raw_text": "Interesting.", "start_time": 2457.9, "end_time": 2458.5, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 575, "text": "The.", "raw_text": "The.", "start_time": 2491.07, "end_time": 2491.31, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 576, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2491.79, "end_time": 2492.35, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 577, "text": "You have access to give Caden internal subscription access or is that Steve thing?", "raw_text": "You have access to give Caden internal subscription access or is that Steve thing?", "start_time": 2492.75, "end_time": 2498.52, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 578, "text": "Wait Justin, did you send a tweet?", "raw_text": "Wait Justin, did you send a tweet?", "start_time": 2509.16, "end_time": 2510.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 579, "text": "I put it in the chat just on the team's meeting.", "raw_text": "I put it in the chat just on the team's meeting.", "start_time": 2511.72, "end_time": 2517.36, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 580, "text": "Chat here.", "raw_text": "Chat here.", "start_time": 2517.36, "end_time": 2518.04, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 581, "text": "Oh, I don't see it.", "raw_text": "Oh, I don't see it.", "start_time": 2518.92, "end_time": 2519.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 582, "text": "What.", "raw_text": "What.", "start_time": 2521.08, "end_time": 2521.48, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 583, "text": "Should be.", "raw_text": "Should be.", "start_time": 2527.65, "end_time": 2528.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 584, "text": "I see it.", "raw_text": "I see it.", "start_time": 2528.45, "end_time": 2529.09, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 585, "text": "Oh, wait, there's not a little check mark there.", "raw_text": "Oh, wait, there's not a little check mark there.", "start_time": 2529.09, "end_time": 2531.25, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 586, "text": "Retrying message delay due to connection issues.", "raw_text": "Retrying message delay due to connection issues.", "start_time": 2531.33, "end_time": 2534.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 587, "text": "I think it might be a teams issue because my Internet is fast right now.", "raw_text": "I think it might be a teams issue because my Internet is fast right now.", "start_time": 2536.53, "end_time": 2540.37, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 588, "text": "But you would work at a co working space.", "raw_text": "But you would work at a co working space.", "start_time": 2541.65, "end_time": 2543.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 589, "text": "Probably less likely to work in your co working space but.", "raw_text": "Probably less likely to work in your co working space but.", "start_time": 2545.33, "end_time": 2548.45, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 590, "text": "Try to send in again.", "raw_text": "Try to send in again.", "start_time": 2556.47, "end_time": 2557.67, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 591, "text": "Well, if you just go on Twitter and search Claude Security, it probably pop up.", "raw_text": "Well, if you just go on Twitter and search Claude Security, it probably pop up.", "start_time": 2562.87, "end_time": 2567.43, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 592, "text": "I'll go look.", "raw_text": "I'll go look.", "start_time": 2570.87, "end_time": 2571.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 593, "text": "Oh, this is from Claude.", "raw_text": "Oh, this is from Claude.", "start_time": 2571.67, "end_time": 2573.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 594, "text": "Yeah, I just saw a bunch of.", "raw_text": "Yeah, I just saw a bunch of.", "start_time": 2574.07, "end_time": 2576.92, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 595, "text": "People flaming them because if any of your requests over the API say Open claw, they just instantly 400 error you and you have to use your extra usage even if it does not.", "raw_text": "People flaming them because if any of your requests over the API say Open claw, they just instantly 400 error you and you have to use your extra usage even if it does not.", "start_time": 2576.92, "end_time": 2586.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 596, "text": "Like if you're.", "raw_text": "Like if you're.", "start_time": 2586.72, "end_time": 2587.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 597, "text": "If you just.", "raw_text": "If you just.", "start_time": 2587.28, "end_time": 2587.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 598, "text": "Anything in your code says Open Claw, you get throttle.", "raw_text": "Anything in your code says Open Claw, you get throttle.", "start_time": 2587.76, "end_time": 2590.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 599, "text": "Yikes.", "raw_text": "Yikes.", "start_time": 2591.16, "end_time": 2591.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 600, "text": "You should be good on Azure now for that internal subscription.", "raw_text": "You should be good on Azure now for that internal subscription.", "start_time": 2593.4, "end_time": 2596.28, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 601, "text": "Oh yeah, I just.", "raw_text": "Oh yeah, I just.", "start_time": 2597, "end_time": 2597.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 602, "text": "I just got an email.", "raw_text": "I just got an email.", "start_time": 2597.8, "end_time": 2598.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 603, "text": "Thanks.", "raw_text": "Thanks.", "start_time": 2600.68, "end_time": 2601.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 604, "text": "So you'll need to copy.", "raw_text": "So you'll need to copy.", "start_time": 2603.07, "end_time": 2604.83, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 605, "text": "Oh, what is all this stuff?", "raw_text": "Oh, what is all this stuff?", "start_time": 2611.95, "end_time": 2613.63, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 606, "text": "I'll just look.", "raw_text": "I'll just look.", "start_time": 2618.27, "end_time": 2618.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 607, "text": "Yeah, I'll look into what I should do and then I'll double check it with you tomorrow before I start spinning stuff up.", "raw_text": "Yeah, I'll look into what I should do and then I'll double check it with you tomorrow before I start spinning stuff up.", "start_time": 2618.87, "end_time": 2623.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 608, "text": "It's.", "raw_text": "It's.", "start_time": 2623.87, "end_time": 2624.39, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 609, "text": "It's data platform production compute and there's another VM.", "raw_text": "It's data platform production compute and there's another VM.", "start_time": 2624.39, "end_time": 2634.6, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 610, "text": "Oh, data platform production data.", "raw_text": "Oh, data platform production data.", "start_time": 2634.6, "end_time": 2637.24, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 611, "text": "Those two VMs we should copy and then from there you'll just need.", "raw_text": "Those two VMs we should copy and then from there you'll just need.", "start_time": 2639.96, "end_time": 2647.08, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 612, "text": "What's our.", "raw_text": "What's our.", "start_time": 2647.24, "end_time": 2647.76, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 613, "text": "What was our branching strategy we decided on this demo or new branch?", "raw_text": "What was our branching strategy we decided on this demo or new branch?", "start_time": 2647.76, "end_time": 2654.05, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 614, "text": "New repo.", "raw_text": "New repo.", "start_time": 2654.05, "end_time": 2654.85, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 615, "text": "Forked.", "raw_text": "Forked.", "start_time": 2655.17, "end_time": 2655.73, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 616, "text": "I think it was forked maybe.", "raw_text": "I think it was forked maybe.", "start_time": 2655.73, "end_time": 2657.17, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 617, "text": "Well, for customers we've been forking.", "raw_text": "Well, for customers we've been forking.", "start_time": 2658.53, "end_time": 2661.01, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 618, "text": "So for demo we kind of never.", "raw_text": "So for demo we kind of never.", "start_time": 2661.01, "end_time": 2664.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 619, "text": "Came back to that.", "raw_text": "Came back to that.", "start_time": 2664.65, "end_time": 2665.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 620, "text": "What we originally discussed was we would have two branches in the same repo and one branch would be like our main and one would be like our staging and that's for like the Moreland.", "raw_text": "What we originally discussed was we would have two branches in the same repo and one branch would be like our main and one would be like our staging and that's for like the Moreland.", "start_time": 2665.49, "end_time": 2676.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 621, "text": "Org.", "raw_text": "Org.", "start_time": 2676.93, "end_time": 2677.45, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 622, "text": "And then we would be pushing to the staging and then we would be using the main for the Moreland.", "raw_text": "And then we would be pushing to the staging and then we would be using the main for the Moreland.", "start_time": 2677.45, "end_time": 2681.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 623, "text": "Org and then a demo would also be pointed at the main and we would just swap.", "raw_text": "Org and then a demo would also be pointed at the main and we would just swap.", "start_time": 2681.65, "end_time": 2686.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 624, "text": "Swap the data if we needed that.", "raw_text": "Swap the data if we needed that.", "start_time": 2686.16, "end_time": 2687.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 625, "text": "And then all customers would be forking.", "raw_text": "And then all customers would be forking.", "start_time": 2687.64, "end_time": 2689.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 626, "text": "But that was.", "raw_text": "But that was.", "start_time": 2689.8, "end_time": 2691.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 627, "text": "We didn't really like that was on the app side.", "raw_text": "We didn't really like that was on the app side.", "start_time": 2691.8, "end_time": 2694.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 628, "text": "We didn't compare that with what we do on the data platform side.", "raw_text": "We didn't compare that with what we do on the data platform side.", "start_time": 2694.08, "end_time": 2696.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 629, "text": "And that's kind of where it breaks down currently.", "raw_text": "And that's kind of where it breaks down currently.", "start_time": 2696.72, "end_time": 2698.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 630, "text": "What's the downs?", "raw_text": "What's the downs?", "start_time": 2703.96, "end_time": 2704.84, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 631, "text": "If we're forking customers, we might as well just fork the demo.", "raw_text": "If we're forking customers, we might as well just fork the demo.", "start_time": 2704.84, "end_time": 2709.22, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 632, "text": "Yeah, we could do that too because.", "raw_text": "Yeah, we could do that too because.", "start_time": 2711.3, "end_time": 2713.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 633, "text": "Then it's easy to make PRs back into the original Original.", "raw_text": "Then it's easy to make PRs back into the original Original.", "start_time": 2713.18, "end_time": 2719.62, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 634, "text": "We'll give it some more thought.", "raw_text": "We'll give it some more thought.", "start_time": 2729.14, "end_time": 2730.34, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 635, "text": "But that's it.", "raw_text": "But that's it.", "start_time": 2730.34, "end_time": 2732.02, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 636, "text": "Essentially, when you.", "raw_text": "Essentially, when you.", "start_time": 2733.3, "end_time": 2734.26, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 637, "text": "The good.", "raw_text": "The good.", "start_time": 2740.48, "end_time": 2740.84, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 638, "text": "We were watching the good place.", "raw_text": "We were watching the good place.", "start_time": 2740.84, "end_time": 2742.08, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 639, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 2742.4, "end_time": 2742.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 640, "text": "She can't say.", "raw_text": "She can't say.", "start_time": 2742.96, "end_time": 2743.68, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 641, "text": "So whatever she tries to say it, it comes out forky.", "raw_text": "So whatever she tries to say it, it comes out forky.", "start_time": 2743.92, "end_time": 2746.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 642, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2746.96, "end_time": 2747.44, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 643, "text": "So, yeah, once you copy those two VMs, whatever branch or fork strategy, we'll just have to update the CICD there to deploy to this new pair.", "raw_text": "So, yeah, once you copy those two VMs, whatever branch or fork strategy, we'll just have to update the CICD there to deploy to this new pair.", "start_time": 2751.28, "end_time": 2768.2, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 644, "text": "I'm not exactly sure why there's two VMs, but that was how Boone set it up.", "raw_text": "I'm not exactly sure why there's two VMs, but that was how Boone set it up.", "start_time": 2770.6, "end_time": 2774.76, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 645, "text": "Did you see Stripe just launched Link, which is a wallet for agents?", "raw_text": "Did you see Stripe just launched Link, which is a wallet for agents?", "start_time": 2775.959, "end_time": 2779.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 646, "text": "You can empower your agents to spend money on your behalf.", "raw_text": "You can empower your agents to spend money on your behalf.", "start_time": 2779.52, "end_time": 2782.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 647, "text": "Yeah, I saw that.", "raw_text": "Yeah, I saw that.", "start_time": 2783.72, "end_time": 2784.76, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 648, "text": "That's pretty sweet.", "raw_text": "That's pretty sweet.", "start_time": 2784.76, "end_time": 2785.56, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 649, "text": "This guy's talking about.", "raw_text": "This guy's talking about.", "start_time": 2787.93, "end_time": 2789.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 650, "text": "This means Stripe just gave you a new way for generational wealth.", "raw_text": "This means Stripe just gave you a new way for generational wealth.", "start_time": 2789.05, "end_time": 2792.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 651, "text": "Just let agents spend all your money.", "raw_text": "Just let agents spend all your money.", "start_time": 2792.01, "end_time": 2793.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 652, "text": "What could go wrong?", "raw_text": "What could go wrong?", "start_time": 2797.45, "end_time": 2798.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 653, "text": "That's gonna go very terribly wrong.", "raw_text": "That's gonna go very terribly wrong.", "start_time": 2804.17, "end_time": 2806.01, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 654, "text": "I think this is a good one, too.", "raw_text": "I think this is a good one, too.", "start_time": 2806.01, "end_time": 2809.53, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 655, "text": "All right, cool.", "raw_text": "All right, cool.", "start_time": 2811.05, "end_time": 2812.89, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 656, "text": "Well, I didn't get some marching orders.", "raw_text": "Well, I didn't get some marching orders.", "start_time": 2812.89, "end_time": 2814.65, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 657, "text": "Yeah, that sounds good.", "raw_text": "Yeah, that sounds good.", "start_time": 2822.65, "end_time": 2823.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 658, "text": "I got stuff to do.", "raw_text": "I got stuff to do.", "start_time": 2823.41, "end_time": 2824.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 659, "text": "And then, Murph, I. I'm working on trying to get that app builder PR ready to go.", "raw_text": "And then, Murph, I. I'm working on trying to get that app builder PR ready to go.", "start_time": 2824.73, "end_time": 2828.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 660, "text": "I'm kind of pushing them into demo.", "raw_text": "I'm kind of pushing them into demo.", "start_time": 2828.89, "end_time": 2830.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 661, "text": "I could probably.", "raw_text": "I could probably.", "start_time": 2830.57, "end_time": 2831.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 662, "text": "We could probably Target stand up next week on Tuesday to review that with you.", "raw_text": "We could probably Target stand up next week on Tuesday to review that with you.", "start_time": 2831.25, "end_time": 2835.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 663, "text": "When we talked about, like, how it touches the workflow builder and stuff before, I actually, like, like, push it in.", "raw_text": "When we talked about, like, how it touches the workflow builder and stuff before, I actually, like, like, push it in.", "start_time": 2835.49, "end_time": 2840, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 664, "text": "Okay.", "raw_text": "Okay.", "start_time": 2841.2, "end_time": 2841.76, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 665, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2842.32, "end_time": 2842.72, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 666, "text": "Yeah, that sounds good.", "raw_text": "Yeah, that sounds good.", "start_time": 2842.72, "end_time": 2843.68, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 667, "text": "Alrighty.", "raw_text": "Alrighty.", "start_time": 2854.32, "end_time": 2854.96, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 668, "text": "I saw another good tweet.", "raw_text": "I saw another good tweet.", "start_time": 2855.52, "end_time": 2856.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 669, "text": "I sent it to the AI channel.", "raw_text": "I sent it to the AI channel.", "start_time": 2856.76, "end_time": 2858.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 670, "text": "Said me watching two anthropic engineers realizing I use cloud code like a monkey.", "raw_text": "Said me watching two anthropic engineers realizing I use cloud code like a monkey.", "start_time": 2858.2, "end_time": 2862.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 671, "text": "Good summary of my Twitter feed.", "raw_text": "Good summary of my Twitter feed.", "start_time": 2868.89, "end_time": 2870.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 672, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2871.29, "end_time": 2871.85, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 673, "text": "All right, fellas, back to it.", "raw_text": "All right, fellas, back to it.", "start_time": 2875.77, "end_time": 2877.17, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 674, "text": "Yep.", "raw_text": "Yep.", "start_time": 2877.17, "end_time": 2877.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 675, "text": "See you guys.", "raw_text": "See you guys.", "start_time": 2878.49, "end_time": 2879.13, "speaker_id": 1, "speaker_name": "Justin"}, {"index": 676, "text": "Thank you.", "raw_text": "Thank you.", "start_time": 2879.13, "end_time": 2893.13, "speaker_id": 1, "speaker_name": "Justin"}]
participant_count
5
participants
[{"email": "caden.kacmarynski@morelandconnect.com", "name": null}, {"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "nick.buzzy@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
—
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| fireflies | 01KQA9NWGEWYX1C210W1NJ1KVX | Foundation Data meeting 4-28 | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KQA9NWGEWYX1C210W1NJ1KVX
title
Foundation Data meeting 4-28
date
2026-04-28 15:00:00+00:00
duration_minutes
93
duration
93
transcript_url
https://app.fireflies.ai/view/01KQA9NWGEWYX1C210W1NJ1KVX
meeting_link
—
short_summary
The meeting focused on improving knowledge management through self-healing, linting processes for data accuracy, and a structured system that includes enterprise, project, and personal knowledge layers. The team emphasized the importance of maintaining clean and accurate knowledge bases supported by automated scripts and human QA. They also discussed the significance of Markdown files for documentation, as well as the challenges posed by knowledge sprawl and varying user preferences. Automation tools that streamline task generation from meeting transcripts were highlighted as vital for improving project tracking, while plans to establish a shared blob storage infrastructure for enterprise documents were outlined for enhanced accessibility and compliance.
action_items
"\\n**Justin**\\nReview and set up Sam\\u2019s Toggl data environment to ensure proper integration and data accuracy (00:47)\\nCollaborate with team on defining minimum schemas and process flows for data platform and knowledge management foundation (00:28)\\nLead pilot projects to define enterprise, personal, and project layer data division and integration (01:02)\\nAutomate ingestion and sharing of meeting transcripts and summaries with Slack or other team collaboration tools (00:50)\\nCoordinate training on AI workflows and usage of MCP, skills, and Foundation platform among developers and teams (01:31)\\nWork on tooling to transform meeting notes into Linear tickets and PR workflows for developers with detailed verification steps (01:06)\\n\\n**Murphy**\\nCatch up asynchronously on the uploaded slides and knowledge-sharing documents (00:00)\\n\\n**Sam**\\nContinue evolving scheduled ingest and self-healing workflows for personal and project level knowledge bases (00:35)\\nProvide shared folder structure and document organization to maximize reuse and linting at all levels (00:37)\\n\\n**Christopher**\\nRefine air gap/middle layer architecture to safely sync data from external sources to internal knowledge layers (00:42)\\nApply personal project organization improvements and triage basket for document approvals and fixes (00:43)\\n\\n**Team**\\nRemove Fireflies transcription service if MS Teams transcription or Granola can be standardized at organization level (01:13)\\nImplement daily lint and heal automated routines to maintain data integrity in repos, skilled workflows, and knowledge bases (00:05)\\nDevelop shared or canonical blob data storage that supports markdown document management and enterprise access (00:45)\\nEstablish a process for post-meeting decision interviews or automated capture to enrich tribal knowledge and change logs (00:55)\\nEvaluate and improve the experience of AI-generated summaries by incorporating interactive validation and feedback loops (01:11)\\n"
transcript_text
[{"index": 0, "text": "Try to go find my diagram.", "raw_text": "Try to go find my diagram.", "start_time": 17.04, "end_time": 18.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1, "text": "The tweets got pulled down.", "raw_text": "The tweets got pulled down.", "start_time": 18.16, "end_time": 19.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 2, "text": "I think Murph's coming, so I'll wait for him.", "raw_text": "I think Murph's coming, so I'll wait for him.", "start_time": 23.44, "end_time": 26.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 3, "text": "But I got a couple things I'll drop.", "raw_text": "But I got a couple things I'll drop.", "start_time": 27.52, "end_time": 29.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 4, "text": "Drop in after this.", "raw_text": "Drop in after this.", "start_time": 29.24, "end_time": 30.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 5, "text": "This, the original thing we talked about with those use cases.", "raw_text": "This, the original thing we talked about with those use cases.", "start_time": 31.52, "end_time": 34.62, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 6, "text": "And then I made another one that kind of goes over what I got from Sam's files, Christopher's files, and then some other wikis.", "raw_text": "And then I made another one that kind of goes over what I got from Sam's files, Christopher's files, and then some other wikis.", "start_time": 35.26, "end_time": 43.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 7, "text": "And then I have a suggestion on how we can go about building this, but it's just a canvas we can start with.", "raw_text": "And then I have a suggestion on how we can go about building this, but it's just a canvas we can start with.", "start_time": 43.5, "end_time": 50.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 8, "text": "And then I put it in slide form, but I have just the HTML with all the data after, so I can share that or give it via markdown.", "raw_text": "And then I put it in slide form, but I have just the HTML with all the data after, so I can share that or give it via markdown.", "start_time": 51.1, "end_time": 58.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 9, "text": "Okay.", "raw_text": "Okay.", "start_time": 58.14, "end_time": 58.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 10, "text": "I don't know if Boone will hop on, but I'm sure he'll catch up.", "raw_text": "I don't know if Boone will hop on, but I'm sure he'll catch up.", "start_time": 58.86, "end_time": 61.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 11, "text": "We can just get going.", "raw_text": "We can just get going.", "start_time": 61.54, "end_time": 62.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 12, "text": "You got out in 30 minutes.", "raw_text": "You got out in 30 minutes.", "start_time": 62.3, "end_time": 63.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 13, "text": "But to be candid, I just made these slides and haven't read them yet, so we'll see how good they are.", "raw_text": "But to be candid, I just made these slides and haven't read them yet, so we'll see how good they are.", "start_time": 64.52, "end_time": 69.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 14, "text": "But it was a good conversation, really.", "raw_text": "But it was a good conversation, really.", "start_time": 69.56, "end_time": 72.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 15, "text": "Let's see how this goal was.", "raw_text": "Let's see how this goal was.", "start_time": 73.16, "end_time": 74.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 16, "text": "Essentially, the goal of this meeting that I was wanting to go through was to go over, essentially, demos, but talk through, like, what's going on with the LLM wiki.", "raw_text": "Essentially, the goal of this meeting that I was wanting to go through was to go over, essentially, demos, but talk through, like, what's going on with the LLM wiki.", "start_time": 74.76, "end_time": 84.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 17, "text": "And I think we're not building that, but there's lessons from that we should take.", "raw_text": "And I think we're not building that, but there's lessons from that we should take.", "start_time": 84.52, "end_time": 88.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 18, "text": "And I think.", "raw_text": "And I think.", "start_time": 88.84, "end_time": 89.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 19, "text": "I don't know how well this slideshow is going to lay it out, but I'll be able to point out, I think there's like, three or four things that I feel pretty strongly we should incorporate in whatever we decide to do, such as, like, ways we're sharing between projects and enterprise and kind of, like how we want to store data, and then we can figure out how to map that to foundation or not and what that makes sense.", "raw_text": "I don't know how well this slideshow is going to lay it out, but I'll be able to point out, I think there's like, three or four things that I feel pretty strongly we should incorporate in whatever we decide to do, such as, like, ways we're sharing between projects and enterprise and kind of, like how we want to store data, and then we can figure out how to map that to foundation or not and what that makes sense.", "start_time": 90.04, "end_time": 110.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 20, "text": "So essentially, start off with sharing what we've learned and some thoughts there.", "raw_text": "So essentially, start off with sharing what we've learned and some thoughts there.", "start_time": 110.74, "end_time": 116.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 21, "text": "Then try to agree on where we want this knowledge to live moving forward and how we'll set it up.", "raw_text": "Then try to agree on where we want this knowledge to live moving forward and how we'll set it up.", "start_time": 116.34, "end_time": 121.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 22, "text": "And then talk through, like, what to build or what not to build as well.", "raw_text": "And then talk through, like, what to build or what not to build as well.", "start_time": 121.22, "end_time": 126.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 23, "text": "So I feel like we've talked through this before, but essentially, really, our issue here is trying to define a source of truth, controlling the context and then which knowledge is, like, ephemeral or, like, where we need knowledge to stay or what's temporary.", "raw_text": "So I feel like we've talked through this before, but essentially, really, our issue here is trying to define a source of truth, controlling the context and then which knowledge is, like, ephemeral or, like, where we need knowledge to stay or what's temporary.", "start_time": 130.64, "end_time": 146.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 24, "text": "That's kind of the problems we're dealing with.", "raw_text": "That's kind of the problems we're dealing with.", "start_time": 147.92, "end_time": 150.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 25, "text": "So this is a version of.", "raw_text": "So this is a version of.", "start_time": 151.84, "end_time": 155.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 26, "text": "I don't know if you've seen.", "raw_text": "I don't know if you've seen.", "start_time": 155.08, "end_time": 156.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 27, "text": "Let me pull this.", "raw_text": "Let me pull this.", "start_time": 156.72, "end_time": 157.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 28, "text": "Open this document.", "raw_text": "Open this document.", "start_time": 157.52, "end_time": 159.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 29, "text": "Actually, I wanted to get a better version of this chart, but the tweet got Deleted.", "raw_text": "Actually, I wanted to get a better version of this chart, but the tweet got Deleted.", "start_time": 159.9, "end_time": 163.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 30, "text": "This is from Carpathy's LLM wiki and I think there's some interesting lessons to be learned in this.", "raw_text": "This is from Carpathy's LLM wiki and I think there's some interesting lessons to be learned in this.", "start_time": 164.62, "end_time": 172.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 31, "text": "I have some examples I can show off where people made like actual Wikipedias.", "raw_text": "I have some examples I can show off where people made like actual Wikipedias.", "start_time": 172.46, "end_time": 175.739, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 32, "text": "But the background of him doing this wiki wasn't necessarily a source of truth at an enterprise level.", "raw_text": "But the background of him doing this wiki wasn't necessarily a source of truth at an enterprise level.", "start_time": 175.739, "end_time": 182.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 33, "text": "It was more so I want to research a topic, so let me grab like 10 or 20 papers and then create notebook LM on steroids type of thing.", "raw_text": "It was more so I want to research a topic, so let me grab like 10 or 20 papers and then create notebook LM on steroids type of thing.", "start_time": 182.14, "end_time": 189.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 34, "text": "But I think the best part of about that was there's like the main pipeline layer.", "raw_text": "But I think the best part of about that was there's like the main pipeline layer.", "start_time": 189.9, "end_time": 194.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 35, "text": "And that's kind of what this slideshow is saying of you take your sources, you take your data, you put it into this like raw unprocessed file that then goes into a markdown knowledge base with summaries and links and an index.", "raw_text": "And that's kind of what this slideshow is saying of you take your sources, you take your data, you put it into this like raw unprocessed file that then goes into a markdown knowledge base with summaries and links and an index.", "start_time": 194.8, "end_time": 207.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 36, "text": "But then as you do Q and A on it, it's basically self improving and you're getting an output for reports.", "raw_text": "But then as you do Q and A on it, it's basically self improving and you're getting an output for reports.", "start_time": 207.56, "end_time": 214.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 37, "text": "But what's happening, what's better shown off on here is as you're using it, it's consistently fixing the source of truth and you're bas basically human QA ing it the whole time.", "raw_text": "But what's happening, what's better shown off on here is as you're using it, it's consistently fixing the source of truth and you're bas basically human QA ing it the whole time.", "start_time": 215.32, "end_time": 225.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 38, "text": "And he has this lint method.", "raw_text": "And he has this lint method.", "start_time": 225.86, "end_time": 229.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 39, "text": "So I think that's what we're missing on a lot of our docs.", "raw_text": "So I think that's what we're missing on a lot of our docs.", "start_time": 229.38, "end_time": 231.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 40, "text": "Like when I saw to skip ahead to what I've seen with Christopher, and I know this is not the best fidelity graphic, but this was very clear to me when looking at both Christoffer's and Sam's files and honestly my own too.", "raw_text": "Like when I saw to skip ahead to what I've seen with Christopher, and I know this is not the best fidelity graphic, but this was very clear to me when looking at both Christoffer's and Sam's files and honestly my own too.", "start_time": 231.66, "end_time": 244.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 41, "text": "My own personal vault.", "raw_text": "My own personal vault.", "start_time": 244.74, "end_time": 246.02, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 42, "text": "And it's like, okay, well we're getting pretty good at creating better documents.", "raw_text": "And it's like, okay, well we're getting pretty good at creating better documents.", "start_time": 246.26, "end_time": 250.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 43, "text": "I think we're getting actually pretty good at making useful markdowns.", "raw_text": "I think we're getting actually pretty good at making useful markdowns.", "start_time": 250.34, "end_time": 253.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 44, "text": "But then how do we make sure we're using.", "raw_text": "But then how do we make sure we're using.", "start_time": 253.38, "end_time": 255.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 45, "text": "Using like similar ones or two?", "raw_text": "Using like similar ones or two?", "start_time": 255.28, "end_time": 257.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 46, "text": "Like just, just thinking about when we switched over to cloud enterprise.", "raw_text": "Like just, just thinking about when we switched over to cloud enterprise.", "start_time": 257.4, "end_time": 260.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 47, "text": "Like we all have good cloud projects, but like how do we combine and maintain them?", "raw_text": "Like we all have good cloud projects, but like how do we combine and maintain them?", "start_time": 260.2, "end_time": 263.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 48, "text": "So this like lint or heal method would be something we need to do and we kind of have that in like our data pipeline.", "raw_text": "So this like lint or heal method would be something we need to do and we kind of have that in like our data pipeline.", "start_time": 263.76, "end_time": 269.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 49, "text": "But then at like a personal or per project level, like what.", "raw_text": "But then at like a personal or per project level, like what.", "start_time": 269.6, "end_time": 273.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 50, "text": "What are we doing for that?", "raw_text": "What are we doing for that?", "start_time": 273.08, "end_time": 274.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 51, "text": "So I think that like my main lesson that I got out of this, I saw some really cool things with obsidian and like McKay's been on obsidian for a while and Obsidian's got a lot of cool stuff.", "raw_text": "So I think that like my main lesson that I got out of this, I saw some really cool things with obsidian and like McKay's been on obsidian for a while and Obsidian's got a lot of cool stuff.", "start_time": 275.28, "end_time": 284.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 52, "text": "And maybe one thing we want to do is try Obsidian at a personal level, but it doesn't really make sense at like a team or like enterprise level.", "raw_text": "And maybe one thing we want to do is try Obsidian at a personal level, but it doesn't really make sense at like a team or like enterprise level.", "start_time": 284.69, "end_time": 290.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 53, "text": "I don't think But I do think like some lessons learned.", "raw_text": "I don't think But I do think like some lessons learned.", "start_time": 290.85, "end_time": 293.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 54, "text": "Like the main one from this is that lint and heal.", "raw_text": "Like the main one from this is that lint and heal.", "start_time": 293.69, "end_time": 296.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 55, "text": "And then when we do put in projects and like use them raw, if we can have them in like a section where as we use it, it's getting better.", "raw_text": "And then when we do put in projects and like use them raw, if we can have them in like a section where as we use it, it's getting better.", "start_time": 296.29, "end_time": 303.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 56, "text": "I think this loop is the key lesson.", "raw_text": "I think this loop is the key lesson.", "start_time": 303.65, "end_time": 306.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 57, "text": "Wonder like does that lint and he'll run for like.", "raw_text": "Wonder like does that lint and he'll run for like.", "start_time": 306.37, "end_time": 309.01, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 58, "text": "So he actually.", "raw_text": "So he actually.", "start_time": 309.65, "end_time": 310.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 59, "text": "And that's where I pulled a few different instances out of this.", "raw_text": "And that's where I pulled a few different instances out of this.", "start_time": 311.97, "end_time": 315.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 60, "text": "So G tan like from Y Combinator made one.", "raw_text": "So G tan like from Y Combinator made one.", "start_time": 315.69, "end_time": 318.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 61, "text": "He's a slob cannon.", "raw_text": "He's a slob cannon.", "start_time": 318.51, "end_time": 319.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 62, "text": "His.", "raw_text": "His.", "start_time": 319.71, "end_time": 319.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 63, "text": "His website stuff's hilarious, but he's G brain.", "raw_text": "His website stuff's hilarious, but he's G brain.", "start_time": 319.99, "end_time": 324.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 64, "text": "Yeah, yeah, his G brain.", "raw_text": "Yeah, yeah, his G brain.", "start_time": 324.03, "end_time": 325.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 65, "text": "His G brain was like a version of this and he just got too much, too much stuff in there.", "raw_text": "His G brain was like a version of this and he just got too much, too much stuff in there.", "start_time": 325.31, "end_time": 328.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 66, "text": "So Carpathy said you could run it like he has it as like a cron job every day.", "raw_text": "So Carpathy said you could run it like he has it as like a cron job every day.", "start_time": 329.31, "end_time": 333.19, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 67, "text": "It just runs a lint and it tries to find connections.", "raw_text": "It just runs a lint and it tries to find connections.", "start_time": 333.19, "end_time": 335.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 68, "text": "So there's like the daily routine of like what's broken.", "raw_text": "So there's like the daily routine of like what's broken.", "start_time": 335.95, "end_time": 338.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 69, "text": "But then he also kind of subsequently runs it as he's realizing there's problems.", "raw_text": "But then he also kind of subsequently runs it as he's realizing there's problems.", "start_time": 338.75, "end_time": 342.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 70, "text": "So he's.", "raw_text": "So he's.", "start_time": 342.83, "end_time": 343.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 71, "text": "He's kind of doing like this maintain loop of like, oh, I have a question about my data.", "raw_text": "He's kind of doing like this maintain loop of like, oh, I have a question about my data.", "start_time": 343.35, "end_time": 348.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 72, "text": "And then every time I realize it's wrong or right, it's like self reinforcing.", "raw_text": "And then every time I realize it's wrong or right, it's like self reinforcing.", "start_time": 348.21, "end_time": 351.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 73, "text": "But then there's an additional cron job every day of like here seems to be like broken links.", "raw_text": "But then there's an additional cron job every day of like here seems to be like broken links.", "start_time": 351.81, "end_time": 356.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 74, "text": "And this is similar to.", "raw_text": "And this is similar to.", "start_time": 356.61, "end_time": 358.61, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 75, "text": "There's some projects and repos out there where people are talking about.", "raw_text": "There's some projects and repos out there where people are talking about.", "start_time": 359.33, "end_time": 362.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 76, "text": "We all know that, like Claude, I really personally separate conversation on the harness stuff.", "raw_text": "We all know that, like Claude, I really personally separate conversation on the harness stuff.", "start_time": 363.17, "end_time": 368.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 77, "text": "The remote Claude stuff I think is really cool with the sandboxing.", "raw_text": "The remote Claude stuff I think is really cool with the sandboxing.", "start_time": 368.65, "end_time": 371.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 78, "text": "And one of the key things there is, well, this is speeding up dev cycles really fast, but again can speed you up to a bunch of slop.", "raw_text": "And one of the key things there is, well, this is speeding up dev cycles really fast, but again can speed you up to a bunch of slop.", "start_time": 371.81, "end_time": 377.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 79, "text": "And there's like I was reading this one guy's code base.", "raw_text": "And there's like I was reading this one guy's code base.", "start_time": 377.87, "end_time": 380.11, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 80, "text": "He like ships something in six months.", "raw_text": "He like ships something in six months.", "start_time": 380.11, "end_time": 381.39, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 81, "text": "But he's got three ways to do everything and it's just a spaghetti mess.", "raw_text": "But he's got three ways to do everything and it's just a spaghetti mess.", "start_time": 381.39, "end_time": 384.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 82, "text": "But people are combating that with having either like a knowledge graph or like some type of index that you have to PR against every time.", "raw_text": "But people are combating that with having either like a knowledge graph or like some type of index that you have to PR against every time.", "start_time": 384.67, "end_time": 392.19, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 83, "text": "That explains the architecture.", "raw_text": "That explains the architecture.", "start_time": 392.349, "end_time": 394.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 84, "text": "And so similar here with like our knowledge of like we have to have some index.", "raw_text": "And so similar here with like our knowledge of like we have to have some index.", "start_time": 394.43, "end_time": 398.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 85, "text": "And it can be a knowledge graph, it can be vectors, it can just be simple markdown of like here's the hierarchy or here's the schema we're enforcing.", "raw_text": "And it can be a knowledge graph, it can be vectors, it can just be simple markdown of like here's the hierarchy or here's the schema we're enforcing.", "start_time": 399.07, "end_time": 406.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 86, "text": "Make sure every piece, every lint pass is like organized this way.", "raw_text": "Make sure every piece, every lint pass is like organized this way.", "start_time": 407.23, "end_time": 411.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 87, "text": "So I actually took this and I started making like a personal vault I was kind of doing on my own time.", "raw_text": "So I actually took this and I started making like a personal vault I was kind of doing on my own time.", "start_time": 412.09, "end_time": 416.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 88, "text": "With a bunch of other stuff.", "raw_text": "With a bunch of other stuff.", "start_time": 416.85, "end_time": 417.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 89, "text": "And I'm trying to figure out like how can I make this go.", "raw_text": "And I'm trying to figure out like how can I make this go.", "start_time": 418.09, "end_time": 420.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 90, "text": "And I want it scalable to go for like each project and I have like different components.", "raw_text": "And I want it scalable to go for like each project and I have like different components.", "start_time": 420.57, "end_time": 424.569, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 91, "text": "So I was actually like personally testing this out with like creating my own personal portfolio.", "raw_text": "So I was actually like personally testing this out with like creating my own personal portfolio.", "start_time": 424.81, "end_time": 429.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 92, "text": "Cause I wanted to make like a personal website.", "raw_text": "Cause I wanted to make like a personal website.", "start_time": 429.13, "end_time": 430.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 93, "text": "But then like how do I open each project and then like pull and reinforce that?", "raw_text": "But then like how do I open each project and then like pull and reinforce that?", "start_time": 430.89, "end_time": 434.41, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 94, "text": "So I was kind of playing around with that a little bit.", "raw_text": "So I was kind of playing around with that a little bit.", "start_time": 434.49, "end_time": 436.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 95, "text": "But back more to like the Moreland case.", "raw_text": "But back more to like the Moreland case.", "start_time": 437.05, "end_time": 438.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 96, "text": "I think it's just to chime in there on that same like using it in like the PR flow front.", "raw_text": "I think it's just to chime in there on that same like using it in like the PR flow front.", "start_time": 438.89, "end_time": 445.45, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 97, "text": "I've seen a lot of people using like the scheduled routines to just like, like doing the wit and heal like daily on repos.", "raw_text": "I've seen a lot of people using like the scheduled routines to just like, like doing the wit and heal like daily on repos.", "start_time": 445.61, "end_time": 454.41, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 98, "text": "So like find slop, look at our like wiki, make sure it's adhering to this and like, like self healing type stuff.", "raw_text": "So like find slop, look at our like wiki, make sure it's adhering to this and like, like self healing type stuff.", "start_time": 454.41, "end_time": 462.05, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 99, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 462.05, "end_time": 462.41, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 100, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 462.41, "end_time": 462.65, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 101, "text": "It's the same deal.", "raw_text": "It's the same deal.", "start_time": 462.65, "end_time": 463.37, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 102, "text": "And I think that's like key and I think that's a good spot to be like using more a. Yeah.", "raw_text": "And I think that's like key and I think that's a good spot to be like using more a. Yeah.", "start_time": 463.37, "end_time": 468.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 103, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 468.99, "end_time": 469.51, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 104, "text": "I like Peter Steinberger's process on like every time he has a PR he asks it like, what's the intent of this?", "raw_text": "I like Peter Steinberger's process on like every time he has a PR he asks it like, what's the intent of this?", "start_time": 469.59, "end_time": 475.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 105, "text": "Is it accomplishing that intent?", "raw_text": "Is it accomplishing that intent?", "start_time": 475.91, "end_time": 477.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 106, "text": "Is this the best way to do that?", "raw_text": "Is this the best way to do that?", "start_time": 478.07, "end_time": 479.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 107, "text": "If not, is it worth a refactor?", "raw_text": "If not, is it worth a refactor?", "start_time": 479.83, "end_time": 481.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 108, "text": "And he said 99% of the time it's worth the refactor because it's AI and then like finding good unit.", "raw_text": "And he said 99% of the time it's worth the refactor because it's AI and then like finding good unit.", "start_time": 481.83, "end_time": 486.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 109, "text": "And honestly a better step in this would be having some type of like tests or like user flows that you're pairing against it.", "raw_text": "And honestly a better step in this would be having some type of like tests or like user flows that you're pairing against it.", "start_time": 486.47, "end_time": 492.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 110, "text": "Some verification.", "raw_text": "Some verification.", "start_time": 492.95, "end_time": 493.99, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 111, "text": "Yeah, but that's.", "raw_text": "Yeah, but that's.", "start_time": 493.99, "end_time": 495.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 112, "text": "So that's.", "raw_text": "So that's.", "start_time": 495.43, "end_time": 496.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 113, "text": "That might be like is the juice worth the squeeze?", "raw_text": "That might be like is the juice worth the squeeze?", "start_time": 496.53, "end_time": 498.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 114, "text": "I don't think that's worth it on every project.", "raw_text": "I don't think that's worth it on every project.", "start_time": 498.13, "end_time": 499.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 115, "text": "But like say like, you know, foundation as a platform, we start spinning that out.", "raw_text": "But like say like, you know, foundation as a platform, we start spinning that out.", "start_time": 499.57, "end_time": 502.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 116, "text": "Would be.", "raw_text": "Would be.", "start_time": 502.81, "end_time": 503.25, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 117, "text": "But I do think at least somewhere just having and the Claude like architecture documents kind of do that.", "raw_text": "But I do think at least somewhere just having and the Claude like architecture documents kind of do that.", "start_time": 503.41, "end_time": 508.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 118, "text": "But it's like that is too much fluff and like managing that can be its own issue.", "raw_text": "But it's like that is too much fluff and like managing that can be its own issue.", "start_time": 508.29, "end_time": 512.689, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 119, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 512.85, "end_time": 513.29, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 120, "text": "But I would just say like the main lesson learned from this is the lint that like I don't know if we have a good applied way of doing that right now, except like us manually doing that.", "raw_text": "But I would just say like the main lesson learned from this is the lint that like I don't know if we have a good applied way of doing that right now, except like us manually doing that.", "start_time": 513.29, "end_time": 521.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 121, "text": "Like that's what we're relying on our architects to do.", "raw_text": "Like that's what we're relying on our architects to do.", "start_time": 521.89, "end_time": 523.73, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 122, "text": "But I think we could automate it more.", "raw_text": "But I think we could automate it more.", "start_time": 524.57, "end_time": 526.25, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 123, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 527.29, "end_time": 527.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 124, "text": "And I think that's probably to be honest, like the highest value we're currently providing.", "raw_text": "And I think that's probably to be honest, like the highest value we're currently providing.", "start_time": 527.65, "end_time": 531.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 125, "text": "Like as the human in the loop is probably that.", "raw_text": "Like as the human in the loop is probably that.", "start_time": 531.85, "end_time": 533.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 126, "text": "But I think we could even get help with that from AI?", "raw_text": "But I think we could even get help with that from AI?", "start_time": 533.69, "end_time": 535.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 127, "text": "Well, yeah, because you think of it's like it's just making your harness more active.", "raw_text": "Well, yeah, because you think of it's like it's just making your harness more active.", "start_time": 535.77, "end_time": 540.73, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 128, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 540.89, "end_time": 541.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 129, "text": "Like we're so used to the other.", "raw_text": "Like we're so used to the other.", "start_time": 541.37, "end_time": 544.05, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 130, "text": "Like you're actively working on it versus like we can just have these threads running every single day.", "raw_text": "Like you're actively working on it versus like we can just have these threads running every single day.", "start_time": 544.05, "end_time": 548.49, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 131, "text": "Cleaning up slop right in doc.", "raw_text": "Cleaning up slop right in doc.", "start_time": 548.49, "end_time": 550, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 132, "text": "Fixing bugs.", "raw_text": "Fixing bugs.", "start_time": 550.63, "end_time": 551.43, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 133, "text": "Like.", "raw_text": "Like.", "start_time": 551.43, "end_time": 551.75, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 134, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 551.83, "end_time": 552.19, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 135, "text": "And I think too part of that is not necessarily included in this, but I think we should start being creative with like, we're nowhere near, close to like we're paying for this enthralp.", "raw_text": "And I think too part of that is not necessarily included in this, but I think we should start being creative with like, we're nowhere near, close to like we're paying for this enthralp.", "start_time": 552.19, "end_time": 562.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 136, "text": "Like if we go on, on this anthropic enterprise license, $200 a dev, if we're not maxing out our session limits on that by queuing up a bunch of stuff, then like, why are we even paying for anything else?", "raw_text": "Like if we go on, on this anthropic enterprise license, $200 a dev, if we're not maxing out our session limits on that by queuing up a bunch of stuff, then like, why are we even paying for anything else?", "start_time": 562.35, "end_time": 571.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 137, "text": "Right.", "raw_text": "Right.", "start_time": 571.23, "end_time": 571.51, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 138, "text": "Like, that might be something we want to incorporate too.", "raw_text": "Like, that might be something we want to incorporate too.", "start_time": 571.51, "end_time": 573.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 139, "text": "Like how do we maximize the free credits they're giving?", "raw_text": "Like how do we maximize the free credits they're giving?", "start_time": 573.55, "end_time": 575.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 140, "text": "Token maxing.", "raw_text": "Token maxing.", "start_time": 575.71, "end_time": 576.59, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 141, "text": "Yeah, we need to be doing that.", "raw_text": "Yeah, we need to be doing that.", "start_time": 576.59, "end_time": 577.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 142, "text": "As much as I hate all this.", "raw_text": "As much as I hate all this.", "start_time": 578.71, "end_time": 580.15, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 143, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 580.55, "end_time": 580.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 144, "text": "Do you have.", "raw_text": "Do you have.", "start_time": 580.95, "end_time": 581.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 145, "text": "You have thoughts there yet?", "raw_text": "You have thoughts there yet?", "start_time": 582.13, "end_time": 583.09, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 146, "text": "Nope.", "raw_text": "Nope.", "start_time": 583.25, "end_time": 583.81, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 147, "text": "I mean, I would say the only thing I was wondering would be if tokens.", "raw_text": "I mean, I would say the only thing I was wondering would be if tokens.", "start_time": 584.37, "end_time": 590.93, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 148, "text": "There's a readjustment on how the market values tokens and you see a little bit of it.", "raw_text": "There's a readjustment on how the market values tokens and you see a little bit of it.", "start_time": 592.13, "end_time": 596.97, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 149, "text": "Like Opus is getting pulled out of the 20 plan and people are kind of adjusting a little bit.", "raw_text": "Like Opus is getting pulled out of the 20 plan and people are kind of adjusting a little bit.", "start_time": 596.97, "end_time": 601.97, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 150, "text": "Is the wiki architecture the right thing?", "raw_text": "Is the wiki architecture the right thing?", "start_time": 602.85, "end_time": 608.15, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 151, "text": "Because it's going to be a lot.", "raw_text": "Because it's going to be a lot.", "start_time": 608.38, "end_time": 609.58, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 152, "text": "It's grepping every single time.", "raw_text": "It's grepping every single time.", "start_time": 609.74, "end_time": 612.46, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 153, "text": "It's like it'll come full circle to like, do we need like traditional rag stuff again?", "raw_text": "It's like it'll come full circle to like, do we need like traditional rag stuff again?", "start_time": 612.46, "end_time": 616.86, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 154, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 617.02, "end_time": 617.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 155, "text": "So because like, when it.", "raw_text": "So because like, when it.", "start_time": 617.58, "end_time": 620.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 156, "text": "When it's like tokens are free, I 100 think this is the most accurate best.", "raw_text": "When it's like tokens are free, I 100 think this is the most accurate best.", "start_time": 620.54, "end_time": 624.86, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 157, "text": "Just pull context in.", "raw_text": "Just pull context in.", "start_time": 625.26, "end_time": 626.7, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 158, "text": "Search it when you need it.", "raw_text": "Search it when you need it.", "start_time": 627.1, "end_time": 628.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 159, "text": "Like, I've thought that for a long time.", "raw_text": "Like, I've thought that for a long time.", "start_time": 628.18, "end_time": 629.62, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 160, "text": "Yep.", "raw_text": "Yep.", "start_time": 629.62, "end_time": 630.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 161, "text": "But I do kind of wonder like, will there be an adjustment?", "raw_text": "But I do kind of wonder like, will there be an adjustment?", "start_time": 630.14, "end_time": 633.68, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 162, "text": "But I don't think we need to talk about it or.", "raw_text": "But I don't think we need to talk about it or.", "start_time": 634.15, "end_time": 635.87, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 163, "text": "No, actually I kind of touched on that because I agree with you.", "raw_text": "No, actually I kind of touched on that because I agree with you.", "start_time": 635.87, "end_time": 638.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 164, "text": "But I think like, I think the whole wiki architecture, like this is unnecessary, especially like per project.", "raw_text": "But I think like, I think the whole wiki architecture, like this is unnecessary, especially like per project.", "start_time": 638.07, "end_time": 643.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 165, "text": "But what part of it's like the best and that I think it's the linting and I think it's the reinforcement of every time you're using it.", "raw_text": "But what part of it's like the best and that I think it's the linting and I think it's the reinforcement of every time you're using it.", "start_time": 643.99, "end_time": 650.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 166, "text": "Like rewriting the source of truth.", "raw_text": "Like rewriting the source of truth.", "start_time": 650.23, "end_time": 651.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 167, "text": "So I think those are like the patterns I think are like key in this.", "raw_text": "So I think those are like the patterns I think are like key in this.", "start_time": 651.99, "end_time": 655.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 168, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 655.11, "end_time": 655.59, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 169, "text": "I mean even if you abstract it out of like the wiki, that pattern for like data, that would be like in a canonical layer or an ontology somewhere else.", "raw_text": "I mean even if you abstract it out of like the wiki, that pattern for like data, that would be like in a canonical layer or an ontology somewhere else.", "start_time": 655.59, "end_time": 665.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 170, "text": "Like if someone found something wrong right now in foundation we have no way other than me being in the command line.", "raw_text": "Like if someone found something wrong right now in foundation we have no way other than me being in the command line.", "start_time": 666.02, "end_time": 672.42, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 171, "text": "We have no delay to like this is wrong.", "raw_text": "We have no delay to like this is wrong.", "start_time": 673.22, "end_time": 675.46, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 172, "text": "Yeah and we need like a mechanism to fix that.", "raw_text": "Yeah and we need like a mechanism to fix that.", "start_time": 675.46, "end_time": 677.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 173, "text": "And actually like the learning resources.", "raw_text": "And actually like the learning resources.", "start_time": 677.38, "end_time": 680.02, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 174, "text": "The pipeline I'm doing for my non profit what I have right now is just flag it and then we have a triage bucket.", "raw_text": "The pipeline I'm doing for my non profit what I have right now is just flag it and then we have a triage bucket.", "start_time": 680.1, "end_time": 685.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 175, "text": "So like one thing we do is like as we roll this out say we're all using foundation.", "raw_text": "So like one thing we do is like as we roll this out say we're all using foundation.", "start_time": 685.14, "end_time": 688.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 176, "text": "Maybe the easiest thing is to just have you fix them all.", "raw_text": "Maybe the easiest thing is to just have you fix them all.", "start_time": 689.34, "end_time": 691.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 177, "text": "But just having us have like a triage bucket of just like here's all our to do's for Justin because we can't figure it out.", "raw_text": "But just having us have like a triage bucket of just like here's all our to do's for Justin because we can't figure it out.", "start_time": 691.46, "end_time": 696.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 178, "text": "That might be a good first step.", "raw_text": "That might be a good first step.", "start_time": 696.46, "end_time": 697.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 179, "text": "This was a slide kind of based on.", "raw_text": "This was a slide kind of based on.", "start_time": 701.58, "end_time": 703.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 180, "text": "So I also when I was doing this I put in like a philosophy doc which has been pretty useful and it was pretty heavily.", "raw_text": "So I also when I was doing this I put in like a philosophy doc which has been pretty useful and it was pretty heavily.", "start_time": 703.38, "end_time": 708.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 181, "text": "We've beat this one up before so I won't take too long.", "raw_text": "We've beat this one up before so I won't take too long.", "start_time": 708.54, "end_time": 710.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 182, "text": "But it was pretty heavily on that Vercel document a while ago about like skills versus prompts like in the cloud MD like passive versus active context and that still holds true.", "raw_text": "But it was pretty heavily on that Vercel document a while ago about like skills versus prompts like in the cloud MD like passive versus active context and that still holds true.", "start_time": 711.1, "end_time": 721.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 183, "text": "I looked at some more newer stuff on that and I think it's a bigger analogy for like in the wiki side of things for like context like we have to always be conscious and this is a thing we should probably roll out like company wide training on like discussions on as like a per project level of like what are you actually doing that needs to be loaded every time and then what are you doing that like you know you can explicitly call and then like what should the agent explicitly call And I actually think Anthropic's training on the MCP side where it was talking about like dev lead things with like the prompts versus like LLM LED things versus like system hard coded actions.", "raw_text": "I looked at some more newer stuff on that and I think it's a bigger analogy for like in the wiki side of things for like context like we have to always be conscious and this is a thing we should probably roll out like company wide training on like discussions on as like a per project level of like what are you actually doing that needs to be loaded every time and then what are you doing that like you know you can explicitly call and then like what should the agent explicitly call And I actually think Anthropic's training on the MCP side where it was talking about like dev lead things with like the prompts versus like LLM LED things versus like system hard coded actions.", "start_time": 721.8, "end_time": 753.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 184, "text": "They have really good reasoning on that and I think we should probably like apply some of that as well.", "raw_text": "They have really good reasoning on that and I think we should probably like apply some of that as well.", "start_time": 754.47, "end_time": 758.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 185, "text": "And so that's another one of the patterns essentially whatever we're doing I think it needs to be self linting and self improving.", "raw_text": "And so that's another one of the patterns essentially whatever we're doing I think it needs to be self linting and self improving.", "start_time": 759.19, "end_time": 765.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 186, "text": "That's like a big point.", "raw_text": "That's like a big point.", "start_time": 765.59, "end_time": 766.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 187, "text": "The next one is it has to be well considered what's passive versus what's active.", "raw_text": "The next one is it has to be well considered what's passive versus what's active.", "start_time": 766.79, "end_time": 771.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 188, "text": "And this Sam's project's pretty good with that.", "raw_text": "And this Sam's project's pretty good with that.", "start_time": 771.51, "end_time": 775.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 189, "text": "Like so Sam's got we can dig deeper into like his folder but his cowork folder is pretty well organized.", "raw_text": "Like so Sam's got we can dig deeper into like his folder but his cowork folder is pretty well organized.", "start_time": 775.63, "end_time": 781.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 190, "text": "Basically Sam had a bunch of stuff he was pulling in and then just like stopped using it so it knew not to index it like your old project files and stuff.", "raw_text": "Basically Sam had a bunch of stuff he was pulling in and then just like stopped using it so it knew not to index it like your old project files and stuff.", "start_time": 781.74, "end_time": 788.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 191, "text": "Kristoffer had way more problem with this issue because his clawed MD is like extremely long and it would start doing these scheduled tasks that completely unrelated.", "raw_text": "Kristoffer had way more problem with this issue because his clawed MD is like extremely long and it would start doing these scheduled tasks that completely unrelated.", "start_time": 789.18, "end_time": 799.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 192, "text": "So I actually gave him this research and Jared started self fixing itself.", "raw_text": "So I actually gave him this research and Jared started self fixing itself.", "start_time": 799.42, "end_time": 802.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 193, "text": "But that was like a, that was a key thing like Christopher could use as an improvement.", "raw_text": "But that was like a, that was a key thing like Christopher could use as an improvement.", "start_time": 803.24, "end_time": 806.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 194, "text": "Yeah, Sam's was already kind of better at this but it could use the linting to clean up the stuff it wasn't using more.", "raw_text": "Yeah, Sam's was already kind of better at this but it could use the linting to clean up the stuff it wasn't using more.", "start_time": 806.68, "end_time": 812.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 195, "text": "And then the sharing which I think is next.", "raw_text": "And then the sharing which I think is next.", "start_time": 812.44, "end_time": 815.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 196, "text": "And then there's another token thing too.", "raw_text": "And then there's another token thing too.", "start_time": 815.48, "end_time": 818.04, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 197, "text": "It's like in the Vercel article by the end of this is like how much do you need to index your skills inside your system prompt so that it knows to use it but then you're not like paying attach a huge tax every time because it's pended to every single message.", "raw_text": "It's like in the Vercel article by the end of this is like how much do you need to index your skills inside your system prompt so that it knows to use it but then you're not like paying attach a huge tax every time because it's pended to every single message.", "start_time": 818.04, "end_time": 836.46, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 198, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 836.62, "end_time": 837.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 199, "text": "And that's where I think it's like.", "raw_text": "And that's where I think it's like.", "start_time": 837.26, "end_time": 839.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 200, "text": "So let me think like skills such as.", "raw_text": "So let me think like skills such as.", "start_time": 839.5, "end_time": 841.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 201, "text": "And that comes to like a personal level of like where you need to index it because like I also.", "raw_text": "And that comes to like a personal level of like where you need to index it because like I also.", "start_time": 842.14, "end_time": 846.9, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 202, "text": "It depends on the users.", "raw_text": "It depends on the users.", "start_time": 846.9, "end_time": 848.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 203, "text": "This was actually a big conversation that I had with like Ray on Signet and that's why I'm kind of like the only way you guys are going to have success with this is like you need to deploy us in there because we need to talk with this.", "raw_text": "This was actually a big conversation that I had with like Ray on Signet and that's why I'm kind of like the only way you guys are going to have success with this is like you need to deploy us in there because we need to talk with this.", "start_time": 848.1, "end_time": 856.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 204, "text": "And this should be figured out like a per project team level because I think like if I one of us is really equipped and we understand say you have 15 skills and you know exactly which skills you want to use for what scenario.", "raw_text": "And this should be figured out like a per project team level because I think like if I one of us is really equipped and we understand say you have 15 skills and you know exactly which skills you want to use for what scenario.", "start_time": 857.05, "end_time": 868.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 205, "text": "You don't really need to put those in the system prompt.", "raw_text": "You don't really need to put those in the system prompt.", "start_time": 868.97, "end_time": 871.05, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 206, "text": "You could just explicitly call them and save you the context.", "raw_text": "You could just explicitly call them and save you the context.", "start_time": 871.05, "end_time": 873.61, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 207, "text": "But say I give this to someone else and they're like oh, create an arrangement letter.", "raw_text": "But say I give this to someone else and they're like oh, create an arrangement letter.", "start_time": 874.01, "end_time": 878.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 208, "text": "But we had an arrangement letter skill.", "raw_text": "But we had an arrangement letter skill.", "start_time": 878.01, "end_time": 879.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 209, "text": "Well maybe it's worth indexing in there because I know like say I hand this to like a dohr and I know he's going to be doing this.", "raw_text": "Well maybe it's worth indexing in there because I know like say I hand this to like a dohr and I know he's going to be doing this.", "start_time": 879.69, "end_time": 884.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 210, "text": "These three uses.", "raw_text": "These three uses.", "start_time": 884.33, "end_time": 885.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 211, "text": "Well I want to make sure those are indexed and so that's kind of like where it should be custom per person based off like our discretion.", "raw_text": "Well I want to make sure those are indexed and so that's kind of like where it should be custom per person based off like our discretion.", "start_time": 885.13, "end_time": 891.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 212, "text": "Yeah, I think you said in like foundation with even just like tool use like mentioned versus like I just want this to explicitly know based on what I'm saying to use the property inspection.", "raw_text": "Yeah, I think you said in like foundation with even just like tool use like mentioned versus like I just want this to explicitly know based on what I'm saying to use the property inspection.", "start_time": 893.13, "end_time": 904.25, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 213, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 904.33, "end_time": 904.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 214, "text": "Or if like you know what you're doing, you'll just tag it to make sure it uses it.", "raw_text": "Or if like you know what you're doing, you'll just tag it to make sure it uses it.", "start_time": 904.93, "end_time": 908.01, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 215, "text": "And I honestly think too like another pin for later.", "raw_text": "And I honestly think too like another pin for later.", "start_time": 908.09, "end_time": 912.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 216, "text": "But for Foundation I think we should sell people on normal software first.", "raw_text": "But for Foundation I think we should sell people on normal software first.", "start_time": 912.83, "end_time": 917.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 217, "text": "And Foundation's a good play if we want to bring them into our enterprise or an upsell.", "raw_text": "And Foundation's a good play if we want to bring them into our enterprise or an upsell.", "start_time": 917.67, "end_time": 921.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 218, "text": "But say we're doing that and we are hand holding a ren or a safeguard.", "raw_text": "But say we're doing that and we are hand holding a ren or a safeguard.", "start_time": 921.51, "end_time": 925.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 219, "text": "Well it's going to become pretty clear to us based on what use cases where we start hard coding those in.", "raw_text": "Well it's going to become pretty clear to us based on what use cases where we start hard coding those in.", "start_time": 925.989, "end_time": 931.11, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 220, "text": "And I think this is something that there's not a magic bullet for.", "raw_text": "And I think this is something that there's not a magic bullet for.", "start_time": 931.11, "end_time": 934.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 221, "text": "This is the forward deployed engineering.", "raw_text": "This is the forward deployed engineering.", "start_time": 934.59, "end_time": 935.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 222, "text": "Like this is something that they have to pay us for cycles on and I think this should probably go harder in our marketing too of like this is a solvable problem but it's not with a switch, it's with work.", "raw_text": "Like this is something that they have to pay us for cycles on and I think this should probably go harder in our marketing too of like this is a solvable problem but it's not with a switch, it's with work.", "start_time": 936.2, "end_time": 946.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 223, "text": "And like that's what you're paying us for.", "raw_text": "And like that's what you're paying us for.", "start_time": 946.24, "end_time": 947.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 224, "text": "And yeah I think this is the hand holding we should be marketing.", "raw_text": "And yeah I think this is the hand holding we should be marketing.", "start_time": 948.2, "end_time": 951, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 225, "text": "I think there's a ton of.", "raw_text": "I think there's a ton of.", "start_time": 951.08, "end_time": 953, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 226, "text": "I get very irked when I see like the MCP versus CLI skills about like context flooding and MCP's dead.", "raw_text": "I get very irked when I see like the MCP versus CLI skills about like context flooding and MCP's dead.", "start_time": 953, "end_time": 962.49, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 227, "text": "It's like they don't realize that behind the scenes.", "raw_text": "It's like they don't realize that behind the scenes.", "start_time": 962.89, "end_time": 966.05, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 228, "text": "Open claw Claude when you install a skill it's appending to your system prompt to check skills and like there's a tax that you pay that checks the skills folder every prompt.", "raw_text": "Open claw Claude when you install a skill it's appending to your system prompt to check skills and like there's a tax that you pay that checks the skills folder every prompt.", "start_time": 966.05, "end_time": 978.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 229, "text": "Yeah and like it's.", "raw_text": "Yeah and like it's.", "start_time": 979.05, "end_time": 981.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 230, "text": "Maybe it may be more efficient than the original original iteration of mcp but I saw someone do a study it was like like very well controlled and it was like equivalent like the efficacy of it was equivalent and the context usage was equivalent between a well defined like skill CLI versus MCP and like people aren't like the people trying to get clout and LinkedIn and likes.", "raw_text": "Maybe it may be more efficient than the original original iteration of mcp but I saw someone do a study it was like like very well controlled and it was like equivalent like the efficacy of it was equivalent and the context usage was equivalent between a well defined like skill CLI versus MCP and like people aren't like the people trying to get clout and LinkedIn and likes.", "start_time": 981.33, "end_time": 1009.61, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 231, "text": "It's like I don't know, it's just dumb.", "raw_text": "It's like I don't know, it's just dumb.", "start_time": 1009.61, "end_time": 1012.61, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 232, "text": "So it's like I agree very technical, nuanced thing that I think you need.", "raw_text": "So it's like I agree very technical, nuanced thing that I think you need.", "start_time": 1013.26, "end_time": 1018.7, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 233, "text": "What's nice is like when you do a harness like Claude Code or OPA Claw like it handles that stuff for you that you're not aware of.", "raw_text": "What's nice is like when you do a harness like Claude Code or OPA Claw like it handles that stuff for you that you're not aware of.", "start_time": 1020.3, "end_time": 1027.26, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 234, "text": "But it was eye opening for me in foundation chat when I made like Foundation McP like a first party and I like basically auto injected into the system prompt.", "raw_text": "But it was eye opening for me in foundation chat when I made like Foundation McP like a first party and I like basically auto injected into the system prompt.", "start_time": 1027.26, "end_time": 1038.42, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 235, "text": "Probably overkill.", "raw_text": "Probably overkill.", "start_time": 1038.42, "end_time": 1039.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 236, "text": "Like it worked as well in terms of like knowing when to use the moral MCP as like Claude.", "raw_text": "Like it worked as well in terms of like knowing when to use the moral MCP as like Claude.", "start_time": 1039.82, "end_time": 1045.82, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 237, "text": "Yeah actually I want to expand on that because I think it's actually hilarious because like we bounced back and forth at first like well mcps are sweet.", "raw_text": "Yeah actually I want to expand on that because I think it's actually hilarious because like we bounced back and forth at first like well mcps are sweet.", "start_time": 1047.1, "end_time": 1055.299, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 238, "text": "I was like mcps are stupid.", "raw_text": "I was like mcps are stupid.", "start_time": 1055.299, "end_time": 1056.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 239, "text": "But now I'm like mcps are sweet again but kind of what I've realized painfully so Infosec was such a good project because we had to talk about this every week for months to people who have like they Just didn't get it.", "raw_text": "But now I'm like mcps are sweet again but kind of what I've realized painfully so Infosec was such a good project because we had to talk about this every week for months to people who have like they Just didn't get it.", "start_time": 1056.34, "end_time": 1067.15, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 240, "text": "And it was like the amount of time I spent with, like, their developer explaining the difference between, like, a slash command and a prompt and like a skill.", "raw_text": "And it was like the amount of time I spent with, like, their developer explaining the difference between, like, a slash command and a prompt and like a skill.", "start_time": 1067.54, "end_time": 1073.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 241, "text": "They all do the same thing.", "raw_text": "They all do the same thing.", "start_time": 1074.42, "end_time": 1076.22, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 242, "text": "And essentially you're technically, you could accomplish almost every task with any one of them if you're really good at it.", "raw_text": "And essentially you're technically, you could accomplish almost every task with any one of them if you're really good at it.", "start_time": 1076.22, "end_time": 1082.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 243, "text": "And it's one of those things, like,.", "raw_text": "And it's one of those things, like,.", "start_time": 1082.7, "end_time": 1083.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 244, "text": "It's a good way to summarize it.", "raw_text": "It's a good way to summarize it.", "start_time": 1083.94, "end_time": 1085.3, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 245, "text": "We built a really cool cart of specialized tools, but if you just pick up a hammer, everything's a nail.", "raw_text": "We built a really cool cart of specialized tools, but if you just pick up a hammer, everything's a nail.", "start_time": 1085.54, "end_time": 1090.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 246, "text": "So it's like, you can accomplish these things, but you're going to save yourself a lot of time because there is such added like, MCP is an extremely useful protocol, but probably 85 to 95% of MCP should exist.", "raw_text": "So it's like, you can accomplish these things, but you're going to save yourself a lot of time because there is such added like, MCP is an extremely useful protocol, but probably 85 to 95% of MCP should exist.", "start_time": 1090.78, "end_time": 1101.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 247, "text": "Like, that's the issue.", "raw_text": "Like, that's the issue.", "start_time": 1101.99, "end_time": 1102.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 248, "text": "It's like, it's a great skill, but then you can't just apply it to everything.", "raw_text": "It's like, it's a great skill, but then you can't just apply it to everything.", "start_time": 1102.83, "end_time": 1106.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 249, "text": "And it's like every one of these things has gone through that.", "raw_text": "And it's like every one of these things has gone through that.", "start_time": 1106.67, "end_time": 1109.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 250, "text": "And like slash commands, you can make an argument that a developer who knows where your prompts and your context are stored, you would never use a slash command.", "raw_text": "And like slash commands, you can make an argument that a developer who knows where your prompts and your context are stored, you would never use a slash command.", "start_time": 1109.27, "end_time": 1116.39, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 251, "text": "But a slash command is so useful if I want to, like, initialize CLAUDE for, like, someone new onto the project.", "raw_text": "But a slash command is so useful if I want to, like, initialize CLAUDE for, like, someone new onto the project.", "start_time": 1116.39, "end_time": 1121.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 252, "text": "So, like, I'm almost starting to view slash commands as like, onboarding and like, procedures that I want to give someone to manually run where just saving markdown files I like better than custom slash commands.", "raw_text": "So, like, I'm almost starting to view slash commands as like, onboarding and like, procedures that I want to give someone to manually run where just saving markdown files I like better than custom slash commands.", "start_time": 1121.94, "end_time": 1133.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 253, "text": "When you say slash command, you mean like a skill.", "raw_text": "When you say slash command, you mean like a skill.", "start_time": 1133.74, "end_time": 1135.82, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 254, "text": "So a slash command in terms of CLAUDE is where like, like you can do like slash init or you can do like slash.", "raw_text": "So a slash command in terms of CLAUDE is where like, like you can do like slash init or you can do like slash.", "start_time": 1136.22, "end_time": 1142.02, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 255, "text": "And those are technically different than skills.", "raw_text": "And those are technically different than skills.", "start_time": 1142.02, "end_time": 1144.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 256, "text": "And so the slash command is essentially, it's literally a saved prompt.", "raw_text": "And so the slash command is essentially, it's literally a saved prompt.", "start_time": 1144.54, "end_time": 1148.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 257, "text": "So it's just a saved prompt.", "raw_text": "So it's just a saved prompt.", "start_time": 1148.56, "end_time": 1150.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 258, "text": "So you could do security review, and that's different than a security review skill because the skill can include instructions on tools, and then tools are things that can actually execute and bring in more context.", "raw_text": "So you could do security review, and that's different than a security review skill because the skill can include instructions on tools, and then tools are things that can actually execute and bring in more context.", "start_time": 1150.08, "end_time": 1161.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 259, "text": "And the LLM will never infer a slash command for you because it's not in the skills.", "raw_text": "And the LLM will never infer a slash command for you because it's not in the skills.", "start_time": 1161.16, "end_time": 1166.16, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 260, "text": "It always has to be expensive because.", "raw_text": "It always has to be expensive because.", "start_time": 1166.16, "end_time": 1167.92, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 261, "text": "When it's in the skills folder and you mention something, it's aware of what's in the skills folder.", "raw_text": "When it's in the skills folder and you mention something, it's aware of what's in the skills folder.", "start_time": 1168, "end_time": 1172.81, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 262, "text": "And it's going to put two and two most well defined.", "raw_text": "And it's going to put two and two most well defined.", "start_time": 1172.81, "end_time": 1176.09, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 263, "text": "It's going to put two and two together.", "raw_text": "It's going to put two and two together.", "start_time": 1176.09, "end_time": 1177.17, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 264, "text": "The slash command is not in its radar at all, maybe unless it's in the previous.", "raw_text": "The slash command is not in its radar at all, maybe unless it's in the previous.", "start_time": 1177.73, "end_time": 1183.57, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 265, "text": "And it's even funnier now that I've realized, because I'm switching between these different IDEs.", "raw_text": "And it's even funnier now that I've realized, because I'm switching between these different IDEs.", "start_time": 1184.77, "end_time": 1189.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 266, "text": "Because when you're in GitHub Copilot there is no difference between a slash command and a prompt because you do the hashtag, it's the same command and you're calling the same prompt.", "raw_text": "Because when you're in GitHub Copilot there is no difference between a slash command and a prompt because you do the hashtag, it's the same command and you're calling the same prompt.", "start_time": 1189.81, "end_time": 1199.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 267, "text": "Except if you want it to be a slash command you have to add to your local git so it knows.", "raw_text": "Except if you want it to be a slash command you have to add to your local git so it knows.", "start_time": 1199.5, "end_time": 1205.9, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 268, "text": "But then it's cool because if you actually make it a slash command, you can make it a pre commit hook.", "raw_text": "But then it's cool because if you actually make it a slash command, you can make it a pre commit hook.", "start_time": 1206.46, "end_time": 1211.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 269, "text": "So then before you can even commit, I can run a security scan and force you to do a build before you can commit.", "raw_text": "So then before you can even commit, I can run a security scan and force you to do a build before you can commit.", "start_time": 1211.9, "end_time": 1217.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 270, "text": "And so that's pretty cool.", "raw_text": "And so that's pretty cool.", "start_time": 1217.5, "end_time": 1218.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 271, "text": "So it's like this passive active thing in terms of what the model knows.", "raw_text": "So it's like this passive active thing in terms of what the model knows.", "start_time": 1218.66, "end_time": 1222.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 272, "text": "You can force the same workflow on your developer if you want.", "raw_text": "You can force the same workflow on your developer if you want.", "start_time": 1222.46, "end_time": 1224.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 273, "text": "So there's actually quite like that's what we discovered a lot.", "raw_text": "So there's actually quite like that's what we discovered a lot.", "start_time": 1225.67, "end_time": 1228.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 274, "text": "There's so many ways to slice it.", "raw_text": "There's so many ways to slice it.", "start_time": 1228.31, "end_time": 1229.99, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 275, "text": "And honestly it's one of those things.", "raw_text": "And honestly it's one of those things.", "start_time": 1230.07, "end_time": 1231.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 276, "text": "Just like Paul Reeser had a good analogy.", "raw_text": "Just like Paul Reeser had a good analogy.", "start_time": 1231.99, "end_time": 1234.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 277, "text": "He's like if you're choosing between Gemini or Claude or Open out, just pick one and get really good at and then you'll understand the rest.", "raw_text": "He's like if you're choosing between Gemini or Claude or Open out, just pick one and get really good at and then you'll understand the rest.", "start_time": 1234.51, "end_time": 1240.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 278, "text": "It's the same with these skills like if.", "raw_text": "It's the same with these skills like if.", "start_time": 1240.63, "end_time": 1242.39, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 279, "text": "But a lot of people haven't even dove like deep enough in the one so it's overwhelming.", "raw_text": "But a lot of people haven't even dove like deep enough in the one so it's overwhelming.", "start_time": 1242.63, "end_time": 1246.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 280, "text": "But I do, I'm coming to the stance that almost any of these things you can accomplish everything you need to just not gonna be a effective But I think clear marketing and message on that by the way, like workshops and content would probably be smart to do on our marketing side, but I do think I feel pretty confident with the understanding of that because we've just been parsing it out for the last few months.", "raw_text": "But I do, I'm coming to the stance that almost any of these things you can accomplish everything you need to just not gonna be a effective But I think clear marketing and message on that by the way, like workshops and content would probably be smart to do on our marketing side, but I do think I feel pretty confident with the understanding of that because we've just been parsing it out for the last few months.", "start_time": 1246.95, "end_time": 1264.86, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 281, "text": "But that's something I feel like should always be and like if we start doing monthly syncs and like readouts to like the team, I think that's like a key topic of like here's a good use case for a hook.", "raw_text": "But that's something I feel like should always be and like if we start doing monthly syncs and like readouts to like the team, I think that's like a key topic of like here's a good use case for a hook.", "start_time": 1265.1, "end_time": 1275.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 282, "text": "Here's a good use case of a slash command.", "raw_text": "Here's a good use case of a slash command.", "start_time": 1275.3, "end_time": 1276.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 283, "text": "Here's a good use case for MCP.", "raw_text": "Here's a good use case for MCP.", "start_time": 1276.82, "end_time": 1278.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 284, "text": "And like I think the MCP side because I for a while like Peter Levels had me like why do we ever need MCP if you can just cli it?", "raw_text": "And like I think the MCP side because I for a while like Peter Levels had me like why do we ever need MCP if you can just cli it?", "start_time": 1278.54, "end_time": 1284.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 285, "text": "But then NPM just proved how screwed you can get if you let an LLM just run your cli.", "raw_text": "But then NPM just proved how screwed you can get if you let an LLM just run your cli.", "start_time": 1284.92, "end_time": 1289.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 286, "text": "So like there's a security side of things here that MCP grace like pretty well solves.", "raw_text": "So like there's a security side of things here that MCP grace like pretty well solves.", "start_time": 1289.4, "end_time": 1294.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 287, "text": "And then there's also like the small little hacks and tricks that we do.", "raw_text": "And then there's also like the small little hacks and tricks that we do.", "start_time": 1294.6, "end_time": 1298.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 288, "text": "Which is hilarious because like I was just telling from the post that you both Sent about, like, don't let NPM install anything within seven days.", "raw_text": "Which is hilarious because like I was just telling from the post that you both Sent about, like, don't let NPM install anything within seven days.", "start_time": 1298.2, "end_time": 1305.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 289, "text": "Well, that also just solves like 99% of the problems.", "raw_text": "Well, that also just solves like 99% of the problems.", "start_time": 1305.57, "end_time": 1308.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 290, "text": "So I think there's a lot of these different little mechanisms that we're finding and we should probably have a tribal knowledge doc or post about those.", "raw_text": "So I think there's a lot of these different little mechanisms that we're finding and we should probably have a tribal knowledge doc or post about those.", "start_time": 1308.77, "end_time": 1317.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 291, "text": "But in terms of what we should build here, I think it's more important instead of thinking about, oh, this is my slash band, this is that.", "raw_text": "But in terms of what we should build here, I think it's more important instead of thinking about, oh, this is my slash band, this is that.", "start_time": 1317.57, "end_time": 1325.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 292, "text": "When I started thinking about these repos, I think it should be like, here's active things versus passive things.", "raw_text": "When I started thinking about these repos, I think it should be like, here's active things versus passive things.", "start_time": 1325.41, "end_time": 1330.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 293, "text": "And then on the active side of things there's slash commands and hooks can go in both, skills can go in both.", "raw_text": "And then on the active side of things there's slash commands and hooks can go in both, skills can go in both.", "start_time": 1330.77, "end_time": 1338.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 294, "text": "But then when you start thinking about what should always happen, so it's like instead of thinking about the tools, we should be thinking about the behavior.", "raw_text": "But then when you start thinking about what should always happen, so it's like instead of thinking about the tools, we should be thinking about the behavior.", "start_time": 1338.9, "end_time": 1345.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 295, "text": "And I think that makes it a lot more clear.", "raw_text": "And I think that makes it a lot more clear.", "start_time": 1345.62, "end_time": 1347.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 296, "text": "And I know that because Ray can understand that.", "raw_text": "And I know that because Ray can understand that.", "start_time": 1348.02, "end_time": 1350.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 297, "text": "So I think that's the side of things that's been more clear to me.", "raw_text": "So I think that's the side of things that's been more clear to me.", "start_time": 1351.38, "end_time": 1354.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 298, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1355.46, "end_time": 1355.82, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 299, "text": "What's been interesting for me on the, on the MCP side of things, like you're talking about like people were bullish and then not bullish.", "raw_text": "What's been interesting for me on the, on the MCP side of things, like you're talking about like people were bullish and then not bullish.", "start_time": 1355.82, "end_time": 1362.33, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 300, "text": "Now they're bullish again.", "raw_text": "Now they're bullish again.", "start_time": 1362.33, "end_time": 1363.29, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 301, "text": "Like I think the orchestration of using multiple MCPs has gotten a lot better in quad over time.", "raw_text": "Like I think the orchestration of using multiple MCPs has gotten a lot better in quad over time.", "start_time": 1363.61, "end_time": 1369.13, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 302, "text": "And I think you've seen that like just me trying to interact with like fireflies, linear, GitHub all together.", "raw_text": "And I think you've seen that like just me trying to interact with like fireflies, linear, GitHub all together.", "start_time": 1369.45, "end_time": 1375.29, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 303, "text": "Like, yeah, it's gotten a lot better.", "raw_text": "Like, yeah, it's gotten a lot better.", "start_time": 1375.37, "end_time": 1377.01, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 304, "text": "Then you start to see like skills are a way to help orchestrate that.", "raw_text": "Then you start to see like skills are a way to help orchestrate that.", "start_time": 1377.01, "end_time": 1380.49, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 305, "text": "Right.", "raw_text": "Right.", "start_time": 1380.73, "end_time": 1381.09, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 306, "text": "And to make it like repeatable.", "raw_text": "And to make it like repeatable.", "start_time": 1381.09, "end_time": 1382.57, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 307, "text": "But it's not.", "raw_text": "But it's not.", "start_time": 1382.81, "end_time": 1383.53, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 308, "text": "And we've talked about this prior nauseam.", "raw_text": "And we've talked about this prior nauseam.", "start_time": 1384.06, "end_time": 1386.3, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 309, "text": "It's not like completely hardened.", "raw_text": "It's not like completely hardened.", "start_time": 1386.3, "end_time": 1389.18, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 310, "text": "Like it's still better.", "raw_text": "Like it's still better.", "start_time": 1389.18, "end_time": 1390.7, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 311, "text": "Yeah, like, like you said, like I could just use the MCP and have them do it, or I could use Skills and let them do it, or I could probably just do with a prompt and figure it out.", "raw_text": "Yeah, like, like you said, like I could just use the MCP and have them do it, or I could use Skills and let them do it, or I could probably just do with a prompt and figure it out.", "start_time": 1390.94, "end_time": 1398.38, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 312, "text": "But like, why don't I do all that?", "raw_text": "But like, why don't I do all that?", "start_time": 1398.54, "end_time": 1400.58, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 313, "text": "Like the skills is gonna be the most efficient.", "raw_text": "Like the skills is gonna be the most efficient.", "start_time": 1400.58, "end_time": 1402.14, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 314, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1402.14, "end_time": 1402.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 315, "text": "But then I think there's still another layer that people are trying to figure out of like really hardening it.", "raw_text": "But then I think there's still another layer that people are trying to figure out of like really hardening it.", "start_time": 1402.46, "end_time": 1408.42, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 316, "text": "Hardening it to where it's like, like a true coded workflow.", "raw_text": "Hardening it to where it's like, like a true coded workflow.", "start_time": 1408.42, "end_time": 1411.64, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 317, "text": "It's token efficient.", "raw_text": "It's token efficient.", "start_time": 1411.64, "end_time": 1412.8, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 318, "text": "Like we figured out, right.", "raw_text": "Like we figured out, right.", "start_time": 1414, "end_time": 1416.52, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 319, "text": "Like we still need AI for like portions of it because that's where like it needs to be able to analyze photos and like make connections between data on its own.", "raw_text": "Like we still need AI for like portions of it because that's where like it needs to be able to analyze photos and like make connections between data on its own.", "start_time": 1416.52, "end_time": 1426.24, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 320, "text": "But like there's still like that piece.", "raw_text": "But like there's still like that piece.", "start_time": 1426.24, "end_time": 1428.88, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 321, "text": "And I think Hermes Agent has tried to solve some of this where it like automatically Updates and writes your skills like the linting and healing.", "raw_text": "And I think Hermes Agent has tried to solve some of this where it like automatically Updates and writes your skills like the linting and healing.", "start_time": 1428.88, "end_time": 1435.76, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 322, "text": "But it also, at least from my understanding, I haven't used it.", "raw_text": "But it also, at least from my understanding, I haven't used it.", "start_time": 1435.92, "end_time": 1439.06, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 323, "text": "But it also will just like plain write code.", "raw_text": "But it also will just like plain write code.", "start_time": 1439.62, "end_time": 1442.34, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 324, "text": "So like if you have a cron job, something you want to do daily, rather than it being a skill that it's calling daily, it's just writing the code and then it's gonna call that skill like that primitive, that last like workflow, that piece is like.", "raw_text": "So like if you have a cron job, something you want to do daily, rather than it being a skill that it's calling daily, it's just writing the code and then it's gonna call that skill like that primitive, that last like workflow, that piece is like.", "start_time": 1442.34, "end_time": 1455.22, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 325, "text": "I think that's the last piece to the puzzle.", "raw_text": "I think that's the last piece to the puzzle.", "start_time": 1455.38, "end_time": 1457.46, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 326, "text": "Yeah, I think, I think too in terms of like our go to market messaging and stuff like that, I think if we're really honest with, with ourselves, like we're not going to be able to like it's starting to split two ways.", "raw_text": "Yeah, I think, I think too in terms of like our go to market messaging and stuff like that, I think if we're really honest with, with ourselves, like we're not going to be able to like it's starting to split two ways.", "start_time": 1458.18, "end_time": 1468.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 327, "text": "Either you have to be super good at tech to overcome AI or super good with people to help them figure out how to use AI.", "raw_text": "Either you have to be super good at tech to overcome AI or super good with people to help them figure out how to use AI.", "start_time": 1468.03, "end_time": 1473.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 328, "text": "And like being honest with ourselves, we should probably go into the people route.", "raw_text": "And like being honest with ourselves, we should probably go into the people route.", "start_time": 1473.11, "end_time": 1476.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 329, "text": "And so really what we're doing is we're being paid to handhold.", "raw_text": "And so really what we're doing is we're being paid to handhold.", "start_time": 1476.87, "end_time": 1480.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 330, "text": "So it's like Justin's, you said this a bunch of times.", "raw_text": "So it's like Justin's, you said this a bunch of times.", "start_time": 1480.23, "end_time": 1482.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 331, "text": "Like we just tell people the tools on the market so like we get the credibility of telling them first.", "raw_text": "Like we just tell people the tools on the market so like we get the credibility of telling them first.", "start_time": 1482.63, "end_time": 1486.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 332, "text": "So it's like this maze that we're walking through.", "raw_text": "So it's like this maze that we're walking through.", "start_time": 1487.11, "end_time": 1489.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 333, "text": "People like that's what we're seeing, that's what we do.", "raw_text": "People like that's what we're seeing, that's what we do.", "start_time": 1489.67, "end_time": 1491.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 334, "text": "And then also we should be up front with that graphic we talked about like a year ago of like agent versus agentic workflow versus normal workflow.", "raw_text": "And then also we should be up front with that graphic we talked about like a year ago of like agent versus agentic workflow versus normal workflow.", "start_time": 1491.96, "end_time": 1499.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 335, "text": "Everyone's looking at the agent side of things and like we can sell off of agents, but what you actually want is the workflow.", "raw_text": "Everyone's looking at the agent side of things and like we can sell off of agents, but what you actually want is the workflow.", "start_time": 1499.96, "end_time": 1505.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 336, "text": "Any place you can put it.", "raw_text": "Any place you can put it.", "start_time": 1505.52, "end_time": 1506.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 337, "text": "Because anytime you can do something cheaper and more reliable, you probably should.", "raw_text": "Because anytime you can do something cheaper and more reliable, you probably should.", "start_time": 1506.68, "end_time": 1509.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 338, "text": "Yeah, that's what we're helping people figure out.", "raw_text": "Yeah, that's what we're helping people figure out.", "start_time": 1509.96, "end_time": 1512.48, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 339, "text": "And the one component of that that I didn't think was apparent when we talked through it was, that's been apparent on Safeguard is some people don't want it, some people just want it to be code and that's fine.", "raw_text": "And the one component of that that I didn't think was apparent when we talked through it was, that's been apparent on Safeguard is some people don't want it, some people just want it to be code and that's fine.", "start_time": 1512.48, "end_time": 1522.85, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 340, "text": "They have guys at it.", "raw_text": "They have guys at it.", "start_time": 1522.85, "end_time": 1523.85, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 341, "text": "But like Safeguard wanted to be able to like see it and get at it and configure it.", "raw_text": "But like Safeguard wanted to be able to like see it and get at it and configure it.", "start_time": 1523.85, "end_time": 1528.85, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 342, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1528.85, "end_time": 1529.41, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 343, "text": "Which I think is a very interesting layer on top of that whole piece.", "raw_text": "Which I think is a very interesting layer on top of that whole piece.", "start_time": 1529.41, "end_time": 1532.65, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 344, "text": "So like you're hardening it, but it's still user friendly.", "raw_text": "So like you're hardening it, but it's still user friendly.", "start_time": 1532.65, "end_time": 1535.93, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 345, "text": "Yeah, because.", "raw_text": "Yeah, because.", "start_time": 1535.93, "end_time": 1536.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 346, "text": "And then that goes to like the client side.", "raw_text": "And then that goes to like the client side.", "start_time": 1536.49, "end_time": 1538.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 347, "text": "But then here what kind of this project is on our internal side too.", "raw_text": "But then here what kind of this project is on our internal side too.", "start_time": 1538.85, "end_time": 1542.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 348, "text": "And that's where I think there can be start to be some deviation because I do think there's a I think there's a clear difference between like what Moreland needs and what we should give our clients.", "raw_text": "And that's where I think there can be start to be some deviation because I do think there's a I think there's a clear difference between like what Moreland needs and what we should give our clients.", "start_time": 1543.16, "end_time": 1550.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 349, "text": "And we can be honest about that bridge and use it as a case study.", "raw_text": "And we can be honest about that bridge and use it as a case study.", "start_time": 1550.76, "end_time": 1553.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 350, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1553.36, "end_time": 1553.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 351, "text": "And that's the other thing with foundation.", "raw_text": "And that's the other thing with foundation.", "start_time": 1553.76, "end_time": 1555.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 352, "text": "That's like, I think it's a good framework that we can use to like bring people on to our platform at some point, but it's still not one size fits all.", "raw_text": "That's like, I think it's a good framework that we can use to like bring people on to our platform at some point, but it's still not one size fits all.", "start_time": 1555.08, "end_time": 1562.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 353, "text": "There is no one size fits all.", "raw_text": "There is no one size fits all.", "start_time": 1562.44, "end_time": 1563.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 354, "text": "Like, we're still a custom software shop.", "raw_text": "Like, we're still a custom software shop.", "start_time": 1563.6, "end_time": 1565.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 355, "text": "We can lean into that better.", "raw_text": "We can lean into that better.", "start_time": 1565.8, "end_time": 1567.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 356, "text": "And I think that's advantageous for foundation.", "raw_text": "And I think that's advantageous for foundation.", "start_time": 1567.08, "end_time": 1569.73, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 357, "text": "Like as we, we've decided kind of separate infrastructure and instances.", "raw_text": "Like as we, we've decided kind of separate infrastructure and instances.", "start_time": 1569.73, "end_time": 1573.77, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 358, "text": "Like then we can tailor foundation to your business.", "raw_text": "Like then we can tailor foundation to your business.", "start_time": 1573.85, "end_time": 1576.49, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 359, "text": "Yeah, Specifically.", "raw_text": "Yeah, Specifically.", "start_time": 1576.65, "end_time": 1577.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 360, "text": "So like if there's stuff Safeguard needs us to do, like, we can just do it.", "raw_text": "So like if there's stuff Safeguard needs us to do, like, we can just do it.", "start_time": 1578.01, "end_time": 1580.97, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 361, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1583.29, "end_time": 1583.69, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 362, "text": "Anyway.", "raw_text": "Anyway.", "start_time": 1583.69, "end_time": 1584.09, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 363, "text": "But yeah, that's probably for a go to market meeting.", "raw_text": "But yeah, that's probably for a go to market meeting.", "start_time": 1584.09, "end_time": 1585.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 364, "text": "I know you're getting low.", "raw_text": "I know you're getting low.", "start_time": 1586.41, "end_time": 1587.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 365, "text": "Oh, you're all right.", "raw_text": "Oh, you're all right.", "start_time": 1588.09, "end_time": 1588.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 366, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1588.81, "end_time": 1589.05, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 367, "text": "I think it'd be interesting.", "raw_text": "I think it'd be interesting.", "start_time": 1589.05, "end_time": 1589.85, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 368, "text": "Like, you know, they have like, like skills, really made the repeatable process accessible to people.", "raw_text": "Like, you know, they have like, like skills, really made the repeatable process accessible to people.", "start_time": 1589.85, "end_time": 1594.57, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 369, "text": "It would be interesting for us to try that in foundation with our workflows, like have a create workflow skill that creates those DAG workflows that we have.", "raw_text": "It would be interesting for us to try that in foundation with our workflows, like have a create workflow skill that creates those DAG workflows that we have.", "start_time": 1597.08, "end_time": 1606.28, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 370, "text": "Like we have the AI box that.", "raw_text": "Like we have the AI box that.", "start_time": 1606.28, "end_time": 1607.88, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 371, "text": "Just came with it, but the AI.", "raw_text": "Just came with it, but the AI.", "start_time": 1607.88, "end_time": 1610.919, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 372, "text": "Box work at all.", "raw_text": "Box work at all.", "start_time": 1610.919, "end_time": 1611.88, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 373, "text": "It works okay.", "raw_text": "It works okay.", "start_time": 1612.6, "end_time": 1613.56, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 374, "text": "Like, we haven't spent any investment time investing in it, but that would be a very interesting piece to this whole thing.", "raw_text": "Like, we haven't spent any investment time investing in it, but that would be a very interesting piece to this whole thing.", "start_time": 1614.92, "end_time": 1622.89, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 375, "text": "I think the thing we're missing is making this like a three level system where what we need is the enterprise level, the personal level and the project level.", "raw_text": "I think the thing we're missing is making this like a three level system where what we need is the enterprise level, the personal level and the project level.", "start_time": 1624.17, "end_time": 1632.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 376, "text": "And they need to be able to flow back and forth.", "raw_text": "And they need to be able to flow back and forth.", "start_time": 1632.97, "end_time": 1634.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 377, "text": "And I think anthropic is training well defined that they added the plugin level below that.", "raw_text": "And I think anthropic is training well defined that they added the plugin level below that.", "start_time": 1634.81, "end_time": 1639.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 378, "text": "But I think for us, this enterprise level, company level, that's where the foundation blobs in the MCP are.", "raw_text": "But I think for us, this enterprise level, company level, that's where the foundation blobs in the MCP are.", "start_time": 1639.53, "end_time": 1646.39, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 379, "text": "So like in Sam's workflow, when he's pulling in the like linear toggle those types of things.", "raw_text": "So like in Sam's workflow, when he's pulling in the like linear toggle those types of things.", "start_time": 1646.86, "end_time": 1652.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 380, "text": "Well, that should probably live on the enterprise level and we can r back control that there.", "raw_text": "Well, that should probably live on the enterprise level and we can r back control that there.", "start_time": 1652.38, "end_time": 1655.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 381, "text": "But then Sam's actual scratch work and like building up the documents, well, that should probably be at a personal level.", "raw_text": "But then Sam's actual scratch work and like building up the documents, well, that should probably be at a personal level.", "start_time": 1655.98, "end_time": 1660.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 382, "text": "But then if he approves that or like wants to share it, that'd be at a project level.", "raw_text": "But then if he approves that or like wants to share it, that'd be at a project level.", "start_time": 1661.02, "end_time": 1665.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 383, "text": "So finding a way to get a system to work.", "raw_text": "So finding a way to get a system to work.", "start_time": 1665.58, "end_time": 1668.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 384, "text": "What do you mean project level?", "raw_text": "What do you mean project level?", "start_time": 1668.38, "end_time": 1669.66, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 385, "text": "Oh, in the repo.", "raw_text": "Oh, in the repo.", "start_time": 1669.66, "end_time": 1671.74, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 386, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1671.74, "end_time": 1672.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 387, "text": "So this is.", "raw_text": "So this is.", "start_time": 1672.1, "end_time": 1672.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 388, "text": "And I look too.", "raw_text": "And I look too.", "start_time": 1672.78, "end_time": 1673.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 389, "text": "So like a space level.", "raw_text": "So like a space level.", "start_time": 1673.82, "end_time": 1675.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 390, "text": "Yeah, exactly.", "raw_text": "Yeah, exactly.", "start_time": 1675.26, "end_time": 1676.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 391, "text": "Because a project could be like marketing.", "raw_text": "Because a project could be like marketing.", "start_time": 1677.02, "end_time": 1678.95, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 392, "text": "Yes.", "raw_text": "Yes.", "start_time": 1679.11, "end_time": 1679.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 393, "text": "Or a project could be so that.", "raw_text": "Or a project could be so that.", "start_time": 1679.51, "end_time": 1681.19, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 394, "text": "I Argued with Claude for a while about spaces versus projects versus repos and there's a few ways to slice it.", "raw_text": "I Argued with Claude for a while about spaces versus projects versus repos and there's a few ways to slice it.", "start_time": 1681.91, "end_time": 1686.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 395, "text": "And it's interesting that personal goes over project and I actually like that.", "raw_text": "And it's interesting that personal goes over project and I actually like that.", "start_time": 1686.75, "end_time": 1691.11, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 396, "text": "And I think it's agreed because I.", "raw_text": "And I think it's agreed because I.", "start_time": 1691.11, "end_time": 1692.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 397, "text": "Gotta resubmit all our skill jar stuff.", "raw_text": "Gotta resubmit all our skill jar stuff.", "start_time": 1692.67, "end_time": 1694.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 398, "text": "Yeah, Reed.", "raw_text": "Yeah, Reed.", "start_time": 1695.59, "end_time": 1696.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 399, "text": "Reed and I are good.", "raw_text": "Reed and I are good.", "start_time": 1696.55, "end_time": 1697.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 400, "text": "It was just Buzzy.", "raw_text": "It was just Buzzy.", "start_time": 1697.51, "end_time": 1698.47, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 401, "text": "I can't fault him.", "raw_text": "I can't fault him.", "start_time": 1698.95, "end_time": 1700.07, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 402, "text": "He doesn't buck up any.", "raw_text": "He doesn't buck up any.", "start_time": 1700.23, "end_time": 1701.43, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 403, "text": "But I was.", "raw_text": "But I was.", "start_time": 1705.17, "end_time": 1705.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 404, "text": "That was like the last person I would guess do that in the wrong email.", "raw_text": "That was like the last person I would guess do that in the wrong email.", "start_time": 1705.89, "end_time": 1710.37, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 405, "text": "Yeah, that's funny.", "raw_text": "Yeah, that's funny.", "start_time": 1710.37, "end_time": 1711.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 406, "text": "I was like, he's probably Reed.", "raw_text": "I was like, he's probably Reed.", "start_time": 1711.57, "end_time": 1712.81, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 407, "text": "He's the youngest.", "raw_text": "He's the youngest.", "start_time": 1712.81, "end_time": 1713.65, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 408, "text": "Reed got it.", "raw_text": "Reed got it.", "start_time": 1713.97, "end_time": 1714.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 409, "text": "I helped him set it up.", "raw_text": "I helped him set it up.", "start_time": 1714.65, "end_time": 1715.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 410, "text": "We can come back to this.", "raw_text": "We can come back to this.", "start_time": 1717.89, "end_time": 1718.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 411, "text": "I know Murphy gotta leave, but I took a shot at like what could live in foundation and how we start kind of scaffolding out and I had like a minimum schema and maybe Justin, you and I can make some process on that because we're about to talk through the data platform stuff anyways.", "raw_text": "I know Murphy gotta leave, but I took a shot at like what could live in foundation and how we start kind of scaffolding out and I had like a minimum schema and maybe Justin, you and I can make some process on that because we're about to talk through the data platform stuff anyways.", "start_time": 1718.81, "end_time": 1730.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 412, "text": "Yeah, but how I tried to approach this was just forget about foundation and think about how I could build it from scratch and then compare them.", "raw_text": "Yeah, but how I tried to approach this was just forget about foundation and think about how I could build it from scratch and then compare them.", "start_time": 1730.81, "end_time": 1737.58, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 413, "text": "So I need you for that anyways.", "raw_text": "So I need you for that anyways.", "start_time": 1737.74, "end_time": 1739.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 414, "text": "But I took a shot at because I really think it was clear to me of like, I think we know from case studies and what's going on, like how to empower a single employee.", "raw_text": "But I took a shot at because I really think it was clear to me of like, I think we know from case studies and what's going on, like how to empower a single employee.", "start_time": 1739.42, "end_time": 1747.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 415, "text": "But then how do you kind of share that?", "raw_text": "But then how do you kind of share that?", "start_time": 1747.34, "end_time": 1749.22, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 416, "text": "And like I think parts of it is where you only share part of that flow.", "raw_text": "And like I think parts of it is where you only share part of that flow.", "start_time": 1749.22, "end_time": 1752.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 417, "text": "Like I think the personal level is where like I think the most value is at this personal level level.", "raw_text": "Like I think the personal level is where like I think the most value is at this personal level level.", "start_time": 1752.34, "end_time": 1757.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 418, "text": "Like these people are getting a lot of value.", "raw_text": "Like these people are getting a lot of value.", "start_time": 1757.59, "end_time": 1759.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 419, "text": "But then part of the enterprise to personal to project sharing is just saving on token optimization and like standardizing.", "raw_text": "But then part of the enterprise to personal to project sharing is just saving on token optimization and like standardizing.", "start_time": 1759.87, "end_time": 1766.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 420, "text": "I've given this a lot of thought zooming out just from AI.", "raw_text": "I've given this a lot of thought zooming out just from AI.", "start_time": 1766.67, "end_time": 1771.31, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 421, "text": "I think this is like why the prominent, like I've been thinking like CRM, erp.", "raw_text": "I think this is like why the prominent, like I've been thinking like CRM, erp.", "start_time": 1772.11, "end_time": 1782.27, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 422, "text": "These like were never tools for doers.", "raw_text": "These like were never tools for doers.", "start_time": 1783.32, "end_time": 1785.88, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 423, "text": "They were like attacks you had to pay to like tell the rest of the company what you did.", "raw_text": "They were like attacks you had to pay to like tell the rest of the company what you did.", "start_time": 1786.36, "end_time": 1790.6, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 424, "text": "Right.", "raw_text": "Right.", "start_time": 1790.92, "end_time": 1791.32, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 425, "text": "And so like, and like, you know, the doers were using some Excel sheet or something and now AI is the newest, like best way and it's like way more powerful.", "raw_text": "And so like, and like, you know, the doers were using some Excel sheet or something and now AI is the newest, like best way and it's like way more powerful.", "start_time": 1791.96, "end_time": 1801.24, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 426, "text": "And so like I think the AI sprawl thing is interesting because like there was always doers, like there's always people doing their own own systems and like.", "raw_text": "And so like I think the AI sprawl thing is interesting because like there was always doers, like there's always people doing their own own systems and like.", "start_time": 1801.72, "end_time": 1811.11, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 427, "text": "Operating in their own way on their.", "raw_text": "Operating in their own way on their.", "start_time": 1811.11, "end_time": 1812.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 428, "text": "Computer and like being very efficient.", "raw_text": "Computer and like being very efficient.", "start_time": 1812.75, "end_time": 1814.71, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 429, "text": "And no, I don't think anyone was like overly all concerned about like sprawl.", "raw_text": "And no, I don't think anyone was like overly all concerned about like sprawl.", "start_time": 1815.35, "end_time": 1819.67, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 430, "text": "Yeah, in that way.", "raw_text": "Yeah, in that way.", "start_time": 1819.83, "end_time": 1820.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 431, "text": "But now it's like the speed of it now AI, like they can build out like full.", "raw_text": "But now it's like the speed of it now AI, like they can build out like full.", "start_time": 1820.87, "end_time": 1824.87, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 432, "text": "I was at Air Control Parts, this guy built out like this full web app and like shared it with the sales team and now all the sales teams using it and the IT people are like, what the fuck?", "raw_text": "I was at Air Control Parts, this guy built out like this full web app and like shared it with the sales team and now all the sales teams using it and the IT people are like, what the fuck?", "start_time": 1825.27, "end_time": 1835.91, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 433, "text": "Like no one even agreed that this is the right thing.", "raw_text": "Like no one even agreed that this is the right thing.", "start_time": 1836.63, "end_time": 1839.29, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 434, "text": "And like so it's like way more powerful I guess.", "raw_text": "And like so it's like way more powerful I guess.", "start_time": 1840.16, "end_time": 1842.64, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 435, "text": "I mean we have that too.", "raw_text": "I mean we have that too.", "start_time": 1842.64, "end_time": 1843.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 436, "text": "Like Christopher and Paul doing their thing.", "raw_text": "Like Christopher and Paul doing their thing.", "start_time": 1843.68, "end_time": 1845.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 437, "text": "So.", "raw_text": "So.", "start_time": 1845.16, "end_time": 1845.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 438, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1845.36, "end_time": 1845.72, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 439, "text": "Bad thing.", "raw_text": "Bad thing.", "start_time": 1845.72, "end_time": 1846.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 440, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1846.32, "end_time": 1846.64, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 441, "text": "I don't.", "raw_text": "I don't.", "start_time": 1846.64, "end_time": 1846.92, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 442, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1846.92, "end_time": 1847.12, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 443, "text": "So like, I mean, I think the ego driven companies will try to squash them.", "raw_text": "So like, I mean, I think the ego driven companies will try to squash them.", "start_time": 1847.12, "end_time": 1852.8, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 444, "text": "Like I could see Signet like squash and stuff like that.", "raw_text": "Like I could see Signet like squash and stuff like that.", "start_time": 1852.8, "end_time": 1856.32, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 445, "text": "But it's like how do you harness it in?", "raw_text": "But it's like how do you harness it in?", "start_time": 1856.32, "end_time": 1859.52, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 446, "text": "Like, I mean, I guess we're a small company, a bigger company.", "raw_text": "Like, I mean, I guess we're a small company, a bigger company.", "start_time": 1859.52, "end_time": 1864.2, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 447, "text": "Price issues, like is the data right?", "raw_text": "Price issues, like is the data right?", "start_time": 1864.2, "end_time": 1865.96, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 448, "text": "So if it's accurate and what they're doing is right, they're gonna be a good performer.", "raw_text": "So if it's accurate and what they're doing is right, they're gonna be a good performer.", "start_time": 1866.43, "end_time": 1870.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 449, "text": "If they're not, they're gonna do a bad job.", "raw_text": "If they're not, they're gonna do a bad job.", "start_time": 1870.79, "end_time": 1872.59, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 450, "text": "It's gonna come to light at some point.", "raw_text": "It's gonna come to light at some point.", "start_time": 1872.67, "end_time": 1874.67, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 451, "text": "But I think more so than that is like if it is empowering this person or this innovator in their department, how do you, I think it's more important is like how do you promote it?", "raw_text": "But I think more so than that is like if it is empowering this person or this innovator in their department, how do you, I think it's more important is like how do you promote it?", "start_time": 1874.91, "end_time": 1887.71, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 452, "text": "How do you find that and then promote it to a wider group.", "raw_text": "How do you find that and then promote it to a wider group.", "start_time": 1888.27, "end_time": 1894.28, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 453, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 1894.76, "end_time": 1895.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 454, "text": "I agree.", "raw_text": "I agree.", "start_time": 1895.48, "end_time": 1896.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 455, "text": "Because it's like how do you empower the 10x er?", "raw_text": "Because it's like how do you empower the 10x er?", "start_time": 1896.2, "end_time": 1899.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 456, "text": "Because it's like it's, we're in the era of that person being super powerful and then it's like, well, we need to give them and that's a lot like maybe seeing it can't pull it off.", "raw_text": "Because it's like it's, we're in the era of that person being super powerful and then it's like, well, we need to give them and that's a lot like maybe seeing it can't pull it off.", "start_time": 1899.04, "end_time": 1907.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 457, "text": "If they're going to pay me to go sit down with Ray and the apps AI team because that's kind of what I was telling them.", "raw_text": "If they're going to pay me to go sit down with Ray and the apps AI team because that's kind of what I was telling them.", "start_time": 1907.2, "end_time": 1912.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 458, "text": "Because I do think Ray's in the right mindset of like, I don't want to hurt the developers and we want to assume like, like good intent and like you can, you can help them because people want to do better.", "raw_text": "Because I do think Ray's in the right mindset of like, I don't want to hurt the developers and we want to assume like, like good intent and like you can, you can help them because people want to do better.", "start_time": 1912.16, "end_time": 1921.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 459, "text": "Like we've seen that with, when people are rolling out with AI, they're working more, not less.", "raw_text": "Like we've seen that with, when people are rolling out with AI, they're working more, not less.", "start_time": 1921.93, "end_time": 1926.09, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 460, "text": "Because like Carpathy had a good talk about this basically forever.", "raw_text": "Because like Carpathy had a good talk about this basically forever.", "start_time": 1926.09, "end_time": 1930.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 461, "text": "You could say that like COMPUTE was the bottleneck on our workflows.", "raw_text": "You could say that like COMPUTE was the bottleneck on our workflows.", "start_time": 1930.97, "end_time": 1933.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 462, "text": "Now we're the bottleneck in our workflows.", "raw_text": "Now we're the bottleneck in our workflows.", "start_time": 1933.85, "end_time": 1935.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 463, "text": "So it's hard to like draw the lines.", "raw_text": "So it's hard to like draw the lines.", "start_time": 1935.77, "end_time": 1937.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 464, "text": "And I think it takes strong organizational leadership in the enterprise to tell people like where enough is enough because like I struggle with that too.", "raw_text": "And I think it takes strong organizational leadership in the enterprise to tell people like where enough is enough because like I struggle with that too.", "start_time": 1937.45, "end_time": 1944.62, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 465, "text": "Like Paul sends me arrangement letter, he says like, give me comments pre clawed I would just be like, redline this red line that send it back to him.", "raw_text": "Like Paul sends me arrangement letter, he says like, give me comments pre clawed I would just be like, redline this red line that send it back to him.", "start_time": 1944.62, "end_time": 1951.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 466, "text": "But now I'm like, why wouldn't I just rewrite this whole doc for him?", "raw_text": "But now I'm like, why wouldn't I just rewrite this whole doc for him?", "start_time": 1951.42, "end_time": 1953.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 467, "text": "So then I do that.", "raw_text": "So then I do that.", "start_time": 1953.54, "end_time": 1954.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 468, "text": "But is that a pro or a con?", "raw_text": "But is that a pro or a con?", "start_time": 1954.66, "end_time": 1956.22, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 469, "text": "Because maybe he won't see my changes the same anymore.", "raw_text": "Because maybe he won't see my changes the same anymore.", "start_time": 1956.22, "end_time": 1959.299, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 470, "text": "There's two people.", "raw_text": "There's two people.", "start_time": 1959.299, "end_time": 1960.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 471, "text": "There's like, I think I said about the IKEA effect too.", "raw_text": "There's like, I think I said about the IKEA effect too.", "start_time": 1960.18, "end_time": 1964.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 472, "text": "I think there's like, there's stuff that works really good for Sam because he is like, innately he made works exactly the way he wants it.", "raw_text": "I think there's like, there's stuff that works really good for Sam because he is like, innately he made works exactly the way he wants it.", "start_time": 1964.54, "end_time": 1974.94, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 473, "text": "He knows the shortcomings of it.", "raw_text": "He knows the shortcomings of it.", "start_time": 1974.94, "end_time": 1977.26, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 474, "text": "He knows the warts on it and he's comfortable there.", "raw_text": "He knows the warts on it and he's comfortable there.", "start_time": 1977.26, "end_time": 1981.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 475, "text": "If I gave him.", "raw_text": "If I gave him.", "start_time": 1981.5, "end_time": 1982.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 476, "text": "If I gave him like the exact same thing, I just dropped it to him, like, I don't think it's going to work the same way for him.", "raw_text": "If I gave him like the exact same thing, I just dropped it to him, like, I don't think it's going to work the same way for him.", "start_time": 1982.38, "end_time": 1989.98, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 477, "text": "Yeah, because you got the ownership.", "raw_text": "Yeah, because you got the ownership.", "start_time": 1990.94, "end_time": 1992.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 478, "text": "You said that you're going to take some time to orient yourself to it and then you're still gonna back your mind.", "raw_text": "You said that you're going to take some time to orient yourself to it and then you're still gonna back your mind.", "start_time": 1992.46, "end_time": 1998.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 479, "text": "Like, did Justin think through this the same way I would think through it?", "raw_text": "Like, did Justin think through this the same way I would think through it?", "start_time": 1998.89, "end_time": 2002.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 480, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2002.33, "end_time": 2002.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 481, "text": "So I think there is like that personal layer.", "raw_text": "So I think there is like that personal layer.", "start_time": 2002.77, "end_time": 2004.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 482, "text": "I don't think.", "raw_text": "I don't think.", "start_time": 2004.89, "end_time": 2005.41, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 483, "text": "I think there is a good spot for that.", "raw_text": "I think there is a good spot for that.", "start_time": 2005.41, "end_time": 2007.05, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 484, "text": "That's like people should have their own systems.", "raw_text": "That's like people should have their own systems.", "start_time": 2007.05, "end_time": 2009.65, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 485, "text": "But there's like, I. I only think 10% of the organization thinks that way.", "raw_text": "But there's like, I. I only think 10% of the organization thinks that way.", "start_time": 2009.65, "end_time": 2014.57, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 486, "text": "The other 90%, people will just want to like, clock in, clock out.", "raw_text": "The other 90%, people will just want to like, clock in, clock out.", "start_time": 2014.57, "end_time": 2018.17, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 487, "text": "Right.", "raw_text": "Right.", "start_time": 2018.17, "end_time": 2018.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 488, "text": "I want a tool.", "raw_text": "I want a tool.", "start_time": 2018.57, "end_time": 2019.37, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 489, "text": "Give me what.", "raw_text": "Give me what.", "start_time": 2019.53, "end_time": 2020.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 490, "text": "Yeah, Sam, give me what you think works best and just tell me how to use it.", "raw_text": "Yeah, Sam, give me what you think works best and just tell me how to use it.", "start_time": 2020.41, "end_time": 2023.88, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 491, "text": "So, like, there's a balance there.", "raw_text": "So, like, there's a balance there.", "start_time": 2025.07, "end_time": 2026.43, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 492, "text": "I agree.", "raw_text": "I agree.", "start_time": 2026.59, "end_time": 2027.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 493, "text": "Quite figured out.", "raw_text": "Quite figured out.", "start_time": 2027.31, "end_time": 2028.15, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 494, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2028.15, "end_time": 2028.51, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 495, "text": "It's.", "raw_text": "It's.", "start_time": 2028.51, "end_time": 2028.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 496, "text": "People don't recognize that they can use this to help them do their job the way they want to do it.", "raw_text": "People don't recognize that they can use this to help them do their job the way they want to do it.", "start_time": 2029.63, "end_time": 2036.23, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 497, "text": "So, like the way I use this and leverage it is to overcome the things I don't like doing and don't.", "raw_text": "So, like the way I use this and leverage it is to overcome the things I don't like doing and don't.", "start_time": 2036.23, "end_time": 2043.19, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 498, "text": "Do well and quickly.", "raw_text": "Do well and quickly.", "start_time": 2043.19, "end_time": 2044.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 499, "text": "Whereas someone else might do those things really well, but not do the other things that I do.", "raw_text": "Whereas someone else might do those things really well, but not do the other things that I do.", "start_time": 2044.75, "end_time": 2049.23, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 500, "text": "So they would want it structured completely different, right?", "raw_text": "So they would want it structured completely different, right?", "start_time": 2051.72, "end_time": 2054.68, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 501, "text": "Yeah, I think, I mean, that's the thing too.", "raw_text": "Yeah, I think, I mean, that's the thing too.", "start_time": 2055.16, "end_time": 2057.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 502, "text": "We should talk to people more about too.", "raw_text": "We should talk to people more about too.", "start_time": 2057.08, "end_time": 2058.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 503, "text": "It's like you want AI to fold your laundry so you can do your art, not do your art.", "raw_text": "It's like you want AI to fold your laundry so you can do your art, not do your art.", "start_time": 2058.52, "end_time": 2061.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 504, "text": "So you're stuck doing laundry.", "raw_text": "So you're stuck doing laundry.", "start_time": 2061.8, "end_time": 2063.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 505, "text": "And it's like the classic adage is still true, but sometimes it's like, it's hard to figure out when you're just kind of throwing stuff at a wall, like what sticks.", "raw_text": "And it's like the classic adage is still true, but sometimes it's like, it's hard to figure out when you're just kind of throwing stuff at a wall, like what sticks.", "start_time": 2063.04, "end_time": 2070.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 506, "text": "And also people are more prone to test the things that they're good at.", "raw_text": "And also people are more prone to test the things that they're good at.", "start_time": 2070.44, "end_time": 2074.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 507, "text": "So then you start automating that away.", "raw_text": "So then you start automating that away.", "start_time": 2074.44, "end_time": 2076.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 508, "text": "But really like AI, it's like starting to catch up but it's really good at everything.", "raw_text": "But really like AI, it's like starting to catch up but it's really good at everything.", "start_time": 2076.42, "end_time": 2082.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 509, "text": "So if you could get it to automate all the things you're not good at and then help you like you focus on the things that you are like that empowers the individual.", "raw_text": "So if you could get it to automate all the things you're not good at and then help you like you focus on the things that you are like that empowers the individual.", "start_time": 2082.5, "end_time": 2088.9, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 510, "text": "That's why the generalist is doing so good.", "raw_text": "That's why the generalist is doing so good.", "start_time": 2088.9, "end_time": 2090.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 511, "text": "But we could take a second and step back to like what Sam built.", "raw_text": "But we could take a second and step back to like what Sam built.", "start_time": 2091.06, "end_time": 2095.22, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 512, "text": "But Justin, your point on the personal, that's where I'm starting to think that like when I think we should talk through this with Sa Sam's example like where this fits in.", "raw_text": "But Justin, your point on the personal, that's where I'm starting to think that like when I think we should talk through this with Sa Sam's example like where this fits in.", "start_time": 2095.22, "end_time": 2103.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 513, "text": "But I agree with you the power here and I think that's, that's what I've come to realize with foundation of like the biggest power of foundation isn't the foundation layer, but it's what the foundation layer and like the sharing enables you to do at the personal layer for like those people.", "raw_text": "But I agree with you the power here and I think that's, that's what I've come to realize with foundation of like the biggest power of foundation isn't the foundation layer, but it's what the foundation layer and like the sharing enables you to do at the personal layer for like those people.", "start_time": 2103.88, "end_time": 2119, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 514, "text": "And so that's where like a project document because part of this is that that training kind of change management because these are newer workflows.", "raw_text": "And so that's where like a project document because part of this is that that training kind of change management because these are newer workflows.", "start_time": 2119.24, "end_time": 2126.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 515, "text": "But like at a project level if like say we have a repo and then there's like the doc folder, you know, all our new devs, say I go grab three guys in the garage and like here's the SOPs, here's how you should follow it.", "raw_text": "But like at a project level if like say we have a repo and then there's like the doc folder, you know, all our new devs, say I go grab three guys in the garage and like here's the SOPs, here's how you should follow it.", "start_time": 2126.92, "end_time": 2136.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 516, "text": "You're all on the same task now.", "raw_text": "You're all on the same task now.", "start_time": 2136.56, "end_time": 2138.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 517, "text": "You can elevate to that your personal level.", "raw_text": "You can elevate to that your personal level.", "start_time": 2138.08, "end_time": 2139.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 518, "text": "Because like working with Ethan on a roost has been good because I would do things a little differently than Ethan would.", "raw_text": "Because like working with Ethan on a roost has been good because I would do things a little differently than Ethan would.", "start_time": 2139.76, "end_time": 2146.12, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 519, "text": "But Ethan's doing a really good job.", "raw_text": "But Ethan's doing a really good job.", "start_time": 2146.12, "end_time": 2147.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 520, "text": "So he can control his personal level.", "raw_text": "So he can control his personal level.", "start_time": 2147.64, "end_time": 2149.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 521, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2149.24, "end_time": 2149.68, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 522, "text": "And then as he's pushing things up that we bring back to the client like okay, I agree with you at the enterprise level like this is what we built them.", "raw_text": "And then as he's pushing things up that we bring back to the client like okay, I agree with you at the enterprise level like this is what we built them.", "start_time": 2149.68, "end_time": 2156.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 523, "text": "So like I helped him set up the project level.", "raw_text": "So like I helped him set up the project level.", "start_time": 2156.09, "end_time": 2158.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 524, "text": "He fully autonomously controls his personal level and his flow and then we work together on what makes sense at the enterprise.", "raw_text": "He fully autonomously controls his personal level and his flow and then we work together on what makes sense at the enterprise.", "start_time": 2158.41, "end_time": 2164.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 525, "text": "So I think that's kind of a flow of like agreed upon structure, this middle layer where you have some freedom on Rails and then the agreed upon merging back into the enterprise layer where and then that's kind of the reinforcement in the future of well once there is that agreement on the enterprise layer that trumps because everyone's pointing at it and same with our data organization, like once we agree as a company what is revenue, what is a project, what is a client?", "raw_text": "So I think that's kind of a flow of like agreed upon structure, this middle layer where you have some freedom on Rails and then the agreed upon merging back into the enterprise layer where and then that's kind of the reinforcement in the future of well once there is that agreement on the enterprise layer that trumps because everyone's pointing at it and same with our data organization, like once we agree as a company what is revenue, what is a project, what is a client?", "start_time": 2164.49, "end_time": 2187.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 526, "text": "Well we all have to use that or it's not going to work.", "raw_text": "Well we all have to use that or it's not going to work.", "start_time": 2187.96, "end_time": 2189.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 527, "text": "So that's kind of the back and forth.", "raw_text": "So that's kind of the back and forth.", "start_time": 2190.24, "end_time": 2192.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 528, "text": "But for like what Sam already built, he's got this scheduled 8am ingest and I know that like I have one of these and like Dohar was telling me, he's like, he uses cloud prompt and it worked really good yesterday but not good today.", "raw_text": "But for like what Sam already built, he's got this scheduled 8am ingest and I know that like I have one of these and like Dohar was telling me, he's like, he uses cloud prompt and it worked really good yesterday but not good today.", "start_time": 2192.72, "end_time": 2203.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 529, "text": "But like in terms of like overall token budget right now it's not that bad because we each get so many cowork tasks and routine tasks.", "raw_text": "But like in terms of like overall token budget right now it's not that bad because we each get so many cowork tasks and routine tasks.", "start_time": 2203.92, "end_time": 2211.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 530, "text": "But we both know that she's gonna drop eventually on that.", "raw_text": "But we both know that she's gonna drop eventually on that.", "start_time": 2211.18, "end_time": 2213.58, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 531, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2213.58, "end_time": 2214.02, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 532, "text": "So it would make sense that we start pushing that up to an enterprise level.", "raw_text": "So it would make sense that we start pushing that up to an enterprise level.", "start_time": 2214.02, "end_time": 2217.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 533, "text": "Like once we find what a good ingest is or like where your relevant documents are, well then we should all point at the same place.", "raw_text": "Like once we find what a good ingest is or like where your relevant documents are, well then we should all point at the same place.", "start_time": 2217.34, "end_time": 2223.58, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 534, "text": "So I think that's something that we should elevate up.", "raw_text": "So I think that's something that we should elevate up.", "start_time": 2223.82, "end_time": 2225.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 535, "text": "Yeah, but the per clogic per client markdown files, that's another one because I've been thinking too of like so for our group we all have our own foundation project.", "raw_text": "Yeah, but the per clogic per client markdown files, that's another one because I've been thinking too of like so for our group we all have our own foundation project.", "start_time": 2226.06, "end_time": 2235.22, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 536, "text": "Well I think there should be a shared space like we have in our slack of like here's certain things we clearly agree on but we also know so many things that aren't agreed on that like I think it's actually good we have personal deviation.", "raw_text": "Well I think there should be a shared space like we have in our slack of like here's certain things we clearly agree on but we also know so many things that aren't agreed on that like I think it's actually good we have personal deviation.", "start_time": 2235.46, "end_time": 2245.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 537, "text": "So I think the markdown files really split all three.", "raw_text": "So I think the markdown files really split all three.", "start_time": 2245.38, "end_time": 2247.86, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 538, "text": "So I think there's stuff that like we should agree on and then there's like working spaces and then Sam actually does the self improving prompts you kind of had in your cloud cowork like you had mentioned and you called out to me that like every time it doesn't do something I don't want, I say like do this in the future and you append it to your document.", "raw_text": "So I think there's stuff that like we should agree on and then there's like working spaces and then Sam actually does the self improving prompts you kind of had in your cloud cowork like you had mentioned and you called out to me that like every time it doesn't do something I don't want, I say like do this in the future and you append it to your document.", "start_time": 2248.1, "end_time": 2262.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 539, "text": "So that's kind of a good like first version of that self linting and self healing.", "raw_text": "So that's kind of a good like first version of that self linting and self healing.", "start_time": 2263.07, "end_time": 2267.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 540, "text": "And then that's something that probably needs to exist at all three levels.", "raw_text": "And then that's something that probably needs to exist at all three levels.", "start_time": 2267.23, "end_time": 2270.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 541, "text": "So there probably needs to be for and that might be more in terms of like a behavior mechanism than code.", "raw_text": "So there probably needs to be for and that might be more in terms of like a behavior mechanism than code.", "start_time": 2271.07, "end_time": 2276.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 542, "text": "So for instance, if I'm on a team, five of us are working in this repo and we're all referencing one doc and there's some examples I in the app mod discovery phase I've seen some of their discovery repos.", "raw_text": "So for instance, if I'm on a team, five of us are working in this repo and we're all referencing one doc and there's some examples I in the app mod discovery phase I've seen some of their discovery repos.", "start_time": 2276.91, "end_time": 2287.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 543, "text": "Like one of the developers had 25 documents and none of them were a good source of truth.", "raw_text": "Like one of the developers had 25 documents and none of them were a good source of truth.", "start_time": 2287.93, "end_time": 2293.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 544, "text": "We shouldn't be allowing that to happen because everyone on the team was confused about that.", "raw_text": "We shouldn't be allowing that to happen because everyone on the team was confused about that.", "start_time": 2294.29, "end_time": 2297.73, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 545, "text": "So I know there's different projects where we've seen that not work but it's like, okay then here's where your documentation should be and it's like, I don't even know if a markdown rubric would help there.", "raw_text": "So I know there's different projects where we've seen that not work but it's like, okay then here's where your documentation should be and it's like, I don't even know if a markdown rubric would help there.", "start_time": 2297.81, "end_time": 2306.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 546, "text": "It's more so just like, hey, every time you're doing a version release or every time you actually do your print, you're responsible for taking all your scratch work and getting it into one markdown.", "raw_text": "It's more so just like, hey, every time you're doing a version release or every time you actually do your print, you're responsible for taking all your scratch work and getting it into one markdown.", "start_time": 2306.69, "end_time": 2315.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 547, "text": "And I think we've done a reasonable job with that on the foundation team, like reasonably well with our Docs folder.", "raw_text": "And I think we've done a reasonable job with that on the foundation team, like reasonably well with our Docs folder.", "start_time": 2315.78, "end_time": 2322.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 548, "text": "So like maybe we push that there, but I know they're out of date too.", "raw_text": "So like maybe we push that there, but I know they're out of date too.", "start_time": 2322.22, "end_time": 2324.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 549, "text": "So you go under Docs folder and it's like months and months ago.", "raw_text": "So you go under Docs folder and it's like months and months ago.", "start_time": 2324.7, "end_time": 2327.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 550, "text": "But that's probably the best example we have other than some small projects that are like quick.", "raw_text": "But that's probably the best example we have other than some small projects that are like quick.", "start_time": 2327.979, "end_time": 2332.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 551, "text": "So there's improvement there at a project level, personal level, that's going to be a tougher one to enforce.", "raw_text": "So there's improvement there at a project level, personal level, that's going to be a tougher one to enforce.", "start_time": 2332.78, "end_time": 2337.9, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 552, "text": "But.", "raw_text": "But.", "start_time": 2337.9, "end_time": 2338.07, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 553, "text": "But that might be on them.", "raw_text": "But that might be on them.", "start_time": 2338.14, "end_time": 2339.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 554, "text": "And then enterprise level, we could be running some type of task and checking those.", "raw_text": "And then enterprise level, we could be running some type of task and checking those.", "start_time": 2339.06, "end_time": 2343.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 555, "text": "And then I did like what Sam had too.", "raw_text": "And then I did like what Sam had too.", "start_time": 2343.82, "end_time": 2345.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 556, "text": "If he just.", "raw_text": "If he just.", "start_time": 2345.98, "end_time": 2346.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 557, "text": "He put his whole folder on OneDrive so he can use multiple devices.", "raw_text": "He put his whole folder on OneDrive so he can use multiple devices.", "start_time": 2346.66, "end_time": 2350.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 558, "text": "So that's one.", "raw_text": "So that's one.", "start_time": 2351.1, "end_time": 2351.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 559, "text": "You know, if we go the SharePoint route, which we may have to with our partner side of things, like having a SharePoint spot to point at them.", "raw_text": "You know, if we go the SharePoint route, which we may have to with our partner side of things, like having a SharePoint spot to point at them.", "start_time": 2351.82, "end_time": 2359.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 560, "text": "But I mean programmatically we should probably do this with some type of blob storage.", "raw_text": "But I mean programmatically we should probably do this with some type of blob storage.", "start_time": 2359.58, "end_time": 2363.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 561, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2363.18, "end_time": 2363.6, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 562, "text": "You feel like I missed any features that you had in your.", "raw_text": "You feel like I missed any features that you had in your.", "start_time": 2368.23, "end_time": 2370.15, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 563, "text": "In your setup?", "raw_text": "In your setup?", "start_time": 2370.15, "end_time": 2370.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 564, "text": "I feel like it boiled.", "raw_text": "I feel like it boiled.", "start_time": 2370.83, "end_time": 2371.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 565, "text": "Like these are the four things I took away from what you had going.", "raw_text": "Like these are the four things I took away from what you had going.", "start_time": 2371.83, "end_time": 2374.15, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 566, "text": "Yeah, no, that's.", "raw_text": "Yeah, no, that's.", "start_time": 2375.43, "end_time": 2376.23, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 567, "text": "That's kind of it.", "raw_text": "That's kind of it.", "start_time": 2376.23, "end_time": 2377.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 568, "text": "I found.", "raw_text": "I found.", "start_time": 2377.51, "end_time": 2378.63, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 569, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 2378.63, "end_time": 2379.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 570, "text": "I found honestly that this is probably bad from what you're talking about earlier that skills tends to be way less useful, at least for me.", "raw_text": "I found honestly that this is probably bad from what you're talking about earlier that skills tends to be way less useful, at least for me.", "start_time": 2379.509, "end_time": 2389.13, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 571, "text": "What I do.", "raw_text": "What I do.", "start_time": 2389.36, "end_time": 2389.92, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 572, "text": "Because it a lot of times doesn't use them because I'm not explicitly referencing them, which is on me.", "raw_text": "Because it a lot of times doesn't use them because I'm not explicitly referencing them, which is on me.", "start_time": 2390.8, "end_time": 2397.84, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 573, "text": "But then also when things go wrong, it doesn't always update the skill.", "raw_text": "But then also when things go wrong, it doesn't always update the skill.", "start_time": 2397.84, "end_time": 2402.96, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 574, "text": "So a lot of times it's a lot easier to just tell it to write the context for what I want out into a markdown file and tell it to always use that.", "raw_text": "So a lot of times it's a lot easier to just tell it to write the context for what I want out into a markdown file and tell it to always use that.", "start_time": 2404.8, "end_time": 2411.92, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 575, "text": "If I ask for this.", "raw_text": "If I ask for this.", "start_time": 2411.92, "end_time": 2412.96, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 576, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2413.04, "end_time": 2413.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 577, "text": "And then it.", "raw_text": "And then it.", "start_time": 2413.92, "end_time": 2414.66, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 578, "text": "It's more accurate.", "raw_text": "It's more accurate.", "start_time": 2414.89, "end_time": 2415.69, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 579, "text": "I actually agree like a lot.", "raw_text": "I actually agree like a lot.", "start_time": 2415.93, "end_time": 2418.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 580, "text": "I personally, every time that's a point I forgot to bring up earlier.", "raw_text": "I personally, every time that's a point I forgot to bring up earlier.", "start_time": 2418.17, "end_time": 2422.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 581, "text": "The connection to 2:1 is I agree with you that I like if anyone asks what I do, it's just professional markdown management because at the end of the day that's going to give you the best results if you know what you're doing.", "raw_text": "The connection to 2:1 is I agree with you that I like if anyone asks what I do, it's just professional markdown management because at the end of the day that's going to give you the best results if you know what you're doing.", "start_time": 2423.05, "end_time": 2432.73, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 582, "text": "You know well it's always going to be better for you.", "raw_text": "You know well it's always going to be better for you.", "start_time": 2432.73, "end_time": 2435.61, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 583, "text": "Deciding the right choice every time, letting a system maybe get it right.", "raw_text": "Deciding the right choice every time, letting a system maybe get it right.", "start_time": 2436.09, "end_time": 2439.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 584, "text": "So that's just like essentially a law of nature.", "raw_text": "So that's just like essentially a law of nature.", "start_time": 2440.09, "end_time": 2442.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 585, "text": "I think I agree with that.", "raw_text": "I think I agree with that.", "start_time": 2442.79, "end_time": 2444.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 586, "text": "And then the key is how can you put those skills in?", "raw_text": "And then the key is how can you put those skills in?", "start_time": 2444.23, "end_time": 2446.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 587, "text": "If you start sharing it, it becomes important because if me or Justin try to use your workflow, we don't know it as well as you.", "raw_text": "If you start sharing it, it becomes important because if me or Justin try to use your workflow, we don't know it as well as you.", "start_time": 2446.71, "end_time": 2452.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 588, "text": "So then that's kind of like the shared level.", "raw_text": "So then that's kind of like the shared level.", "start_time": 2453.11, "end_time": 2454.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 589, "text": "But at the personal level I think that works better.", "raw_text": "But at the personal level I think that works better.", "start_time": 2454.79, "end_time": 2457.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 590, "text": "And that's one of those things of like I've been trying to help the other devs see some of the speed ups that I've had and that's where like there's no replacement for it.", "raw_text": "And that's one of those things of like I've been trying to help the other devs see some of the speed ups that I've had and that's where like there's no replacement for it.", "start_time": 2457.35, "end_time": 2464.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 591, "text": "That's why Signet can't just take the playbook and do what we do because you have to kind of know how to reference that.", "raw_text": "That's why Signet can't just take the playbook and do what we do because you have to kind of know how to reference that.", "start_time": 2464.91, "end_time": 2470.19, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 592, "text": "Maybe from the next couple models they start figuring that out.", "raw_text": "Maybe from the next couple models they start figuring that out.", "start_time": 2470.67, "end_time": 2473.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 593, "text": "That's my other point.", "raw_text": "That's my other point.", "start_time": 2473.79, "end_time": 2474.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 594, "text": "We talked about this with Infosec a lot too.", "raw_text": "We talked about this with Infosec a lot too.", "start_time": 2474.83, "end_time": 2476.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 595, "text": "Of like it's kind of interesting because every time there's like these new generation of models, all of the prior tools and scaffolding events essentially you built out, you're better off throwing it away and taking lessons learned, starting over every time.", "raw_text": "Of like it's kind of interesting because every time there's like these new generation of models, all of the prior tools and scaffolding events essentially you built out, you're better off throwing it away and taking lessons learned, starting over every time.", "start_time": 2476.83, "end_time": 2488.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 596, "text": "Because like on a whole two years ago the whole prompt engineering was how can I fit a whole novel telling exactly what I wanted to do into this context window.", "raw_text": "Because like on a whole two years ago the whole prompt engineering was how can I fit a whole novel telling exactly what I wanted to do into this context window.", "start_time": 2488.91, "end_time": 2496.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 597, "text": "But now it's how can I tell it the least amount of information?", "raw_text": "But now it's how can I tell it the least amount of information?", "start_time": 2496.28, "end_time": 2498.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 598, "text": "Because it's smarter than I am.", "raw_text": "Because it's smarter than I am.", "start_time": 2498.64, "end_time": 2500.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 599, "text": "So I feel like that's changed and that's a key thing too of how can we build these that we don't want to over build on that level because we'll probably throw it out when Mythos drops or something like that.", "raw_text": "So I feel like that's changed and that's a key thing too of how can we build these that we don't want to over build on that level because we'll probably throw it out when Mythos drops or something like that.", "start_time": 2500.64, "end_time": 2512.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 600, "text": "So that's like an architecture thing to think about.", "raw_text": "So that's like an architecture thing to think about.", "start_time": 2513.28, "end_time": 2515.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 601, "text": "I did like some of the stuff Kristoffer had in there.", "raw_text": "I did like some of the stuff Kristoffer had in there.", "start_time": 2517.44, "end_time": 2520.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 602, "text": "Specifically one of the his self awareness on the Repla air gap thing is probably my favorite from the meeting actually two things.", "raw_text": "Specifically one of the his self awareness on the Repla air gap thing is probably my favorite from the meeting actually two things.", "start_time": 2520.81, "end_time": 2527.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 603, "text": "First of all, I think I saw the best computer use use case I've ever seen of him having his bot open on LinkedIn all the time so he could like scrape through that and he kind of like got around their terms of use so I thought that was really cool.", "raw_text": "First of all, I think I saw the best computer use use case I've ever seen of him having his bot open on LinkedIn all the time so he could like scrape through that and he kind of like got around their terms of use so I thought that was really cool.", "start_time": 2527.53, "end_time": 2538.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 604, "text": "But what he does is when he's working with HubSpot so he has like he builds this replit server.", "raw_text": "But what he does is when he's working with HubSpot so he has like he builds this replit server.", "start_time": 2538.25, "end_time": 2545.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 605, "text": "He loves Replit so much but he uses his replit server and essentially it's read only from HubSpot but then his open claw points at that replit server and like a read to write.", "raw_text": "He loves Replit so much but he uses his replit server and essentially it's read only from HubSpot but then his open claw points at that replit server and like a read to write.", "start_time": 2547.33, "end_time": 2559.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 606, "text": "So that way he knows he doesn't know what he's doing to the point he won't point at HubSpot because he doesn't want to mess it up.", "raw_text": "So that way he knows he doesn't know what he's doing to the point he won't point at HubSpot because he doesn't want to mess it up.", "start_time": 2559.57, "end_time": 2563.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 607, "text": "But he has this middle layer that's kind of like an air gap.", "raw_text": "But he has this middle layer that's kind of like an air gap.", "start_time": 2564.05, "end_time": 2566.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 608, "text": "So he can't mess up the HubSpot and it's actually like really smart and it works pretty well.", "raw_text": "So he can't mess up the HubSpot and it's actually like really smart and it works pretty well.", "start_time": 2566.65, "end_time": 2571.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 609, "text": "So sometimes it's like where are we adding in this like middle layer where.", "raw_text": "So sometimes it's like where are we adding in this like middle layer where.", "start_time": 2571.25, "end_time": 2574.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 610, "text": "There can be like the foundation as a MCP for a lot of data sources.", "raw_text": "There can be like the foundation as a MCP for a lot of data sources.", "start_time": 2574.4, "end_time": 2578.92, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 611, "text": "For most people.", "raw_text": "For most people.", "start_time": 2578.92, "end_time": 2579.92, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 612, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 2580.08, "end_time": 2580.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 613, "text": "So maybe that's like something we start spinning up in foundation of like it's not.", "raw_text": "So maybe that's like something we start spinning up in foundation of like it's not.", "start_time": 2580.64, "end_time": 2584.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 614, "text": "It's this middle layer between your source of truth because that's what foundation is and that's where we start defining like those, those gold tiers.", "raw_text": "It's this middle layer between your source of truth because that's what foundation is and that's where we start defining like those, those gold tiers.", "start_time": 2584.24, "end_time": 2590.439, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 615, "text": "But it was funny that Christopher was doing like, okay, maybe that is the value of like the data platform of having this like middle, middle layer.", "raw_text": "But it was funny that Christopher was doing like, okay, maybe that is the value of like the data platform of having this like middle, middle layer.", "start_time": 2590.439, "end_time": 2596.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 616, "text": "And I think that's important.", "raw_text": "And I think that's important.", "start_time": 2596.28, "end_time": 2597.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 617, "text": "He also.", "raw_text": "He also.", "start_time": 2599.52, "end_time": 2600.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 618, "text": "So he did a lot of per entity dedicated files.", "raw_text": "So he did a lot of per entity dedicated files.", "start_time": 2600.37, "end_time": 2602.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 619, "text": "Very similar to what Sam had.", "raw_text": "Very similar to what Sam had.", "start_time": 2602.77, "end_time": 2604.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 620, "text": "Similar to the wiki thing.", "raw_text": "Similar to the wiki thing.", "start_time": 2604.17, "end_time": 2605.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 621, "text": "He had a good triage like inbox for approvals because his agent's running 24 7.", "raw_text": "He had a good triage like inbox for approvals because his agent's running 24 7.", "start_time": 2606.53, "end_time": 2611.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 622, "text": "The next step of this too, which I don't think we start with first.", "raw_text": "The next step of this too, which I don't think we start with first.", "start_time": 2611.09, "end_time": 2614.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 623, "text": "I think we have to figure out how to optimize things like with us in the loop.", "raw_text": "I think we have to figure out how to optimize things like with us in the loop.", "start_time": 2614.17, "end_time": 2617.25, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 624, "text": "Then the next thing is how do you get it working 247 or how can you get the most autonomy out of it.", "raw_text": "Then the next thing is how do you get it working 247 or how can you get the most autonomy out of it.", "start_time": 2617.25, "end_time": 2621.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 625, "text": "But I don't think you should ever start with automation.", "raw_text": "But I don't think you should ever start with automation.", "start_time": 2621.65, "end_time": 2623.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 626, "text": "We got to figure out a good use case first and then the heartbeat stuff which is just a cue instead of scheduled crons.", "raw_text": "We got to figure out a good use case first and then the heartbeat stuff which is just a cue instead of scheduled crons.", "start_time": 2623.89, "end_time": 2632.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 627, "text": "But this isn't really matter.", "raw_text": "But this isn't really matter.", "start_time": 2632.1, "end_time": 2636.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 628, "text": "We talked about this.", "raw_text": "We talked about this.", "start_time": 2636.78, "end_time": 2637.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 629, "text": "I think like my key lessons learned here is like figuring out where we elevate, push things up and down, having self healing, linting and then a lot of it is like procedural and understanding active versus passive and then sharing that knowledge.", "raw_text": "I think like my key lessons learned here is like figuring out where we elevate, push things up and down, having self healing, linting and then a lot of it is like procedural and understanding active versus passive and then sharing that knowledge.", "start_time": 2637.66, "end_time": 2650.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 630, "text": "Like a lot of it's a people process problem.", "raw_text": "Like a lot of it's a people process problem.", "start_time": 2650.38, "end_time": 2652.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 631, "text": "But then when we want to start building it out, I do think we want to do per client context, per project context.", "raw_text": "But then when we want to start building it out, I do think we want to do per client context, per project context.", "start_time": 2654.07, "end_time": 2659.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 632, "text": "And I think there should be like the agreed upon version that we all have.", "raw_text": "And I think there should be like the agreed upon version that we all have.", "start_time": 2659.95, "end_time": 2663.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 633, "text": "But then we can have personal levels that we start customizing.", "raw_text": "But then we can have personal levels that we start customizing.", "start_time": 2663.51, "end_time": 2666.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 634, "text": "So what's the advantage?", "raw_text": "So what's the advantage?", "start_time": 2667.59, "end_time": 2669.51, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 635, "text": "I guess what would go in blob we'll go back to that per context, per client context.", "raw_text": "I guess what would go in blob we'll go back to that per context, per client context.", "start_time": 2670.87, "end_time": 2680.76, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 636, "text": "Doc.", "raw_text": "Doc.", "start_time": 2680.76, "end_time": 2681.28, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 637, "text": "Foundation Blob Canonical client Canonical project.", "raw_text": "Foundation Blob Canonical client Canonical project.", "start_time": 2685.68, "end_time": 2688.8, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 638, "text": "So this is kind of like that ingest of where we're at.", "raw_text": "So this is kind of like that ingest of where we're at.", "start_time": 2689.92, "end_time": 2694.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 639, "text": "What's the difference between that and it sitting in a database?", "raw_text": "What's the difference between that and it sitting in a database?", "start_time": 2694.96, "end_time": 2699.36, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 640, "text": "I don't think so.", "raw_text": "I don't think so.", "start_time": 2700.88, "end_time": 2703.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 641, "text": "That's a good question.", "raw_text": "That's a good question.", "start_time": 2703.45, "end_time": 2704.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 642, "text": "And I think it might be use case specific.", "raw_text": "And I think it might be use case specific.", "start_time": 2704.29, "end_time": 2706.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 643, "text": "But the reason I was thinking blob is because I know for instance, well.", "raw_text": "But the reason I was thinking blob is because I know for instance, well.", "start_time": 2706.93, "end_time": 2710.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 644, "text": "There's blob and it's parquet files.", "raw_text": "There's blob and it's parquet files.", "start_time": 2710.77, "end_time": 2713.25, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 645, "text": "But then we post process it.", "raw_text": "But then we post process it.", "start_time": 2713.25, "end_time": 2715.05, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 646, "text": "But maybe even further than that because Sam, a lot of his workflows, the end state is a word document or like a PDF document.", "raw_text": "But maybe even further than that because Sam, a lot of his workflows, the end state is a word document or like a PDF document.", "start_time": 2715.21, "end_time": 2723.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 647, "text": "And so I think sharing that document for say you're managing like you're on a project with Dohar, learn it and learn it's team.", "raw_text": "And so I think sharing that document for say you're managing like you're on a project with Dohar, learn it and learn it's team.", "start_time": 2723.29, "end_time": 2732.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 648, "text": "It's probably more useful that you're all referencing the same document.", "raw_text": "It's probably more useful that you're all referencing the same document.", "start_time": 2732.88, "end_time": 2735.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 649, "text": "Or like say like we finish a call and then Doha or you send like the post call summary to the client.", "raw_text": "Or like say like we finish a call and then Doha or you send like the post call summary to the client.", "start_time": 2735.76, "end_time": 2740.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 650, "text": "Actually having like the direct access to that might be more useful than the data.", "raw_text": "Actually having like the direct access to that might be more useful than the data.", "start_time": 2741.12, "end_time": 2744.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 651, "text": "Or like if like this might be separate, like maybe it's like a deliverable document instead of just like the scratch.", "raw_text": "Or like if like this might be separate, like maybe it's like a deliverable document instead of just like the scratch.", "start_time": 2744.92, "end_time": 2750.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 652, "text": "So I think the parquet and like those data pipelines, that's like the scratch work and the lineage and like what you need to like build stuff.", "raw_text": "So I think the parquet and like those data pipelines, that's like the scratch work and the lineage and like what you need to like build stuff.", "start_time": 2750.08, "end_time": 2757.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 653, "text": "But we could probably have a simpler spot where the LLMs and the people will be less confused, where it's just like here's the one version, like you point there and it's just the answer.", "raw_text": "But we could probably have a simpler spot where the LLMs and the people will be less confused, where it's just like here's the one version, like you point there and it's just the answer.", "start_time": 2757.22, "end_time": 2764.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 654, "text": "But what would you ingest into that?", "raw_text": "But what would you ingest into that?", "start_time": 2766.42, "end_time": 2768.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 655, "text": "Wouldn't it be something that users or LLMs write to?", "raw_text": "Wouldn't it be something that users or LLMs write to?", "start_time": 2768.58, "end_time": 2772.42, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 656, "text": "Yeah, so that could be that.", "raw_text": "Yeah, so that could be that.", "start_time": 2772.9, "end_time": 2774.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 657, "text": "Honestly I don't have a point blank answer, but kind of what I was imagining is like so say Sam has this ingest and let's say it's like a signet ingest and like every day in the morning it's like, here's what we've promised Signet this week.", "raw_text": "Honestly I don't have a point blank answer, but kind of what I was imagining is like so say Sam has this ingest and let's say it's like a signet ingest and like every day in the morning it's like, here's what we've promised Signet this week.", "start_time": 2774.98, "end_time": 2787.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 658, "text": "Here's our deliverables, here's our progress.", "raw_text": "Here's our deliverables, here's our progress.", "start_time": 2787.91, "end_time": 2789.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 659, "text": "Well, every PM should be able to see that.", "raw_text": "Well, every PM should be able to see that.", "start_time": 2789.95, "end_time": 2791.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 660, "text": "That's like Sam was saying that dashboard or like you guys kind of had that set up in Claude.", "raw_text": "That's like Sam was saying that dashboard or like you guys kind of had that set up in Claude.", "start_time": 2791.59, "end_time": 2795.309, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 661, "text": "So maybe it's that Claude dashboard you built out, but then it's just shared like that source of truth is probably more useful than plugging into everything.", "raw_text": "So maybe it's that Claude dashboard you built out, but then it's just shared like that source of truth is probably more useful than plugging into everything.", "start_time": 2795.309, "end_time": 2802.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 662, "text": "Yeah, okay,.", "raw_text": "Yeah, okay,.", "start_time": 2802.83, "end_time": 2803.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 663, "text": "But I know this, this part needs a little bit of iteration.", "raw_text": "But I know this, this part needs a little bit of iteration.", "start_time": 2805.72, "end_time": 2807.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 664, "text": "I gotta look see forward where it.", "raw_text": "I gotta look see forward where it.", "start_time": 2808.36, "end_time": 2810.12, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 665, "text": "Had freaking live artifacts, man.", "raw_text": "Had freaking live artifacts, man.", "start_time": 2810.12, "end_time": 2812.76, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 666, "text": "If you just share those, dude.", "raw_text": "If you just share those, dude.", "start_time": 2812.76, "end_time": 2814.36, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 667, "text": "Yeah, so I got this in the side but I got, according to my current chat, I've got Toggle for 2025, 2026, Toggle and the MCP foundation are 99.97% match.", "raw_text": "Yeah, so I got this in the side but I got, according to my current chat, I've got Toggle for 2025, 2026, Toggle and the MCP foundation are 99.97% match.", "start_time": 2814.44, "end_time": 2831.16, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 668, "text": "I think what's throwing me off?", "raw_text": "I think what's throwing me off?", "start_time": 2832.27, "end_time": 2833.55, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 669, "text": "Well, I don't know how to approach it.", "raw_text": "Well, I don't know how to approach it.", "start_time": 2834.67, "end_time": 2836.27, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 670, "text": "It's like we got.", "raw_text": "It's like we got.", "start_time": 2836.27, "end_time": 2836.99, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 671, "text": "Now we got non billable and bracket and billable brackets for each project in toggl.", "raw_text": "Now we got non billable and bracket and billable brackets for each project in toggl.", "start_time": 2836.99, "end_time": 2844.75, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 672, "text": "I don't create the non billable anymore.", "raw_text": "I don't create the non billable anymore.", "start_time": 2845.63, "end_time": 2847.59, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 673, "text": "We shouldn't have those.", "raw_text": "We shouldn't have those.", "start_time": 2847.59, "end_time": 2848.43, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 674, "text": "But that was just something that they did before.", "raw_text": "But that was just something that they did before.", "start_time": 2848.43, "end_time": 2850.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 675, "text": "I haven't created one since I've been here.", "raw_text": "I haven't created one since I've been here.", "start_time": 2852.27, "end_time": 2854.35, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 676, "text": "So maybe she's combined them.", "raw_text": "So maybe she's combined them.", "start_time": 2855.63, "end_time": 2857.27, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 677, "text": "I think so.", "raw_text": "I think so.", "start_time": 2858.31, "end_time": 2859.03, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 678, "text": "I mean, if time is not billable, we should flag it.", "raw_text": "I mean, if time is not billable, we should flag it.", "start_time": 2859.03, "end_time": 2860.91, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 679, "text": "It's not billable.", "raw_text": "It's not billable.", "start_time": 2860.91, "end_time": 2861.47, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 680, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2861.47, "end_time": 2861.83, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 681, "text": "There's literally a not billable button.", "raw_text": "There's literally a not billable button.", "start_time": 2862.07, "end_time": 2863.67, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 682, "text": "Right.", "raw_text": "Right.", "start_time": 2863.67, "end_time": 2863.99, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 683, "text": "I don't know why.", "raw_text": "I don't know why.", "start_time": 2865.35, "end_time": 2866.31, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 684, "text": "All right, that's good to know.", "raw_text": "All right, that's good to know.", "start_time": 2866.39, "end_time": 2867.51, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 685, "text": "Okay.", "raw_text": "Okay.", "start_time": 2867.59, "end_time": 2867.95, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 686, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2867.95, "end_time": 2868.15, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 687, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2868.15, "end_time": 2868.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 688, "text": "I don't create it anymore.", "raw_text": "I don't create it anymore.", "start_time": 2868.31, "end_time": 2869.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 689, "text": "Okay.", "raw_text": "Okay.", "start_time": 2869.27, "end_time": 2869.75, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 690, "text": "So I am gonna tell Foundation Canonical.", "raw_text": "So I am gonna tell Foundation Canonical.", "start_time": 2870.23, "end_time": 2873.67, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 691, "text": "Just treat them as one.", "raw_text": "Just treat them as one.", "start_time": 2873.67, "end_time": 2874.95, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 692, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2875.19, "end_time": 2875.55, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 693, "text": "Because it should go into the same bucket.", "raw_text": "Because it should go into the same bucket.", "start_time": 2875.55, "end_time": 2877.11, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 694, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2877.11, "end_time": 2877.43, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 695, "text": "It talks to your profitability on the project.", "raw_text": "It talks to your profitability on the project.", "start_time": 2877.43, "end_time": 2879.43, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 696, "text": "That's the only thing doing the other.", "raw_text": "That's the only thing doing the other.", "start_time": 2879.67, "end_time": 2881.47, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 697, "text": "Other ones really focus up is TTI Web marketing.", "raw_text": "Other ones really focus up is TTI Web marketing.", "start_time": 2881.47, "end_time": 2884.56, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 698, "text": "And marketing is looped in, but I'll fix that.", "raw_text": "And marketing is looped in, but I'll fix that.", "start_time": 2884.56, "end_time": 2888.08, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 699, "text": "All right, so I'll get that fixed.", "raw_text": "All right, so I'll get that fixed.", "start_time": 2888.8, "end_time": 2890.8, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 700, "text": "Because that's where.", "raw_text": "Because that's where.", "start_time": 2892.72, "end_time": 2893.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 701, "text": "Let me see.", "raw_text": "Let me see.", "start_time": 2893.68, "end_time": 2894.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 702, "text": "I don't think there's too much in these.", "raw_text": "I don't think there's too much in these.", "start_time": 2896.08, "end_time": 2897.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 703, "text": "I took a shot.", "raw_text": "I took a shot.", "start_time": 2899.52, "end_time": 2900.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 704, "text": "Which one of these repos is it?", "raw_text": "Which one of these repos is it?", "start_time": 2901.84, "end_time": 2903.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 705, "text": "I took a couple different shots at, like, schemas, and this could be.", "raw_text": "I took a couple different shots at, like, schemas, and this could be.", "start_time": 2908.09, "end_time": 2912.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 706, "text": "I was kind of thinking, like, it could be blob.", "raw_text": "I was kind of thinking, like, it could be blob.", "start_time": 2913.37, "end_time": 2915.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 707, "text": "So I care more about markdowns than, like, columns.", "raw_text": "So I care more about markdowns than, like, columns.", "start_time": 2915.13, "end_time": 2917.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 708, "text": "But you could put this in a database.", "raw_text": "But you could put this in a database.", "start_time": 2917.45, "end_time": 2918.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 709, "text": "There's like, Gary Tan's G Brains all database, but he has a bunch of issues with how he uses his database.", "raw_text": "There's like, Gary Tan's G Brains all database, but he has a bunch of issues with how he uses his database.", "start_time": 2918.81, "end_time": 2923.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 710, "text": "We would do it better.", "raw_text": "We would do it better.", "start_time": 2923.29, "end_time": 2924.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 711, "text": "Well, I think if it's something that people want to, like, pull up and open and look at, One drive would be fine.", "raw_text": "Well, I think if it's something that people want to, like, pull up and open and look at, One drive would be fine.", "start_time": 2924.01, "end_time": 2933.84, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 712, "text": "Yeah, we could.", "raw_text": "Yeah, we could.", "start_time": 2935.03, "end_time": 2935.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 713, "text": "Because I think.", "raw_text": "Because I think.", "start_time": 2935.63, "end_time": 2936.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 714, "text": "I think the key of it is,.", "raw_text": "I think the key of it is,.", "start_time": 2936.31, "end_time": 2937.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 715, "text": "Like, if it was like, if you open up OneDrive in cursor or VS code, then you can see, like, the preview and see it.", "raw_text": "Like, if it was like, if you open up OneDrive in cursor or VS code, then you can see, like, the preview and see it.", "start_time": 2937.47, "end_time": 2946.83, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 716, "text": "Nice.", "raw_text": "Nice.", "start_time": 2946.83, "end_time": 2947.19, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 717, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2947.43, "end_time": 2947.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 718, "text": "And I think we need to take it.", "raw_text": "And I think we need to take it.", "start_time": 2947.75, "end_time": 2948.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 719, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 2948.87, "end_time": 2949.23, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 720, "text": "It'd be cool if it was like, for like, Jeff or like, John is like, I don't know.", "raw_text": "It'd be cool if it was like, for like, Jeff or like, John is like, I don't know.", "start_time": 2949.23, "end_time": 2955.91, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 721, "text": "How does OneDrive even render markdown properly?", "raw_text": "How does OneDrive even render markdown properly?", "start_time": 2955.91, "end_time": 2958.63, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 722, "text": "I don't think so, but that's where I wanted to, like, a step further.", "raw_text": "I don't think so, but that's where I wanted to, like, a step further.", "start_time": 2958.79, "end_time": 2962.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 723, "text": "One thing which is analogous pretty straight here is like, for our Quantum Coalition, our nonprofit, we have a bunch of, like, students and academics, and they have pretty ranging thoughts on AI and like, Ethical stuff.", "raw_text": "One thing which is analogous pretty straight here is like, for our Quantum Coalition, our nonprofit, we have a bunch of, like, students and academics, and they have pretty ranging thoughts on AI and like, Ethical stuff.", "start_time": 2962.74, "end_time": 2974.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 724, "text": "And it's pretty hard to like AI pill people, as we know from this organization.", "raw_text": "And it's pretty hard to like AI pill people, as we know from this organization.", "start_time": 2974.94, "end_time": 2978.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 725, "text": "And so it's like, okay, well I know for a fact that I don't have time to do all the tasks I'm supposed to be doing and I'm trying to use AI.", "raw_text": "And so it's like, okay, well I know for a fact that I don't have time to do all the tasks I'm supposed to be doing and I'm trying to use AI.", "start_time": 2979.14, "end_time": 2985.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 726, "text": "So what we worked on doing is having like this three level approach of essentially what they do weekly.", "raw_text": "So what we worked on doing is having like this three level approach of essentially what they do weekly.", "start_time": 2985.54, "end_time": 2990.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 727, "text": "We have these meetings and they put all their stuff into Google Drive and then our president has a spreadsheet, all the stuff they need to do and essentially they kind of need a CRM for their outreach and then they have these task lists.", "raw_text": "We have these meetings and they put all their stuff into Google Drive and then our president has a spreadsheet, all the stuff they need to do and essentially they kind of need a CRM for their outreach and then they have these task lists.", "start_time": 2990.44, "end_time": 3000.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 728, "text": "So I'm like, how about we just centralize this to a place and I'm going to set up a harness and a database, but I'm going to ingest from Google Drive because I don't want to change their workflow at all.", "raw_text": "So I'm like, how about we just centralize this to a place and I'm going to set up a harness and a database, but I'm going to ingest from Google Drive because I don't want to change their workflow at all.", "start_time": 3000.68, "end_time": 3011.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 729, "text": "I'm like, okay, you put this in this drive folder and you use the same sheets you did, except now I'm gonna have a note taker come to your meetings and then they use discord.", "raw_text": "I'm like, okay, you put this in this drive folder and you use the same sheets you did, except now I'm gonna have a note taker come to your meetings and then they use discord.", "start_time": 3011.28, "end_time": 3019.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 730, "text": "So like in your discord, as soon as your meeting's done, I'm gonna have a bot hit you with here's your tasks.", "raw_text": "So like in your discord, as soon as your meeting's done, I'm gonna have a bot hit you with here's your tasks.", "start_time": 3019.88, "end_time": 3025.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 731, "text": "And then for most people that's the only level of involvement you need.", "raw_text": "And then for most people that's the only level of involvement you need.", "start_time": 3025.4, "end_time": 3028.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 732, "text": "Just saying like AI, here's a summary of where you're at.", "raw_text": "Just saying like AI, here's a summary of where you're at.", "start_time": 3028.92, "end_time": 3032.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 733, "text": "You don't even get to talk back to it.", "raw_text": "You don't even get to talk back to it.", "start_time": 3032.12, "end_time": 3033.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 734, "text": "It's just a one way communication so you know where you're at.", "raw_text": "It's just a one way communication so you know where you're at.", "start_time": 3033.56, "end_time": 3036.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 735, "text": "And then if you go and change like the spreadsheet, it's basically serving as a dashboard.", "raw_text": "And then if you go and change like the spreadsheet, it's basically serving as a dashboard.", "start_time": 3036.6, "end_time": 3040.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 736, "text": "I want to sell them on like get a web app at some point.", "raw_text": "I want to sell them on like get a web app at some point.", "start_time": 3040.85, "end_time": 3042.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 737, "text": "But okay, here's your source of truth.", "raw_text": "But okay, here's your source of truth.", "start_time": 3042.77, "end_time": 3044.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 738, "text": "You're working the exact system you have.", "raw_text": "You're working the exact system you have.", "start_time": 3044.57, "end_time": 3046.05, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 739, "text": "And essentially the only difference for them is maybe they get some real time feedback.", "raw_text": "And essentially the only difference for them is maybe they get some real time feedback.", "start_time": 3046.21, "end_time": 3050.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 740, "text": "But essentially I'm just taking their information and using it.", "raw_text": "But essentially I'm just taking their information and using it.", "start_time": 3050.21, "end_time": 3053.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 741, "text": "And like that's the key part.", "raw_text": "And like that's the key part.", "start_time": 3053.81, "end_time": 3055.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 742, "text": "Then level two is our president and our people who are kind of willing to work with AI because they're feeling enough pain from all the paperwork they have to do.", "raw_text": "Then level two is our president and our people who are kind of willing to work with AI because they're feeling enough pain from all the paperwork they have to do.", "start_time": 3055.33, "end_time": 3064.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 743, "text": "And I was telling them, I'm like, you don't need to be doing this.", "raw_text": "And I was telling them, I'm like, you don't need to be doing this.", "start_time": 3064.45, "end_time": 3066.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 744, "text": "All we need to do is make sure that everyone at level one who doesn't really need to know what's going on, we just need to make sure we're recording their data so then I can serve it to you in a way that's useful.", "raw_text": "All we need to do is make sure that everyone at level one who doesn't really need to know what's going on, we just need to make sure we're recording their data so then I can serve it to you in a way that's useful.", "start_time": 3067.32, "end_time": 3075.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 745, "text": "So then I'll give you a cloud enterprise subscription and then MCP and all your data and then when you need to do your task list, it's easy and you have an easy working space.", "raw_text": "So then I'll give you a cloud enterprise subscription and then MCP and all your data and then when you need to do your task list, it's easy and you have an easy working space.", "start_time": 3075.96, "end_time": 3084.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 746, "text": "And then the third layer is me and two other guys who are developers and fully understand this flow well we have a fully empowered harness, access to everything.", "raw_text": "And then the third layer is me and two other guys who are developers and fully understand this flow well we have a fully empowered harness, access to everything.", "start_time": 3085.4, "end_time": 3094.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 747, "text": "Everyone else is now just a cog in the wheel that we can at least access and then they can choose their level of involvement.", "raw_text": "Everyone else is now just a cog in the wheel that we can at least access and then they can choose their level of involvement.", "start_time": 3094.84, "end_time": 3100.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 748, "text": "If they want to get fully into the repo, we'll send it to them, it's open sourced and then we just post it, we'll give them credentials or they don't even have to think about it, they're just following the normal procedures they did.", "raw_text": "If they want to get fully into the repo, we'll send it to them, it's open sourced and then we just post it, we'll give them credentials or they don't even have to think about it, they're just following the normal procedures they did.", "start_time": 3100.59, "end_time": 3111.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 749, "text": "So building it in that way we've seen way, way, way better adoption.", "raw_text": "So building it in that way we've seen way, way, way better adoption.", "start_time": 3111.789, "end_time": 3114.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 750, "text": "So here kind of what I'm thinking is having all the data in some table, that's not going to help as much as we finish a meeting and then everyone in the project or the Slack channel just gets here's your deliverable.", "raw_text": "So here kind of what I'm thinking is having all the data in some table, that's not going to help as much as we finish a meeting and then everyone in the project or the Slack channel just gets here's your deliverable.", "start_time": 3115.79, "end_time": 3126.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 751, "text": "They don't really care.", "raw_text": "They don't really care.", "start_time": 3126.69, "end_time": 3127.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 752, "text": "It doesn't even matter what's stored in the database, nor does it matter where it's stored if you're just served.", "raw_text": "It doesn't even matter what's stored in the database, nor does it matter where it's stored if you're just served.", "start_time": 3127.37, "end_time": 3131.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 753, "text": "Here's the word document output.", "raw_text": "Here's the word document output.", "start_time": 3131.57, "end_time": 3133.25, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 754, "text": "So it's like I think the deliverable needs to be shared but all the scratch work doesn't matter.", "raw_text": "So it's like I think the deliverable needs to be shared but all the scratch work doesn't matter.", "start_time": 3133.25, "end_time": 3137.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 755, "text": "Like that's where again you could be the only person in the company who actually knows what's in the canonical tables.", "raw_text": "Like that's where again you could be the only person in the company who actually knows what's in the canonical tables.", "start_time": 3137.29, "end_time": 3142.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 756, "text": "But if we all agree on the output and use it like that's a win.", "raw_text": "But if we all agree on the output and use it like that's a win.", "start_time": 3142.77, "end_time": 3145.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 757, "text": "And I took a stab at like this is how I have my personal one set up.", "raw_text": "And I took a stab at like this is how I have my personal one set up.", "start_time": 3149.1, "end_time": 3153.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 758, "text": "So I literally just have this on my local.", "raw_text": "So I literally just have this on my local.", "start_time": 3153.42, "end_time": 3155.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 759, "text": "So I have like these different repos of like here's like I got like a fitness coach, a thesis coach, like my portfolio, my stories and then like identity.", "raw_text": "So I have like these different repos of like here's like I got like a fitness coach, a thesis coach, like my portfolio, my stories and then like identity.", "start_time": 3155.34, "end_time": 3163.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 760, "text": "And I think that's the one thing too where I'm working with this vault of like my identity in terms of like about me, my working style and my samples.", "raw_text": "And I think that's the one thing too where I'm working with this vault of like my identity in terms of like about me, my working style and my samples.", "start_time": 3163.5, "end_time": 3171.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 761, "text": "Well I want that in every project because like it should know about me but it doesn't need to know like my CV or my career story or my fitness life when I'm working on a project.", "raw_text": "Well I want that in every project because like it should know about me but it doesn't need to know like my CV or my career story or my fitness life when I'm working on a project.", "start_time": 3171.34, "end_time": 3178.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 762, "text": "So it's kind of like these are then controlled but I can open them up.", "raw_text": "So it's kind of like these are then controlled but I can open them up.", "start_time": 3179.35, "end_time": 3182.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 763, "text": "So like I've been kind of doing that with my storage and like a schema for something like us.", "raw_text": "So like I've been kind of doing that with my storage and like a schema for something like us.", "start_time": 3182.63, "end_time": 3187.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 764, "text": "Like if there was like a Morland brain maybe there's like we have this top level schema but then there's clients and then people because I Do think it'd be useful too.", "raw_text": "Like if there was like a Morland brain maybe there's like we have this top level schema but then there's clients and then people because I Do think it'd be useful too.", "start_time": 3187.03, "end_time": 3194.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 765, "text": "Like that was one thing I liked back when like they we mocked up that interconnect profile.", "raw_text": "Like that was one thing I liked back when like they we mocked up that interconnect profile.", "start_time": 3194.75, "end_time": 3199.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 766, "text": "It'd probably be useful if we had like the one thing that Christopher could do instead of just doing this external partner network thing.", "raw_text": "It'd probably be useful if we had like the one thing that Christopher could do instead of just doing this external partner network thing.", "start_time": 3199.7, "end_time": 3205.9, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 767, "text": "We should have an internal one.", "raw_text": "We should have an internal one.", "start_time": 3205.9, "end_time": 3207.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 768, "text": "You should have like a RK's behavior or like, you know, how to deal with Green Bomb or like what to expect.", "raw_text": "You should have like a RK's behavior or like, you know, how to deal with Green Bomb or like what to expect.", "start_time": 3207.38, "end_time": 3214.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 769, "text": "And like those would be useful.", "raw_text": "And like those would be useful.", "start_time": 3215.22, "end_time": 3216.86, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 770, "text": "I don't know if we want to like compile that or like put it in some degree of warning but like things we expect with this client or like advice on handling the client.", "raw_text": "I don't know if we want to like compile that or like put it in some degree of warning but like things we expect with this client or like advice on handling the client.", "start_time": 3216.86, "end_time": 3223.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 771, "text": "I mean there's reality of that.", "raw_text": "I mean there's reality of that.", "start_time": 3223.82, "end_time": 3226.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 772, "text": "That stuff does need to be somewhere because there is.", "raw_text": "That stuff does need to be somewhere because there is.", "start_time": 3226.27, "end_time": 3228.55, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 773, "text": "There are certain situations, customers, safeguards a primary example.", "raw_text": "There are certain situations, customers, safeguards a primary example.", "start_time": 3229.19, "end_time": 3233.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 774, "text": "Our invoicing process is different for them.", "raw_text": "Our invoicing process is different for them.", "start_time": 3233.27, "end_time": 3235.07, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 775, "text": "And I know Jeff doesn't like it, but we wouldn't get paid if we didn't do it.", "raw_text": "And I know Jeff doesn't like it, but we wouldn't get paid if we didn't do it.", "start_time": 3235.07, "end_time": 3238.31, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 776, "text": "Yeah, and right now that's in my Indohar's head.", "raw_text": "Yeah, and right now that's in my Indohar's head.", "start_time": 3238.47, "end_time": 3240.95, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 777, "text": "Right.", "raw_text": "Right.", "start_time": 3240.95, "end_time": 3241.35, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 778, "text": "We force it to happen because we remember to do it every month.", "raw_text": "We force it to happen because we remember to do it every month.", "start_time": 3241.83, "end_time": 3245.11, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 779, "text": "And I mean this gets into like, so there's the discrete data that comes from all your sources which like that's fairly okay, fairly easy to kind of wrap your head around, get that working.", "raw_text": "And I mean this gets into like, so there's the discrete data that comes from all your sources which like that's fairly okay, fairly easy to kind of wrap your head around, get that working.", "start_time": 3245.43, "end_time": 3259.12, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 780, "text": "And then there's like the other context of your business.", "raw_text": "And then there's like the other context of your business.", "start_time": 3260.32, "end_time": 3263.92, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 781, "text": "Tribal institutional knowledge.", "raw_text": "Tribal institutional knowledge.", "start_time": 3264.08, "end_time": 3265.68, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 782, "text": "Yeah, but yeah, well you.", "raw_text": "Yeah, but yeah, well you.", "start_time": 3265.68, "end_time": 3267.76, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 783, "text": "What's the term that's in programming for URD or something for oe Every time you guys make a decision.", "raw_text": "What's the term that's in programming for URD or something for oe Every time you guys make a decision.", "start_time": 3267.76, "end_time": 3273.84, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 784, "text": "Oh a R D,.", "raw_text": "Oh a R D,.", "start_time": 3273.92, "end_time": 3274.96, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 785, "text": "There's like your tribal knowledge and then there is like why did this decision get made this way which never gets recorded anywhere.", "raw_text": "There's like your tribal knowledge and then there is like why did this decision get made this way which never gets recorded anywhere.", "start_time": 3277.13, "end_time": 3284.01, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 786, "text": "That's what I want to steal from the wiki.", "raw_text": "That's what I want to steal from the wiki.", "start_time": 3285.05, "end_time": 3286.73, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 787, "text": "So like when I did my thesis I had like, in my thesis harness I had like a decisions MD which was every manual human override that I had in any conversation with Claude, it knew his number one skill was save any human override and it would ask me why and then I would approve it or just disapprove it.", "raw_text": "So like when I did my thesis I had like, in my thesis harness I had like a decisions MD which was every manual human override that I had in any conversation with Claude, it knew his number one skill was save any human override and it would ask me why and then I would approve it or just disapprove it.", "start_time": 3286.73, "end_time": 3302.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 788, "text": "And that allowed the system to get so good at the end.", "raw_text": "And that allowed the system to get so good at the end.", "start_time": 3302.47, "end_time": 3305.19, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 789, "text": "So like for instance, like when we're seeing these invoice changes, maybe what we do is start making our process like so like amb.", "raw_text": "So like for instance, like when we're seeing these invoice changes, maybe what we do is start making our process like so like amb.", "start_time": 3305.27, "end_time": 3312.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 790, "text": "Di I know there was a lot of community, like there was communication issues on that for example.", "raw_text": "Di I know there was a lot of community, like there was communication issues on that for example.", "start_time": 3312.99, "end_time": 3316.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 791, "text": "So maybe it would have been useful is like we had an AI interview for like all the parties involved after each meeting and then at least there could be like a source of truth because like maybe we just start looking at the he said, or like the.", "raw_text": "So maybe it would have been useful is like we had an AI interview for like all the parties involved after each meeting and then at least there could be like a source of truth because like maybe we just start looking at the he said, or like the.", "start_time": 3316.87, "end_time": 3327.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 792, "text": "Where those things get confused and we just make a process change.", "raw_text": "Where those things get confused and we just make a process change.", "start_time": 3327.68, "end_time": 3330.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 793, "text": "Like here's why these decisions were made and I don't think it right away.", "raw_text": "Like here's why these decisions were made and I don't think it right away.", "start_time": 3330.6, "end_time": 3334.48, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 794, "text": "That's not gonna help us change anything.", "raw_text": "That's not gonna help us change anything.", "start_time": 3334.48, "end_time": 3335.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 795, "text": "But at least we can start like tracking it.", "raw_text": "But at least we can start like tracking it.", "start_time": 3335.96, "end_time": 3337.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 796, "text": "Or we do it like project specific because like it definitely is something that you need to know that like we don't get pitched on as fast because like there's a completely different speed because we have to meet people where they're at.", "raw_text": "Or we do it like project specific because like it definitely is something that you need to know that like we don't get pitched on as fast because like there's a completely different speed because we have to meet people where they're at.", "start_time": 3337.6, "end_time": 3347.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 797, "text": "It's like.", "raw_text": "It's like.", "start_time": 3347.8, "end_time": 3348.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 798, "text": "And I've jumped around.", "raw_text": "And I've jumped around.", "start_time": 3348.48, "end_time": 3349.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 799, "text": "I mean, you and I, we're on a bunch of projects and like every speed's different, let alone the squads, but even project in the squads.", "raw_text": "I mean, you and I, we're on a bunch of projects and like every speed's different, let alone the squads, but even project in the squads.", "start_time": 3349.52, "end_time": 3355.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 800, "text": "Like the speed's so different, the clients are so different, the expectations are always so different.", "raw_text": "Like the speed's so different, the clients are so different, the expectations are always so different.", "start_time": 3355.14, "end_time": 3359.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 801, "text": "And like addressing that's tough.", "raw_text": "And like addressing that's tough.", "start_time": 3359.74, "end_time": 3361.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 802, "text": "Yeah, I hear people like talk about this like very theoretical about like the decision history.", "raw_text": "Yeah, I hear people like talk about this like very theoretical about like the decision history.", "start_time": 3362.38, "end_time": 3368.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 803, "text": "And I don't really, I don't.", "raw_text": "And I don't really, I don't.", "start_time": 3368.78, "end_time": 3373.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 804, "text": "Unless there's like some bot that calls you and interviews you and asks you.", "raw_text": "Unless there's like some bot that calls you and interviews you and asks you.", "start_time": 3374.38, "end_time": 3379.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 805, "text": "I don't see like people ever really do.", "raw_text": "I don't see like people ever really do.", "start_time": 3379.82, "end_time": 3382.56, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 806, "text": "And there's like people like banking on like, oh, the decision context is gonna change businesses.", "raw_text": "And there's like people like banking on like, oh, the decision context is gonna change businesses.", "start_time": 3382.8, "end_time": 3388.32, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 807, "text": "Like this is the real world, man.", "raw_text": "Like this is the real world, man.", "start_time": 3388.72, "end_time": 3390.36, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 808, "text": "Like people aren't gonna write this shit down ever.", "raw_text": "Like people aren't gonna write this shit down ever.", "start_time": 3390.36, "end_time": 3392.4, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 809, "text": "They're doing stuff.", "raw_text": "They're doing stuff.", "start_time": 3393.12, "end_time": 3394.24, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 810, "text": "So I don't know, there could be maybe like a prompt or something or a slack message.", "raw_text": "So I don't know, there could be maybe like a prompt or something or a slack message.", "start_time": 3394.96, "end_time": 3400.28, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 811, "text": "You get asked about stuff.", "raw_text": "You get asked about stuff.", "start_time": 3400.28, "end_time": 3401.88, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 812, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 3401.88, "end_time": 3402.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 813, "text": "That would.", "raw_text": "That would.", "start_time": 3402.4, "end_time": 3402.84, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 814, "text": "And maybe you'll get.", "raw_text": "And maybe you'll get.", "start_time": 3402.84, "end_time": 3403.76, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 815, "text": "I would never anticipate you would get like full compliance though.", "raw_text": "I would never anticipate you would get like full compliance though.", "start_time": 3403.84, "end_time": 3407.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 816, "text": "You might get like tidbits here and there when people do respond to it, which could be helpful still.", "raw_text": "You might get like tidbits here and there when people do respond to it, which could be helpful still.", "start_time": 3407.33, "end_time": 3412.25, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 817, "text": "But I don't know.", "raw_text": "But I don't know.", "start_time": 3412.33, "end_time": 3415.57, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 818, "text": "I, I know I understand the value of it a ton.", "raw_text": "I, I know I understand the value of it a ton.", "start_time": 3415.57, "end_time": 3418.37, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 819, "text": "Like I 100 get it.", "raw_text": "Like I 100 get it.", "start_time": 3418.37, "end_time": 3419.93, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 820, "text": "I've been getting even now, like even our 30 people, like pretty tech forward.", "raw_text": "I've been getting even now, like even our 30 people, like pretty tech forward.", "start_time": 3420.41, "end_time": 3426.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 821, "text": "Like we get, we try to get buy in.", "raw_text": "Like we get, we try to get buy in.", "start_time": 3427.13, "end_time": 3429.69, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 822, "text": "But like imagine trying to have Signet do that, that like 0% chance that we do it.", "raw_text": "But like imagine trying to have Signet do that, that like 0% chance that we do it.", "start_time": 3429.77, "end_time": 3434.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 823, "text": "I'm trying.", "raw_text": "I'm trying.", "start_time": 3434.34, "end_time": 3434.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 824, "text": "I'm actually working on that actively.", "raw_text": "I'm actually working on that actively.", "start_time": 3436.1, "end_time": 3438.02, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 825, "text": "So I don't know, I think there's like.", "raw_text": "So I don't know, I think there's like.", "start_time": 3439.14, "end_time": 3440.9, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 826, "text": "And maybe if you still get like 30% compliance or 10 or 20, it's still useful.", "raw_text": "And maybe if you still get like 30% compliance or 10 or 20, it's still useful.", "start_time": 3443.54, "end_time": 3449.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 827, "text": "Like it's better than nothing but.", "raw_text": "Like it's better than nothing but.", "start_time": 3449.62, "end_time": 3451.22, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 828, "text": "But like these companies saying they're going to like change how people work with it.", "raw_text": "But like these companies saying they're going to like change how people work with it.", "start_time": 3451.38, "end_time": 3455.1, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 829, "text": "I just don't know.", "raw_text": "I just don't know.", "start_time": 3455.1, "end_time": 3456.02, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 830, "text": "That's the one thing too of like right here.", "raw_text": "That's the one thing too of like right here.", "start_time": 3456.34, "end_time": 3458.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 831, "text": "So this whole document is just like every time I change something, I literally just put in my Claude md.", "raw_text": "So this whole document is just like every time I change something, I literally just put in my Claude md.", "start_time": 3458.33, "end_time": 3464.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 832, "text": "I have it up here, might be just out here like in my Claude md,.", "raw_text": "I have it up here, might be just out here like in my Claude md,.", "start_time": 3465.81, "end_time": 3471.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 833, "text": "Like how many decisions have you really asked?", "raw_text": "Like how many decisions have you really asked?", "start_time": 3474.13, "end_time": 3476.01, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 834, "text": "People were like, big decisions impacted the company.", "raw_text": "People were like, big decisions impacted the company.", "start_time": 3476.01, "end_time": 3479.73, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 835, "text": "If you asked them be like, wow, we were having some beers, golfing and it was like I said, yeah, that's good.", "raw_text": "If you asked them be like, wow, we were having some beers, golfing and it was like I said, yeah, that's good.", "start_time": 3480.13, "end_time": 3485.66, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 836, "text": "Like that's the real decision.", "raw_text": "Like that's the real decision.", "start_time": 3486.3, "end_time": 3487.5, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 837, "text": "Like a ton of times.", "raw_text": "Like a ton of times.", "start_time": 3489.02, "end_time": 3490.14, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 838, "text": "So maybe decisions, maybe it's still.", "raw_text": "So maybe decisions, maybe it's still.", "start_time": 3492.06, "end_time": 3494.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 839, "text": "That's useful, I guess.", "raw_text": "That's useful, I guess.", "start_time": 3494.06, "end_time": 3495.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 840, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 3495.06, "end_time": 3495.66, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 841, "text": "So this is what I have here.", "raw_text": "So this is what I have here.", "start_time": 3496.14, "end_time": 3497.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 842, "text": "This is what I did and I did not have to mess with it.", "raw_text": "This is what I did and I did not have to mess with it.", "start_time": 3497.58, "end_time": 3500.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 843, "text": "Like this is one of those things we could force at a project level or like an environment level.", "raw_text": "Like this is one of those things we could force at a project level or like an environment level.", "start_time": 3500.26, "end_time": 3504.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 844, "text": "Read the file.", "raw_text": "Read the file.", "start_time": 3505.1, "end_time": 3505.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 845, "text": "So I have a decision log and every session Claude would read the file file and then every fix it would just append automatically.", "raw_text": "So I have a decision log and every session Claude would read the file file and then every fix it would just append automatically.", "start_time": 3506.14, "end_time": 3513.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 846, "text": "Like I didn't have to do anything and then you could put a linting to go through there.", "raw_text": "Like I didn't have to do anything and then you could put a linting to go through there.", "start_time": 3513.26, "end_time": 3516.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 847, "text": "But I had like every time I made these changes, like only if it.", "raw_text": "But I had like every time I made these changes, like only if it.", "start_time": 3516.78, "end_time": 3521.22, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 848, "text": "Can infer something was by the chat.", "raw_text": "Can infer something was by the chat.", "start_time": 3521.22, "end_time": 3523.58, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 849, "text": "Well, I mean, right.", "raw_text": "Well, I mean, right.", "start_time": 3524.14, "end_time": 3525.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 850, "text": "Basically every prompt I gave it it would think is this making me change something behaviorally?", "raw_text": "Basically every prompt I gave it it would think is this making me change something behaviorally?", "start_time": 3526.62, "end_time": 3531.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 851, "text": "And then it would like auto log it.", "raw_text": "And then it would like auto log it.", "start_time": 3531.94, "end_time": 3533.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 852, "text": "And I can tell you like from the end, the beginning of this project, I had to tell it every time what was going on.", "raw_text": "And I can tell you like from the end, the beginning of this project, I had to tell it every time what was going on.", "start_time": 3533.66, "end_time": 3538.05, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 853, "text": "By the end of the project, I trusted so much.", "raw_text": "By the end of the project, I trusted so much.", "start_time": 3538.05, "end_time": 3540.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 854, "text": "It rewrote two sections, I didn't read them and Eds like these are great.", "raw_text": "It rewrote two sections, I didn't read them and Eds like these are great.", "start_time": 3540.17, "end_time": 3543.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 855, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3543.37, "end_time": 3543.81, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 856, "text": "And so it was pretty good because I would also be like dumping in.", "raw_text": "And so it was pretty good because I would also be like dumping in.", "start_time": 3543.81, "end_time": 3546.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 857, "text": "And then for this one what I did too is I had.", "raw_text": "And then for this one what I did too is I had.", "start_time": 3547.05, "end_time": 3549.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 858, "text": "How did I do this?", "raw_text": "How did I do this?", "start_time": 3550.17, "end_time": 3550.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 859, "text": "So I had like a working folder where we'd like archive the different sections and I kind of used it a little bit, but it also would have.", "raw_text": "So I had like a working folder where we'd like archive the different sections and I kind of used it a little bit, but it also would have.", "start_time": 3550.97, "end_time": 3557.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 860, "text": "I put it in Sources.", "raw_text": "I put it in Sources.", "start_time": 3557.93, "end_time": 3559.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 861, "text": "Sources was like files.", "raw_text": "Sources was like files.", "start_time": 3560.01, "end_time": 3562.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 862, "text": "This was like my data dump.", "raw_text": "This was like my data dump.", "start_time": 3562.29, "end_time": 3563.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 863, "text": "So this was like my raw.", "raw_text": "So this was like my raw.", "start_time": 3563.66, "end_time": 3564.86, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 864, "text": "So what I made it to is like Claude set up this whole repo and I would just do like data dumps or I guess the actual files is where I data dump.", "raw_text": "So what I made it to is like Claude set up this whole repo and I would just do like data dumps or I guess the actual files is where I data dump.", "start_time": 3564.94, "end_time": 3574.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 865, "text": "And I made Claude index and sort things and it would basically use this decision log and I think I have like a brain MD or something in here.", "raw_text": "And I made Claude index and sort things and it would basically use this decision log and I think I have like a brain MD or something in here.", "start_time": 3574.42, "end_time": 3584.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 866, "text": "We would use like revision checklist basically the formatting of how it did it.", "raw_text": "We would use like revision checklist basically the formatting of how it did it.", "start_time": 3584.94, "end_time": 3588.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 867, "text": "I didn't really have to get in its way.", "raw_text": "I didn't really have to get in its way.", "start_time": 3588.71, "end_time": 3590.15, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 868, "text": "And like I have a claims map that like every claim in my thesis is like supported in here and I just kind of index it.", "raw_text": "And like I have a claims map that like every claim in my thesis is like supported in here and I just kind of index it.", "start_time": 3590.15, "end_time": 3596.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 869, "text": "And after I set it up, I didn't like actively change it once.", "raw_text": "And after I set it up, I didn't like actively change it once.", "start_time": 3596.63, "end_time": 3599.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 870, "text": "So like it is.", "raw_text": "So like it is.", "start_time": 3599.67, "end_time": 3600.39, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 871, "text": "It is possible I did it.", "raw_text": "It is possible I did it.", "start_time": 3600.39, "end_time": 3601.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 872, "text": "I agree with you that it's tough to enforce and that comes into like the developer workflow.", "raw_text": "I agree with you that it's tough to enforce and that comes into like the developer workflow.", "start_time": 3602.23, "end_time": 3606.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 873, "text": "But, like, we could.", "raw_text": "But, like, we could.", "start_time": 3606.71, "end_time": 3608.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 874, "text": "And we also, like, just like your change order thing.", "raw_text": "And we also, like, just like your change order thing.", "start_time": 3608.23, "end_time": 3610.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 875, "text": "It's as simple as, like every time we do a client call, an internal sync, we're like, that's what I did for Maroos.", "raw_text": "It's as simple as, like every time we do a client call, an internal sync, we're like, that's what I did for Maroos.", "start_time": 3610.95, "end_time": 3616.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 876, "text": "I took our internal call, our external call, and then our internal call, and I said, where are the discrepancies?", "raw_text": "I took our internal call, our external call, and then our internal call, and I said, where are the discrepancies?", "start_time": 3616.68, "end_time": 3621.12, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 877, "text": "And then to this statement of work.", "raw_text": "And then to this statement of work.", "start_time": 3621.2, "end_time": 3622.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 878, "text": "That's how I said, like, here are all possible scope changes.", "raw_text": "That's how I said, like, here are all possible scope changes.", "start_time": 3622.76, "end_time": 3625.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 879, "text": "Like, even I think that would just be helpful of like, of calling that out.", "raw_text": "Like, even I think that would just be helpful of like, of calling that out.", "start_time": 3625.52, "end_time": 3629.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 880, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3629.6, "end_time": 3630.039, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 881, "text": "And so we could automate that.", "raw_text": "And so we could automate that.", "start_time": 3630.039, "end_time": 3631.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 882, "text": "And then I do agree with you that, like, the only way, like, we're not gonna get, you know, like Jeff to sit down and just write down all those thoughts.", "raw_text": "And then I do agree with you that, like, the only way, like, we're not gonna get, you know, like Jeff to sit down and just write down all those thoughts.", "start_time": 3631.32, "end_time": 3638.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 883, "text": "But you could just call it like on the trial.", "raw_text": "But you could just call it like on the trial.", "start_time": 3638.36, "end_time": 3639.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 884, "text": "Or we could say like, per project.", "raw_text": "Or we could say like, per project.", "start_time": 3640.23, "end_time": 3641.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 885, "text": "Or even if we just start pulling in those parts of like, pointman, because, like, they're every person on every project at some point in the working day has said out loud, probably all the context we need.", "raw_text": "Or even if we just start pulling in those parts of like, pointman, because, like, they're every person on every project at some point in the working day has said out loud, probably all the context we need.", "start_time": 3641.91, "end_time": 3652.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 886, "text": "We just have to find a way to capture it.", "raw_text": "We just have to find a way to capture it.", "start_time": 3652.79, "end_time": 3654.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 887, "text": "So we can either start parsing those through things or just say at the end of the day or at the end of things, like, talk to this AI transcript about.", "raw_text": "So we can either start parsing those through things or just say at the end of the day or at the end of things, like, talk to this AI transcript about.", "start_time": 3654.63, "end_time": 3662.15, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 888, "text": "Or I'll manually go ask them.", "raw_text": "Or I'll manually go ask them.", "start_time": 3662.15, "end_time": 3663.67, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 889, "text": "If we just walked in there and asked them.", "raw_text": "If we just walked in there and asked them.", "start_time": 3663.91, "end_time": 3665.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 890, "text": "Or maybe whoever's feeling the most pain on this, make it their problem.", "raw_text": "Or maybe whoever's feeling the most pain on this, make it their problem.", "start_time": 3665.76, "end_time": 3669.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 891, "text": "I know in some scenarios, if Learn is upset with how this thing.", "raw_text": "I know in some scenarios, if Learn is upset with how this thing.", "start_time": 3670.08, "end_time": 3673.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 892, "text": "Okay, you go record this.", "raw_text": "Okay, you go record this.", "start_time": 3673.24, "end_time": 3674.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 893, "text": "Or maybe that's a DOHA or SAM job.", "raw_text": "Or maybe that's a DOHA or SAM job.", "start_time": 3674.4, "end_time": 3676.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 894, "text": "Hey, your job in this process is talk to the.", "raw_text": "Hey, your job in this process is talk to the.", "start_time": 3676.64, "end_time": 3679.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 895, "text": "Or maybe a good place to focus on is, are we doing a good handoff?", "raw_text": "Or maybe a good place to focus on is, are we doing a good handoff?", "start_time": 3679.84, "end_time": 3684.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 896, "text": "So as a fire starter, if I'm handing off the next project, I'm happy to sit there and interview it.", "raw_text": "So as a fire starter, if I'm handing off the next project, I'm happy to sit there and interview it.", "start_time": 3684.16, "end_time": 3689.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 897, "text": "And then we could do a postmortem with the PM and the manager on, like, how'd this go?", "raw_text": "And then we could do a postmortem with the PM and the manager on, like, how'd this go?", "start_time": 3689.36, "end_time": 3694.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 898, "text": "And, like, enforce consistency that way.", "raw_text": "And, like, enforce consistency that way.", "start_time": 3694.17, "end_time": 3696.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 899, "text": "I think that would be interesting.", "raw_text": "I think that would be interesting.", "start_time": 3696.57, "end_time": 3697.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 900, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3698.49, "end_time": 3699.05, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 901, "text": "Back to my slides here.", "raw_text": "Back to my slides here.", "start_time": 3705.13, "end_time": 3706.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 902, "text": "So what's the most actionable thing we can do as a next step?", "raw_text": "So what's the most actionable thing we can do as a next step?", "start_time": 3707.77, "end_time": 3710.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 903, "text": "That's a good question.", "raw_text": "That's a good question.", "start_time": 3711.53, "end_time": 3712.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 904, "text": "I started mapping these into.", "raw_text": "I started mapping these into.", "start_time": 3713.85, "end_time": 3715.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 905, "text": "We ran out of time, but I started mapping them back into our original four systems with the deal Intel, Project, Op, Biz Ops and Spark.", "raw_text": "We ran out of time, but I started mapping them back into our original four systems with the deal Intel, Project, Op, Biz Ops and Spark.", "start_time": 3717.22, "end_time": 3724.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 906, "text": "And that's where I think too.", "raw_text": "And that's where I think too.", "start_time": 3724.98, "end_time": 3726.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 907, "text": "The other thing is this Enterprise Personal and Build layer.", "raw_text": "The other thing is this Enterprise Personal and Build layer.", "start_time": 3727.14, "end_time": 3730.9, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 908, "text": "I think it's different for a lot of these.", "raw_text": "I think it's different for a lot of these.", "start_time": 3731.06, "end_time": 3733.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 909, "text": "So what can we build?", "raw_text": "So what can we build?", "start_time": 3733.94, "end_time": 3735.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 910, "text": "Is this Canonical pipeline or brief change order detection?", "raw_text": "Is this Canonical pipeline or brief change order detection?", "start_time": 3735.3, "end_time": 3739.62, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 911, "text": "I mean, honestly, the thing that's blocking us in most Regards is.", "raw_text": "I mean, honestly, the thing that's blocking us in most Regards is.", "start_time": 3739.78, "end_time": 3742.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 912, "text": "Is the business logic.", "raw_text": "Is the business logic.", "start_time": 3742.98, "end_time": 3744.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 913, "text": "So it's like walking through that more or just have it.", "raw_text": "So it's like walking through that more or just have it.", "start_time": 3744.5, "end_time": 3747.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 914, "text": "Maybe it's that blob spot or.", "raw_text": "Maybe it's that blob spot or.", "start_time": 3747.98, "end_time": 3749.62, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 915, "text": "Probably what we need to do is like, take each of these projects and define what's supposed to be in the enterprise personal and project layer and then run some type of pilot.", "raw_text": "Probably what we need to do is like, take each of these projects and define what's supposed to be in the enterprise personal and project layer and then run some type of pilot.", "start_time": 3749.7, "end_time": 3757.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 916, "text": "Yeah, I'd say OneDrive, Blob, whatever.", "raw_text": "Yeah, I'd say OneDrive, Blob, whatever.", "start_time": 3761.3, "end_time": 3765.94, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 917, "text": "Even, like, even if we start running automation.", "raw_text": "Even, like, even if we start running automation.", "start_time": 3766.9, "end_time": 3769.28, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 918, "text": "Like, I had that one POC that was doing change requests.", "raw_text": "Like, I had that one POC that was doing change requests.", "start_time": 3769.83, "end_time": 3772.55, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 919, "text": "Like, found where the change requests are.", "raw_text": "Like, found where the change requests are.", "start_time": 3774.07, "end_time": 3775.91, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 920, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3775.99, "end_time": 3776.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 921, "text": "I didn't have a good place to even, like, I had the actions in that, like, the output and the UI of, like, things that caught.", "raw_text": "I didn't have a good place to even, like, I had the actions in that, like, the output and the UI of, like, things that caught.", "start_time": 3776.55, "end_time": 3783.83, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 922, "text": "I didn't have anywhere that was like, I should dump all these things.", "raw_text": "I didn't have anywhere that was like, I should dump all these things.", "start_time": 3784.15, "end_time": 3787.75, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 923, "text": "Yeah, I mean, the most actionable one with.", "raw_text": "Yeah, I mean, the most actionable one with.", "start_time": 3787.99, "end_time": 3790.79, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 924, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 3792.39, "end_time": 3792.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 925, "text": "So maybe the most, like, functional thing with this group is like, take Sam's best workflows that he's producing those documents with, and then find a way for us to run that as like an enterprise level.", "raw_text": "So maybe the most, like, functional thing with this group is like, take Sam's best workflows that he's producing those documents with, and then find a way for us to run that as like an enterprise level.", "start_time": 3792.99, "end_time": 3803.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 926, "text": "So then, like, project managers and engineers can point at it.", "raw_text": "So then, like, project managers and engineers can point at it.", "start_time": 3803.72, "end_time": 3808.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 927, "text": "And Maybe that isn't OneDrive or Blob, or we store it in like a blob table and foundation, but I think that's the compiled truth pipeline.", "raw_text": "And Maybe that isn't OneDrive or Blob, or we store it in like a blob table and foundation, but I think that's the compiled truth pipeline.", "start_time": 3808.4, "end_time": 3816.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 928, "text": "I think that's what Claude's getting at here with this first bullet point.", "raw_text": "I think that's what Claude's getting at here with this first bullet point.", "start_time": 3816.28, "end_time": 3818.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 929, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3819.2, "end_time": 3819.56, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 930, "text": "Me getting the data coming through the Moreland mcp, like, to be like, what we need, I think is right.", "raw_text": "Me getting the data coming through the Moreland mcp, like, to be like, what we need, I think is right.", "start_time": 3819.56, "end_time": 3829.35, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 931, "text": "Well, I almost.", "raw_text": "Well, I almost.", "start_time": 3829.35, "end_time": 3829.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 932, "text": "I think right now it's pretty close, but it's getting fucked up with some shit.", "raw_text": "I think right now it's pretty close, but it's getting fucked up with some shit.", "start_time": 3829.95, "end_time": 3833.11, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 933, "text": "I also think we should have two MCPs or a way to, like, version control it where, like, I think there's the MCP you're using that has access to all the data, but I think we should have one that only has access to these, like, deliverables.", "raw_text": "I also think we should have two MCPs or a way to, like, version control it where, like, I think there's the MCP you're using that has access to all the data, but I think we should have one that only has access to these, like, deliverables.", "start_time": 3833.51, "end_time": 3844.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 934, "text": "Because, like, I think just having more stuff confuses the model and the people.", "raw_text": "Because, like, I think just having more stuff confuses the model and the people.", "start_time": 3844.23, "end_time": 3847.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 935, "text": "It's like, by the time we get to anyone outside this room, all they care about is the final thing.", "raw_text": "It's like, by the time we get to anyone outside this room, all they care about is the final thing.", "start_time": 3847.84, "end_time": 3852.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 936, "text": "Yeah, I guess so.", "raw_text": "Yeah, I guess so.", "start_time": 3852.96, "end_time": 3854.44, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 937, "text": "This is.", "raw_text": "This is.", "start_time": 3854.44, "end_time": 3854.88, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 938, "text": "I've struggled with this and when I think about number one there, I'm trying to think of, like, what is the.", "raw_text": "I've struggled with this and when I think about number one there, I'm trying to think of, like, what is the.", "start_time": 3854.88, "end_time": 3860.28, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 939, "text": "What is the most benefit that, you know, people that aren't me would have with the stuff I do versus a squad lead versus an engineer or whatever else.", "raw_text": "What is the most benefit that, you know, people that aren't me would have with the stuff I do versus a squad lead versus an engineer or whatever else.", "start_time": 3860.28, "end_time": 3869.44, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 940, "text": "And to me, getting that stuff in a place that is going to, in my mind would be how can we most accurately build out what goes on the linear boards?", "raw_text": "And to me, getting that stuff in a place that is going to, in my mind would be how can we most accurately build out what goes on the linear boards?", "start_time": 3869.44, "end_time": 3882.17, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 941, "text": "Because linear boards are what drive 90% of the work that we do or the people who should be doing the work.", "raw_text": "Because linear boards are what drive 90% of the work that we do or the people who should be doing the work.", "start_time": 3883.53, "end_time": 3889.53, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 942, "text": "So how do we take the transcripts, how do we take the arrangement letter?", "raw_text": "So how do we take the transcripts, how do we take the arrangement letter?", "start_time": 3890.01, "end_time": 3893.13, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 943, "text": "How do we take the context that we have and we know to accurately build the linear boards and keep them updated so that when we're handing something off or we're bringing a new developer in, it's like it's in linear.", "raw_text": "How do we take the context that we have and we know to accurately build the linear boards and keep them updated so that when we're handing something off or we're bringing a new developer in, it's like it's in linear.", "start_time": 3893.13, "end_time": 3907.3, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 944, "text": "You've got the details, you've got the work.", "raw_text": "You've got the details, you've got the work.", "start_time": 3907.46, "end_time": 3909.34, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 945, "text": "You can then wrap it into Sprint planning with your squad and go right and get, you know, and then take.", "raw_text": "You can then wrap it into Sprint planning with your squad and go right and get, you know, and then take.", "start_time": 3909.34, "end_time": 3917.94, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 946, "text": "Okay, we had a call with the customer.", "raw_text": "Okay, we had a call with the customer.", "start_time": 3917.94, "end_time": 3919.54, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 947, "text": "We need five new linear items out of the call.", "raw_text": "We need five new linear items out of the call.", "start_time": 3919.78, "end_time": 3922.74, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 948, "text": "We do have the customer.", "raw_text": "We do have the customer.", "start_time": 3922.74, "end_time": 3923.95, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 949, "text": "We're kind of doing that with safeguard and OD a bit.", "raw_text": "We're kind of doing that with safeguard and OD a bit.", "start_time": 3923.95, "end_time": 3928.75, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 950, "text": "But that to me seems like.", "raw_text": "But that to me seems like.", "start_time": 3928.83, "end_time": 3930.51, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 951, "text": "The.", "raw_text": "The.", "start_time": 3933.07, "end_time": 3933.47, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 952, "text": "Most bang for your buck initially because like half of what I do, people don't care about.", "raw_text": "Most bang for your buck initially because like half of what I do, people don't care about.", "start_time": 3934.51, "end_time": 3938.75, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 953, "text": "Yeah, I think what you do, what we need to provide to you is that that data is like always up to date and accurate.", "raw_text": "Yeah, I think what you do, what we need to provide to you is that that data is like always up to date and accurate.", "start_time": 3938.909, "end_time": 3947.07, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 954, "text": "And then you would make a live R artifact and that's the distribution.", "raw_text": "And then you would make a live R artifact and that's the distribution.", "start_time": 3947.31, "end_time": 3951.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 955, "text": "Once you share them like then.", "raw_text": "Once you share them like then.", "start_time": 3952.06, "end_time": 3954.3, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 956, "text": "Right, I agree.", "raw_text": "Right, I agree.", "start_time": 3954.3, "end_time": 3955.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 957, "text": "It just simplified.", "raw_text": "It just simplified.", "start_time": 3955.06, "end_time": 3955.9, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 958, "text": "Like you don't need to do that.", "raw_text": "Like you don't need to do that.", "start_time": 3955.98, "end_time": 3957.58, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 959, "text": "I think this is kind of like where I'm kind of like, I guess you could say PMing in a way on the Maroos thing of like we had that meeting and then I just manually used Claude.", "raw_text": "I think this is kind of like where I'm kind of like, I guess you could say PMing in a way on the Maroos thing of like we had that meeting and then I just manually used Claude.", "start_time": 3958.06, "end_time": 3966.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 960, "text": "I threw in the transcript and gave it some thoughts and then I got this recap out.", "raw_text": "I threw in the transcript and gave it some thoughts and then I got this recap out.", "start_time": 3966.98, "end_time": 3970.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 961, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3970.14, "end_time": 3970.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 962, "text": "But I still personally like, okay, this should triage because I had to edit it a little bit.", "raw_text": "But I still personally like, okay, this should triage because I had to edit it a little bit.", "start_time": 3970.5, "end_time": 3975.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 963, "text": "But then sharing with the team, like re and I like the format of like TLDR recap, individual bullets.", "raw_text": "But then sharing with the team, like re and I like the format of like TLDR recap, individual bullets.", "start_time": 3975.66, "end_time": 3981.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 964, "text": "And then like, because this, this message I think is good to digest because this TL doctor is for everyone.", "raw_text": "And then like, because this, this message I think is good to digest because this TL doctor is for everyone.", "start_time": 3981.82, "end_time": 3987.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 965, "text": "The recaps for everyone.", "raw_text": "The recaps for everyone.", "start_time": 3987.26, "end_time": 3988.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 966, "text": "But the UX findings, the business rules, the schema, the document storage, those are all like Ethan specific.", "raw_text": "But the UX findings, the business rules, the schema, the document storage, those are all like Ethan specific.", "start_time": 3988.54, "end_time": 3995.1, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 967, "text": "Right?", "raw_text": "Right?", "start_time": 3995.34, "end_time": 3995.74, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 968, "text": "Really the business rules.", "raw_text": "Really the business rules.", "start_time": 3996.22, "end_time": 3997.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 969, "text": "And right here, the open question, scope, creep and deliverables, those are, those are the things that matter for like a Doha or like a buzzy should instantly double check me.", "raw_text": "And right here, the open question, scope, creep and deliverables, those are, those are the things that matter for like a Doha or like a buzzy should instantly double check me.", "start_time": 3998.54, "end_time": 4009.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 970, "text": "And so then it's like, okay, I put this in and then we had a meeting to digest it.", "raw_text": "And so then it's like, okay, I put this in and then we had a meeting to digest it.", "start_time": 4009.51, "end_time": 4013.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 971, "text": "And then Ethan, I, I always kind of like, I struggle with linear personally because it's like, it seems like it's just like unnecessary middle step.", "raw_text": "And then Ethan, I, I always kind of like, I struggle with linear personally because it's like, it seems like it's just like unnecessary middle step.", "start_time": 4013.51, "end_time": 4021.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 972, "text": "Especially when I'm like individually doing something like I'll just tax.", "raw_text": "Especially when I'm like individually doing something like I'll just tax.", "start_time": 4021.23, "end_time": 4023.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 973, "text": "But it's that tax we talked about.", "raw_text": "But it's that tax we talked about.", "start_time": 4024.23, "end_time": 4025.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 974, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4025.79, "end_time": 4026.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 975, "text": "And I get, I am the same way.", "raw_text": "And I get, I am the same way.", "start_time": 4026.07, "end_time": 4027.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 976, "text": "Like I, I suck at it.", "raw_text": "Like I, I suck at it.", "start_time": 4027.69, "end_time": 4029.45, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 977, "text": "I suck at pretty much Every software tool.", "raw_text": "I suck at pretty much Every software tool.", "start_time": 4029.53, "end_time": 4031.53, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 978, "text": "It's like, I just want to build.", "raw_text": "It's like, I just want to build.", "start_time": 4031.85, "end_time": 4033.05, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 979, "text": "The thing we're supposed to use.", "raw_text": "The thing we're supposed to use.", "start_time": 4033.05, "end_time": 4034.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 980, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4034.57, "end_time": 4034.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 981, "text": "And I know, like, Ethan's kind of self.", "raw_text": "And I know, like, Ethan's kind of self.", "start_time": 4034.89, "end_time": 4036.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 982, "text": "That's where it's been.", "raw_text": "That's where it's been.", "start_time": 4036.21, "end_time": 4036.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 983, "text": "Ethan's like, self managing a linear board.", "raw_text": "Ethan's like, self managing a linear board.", "start_time": 4036.93, "end_time": 4038.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 984, "text": "I'm like, dude, touching this shit.", "raw_text": "I'm like, dude, touching this shit.", "start_time": 4038.53, "end_time": 4039.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 985, "text": "He's like, I got it.", "raw_text": "He's like, I got it.", "start_time": 4039.97, "end_time": 4040.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 986, "text": "Claude can do it.", "raw_text": "Claude can do it.", "start_time": 4040.89, "end_time": 4041.81, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 987, "text": "I mean, that's the thing.", "raw_text": "I mean, that's the thing.", "start_time": 4041.81, "end_time": 4042.49, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 988, "text": "If I get it, like, Murph built a skill to take the notes and push them in his linear.", "raw_text": "If I get it, like, Murph built a skill to take the notes and push them in his linear.", "start_time": 4042.49, "end_time": 4047.29, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 989, "text": "And I do something similar.", "raw_text": "And I do something similar.", "start_time": 4047.45, "end_time": 4048.57, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 990, "text": "But where I've got it now that my process will build a project schedule, and it'll use the linear items as the items in the project schedule.", "raw_text": "But where I've got it now that my process will build a project schedule, and it'll use the linear items as the items in the project schedule.", "start_time": 4048.57, "end_time": 4062.58, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 991, "text": "And so if someone picks it up and says, in progress, it says, we started that item five days early.", "raw_text": "And so if someone picks it up and says, in progress, it says, we started that item five days early.", "start_time": 4062.58, "end_time": 4068.58, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 992, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4068.74, "end_time": 4069.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 993, "text": "So it's like updating the project schedule the customer has access to.", "raw_text": "So it's like updating the project schedule the customer has access to.", "start_time": 4069.18, "end_time": 4072.5, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 994, "text": "And it's all automated from my perspective.", "raw_text": "And it's all automated from my perspective.", "start_time": 4072.82, "end_time": 4074.9, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 995, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4074.98, "end_time": 4075.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 996, "text": "Which is crazy compared to old school process.", "raw_text": "Which is crazy compared to old school process.", "start_time": 4075.38, "end_time": 4077.74, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 997, "text": "So you saw what I did with the.", "raw_text": "So you saw what I did with the.", "start_time": 4077.74, "end_time": 4079.14, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 998, "text": "The tickets I provided you for that safe essf.", "raw_text": "The tickets I provided you for that safe essf.", "start_time": 4080.28, "end_time": 4084.04, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 999, "text": "So Tobin provided this project schedule that we didn't even make, and it was just a PDF.", "raw_text": "So Tobin provided this project schedule that we didn't even make, and it was just a PDF.", "start_time": 4084.6, "end_time": 4089.96, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1000, "text": "And I got all the tickets and I was like, Gave me Tobin linear.", "raw_text": "And I got all the tickets and I was like, Gave me Tobin linear.", "start_time": 4090.12, "end_time": 4093.24, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1001, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4093.24, "end_time": 4093.52, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1002, "text": "And then he was like, well, here's my Gantt chart project thing.", "raw_text": "And then he was like, well, here's my Gantt chart project thing.", "start_time": 4093.52, "end_time": 4096.4, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1003, "text": "And it was like, I just asked.", "raw_text": "And it was like, I just asked.", "start_time": 4096.4, "end_time": 4099.08, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1004, "text": "I was like, I asked, you know, and I'm like, hey, he's saying, order benchmark, entry screen should be done this week.", "raw_text": "I was like, I asked, you know, and I'm like, hey, he's saying, order benchmark, entry screen should be done this week.", "start_time": 4099.16, "end_time": 4107.17, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1005, "text": "What tickets does that apply to it?", "raw_text": "What tickets does that apply to it?", "start_time": 4107.33, "end_time": 4109.65, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1006, "text": "Like, reverse process.", "raw_text": "Like, reverse process.", "start_time": 4109.65, "end_time": 4111.73, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1007, "text": "Is that what you guys work through yesterday?", "raw_text": "Is that what you guys work through yesterday?", "start_time": 4111.73, "end_time": 4113.25, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1008, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4113.25, "end_time": 4113.57, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1009, "text": "And then I was like, dragged.", "raw_text": "And then I was like, dragged.", "start_time": 4113.81, "end_time": 4115.97, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1010, "text": "I was like, put those all in, change the linear mcp, change those all to do.", "raw_text": "I was like, put those all in, change the linear mcp, change those all to do.", "start_time": 4115.97, "end_time": 4120.05, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1011, "text": "And that was kind of like what we were running off of.", "raw_text": "And that was kind of like what we were running off of.", "start_time": 4120.61, "end_time": 4123.13, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1012, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4123.13, "end_time": 4123.49, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1013, "text": "But.", "raw_text": "But.", "start_time": 4124.29, "end_time": 4124.61, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1014, "text": "Yeah, that's pretty cool.", "raw_text": "Yeah, that's pretty cool.", "start_time": 4124.61, "end_time": 4126.69, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1015, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4127.41, "end_time": 4127.77, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1016, "text": "I guess if I, like, if I were to look at this Maroos things like what I have on my personal level, it's like I have the statement of work, and then I have the meeting transcripts for every meeting we've had so far.", "raw_text": "I guess if I, like, if I were to look at this Maroos things like what I have on my personal level, it's like I have the statement of work, and then I have the meeting transcripts for every meeting we've had so far.", "start_time": 4127.77, "end_time": 4137.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1017, "text": "And then it's like, I then have this layer of like.", "raw_text": "And then it's like, I then have this layer of like.", "start_time": 4137.96, "end_time": 4141.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1018, "text": "Because it's all about, like, here's my full context.", "raw_text": "Because it's all about, like, here's my full context.", "start_time": 4141.64, "end_time": 4145.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1019, "text": "But then here's like my summary.", "raw_text": "But then here's like my summary.", "start_time": 4145.32, "end_time": 4146.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1020, "text": "Because I think what's most important is you should have the full length stored somewhere to always access.", "raw_text": "Because I think what's most important is you should have the full length stored somewhere to always access.", "start_time": 4146.84, "end_time": 4151.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1021, "text": "But then what's even more important is, like, the concise summaries.", "raw_text": "But then what's even more important is, like, the concise summaries.", "start_time": 4151.64, "end_time": 4154.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1022, "text": "So it's like, okay, I have a running list of like, here's our instance.", "raw_text": "So it's like, okay, I have a running list of like, here's our instance.", "start_time": 4154.36, "end_time": 4156.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1023, "text": "Internal, external, internal, external client, longer client meeting.", "raw_text": "Internal, external, internal, external client, longer client meeting.", "start_time": 4157, "end_time": 4160.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1024, "text": "And then I kind of pull those in one at a time.", "raw_text": "And then I kind of pull those in one at a time.", "start_time": 4160.76, "end_time": 4162.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1025, "text": "Because you Want to look for discrepancies and deltas there because those are like number one thing to check.", "raw_text": "Because you Want to look for discrepancies and deltas there because those are like number one thing to check.", "start_time": 4162.84, "end_time": 4167.4, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1026, "text": "And then okay, that's kind of like block one.", "raw_text": "And then okay, that's kind of like block one.", "start_time": 4167.8, "end_time": 4170.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1027, "text": "Then block two is kind of like the summary level.", "raw_text": "Then block two is kind of like the summary level.", "start_time": 4171, "end_time": 4173.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1028, "text": "Now that block two summary level, those are the things that I keep sending into Slack.", "raw_text": "Now that block two summary level, those are the things that I keep sending into Slack.", "start_time": 4173.16, "end_time": 4176.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1029, "text": "Like those are.", "raw_text": "Like those are.", "start_time": 4176.52, "end_time": 4177.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1030, "text": "Teams should sync on that.", "raw_text": "Teams should sync on that.", "start_time": 4177.16, "end_time": 4178.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1031, "text": "But then beyond that is, okay, well, those are being pulled.", "raw_text": "But then beyond that is, okay, well, those are being pulled.", "start_time": 4178.68, "end_time": 4182.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1032, "text": "So fireflies in.", "raw_text": "So fireflies in.", "start_time": 4182.52, "end_time": 4183.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1033, "text": "Then there's this like, bucket and I kind of like that bucket.", "raw_text": "Then there's this like, bucket and I kind of like that bucket.", "start_time": 4183.77, "end_time": 4186.17, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1034, "text": "That could be like a.", "raw_text": "That could be like a.", "start_time": 4186.17, "end_time": 4187.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1035, "text": "Like, if I were to build this out that I would share my team.", "raw_text": "Like, if I were to build this out that I would share my team.", "start_time": 4187.01, "end_time": 4189.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1036, "text": "It's like we have these automated steps, but each step has like a manual human can like see or approve.", "raw_text": "It's like we have these automated steps, but each step has like a manual human can like see or approve.", "start_time": 4189.69, "end_time": 4196.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1037, "text": "Kind of like how he had spark was like, here's the meeting transcript.", "raw_text": "Kind of like how he had spark was like, here's the meeting transcript.", "start_time": 4196.33, "end_time": 4198.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1038, "text": "But then if they'd be persistent, that'd be cool because I want to go back and add them.", "raw_text": "But then if they'd be persistent, that'd be cool because I want to go back and add them.", "start_time": 4198.97, "end_time": 4202.05, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1039, "text": "And then like reruns pipeline.", "raw_text": "And then like reruns pipeline.", "start_time": 4202.05, "end_time": 4203.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1040, "text": "And you could even run it like, because at the end of the day it's like we take a Firefly transcript, we parse it out into like actionable items that we need to like review.", "raw_text": "And you could even run it like, because at the end of the day it's like we take a Firefly transcript, we parse it out into like actionable items that we need to like review.", "start_time": 4203.61, "end_time": 4211.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1041, "text": "But then say it's like, okay, just assume you're good.", "raw_text": "But then say it's like, okay, just assume you're good.", "start_time": 4211.51, "end_time": 4213.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1042, "text": "Well, it should come out to like, PM update, project update Scope changes things you need to worry about with a client.", "raw_text": "Well, it should come out to like, PM update, project update Scope changes things you need to worry about with a client.", "start_time": 4213.75, "end_time": 4219.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1043, "text": "Then you should go to like things we need to build approve their linear tickets and then PRs and like, you could, you could technically you could set a pipeline up and just hit go and it could automate that.", "raw_text": "Then you should go to like things we need to build approve their linear tickets and then PRs and like, you could, you could technically you could set a pipeline up and just hit go and it could automate that.", "start_time": 4219.71, "end_time": 4229.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1044, "text": "And then if you wanted, anyone could pick up from any process.", "raw_text": "And then if you wanted, anyone could pick up from any process.", "start_time": 4230.15, "end_time": 4233.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1045, "text": "Because maybe that is something like if we took tokens out of it, I would have it do every step every time.", "raw_text": "Because maybe that is something like if we took tokens out of it, I would have it do every step every time.", "start_time": 4233.35, "end_time": 4237.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1046, "text": "Then I would go back in the pipeline.", "raw_text": "Then I would go back in the pipeline.", "start_time": 4238.05, "end_time": 4240.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1047, "text": "I do think it's one of those things.", "raw_text": "I do think it's one of those things.", "start_time": 4240.01, "end_time": 4241.21, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1048, "text": "It's like.", "raw_text": "It's like.", "start_time": 4241.21, "end_time": 4241.81, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1049, "text": "And I think it's different by person and it's different by task.", "raw_text": "And I think it's different by person and it's different by task.", "start_time": 4242.37, "end_time": 4245.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1050, "text": "There's some things where I would just like, want access to the raw data and own it.", "raw_text": "There's some things where I would just like, want access to the raw data and own it.", "start_time": 4245.81, "end_time": 4251.01, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1051, "text": "And like, maybe it's some prompts or training, but like, I get value out of like asking it about the transcript and then look and then asking it to review and double check the.", "raw_text": "And like, maybe it's some prompts or training, but like, I get value out of like asking it about the transcript and then look and then asking it to review and double check the.", "start_time": 4251.01, "end_time": 4264.86, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1052, "text": "The arrangement letter and then like me co authoring the linear tickets together.", "raw_text": "The arrangement letter and then like me co authoring the linear tickets together.", "start_time": 4264.94, "end_time": 4270.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1053, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4270.7, "end_time": 4271.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1054, "text": "Whereas, like, if I just got like a list of linear tickets to review, I would probably backtrack and do those same things anyway.", "raw_text": "Whereas, like, if I just got like a list of linear tickets to review, I would probably backtrack and do those same things anyway.", "start_time": 4271.34, "end_time": 4277.58, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1055, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4277.98, "end_time": 4278.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1056, "text": "That's where I think it's hard.", "raw_text": "That's where I think it's hard.", "start_time": 4278.94, "end_time": 4280.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1057, "text": "And I think some people want a toolkit.", "raw_text": "And I think some people want a toolkit.", "start_time": 4280.06, "end_time": 4283.42, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1058, "text": "Some people want like an opinionated app on Rails.", "raw_text": "Some people want like an opinionated app on Rails.", "start_time": 4283.42, "end_time": 4285.98, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1059, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4286.06, "end_time": 4286.46, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1060, "text": "Or like automation.", "raw_text": "Or like automation.", "start_time": 4286.46, "end_time": 4289.03, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1061, "text": "I know.", "raw_text": "I know.", "start_time": 4290.63, "end_time": 4291.07, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1062, "text": "I'm like being real I'm being very wishy washy on this, but I think it's a hard.", "raw_text": "I'm like being real I'm being very wishy washy on this, but I think it's a hard.", "start_time": 4291.07, "end_time": 4295.51, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1063, "text": "I think it's like very nuanced thing.", "raw_text": "I think it's like very nuanced thing.", "start_time": 4296.07, "end_time": 4297.99, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1064, "text": "The automation sound good in theory, but I'm doing a lot of thinking on it.", "raw_text": "The automation sound good in theory, but I'm doing a lot of thinking on it.", "start_time": 4298.87, "end_time": 4302.11, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1065, "text": "I'm like, would I want that?", "raw_text": "I'm like, would I want that?", "start_time": 4302.11, "end_time": 4303.59, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1066, "text": "You know, still need to expert.", "raw_text": "You know, still need to expert.", "start_time": 4303.83, "end_time": 4305.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1067, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4305.67, "end_time": 4306.15, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1068, "text": "Doing the work.", "raw_text": "Doing the work.", "start_time": 4308.07, "end_time": 4308.95, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1069, "text": "Right.", "raw_text": "Right.", "start_time": 4308.95, "end_time": 4309.35, "speaker_id": 1, "speaker_name": "Mark Murphy"}, {"index": 1070, "text": "You're doing less work.", "raw_text": "You're doing less work.", "start_time": 4309.51, "end_time": 4310.51, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1071, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4310.51, "end_time": 4310.87, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1072, "text": "Because you're like your prompting stuff.", "raw_text": "Because you're like your prompting stuff.", "start_time": 4310.87, "end_time": 4313.35, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1073, "text": "Right.", "raw_text": "Right.", "start_time": 4313.35, "end_time": 4313.47, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1074, "text": "But like how you feel like you're engaged and you're on it and like, whereas, like, if I'm just giving, like for instance, I never freaking look at the fireflies summaries.", "raw_text": "But like how you feel like you're engaged and you're on it and like, whereas, like, if I'm just giving, like for instance, I never freaking look at the fireflies summaries.", "start_time": 4313.47, "end_time": 4323.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1075, "text": "Oh, no, those suck.", "raw_text": "Oh, no, those suck.", "start_time": 4323.66, "end_time": 4324.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1076, "text": "Those are terrible.", "raw_text": "Those are terrible.", "start_time": 4324.86, "end_time": 4325.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1077, "text": "But you know, like, what.", "raw_text": "But you know, like, what.", "start_time": 4325.9, "end_time": 4328.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1078, "text": "What's to say that our summaries coming out of something.", "raw_text": "What's to say that our summaries coming out of something.", "start_time": 4328.46, "end_time": 4331.14, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1079, "text": "People wouldn't think the same thing.", "raw_text": "People wouldn't think the same thing.", "start_time": 4331.14, "end_time": 4332.58, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1080, "text": "Maybe that's just human nature.", "raw_text": "Maybe that's just human nature.", "start_time": 4332.58, "end_time": 4333.82, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1081, "text": "Like, I'm not gonna trust summaries.", "raw_text": "Like, I'm not gonna trust summaries.", "start_time": 4333.82, "end_time": 4335.62, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1082, "text": "I have to like, because I will never listen to it until I whisper flow in my thoughts.", "raw_text": "I have to like, because I will never listen to it until I whisper flow in my thoughts.", "start_time": 4335.62, "end_time": 4339.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1083, "text": "That agenda, it could not make that agenda because I told it to make an agenda.", "raw_text": "That agenda, it could not make that agenda because I told it to make an agenda.", "start_time": 4339.67, "end_time": 4343.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1084, "text": "The agenda sucked.", "raw_text": "The agenda sucked.", "start_time": 4343.87, "end_time": 4344.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1085, "text": "And then I was like, actually this is what we found.", "raw_text": "And then I was like, actually this is what we found.", "start_time": 4344.83, "end_time": 4347.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1086, "text": "And then explained it.", "raw_text": "And then explained it.", "start_time": 4347.51, "end_time": 4348.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1087, "text": "And then in between that agenda was I said, give me every claim from the stakeholders in the meeting.", "raw_text": "And then in between that agenda was I said, give me every claim from the stakeholders in the meeting.", "start_time": 4348.91, "end_time": 4354.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1088, "text": "And I want to give you different weights because what Tabitha said should be at a different level than what Sean said.", "raw_text": "And I want to give you different weights because what Tabitha said should be at a different level than what Sean said.", "start_time": 4354.95, "end_time": 4360.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1089, "text": "And then what I said when I was like the key phrase because I really was like, like I would say, so let me summarize what I'm hearing for you.", "raw_text": "And then what I said when I was like the key phrase because I really was like, like I would say, so let me summarize what I'm hearing for you.", "start_time": 4360.07, "end_time": 4367.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1090, "text": "Tell me if I'm correct.", "raw_text": "Tell me if I'm correct.", "start_time": 4367.65, "end_time": 4368.69, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1091, "text": "Then I would state something and then we'd say yes or no.", "raw_text": "Then I would state something and then we'd say yes or no.", "start_time": 4368.69, "end_time": 4371.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1092, "text": "Every time that I did that.", "raw_text": "Every time that I did that.", "start_time": 4371.89, "end_time": 4373.33, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1093, "text": "And then they said yes.", "raw_text": "And then they said yes.", "start_time": 4373.33, "end_time": 4374.61, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1094, "text": "Golden data.", "raw_text": "Golden data.", "start_time": 4374.69, "end_time": 4375.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1095, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4375.49, "end_time": 4376.01, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1096, "text": "Every time I didn't.", "raw_text": "Every time I didn't.", "start_time": 4376.01, "end_time": 4376.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1097, "text": "We know we missed.", "raw_text": "We know we missed.", "start_time": 4376.97, "end_time": 4377.89, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1098, "text": "And it's like, without the context, it wouldn't know that.", "raw_text": "And it's like, without the context, it wouldn't know that.", "start_time": 4377.89, "end_time": 4380.37, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1099, "text": "But that's the thing too of like, you can get a really good system if you follow a specific speaking pattern and you teach it.", "raw_text": "But that's the thing too of like, you can get a really good system if you follow a specific speaking pattern and you teach it.", "start_time": 4380.45, "end_time": 4386.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1100, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4386.85, "end_time": 4387.17, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1101, "text": "But it was funny how this is pretty interesting.", "raw_text": "But it was funny how this is pretty interesting.", "start_time": 4387.17, "end_time": 4388.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1102, "text": "I never thought about that.", "raw_text": "I never thought about that.", "start_time": 4388.85, "end_time": 4390.01, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1103, "text": "I was just thinking to Chris Boss's podcast, the negotiator guy, and he's like, every time you get a.", "raw_text": "I was just thinking to Chris Boss's podcast, the negotiator guy, and he's like, every time you get a.", "start_time": 4390.01, "end_time": 4393.86, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1104, "text": "That's right.", "raw_text": "That's right.", "start_time": 4393.86, "end_time": 4394.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1105, "text": "Like you're closer.", "raw_text": "Like you're closer.", "start_time": 4394.42, "end_time": 4395.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1106, "text": "So I just keep trying to like state in plain text, this is what you want built.", "raw_text": "So I just keep trying to like state in plain text, this is what you want built.", "start_time": 4395.14, "end_time": 4399.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1107, "text": "And they be.", "raw_text": "And they be.", "start_time": 4399.26, "end_time": 4399.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1108, "text": "They're like, no or yes.", "raw_text": "They're like, no or yes.", "start_time": 4399.78, "end_time": 4400.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1109, "text": "And then when they be like, yes and like Ethan, like, that's what you're doing.", "raw_text": "And then when they be like, yes and like Ethan, like, that's what you're doing.", "start_time": 4400.66, "end_time": 4403.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1110, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4403.06, "end_time": 4403.5, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1111, "text": "And like, that's like, that's gold.", "raw_text": "And like, that's like, that's gold.", "start_time": 4403.5, "end_time": 4404.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1112, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4405.1, "end_time": 4405.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1113, "text": "Probably going to wrap it up or you going to have some.", "raw_text": "Probably going to wrap it up or you going to have some.", "start_time": 4411.5, "end_time": 4413.9, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1114, "text": "I think.", "raw_text": "I think.", "start_time": 4414.78, "end_time": 4415.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1115, "text": "Well, I Feel like if we have.", "raw_text": "Well, I Feel like if we have.", "start_time": 4415.18, "end_time": 4416.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1116, "text": "On draw stuff, they're cooking steaks out there.", "raw_text": "On draw stuff, they're cooking steaks out there.", "start_time": 4417.77, "end_time": 4421.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1117, "text": "I think.", "raw_text": "I think.", "start_time": 4421.89, "end_time": 4422.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1118, "text": "Firefly.", "raw_text": "Firefly.", "start_time": 4424.89, "end_time": 4425.57, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1119, "text": "I think Fireflies.", "raw_text": "I think Fireflies.", "start_time": 4425.57, "end_time": 4426.41, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1120, "text": "Fireflies.", "raw_text": "Fireflies.", "start_time": 4427.77, "end_time": 4428.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1121, "text": "Which we should get rid of, by the way.", "raw_text": "Which we should get rid of, by the way.", "start_time": 4430.17, "end_time": 4432.01, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1122, "text": "Firefly.", "raw_text": "Firefly.", "start_time": 4432.41, "end_time": 4433.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1123, "text": "So apparently you can now at the org level, force teams to do transcriptions on meetings.", "raw_text": "So apparently you can now at the org level, force teams to do transcriptions on meetings.", "start_time": 4433.01, "end_time": 4439.29, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1124, "text": "Force team.", "raw_text": "Force team.", "start_time": 4440.41, "end_time": 4441.09, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1125, "text": "Oh, can you?", "raw_text": "Oh, can you?", "start_time": 4441.09, "end_time": 4441.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1126, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4442.02, "end_time": 4442.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1127, "text": "So if we could do that, we could totally get rid of Fireflies.", "raw_text": "So if we could do that, we could totally get rid of Fireflies.", "start_time": 4442.9, "end_time": 4445.5, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1128, "text": "Because then we could just get through another.", "raw_text": "Because then we could just get through another.", "start_time": 4445.5, "end_time": 4447.38, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1129, "text": "Oh, another thing we do is go to granola.", "raw_text": "Oh, another thing we do is go to granola.", "start_time": 4448.9, "end_time": 4451.86, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1130, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4451.86, "end_time": 4452.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1131, "text": "The other thing was if the.", "raw_text": "The other thing was if the.", "start_time": 4452.42, "end_time": 4454.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1132, "text": "The.", "raw_text": "The.", "start_time": 4454.5, "end_time": 4454.86, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1133, "text": "Our partner companies hosting meeting Fireflies can join in.", "raw_text": "Our partner companies hosting meeting Fireflies can join in.", "start_time": 4454.86, "end_time": 4458.179, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1134, "text": "Right.", "raw_text": "Right.", "start_time": 4458.5, "end_time": 4458.82, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1135, "text": "But teams can't.", "raw_text": "But teams can't.", "start_time": 4458.82, "end_time": 4459.7, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1136, "text": "But like, some people are still like, Signet doesn't allow Fireflies on their calls.", "raw_text": "But like, some people are still like, Signet doesn't allow Fireflies on their calls.", "start_time": 4459.7, "end_time": 4463.42, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1137, "text": "But if we have granola, they don't know.", "raw_text": "But if we have granola, they don't know.", "start_time": 4463.42, "end_time": 4464.98, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1138, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4465.14, "end_time": 4465.5, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1139, "text": "Because it's all on our side.", "raw_text": "Because it's all on our side.", "start_time": 4465.5, "end_time": 4466.66, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1140, "text": "You can do that fire Firefly with the app.", "raw_text": "You can do that fire Firefly with the app.", "start_time": 4466.66, "end_time": 4469.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1141, "text": "Okay.", "raw_text": "Okay.", "start_time": 4469.42, "end_time": 4469.94, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1142, "text": "Well, you just put your phone.", "raw_text": "Well, you just put your phone.", "start_time": 4469.94, "end_time": 4471.06, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1143, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4471.06, "end_time": 4471.3, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1144, "text": "Next to it.", "raw_text": "Next to it.", "start_time": 4471.3, "end_time": 4471.9, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1145, "text": "It does.", "raw_text": "It does.", "start_time": 4472.06, "end_time": 4472.62, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1146, "text": "It doesn't pick up the speakers very well.", "raw_text": "It doesn't pick up the speakers very well.", "start_time": 4472.62, "end_time": 4474.62, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1147, "text": "Yeah, that's what I'm saying.", "raw_text": "Yeah, that's what I'm saying.", "start_time": 4474.62, "end_time": 4475.7, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1148, "text": "Like, granola apparently does really good at that and they don't know that it's listening.", "raw_text": "Like, granola apparently does really good at that and they don't know that it's listening.", "start_time": 4475.7, "end_time": 4481.86, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1149, "text": "I also saw.", "raw_text": "I also saw.", "start_time": 4481.86, "end_time": 4482.66, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1150, "text": "Have you seen those things that they had, those little quarters that stick on your phone?", "raw_text": "Have you seen those things that they had, those little quarters that stick on your phone?", "start_time": 4482.66, "end_time": 4486.46, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1151, "text": "What was the one?", "raw_text": "What was the one?", "start_time": 4487.9, "end_time": 4489.26, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1152, "text": "Yeah, they had a bunch of them where like tax conversation.", "raw_text": "Yeah, they had a bunch of them where like tax conversation.", "start_time": 4489.26, "end_time": 4491.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1153, "text": "Yeah, just a little.", "raw_text": "Yeah, just a little.", "start_time": 4491.98, "end_time": 4493.02, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1154, "text": "Looks like a credit card, but it's just a recorder.", "raw_text": "Looks like a credit card, but it's just a recorder.", "start_time": 4493.35, "end_time": 4496.07, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1155, "text": "You just hit it and it records.", "raw_text": "You just hit it and it records.", "start_time": 4496.07, "end_time": 4497.31, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1156, "text": "But you can.", "raw_text": "But you can.", "start_time": 4497.31, "end_time": 4497.87, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1157, "text": "It like magnetizes to your phone so it can hear what's being said on the other.", "raw_text": "It like magnetizes to your phone so it can hear what's being said on the other.", "start_time": 4497.87, "end_time": 4502.47, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1158, "text": "Other line.", "raw_text": "Other line.", "start_time": 4502.55, "end_time": 4503.23, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1159, "text": "Oh, wow.", "raw_text": "Oh, wow.", "start_time": 4503.23, "end_time": 4503.91, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1160, "text": "So it's like a super cool recorder, but it's.", "raw_text": "So it's like a super cool recorder, but it's.", "start_time": 4504.15, "end_time": 4508.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1161, "text": "It's got like fireflies built in or whatever.", "raw_text": "It's got like fireflies built in or whatever.", "start_time": 4508.27, "end_time": 4510.39, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1162, "text": "It'll send you a summary and stuff like.", "raw_text": "It'll send you a summary and stuff like.", "start_time": 4510.39, "end_time": 4511.95, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1163, "text": "I don't care.", "raw_text": "I don't care.", "start_time": 4511.95, "end_time": 4512.27, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1164, "text": "I just want the transcript.", "raw_text": "I just want the transcript.", "start_time": 4512.27, "end_time": 4513.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1165, "text": "Right?", "raw_text": "Right?", "start_time": 4513.31, "end_time": 4513.55, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1166, "text": "Yeah, just give me the trans.", "raw_text": "Yeah, just give me the trans.", "start_time": 4513.55, "end_time": 4514.47, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1167, "text": "Yeah, Plots.", "raw_text": "Yeah, Plots.", "start_time": 4537.12, "end_time": 4537.92, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1168, "text": "There's other ones too, but it just looks like a really super small thing.", "raw_text": "There's other ones too, but it just looks like a really super small thing.", "start_time": 4538.32, "end_time": 4541.76, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1169, "text": "So it'll just be a voice recorder when you turn it on by default.", "raw_text": "So it'll just be a voice recorder when you turn it on by default.", "start_time": 4542.48, "end_time": 4545.61, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1170, "text": "But then you can also stick it on their tongue and it'll pick up the speaker.", "raw_text": "But then you can also stick it on their tongue and it'll pick up the speaker.", "start_time": 4545.61, "end_time": 4548.97, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1171, "text": "That's pretty sweet.", "raw_text": "That's pretty sweet.", "start_time": 4549.37, "end_time": 4550.25, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1172, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4550.25, "end_time": 4550.65, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1173, "text": "I'm telling.", "raw_text": "I'm telling.", "start_time": 4564.89, "end_time": 4565.69, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1174, "text": "This AI is combined.", "raw_text": "This AI is combined.", "start_time": 4568.09, "end_time": 4569.45, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1175, "text": "I was These projects.", "raw_text": "I was These projects.", "start_time": 4569.45, "end_time": 4570.46, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1176, "text": "We'll see how it goes.", "raw_text": "We'll see how it goes.", "start_time": 4570.46, "end_time": 4571.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1177, "text": "I just told it done.", "raw_text": "I just told it done.", "start_time": 4572.26, "end_time": 4573.3, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1178, "text": "Like I had.", "raw_text": "Like I had.", "start_time": 4573.38, "end_time": 4574.1, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1179, "text": "I had it undo that for OD too.", "raw_text": "I had it undo that for OD too.", "start_time": 4574.1, "end_time": 4576.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1180, "text": "OD had a different issue because it was pulling in all sales meetings, but.", "raw_text": "OD had a different issue because it was pulling in all sales meetings, but.", "start_time": 4577.14, "end_time": 4581.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1181, "text": "All right, keep going.", "raw_text": "All right, keep going.", "start_time": 4586.34, "end_time": 4587.58, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1182, "text": "Happy.", "raw_text": "Happy.", "start_time": 4587.58, "end_time": 4588.18, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1183, "text": "This flowchart got disgusting, but I feel like this helps with the flow.", "raw_text": "This flowchart got disgusting, but I feel like this helps with the flow.", "start_time": 4591.86, "end_time": 4595.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1184, "text": "Oh, this.", "raw_text": "Oh, this.", "start_time": 4595.31, "end_time": 4597.95, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1185, "text": "This picture is just so freaking weird.", "raw_text": "This picture is just so freaking weird.", "start_time": 4597.95, "end_time": 4600.35, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1186, "text": "I know.", "raw_text": "I know.", "start_time": 4601.63, "end_time": 4602.19, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1187, "text": "They're wild.", "raw_text": "They're wild.", "start_time": 4602.67, "end_time": 4603.35, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1188, "text": "I put a. I should have put.", "raw_text": "I put a. I should have put.", "start_time": 4603.35, "end_time": 4604.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1189, "text": "It in the main chat.", "raw_text": "It in the main chat.", "start_time": 4604.51, "end_time": 4605.15, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1190, "text": "Oh, that's Hilarious.", "raw_text": "Oh, that's Hilarious.", "start_time": 4605.15, "end_time": 4606.11, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1191, "text": "They were all pissed off cuz the Perkins didn't give him the right amount of.", "raw_text": "They were all pissed off cuz the Perkins didn't give him the right amount of.", "start_time": 4608.43, "end_time": 4612.27, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1192, "text": "Yeah, I know, it's like ungrateful bastards what I was imagining.", "raw_text": "Yeah, I know, it's like ungrateful bastards what I was imagining.", "start_time": 4612.43, "end_time": 4616.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1193, "text": "Pretend this is better organized but essentially we need like a dynamic pipeline where it'd be sweet if you could basically just circle like this and be like run where you could choose or you could circle the whole thing and be like run.", "raw_text": "Pretend this is better organized but essentially we need like a dynamic pipeline where it'd be sweet if you could basically just circle like this and be like run where you could choose or you could circle the whole thing and be like run.", "start_time": 4617.07, "end_time": 4631.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1194, "text": "I'll explain it first.", "raw_text": "I'll explain it first.", "start_time": 4632.28, "end_time": 4633.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1195, "text": "But essentially say we have our thing that prompts us off.", "raw_text": "But essentially say we have our thing that prompts us off.", "start_time": 4633.28, "end_time": 4636.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1196, "text": "We have Firefly transcripts.", "raw_text": "We have Firefly transcripts.", "start_time": 4636.28, "end_time": 4637.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1197, "text": "Well they should go somewhere to a meeting, chatter data.", "raw_text": "Well they should go somewhere to a meeting, chatter data.", "start_time": 4637.96, "end_time": 4640.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1198, "text": "So this is like a blob but you can add in user context.", "raw_text": "So this is like a blob but you can add in user context.", "start_time": 4640.88, "end_time": 4643.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1199, "text": "So maybe this is like a screen.", "raw_text": "So maybe this is like a screen.", "start_time": 4644.28, "end_time": 4646.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1200, "text": "But essentially, essentially we should have like a one way flow where we have fireflies and it's probably organized by like clients and meetings and then here is data where we can add like transcripts, notes, summaries.", "raw_text": "But essentially, essentially we should have like a one way flow where we have fireflies and it's probably organized by like clients and meetings and then here is data where we can add like transcripts, notes, summaries.", "start_time": 4646.04, "end_time": 4656.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1201, "text": "That's like where that lives.", "raw_text": "That's like where that lives.", "start_time": 4656.96, "end_time": 4658.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1202, "text": "Screens really do help.", "raw_text": "Screens really do help.", "start_time": 4658.32, "end_time": 4659.6, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1203, "text": "Yeah, we're coming full circle like apps and shit.", "raw_text": "Yeah, we're coming full circle like apps and shit.", "start_time": 4660, "end_time": 4663.8, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1204, "text": "It's like actually keep people somewhere on the rails.", "raw_text": "It's like actually keep people somewhere on the rails.", "start_time": 4663.8, "end_time": 4666.68, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1205, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 4666.68, "end_time": 4667.2, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1206, "text": "So it's like okay, these, that's where I'm have to come back and color.", "raw_text": "So it's like okay, these, that's where I'm have to come back and color.", "start_time": 4667.84, "end_time": 4670.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1207, "text": "Well I think I would love if like those lime artists effects can get there because then you could just like.", "raw_text": "Well I think I would love if like those lime artists effects can get there because then you could just like.", "start_time": 4670.72, "end_time": 4675.16, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1208, "text": "Yeah, they could be like custom but.", "raw_text": "Yeah, they could be like custom but.", "start_time": 4675.16, "end_time": 4678.68, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1209, "text": "That's what I feel like that's what.", "raw_text": "That's what I feel like that's what.", "start_time": 4678.68, "end_time": 4680.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1210, "text": "We were trying to do six months ago.", "raw_text": "We were trying to do six months ago.", "start_time": 4680.64, "end_time": 4682.56, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1211, "text": "We were ahead of the curve.", "raw_text": "We were ahead of the curve.", "start_time": 4682.56, "end_time": 4683.68, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1212, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4683.68, "end_time": 4684.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1213, "text": "And I think it's like we got to build these as little blocks because like in the end you should be able to go from here to here and you run it and you're just.", "raw_text": "And I think it's like we got to build these as little blocks because like in the end you should be able to go from here to here and you run it and you're just.", "start_time": 4684.04, "end_time": 4691.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1214, "text": "Yeah, self serve software.", "raw_text": "Yeah, self serve software.", "start_time": 4691.28, "end_time": 4692.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1215, "text": "But we know that our expert analysis is adding these in.", "raw_text": "But we know that our expert analysis is adding these in.", "start_time": 4692.96, "end_time": 4696.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1216, "text": "So it's like okay, well you're going to from fire because if you try to go from Fireflies to team updates.", "raw_text": "So it's like okay, well you're going to from fire because if you try to go from Fireflies to team updates.", "start_time": 4696.8, "end_time": 4703, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1217, "text": "Well it's not going to work.", "raw_text": "Well it's not going to work.", "start_time": 4703, "end_time": 4704.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1218, "text": "But if you kind of triage it where okay, I get this Firefly and then upload it to the same spot as soon as the meeting's done.", "raw_text": "But if you kind of triage it where okay, I get this Firefly and then upload it to the same spot as soon as the meeting's done.", "start_time": 4704.2, "end_time": 4711.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1219, "text": "Like you know we always have those post calls.", "raw_text": "Like you know we always have those post calls.", "start_time": 4712.04, "end_time": 4713.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1220, "text": "Well it should get the Firefly transcript.", "raw_text": "Well it should get the Firefly transcript.", "start_time": 4713.96, "end_time": 4715.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1221, "text": "Then I should just record.", "raw_text": "Then I should just record.", "start_time": 4715.8, "end_time": 4716.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1222, "text": "Well here's what I observed from the meeting and those two things together are going to get pretty close because that's all my number one.", "raw_text": "Well here's what I observed from the meeting and those two things together are going to get pretty close because that's all my number one.", "start_time": 4716.92, "end_time": 4722.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1223, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4722.68, "end_time": 4723.12, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1224, "text": "So it's like if we're putting those.", "raw_text": "So it's like if we're putting those.", "start_time": 4723.12, "end_time": 4724.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1225, "text": "And then there should be a document here where there's like subfolders for.", "raw_text": "And then there should be a document here where there's like subfolders for.", "start_time": 4724.94, "end_time": 4727.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1226, "text": "Here's the raw transcripts, here's the user notes and then here's like the summaries that they compile and then you could prioritize it like this is better than this, which is better than that.", "raw_text": "Here's the raw transcripts, here's the user notes and then here's like the summaries that they compile and then you could prioritize it like this is better than this, which is better than that.", "start_time": 4727.98, "end_time": 4735.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1227, "text": "But like you have it saved.", "raw_text": "But like you have it saved.", "start_time": 4736.06, "end_time": 4737.42, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1228, "text": "But then right here, like this output, this would be like a screen.", "raw_text": "But then right here, like this output, this would be like a screen.", "start_time": 4737.5, "end_time": 4742.26, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1229, "text": "This could be where you pull it into an FCP or like someone approves these tickets or approves a deliverable.", "raw_text": "This could be where you pull it into an FCP or like someone approves these tickets or approves a deliverable.", "start_time": 4742.26, "end_time": 4747.34, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1230, "text": "You can have like here's the automated version or let me iterate.", "raw_text": "You can have like here's the automated version or let me iterate.", "start_time": 4747.42, "end_time": 4750.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1231, "text": "So then you sign off and once this is confirmed, you split off into two things.", "raw_text": "So then you sign off and once this is confirmed, you split off into two things.", "start_time": 4750.71, "end_time": 4754.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1232, "text": "There's like the PM side which then maybe you want to pull and Toggle or QuickBooks but you're trying to get like a Gantt chart, maybe change orders and track the profitability.", "raw_text": "There's like the PM side which then maybe you want to pull and Toggle or QuickBooks but you're trying to get like a Gantt chart, maybe change orders and track the profitability.", "start_time": 4754.47, "end_time": 4761.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1233, "text": "And then on the dev side you want a task list, but you're going to need to approve this task list too.", "raw_text": "And then on the dev side you want a task list, but you're going to need to approve this task list too.", "start_time": 4762.23, "end_time": 4766.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1234, "text": "So this should go to another screen where it's like here's your tickets.", "raw_text": "So this should go to another screen where it's like here's your tickets.", "start_time": 4766.59, "end_time": 4769.27, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1235, "text": "But here you should be able to give in user context too because normally after a meeting I could go, well here's all the tickets and the conversation you and I have about like here's what we should do.", "raw_text": "But here you should be able to give in user context too because normally after a meeting I could go, well here's all the tickets and the conversation you and I have about like here's what we should do.", "start_time": 4769.43, "end_time": 4778.12, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1236, "text": "Infinitely more useful to me than tickets ever.", "raw_text": "Infinitely more useful to me than tickets ever.", "start_time": 4778.36, "end_time": 4780.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1237, "text": "But we just record that and then put them into the tickets.", "raw_text": "But we just record that and then put them into the tickets.", "start_time": 4780.84, "end_time": 4783.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1238, "text": "Well as soon as they're approved there you could essentially go straight from tickets to linear and pr.", "raw_text": "Well as soon as they're approved there you could essentially go straight from tickets to linear and pr.", "start_time": 4783.72, "end_time": 4788, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1239, "text": "Because normally our tickets are detailed enough, you could just go to prs.", "raw_text": "Because normally our tickets are detailed enough, you could just go to prs.", "start_time": 4788, "end_time": 4790.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1240, "text": "And then in reality our devs should start like this is dev.", "raw_text": "And then in reality our devs should start like this is dev.", "start_time": 4791.08, "end_time": 4796.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1241, "text": "Like this is where they should start.", "raw_text": "Like this is where they should start.", "start_time": 4797.08, "end_time": 4798.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1242, "text": "They should start at the prs because like what I've been realizing with my Claude code, remote flow and like what they're doing at Anthropic in these big companies, who needs to tell it what to do for the PRs, the tickets should have just be off.", "raw_text": "They should start at the prs because like what I've been realizing with my Claude code, remote flow and like what they're doing at Anthropic in these big companies, who needs to tell it what to do for the PRs, the tickets should have just be off.", "start_time": 4798.36, "end_time": 4809, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1243, "text": "All our tickets should be sitting as PRs and our devs should just be managing and merging PRs all day.", "raw_text": "All our tickets should be sitting as PRs and our devs should just be managing and merging PRs all day.", "start_time": 4809.16, "end_time": 4814.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1244, "text": "Yeah, so it's like we need to find a way to get this to the depth.", "raw_text": "Yeah, so it's like we need to find a way to get this to the depth.", "start_time": 4814.88, "end_time": 4819.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1245, "text": "Is it the linear have a way to do or do we still go through like our assigned to Spark or is linear natively?", "raw_text": "Is it the linear have a way to do or do we still go through like our assigned to Spark or is linear natively?", "start_time": 4820.12, "end_time": 4825.96, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1246, "text": "Like that's why I skip linear.", "raw_text": "Like that's why I skip linear.", "start_time": 4825.96, "end_time": 4827.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1247, "text": "I just, I just go, I go like you and I, we go tickets to clock code.", "raw_text": "I just, I just go, I go like you and I, we go tickets to clock code.", "start_time": 4827.96, "end_time": 4833.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1248, "text": "Like this is just like the linear.", "raw_text": "Like this is just like the linear.", "start_time": 4833.71, "end_time": 4835.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1249, "text": "Maybe it helps for like people to be on there.", "raw_text": "Maybe it helps for like people to be on there.", "start_time": 4835.23, "end_time": 4837.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1250, "text": "But that's the thing.", "raw_text": "But that's the thing.", "start_time": 4837.23, "end_time": 4837.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1251, "text": "If we want to use linear because that's our process and we said we don't want to disrupt our process.", "raw_text": "If we want to use linear because that's our process and we said we don't want to disrupt our process.", "start_time": 4837.95, "end_time": 4841.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1252, "text": "It's a fine middle step because we can still use Spark.", "raw_text": "It's a fine middle step because we can still use Spark.", "start_time": 4842.03, "end_time": 4844.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1253, "text": "But it was interesting, it adds the.", "raw_text": "But it was interesting, it adds the.", "start_time": 4844.75, "end_time": 4846.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1254, "text": "Traceability that we would have to build out on our own.", "raw_text": "Traceability that we would have to build out on our own.", "start_time": 4846.99, "end_time": 4850.19, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1255, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4850.43, "end_time": 4850.91, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1256, "text": "So it's.", "raw_text": "So it's.", "start_time": 4850.99, "end_time": 4851.71, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1257, "text": "We'll get any.", "raw_text": "We'll get any.", "start_time": 4852.43, "end_time": 4853.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1258, "text": "If you think about it, the traceability is there because the PRs are on get.", "raw_text": "If you think about it, the traceability is there because the PRs are on get.", "start_time": 4853.39, "end_time": 4856.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1259, "text": "So just take your ticket and put it in the git commit.", "raw_text": "So just take your ticket and put it in the git commit.", "start_time": 4857, "end_time": 4859.12, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1260, "text": "Like we wouldn't have to build that.", "raw_text": "Like we wouldn't have to build that.", "start_time": 4859.12, "end_time": 4860.48, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1261, "text": "It's in like on my side projects that I have.", "raw_text": "It's in like on my side projects that I have.", "start_time": 4860.48, "end_time": 4862.68, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1262, "text": "It's actually I never used to be pr.", "raw_text": "It's actually I never used to be pr.", "start_time": 4862.76, "end_time": 4864.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1263, "text": "I was just like a ship it but now I'm like my sign that you can see the PR log and it's the full story.", "raw_text": "I was just like a ship it but now I'm like my sign that you can see the PR log and it's the full story.", "start_time": 4864.6, "end_time": 4869.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1264, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4869.72, "end_time": 4870.12, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1265, "text": "So it's like it's just in the prs and like you could have code rabbit manage that.", "raw_text": "So it's like it's just in the prs and like you could have code rabbit manage that.", "start_time": 4870.12, "end_time": 4874.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1266, "text": "But I think for us just meeting people where they're at, we couldn't just cut out linear.", "raw_text": "But I think for us just meeting people where they're at, we couldn't just cut out linear.", "start_time": 4874.44, "end_time": 4878.52, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1267, "text": "That wouldn't work.", "raw_text": "That wouldn't work.", "start_time": 4878.52, "end_time": 4879.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1268, "text": "So I do think think we need to go linear and.", "raw_text": "So I do think think we need to go linear and.", "start_time": 4879.4, "end_time": 4881.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1269, "text": "But then like that's the thing too because Buzzy and Ethan were just me and we were talking about Maroos and they're like oh like you spark?", "raw_text": "But then like that's the thing too because Buzzy and Ethan were just me and we were talking about Maroos and they're like oh like you spark?", "start_time": 4881.53, "end_time": 4887.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1270, "text": "And I was like I don't use spark.", "raw_text": "And I was like I don't use spark.", "start_time": 4887.29, "end_time": 4888.85, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1271, "text": "It's like a waste.", "raw_text": "It's like a waste.", "start_time": 4888.85, "end_time": 4889.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1272, "text": "Like the idea is good if you're like stand linear.", "raw_text": "Like the idea is good if you're like stand linear.", "start_time": 4889.45, "end_time": 4892.53, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1273, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4892.53, "end_time": 4892.89, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1274, "text": "Could you do spark with.", "raw_text": "Could you do spark with.", "start_time": 4892.89, "end_time": 4894.17, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1275, "text": "Can you do what the linear and VR thing.", "raw_text": "Can you do what the linear and VR thing.", "start_time": 4894.17, "end_time": 4896.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1276, "text": "Like linear's gotta have something native.", "raw_text": "Like linear's gotta have something native.", "start_time": 4896.33, "end_time": 4898.61, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1277, "text": "It's gotta be orally.", "raw_text": "It's gotta be orally.", "start_time": 4899.01, "end_time": 4900.13, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1278, "text": "That's the thing too of like that's the other thing we can do is just have like maybe we designate some code and linear of like in queue and then we just run a cron job with our clock code pipeline that just prints them out.", "raw_text": "That's the thing too of like that's the other thing we can do is just have like maybe we designate some code and linear of like in queue and then we just run a cron job with our clock code pipeline that just prints them out.", "start_time": 4900.13, "end_time": 4912.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1279, "text": "Or if we want to like take it a step further probably what the smartest thing would be to do.", "raw_text": "Or if we want to like take it a step further probably what the smartest thing would be to do.", "start_time": 4912.79, "end_time": 4918.07, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1280, "text": "What I've been doing on my personal branches is I have like on the main branch or maybe we do dev or whatever your branch is.", "raw_text": "What I've been doing on my personal branches is I have like on the main branch or maybe we do dev or whatever your branch is.", "start_time": 4918.15, "end_time": 4924.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1281, "text": "I put a markdown that basically describes all of this and then I spin up these remote sessions on my office authenticated account and I say like do the first three of these and then I like open up a chat manually merge open PRs, do the next three manually merge PRs.", "raw_text": "I put a markdown that basically describes all of this and then I spin up these remote sessions on my office authenticated account and I say like do the first three of these and then I like open up a chat manually merge open PRs, do the next three manually merge PRs.", "start_time": 4924.79, "end_time": 4940.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1282, "text": "So maybe what we do is we start the devs with like, okay, kick off your first three tasks and then you have a little bit of time to read about what you want to do.", "raw_text": "So maybe what we do is we start the devs with like, okay, kick off your first three tasks and then you have a little bit of time to read about what you want to do.", "start_time": 4940.4, "end_time": 4949.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1283, "text": "Then as soon as those are done, kick off your next few, go through manually merge and clean things up.", "raw_text": "Then as soon as those are done, kick off your next few, go through manually merge and clean things up.", "start_time": 4950.16, "end_time": 4954.48, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1284, "text": "And then you're in this iteration where you're just shipping.", "raw_text": "And then you're in this iteration where you're just shipping.", "start_time": 4954.48, "end_time": 4956.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1285, "text": "How much did you guys on the Marus Brothers?", "raw_text": "How much did you guys on the Marus Brothers?", "start_time": 4956.72, "end_time": 4960.43, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1286, "text": "How much have you done?", "raw_text": "How much have you done?", "start_time": 4962.83, "end_time": 4963.79, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1287, "text": "This just PR or is that Ethan's all just.", "raw_text": "This just PR or is that Ethan's all just.", "start_time": 4963.79, "end_time": 4967.03, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1288, "text": "I just let Ethan do whatever he wants.", "raw_text": "I just let Ethan do whatever he wants.", "start_time": 4967.03, "end_time": 4968.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1289, "text": "I told him about the remote side of things, but Ethan's moving fast, so I didn't even want to like, case study it.", "raw_text": "I told him about the remote side of things, but Ethan's moving fast, so I didn't even want to like, case study it.", "start_time": 4968.55, "end_time": 4973.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1290, "text": "I. I can tell you, like, I.", "raw_text": "I. I can tell you, like, I.", "start_time": 4973.75, "end_time": 4975.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1291, "text": "I literally have that list of USSF tickets and it was actually a list of.", "raw_text": "I literally have that list of USSF tickets and it was actually a list of.", "start_time": 4975.55, "end_time": 4980.23, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1292, "text": "In a markdown before.", "raw_text": "In a markdown before.", "start_time": 4980.23, "end_time": 4981.31, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1293, "text": "Like, it was tickets in markdown that I told were gonna eventually go linear.", "raw_text": "Like, it was tickets in markdown that I told were gonna eventually go linear.", "start_time": 4981.47, "end_time": 4986.62, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1294, "text": "So it's like this.", "raw_text": "So it's like this.", "start_time": 4986.62, "end_time": 4987.5, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1295, "text": "Basically, it's like a download of what linear is because linear is based on it and it's in the folder on the dev server and you just.", "raw_text": "Basically, it's like a download of what linear is because linear is based on it and it's in the folder on the dev server and you just.", "start_time": 4987.74, "end_time": 4994.86, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1296, "text": "It's what we did.", "raw_text": "It's what we did.", "start_time": 4994.86, "end_time": 4995.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1297, "text": "We just SSH into dev server.", "raw_text": "We just SSH into dev server.", "start_time": 4995.54, "end_time": 4997.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1298, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4997.54, "end_time": 4997.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1299, "text": "Just be like clock running.", "raw_text": "Just be like clock running.", "start_time": 4997.82, "end_time": 4999.02, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1300, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4999.18, "end_time": 4999.54, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1301, "text": "I was basically like, Jeremy, like, this guy wants us to get these ones done this week.", "raw_text": "I was basically like, Jeremy, like, this guy wants us to get these ones done this week.", "start_time": 4999.54, "end_time": 5004.78, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1302, "text": "Just like tell Claude to just do these ones and then like.", "raw_text": "Just like tell Claude to just do these ones and then like.", "start_time": 5005.42, "end_time": 5012.8, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1303, "text": "And then just like fact check them.", "raw_text": "And then just like fact check them.", "start_time": 5012.8, "end_time": 5014.96, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1304, "text": "So that's what he's doing.", "raw_text": "So that's what he's doing.", "start_time": 5015.76, "end_time": 5016.88, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1305, "text": "Yeah, pretty much.", "raw_text": "Yeah, pretty much.", "start_time": 5017.68, "end_time": 5018.72, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1306, "text": "But the only thing is.", "raw_text": "But the only thing is.", "start_time": 5018.8, "end_time": 5019.84, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1307, "text": "Sucks is it right now is if we changed linear, it would be not in sync with.", "raw_text": "Sucks is it right now is if we changed linear, it would be not in sync with.", "start_time": 5019.84, "end_time": 5025.2, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1308, "text": "But that's what.", "raw_text": "But that's what.", "start_time": 5025.44, "end_time": 5026, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1309, "text": "That's what like Dario says.", "raw_text": "That's what like Dario says.", "start_time": 5026, "end_time": 5026.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1310, "text": "He's like, all my engineers don't write code.", "raw_text": "He's like, all my engineers don't write code.", "start_time": 5026.84, "end_time": 5028.24, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1311, "text": "They just tweak cloud code's code.", "raw_text": "They just tweak cloud code's code.", "start_time": 5028.24, "end_time": 5029.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1312, "text": "That's why they're shipping.", "raw_text": "That's why they're shipping.", "start_time": 5029.84, "end_time": 5030.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1313, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5030.96, "end_time": 5031.52, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1314, "text": "I mean, they have unlimited suite model usage though.", "raw_text": "I mean, they have unlimited suite model usage though.", "start_time": 5031.84, "end_time": 5034.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1315, "text": "But still, like, I think the one thing that like stops me from.", "raw_text": "But still, like, I think the one thing that like stops me from.", "start_time": 5034.2, "end_time": 5037.98, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1316, "text": "Okay, here's a built finished product on this is you skip to the end, you make your PRs on API and we're spending $10,000 on these tickets where.", "raw_text": "Okay, here's a built finished product on this is you skip to the end, you make your PRs on API and we're spending $10,000 on these tickets where.", "start_time": 5038.62, "end_time": 5047.14, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1317, "text": "Oh, you have to do it on it.", "raw_text": "Oh, you have to do it on it.", "start_time": 5047.14, "end_time": 5048.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1318, "text": "Let me think about that.", "raw_text": "Let me think about that.", "start_time": 5049.1, "end_time": 5050.02, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1319, "text": "I think with Manage.", "raw_text": "I think with Manage.", "start_time": 5050.02, "end_time": 5051.1, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1320, "text": "No, not Manage Agents with scheduled tasks in Claude.", "raw_text": "No, not Manage Agents with scheduled tasks in Claude.", "start_time": 5051.34, "end_time": 5059.34, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1321, "text": "You can now programmatically call them with your personal.", "raw_text": "You can now programmatically call them with your personal.", "start_time": 5060.78, "end_time": 5063.9, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1322, "text": "You can do it with like, there's like this gray area with your.", "raw_text": "You can do it with like, there's like this gray area with your.", "start_time": 5063.98, "end_time": 5066.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1323, "text": "With cli.", "raw_text": "With cli.", "start_time": 5066.73, "end_time": 5067.77, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1324, "text": "So if we had like CLI was logged in as you and you had a cloud scheduled task because you can like dispatch it, you could say, like, schedule run now and then it would reuse your.", "raw_text": "So if we had like CLI was logged in as you and you had a cloud scheduled task because you can like dispatch it, you could say, like, schedule run now and then it would reuse your.", "start_time": 5067.77, "end_time": 5077.69, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1325, "text": "Your subscription.", "raw_text": "Your subscription.", "start_time": 5078.09, "end_time": 5079.21, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1326, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5079.61, "end_time": 5080.09, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1327, "text": "And.", "raw_text": "And.", "start_time": 5080.09, "end_time": 5080.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1328, "text": "Well, that's the thing.", "raw_text": "Well, that's the thing.", "start_time": 5080.45, "end_time": 5081.09, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1329, "text": "Which.", "raw_text": "Which.", "start_time": 5081.09, "end_time": 5081.41, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1330, "text": "That would.", "raw_text": "That would.", "start_time": 5081.41, "end_time": 5081.85, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1331, "text": "That would be sick.", "raw_text": "That would be sick.", "start_time": 5081.85, "end_time": 5082.73, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1332, "text": "Imagine that we get in the habit of like having our devs end their day by kicking off the tasks that should happen while they're gone, and they start their morning by reviewing those and they just keep at the cycle going.", "raw_text": "Imagine that we get in the habit of like having our devs end their day by kicking off the tasks that should happen while they're gone, and they start their morning by reviewing those and they just keep at the cycle going.", "start_time": 5082.89, "end_time": 5092.86, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1333, "text": "Like that's how that.", "raw_text": "Like that's how that.", "start_time": 5092.86, "end_time": 5093.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1334, "text": "That's how we should be operating.", "raw_text": "That's how we should be operating.", "start_time": 5093.7, "end_time": 5094.78, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1335, "text": "We're very far from that.", "raw_text": "We're very far from that.", "start_time": 5094.78, "end_time": 5095.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1336, "text": "But that's how.", "raw_text": "But that's how.", "start_time": 5095.94, "end_time": 5096.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1337, "text": "Yeah, this gets into just like whatever would we put in Spark, I guess, or.", "raw_text": "Yeah, this gets into just like whatever would we put in Spark, I guess, or.", "start_time": 5096.74, "end_time": 5101.06, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1338, "text": "Yeah, this Is like the harness engineering.", "raw_text": "Yeah, this Is like the harness engineering.", "start_time": 5101.54, "end_time": 5103.38, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1339, "text": "But this is, I mean this, this technically is all of it.", "raw_text": "But this is, I mean this, this technically is all of it.", "start_time": 5103.38, "end_time": 5106.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1340, "text": "Because if you think about it like that's our, that's our whole business in a pipeline.", "raw_text": "Because if you think about it like that's our, that's our whole business in a pipeline.", "start_time": 5106.18, "end_time": 5110.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1341, "text": "It's exactly what Sam said.", "raw_text": "It's exactly what Sam said.", "start_time": 5110.06, "end_time": 5111.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1342, "text": "But then it's like the next step is like once it's in linear, just like have the AI executed.", "raw_text": "But then it's like the next step is like once it's in linear, just like have the AI executed.", "start_time": 5111.38, "end_time": 5117.38, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1343, "text": "But that's the thing too of like.", "raw_text": "But that's the thing too of like.", "start_time": 5117.46, "end_time": 5118.82, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1344, "text": "That's what my business partner's doing.", "raw_text": "That's what my business partner's doing.", "start_time": 5121.7, "end_time": 5123.38, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1345, "text": "Yeah, that's kind of what everyone's doing.", "raw_text": "Yeah, that's kind of what everyone's doing.", "start_time": 5124.74, "end_time": 5126.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1346, "text": "Like, that's what all those examples I went through.", "raw_text": "Like, that's what all those examples I went through.", "start_time": 5126.3, "end_time": 5128.18, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1347, "text": "They're all like this pattern is everywhere.", "raw_text": "They're all like this pattern is everywhere.", "start_time": 5128.18, "end_time": 5131.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1348, "text": "Everyone's doing this.", "raw_text": "Everyone's doing this.", "start_time": 5131.66, "end_time": 5132.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1349, "text": "It's like somewhat obvious but yet still kind of complicated.", "raw_text": "It's like somewhat obvious but yet still kind of complicated.", "start_time": 5132.5, "end_time": 5135.7, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1350, "text": "But it's really like, I do wonder.", "raw_text": "But it's really like, I do wonder.", "start_time": 5135.7, "end_time": 5137.3, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1351, "text": "How worried linear is that?", "raw_text": "How worried linear is that?", "start_time": 5137.3, "end_time": 5139.94, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1352, "text": "Because I'm with you, man.", "raw_text": "Because I'm with you, man.", "start_time": 5140.9, "end_time": 5143.42, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1353, "text": "I, I thought that that same exact thing.", "raw_text": "I, I thought that that same exact thing.", "start_time": 5143.42, "end_time": 5145.14, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1354, "text": "Like, why even tell anyone about it?", "raw_text": "Like, why even tell anyone about it?", "start_time": 5145.14, "end_time": 5147.18, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1355, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5147.18, "end_time": 5147.74, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1356, "text": "I wonder how worried they are that people are thinking that.", "raw_text": "I wonder how worried they are that people are thinking that.", "start_time": 5148.22, "end_time": 5151.02, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1357, "text": "Well, I think that's the other thing.", "raw_text": "Well, I think that's the other thing.", "start_time": 5151.58, "end_time": 5153.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1358, "text": "Too of like how it's gonna cost us six grand as a company to re up on linear.", "raw_text": "Too of like how it's gonna cost us six grand as a company to re up on linear.", "start_time": 5153.06, "end_time": 5159.1, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1359, "text": "So if we think it's not worth it, we should talk about it now.", "raw_text": "So if we think it's not worth it, we should talk about it now.", "start_time": 5159.1, "end_time": 5161.66, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1360, "text": "Yeah, I mean it's relatively low cost, I guess.", "raw_text": "Yeah, I mean it's relatively low cost, I guess.", "start_time": 5161.66, "end_time": 5163.94, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1361, "text": "Well, the other thing is like, but you're gonna have to pay that switching cost because you got to go retrain everyone in the bowl.", "raw_text": "Well, the other thing is like, but you're gonna have to pay that switching cost because you got to go retrain everyone in the bowl.", "start_time": 5163.94, "end_time": 5168.74, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1362, "text": "Like everyone that the guys.", "raw_text": "Like everyone that the guys.", "start_time": 5168.74, "end_time": 5170.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1363, "text": "And it's like I saw I've always sucked the linear and Jira and all.", "raw_text": "And it's like I saw I've always sucked the linear and Jira and all.", "start_time": 5170.23, "end_time": 5174.11, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1364, "text": "Of it, so I hate all of them.", "raw_text": "Of it, so I hate all of them.", "start_time": 5174.11, "end_time": 5175.55, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1365, "text": "Like, I don't know.", "raw_text": "Like, I don't know.", "start_time": 5175.55, "end_time": 5176.03, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1366, "text": "That's the thing.", "raw_text": "That's the thing.", "start_time": 5176.03, "end_time": 5176.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1367, "text": "Well, that's the other thing too about like how we, how we hire and go through.", "raw_text": "Well, that's the other thing too about like how we, how we hire and go through.", "start_time": 5176.71, "end_time": 5179.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1368, "text": "Because like the garage guy, or at least not the garage because it's not that clean.", "raw_text": "Because like the garage guy, or at least not the garage because it's not that clean.", "start_time": 5179.51, "end_time": 5183.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1369, "text": "But there's probably at least our upper third of devs could probably just drop linear right now and be great.", "raw_text": "But there's probably at least our upper third of devs could probably just drop linear right now and be great.", "start_time": 5183.35, "end_time": 5189.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1370, "text": "But especially like the lower quarter, that would be extremely painful.", "raw_text": "But especially like the lower quarter, that would be extremely painful.", "start_time": 5190.31, "end_time": 5194.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1371, "text": "That's why these small AI native companies move so fast because you don't have to go re change people's old habits.", "raw_text": "That's why these small AI native companies move so fast because you don't have to go re change people's old habits.", "start_time": 5197.2, "end_time": 5202.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1372, "text": "You just ship.", "raw_text": "You just ship.", "start_time": 5202.04, "end_time": 5202.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1373, "text": "But yeah, I think what that shows is really, it's funny because all that kind of makes sense to like at the end you get to the PR part and then how do you utilize those tokens?", "raw_text": "But yeah, I think what that shows is really, it's funny because all that kind of makes sense to like at the end you get to the PR part and then how do you utilize those tokens?", "start_time": 5206.8, "end_time": 5215.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1374, "text": "Good.", "raw_text": "Good.", "start_time": 5215.32, "end_time": 5215.6, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1375, "text": "But maybe if we do this personal and the project layer really well that like those linear tickets with good descriptions get up to the project level and they're saved like on a branch.", "raw_text": "But maybe if we do this personal and the project layer really well that like those linear tickets with good descriptions get up to the project level and they're saved like on a branch.", "start_time": 5215.68, "end_time": 5226.51, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1376, "text": "Well then the personal level, like the real harness, we just train our guys to spin it up and then you can use their Own cloud code subscription.", "raw_text": "Well then the personal level, like the real harness, we just train our guys to spin it up and then you can use their Own cloud code subscription.", "start_time": 5226.67, "end_time": 5232.99, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1377, "text": "So it's like I think the easiest path to doing something like this is us building like somehow we go from Firefly notes to a markdown document on the main GitHub branch that describes exactly what they should do and then the developers task is to open up Claude, remote, kick them off and then review PRs all day.", "raw_text": "So it's like I think the easiest path to doing something like this is us building like somehow we go from Firefly notes to a markdown document on the main GitHub branch that describes exactly what they should do and then the developers task is to open up Claude, remote, kick them off and then review PRs all day.", "start_time": 5232.99, "end_time": 5252.91, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1378, "text": "You just do the routine?", "raw_text": "You just do the routine?", "start_time": 5252.91, "end_time": 5253.87, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1379, "text": "Yeah, exactly like yeah, we do that.", "raw_text": "Yeah, exactly like yeah, we do that.", "start_time": 5254.27, "end_time": 5256.23, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1380, "text": "Either via routine inside my personal.", "raw_text": "Either via routine inside my personal.", "start_time": 5256.23, "end_time": 5259.15, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1381, "text": "That's exactly what I do.", "raw_text": "That's exactly what I do.", "start_time": 5260.43, "end_time": 5261.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1382, "text": "But then that can come off too of like then you get an active or passive.", "raw_text": "But then that can come off too of like then you get an active or passive.", "start_time": 5261.59, "end_time": 5264.87, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1383, "text": "Because I think there are scenarios where routines are good and there's scenarios where like I'd rather control it like your.", "raw_text": "Because I think there are scenarios where routines are good and there's scenarios where like I'd rather control it like your.", "start_time": 5264.87, "end_time": 5269.75, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1384, "text": "Routine and you don't have to assign this book, it could be assigned yourself.", "raw_text": "Routine and you don't have to assign this book, it could be assigned yourself.", "start_time": 5269.75, "end_time": 5272.61, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1385, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 5273.08, "end_time": 5273.48, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1386, "text": "Or it's like find every ticket assigned to me on linear and just do it and do them.", "raw_text": "Or it's like find every ticket assigned to me on linear and just do it and do them.", "start_time": 5273.48, "end_time": 5278.88, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1387, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5278.88, "end_time": 5279.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1388, "text": "Or we can even do it of like maybe we pick a status in Linear that like we have.", "raw_text": "Or we can even do it of like maybe we pick a status in Linear that like we have.", "start_time": 5279.2, "end_time": 5282.88, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1389, "text": "Maybe we have like in triage it won't auto do but as soon as we put it like to do well then AI just does it and then as soon as you're like done in the pr you can even make it move it across the board.", "raw_text": "Maybe we have like in triage it won't auto do but as soon as we put it like to do well then AI just does it and then as soon as you're like done in the pr you can even make it move it across the board.", "start_time": 5282.88, "end_time": 5292.6, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1390, "text": "But I don't know, that's the thing that struggles with me with.", "raw_text": "But I don't know, that's the thing that struggles with me with.", "start_time": 5293.88, "end_time": 5295.92, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1391, "text": "I struggle with linear.", "raw_text": "I struggle with linear.", "start_time": 5295.92, "end_time": 5296.64, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1392, "text": "It's like that's just wasted context.", "raw_text": "It's like that's just wasted context.", "start_time": 5296.64, "end_time": 5297.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1393, "text": "That's why I like hate even doing.", "raw_text": "That's why I like hate even doing.", "start_time": 5297.96, "end_time": 5299.19, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1394, "text": "Because yeah, my cloud code can just update everything.", "raw_text": "Because yeah, my cloud code can just update everything.", "start_time": 5299.19, "end_time": 5301.63, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1395, "text": "But as soon as I take a perfectly good conversation where I figure out exactly what we should do and we have alignment on the deliverables, then I say update this to linear, it kills the whole conversation.", "raw_text": "But as soon as I take a perfectly good conversation where I figure out exactly what we should do and we have alignment on the deliverables, then I say update this to linear, it kills the whole conversation.", "start_time": 5301.87, "end_time": 5310.47, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1396, "text": "I just gotta go start another one.", "raw_text": "I just gotta go start another one.", "start_time": 5310.47, "end_time": 5311.59, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1397, "text": "Or like I gotta like export it there because it's just so much information for figuring out how to do all the tool calls and the cli and then update the tickets and then read it and write it and then sometimes I accidentally put it in the wrong project.", "raw_text": "Or like I gotta like export it there because it's just so much information for figuring out how to do all the tool calls and the cli and then update the tickets and then read it and write it and then sometimes I accidentally put it in the wrong project.", "start_time": 5311.59, "end_time": 5322.11, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1398, "text": "Well I would say wrapping this up is.", "raw_text": "Well I would say wrapping this up is.", "start_time": 5324.28, "end_time": 5329, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1399, "text": "I would just say let's.", "raw_text": "I would just say let's.", "start_time": 5329, "end_time": 5330.12, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1400, "text": "Or you can propose like what's the most actionable things that we should work on.", "raw_text": "Or you can propose like what's the most actionable things that we should work on.", "start_time": 5331, "end_time": 5334.52, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1401, "text": "I think for me I think getting this like that toggle, it's not really.", "raw_text": "I think for me I think getting this like that toggle, it's not really.", "start_time": 5334.52, "end_time": 5339.64, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1402, "text": "In your deck but like the toggle.", "raw_text": "In your deck but like the toggle.", "start_time": 5339.96, "end_time": 5341.96, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1403, "text": "Data correct for Sam just pretty close now.", "raw_text": "Data correct for Sam just pretty close now.", "start_time": 5342.12, "end_time": 5347.4, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1404, "text": "But I would, I would say like to me what stands out is like the shared file structure.", "raw_text": "But I would, I would say like to me what stands out is like the shared file structure.", "start_time": 5352.69, "end_time": 5358.69, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1405, "text": "Oh yeah, it is right.", "raw_text": "Oh yeah, it is right.", "start_time": 5370.21, "end_time": 5371.57, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1406, "text": "That's what we've been saying Kristoff.", "raw_text": "That's what we've been saying Kristoff.", "start_time": 5371.73, "end_time": 5373.49, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1407, "text": "They said look at what we're doing over here.", "raw_text": "They said look at what we're doing over here.", "start_time": 5376.84, "end_time": 5378.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1408, "text": "It's better than what you got?", "raw_text": "It's better than what you got?", "start_time": 5378.76, "end_time": 5380.04, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1409, "text": "I gotta resubmit the Google form.", "raw_text": "I gotta resubmit the Google form.", "start_time": 5383, "end_time": 5384.84, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1410, "text": "As good as anthropic is, I've now gotta go open the Google form and make sure I don't fat finger everyone's email.", "raw_text": "As good as anthropic is, I've now gotta go open the Google form and make sure I don't fat finger everyone's email.", "start_time": 5385.56, "end_time": 5392.64, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1411, "text": "That did it now.", "raw_text": "That did it now.", "start_time": 5392.64, "end_time": 5393.6, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1412, "text": "And just tell them we're done.", "raw_text": "And just tell them we're done.", "start_time": 5393.6, "end_time": 5395.48, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1413, "text": "We're black and white in the camera today.", "raw_text": "We're black and white in the camera today.", "start_time": 5396.44, "end_time": 5398.12, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1414, "text": "Interesting.", "raw_text": "Interesting.", "start_time": 5399.08, "end_time": 5399.8, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1415, "text": "My phone's still recording.", "raw_text": "My phone's still recording.", "start_time": 5403.42, "end_time": 5404.5, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1416, "text": "Let's see.", "raw_text": "Let's see.", "start_time": 5404.5, "end_time": 5405.06, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1417, "text": "I did I record it with my phone because it'll auto detect our different voices where the one on there wouldn't.", "raw_text": "I did I record it with my phone because it'll auto detect our different voices where the one on there wouldn't.", "start_time": 5405.06, "end_time": 5410.94, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1418, "text": "Oh the other workaround for that is if you go on Fireflies you can download the audio, then you can delete the meeting and then you can re upload the audio and it'll do the full voice parsing.", "raw_text": "Oh the other workaround for that is if you go on Fireflies you can download the audio, then you can delete the meeting and then you can re upload the audio and it'll do the full voice parsing.", "start_time": 5412.06, "end_time": 5420.54, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1419, "text": "I haven't tested that yet but I bet that would work because I've done some uploads.", "raw_text": "I haven't tested that yet but I bet that would work because I've done some uploads.", "start_time": 5420.78, "end_time": 5423.66, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1420, "text": "I wonder if they have a.", "raw_text": "I wonder if they have a.", "start_time": 5424.14, "end_time": 5425.14, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1421, "text": "They should put like customers.", "raw_text": "They should put like customers.", "start_time": 5425.14, "end_time": 5426.33, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1422, "text": "Yeah, you should be able to like redetect.", "raw_text": "Yeah, you should be able to like redetect.", "start_time": 5427.04, "end_time": 5428.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1423, "text": "You should be like hey, every time a Firefly native to Fireflies like see if there's any change requests, blah blah blah mentioned but you can't.", "raw_text": "You should be like hey, every time a Firefly native to Fireflies like see if there's any change requests, blah blah blah mentioned but you can't.", "start_time": 5428.32, "end_time": 5438.56, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1424, "text": "Okay, so like next to do's would be getting the toggle stuff set up for Sam.", "raw_text": "Okay, so like next to do's would be getting the toggle stuff set up for Sam.", "start_time": 5440.16, "end_time": 5444.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1425, "text": "You and I should probably go through that demo environment and like yeah, we still have to do that.", "raw_text": "You and I should probably go through that demo environment and like yeah, we still have to do that.", "start_time": 5444.08, "end_time": 5447.8, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1426, "text": "That's the other thing of like I don't know how much we want to do like the go to market or marketing because I agree with some the of of the stuff.", "raw_text": "That's the other thing of like I don't know how much we want to do like the go to market or marketing because I agree with some the of of the stuff.", "start_time": 5447.8, "end_time": 5453.84, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1427, "text": "You probably just haven't responded to it yet.", "raw_text": "You probably just haven't responded to it yet.", "start_time": 5453.84, "end_time": 5455.28, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1428, "text": "I also think the hottest topic right now is cyber security.", "raw_text": "I also think the hottest topic right now is cyber security.", "start_time": 5455.28, "end_time": 5457.36, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1429, "text": "So like we should really play with the NSS stuff but so there's like that.", "raw_text": "So like we should really play with the NSS stuff but so there's like that.", "start_time": 5457.36, "end_time": 5462.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1430, "text": "But then on the side of like what we're building I think it's that automation of like the harness the impact on our devs is the highest thing that would return on our business.", "raw_text": "But then on the side of like what we're building I think it's that automation of like the harness the impact on our devs is the highest thing that would return on our business.", "start_time": 5462.56, "end_time": 5470.44, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1431, "text": "Like if we want to approach some of these deals where we know we're low on manpower, probably focusing on that tooling is the most useful thing.", "raw_text": "Like if we want to approach some of these deals where we know we're low on manpower, probably focusing on that tooling is the most useful thing.", "start_time": 5470.44, "end_time": 5476.08, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1432, "text": "But then like the Cordis would need.", "raw_text": "But then like the Cordis would need.", "start_time": 5476.24, "end_time": 5478.16, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1433, "text": "You can loop this.", "raw_text": "You can loop this.", "start_time": 5479.29, "end_time": 5480.09, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1434, "text": "This needs a shared blob.", "raw_text": "This needs a shared blob.", "start_time": 5480.09, "end_time": 5483.85, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1435, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 5484.57, "end_time": 5485.25, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1436, "text": "So I think the infrastructure that we need is that shared blob.", "raw_text": "So I think the infrastructure that we need is that shared blob.", "start_time": 5485.25, "end_time": 5488.41, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1437, "text": "And same thing with Sam's Digest.", "raw_text": "And same thing with Sam's Digest.", "start_time": 5488.49, "end_time": 5490.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1438, "text": "I'm just getting that to a shared blob and then also it's probably making foundation in a way that's useful to our devs and probably it's just having that middle layer of blobs because it's.", "raw_text": "I'm just getting that to a shared blob and then also it's probably making foundation in a way that's useful to our devs and probably it's just having that middle layer of blobs because it's.", "start_time": 5490.81, "end_time": 5502.81, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1439, "text": "Like well once the data's hardened we haven't even rolled it out Or TR trained them or like, told them to use the mcp.", "raw_text": "Like well once the data's hardened we haven't even rolled it out Or TR trained them or like, told them to use the mcp.", "start_time": 5502.81, "end_time": 5508.72, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1440, "text": "Like, they'll probably get a lot value.", "raw_text": "Like, they'll probably get a lot value.", "start_time": 5509.92, "end_time": 5511.44, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1441, "text": "Just like, yeah, we're pretty overdue on that.", "raw_text": "Just like, yeah, we're pretty overdue on that.", "start_time": 5511.44, "end_time": 5513.32, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1442, "text": "I know there's some frustration that people are like, what was going on here?", "raw_text": "I know there's some frustration that people are like, what was going on here?", "start_time": 5513.32, "end_time": 5516.56, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1443, "text": "So we should probably do that all hands on that as soon as possible.", "raw_text": "So we should probably do that all hands on that as soon as possible.", "start_time": 5516.56, "end_time": 5519.76, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1444, "text": "I'm somewhat concerned about is linear security or not linear Firefly security.", "raw_text": "I'm somewhat concerned about is linear security or not linear Firefly security.", "start_time": 5521.44, "end_time": 5527.92, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1445, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5529.84, "end_time": 5530.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1446, "text": "Or pretty.", "raw_text": "Or pretty.", "start_time": 5530.2, "end_time": 5531.2, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1447, "text": "Even if it's like a me, like, I don't know.", "raw_text": "Even if it's like a me, like, I don't know.", "start_time": 5531.92, "end_time": 5533.73, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1448, "text": "I still don't.", "raw_text": "I still don't.", "start_time": 5533.73, "end_time": 5534.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1449, "text": "I hate the automated Firefly stuff.", "raw_text": "I hate the automated Firefly stuff.", "start_time": 5534.29, "end_time": 5535.93, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1450, "text": "So I still like this whole process.", "raw_text": "So I still like this whole process.", "start_time": 5535.93, "end_time": 5538.01, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1451, "text": "This is the reason, like, I feel like this process is good because this is my process.", "raw_text": "This is the reason, like, I feel like this process is good because this is my process.", "start_time": 5538.25, "end_time": 5541.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1452, "text": "I just manually do every step in claude.", "raw_text": "I just manually do every step in claude.", "start_time": 5541.29, "end_time": 5543.65, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1453, "text": "So right now I just go to Firefly.", "raw_text": "So right now I just go to Firefly.", "start_time": 5543.65, "end_time": 5544.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1454, "text": "I still manually download all my transcripts, and then I download it.", "raw_text": "I still manually download all my transcripts, and then I download it.", "start_time": 5544.97, "end_time": 5548.49, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1455, "text": "I whisper flow with that user context.", "raw_text": "I whisper flow with that user context.", "start_time": 5548.49, "end_time": 5550.41, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1456, "text": "I work with it to get that data, those transcripts, notes, summary that lives in my CLAUDE project.", "raw_text": "I work with it to get that data, those transcripts, notes, summary that lives in my CLAUDE project.", "start_time": 5550.57, "end_time": 5555.29, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1457, "text": "Those deliverables I send out live in my cloud project.", "raw_text": "Those deliverables I send out live in my cloud project.", "start_time": 5555.61, "end_time": 5558.97, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1458, "text": "And then if I go the PM or the dev route, another chat, same project, and then the tickets come out as a deliverable in the project, and then the PRs, I just dump and markdown and go straight to my cloud code and skip the linear step.", "raw_text": "And then if I go the PM or the dev route, another chat, same project, and then the tickets come out as a deliverable in the project, and then the PRs, I just dump and markdown and go straight to my cloud code and skip the linear step.", "start_time": 5559.33, "end_time": 5570.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1459, "text": "It's like, this is my personal workflow that I use on every project.", "raw_text": "It's like, this is my personal workflow that I use on every project.", "start_time": 5570.53, "end_time": 5574.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1460, "text": "But it's just like, how do we get that to be automatic for everyone else?", "raw_text": "But it's just like, how do we get that to be automatic for everyone else?", "start_time": 5574.45, "end_time": 5577.45, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1461, "text": "Or we just start training people on how to do it and like, speed it up that way?", "raw_text": "Or we just start training people on how to do it and like, speed it up that way?", "start_time": 5577.45, "end_time": 5582.21, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1462, "text": "Like, that's the other thing of, like.", "raw_text": "Like, that's the other thing of, like.", "start_time": 5582.21, "end_time": 5583.73, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1463, "text": "I think a lot of these problems could be solved, which is training, but I don't know if we have, like, the resource or time commitment to that right now.", "raw_text": "I think a lot of these problems could be solved, which is training, but I don't know if we have, like, the resource or time commitment to that right now.", "start_time": 5583.73, "end_time": 5590.31, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1464, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5590.71, "end_time": 5591.19, "speaker_id": 3, "speaker_name": "Sam"}, {"index": 1465, "text": "Yeah, I can circle back with more things.", "raw_text": "Yeah, I can circle back with more things.", "start_time": 5599.67, "end_time": 5601.43, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1466, "text": "I think that was, like, good discussion.", "raw_text": "I think that was, like, good discussion.", "start_time": 5601.43, "end_time": 5602.71, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1467, "text": "I think we should, like, talk through some of that.", "raw_text": "I think we should, like, talk through some of that.", "start_time": 5602.71, "end_time": 5604.11, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1468, "text": "This would be a useful Firefly transcript.", "raw_text": "This would be a useful Firefly transcript.", "start_time": 5604.11, "end_time": 5605.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1469, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5605.91, "end_time": 5606.39, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1470, "text": "All right, sweet.", "raw_text": "All right, sweet.", "start_time": 5608.15, "end_time": 5608.95, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1471, "text": "You want to deal with dev environment stuff now or you gotta get.", "raw_text": "You want to deal with dev environment stuff now or you gotta get.", "start_time": 5608.95, "end_time": 5611.11, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1472, "text": "Want to get lunch?", "raw_text": "Want to get lunch?", "start_time": 5611.11, "end_time": 5611.83, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1473, "text": "I told Hugh I'd go to Chipotle with him.", "raw_text": "I told Hugh I'd go to Chipotle with him.", "start_time": 5613.43, "end_time": 5615.35, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1474, "text": "He probably left you.", "raw_text": "He probably left you.", "start_time": 5615.67, "end_time": 5616.87, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1475, "text": "I bet you he's waiting.", "raw_text": "I bet you he's waiting.", "start_time": 5617.03, "end_time": 5618.15, "speaker_id": 0, "speaker_name": "Caden"}, {"index": 1476, "text": "You think?", "raw_text": "You think?", "start_time": 5618.31, "end_time": 5618.95, "speaker_id": 2, "speaker_name": "Justin"}, {"index": 1477, "text": "Yeah, he's a good friend.", "raw_text": "Yeah, he's a good friend.", "start_time": 5619.03, "end_time": 5619.99, "speaker_id": 2, "speaker_name": "Justin"}]
participant_count
0
participants
[]
provider
fireflies
_dlt_meta
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| fireflies | 01KMQPPQ5QNNFEV0REXMH6Y00H | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KMQPPQ5QNNFEV0REXMH6Y00H
title
Foundation Stand up
date
2026-04-02 15:00:00+00:00
duration_minutes
45
duration
45
transcript_url
https://app.fireflies.ai/view/01KMQPPQ5QNNFEV0REXMH6Y00H
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_MzQ3M2YzNjUtMjU5Ny00N2FiLThhYjItNjM5YmRhODA4ZmQ2@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team addressed major environment stability issues by resolving database connection problems that had caused recent production outages. They discussed the complexities of maintaining a staging environment and the potential move to a mono repo for streamlined development. Plans were shared for provisioning client access to Vercel accounts and deploying a stable UI separately to meet client reporting needs. The team identified 21 use cases for the Foundation platform while questioning its long-term value and considering a shift towards a product-based revenue model with licensing. Key operational discussions included resource management and team coordination to enhance productivity amidst ongoing development challenges.
action_items
"\\n**Caden Kacmarynski**\\nComplete demo environment fixes and finalize staging setup planning (00:00)\\nProvide detailed documentation and transcripts from Christopher and Sam\\u2019s work and share Slack resources before leave next week (19:05)\\nShare app builder branch with team for review and feedback, avoiding immediate merge (43:18)\\nContinue developing and refining dashboard, widget integration, and chat linkage features for workflow outputs (22:32)\\nPrepare to support team on Slack during absence next week for any emergent issues (20:07)\\n\\n**David Boone**\\nLead or coordinate setup of staging environment for the data platform as soon as feasible (10:12)\\n\\n**Justin Wray**\\nContinue proof of concepts for UI app types related to safeguarding workflows, coordinate with Caden on integration approach (13:02)\\nAlign branches and collaborate on pipeline and sandbox features with Caden for seamless integration (21:16)\\n\\n**Mark Murphy**\\nFinalize decision regarding Vercel account ownership for client provisioning setup (13:02)\\n"
transcript_text
[{"index": 0, "text": "Well, I got Fred with us.", "raw_text": "Well, I got Fred with us.", "start_time": 5.2, "end_time": 6.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1, "text": "Well, Justin, Mayor may join.", "raw_text": "Well, Justin, Mayor may join.", "start_time": 7.68, "end_time": 9.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 2, "text": "He said maybe.", "raw_text": "He said maybe.", "start_time": 9.44, "end_time": 10.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 3, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 12.08, "end_time": 12.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 4, "text": "Take some rest.", "raw_text": "Take some rest.", "start_time": 12.52, "end_time": 13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 5, "text": "I'm gonna take some rest.", "raw_text": "I'm gonna take some rest.", "start_time": 13, "end_time": 13.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 6, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 14.16, "end_time": 14.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "I know I was supposed to talk to Mer, but it looks like he's probably gonna be a minute.", "raw_text": "I know I was supposed to talk to Mer, but it looks like he's probably gonna be a minute.", "start_time": 14.64, "end_time": 17.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 8, "text": "He's got upset or something.", "raw_text": "He's got upset or something.", "start_time": 17.88, "end_time": 19.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 9, "text": "I'll show you my app.", "raw_text": "I'll show you my app.", "start_time": 20.08, "end_time": 21.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 10, "text": "Oh, so I guess I don't.", "raw_text": "Oh, so I guess I don't.", "start_time": 26.89, "end_time": 28.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 11, "text": "I don't see.", "raw_text": "I don't see.", "start_time": 28.21, "end_time": 28.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 12, "text": "Let's leave this up.", "raw_text": "Let's leave this up.", "start_time": 28.69, "end_time": 29.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 13, "text": "I have, like, two updates.", "raw_text": "I have, like, two updates.", "start_time": 30.57, "end_time": 32.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 14, "text": "Well, three, technically.", "raw_text": "Well, three, technically.", "start_time": 32.97, "end_time": 34.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 15, "text": "Did I tell you about last week?", "raw_text": "Did I tell you about last week?", "start_time": 34.37, "end_time": 35.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 16, "text": "I broke the environments when I was, like, setting up the database.", "raw_text": "I broke the environments when I was, like, setting up the database.", "start_time": 35.49, "end_time": 38.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 17, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 38.17, "end_time": 38.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 18, "text": "So I try to set up a demo environment.", "raw_text": "So I try to set up a demo environment.", "start_time": 38.57, "end_time": 40.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 19, "text": "Basically, we didn't do staging because right now it's like.", "raw_text": "Basically, we didn't do staging because right now it's like.", "start_time": 40.25, "end_time": 43.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 20, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 44.41, "end_time": 45.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 21, "text": "I'm kind of debating if we need a staging.", "raw_text": "I'm kind of debating if we need a staging.", "start_time": 45.17, "end_time": 46.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 22, "text": "Murph saying Murph's thing is going to be like, we're pushing this to safeguard now.", "raw_text": "Murph saying Murph's thing is going to be like, we're pushing this to safeguard now.", "start_time": 46.77, "end_time": 50.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 23, "text": "So it's like, we can't just keep shipping stuff to maintain.", "raw_text": "So it's like, we can't just keep shipping stuff to maintain.", "start_time": 50.17, "end_time": 52.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "So it's like, well, what do we want to do?", "raw_text": "So it's like, well, what do we want to do?", "start_time": 52.96, "end_time": 54.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 25, "text": "And then he's like.", "raw_text": "And then he's like.", "start_time": 54.4, "end_time": 55.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "He's still kind of like, I don't want a staging.", "raw_text": "He's still kind of like, I don't want a staging.", "start_time": 55.32, "end_time": 57.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 27, "text": "Like, we kind of need one.", "raw_text": "Like, we kind of need one.", "start_time": 57.28, "end_time": 58.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 28, "text": "Like.", "raw_text": "Like.", "start_time": 58.6, "end_time": 58.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 29, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 58.84, "end_time": 59.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 30, "text": "And then in Vercel, they let you have, like, for our plan, we get one extra environment.", "raw_text": "And then in Vercel, they let you have, like, for our plan, we get one extra environment.", "start_time": 60.24, "end_time": 65.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 31, "text": "So I set up a staging, but then I killed it.", "raw_text": "So I set up a staging, but then I killed it.", "start_time": 65.2, "end_time": 66.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 32, "text": "So I have my demo.", "raw_text": "So I have my demo.", "start_time": 66.84, "end_time": 67.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 33, "text": "So I set up demo, but then I went and made a separate.", "raw_text": "So I set up demo, but then I went and made a separate.", "start_time": 67.76, "end_time": 70.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 34, "text": "I made a Supabase branch because I saw you made branches previously.", "raw_text": "I made a Supabase branch because I saw you made branches previously.", "start_time": 70.48, "end_time": 73.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 35, "text": "So I made a demo branch, but then when I went to go hook that up to the database, I was led astray by, like, Claude.", "raw_text": "So I made a demo branch, but then when I went to go hook that up to the database, I was led astray by, like, Claude.", "start_time": 73.56, "end_time": 79.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 36, "text": "I think this is a Vercel bug.", "raw_text": "I think this is a Vercel bug.", "start_time": 79.28, "end_time": 80.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 37, "text": "So any demo environment only and, like, when to check environments.", "raw_text": "So any demo environment only and, like, when to check environments.", "start_time": 80.44, "end_time": 84.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 38, "text": "And I couldn't change the permissions.", "raw_text": "And I couldn't change the permissions.", "start_time": 84.41, "end_time": 85.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 39, "text": "Somehow I changed, like, the global variables of, like, the DB connections.", "raw_text": "Somehow I changed, like, the global variables of, like, the DB connections.", "start_time": 85.93, "end_time": 90.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 40, "text": "So then obviously, like, that wasn't great.", "raw_text": "So then obviously, like, that wasn't great.", "start_time": 90.25, "end_time": 92.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 41, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 92.65, "end_time": 93.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 42, "text": "So then I was like, oh, man.", "raw_text": "So then I was like, oh, man.", "start_time": 93.05, "end_time": 94.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 43, "text": "So then I, like, went back and, like, manually fixed them all.", "raw_text": "So then I, like, went back and, like, manually fixed them all.", "start_time": 94.89, "end_time": 97.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 44, "text": "So it's like, everything's good now.", "raw_text": "So it's like, everything's good now.", "start_time": 97.37, "end_time": 98.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 45, "text": "And I just, like, paused on the demo one because I just got to, like, change the strings, but it should be good.", "raw_text": "And I just, like, paused on the demo one because I just got to, like, change the strings, but it should be good.", "start_time": 98.81, "end_time": 103.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 46, "text": "Okay.", "raw_text": "Okay.", "start_time": 103.21, "end_time": 103.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 47, "text": "Well, it is.", "raw_text": "Well, it is.", "start_time": 103.57, "end_time": 104.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 48, "text": "I mean, it's been working all week, so, like, broad's good.", "raw_text": "I mean, it's been working all week, so, like, broad's good.", "start_time": 104.01, "end_time": 107.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 49, "text": "I broke it for like a couple hours, like, last week, but then it was fine.", "raw_text": "I broke it for like a couple hours, like, last week, but then it was fine.", "start_time": 107.13, "end_time": 110.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 50, "text": "And then I have this demo branch that I was going to run the demo environment in the same repo.", "raw_text": "And then I have this demo branch that I was going to run the demo environment in the same repo.", "start_time": 111.07, "end_time": 115.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 51, "text": "We still need to set up a staging for the data platform side of things.", "raw_text": "We still need to set up a staging for the data platform side of things.", "start_time": 115.95, "end_time": 119.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 52, "text": "I know we had talked a while ago about me setting up the original.", "raw_text": "I know we had talked a while ago about me setting up the original.", "start_time": 119.07, "end_time": 122.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 53, "text": "It'd be better if you or Justin did it.", "raw_text": "It'd be better if you or Justin did it.", "start_time": 123.23, "end_time": 124.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 54, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 124.71, "end_time": 125.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 55, "text": "It would make more sense.", "raw_text": "It would make more sense.", "start_time": 125.07, "end_time": 126.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 56, "text": "It's legitimately more complicated, and it needs to be simplified.", "raw_text": "It's legitimately more complicated, and it needs to be simplified.", "start_time": 127.63, "end_time": 130.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 57, "text": "Yeah, that's something.", "raw_text": "Yeah, that's something.", "start_time": 130.83, "end_time": 131.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 58, "text": "Eventually.", "raw_text": "Eventually.", "start_time": 132.11, "end_time": 132.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 59, "text": "We probably want to pull this into a monorepo too.", "raw_text": "We probably want to pull this into a monorepo too.", "start_time": 132.55, "end_time": 134.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "We've talked around that a couple times, and I think that's probably the best one.", "raw_text": "We've talked around that a couple times, and I think that's probably the best one.", "start_time": 134.67, "end_time": 137.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 61, "text": "You guys, I'm happy to help with that, but I'm like, can actually move this direction.", "raw_text": "You guys, I'm happy to help with that, but I'm like, can actually move this direction.", "start_time": 137.79, "end_time": 142.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 62, "text": "Plus, I'm going to be out next week, so.", "raw_text": "Plus, I'm going to be out next week, so.", "start_time": 142.22, "end_time": 144.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 63, "text": "I'm out next week.", "raw_text": "I'm out next week.", "start_time": 144.66, "end_time": 145.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 64, "text": "I can't put my trip to Japan.", "raw_text": "I can't put my trip to Japan.", "start_time": 145.74, "end_time": 148.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 65, "text": "You can't do your trip to Japan?", "raw_text": "You can't do your trip to Japan?", "start_time": 148.46, "end_time": 149.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 66, "text": "Damn.", "raw_text": "Damn.", "start_time": 149.9, "end_time": 150.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 67, "text": "I guess you got everything going on, dude.", "raw_text": "I guess you got everything going on, dude.", "start_time": 150.34, "end_time": 153.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 68, "text": "Like I said, when I sit down on the couch and fall asleep.", "raw_text": "Like I said, when I sit down on the couch and fall asleep.", "start_time": 153.74, "end_time": 156.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 69, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 156.62, "end_time": 157.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 70, "text": "I was like, yeah, no, this can't happen again.", "raw_text": "I was like, yeah, no, this can't happen again.", "start_time": 159.58, "end_time": 161.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 71, "text": "Middle of the day, I was cooked.", "raw_text": "Middle of the day, I was cooked.", "start_time": 162.06, "end_time": 163.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 72, "text": "So, yes, I might like.", "raw_text": "So, yes, I might like.", "start_time": 163.7, "end_time": 168.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 73, "text": "All right.", "raw_text": "All right.", "start_time": 168.14, "end_time": 168.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 74, "text": "You gotta just.", "raw_text": "You gotta just.", "start_time": 168.7, "end_time": 169.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 75, "text": "You can't win them all.", "raw_text": "You can't win them all.", "start_time": 170.14, "end_time": 171.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 76, "text": "What up, boss?", "raw_text": "What up, boss?", "start_time": 171.82, "end_time": 172.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 77, "text": "What's up?", "raw_text": "What's up?", "start_time": 172.66, "end_time": 173.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 78, "text": "What's up, fellas?", "raw_text": "What's up, fellas?", "start_time": 173.26, "end_time": 174.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 79, "text": "Sorry.", "raw_text": "Sorry.", "start_time": 174.1, "end_time": 174.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 80, "text": "Safeguard foundation stuff.", "raw_text": "Safeguard foundation stuff.", "start_time": 175.5, "end_time": 177.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 81, "text": "Someone's gotta pay the bills around here, right?", "raw_text": "Someone's gotta pay the bills around here, right?", "start_time": 177.58, "end_time": 179.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 82, "text": "I don't know about that.", "raw_text": "I don't know about that.", "start_time": 180.62, "end_time": 181.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 83, "text": "I was just catching Boon up with me breaking prod last week with the environment.", "raw_text": "I was just catching Boon up with me breaking prod last week with the environment.", "start_time": 184.7, "end_time": 188.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 84, "text": "Oh, buddy, I didn't tell you the four, but that one, I found one.", "raw_text": "Oh, buddy, I didn't tell you the four, but that one, I found one.", "start_time": 188.7, "end_time": 193.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 85, "text": "Did I mess up your one?", "raw_text": "Did I mess up your one?", "start_time": 193.9, "end_time": 195.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 86, "text": "No.", "raw_text": "No.", "start_time": 195.22, "end_time": 195.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 87, "text": "There was one environment variable that was still not flipped over.", "raw_text": "There was one environment variable that was still not flipped over.", "start_time": 195.5, "end_time": 198.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 88, "text": "Which one was it?", "raw_text": "Which one was it?", "start_time": 198.46, "end_time": 199.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 89, "text": "It was the better off thing.", "raw_text": "It was the better off thing.", "start_time": 199.38, "end_time": 201.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 90, "text": "I don't think I scoped.", "raw_text": "I don't think I scoped.", "start_time": 201.14, "end_time": 202.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 91, "text": "Right.", "raw_text": "Right.", "start_time": 202.02, "end_time": 202.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 92, "text": "It was the.", "raw_text": "It was the.", "start_time": 202.26, "end_time": 202.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 93, "text": "The post.", "raw_text": "The post.", "start_time": 203.42, "end_time": 204.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 94, "text": "Postgres URL.", "raw_text": "Postgres URL.", "start_time": 204.22, "end_time": 205.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 95, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 205.5, "end_time": 205.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 96, "text": "Pretty key.", "raw_text": "Pretty key.", "start_time": 206.46, "end_time": 207.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "It was pointed at the.", "raw_text": "It was pointed at the.", "start_time": 207.74, "end_time": 209.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 98, "text": "The non pooling.", "raw_text": "The non pooling.", "start_time": 209.74, "end_time": 210.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 99, "text": "It was pointed at the wrong port.", "raw_text": "It was pointed at the wrong port.", "start_time": 211.58, "end_time": 212.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 100, "text": "They got switched, actually.", "raw_text": "They got switched, actually.", "start_time": 213.02, "end_time": 214.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 101, "text": "Well, so what happened is I like, deployed.", "raw_text": "Well, so what happened is I like, deployed.", "start_time": 214.54, "end_time": 216.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 102, "text": "I just did this like RBAC admin panel cleanup, like a huge refactor.", "raw_text": "I just did this like RBAC admin panel cleanup, like a huge refactor.", "start_time": 216.86, "end_time": 221.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 103, "text": "And I was like, all right, let me push this out there.", "raw_text": "And I was like, all right, let me push this out there.", "start_time": 221.47, "end_time": 222.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 104, "text": "And then all these connection things just start.", "raw_text": "And then all these connection things just start.", "start_time": 223.51, "end_time": 226.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 105, "text": "It would work.", "raw_text": "It would work.", "start_time": 227.03, "end_time": 227.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 106, "text": "I'm like, all right, it works.", "raw_text": "I'm like, all right, it works.", "start_time": 227.59, "end_time": 228.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 107, "text": "And then it starts just randomly.", "raw_text": "And then it starts just randomly.", "start_time": 228.51, "end_time": 230.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 108, "text": "Well, yeah, because you're filling up.", "raw_text": "Well, yeah, because you're filling up.", "start_time": 230.51, "end_time": 231.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 109, "text": "Was this that day I was texting you, or is it.", "raw_text": "Was this that day I was texting you, or is it.", "start_time": 232.07, "end_time": 234.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 110, "text": "I'm like.", "raw_text": "I'm like.", "start_time": 234.39, "end_time": 234.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 111, "text": "I'm like, what did I do?", "raw_text": "I'm like, what did I do?", "start_time": 235.19, "end_time": 236.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 112, "text": "So I'm like talking to Claude about it and there were some improvements like that could be made.", "raw_text": "So I'm like talking to Claude about it and there were some improvements like that could be made.", "start_time": 236.63, "end_time": 241.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 113, "text": "But I was like, this is still not right.", "raw_text": "But I was like, this is still not right.", "start_time": 241.15, "end_time": 242.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 114, "text": "It's.", "raw_text": "It's.", "start_time": 243.03, "end_time": 243.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 115, "text": "Something's that, right?", "raw_text": "Something's that, right?", "start_time": 243.47, "end_time": 244.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "And then I remembered we had that issue.", "raw_text": "And then I remembered we had that issue.", "start_time": 244.35, "end_time": 246.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 117, "text": "I was like, all right, I gotta go look at these.", "raw_text": "I was like, all right, I gotta go look at these.", "start_time": 246.25, "end_time": 247.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 118, "text": "Yeah, well, what happened was I like, put them in correctly, I thought.", "raw_text": "Yeah, well, what happened was I like, put them in correctly, I thought.", "start_time": 247.61, "end_time": 251.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 119, "text": "And then it wasn't working.", "raw_text": "And then it wasn't working.", "start_time": 251.93, "end_time": 253.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 120, "text": "And Claude's like, just switch these.", "raw_text": "And Claude's like, just switch these.", "start_time": 253.29, "end_time": 255.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 121, "text": "I was like, okay.", "raw_text": "I was like, okay.", "start_time": 255.37, "end_time": 256.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "And it'll work.", "raw_text": "And it'll work.", "start_time": 256.65, "end_time": 257.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "I will say, especially if you did stuff with better off, like some features in Better off.", "raw_text": "I will say, especially if you did stuff with better off, like some features in Better off.", "start_time": 259.53, "end_time": 266.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 124, "text": "Don't work with the pooling URL.", "raw_text": "Don't work with the pooling URL.", "start_time": 266.57, "end_time": 268.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 125, "text": "No, they do.", "raw_text": "No, they do.", "start_time": 268.01, "end_time": 268.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 126, "text": "So it's possible that whatever you change works just fine with pooling.", "raw_text": "So it's possible that whatever you change works just fine with pooling.", "start_time": 270.41, "end_time": 274.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 127, "text": "But what you.", "raw_text": "But what you.", "start_time": 274.15, "end_time": 274.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 128, "text": "What you had before didn't.", "raw_text": "What you had before didn't.", "start_time": 274.75, "end_time": 275.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 129, "text": "Yeah, I, like, I kept trying to figure that out.", "raw_text": "Yeah, I, like, I kept trying to figure that out.", "start_time": 275.91, "end_time": 278.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 130, "text": "I kept having issues at first.", "raw_text": "I kept having issues at first.", "start_time": 278.23, "end_time": 279.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 131, "text": "I was like, man, why does it keep happening?", "raw_text": "I was like, man, why does it keep happening?", "start_time": 279.75, "end_time": 281.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 132, "text": "It's like, yeah, I added orcs.", "raw_text": "It's like, yeah, I added orcs.", "start_time": 281.59, "end_time": 283.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 133, "text": "It broke it, and then it, like.", "raw_text": "It broke it, and then it, like.", "start_time": 283.55, "end_time": 285.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 134, "text": "I don't know, it's.", "raw_text": "I don't know, it's.", "start_time": 285.15, "end_time": 286.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 135, "text": "Oh, man.", "raw_text": "Oh, man.", "start_time": 286.35, "end_time": 287.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 136, "text": "That's why we were doing the last stand up.", "raw_text": "That's why we were doing the last stand up.", "start_time": 287.23, "end_time": 289.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 137, "text": "I kept swearing because I was like, I put all these in, right, and nothing's working.", "raw_text": "I kept swearing because I was like, I put all these in, right, and nothing's working.", "start_time": 289.99, "end_time": 293.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 138, "text": "So then I just started rotating those, like, the pooling versus non pooling.", "raw_text": "So then I just started rotating those, like, the pooling versus non pooling.", "start_time": 293.27, "end_time": 297.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 139, "text": "I'm like, I don't know why.", "raw_text": "I'm like, I don't know why.", "start_time": 297.03, "end_time": 297.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 140, "text": "Like, this has got to be counterintuitive.", "raw_text": "Like, this has got to be counterintuitive.", "start_time": 297.71, "end_time": 299.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 141, "text": "But then it started working and I forgot how I left it.", "raw_text": "But then it started working and I forgot how I left it.", "start_time": 299.23, "end_time": 301.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 142, "text": "I was like, fraud works.", "raw_text": "I was like, fraud works.", "start_time": 301.75, "end_time": 302.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 143, "text": "I'm done.", "raw_text": "I'm done.", "start_time": 302.91, "end_time": 303.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 144, "text": "Yeah, I was like.", "raw_text": "Yeah, I was like.", "start_time": 304.29, "end_time": 304.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "I think it was like, late Friday night and I was like.", "raw_text": "I think it was like, late Friday night and I was like.", "start_time": 304.93, "end_time": 307.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 146, "text": "I was just trying to, like, vibe fix it on the side while I was, like, taking care of monkeys.", "raw_text": "I was just trying to, like, vibe fix it on the side while I was, like, taking care of monkeys.", "start_time": 307.29, "end_time": 311.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 147, "text": "I was like, yeah, just ship it.", "raw_text": "I was like, yeah, just ship it.", "start_time": 311.49, "end_time": 313.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 148, "text": "We'll just see if it works.", "raw_text": "We'll just see if it works.", "start_time": 313.21, "end_time": 314.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 149, "text": "How's being a dad of two?", "raw_text": "How's being a dad of two?", "start_time": 314.29, "end_time": 315.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "That's good, man.", "raw_text": "That's good, man.", "start_time": 316.13, "end_time": 317.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 151, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 317.13, "end_time": 317.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 152, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 317.49, "end_time": 317.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 153, "text": "That's so fun.", "raw_text": "That's so fun.", "start_time": 317.89, "end_time": 318.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 154, "text": "I mean, it's definitely.", "raw_text": "I mean, it's definitely.", "start_time": 318.49, "end_time": 319.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 155, "text": "Definitely more work and stuff.", "raw_text": "Definitely more work and stuff.", "start_time": 319.649, "end_time": 321.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 156, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 322.21, "end_time": 322.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 157, "text": "I had a. I mean, Caden's heard this story multiple times.", "raw_text": "I had a. I mean, Caden's heard this story multiple times.", "start_time": 322.57, "end_time": 325.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 158, "text": "Monday was a little rough.", "raw_text": "Monday was a little rough.", "start_time": 325.33, "end_time": 326.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 159, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 326.45, "end_time": 326.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 160, "text": "Well, I stayed home because Natalie got, like, woke up with a fever, so I was like, yeah.", "raw_text": "Well, I stayed home because Natalie got, like, woke up with a fever, so I was like, yeah.", "start_time": 327.81, "end_time": 333.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 161, "text": "But then, like, after nap time, she was carrying our two and a half year old down the stairs and she slipped and, like, landed on her tailbone, like, back.", "raw_text": "But then, like, after nap time, she was carrying our two and a half year old down the stairs and she slipped and, like, landed on her tailbone, like, back.", "start_time": 335.32, "end_time": 343.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 162, "text": "So she, like, bust up her tailbone a little bit and then.", "raw_text": "So she, like, bust up her tailbone a little bit and then.", "start_time": 343.44, "end_time": 347, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 163, "text": "But she was carrying my son, like, over her shoulder and his.", "raw_text": "But she was carrying my son, like, over her shoulder and his.", "start_time": 347.48, "end_time": 351.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 164, "text": "His, like, cheekbone hits the stairs and he just got like.", "raw_text": "His, like, cheekbone hits the stairs and he just got like.", "start_time": 351.44, "end_time": 355.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 165, "text": "Like he got hit pretty hard.", "raw_text": "Like he got hit pretty hard.", "start_time": 355.52, "end_time": 357.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 166, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 357.47, "end_time": 357.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 167, "text": "I was trying to call, like, got him to calm down, like, got him smelled and stuff.", "raw_text": "I was trying to call, like, got him to calm down, like, got him smelled and stuff.", "start_time": 358.47, "end_time": 362.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 168, "text": "And I was like, all right.", "raw_text": "And I was like, all right.", "start_time": 362.55, "end_time": 364.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 169, "text": "His demeanor, I was like, pretty good.", "raw_text": "His demeanor, I was like, pretty good.", "start_time": 364.31, "end_time": 365.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 170, "text": "So we go outside and swinging on the swing for a while, and it's fine.", "raw_text": "So we go outside and swinging on the swing for a while, and it's fine.", "start_time": 365.67, "end_time": 369.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 171, "text": "Well, he ends up right down the swing for 20 minutes, ends up throwing up.", "raw_text": "Well, he ends up right down the swing for 20 minutes, ends up throwing up.", "start_time": 369.67, "end_time": 373.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 172, "text": "I'm like, all right, that's not good like that.", "raw_text": "I'm like, all right, that's not good like that.", "start_time": 373.59, "end_time": 375.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 173, "text": "It's like, head injury.", "raw_text": "It's like, head injury.", "start_time": 375.87, "end_time": 377.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 174, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 377.39, "end_time": 377.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 175, "text": "Stuff.", "raw_text": "Stuff.", "start_time": 377.71, "end_time": 378.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 176, "text": "It's like, I probably gotta take me check that out.", "raw_text": "It's like, I probably gotta take me check that out.", "start_time": 379.43, "end_time": 382.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "So.", "raw_text": "So.", "start_time": 382.31, "end_time": 382.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 178, "text": "So I think actually the throw up ended up just being a fluke.", "raw_text": "So I think actually the throw up ended up just being a fluke.", "start_time": 383.65, "end_time": 386.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 179, "text": "Okay.", "raw_text": "Okay.", "start_time": 386.53, "end_time": 387.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 180, "text": "Like, maybe just too much milk sworn.", "raw_text": "Like, maybe just too much milk sworn.", "start_time": 387.01, "end_time": 389.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 181, "text": "You know, it was too soon.", "raw_text": "You know, it was too soon.", "start_time": 389.49, "end_time": 391.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 182, "text": "But, yeah, it took him in Monday night.", "raw_text": "But, yeah, it took him in Monday night.", "start_time": 391.33, "end_time": 393.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 183, "text": "And I mean, he lucked Out.", "raw_text": "And I mean, he lucked Out.", "start_time": 393.17, "end_time": 395.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 184, "text": "I think he dodged it.", "raw_text": "I think he dodged it.", "start_time": 395.25, "end_time": 396.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 185, "text": "And his.", "raw_text": "And his.", "start_time": 396.21, "end_time": 396.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 186, "text": "He just looks pretty beat up.", "raw_text": "He just looks pretty beat up.", "start_time": 397.01, "end_time": 398.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 187, "text": "I don't have an up to date one for today.", "raw_text": "I don't have an up to date one for today.", "start_time": 401.97, "end_time": 403.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 188, "text": "Like today it looks worse.", "raw_text": "Like today it looks worse.", "start_time": 403.89, "end_time": 405.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 189, "text": "Oh, he got flipping.", "raw_text": "Oh, he got flipping.", "start_time": 405.49, "end_time": 408.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 190, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 408.21, "end_time": 408.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 191, "text": "Oh yeah, that's a good one.", "raw_text": "Oh yeah, that's a good one.", "start_time": 408.61, "end_time": 409.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 192, "text": "He got the stairs like right across.", "raw_text": "He got the stairs like right across.", "start_time": 409.97, "end_time": 411.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 193, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 411.89, "end_time": 412.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 194, "text": "But he lucked out because he missed the teeth.", "raw_text": "But he lucked out because he missed the teeth.", "start_time": 412.61, "end_time": 414.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 195, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 414.09, "end_time": 414.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 196, "text": "And he missed the eye.", "raw_text": "And he missed the eye.", "start_time": 414.49, "end_time": 415.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 197, "text": "Y way worse.", "raw_text": "Y way worse.", "start_time": 415.41, "end_time": 417.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 198, "text": "They were having him like try to like fight down.", "raw_text": "They were having him like try to like fight down.", "start_time": 418.37, "end_time": 420.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 199, "text": "Stop it.", "raw_text": "Stop it.", "start_time": 420.57, "end_time": 421.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 200, "text": "Urgent care.", "raw_text": "Urgent care.", "start_time": 421.05, "end_time": 421.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 201, "text": "And they're like touching his teeth cuz like, that's a big one.", "raw_text": "And they're like touching his teeth cuz like, that's a big one.", "start_time": 421.53, "end_time": 424.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 202, "text": "Those handles could be loose.", "raw_text": "Those handles could be loose.", "start_time": 424.49, "end_time": 425.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 203, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 425.61, "end_time": 426.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 204, "text": "See, well, luckily if you lose the first pair, you got a second one.", "raw_text": "See, well, luckily if you lose the first pair, you got a second one.", "start_time": 426.53, "end_time": 429.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 205, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 429.97, "end_time": 430.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 206, "text": "Now's the attitude for a little while.", "raw_text": "Now's the attitude for a little while.", "start_time": 431.09, "end_time": 433.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 207, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 433.21, "end_time": 434.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 208, "text": "Now like today, like, it's all like swollen up into like his eye and it is his nose now.", "raw_text": "Now like today, like, it's all like swollen up into like his eye and it is his nose now.", "start_time": 434.45, "end_time": 440.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 209, "text": "Now he looks like he's been in a scrap.", "raw_text": "Now he looks like he's been in a scrap.", "start_time": 440.18, "end_time": 442.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 210, "text": "Well, you know, we all have that rite of passage.", "raw_text": "Well, you know, we all have that rite of passage.", "start_time": 443.9, "end_time": 446.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 211, "text": "He just doesn't have as good of a story.", "raw_text": "He just doesn't have as good of a story.", "start_time": 447.82, "end_time": 449.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 212, "text": "Right.", "raw_text": "Right.", "start_time": 449.66, "end_time": 450.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 213, "text": "Yeah, you can make up later.", "raw_text": "Yeah, you can make up later.", "start_time": 450.38, "end_time": 451.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 214, "text": "See the other guy, that's real.", "raw_text": "See the other guy, that's real.", "start_time": 451.58, "end_time": 455.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 215, "text": "He's doing the best out of anybody, I think.", "raw_text": "He's doing the best out of anybody, I think.", "start_time": 455.66, "end_time": 457.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 216, "text": "Right.", "raw_text": "Right.", "start_time": 457.58, "end_time": 457.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 217, "text": "He's just like rolling with it, huh?", "raw_text": "He's just like rolling with it, huh?", "start_time": 457.86, "end_time": 459.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 218, "text": "No, I think my.", "raw_text": "No, I think my.", "start_time": 459.42, "end_time": 461.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 219, "text": "I think my wife's going to go and get her tailbone checked.", "raw_text": "I think my wife's going to go and get her tailbone checked.", "start_time": 461.02, "end_time": 463.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 220, "text": "Like, I think she might have broke it.", "raw_text": "Like, I think she might have broke it.", "start_time": 463.54, "end_time": 464.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 221, "text": "Damn.", "raw_text": "Damn.", "start_time": 465.04, "end_time": 465.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 222, "text": "Yeah, tailbone sucks too.", "raw_text": "Yeah, tailbone sucks too.", "start_time": 465.36, "end_time": 468, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 223, "text": "It's just like you can't do it.", "raw_text": "It's just like you can't do it.", "start_time": 468.08, "end_time": 469.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 224, "text": "It just hurts.", "raw_text": "It just hurts.", "start_time": 469.6, "end_time": 470.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 225, "text": "Taking care of your kids all day every day, that's already hard enough.", "raw_text": "Taking care of your kids all day every day, that's already hard enough.", "start_time": 470.56, "end_time": 474.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 226, "text": "I just feel.", "raw_text": "I just feel.", "start_time": 475.68, "end_time": 476.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 227, "text": "I just feel so bad.", "raw_text": "I just feel so bad.", "start_time": 476.32, "end_time": 477.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 228, "text": "Yeah, well, like after like pregnancy too, like your.", "raw_text": "Yeah, well, like after like pregnancy too, like your.", "start_time": 477.28, "end_time": 480.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 229, "text": "Your bones are pretty much just brittle.", "raw_text": "Your bones are pretty much just brittle.", "start_time": 480.72, "end_time": 482.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 230, "text": "Yeah, it takes all the nutrients because my sister, my one sister broke her heel after pregnancy.", "raw_text": "Yeah, it takes all the nutrients because my sister, my one sister broke her heel after pregnancy.", "start_time": 482.8, "end_time": 490.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 231, "text": "Yeah, well, she, she's so.", "raw_text": "Yeah, well, she, she's so.", "start_time": 492.98, "end_time": 495.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 232, "text": "She's an acro firefighter, so she was just like running in the national park after pregnancy, like, and she like, she.", "raw_text": "She's an acro firefighter, so she was just like running in the national park after pregnancy, like, and she like, she.", "start_time": 495.74, "end_time": 502.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 233, "text": "She stepped on a stick that was under some leaves and she like hit it and she's like, man, she's like, I thought I like rolled my.", "raw_text": "She stepped on a stick that was under some leaves and she like hit it and she's like, man, she's like, I thought I like rolled my.", "start_time": 502.1, "end_time": 508.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 234, "text": "She's like, I thought I rolled my ankle.", "raw_text": "She's like, I thought I rolled my ankle.", "start_time": 508.02, "end_time": 509.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 235, "text": "She goes.", "raw_text": "She goes.", "start_time": 509.42, "end_time": 509.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "But I took a step and I was like, oh my gosh, like something's not right.", "raw_text": "But I took a step and I was like, oh my gosh, like something's not right.", "start_time": 509.82, "end_time": 513.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 237, "text": "And like she goes in and it was literally just like a line, like straight through, like straight, like, damn.", "raw_text": "And like she goes in and it was literally just like a line, like straight through, like straight, like, damn.", "start_time": 513.54, "end_time": 521.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 238, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 521.53, "end_time": 521.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 239, "text": "And I was like, dang, that's crazy.", "raw_text": "And I was like, dang, that's crazy.", "start_time": 521.89, "end_time": 524.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 240, "text": "And that's where I was like, I'm a firm believer.", "raw_text": "And that's where I was like, I'm a firm believer.", "start_time": 524.05, "end_time": 525.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 241, "text": "Even though, like, I mean, she fell on the stairs and like for us it'll probably all be a bone bruise.", "raw_text": "Even though, like, I mean, she fell on the stairs and like for us it'll probably all be a bone bruise.", "start_time": 528.49, "end_time": 532.889, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 242, "text": "Yeah, she might have flipping broke something.", "raw_text": "Yeah, she might have flipping broke something.", "start_time": 532.889, "end_time": 535.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 243, "text": "Yeah, it's freaking sucks she gets checked out.", "raw_text": "Yeah, it's freaking sucks she gets checked out.", "start_time": 536.09, "end_time": 539.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 244, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 539.21, "end_time": 539.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 245, "text": "But.", "raw_text": "But.", "start_time": 540.97, "end_time": 541.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 246, "text": "Well, she's feeling a little better today.", "raw_text": "Well, she's feeling a little better today.", "start_time": 541.33, "end_time": 542.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 247, "text": "And she's like, well, no, I don't need to go in now.", "raw_text": "And she's like, well, no, I don't need to go in now.", "start_time": 542.77, "end_time": 544.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 248, "text": "I'm like, just go get a check.", "raw_text": "I'm like, just go get a check.", "start_time": 544.93, "end_time": 546.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 249, "text": "You go get a check.", "raw_text": "You go get a check.", "start_time": 549.34, "end_time": 550.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 550.38, "end_time": 550.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 251, "text": "Because they're gonna be wondering, right?", "raw_text": "Because they're gonna be wondering, right?", "start_time": 550.74, "end_time": 553.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 252, "text": "So.", "raw_text": "So.", "start_time": 553.9, "end_time": 554.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 253, "text": "Well, I hope she.", "raw_text": "Well, I hope she.", "start_time": 554.54, "end_time": 555.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 254, "text": "She listens.", "raw_text": "She listens.", "start_time": 555.58, "end_time": 556.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 255, "text": "So I made it back in today.", "raw_text": "So I made it back in today.", "start_time": 557.34, "end_time": 558.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "We missed you.", "raw_text": "We missed you.", "start_time": 559.74, "end_time": 560.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 257, "text": "See if we see you tomorrow night.", "raw_text": "See if we see you tomorrow night.", "start_time": 560.46, "end_time": 561.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 258, "text": "Yeah, I think we're off tomorrow.", "raw_text": "Yeah, I think we're off tomorrow.", "start_time": 562.38, "end_time": 564.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 259, "text": "Yeah, like, we're off tomorrow.", "raw_text": "Yeah, like, we're off tomorrow.", "start_time": 564.14, "end_time": 565.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 260, "text": "Is everyone.", "raw_text": "Is everyone.", "start_time": 565.38, "end_time": 565.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 261, "text": "That's what Larry said.", "raw_text": "That's what Larry said.", "start_time": 565.86, "end_time": 566.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 262, "text": "Okay.", "raw_text": "Okay.", "start_time": 567.02, "end_time": 567.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 263, "text": "I told everyone who asked me.", "raw_text": "I told everyone who asked me.", "start_time": 567.58, "end_time": 569.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 264, "text": "I said, don't come in.", "raw_text": "I said, don't come in.", "start_time": 569.06, "end_time": 569.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 265, "text": "So if people don't show up, you can blame me.", "raw_text": "So if people don't show up, you can blame me.", "start_time": 569.9, "end_time": 571.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 266, "text": "I think everyone did not show up.", "raw_text": "I think everyone did not show up.", "start_time": 571.54, "end_time": 572.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 267, "text": "I'm talking to guys, like, everyone, let's go to truck park tonight getting hammered and then sober up on sounds good.", "raw_text": "I'm talking to guys, like, everyone, let's go to truck park tonight getting hammered and then sober up on sounds good.", "start_time": 573.58, "end_time": 581.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 268, "text": "Yeah, we'll have my niece with us.", "raw_text": "Yeah, we'll have my niece with us.", "start_time": 582.28, "end_time": 584.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 269, "text": "So normally when we can have my niece and the two.", "raw_text": "So normally when we can have my niece and the two.", "start_time": 585.32, "end_time": 589.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 270, "text": "But I don't know, we may end up with our beast.", "raw_text": "But I don't know, we may end up with our beast.", "start_time": 590.44, "end_time": 592.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 271, "text": "That's that.", "raw_text": "That's that.", "start_time": 592.84, "end_time": 593.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 272, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 593.72, "end_time": 594.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 273, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 596.2, "end_time": 596.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 274, "text": "So we'll see.", "raw_text": "So we'll see.", "start_time": 596.64, "end_time": 597.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 275, "text": "She may end up coming, saving us.", "raw_text": "She may end up coming, saving us.", "start_time": 597.56, "end_time": 599.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 276, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 599.16, "end_time": 599.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "That's a good age.", "raw_text": "That's a good age.", "start_time": 600.04, "end_time": 600.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 278, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 600.84, "end_time": 601.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 279, "text": "I mean, we get on great too.", "raw_text": "I mean, we get on great too.", "start_time": 601.16, "end_time": 602.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 280, "text": "I mean, but wasn't planned.", "raw_text": "I mean, but wasn't planned.", "start_time": 602.72, "end_time": 605, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 281, "text": "I started off the year moving in with two.", "raw_text": "I started off the year moving in with two.", "start_time": 605.83, "end_time": 608.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 282, "text": "Now I'm gonna have three.", "raw_text": "Now I'm gonna have three.", "start_time": 609.03, "end_time": 610.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 283, "text": "Once you start rolling, just keep.", "raw_text": "Once you start rolling, just keep.", "start_time": 611.43, "end_time": 612.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 284, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 612.95, "end_time": 614.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 285, "text": "So I don't have a bum in the four year old is funny.", "raw_text": "So I don't have a bum in the four year old is funny.", "start_time": 615.19, "end_time": 619.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 286, "text": "Oh, he doesn't mean to be, but he is hilarious.", "raw_text": "Oh, he doesn't mean to be, but he is hilarious.", "start_time": 619.19, "end_time": 621.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 287, "text": "And you just have to kind of.", "raw_text": "And you just have to kind of.", "start_time": 622.15, "end_time": 623.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 288, "text": "You can't always let them know it's funny.", "raw_text": "You can't always let them know it's funny.", "start_time": 624.95, "end_time": 627.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 627.03, "end_time": 627.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "Oh, no.", "raw_text": "Oh, no.", "start_time": 627.59, "end_time": 628.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "That's it.", "raw_text": "That's it.", "start_time": 628.23, "end_time": 628.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 292, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 628.63, "end_time": 628.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 293, "text": "Even with Reed.", "raw_text": "Even with Reed.", "start_time": 628.99, "end_time": 629.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 294, "text": "Even with Reed still.", "raw_text": "Even with Reed still.", "start_time": 629.83, "end_time": 630.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 295, "text": "I mean, my son's like, just a little over two and a half and he's starting to get like, funny funny.", "raw_text": "I mean, my son's like, just a little over two and a half and he's starting to get like, funny funny.", "start_time": 631.59, "end_time": 637.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 296, "text": "And it's like they're always just saying stuff.", "raw_text": "And it's like they're always just saying stuff.", "start_time": 637.19, "end_time": 639.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 297, "text": "He's like, dude, it's like, I gotta discipline you right now in front of mom.", "raw_text": "He's like, dude, it's like, I gotta discipline you right now in front of mom.", "start_time": 639.15, "end_time": 644.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 298, "text": "But that was hilarious.", "raw_text": "But that was hilarious.", "start_time": 644.07, "end_time": 645.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 299, "text": "Yep.", "raw_text": "Yep.", "start_time": 646.75, "end_time": 647.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 300, "text": "Yep.", "raw_text": "Yep.", "start_time": 647.47, "end_time": 648.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 301, "text": "It's fun, though.", "raw_text": "It's fun, though.", "start_time": 648.749, "end_time": 649.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 302, "text": "I'm enjoying it.", "raw_text": "I'm enjoying it.", "start_time": 649.51, "end_time": 650.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 303, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 650.67, "end_time": 651.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 304, "text": "Hopefully.", "raw_text": "Hopefully.", "start_time": 651.47, "end_time": 652.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 305, "text": "In case at the age though, probably similar to your kid, like, he doesn't.", "raw_text": "In case at the age though, probably similar to your kid, like, he doesn't.", "start_time": 652.43, "end_time": 657.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 306, "text": "He's not crying as much anymore when something bad happens.", "raw_text": "He's not crying as much anymore when something bad happens.", "start_time": 657.27, "end_time": 660.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 307, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 660.11, "end_time": 660.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 308, "text": "So like the other day he comes upstairs and he's like, mommy.", "raw_text": "So like the other day he comes upstairs and he's like, mommy.", "start_time": 660.47, "end_time": 664.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 309, "text": "And we're like, looking at him.", "raw_text": "And we're like, looking at him.", "start_time": 665.2, "end_time": 666.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 310, "text": "We're both just like, kind of looking at each other like, k, why is your lip bleeding?", "raw_text": "We're both just like, kind of looking at each other like, k, why is your lip bleeding?", "start_time": 666.52, "end_time": 669.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 311, "text": "He's like, tell mommy.", "raw_text": "He's like, tell mommy.", "start_time": 669.68, "end_time": 672.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "They was like, oh, yeah.", "raw_text": "They was like, oh, yeah.", "start_time": 675.36, "end_time": 677.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 313, "text": "Like, didn't care.", "raw_text": "Like, didn't care.", "start_time": 677.52, "end_time": 678.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "I was like, oh, this is gonna be bad.", "raw_text": "I was like, oh, this is gonna be bad.", "start_time": 678.28, "end_time": 679.759, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "He gonna be jumping from the top floor.", "raw_text": "He gonna be jumping from the top floor.", "start_time": 679.759, "end_time": 681.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 316, "text": "Like we got, like.", "raw_text": "Like we got, like.", "start_time": 681.6, "end_time": 682.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 317, "text": "Because he clearly is.", "raw_text": "Because he clearly is.", "start_time": 682.8, "end_time": 684.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 318, "text": "He's lost that mommy.", "raw_text": "He's lost that mommy.", "start_time": 685.68, "end_time": 687.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 319, "text": "This is a scary thing.", "raw_text": "This is a scary thing.", "start_time": 687.48, "end_time": 688.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 320, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 689.2, "end_time": 690, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 321, "text": "I'm having fun.", "raw_text": "I'm having fun.", "start_time": 690.48, "end_time": 691.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 322, "text": "Like, my one nephew's that way, and I think Marky's that way.", "raw_text": "Like, my one nephew's that way, and I think Marky's that way.", "start_time": 691.68, "end_time": 694.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 323, "text": "Like, you don't know if he's.", "raw_text": "Like, you don't know if he's.", "start_time": 694.84, "end_time": 697.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "Something really wrong.", "raw_text": "Something really wrong.", "start_time": 697.47, "end_time": 698.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 325, "text": "Right?", "raw_text": "Right?", "start_time": 698.35, "end_time": 698.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 326, "text": "Like, it's really hard to tell.", "raw_text": "Like, it's really hard to tell.", "start_time": 698.63, "end_time": 699.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 327, "text": "That's why I had to take him into urgent care.", "raw_text": "That's why I had to take him into urgent care.", "start_time": 699.87, "end_time": 701.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 328, "text": "I'm like, dude, you're like, your face could be fractured.", "raw_text": "I'm like, dude, you're like, your face could be fractured.", "start_time": 701.27, "end_time": 704.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 329, "text": "I wouldn't.", "raw_text": "I wouldn't.", "start_time": 704.27, "end_time": 704.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 330, "text": "Like, you wouldn't tell me.", "raw_text": "Like, you wouldn't tell me.", "start_time": 704.87, "end_time": 706.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 331, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 706.07, "end_time": 706.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "You just keep walking around.", "raw_text": "You just keep walking around.", "start_time": 706.71, "end_time": 707.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 333, "text": "So I was like, yeah, this is going to be interesting.", "raw_text": "So I was like, yeah, this is going to be interesting.", "start_time": 707.95, "end_time": 709.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "I think he's going to be.", "raw_text": "I think he's going to be.", "start_time": 710.11, "end_time": 711.189, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 335, "text": "He's gonna have a few casts before he gets the teenage.", "raw_text": "He's gonna have a few casts before he gets the teenage.", "start_time": 711.189, "end_time": 713.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "Yeah, that was.", "raw_text": "Yeah, that was.", "start_time": 713.71, "end_time": 714.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 337, "text": "I had a lot of cast this time.", "raw_text": "I had a lot of cast this time.", "start_time": 714.71, "end_time": 716.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 338, "text": "I was a mess.", "raw_text": "I was a mess.", "start_time": 716.35, "end_time": 717.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 339, "text": "I'm marking Cade the same way.", "raw_text": "I'm marking Cade the same way.", "start_time": 718.51, "end_time": 720.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "Kyrie, not so much.", "raw_text": "Kyrie, not so much.", "start_time": 720.99, "end_time": 722.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 341, "text": "We went to an indoor playground this weekend and she got on something and she was like, this is dangerous.", "raw_text": "We went to an indoor playground this weekend and she got on something and she was like, this is dangerous.", "start_time": 722.23, "end_time": 727.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 342, "text": "And so she just stayed up there.", "raw_text": "And so she just stayed up there.", "start_time": 727.33, "end_time": 728.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 343, "text": "I had to go get it.", "raw_text": "I had to go get it.", "start_time": 728.45, "end_time": 729.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "I was.", "raw_text": "I was.", "start_time": 730.73, "end_time": 731.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 345, "text": "Everybody was going that.", "raw_text": "Everybody was going that.", "start_time": 731.17, "end_time": 732.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 346, "text": "She's like, nope, right here.", "raw_text": "She's like, nope, right here.", "start_time": 732.13, "end_time": 734.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 347, "text": "Can on hand.", "raw_text": "Can on hand.", "start_time": 734.97, "end_time": 735.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 348, "text": "Falling through the wind.", "raw_text": "Falling through the wind.", "start_time": 736.17, "end_time": 737.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 349, "text": "I love kids, man.", "raw_text": "I love kids, man.", "start_time": 737.93, "end_time": 739.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 350, "text": "All right, let's.", "raw_text": "All right, let's.", "start_time": 742.41, "end_time": 743.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 351, "text": "Let's get to.", "raw_text": "Let's get to.", "start_time": 743.13, "end_time": 743.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 352, "text": "Let's get the foundation.", "raw_text": "Let's get the foundation.", "start_time": 743.69, "end_time": 744.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 353, "text": "Foundation stuff.", "raw_text": "Foundation stuff.", "start_time": 744.61, "end_time": 745.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 354, "text": "I have about 20,000 lines of code we talk about.", "raw_text": "I have about 20,000 lines of code we talk about.", "start_time": 745.65, "end_time": 747.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "Oh, I thought we were passed between battle.", "raw_text": "Oh, I thought we were passed between battle.", "start_time": 748.01, "end_time": 752.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 356, "text": "Speak for yourself.", "raw_text": "Speak for yourself.", "start_time": 754.33, "end_time": 755.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 357, "text": "I know I've been on like a stability, like, right.", "raw_text": "I know I've been on like a stability, like, right.", "start_time": 755.69, "end_time": 758.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 358, "text": "Frenzy with the safeguard stuff, so don't you screw up my stability.", "raw_text": "Frenzy with the safeguard stuff, so don't you screw up my stability.", "start_time": 759.05, "end_time": 763.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 359, "text": "No promises.", "raw_text": "No promises.", "start_time": 764.65, "end_time": 765.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 360, "text": "Well, currently I'm just kind of floating.", "raw_text": "Well, currently I'm just kind of floating.", "start_time": 767.29, "end_time": 769.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 361, "text": "I don't even know pr.", "raw_text": "I don't even know pr.", "start_time": 769.61, "end_time": 770.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "It's not even connected.", "raw_text": "It's not even connected.", "start_time": 770.37, "end_time": 771.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "But, well, well.", "raw_text": "But, well, well.", "start_time": 772.17, "end_time": 773.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "So then I said before you.", "raw_text": "So then I said before you.", "start_time": 773.41, "end_time": 775.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 365, "text": "My main focus, at least on the safeguard side, we're going to get them access to their, like, provision.", "raw_text": "My main focus, at least on the safeguard side, we're going to get them access to their, like, provision.", "start_time": 777.45, "end_time": 782.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 366, "text": "Instance.", "raw_text": "Instance.", "start_time": 782.85, "end_time": 783.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "Okay.", "raw_text": "Okay.", "start_time": 783.41, "end_time": 783.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 368, "text": "Probably early next week or end of this week.", "raw_text": "Probably early next week or end of this week.", "start_time": 783.93, "end_time": 786.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 369, "text": "Okay.", "raw_text": "Okay.", "start_time": 786.93, "end_time": 787.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 370, "text": "Are they gonna own the Vercel or, like, did we figure that out yet?", "raw_text": "Are they gonna own the Vercel or, like, did we figure that out yet?", "start_time": 787.25, "end_time": 790.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 371, "text": "They haven't decided yet.", "raw_text": "They haven't decided yet.", "start_time": 790.41, "end_time": 791.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "I'm hoping they're like, we'll just create our own Vercel account so we can get in there.", "raw_text": "I'm hoping they're like, we'll just create our own Vercel account so we can get in there.", "start_time": 791.61, "end_time": 795.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 373, "text": "I'm like, sweet.", "raw_text": "I'm like, sweet.", "start_time": 795.61, "end_time": 796.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 374, "text": "We can just transfer it over and, like, call it a day.", "raw_text": "We can just transfer it over and, like, call it a day.", "start_time": 796.89, "end_time": 799.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 375, "text": "And Green Bomb doesn't flipping care.", "raw_text": "And Green Bomb doesn't flipping care.", "start_time": 800.49, "end_time": 802.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 376, "text": "He's just like, I don't care what the data rules are, just let me go.", "raw_text": "He's just like, I don't care what the data rules are, just let me go.", "start_time": 802.21, "end_time": 805.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 377, "text": "Yeah, but one piece from their initial build that we don't have in the current workflow builder is being able to associate, like, UI slash components, slash an app with a workflow result.", "raw_text": "Yeah, but one piece from their initial build that we don't have in the current workflow builder is being able to associate, like, UI slash components, slash an app with a workflow result.", "start_time": 806.21, "end_time": 818.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 378, "text": "So for theirs, it's really nice because you're doing a property inspection where you're doing vision analysis on all these photos and you're detecting conditions and you almost want like a report at the end.", "raw_text": "So for theirs, it's really nice because you're doing a property inspection where you're doing vision analysis on all these photos and you're detecting conditions and you almost want like a report at the end.", "start_time": 818.93, "end_time": 830.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 379, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 830.41, "end_time": 830.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 380, "text": "You want to report It.", "raw_text": "You want to report It.", "start_time": 830.61, "end_time": 831.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 381, "text": "So, like, before you could run that chat and be like, okay, this worked.", "raw_text": "So, like, before you could run that chat and be like, okay, this worked.", "start_time": 831.41, "end_time": 835.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 382, "text": "I can see these photos and this issue.", "raw_text": "I can see these photos and this issue.", "start_time": 835.19, "end_time": 837.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 383, "text": "So I'm just doing a quick, a quick like PR to get that back in.", "raw_text": "So I'm just doing a quick, a quick like PR to get that back in.", "start_time": 838.99, "end_time": 845.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 384, "text": "But Kaden and Justin have been doing some POCs and stuff on like the UI app type side that might have some crisscross there.", "raw_text": "But Kaden and Justin have been doing some POCs and stuff on like the UI app type side that might have some crisscross there.", "start_time": 845.55, "end_time": 854.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 385, "text": "So I'm trying to figure out, like, should I do a quick and dirty.", "raw_text": "So I'm trying to figure out, like, should I do a quick and dirty.", "start_time": 854.03, "end_time": 856.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 386, "text": "Get this in and then we can reconcile with that.", "raw_text": "Get this in and then we can reconcile with that.", "start_time": 856.83, "end_time": 858.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 387, "text": "Or keep it separate.", "raw_text": "Or keep it separate.", "start_time": 859.73, "end_time": 860.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 388, "text": "Or just keep it separate.", "raw_text": "Or just keep it separate.", "start_time": 860.77, "end_time": 861.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 389, "text": "Yeah, because like there's a. I don't want to get into a rabbit hole.", "raw_text": "Yeah, because like there's a. I don't want to get into a rabbit hole.", "start_time": 861.93, "end_time": 866.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 390, "text": "Not be able to ship this.", "raw_text": "Not be able to ship this.", "start_time": 866.17, "end_time": 867.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 391, "text": "Yeah, because they want.", "raw_text": "Yeah, because they want.", "start_time": 867.25, "end_time": 868.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 392, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 868.25, "end_time": 868.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 393, "text": "Asap.", "raw_text": "Asap.", "start_time": 868.85, "end_time": 869.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 394, "text": "That's.", "raw_text": "That's.", "start_time": 869.45, "end_time": 869.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 395, "text": "We got delivery responsibility.", "raw_text": "We got delivery responsibility.", "start_time": 870.13, "end_time": 871.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 396, "text": "So I'd almost just say keep it separate, you know, then we'll harden the new feature set and at some point it'll make sense to migrate it to the new feature set.", "raw_text": "So I'd almost just say keep it separate, you know, then we'll harden the new feature set and at some point it'll make sense to migrate it to the new feature set.", "start_time": 871.89, "end_time": 881.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 397, "text": "Right.", "raw_text": "Right.", "start_time": 881.69, "end_time": 882.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 398, "text": "But I doubt the feature set is stable.", "raw_text": "But I doubt the feature set is stable.", "start_time": 882.01, "end_time": 883.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 399, "text": "Yep.", "raw_text": "Yep.", "start_time": 883.81, "end_time": 884.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 400, "text": "Could just.", "raw_text": "Could just.", "start_time": 884.33, "end_time": 884.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 401, "text": "That was going to be my.", "raw_text": "That was going to be my.", "start_time": 885.46, "end_time": 886.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 402, "text": "Yeah, yeah, I said ship the stable one.", "raw_text": "Yeah, yeah, I said ship the stable one.", "start_time": 886.3, "end_time": 888.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 403, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 888.14, "end_time": 888.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 404, "text": "Separate.", "raw_text": "Separate.", "start_time": 888.9, "end_time": 889.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 405, "text": "My decision.", "raw_text": "My decision.", "start_time": 890.26, "end_time": 890.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 406, "text": "Yeah, that's probably the right decision.", "raw_text": "Yeah, that's probably the right decision.", "start_time": 891.62, "end_time": 893.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 407, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 893.38, "end_time": 893.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 408, "text": "Because I, I do think there's a really cool use case that's come up with Hinkley and with Safeguard of like embedding foundation in their platforms and their internal tools.", "raw_text": "Because I, I do think there's a really cool use case that's come up with Hinkley and with Safeguard of like embedding foundation in their platforms and their internal tools.", "start_time": 893.74, "end_time": 905.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 409, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 905.82, "end_time": 906.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 410, "text": "Like, Safeguard wants to do our next arrangement letter with them is called Preserve AI.", "raw_text": "Like, Safeguard wants to do our next arrangement letter with them is called Preserve AI.", "start_time": 906.9, "end_time": 912.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 411, "text": "So they want a foundation to facilitate like kicking off these workflows from their client portal.", "raw_text": "So they want a foundation to facilitate like kicking off these workflows from their client portal.", "start_time": 912.54, "end_time": 918.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 412, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 918.62, "end_time": 919.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 413, "text": "So log into their client portal.", "raw_text": "So log into their client portal.", "start_time": 919.02, "end_time": 920.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 414, "text": "They see like all the different agents slash workflows they've made and a client can just choose an order or property and just hit run.", "raw_text": "They see like all the different agents slash workflows they've made and a client can just choose an order or property and just hit run.", "start_time": 920.46, "end_time": 927.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 415, "text": "It'll.", "raw_text": "It'll.", "start_time": 928.139, "end_time": 928.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 416, "text": "It'll like colon Kim back a result.", "raw_text": "It'll like colon Kim back a result.", "start_time": 928.78, "end_time": 930.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 417, "text": "But like, even for like the result piece is like, yeah, we can have a URL where you can pull that output.", "raw_text": "But like, even for like the result piece is like, yeah, we can have a URL where you can pull that output.", "start_time": 932.3, "end_time": 936.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 418, "text": "But who owns the components of that?", "raw_text": "But who owns the components of that?", "start_time": 937.42, "end_time": 940.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 419, "text": "Like right now we're just going to do a new react app.", "raw_text": "Like right now we're just going to do a new react app.", "start_time": 940.83, "end_time": 943.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 420, "text": "Right?", "raw_text": "Right?", "start_time": 943.71, "end_time": 944.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 421, "text": "Yeah, it's the phenomena.", "raw_text": "Yeah, it's the phenomena.", "start_time": 944.07, "end_time": 945.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 422, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 945.55, "end_time": 946.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 423, "text": "But like that could be just an iframe.", "raw_text": "But like that could be just an iframe.", "start_time": 946.35, "end_time": 949.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 424, "text": "Right.", "raw_text": "Right.", "start_time": 949.03, "end_time": 949.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 425, "text": "For an app on our side there's some security stuff.", "raw_text": "For an app on our side there's some security stuff.", "start_time": 949.23, "end_time": 952.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 426, "text": "But like that's a pretty sweet use case.", "raw_text": "But like that's a pretty sweet use case.", "start_time": 952.35, "end_time": 954.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 427, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 954.87, "end_time": 955.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 428, "text": "And then for Hinkley, they.", "raw_text": "And then for Hinkley, they.", "start_time": 955.19, "end_time": 956.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 429, "text": "They embedded the whole foundation app in their internal like customer port or internal like employee portal.", "raw_text": "They embedded the whole foundation app in their internal like customer port or internal like employee portal.", "start_time": 956.75, "end_time": 964.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 430, "text": "So they have like a tab that's, you know, Hinkly AI.", "raw_text": "So they have like a tab that's, you know, Hinkly AI.", "start_time": 965.07, "end_time": 968.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 431, "text": "You click it and it opens up its foundation, which is pretty sweet.", "raw_text": "You click it and it opens up its foundation, which is pretty sweet.", "start_time": 968.59, "end_time": 972.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 432, "text": "That's really sweet.", "raw_text": "That's really sweet.", "start_time": 972.67, "end_time": 973.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 433, "text": "I thought that we were like available to.", "raw_text": "I thought that we were like available to.", "start_time": 973.59, "end_time": 976.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 434, "text": "You sit that way.", "raw_text": "You sit that way.", "start_time": 976.67, "end_time": 977.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 435, "text": "This is like what, a year ago though?", "raw_text": "This is like what, a year ago though?", "start_time": 979.23, "end_time": 981.149, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 436, "text": "Like.", "raw_text": "Like.", "start_time": 981.87, "end_time": 982.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 437, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 982.35, "end_time": 982.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 438, "text": "This is like, might be a Year ago.", "raw_text": "This is like, might be a Year ago.", "start_time": 982.87, "end_time": 984.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 439, "text": "Right.", "raw_text": "Right.", "start_time": 984.63, "end_time": 984.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 440, "text": "They're on a very early and they have like a unique.", "raw_text": "They're on a very early and they have like a unique.", "start_time": 984.95, "end_time": 987.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 441, "text": "I did have to fix one, like iframe issue with authorizing, but they're just, they're just Microsoft oauth.", "raw_text": "I did have to fix one, like iframe issue with authorizing, but they're just, they're just Microsoft oauth.", "start_time": 987.39, "end_time": 994.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 442, "text": "So it's like it was super dry, but yeah, that's what's going on there.", "raw_text": "So it's like it was super dry, but yeah, that's what's going on there.", "start_time": 994.52, "end_time": 999.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 443, "text": "So at least from like the app side of things, I mean, we see the use cases for us internally to be able to do dashboards and different things and make those portable and reusable.", "raw_text": "So at least from like the app side of things, I mean, we see the use cases for us internally to be able to do dashboards and different things and make those portable and reusable.", "start_time": 1001.16, "end_time": 1010.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 444, "text": "But from a client perspective, it's like embedding it in the other tools they have.", "raw_text": "But from a client perspective, it's like embedding it in the other tools they have.", "start_time": 1011.64, "end_time": 1015.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 445, "text": "I just thought it was an interesting flavor.", "raw_text": "I just thought it was an interesting flavor.", "start_time": 1015.48, "end_time": 1018.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 446, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1018.51, "end_time": 1018.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 447, "text": "I got three things.", "raw_text": "I got three things.", "start_time": 1019.79, "end_time": 1020.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 448, "text": "I'll do two of them quick.", "raw_text": "I'll do two of them quick.", "start_time": 1020.71, "end_time": 1021.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 449, "text": "The first one was this, the staging stuff we were kind of talking about.", "raw_text": "The first one was this, the staging stuff we were kind of talking about.", "start_time": 1022.35, "end_time": 1024.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 450, "text": "But I do think like with you talking about getting these out stable, like we'll have to figure out like an actual staging for like the next group of things and Yeah, I know like that might be something you guys talk through next week or that'll be like an as needed basis.", "raw_text": "But I do think like with you talking about getting these out stable, like we'll have to figure out like an actual staging for like the next group of things and Yeah, I know like that might be something you guys talk through next week or that'll be like an as needed basis.", "start_time": 1024.95, "end_time": 1036.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 451, "text": "But David was saying it probably makes sense for like him or Justin to set up the staging for the data platform at some point and then probably makes sense at some point to make that a mono repo, but it's not a top priority.", "raw_text": "But David was saying it probably makes sense for like him or Justin to set up the staging for the data platform at some point and then probably makes sense at some point to make that a mono repo, but it's not a top priority.", "start_time": 1036.55, "end_time": 1047.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 452, "text": "Like we're kind of living with it right now.", "raw_text": "Like we're kind of living with it right now.", "start_time": 1047.23, "end_time": 1048.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 453, "text": "The other thing then that kind of going into my second thing which could be related later, is I sat down with Christopher and Sam the last couple days and went through like Christopher's open claw stuff and Sam's quad code stuff and co work.", "raw_text": "The other thing then that kind of going into my second thing which could be related later, is I sat down with Christopher and Sam the last couple days and went through like Christopher's open claw stuff and Sam's quad code stuff and co work.", "start_time": 1049.5, "end_time": 1062.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 454, "text": "And honestly I'm pretty impressed by like how far both of them were.", "raw_text": "And honestly I'm pretty impressed by like how far both of them were.", "start_time": 1062.06, "end_time": 1064.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 455, "text": "I mean, there's some stuff that's like, wow, like if I could just fix this for you, like this would be even better and like ways to share.", "raw_text": "I mean, there's some stuff that's like, wow, like if I could just fix this for you, like this would be even better and like ways to share.", "start_time": 1064.78, "end_time": 1071.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 456, "text": "I think you've like looked through it and it's like, okay, like if I could just take.", "raw_text": "I think you've like looked through it and it's like, okay, like if I could just take.", "start_time": 1071.14, "end_time": 1074.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 457, "text": "It's on the same stuff.", "raw_text": "It's on the same stuff.", "start_time": 1074.1, "end_time": 1075.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 458, "text": "Both, well bull stoffers.", "raw_text": "Both, well bull stoffers.", "start_time": 1075.59, "end_time": 1077.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 459, "text": "Like hilarious to me that like this dude is doing so many coolest thing I've ever seen with these like networking knowledge graphs.", "raw_text": "Like hilarious to me that like this dude is doing so many coolest thing I've ever seen with these like networking knowledge graphs.", "start_time": 1077.27, "end_time": 1082.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 460, "text": "And every time he adds an API key, breaks his JSON file and has to like read onboard his openflow, it's like, bro, how are you getting thus far?", "raw_text": "And every time he adds an API key, breaks his JSON file and has to like read onboard his openflow, it's like, bro, how are you getting thus far?", "start_time": 1082.43, "end_time": 1089.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 461, "text": "That's.", "raw_text": "That's.", "start_time": 1091.429, "end_time": 1091.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 462, "text": "That's crazy.", "raw_text": "That's crazy.", "start_time": 1092.31, "end_time": 1093.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 463, "text": "That's the new world.", "raw_text": "That's the new world.", "start_time": 1093.19, "end_time": 1094.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 464, "text": "Yeah, that's the new world.", "raw_text": "Yeah, that's the new world.", "start_time": 1094.15, "end_time": 1095.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 465, "text": "That's nut.", "raw_text": "That's nut.", "start_time": 1097.11, "end_time": 1098.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 466, "text": "Okay.", "raw_text": "Okay.", "start_time": 1098.03, "end_time": 1098.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 467, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1098.63, "end_time": 1098.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 468, "text": "But he's got such cool stuff, so he sent me some of those and then Sam stuff.", "raw_text": "But he's got such cool stuff, so he sent me some of those and then Sam stuff.", "start_time": 1098.99, "end_time": 1102.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 469, "text": "So cool.", "raw_text": "So cool.", "start_time": 1102.9, "end_time": 1103.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 470, "text": "But I think there's like.", "raw_text": "But I think there's like.", "start_time": 1103.38, "end_time": 1104.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 471, "text": "I mean, Sam will admit there's so much redundancy in what he's doing, but it's because he had kind of shipped his own system.", "raw_text": "I mean, Sam will admit there's so much redundancy in what he's doing, but it's because he had kind of shipped his own system.", "start_time": 1104.62, "end_time": 1109.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 472, "text": "So it's Sam did was he has like a Claude work folder locally on his computer which he backed up in OneDrive, which is sweet.", "raw_text": "So it's Sam did was he has like a Claude work folder locally on his computer which he backed up in OneDrive, which is sweet.", "start_time": 1109.86, "end_time": 1116.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 473, "text": "So he can put it between multiple devices automatically.", "raw_text": "So he can put it between multiple devices automatically.", "start_time": 1116.54, "end_time": 1119.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 474, "text": "And he put in there like a Soul Skills Cloud MD and then a bunch of folders.", "raw_text": "And he put in there like a Soul Skills Cloud MD and then a bunch of folders.", "start_time": 1119.3, "end_time": 1123.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 475, "text": "So he basically made a cloud file set up exactly like Open Claw and then he points cowork at it and it runs it pretty well.", "raw_text": "So he basically made a cloud file set up exactly like Open Claw and then he points cowork at it and it runs it pretty well.", "start_time": 1123.58, "end_time": 1130.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 476, "text": "And so he's got a sweet thing set up there with like templates and he's got like.", "raw_text": "And so he's got a sweet thing set up there with like templates and he's got like.", "start_time": 1131.39, "end_time": 1134.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 477, "text": "It's pretty good.", "raw_text": "It's pretty good.", "start_time": 1134.99, "end_time": 1135.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 478, "text": "Well, he, he went through like all of our clients and like I can show you based on the arrangement letters and all that stuff, we have like, like client summaries, project overviews, like nice.", "raw_text": "Well, he, he went through like all of our clients and like I can show you based on the arrangement letters and all that stuff, we have like, like client summaries, project overviews, like nice.", "start_time": 1135.75, "end_time": 1145.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 479, "text": "And generated a bunch of.", "raw_text": "And generated a bunch of.", "start_time": 1145.11, "end_time": 1146.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 480, "text": "So here's his.", "raw_text": "So here's his.", "start_time": 1146.51, "end_time": 1147.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 481, "text": "Yeah, here's his folder.", "raw_text": "Yeah, here's his folder.", "start_time": 1147.31, "end_time": 1148.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 482, "text": "So he's got, he's got like Skills Claude MD and at the top level, like he's got his Claude MD cowork onboarding and then he's got some like templates that he uses for arrangement letter.", "raw_text": "So he's got, he's got like Skills Claude MD and at the top level, like he's got his Claude MD cowork onboarding and then he's got some like templates that he uses for arrangement letter.", "start_time": 1148.51, "end_time": 1158.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 483, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1158.32, "end_time": 1158.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 484, "text": "But then like what he does in his morning is he has like Fireflies Sync and it pulls in and it like just.", "raw_text": "But then like what he does in his morning is he has like Fireflies Sync and it pulls in and it like just.", "start_time": 1158.64, "end_time": 1164.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 485, "text": "I don't know if I showed you that graph, but me and Paul and Sam and Justin and Murph sat down like a week or two ago and went through 21 use cases that we want to build out and okay, foundation or in general, they don't have to force it through foundation.", "raw_text": "I don't know if I showed you that graph, but me and Paul and Sam and Justin and Murph sat down like a week or two ago and went through 21 use cases that we want to build out and okay, foundation or in general, they don't have to force it through foundation.", "start_time": 1165, "end_time": 1177.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 486, "text": "At first I was like, I think we should not use foundation and just like ship them.", "raw_text": "At first I was like, I think we should not use foundation and just like ship them.", "start_time": 1177.32, "end_time": 1180.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 487, "text": "But like now I'm kind of like, well, we may as much build them in foundation because it's like I think I exist somewhere.", "raw_text": "But like now I'm kind of like, well, we may as much build them in foundation because it's like I think I exist somewhere.", "start_time": 1180.16, "end_time": 1184, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "Right.", "raw_text": "Right.", "start_time": 1184, "end_time": 1184.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 489, "text": "So that was like the spur of the app data thing.", "raw_text": "So that was like the spur of the app data thing.", "start_time": 1184.32, "end_time": 1186.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 490, "text": "I was like.", "raw_text": "I was like.", "start_time": 1186.52, "end_time": 1187.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 491, "text": "So I like the idea again of like within the MVP and then integrating.", "raw_text": "So I like the idea again of like within the MVP and then integrating.", "start_time": 1187.12, "end_time": 1190.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 492, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1191.68, "end_time": 1192.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 493, "text": "So I will.", "raw_text": "So I will.", "start_time": 1192.08, "end_time": 1192.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 494, "text": "I actually it's okay to ship scripts and exactly files.", "raw_text": "I actually it's okay to ship scripts and exactly files.", "start_time": 1192.64, "end_time": 1196.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 495, "text": "It's a start.", "raw_text": "It's a start.", "start_time": 1196.56, "end_time": 1197.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 496, "text": "And yeah, I'll get it.", "raw_text": "And yeah, I'll get it.", "start_time": 1197.44, "end_time": 1198.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 497, "text": "The app builder thing I think is the perfect place to have it live.", "raw_text": "The app builder thing I think is the perfect place to have it live.", "start_time": 1198.6, "end_time": 1200.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 498, "text": "And I'll get in that in a moment.", "raw_text": "And I'll get in that in a moment.", "start_time": 1200.88, "end_time": 1202.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 499, "text": "And then do you have hard cut off at 11:30?", "raw_text": "And then do you have hard cut off at 11:30?", "start_time": 1202.4, "end_time": 1204.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 500, "text": "I think I'm supposed to use ham at 11:30, but we're good.", "raw_text": "I think I'm supposed to use ham at 11:30, but we're good.", "start_time": 1204.96, "end_time": 1207.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 501, "text": "Yeah, I can go semi quick, but essentially I. I'm out next week, so what I'll do is I'll get the transcript from Christopher and the transcript from Sam and then any of that information and the activity output from our use cases and then like documentation on this branch and just like have that on Slack.", "raw_text": "Yeah, I can go semi quick, but essentially I. I'm out next week, so what I'll do is I'll get the transcript from Christopher and the transcript from Sam and then any of that information and the activity output from our use cases and then like documentation on this branch and just like have that on Slack.", "start_time": 1207.24, "end_time": 1225.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 502, "text": "I. I don't know my hour.", "raw_text": "I. I don't know my hour.", "start_time": 1225.85, "end_time": 1227.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 503, "text": "Like I'm not going to work next week but I'll be on Slack so you just like ping me if you need anything.", "raw_text": "Like I'm not going to work next week but I'll be on Slack so you just like ping me if you need anything.", "start_time": 1227.05, "end_time": 1230.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 504, "text": "And I also don't think any of this is like that pressing so it's like fine.", "raw_text": "And I also don't think any of this is like that pressing so it's like fine.", "start_time": 1230.85, "end_time": 1233.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 505, "text": "But the ad builder side of things, there's a lot in my branch because I took four of Justin's branches and like cherry pick from them and then added a bunch of stuff to it.", "raw_text": "But the ad builder side of things, there's a lot in my branch because I took four of Justin's branches and like cherry pick from them and then added a bunch of stuff to it.", "start_time": 1234.17, "end_time": 1243.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 506, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1243.97, "end_time": 1244.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 507, "text": "And so like right now this isn't something I would ship at the moment it's getting pretty close and there's actually a commit like four commits to go on my branch that if we wanted to ship we could because that was what I the short.", "raw_text": "And so like right now this isn't something I would ship at the moment it's getting pretty close and there's actually a commit like four commits to go on my branch that if we wanted to ship we could because that was what I the short.", "start_time": 1244.37, "end_time": 1256.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 508, "text": "I'll just demo it quick and we can talk more technical specs later.", "raw_text": "I'll just demo it quick and we can talk more technical specs later.", "start_time": 1256.55, "end_time": 1259.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 509, "text": "If you end up looking at my branch, it's pushed up.", "raw_text": "If you end up looking at my branch, it's pushed up.", "start_time": 1259.75, "end_time": 1262.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 510, "text": "It's called Feature App Build.", "raw_text": "It's called Feature App Build.", "start_time": 1262.39, "end_time": 1265.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 511, "text": "I think like that I'll post it.", "raw_text": "I think like that I'll post it.", "start_time": 1265.07, "end_time": 1266.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 512, "text": "It's called like Feature App Builder and I should change this file.", "raw_text": "It's called like Feature App Builder and I should change this file.", "start_time": 1266.51, "end_time": 1270.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 513, "text": "But here's all my working markdown files in this architecture document and I have a really detailed build reference.", "raw_text": "But here's all my working markdown files in this architecture document and I have a really detailed build reference.", "start_time": 1270.03, "end_time": 1276.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 514, "text": "So I pulled in from Justin's experimental data pipeline and the JSON renderer and his new scope creep workflow and essentially I scrapped the JSON renderer stuff.", "raw_text": "So I pulled in from Justin's experimental data pipeline and the JSON renderer and his new scope creep workflow and essentially I scrapped the JSON renderer stuff.", "start_time": 1276.86, "end_time": 1286.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 515, "text": "I went with the JSX sandbox and like battle approach and then I've added in some scaffolding and I actually I pulled in in's code base and you said you scrapped which approach?", "raw_text": "I went with the JSX sandbox and like battle approach and then I've added in some scaffolding and I actually I pulled in in's code base and you said you scrapped which approach?", "start_time": 1286.62, "end_time": 1296.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 516, "text": "The JSON render.", "raw_text": "The JSON render.", "start_time": 1296.98, "end_time": 1298.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 517, "text": "So we originally talked about two like the UI building and so I basically cut that but I, I pulled some things in and I pulled his event page in.", "raw_text": "So we originally talked about two like the UI building and so I basically cut that but I, I pulled some things in and I pulled his event page in.", "start_time": 1298.26, "end_time": 1306.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 518, "text": "So I merged Justin's Scope creep workflow branch in.", "raw_text": "So I merged Justin's Scope creep workflow branch in.", "start_time": 1306.57, "end_time": 1310.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 519, "text": "Then I can cherry pick from his old one.", "raw_text": "Then I can cherry pick from his old one.", "start_time": 1310.17, "end_time": 1311.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 520, "text": "Is that JSX sandbox?", "raw_text": "Is that JSX sandbox?", "start_time": 1311.85, "end_time": 1313.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 521, "text": "Using the virtual sandbox?", "raw_text": "Using the virtual sandbox?", "start_time": 1313.41, "end_time": 1314.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 522, "text": "Yes.", "raw_text": "Yes.", "start_time": 1314.69, "end_time": 1315.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 523, "text": "Yes.", "raw_text": "Yes.", "start_time": 1315.29, "end_time": 1315.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 524, "text": "And I have, I. I have like a deeper integration or like we could talk through all that.", "raw_text": "And I have, I. I have like a deeper integration or like we could talk through all that.", "start_time": 1315.77, "end_time": 1320.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 525, "text": "I guess we can like right now in a moment but I'll demo it.", "raw_text": "I guess we can like right now in a moment but I'll demo it.", "start_time": 1320.77, "end_time": 1323.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 526, "text": "But yeah, right now it's using the Vercel sandbox I also built out if you ever need it.", "raw_text": "But yeah, right now it's using the Vercel sandbox I also built out if you ever need it.", "start_time": 1323.69, "end_time": 1328.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 527, "text": "It's so cool.", "raw_text": "It's so cool.", "start_time": 1329.2, "end_time": 1329.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 528, "text": "I haven't used it but I personally.", "raw_text": "I haven't used it but I personally.", "start_time": 1329.84, "end_time": 1331.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 529, "text": "So I wrote out an entire deep document on like because I didn't know what the sandbox stuff was.", "raw_text": "So I wrote out an entire deep document on like because I didn't know what the sandbox stuff was.", "start_time": 1331.84, "end_time": 1336.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 530, "text": "So if you want to Read, read it.", "raw_text": "So if you want to Read, read it.", "start_time": 1336.52, "end_time": 1337.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 531, "text": "I wrote a really detailed markdown for my own use on like actually how to use it, what it is, best practices and then exactly how we use it in our tool sandbox and our longer instances sandbox so that like I'll put this in documentation because this I read this, it really helped me like figure out what we're doing.", "raw_text": "I wrote a really detailed markdown for my own use on like actually how to use it, what it is, best practices and then exactly how we use it in our tool sandbox and our longer instances sandbox so that like I'll put this in documentation because this I read this, it really helped me like figure out what we're doing.", "start_time": 1337.84, "end_time": 1352, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 532, "text": "So I like reference that a lot of.", "raw_text": "So I like reference that a lot of.", "start_time": 1352.8, "end_time": 1354.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 533, "text": "But the key thing that I did was I'll just show you assuming this works.", "raw_text": "But the key thing that I did was I'll just show you assuming this works.", "start_time": 1354.92, "end_time": 1360.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 534, "text": "So Justin had added in this Events page and I wasn't messing with it much.", "raw_text": "So Justin had added in this Events page and I wasn't messing with it much.", "start_time": 1360.44, "end_time": 1364.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 535, "text": "I just left it as he did.", "raw_text": "I just left it as he did.", "start_time": 1364.08, "end_time": 1365.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 536, "text": "And Events is basically supposed to be like a log of like our APIs or Catalyst.", "raw_text": "And Events is basically supposed to be like a log of like our APIs or Catalyst.", "start_time": 1365.48, "end_time": 1369.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 537, "text": "Yeah, I what I would like to add to this page which that's why I want to talk to you about workflows later on ship right away I would like to do something like Heartbeat for like Open Call or like your crons or just a way.", "raw_text": "Yeah, I what I would like to add to this page which that's why I want to talk to you about workflows later on ship right away I would like to do something like Heartbeat for like Open Call or like your crons or just a way.", "start_time": 1369.56, "end_time": 1381.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 538, "text": "But that could also live on the workflows page.", "raw_text": "But that could also live on the workflows page.", "start_time": 1381.4, "end_time": 1383.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 539, "text": "But like I'd like a dashboard to see like what are all your workflows that are running?", "raw_text": "But like I'd like a dashboard to see like what are all your workflows that are running?", "start_time": 1383.48, "end_time": 1386.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 540, "text": "When are they planning to run?", "raw_text": "When are they planning to run?", "start_time": 1386.9, "end_time": 1387.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 541, "text": "How can you edit it?", "raw_text": "How can you edit it?", "start_time": 1387.9, "end_time": 1388.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 542, "text": "Like that type of screen?", "raw_text": "Like that type of screen?", "start_time": 1388.78, "end_time": 1390.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 543, "text": "Yeah, that could live here.", "raw_text": "Yeah, that could live here.", "start_time": 1390.3, "end_time": 1391.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 544, "text": "That could live on workflows.", "raw_text": "That could live on workflows.", "start_time": 1391.46, "end_time": 1392.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 545, "text": "It's just like you know like the coworker scheduled tab.", "raw_text": "It's just like you know like the coworker scheduled tab.", "start_time": 1392.58, "end_time": 1395.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 546, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 1395.66, "end_time": 1396.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 547, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1396.22, "end_time": 1396.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 548, "text": "Like it's, it's pretty well done.", "raw_text": "Like it's, it's pretty well done.", "start_time": 1396.54, "end_time": 1397.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 549, "text": "Like we could just pull in the open claw one but like that's, we can ship that later.", "raw_text": "Like we could just pull in the open claw one but like that's, we can ship that later.", "start_time": 1397.66, "end_time": 1401.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 550, "text": "And then for apps.", "raw_text": "And then for apps.", "start_time": 1402.14, "end_time": 1403.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 551, "text": "So this is what I have.", "raw_text": "So this is what I have.", "start_time": 1403.38, "end_time": 1404.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 552, "text": "You can come in here for apps and you can create a new one.", "raw_text": "You can come in here for apps and you can create a new one.", "start_time": 1404.34, "end_time": 1407.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 553, "text": "And so this is where this dashboard version a couple commits ago I didn't have the custom app in.", "raw_text": "And so this is where this dashboard version a couple commits ago I didn't have the custom app in.", "start_time": 1408.38, "end_time": 1413.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 554, "text": "The custom app part is with the JSX sandbox that just iframes and like a custom app.", "raw_text": "The custom app part is with the JSX sandbox that just iframes and like a custom app.", "start_time": 1413.64, "end_time": 1418.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 555, "text": "The dashboard one I have six preconfigured widgets and you just choose from those.", "raw_text": "The dashboard one I have six preconfigured widgets and you just choose from those.", "start_time": 1419.16, "end_time": 1423.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 556, "text": "So like if I choose this Pre Configured Widget 1 Test 2 I create my app and so it has these pre configured widgets which like right now they have mock data but I go to edit them and it's, it's drag and drop.", "raw_text": "So like if I choose this Pre Configured Widget 1 Test 2 I create my app and so it has these pre configured widgets which like right now they have mock data but I go to edit them and it's, it's drag and drop.", "start_time": 1424.28, "end_time": 1437.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 557, "text": "You can have like, like if I kind of mess it up, I have like an auto layout that'll like snap it to the grid and you can manually change all the sides sizes or you can drag and drop it.", "raw_text": "You can have like, like if I kind of mess it up, I have like an auto layout that'll like snap it to the grid and you can manually change all the sides sizes or you can drag and drop it.", "start_time": 1438.2, "end_time": 1447.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 558, "text": "And then for instance this is a data one so I can select it to a workflow and then now it'll pull in data from this workflow.", "raw_text": "And then for instance this is a data one so I can select it to a workflow and then now it'll pull in data from this workflow.", "start_time": 1447.61, "end_time": 1456.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 559, "text": "So like here is data from that workflow.", "raw_text": "So like here is data from that workflow.", "start_time": 1456.97, "end_time": 1459.289, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 560, "text": "Or I'm trying to get one.", "raw_text": "Or I'm trying to get one.", "start_time": 1459.93, "end_time": 1461.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 561, "text": "This isn't a data node, but like there's a cube.", "raw_text": "This isn't a data node, but like there's a cube.", "start_time": 1461.77, "end_time": 1464.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 562, "text": "Like this data display1 is linked to cube.", "raw_text": "Like this data display1 is linked to cube.", "start_time": 1464.09, "end_time": 1468.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 563, "text": "So I can go in here, select a cube and select like what I want.", "raw_text": "So I can go in here, select a cube and select like what I want.", "start_time": 1468.37, "end_time": 1472.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 564, "text": "And this.", "raw_text": "And this.", "start_time": 1472.45, "end_time": 1472.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 565, "text": "I'm working on getting this API to work, but my thoughts were like, if I can get this widget to work with cube and I could get this widget to work with workflows, essentially you have an API for whatever you want with all our connections and you can pull in data.", "raw_text": "I'm working on getting this API to work, but my thoughts were like, if I can get this widget to work with cube and I could get this widget to work with workflows, essentially you have an API for whatever you want with all our connections and you can pull in data.", "start_time": 1472.89, "end_time": 1484.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 566, "text": "And then the other thing that I did was you can pretty easily edit it.", "raw_text": "And then the other thing that I did was you can pretty easily edit it.", "start_time": 1485.29, "end_time": 1490.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 567, "text": "If you go into one of these and you see like the output input from any workflow, I added buttons basically everywhere that's open in chat and it will instantly bring you to a new chat conversation with any context relevant to what you clicked on.", "raw_text": "If you go into one of these and you see like the output input from any workflow, I added buttons basically everywhere that's open in chat and it will instantly bring you to a new chat conversation with any context relevant to what you clicked on.", "start_time": 1490.65, "end_time": 1504.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 568, "text": "And so it's kind of like right here is the whole workflow.", "raw_text": "And so it's kind of like right here is the whole workflow.", "start_time": 1505.84, "end_time": 1509.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 569, "text": "Can you summarize questions?", "raw_text": "Can you summarize questions?", "start_time": 1509.08, "end_time": 1510.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 570, "text": "So it's like, bam.", "raw_text": "So it's like, bam.", "start_time": 1510.4, "end_time": 1511.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 571, "text": "Like if you have like a range letter output, it just instantly brings you into a conversation and something to pin for later.", "raw_text": "Like if you have like a range letter output, it just instantly brings you into a conversation and something to pin for later.", "start_time": 1511.08, "end_time": 1517.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 572, "text": "I'd like to talk through, like, because we have a lot of different versions you can talk to AI.", "raw_text": "I'd like to talk through, like, because we have a lot of different versions you can talk to AI.", "start_time": 1517.52, "end_time": 1521.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 573, "text": "So I'll show you my sandbox one.", "raw_text": "So I'll show you my sandbox one.", "start_time": 1521.44, "end_time": 1522.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 574, "text": "I have a little AI chat in there and I know you.", "raw_text": "I have a little AI chat in there and I know you.", "start_time": 1522.68, "end_time": 1524.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 575, "text": "I copied off of what you did with Transform into Agent Builder editing and then Justin has that in like workflow eventually.", "raw_text": "I copied off of what you did with Transform into Agent Builder editing and then Justin has that in like workflow eventually.", "start_time": 1524.72, "end_time": 1530.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 576, "text": "It'd be cool if we can find a good way to figure out how we want to associate that data, whether it's with the user or like with that app or like with the workflow.", "raw_text": "It'd be cool if we can find a good way to figure out how we want to associate that data, whether it's with the user or like with that app or like with the workflow.", "start_time": 1530.23, "end_time": 1536.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 577, "text": "Like if we want a log of those charts or do we want to run everything through the same chat API or like the user history, like there.", "raw_text": "Like if we want a log of those charts or do we want to run everything through the same chat API or like the user history, like there.", "start_time": 1536.75, "end_time": 1544.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 578, "text": "I thought there were a few.", "raw_text": "I thought there were a few.", "start_time": 1544.15, "end_time": 1545.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 579, "text": "Like, we want to unpack that now.", "raw_text": "Like, we want to unpack that now.", "start_time": 1545.03, "end_time": 1546.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 580, "text": "Like, I'll just kind of.", "raw_text": "Like, I'll just kind of.", "start_time": 1546.63, "end_time": 1547.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 581, "text": "We'll ship this.", "raw_text": "We'll ship this.", "start_time": 1547.27, "end_time": 1547.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 582, "text": "But that's something I want to talk about in the future.", "raw_text": "But that's something I want to talk about in the future.", "start_time": 1547.91, "end_time": 1550.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 583, "text": "And then so for instance, if I want to go do my custom app demo, this one, we'll see if this works.", "raw_text": "And then so for instance, if I want to go do my custom app demo, this one, we'll see if this works.", "start_time": 1551.19, "end_time": 1558.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 584, "text": "So it's.", "raw_text": "So it's.", "start_time": 1558.19, "end_time": 1558.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 585, "text": "It's just an iframe.", "raw_text": "It's just an iframe.", "start_time": 1558.55, "end_time": 1559.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 586, "text": "So this was a dashboard I vibe coded.", "raw_text": "So this was a dashboard I vibe coded.", "start_time": 1559.59, "end_time": 1561.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 587, "text": "And so to edit this one, I have a little editor here and you get, you get like Claude built in right here and you can see your code, maybe like ux.", "raw_text": "And so to edit this one, I have a little editor here and you get, you get like Claude built in right here and you can see your code, maybe like ux.", "start_time": 1561.51, "end_time": 1571.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 588, "text": "Okay.", "raw_text": "Okay.", "start_time": 1571.27, "end_time": 1571.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 589, "text": "And then let me see.", "raw_text": "And then let me see.", "start_time": 1571.75, "end_time": 1572.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 590, "text": "So this one, I have a better one over here.", "raw_text": "So this one, I have a better one over here.", "start_time": 1572.55, "end_time": 1574.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 591, "text": "So right now I have this.", "raw_text": "So right now I have this.", "start_time": 1576.95, "end_time": 1578.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 592, "text": "This one's a good one.", "raw_text": "This one's a good one.", "start_time": 1580.23, "end_time": 1581.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 593, "text": "So this was a pretty cool one.", "raw_text": "So this was a pretty cool one.", "start_time": 1581.97, "end_time": 1582.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 594, "text": "That I had put together for like arrangement letters and like linear.", "raw_text": "That I had put together for like arrangement letters and like linear.", "start_time": 1582.89, "end_time": 1586.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 595, "text": "And these are not real connections at the moment.", "raw_text": "And these are not real connections at the moment.", "start_time": 1586.85, "end_time": 1589.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 596, "text": "Just because I was trying to get the code to work and compile.", "raw_text": "Just because I was trying to get the code to work and compile.", "start_time": 1589.49, "end_time": 1591.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 597, "text": "It was working pretty good.", "raw_text": "It was working pretty good.", "start_time": 1591.97, "end_time": 1593.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 598, "text": "But you can go in here to edit and then I can ask like put an overall project tracker widget at the very top with linear milestones.", "raw_text": "But you can go in here to edit and then I can ask like put an overall project tracker widget at the very top with linear milestones.", "start_time": 1593.33, "end_time": 1601.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 599, "text": "So let that kind of work.", "raw_text": "So let that kind of work.", "start_time": 1602.85, "end_time": 1603.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 600, "text": "But what I did right now is so I have version control in here and this is all so like these apps are data driven.", "raw_text": "But what I did right now is so I have version control in here and this is all so like these apps are data driven.", "start_time": 1603.97, "end_time": 1610.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 601, "text": "I can see them in the database and like the code's just like saved in there.", "raw_text": "I can see them in the database and like the code's just like saved in there.", "start_time": 1610.92, "end_time": 1614.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 602, "text": "And the simplest version control that I did was you can just choose to save these snapshots and it'll just pull the code back in.", "raw_text": "And the simplest version control that I did was you can just choose to save these snapshots and it'll just pull the code back in.", "start_time": 1614.8, "end_time": 1621.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 603, "text": "I actually this is what FATI used to do with their agents.", "raw_text": "I actually this is what FATI used to do with their agents.", "start_time": 1621.76, "end_time": 1623.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 604, "text": "It would just have like cache jsons that you can pull in.", "raw_text": "It would just have like cache jsons that you can pull in.", "start_time": 1623.96, "end_time": 1626.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 605, "text": "I think in the future it'd be cool.", "raw_text": "I think in the future it'd be cool.", "start_time": 1627.12, "end_time": 1628.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 606, "text": "Like so this, this whole conversation only happens in memory and I have it saved to this state so that like I can toggle this tab on and off and the conversation will be there.", "raw_text": "Like so this, this whole conversation only happens in memory and I have it saved to this state so that like I can toggle this tab on and off and the conversation will be there.", "start_time": 1628.52, "end_time": 1637.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 607, "text": "But if you refresh the page or leave, the session's done.", "raw_text": "But if you refresh the page or leave, the session's done.", "start_time": 1637.39, "end_time": 1639.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 608, "text": "And that's how like Justin's like pipeline is.", "raw_text": "And that's how like Justin's like pipeline is.", "start_time": 1639.75, "end_time": 1642.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 609, "text": "I think that's how the transform node is.", "raw_text": "I think that's how the transform node is.", "start_time": 1642.79, "end_time": 1644.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 610, "text": "I don't know, you might save conversation.", "raw_text": "I don't know, you might save conversation.", "start_time": 1644.27, "end_time": 1645.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 611, "text": "I look into it.", "raw_text": "I look into it.", "start_time": 1645.67, "end_time": 1646.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 612, "text": "But that's where it's like, well what I want to save these conversations.", "raw_text": "But that's where it's like, well what I want to save these conversations.", "start_time": 1646.95, "end_time": 1650.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 613, "text": "Our transform node is like now you can like chat with it to make a change.", "raw_text": "Our transform node is like now you can like chat with it to make a change.", "start_time": 1650.87, "end_time": 1655.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 614, "text": "It'll show you the diff you can accept or reject and then it'll just save that and then it's just gone.", "raw_text": "It'll show you the diff you can accept or reject and then it'll just save that and then it's just gone.", "start_time": 1655.19, "end_time": 1661.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 615, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 1661.55, "end_time": 1662.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 616, "text": "So that it's like a really simple bare bones.", "raw_text": "So that it's like a really simple bare bones.", "start_time": 1662.07, "end_time": 1664.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 617, "text": "And, and for some, like, for some reason those models like making code editing changes on anything like substantial is.", "raw_text": "And, and for some, like, for some reason those models like making code editing changes on anything like substantial is.", "start_time": 1665.13, "end_time": 1672.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 618, "text": "They're slow as heck.", "raw_text": "They're slow as heck.", "start_time": 1672.05, "end_time": 1673.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 619, "text": "I mean we're probably doing it in a very naive way.", "raw_text": "I mean we're probably doing it in a very naive way.", "start_time": 1673.69, "end_time": 1676.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 620, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1676.17, "end_time": 1676.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 621, "text": "Listings really.", "raw_text": "Listings really.", "start_time": 1676.97, "end_time": 1677.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 622, "text": "I don't even know how much that's gonna.", "raw_text": "I don't even know how much that's gonna.", "start_time": 1677.85, "end_time": 1679.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 623, "text": "That will get used in transform node.", "raw_text": "That will get used in transform node.", "start_time": 1679.93, "end_time": 1682.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 624, "text": "When I use it, I just code my own on the outside of it.", "raw_text": "When I use it, I just code my own on the outside of it.", "start_time": 1683.69, "end_time": 1685.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 625, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 1685.89, "end_time": 1686.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 626, "text": "Something.", "raw_text": "Something.", "start_time": 1689.53, "end_time": 1689.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 627, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1690.98, "end_time": 1691.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 628, "text": "As you can see, like this is taking a minute.", "raw_text": "As you can see, like this is taking a minute.", "start_time": 1691.46, "end_time": 1693.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 629, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1694.9, "end_time": 1695.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 630, "text": "We probably would need to do some figuring out how to make those things faster.", "raw_text": "We probably would need to do some figuring out how to make those things faster.", "start_time": 1695.3, "end_time": 1700.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 631, "text": "Actually, like in general I'm trying to figure out how to like make big tasks with LLM faster because I'm like, how does cursor do this?", "raw_text": "Actually, like in general I'm trying to figure out how to like make big tasks with LLM faster because I'm like, how does cursor do this?", "start_time": 1700.42, "end_time": 1708.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 632, "text": "Well, so the difference here for like these code changes is I think you gotta, you need to stand them up in a sandbox or their actual files and it's gotta be able to index them too.", "raw_text": "Well, so the difference here for like these code changes is I think you gotta, you need to stand them up in a sandbox or their actual files and it's gotta be able to index them too.", "start_time": 1709.14, "end_time": 1721.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 633, "text": "Because that, that's, that's the problem.", "raw_text": "Because that, that's, that's the problem.", "start_time": 1721.22, "end_time": 1724.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 634, "text": "Right?", "raw_text": "Right?", "start_time": 1724.04, "end_time": 1724.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 635, "text": "Like we're trying to throw it around in context.", "raw_text": "Like we're trying to throw it around in context.", "start_time": 1724.32, "end_time": 1726.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 636, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1727.92, "end_time": 1728.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 637, "text": "Versus letting like spin up a sandbox and just like clog code like right through it some way.", "raw_text": "Versus letting like spin up a sandbox and just like clog code like right through it some way.", "start_time": 1729.12, "end_time": 1733.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 638, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1733.44, "end_time": 1734.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 639, "text": "Because this, this isn't like a harness at all.", "raw_text": "Because this, this isn't like a harness at all.", "start_time": 1734.04, "end_time": 1735.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 640, "text": "This thing just rewrote the whole thing.", "raw_text": "This thing just rewrote the whole thing.", "start_time": 1735.8, "end_time": 1737.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 641, "text": "So then you apply it to editor and either it compiles or it doesn't.", "raw_text": "So then you apply it to editor and either it compiles or it doesn't.", "start_time": 1737.28, "end_time": 1739.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 642, "text": "But so this is kind of cool.", "raw_text": "But so this is kind of cool.", "start_time": 1739.88, "end_time": 1741.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 643, "text": "So I can go here, save snapshot.", "raw_text": "So I can go here, save snapshot.", "start_time": 1741.44, "end_time": 1743.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 644, "text": "So now I got the version.", "raw_text": "So now I got the version.", "start_time": 1743.12, "end_time": 1744.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 645, "text": "Here's my two versions, here's the old one, here's the new one, save it and then I can go right back here and bam, here's this sweet dashboard that eventually will be hooked into data.", "raw_text": "Here's my two versions, here's the old one, here's the new one, save it and then I can go right back here and bam, here's this sweet dashboard that eventually will be hooked into data.", "start_time": 1745.44, "end_time": 1756.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 646, "text": "Right now it's not, but this is pretty cool.", "raw_text": "Right now it's not, but this is pretty cool.", "start_time": 1756.05, "end_time": 1758.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 647, "text": "And it like it compiles pretty well.", "raw_text": "And it like it compiles pretty well.", "start_time": 1758.85, "end_time": 1760.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 648, "text": "And then like this was the one thing that I like.", "raw_text": "And then like this was the one thing that I like.", "start_time": 1760.89, "end_time": 1763.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 649, "text": "Well, maybe this could be useful for like safeguard if like you wanted, like you could just tag your UI component with this widgets one.", "raw_text": "Well, maybe this could be useful for like safeguard if like you wanted, like you could just tag your UI component with this widgets one.", "start_time": 1763.09, "end_time": 1769.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 650, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1769.21, "end_time": 1769.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 651, "text": "If you have it on a separate page, it's like I can run the workflow, I can look at the workflow.", "raw_text": "If you have it on a separate page, it's like I can run the workflow, I can look at the workflow.", "start_time": 1769.77, "end_time": 1774.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 652, "text": "These were just like random things I just made up.", "raw_text": "These were just like random things I just made up.", "start_time": 1775.17, "end_time": 1776.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 653, "text": "Obviously.", "raw_text": "Obviously.", "start_time": 1776.93, "end_time": 1777.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 654, "text": "Like we could put in like the better widgets in here, but maybe it's just adding in a page of like apps and then it's like the display of like all their workflow outputs and they can click on that for like UIs and you could just steal from that.", "raw_text": "Like we could put in like the better widgets in here, but maybe it's just adding in a page of like apps and then it's like the display of like all their workflow outputs and they can click on that for like UIs and you could just steal from that.", "start_time": 1777.29, "end_time": 1789.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 655, "text": "Like you could just point like I wouldn't merge the branch in, but you could point out for like lessons learned.", "raw_text": "Like you could just point like I wouldn't merge the branch in, but you could point out for like lessons learned.", "start_time": 1789.25, "end_time": 1792.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 656, "text": "It would probably just like.", "raw_text": "It would probably just like.", "start_time": 1792.85, "end_time": 1793.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 657, "text": "Yeah, yeah, yeah, yeah.", "raw_text": "Yeah, yeah, yeah, yeah.", "start_time": 1794.29, "end_time": 1796.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 658, "text": "You know, this is super interesting.", "raw_text": "You know, this is super interesting.", "start_time": 1796.13, "end_time": 1798.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 659, "text": "So I think this is cool and I think, I think, well if you go like, go to where you were doing the like pre configured widgets.", "raw_text": "So I think this is cool and I think, I think, well if you go like, go to where you were doing the like pre configured widgets.", "start_time": 1798.41, "end_time": 1804.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 660, "text": "Oh yeah, I can do that here, but not here.", "raw_text": "Oh yeah, I can do that here, but not here.", "start_time": 1804.98, "end_time": 1808.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 661, "text": "So like what I think is interesting here with some of these like daily display and like stat cards is really, it's like, like the data shown for this cube one is really the cube thing of the.", "raw_text": "So like what I think is interesting here with some of these like daily display and like stat cards is really, it's like, like the data shown for this cube one is really the cube thing of the.", "start_time": 1810.9, "end_time": 1827.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 662, "text": "Think of the workflow builder.", "raw_text": "Think of the workflow builder.", "start_time": 1827.78, "end_time": 1829.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 663, "text": "You have the cube action which is just like a node and this is like an instance of that action.", "raw_text": "You have the cube action which is just like a node and this is like an instance of that action.", "start_time": 1829.22, "end_time": 1837.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 664, "text": "Like you coded it to do this query and ran it.", "raw_text": "Like you coded it to do this query and ran it.", "start_time": 1837.86, "end_time": 1841.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 665, "text": "That's what this is capturing.", "raw_text": "That's what this is capturing.", "start_time": 1841.94, "end_time": 1843.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 666, "text": "Right.", "raw_text": "Right.", "start_time": 1843.22, "end_time": 1843.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 667, "text": "So there may be able to be a lot of reuse between workflow builder, chat and like this.", "raw_text": "So there may be able to be a lot of reuse between workflow builder, chat and like this.", "start_time": 1843.7, "end_time": 1852.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 668, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 1853.06, "end_time": 1853.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 669, "text": "I think it tells more cohesive story.", "raw_text": "I think it tells more cohesive story.", "start_time": 1853.66, "end_time": 1855.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 670, "text": "I think it should be.", "raw_text": "I think it should be.", "start_time": 1855.62, "end_time": 1856.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 671, "text": "It's.", "raw_text": "It's.", "start_time": 1856.58, "end_time": 1856.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 672, "text": "I mean to Say, that's a bunch of rework.", "raw_text": "I mean to Say, that's a bunch of rework.", "start_time": 1858.52, "end_time": 1860.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 673, "text": "And one thing we, we.", "raw_text": "And one thing we, we.", "start_time": 1863.56, "end_time": 1864.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 674, "text": "I think we got to figure out too, is like, our level of MCP support on the app side for this external stuff.", "raw_text": "I think we got to figure out too, is like, our level of MCP support on the app side for this external stuff.", "start_time": 1864.88, "end_time": 1871.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 675, "text": "I just don't think we should be.", "raw_text": "I just don't think we should be.", "start_time": 1871.64, "end_time": 1873, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 676, "text": "Yeah, I don't like how we're doing.", "raw_text": "Yeah, I don't like how we're doing.", "start_time": 1873.32, "end_time": 1875.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 677, "text": "Yeah, I agree.", "raw_text": "Yeah, I agree.", "start_time": 1875.56, "end_time": 1877.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 678, "text": "But yeah, I think we've been just.", "raw_text": "But yeah, I think we've been just.", "start_time": 1877.4, "end_time": 1879.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 679, "text": "We can.", "raw_text": "We can.", "start_time": 1881.64, "end_time": 1882.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 680, "text": "We can make a lot of stuff.", "raw_text": "We can make a lot of stuff.", "start_time": 1882.12, "end_time": 1883.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 681, "text": "Well, yeah, yeah, I don't want to get too much into that.", "raw_text": "Well, yeah, yeah, I don't want to get too much into that.", "start_time": 1886.91, "end_time": 1889.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 682, "text": "That was just something I noticed.", "raw_text": "That was just something I noticed.", "start_time": 1889.07, "end_time": 1890.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 683, "text": "I was like, man, that's really like, there's a lot of overlap with those three from.", "raw_text": "I was like, man, that's really like, there's a lot of overlap with those three from.", "start_time": 1890.03, "end_time": 1893.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 684, "text": "From the jump.", "raw_text": "From the jump.", "start_time": 1893.79, "end_time": 1894.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 685, "text": "Like, that was the one thing that we didn't never really got to like, mock up and talk through.", "raw_text": "Like, that was the one thing that we didn't never really got to like, mock up and talk through.", "start_time": 1894.75, "end_time": 1898.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 686, "text": "But like this vision of like the apps thing, this is what I felt like it'd be like a big differentiator for us.", "raw_text": "But like this vision of like the apps thing, this is what I felt like it'd be like a big differentiator for us.", "start_time": 1898.19, "end_time": 1902.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 687, "text": "Not really, because it does anything super sweet technically.", "raw_text": "Not really, because it does anything super sweet technically.", "start_time": 1902.91, "end_time": 1905.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 688, "text": "I mean, the.", "raw_text": "I mean, the.", "start_time": 1905.11, "end_time": 1905.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 689, "text": "The sandbox is cool, but it's more so this is like Power Bi on steroids that business users know how to understand.", "raw_text": "The sandbox is cool, but it's more so this is like Power Bi on steroids that business users know how to understand.", "start_time": 1905.67, "end_time": 1913.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 690, "text": "And so it's like all the other stuff that we did and like the data layer stuff, like, here's all your dashboards.", "raw_text": "And so it's like all the other stuff that we did and like the data layer stuff, like, here's all your dashboards.", "start_time": 1913.76, "end_time": 1918.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 691, "text": "People love dashboards, even if you don't want to use them.", "raw_text": "People love dashboards, even if you don't want to use them.", "start_time": 1918.72, "end_time": 1920.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 692, "text": "And then it's like, okay, you have your own personal one, then you can like, post it for your teams.", "raw_text": "And then it's like, okay, you have your own personal one, then you can like, post it for your teams.", "start_time": 1920.48, "end_time": 1924.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 693, "text": "And if we do it with Cube, it's RBAC and like, you can roll in and see your data the right way.", "raw_text": "And if we do it with Cube, it's RBAC and like, you can roll in and see your data the right way.", "start_time": 1924.96, "end_time": 1929.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 694, "text": "And I think now that MCP has like the UI and app support, I think that's super compelling to say you can build an app and it would be available in the foundation mcp in your Claude.", "raw_text": "And I think now that MCP has like the UI and app support, I think that's super compelling to say you can build an app and it would be available in the foundation mcp in your Claude.", "start_time": 1929.92, "end_time": 1945.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 695, "text": "Right.", "raw_text": "Right.", "start_time": 1945.43, "end_time": 1945.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 696, "text": "Like wherever you want to take that thing.", "raw_text": "Like wherever you want to take that thing.", "start_time": 1946.19, "end_time": 1948.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 697, "text": "So that, like, it's still the portable promise.", "raw_text": "So that, like, it's still the portable promise.", "start_time": 1949.47, "end_time": 1952.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 698, "text": "Yeah, that we have.", "raw_text": "Yeah, that we have.", "start_time": 1952.83, "end_time": 1954.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 699, "text": "Yeah, that's super interesting.", "raw_text": "Yeah, that's super interesting.", "start_time": 1956.43, "end_time": 1957.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 700, "text": "Like, like, to me, for foundation as a full product, like looking at this dashboard or this side panel that we have now, I mean, we probably want to.", "raw_text": "Like, like, to me, for foundation as a full product, like looking at this dashboard or this side panel that we have now, I mean, we probably want to.", "start_time": 1957.87, "end_time": 1966.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 701, "text": "We could admin has all that data connector stuff, but like, this is just missing like a connectors or like, like integrations or whatever we want to call it.", "raw_text": "We could admin has all that data connector stuff, but like, this is just missing like a connectors or like, like integrations or whatever we want to call it.", "start_time": 1966.34, "end_time": 1974.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 702, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1974.34, "end_time": 1974.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 703, "text": "And then outside of that, with apps, Apps and events, I think were needed.", "raw_text": "And then outside of that, with apps, Apps and events, I think were needed.", "start_time": 1974.78, "end_time": 1978.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 704, "text": "And then really it's like, how do we make these all flow together?", "raw_text": "And then really it's like, how do we make these all flow together?", "start_time": 1978.98, "end_time": 1981.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 705, "text": "Like, we have all the pieces.", "raw_text": "Like, we have all the pieces.", "start_time": 1981.94, "end_time": 1983.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 706, "text": "It's like, okay, does knowledge base and spaces both need to be a thing?", "raw_text": "It's like, okay, does knowledge base and spaces both need to be a thing?", "start_time": 1983.06, "end_time": 1985.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 707, "text": "Like, how does that make sense?", "raw_text": "Like, how does that make sense?", "start_time": 1985.9, "end_time": 1987.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 708, "text": "Because it's like, well, let's like think about what makes sense.", "raw_text": "Because it's like, well, let's like think about what makes sense.", "start_time": 1987.06, "end_time": 1990.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 709, "text": "This is not like to solve now, but it's like, okay, let's say that Sam is on seven projects and he wants to PM all of them.", "raw_text": "This is not like to solve now, but it's like, okay, let's say that Sam is on seven projects and he wants to PM all of them.", "start_time": 1990.1, "end_time": 1996.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 710, "text": "Should he have 1pm dashboard app that he can then click into and then he changes the space and it goes per project and then the stuff is linked in spaces.", "raw_text": "Should he have 1pm dashboard app that he can then click into and then he changes the space and it goes per project and then the stuff is linked in spaces.", "start_time": 1996.47, "end_time": 2005.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 711, "text": "Or he doesn't want.", "raw_text": "Or he doesn't want.", "start_time": 2005.43, "end_time": 2006.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 712, "text": "He just wants to ignore spaces and it's all short in cube.", "raw_text": "He just wants to ignore spaces and it's all short in cube.", "start_time": 2006.75, "end_time": 2009.109, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 713, "text": "Or like, where's those associations?", "raw_text": "Or like, where's those associations?", "start_time": 2009.43, "end_time": 2011.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 714, "text": "Or is it like, okay, I want seven apps and every time I click the app, it's for that, like a drop down.", "raw_text": "Or is it like, okay, I want seven apps and every time I click the app, it's for that, like a drop down.", "start_time": 2011.67, "end_time": 2016.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 715, "text": "Like, here's what it's like, how do we should have a stance on, like, the best way for our stuff to flow together?", "raw_text": "Like, here's what it's like, how do we should have a stance on, like, the best way for our stuff to flow together?", "start_time": 2016.07, "end_time": 2022.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 716, "text": "So it's like, okay, you want to do something custom, Here's a simple way to put a workflow in, and then you can easily hook this workflow up to any UI element you want.", "raw_text": "So it's like, okay, you want to do something custom, Here's a simple way to put a workflow in, and then you can easily hook this workflow up to any UI element you want.", "start_time": 2022.92, "end_time": 2030.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 717, "text": "And then I think once we figure out how to connect all those together, we got to figure out how can we make them all run through the least amount of chat routes.", "raw_text": "And then I think once we figure out how to connect all those together, we got to figure out how can we make them all run through the least amount of chat routes.", "start_time": 2031, "end_time": 2037.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 718, "text": "Like, instead of having like multiple different ways to spin up a conversation, like, standardize that.", "raw_text": "Like, instead of having like multiple different ways to spin up a conversation, like, standardize that.", "start_time": 2037.96, "end_time": 2042.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 719, "text": "Standardize the way that we're indexing the data across that for like stored conversations.", "raw_text": "Standardize the way that we're indexing the data across that for like stored conversations.", "start_time": 2042.92, "end_time": 2046.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 720, "text": "And then the final thing would be like, now how can I just open up chat and then interact with all the things?", "raw_text": "And then the final thing would be like, now how can I just open up chat and then interact with all the things?", "start_time": 2047.37, "end_time": 2053.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 721, "text": "Can I actually just open up Workflow builder?", "raw_text": "Can I actually just open up Workflow builder?", "start_time": 2053.89, "end_time": 2056.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 722, "text": "Can I open up the spaces and do all that from chat, like out of the box?", "raw_text": "Can I open up the spaces and do all that from chat, like out of the box?", "start_time": 2056.01, "end_time": 2060.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 723, "text": "Yeah, yeah, that's.", "raw_text": "Yeah, yeah, that's.", "start_time": 2060.57, "end_time": 2063.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 724, "text": "That's distant future.", "raw_text": "That's distant future.", "start_time": 2063.65, "end_time": 2064.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 725, "text": "But that's what I see us going.", "raw_text": "But that's what I see us going.", "start_time": 2064.73, "end_time": 2066.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 726, "text": "See you.", "raw_text": "See you.", "start_time": 2067.37, "end_time": 2067.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 727, "text": "That's where I feel like, you know, we do that by the end of summer.", "raw_text": "That's where I feel like, you know, we do that by the end of summer.", "start_time": 2069.29, "end_time": 2071.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 728, "text": "It's like this thing's selling well and I, I worry a little bit about spending too much time on the app side.", "raw_text": "It's like this thing's selling well and I, I worry a little bit about spending too much time on the app side.", "start_time": 2071.89, "end_time": 2078.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 729, "text": "Not, sorry, not this app feature side.", "raw_text": "Not, sorry, not this app feature side.", "start_time": 2080.09, "end_time": 2081.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 730, "text": "Just, I know the front end side because Claude could just do it.", "raw_text": "Just, I know the front end side because Claude could just do it.", "start_time": 2081.89, "end_time": 2085.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 731, "text": "As far as the defensibility of it, man, I'm just.", "raw_text": "As far as the defensibility of it, man, I'm just.", "start_time": 2085.09, "end_time": 2087.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 732, "text": "But like, is it defensibility even that?", "raw_text": "But like, is it defensibility even that?", "start_time": 2088.09, "end_time": 2090.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 733, "text": "Like, I don't know if that.", "raw_text": "Like, I don't know if that.", "start_time": 2090.09, "end_time": 2091.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 734, "text": "Like, I don't think foundations, like, oh, we bet the company on us selling foundation.", "raw_text": "Like, I don't think foundations, like, oh, we bet the company on us selling foundation.", "start_time": 2091.45, "end_time": 2094.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 735, "text": "But like, foundation is like, I think we'd have enough people that we could convince to go on it.", "raw_text": "But like, foundation is like, I think we'd have enough people that we could convince to go on it.", "start_time": 2094.57, "end_time": 2098.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 736, "text": "It's like we go up and we just kind of like give it out and like, let people use it.", "raw_text": "It's like we go up and we just kind of like give it out and like, let people use it.", "start_time": 2098.73, "end_time": 2102, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 737, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 2102, "end_time": 2102.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 738, "text": "Like, I'm not worried about that.", "raw_text": "Like, I'm not worried about that.", "start_time": 2102.52, "end_time": 2104.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 739, "text": "It's just the, it's.", "raw_text": "It's just the, it's.", "start_time": 2104.4, "end_time": 2105.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 740, "text": "The investment that we'd have to make is very different.", "raw_text": "The investment that we'd have to make is very different.", "start_time": 2105.44, "end_time": 2108.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 741, "text": "Well, I mean, that's the thing.", "raw_text": "Well, I mean, that's the thing.", "start_time": 2108.8, "end_time": 2110.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 742, "text": "Is this a sunk cost or are we that close to just making it working.", "raw_text": "Is this a sunk cost or are we that close to just making it working.", "start_time": 2110.36, "end_time": 2113.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 743, "text": "So now we finally almost have all the pieces.", "raw_text": "So now we finally almost have all the pieces.", "start_time": 2114.16, "end_time": 2116.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 744, "text": "But we've said that before.", "raw_text": "But we've said that before.", "start_time": 2116.4, "end_time": 2117.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 745, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2119.76, "end_time": 2120.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 746, "text": "I mean, that's a loaded question.", "raw_text": "I mean, that's a loaded question.", "start_time": 2120.2, "end_time": 2122.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 747, "text": "Yeah, it's tough.", "raw_text": "Yeah, it's tough.", "start_time": 2123.12, "end_time": 2124.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 748, "text": "That's about my favorite.", "raw_text": "That's about my favorite.", "start_time": 2124.64, "end_time": 2125.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 749, "text": "No, no, it's tough.", "raw_text": "No, no, it's tough.", "start_time": 2125.88, "end_time": 2127.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 750, "text": "But even.", "raw_text": "But even.", "start_time": 2133.51, "end_time": 2133.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 751, "text": "Because they're like.", "raw_text": "Because they're like.", "start_time": 2134.23, "end_time": 2135.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 752, "text": "Like pretty much all we should be doing on the outside is just paralleling what cloud's doing.", "raw_text": "Like pretty much all we should be doing on the outside is just paralleling what cloud's doing.", "start_time": 2137.27, "end_time": 2141.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 753, "text": "They have it figured out.", "raw_text": "They have it figured out.", "start_time": 2142.31, "end_time": 2143.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 754, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2143.51, "end_time": 2143.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 755, "text": "Like, they're doing things the way they're doing it.", "raw_text": "Like, they're doing things the way they're doing it.", "start_time": 2143.91, "end_time": 2146.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 756, "text": "The.", "raw_text": "The.", "start_time": 2147.83, "end_time": 2148.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 757, "text": "It's very strategic.", "raw_text": "It's very strategic.", "start_time": 2148.95, "end_time": 2150.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 758, "text": "Like, even, like when we're talking, go look at the open source cloud code.", "raw_text": "Like, even, like when we're talking, go look at the open source cloud code.", "start_time": 2150.31, "end_time": 2153.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 759, "text": "Good use of my time.", "raw_text": "Good use of my time.", "start_time": 2153.99, "end_time": 2155.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 760, "text": "Well, like we were talking about, like, some of the MCP stuff.", "raw_text": "Well, like we were talking about, like, some of the MCP stuff.", "start_time": 2155.03, "end_time": 2160.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 761, "text": "It's like, well, Claude's doing it this way because then they're not doing any credential handling.", "raw_text": "It's like, well, Claude's doing it this way because then they're not doing any credential handling.", "start_time": 2160.15, "end_time": 2165.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 762, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2165.15, "end_time": 2165.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 763, "text": "It's all through mcps and they're not allowing, like, sharing of that stuff yet.", "raw_text": "It's all through mcps and they're not allowing, like, sharing of that stuff yet.", "start_time": 2165.51, "end_time": 2170.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 764, "text": "Because then you get into this weird like.", "raw_text": "Because then you get into this weird like.", "start_time": 2170.51, "end_time": 2172.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 765, "text": "Like Justin was saying.", "raw_text": "Like Justin was saying.", "start_time": 2173.39, "end_time": 2174.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 766, "text": "It's like, whose credentials are we using for this shared schedule workflow?", "raw_text": "It's like, whose credentials are we using for this shared schedule workflow?", "start_time": 2174.43, "end_time": 2179.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 767, "text": "It's, you know.", "raw_text": "It's, you know.", "start_time": 2179.63, "end_time": 2180.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 768, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2183.16, "end_time": 2183.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 769, "text": "All those details.", "raw_text": "All those details.", "start_time": 2183.36, "end_time": 2184, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 770, "text": "I wanted to say, like, I'm.", "raw_text": "I wanted to say, like, I'm.", "start_time": 2184, "end_time": 2185.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 771, "text": "I'm very focused on foundation from the bootstrapping.", "raw_text": "I'm very focused on foundation from the bootstrapping.", "start_time": 2185.4, "end_time": 2189.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 772, "text": "Like, the client needs standpoint.", "raw_text": "Like, the client needs standpoint.", "start_time": 2189.04, "end_time": 2190.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 773, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2190.84, "end_time": 2191.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 774, "text": "And I just don't.", "raw_text": "And I just don't.", "start_time": 2191.8, "end_time": 2192.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 775, "text": "We just.", "raw_text": "We just.", "start_time": 2193.32, "end_time": 2193.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 776, "text": "I think we just need to make sure we have a balance of not trying to run too far ahead.", "raw_text": "I think we just need to make sure we have a balance of not trying to run too far ahead.", "start_time": 2193.84, "end_time": 2201.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 777, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2201.48, "end_time": 2201.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 778, "text": "And like.", "raw_text": "And like.", "start_time": 2201.92, "end_time": 2202.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 779, "text": "Like, I think we need to innovate like this is our differentiator, but not invest too much time because we don't know if clients will even use this or want this.", "raw_text": "Like, I think we need to innovate like this is our differentiator, but not invest too much time because we don't know if clients will even use this or want this.", "start_time": 2203.16, "end_time": 2211.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 780, "text": "We need this.", "raw_text": "We need this.", "start_time": 2211.33, "end_time": 2212.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 781, "text": "You know what I mean?", "raw_text": "You know what I mean?", "start_time": 2212.29, "end_time": 2213.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 782, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2213.09, "end_time": 2213.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 783, "text": "There's also only one way to find out.", "raw_text": "There's also only one way to find out.", "start_time": 2213.45, "end_time": 2214.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 784, "text": "Yeah, No, I mean, I mean, that's true.", "raw_text": "Yeah, No, I mean, I mean, that's true.", "start_time": 2215.73, "end_time": 2217.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 785, "text": "So it's the catch 22.", "raw_text": "So it's the catch 22.", "start_time": 2220.77, "end_time": 2222.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 786, "text": "Right.", "raw_text": "Right.", "start_time": 2222.29, "end_time": 2222.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 787, "text": "We're not a product company.", "raw_text": "We're not a product company.", "start_time": 2222.49, "end_time": 2223.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 788, "text": "If we're a product company, we just build a feature and.", "raw_text": "If we're a product company, we just build a feature and.", "start_time": 2223.45, "end_time": 2225.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 789, "text": "Yeah, but that's where it's like how.", "raw_text": "Yeah, but that's where it's like how.", "start_time": 2225.73, "end_time": 2227.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 790, "text": "How we want to go about, like, selling and stuff.", "raw_text": "How we want to go about, like, selling and stuff.", "start_time": 2227.25, "end_time": 2228.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 791, "text": "It's more of a strategic decision than a technical decision.", "raw_text": "It's more of a strategic decision than a technical decision.", "start_time": 2228.89, "end_time": 2231.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 792, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2233.01, "end_time": 2233.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 793, "text": "Like, what's a.", "raw_text": "Like, what's a.", "start_time": 2233.33, "end_time": 2234.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 794, "text": "It's a technical investment.", "raw_text": "It's a technical investment.", "start_time": 2234.71, "end_time": 2235.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 795, "text": "Yeah, yeah, yeah, yeah.", "raw_text": "Yeah, yeah, yeah, yeah.", "start_time": 2236.23, "end_time": 2238.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 796, "text": "It's not like, can we do this?", "raw_text": "It's not like, can we do this?", "start_time": 2238.15, "end_time": 2239.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 797, "text": "It's like, should we do this?", "raw_text": "It's like, should we do this?", "start_time": 2239.31, "end_time": 2240.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 798, "text": "But, yeah, I mean, I.", "raw_text": "But, yeah, I mean, I.", "start_time": 2241.91, "end_time": 2242.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 799, "text": "And I don't even think it's like, that far away.", "raw_text": "And I don't even think it's like, that far away.", "start_time": 2242.79, "end_time": 2244.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 800, "text": "Could be the naivety of not doing it yet.", "raw_text": "Could be the naivety of not doing it yet.", "start_time": 2244.63, "end_time": 2246.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 801, "text": "But it's like, I don't think it's that far off.", "raw_text": "But it's like, I don't think it's that far off.", "start_time": 2246.79, "end_time": 2249.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 802, "text": "Like, I do think there's some stuff that.", "raw_text": "Like, I do think there's some stuff that.", "start_time": 2249.79, "end_time": 2251.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 803, "text": "It's like, man, I could just spend like a couple.", "raw_text": "It's like, man, I could just spend like a couple.", "start_time": 2251.71, "end_time": 2253.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 804, "text": "Like, if I just had like a. I feel Like, I move so much faster now.", "raw_text": "Like, if I just had like a. I feel Like, I move so much faster now.", "start_time": 2253.83, "end_time": 2257.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 805, "text": "Like on the app side, nothing Data platform, say like you or I or like one of us should spend like one more day to just clean up some of those UX things of like.", "raw_text": "Like on the app side, nothing Data platform, say like you or I or like one of us should spend like one more day to just clean up some of those UX things of like.", "start_time": 2257.23, "end_time": 2265.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 806, "text": "Because the Workflow builder, like it's pretty much.", "raw_text": "Because the Workflow builder, like it's pretty much.", "start_time": 2265.39, "end_time": 2267.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 807, "text": "It's working, it's good.", "raw_text": "It's working, it's good.", "start_time": 2267.73, "end_time": 2268.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 808, "text": "And then it's like you just add in that extra dashboard screen.", "raw_text": "And then it's like you just add in that extra dashboard screen.", "start_time": 2268.69, "end_time": 2271.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 809, "text": "I think it's like that much easier to sell the product.", "raw_text": "I think it's like that much easier to sell the product.", "start_time": 2271.41, "end_time": 2273.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 810, "text": "And then there is stuff later.", "raw_text": "And then there is stuff later.", "start_time": 2273.73, "end_time": 2275.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 811, "text": "That's where I like, I think we still need to do a bunch of cleanup on our existing stuff.", "raw_text": "That's where I like, I think we still need to do a bunch of cleanup on our existing stuff.", "start_time": 2275.97, "end_time": 2281.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 812, "text": "Oh yeah, you're totally right.", "raw_text": "Oh yeah, you're totally right.", "start_time": 2281.25, "end_time": 2282.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 813, "text": "But the other thing is it's like, well, our whole thought the whole time was not to refactor everything until we figured out what we were selling.", "raw_text": "But the other thing is it's like, well, our whole thought the whole time was not to refactor everything until we figured out what we were selling.", "start_time": 2282.53, "end_time": 2288.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 814, "text": "And now I think we're close enough.", "raw_text": "And now I think we're close enough.", "start_time": 2288.25, "end_time": 2289.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 815, "text": "That's like, okay, like ship this in and then apply it together and then refactor it.", "raw_text": "That's like, okay, like ship this in and then apply it together and then refactor it.", "start_time": 2289.57, "end_time": 2293.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 816, "text": "But I, I just, I don't know.", "raw_text": "But I, I just, I don't know.", "start_time": 2293.77, "end_time": 2295.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 817, "text": "I, I disagree to some extent.", "raw_text": "I, I disagree to some extent.", "start_time": 2295.53, "end_time": 2297.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 818, "text": "I'm like, what are we selling?", "raw_text": "I'm like, what are we selling?", "start_time": 2297.09, "end_time": 2298.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 819, "text": "I mean, we're selling Workflow Builder, Data Platform and like chat with your data.", "raw_text": "I mean, we're selling Workflow Builder, Data Platform and like chat with your data.", "start_time": 2298.68, "end_time": 2305.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 820, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2307.96, "end_time": 2308.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 821, "text": "Like, are they separate products?", "raw_text": "Like, are they separate products?", "start_time": 2308.44, "end_time": 2309.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 822, "text": "Are they the same product?", "raw_text": "Are they the same product?", "start_time": 2310.2, "end_time": 2311.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 823, "text": "Well, I mean, I think they're the, they're the same, like with different modules, but it's.", "raw_text": "Well, I mean, I think they're the, they're the same, like with different modules, but it's.", "start_time": 2311.28, "end_time": 2314.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 824, "text": "We have one, one client on the hook for chat at like a very simple level.", "raw_text": "We have one, one client on the hook for chat at like a very simple level.", "start_time": 2317.56, "end_time": 2321.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 825, "text": "And one on the hook for Workflow Builder.", "raw_text": "And one on the hook for Workflow Builder.", "start_time": 2321.4, "end_time": 2323.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 826, "text": "Well, I guess.", "raw_text": "Well, I guess.", "start_time": 2324.05, "end_time": 2325.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 827, "text": "And no one on the hook for the data platform, which we think is the most like defensible differentiator.", "raw_text": "And no one on the hook for the data platform, which we think is the most like defensible differentiator.", "start_time": 2325.33, "end_time": 2331.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 828, "text": "Well, yeah, this is completely a strategic thing.", "raw_text": "Well, yeah, this is completely a strategic thing.", "start_time": 2332.13, "end_time": 2334.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 829, "text": "Well, the thing is it's like I'm just going to do with foundation because at the end of the day it's like I'm just tasked right now with how am I going to solve the 21 use cases we just talked through and like all of this together can have a thing that solves all the stuff we talked about.", "raw_text": "Well, the thing is it's like I'm just going to do with foundation because at the end of the day it's like I'm just tasked right now with how am I going to solve the 21 use cases we just talked through and like all of this together can have a thing that solves all the stuff we talked about.", "start_time": 2335.81, "end_time": 2350.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 830, "text": "Right.", "raw_text": "Right.", "start_time": 2350.53, "end_time": 2350.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 831, "text": "So it's like that's what I'm trying to optimize.", "raw_text": "So it's like that's what I'm trying to optimize.", "start_time": 2350.85, "end_time": 2352.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 832, "text": "You're operating from the.", "raw_text": "You're operating from the.", "start_time": 2353.49, "end_time": 2354.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 833, "text": "We're the client.", "raw_text": "We're the client.", "start_time": 2355.13, "end_time": 2355.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 834, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 2355.85, "end_time": 2356.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 835, "text": "You're trying to fulfill that.", "raw_text": "You're trying to fulfill that.", "start_time": 2356.53, "end_time": 2357.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 836, "text": "That's exactly what I'm, I'm trying to fulfill.", "raw_text": "That's exactly what I'm, I'm trying to fulfill.", "start_time": 2357.41, "end_time": 2359.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 837, "text": "Like Safeguard.", "raw_text": "Like Safeguard.", "start_time": 2359.05, "end_time": 2359.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 838, "text": "Safeguard does not need this part.", "raw_text": "Safeguard does not need this part.", "start_time": 2359.93, "end_time": 2361.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 839, "text": "Right.", "raw_text": "Right.", "start_time": 2361.93, "end_time": 2362.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 840, "text": "We didn't sell it yet.", "raw_text": "We didn't sell it yet.", "start_time": 2362.21, "end_time": 2363.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 841, "text": "Right.", "raw_text": "Right.", "start_time": 2363.09, "end_time": 2363.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 842, "text": "But also we can just give it to later with the licensing thing.", "raw_text": "But also we can just give it to later with the licensing thing.", "start_time": 2363.37, "end_time": 2366.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 843, "text": "I think that, yeah, we do that and then we should just give this out a few times and then it's like good enough for what we have.", "raw_text": "I think that, yeah, we do that and then we should just give this out a few times and then it's like good enough for what we have.", "start_time": 2366.41, "end_time": 2370.929, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 844, "text": "Like we've built it out.", "raw_text": "Like we've built it out.", "start_time": 2370.929, "end_time": 2372.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 845, "text": "We could just give it to People and then start charging them for it.", "raw_text": "We could just give it to People and then start charging them for it.", "start_time": 2372.05, "end_time": 2374.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 846, "text": "Like it's, it would work out.", "raw_text": "Like it's, it would work out.", "start_time": 2374.09, "end_time": 2375.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 847, "text": "And then my other thing too is like, in my opinion, I really think like we're not a product company so we need, if we want to be able to start charging, that's how we need to get there.", "raw_text": "And then my other thing too is like, in my opinion, I really think like we're not a product company so we need, if we want to be able to start charging, that's how we need to get there.", "start_time": 2375.85, "end_time": 2385.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 848, "text": "And I don't bring it up, but I don't want to go through the whole retainer thing.", "raw_text": "And I don't bring it up, but I don't want to go through the whole retainer thing.", "start_time": 2385.46, "end_time": 2389.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 849, "text": "But if we want to get to a spot where we're charging in those like resource blocks, we have to start right now with like putting in some type of licensing or AI thing with the hours we already charged without charging people more.", "raw_text": "But if we want to get to a spot where we're charging in those like resource blocks, we have to start right now with like putting in some type of licensing or AI thing with the hours we already charged without charging people more.", "start_time": 2389.42, "end_time": 2399.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 850, "text": "So it's like, oh, we fixed through this project at 50k that we're going to give you for 50k.", "raw_text": "So it's like, oh, we fixed through this project at 50k that we're going to give you for 50k.", "start_time": 2399.7, "end_time": 2403.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 851, "text": "Well, 25k of that was our work and 25k of it was like found it like our, our internal AI even though they're paying the same price for the same thing.", "raw_text": "Well, 25k of that was our work and 25k of it was like found it like our, our internal AI even though they're paying the same price for the same thing.", "start_time": 2403.86, "end_time": 2411.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 852, "text": "So then we can like backdate it and be like, this is how we've been using it.", "raw_text": "So then we can like backdate it and be like, this is how we've been using it.", "start_time": 2411.19, "end_time": 2413.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 853, "text": "And then, oh, this like these credits are used or lose it, start putting them in there.", "raw_text": "And then, oh, this like these credits are used or lose it, start putting them in there.", "start_time": 2413.99, "end_time": 2417.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 854, "text": "Even if we operate like tight, then it grows.", "raw_text": "Even if we operate like tight, then it grows.", "start_time": 2417.19, "end_time": 2419.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 855, "text": "But that's above my pay level type of decision.", "raw_text": "But that's above my pay level type of decision.", "start_time": 2419.91, "end_time": 2422.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 856, "text": "So it's like.", "raw_text": "So it's like.", "start_time": 2422.63, "end_time": 2423.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 857, "text": "And I just throw around like I need to be bought in more.", "raw_text": "And I just throw around like I need to be bought in more.", "start_time": 2423.75, "end_time": 2427.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 858, "text": "Like I'm not, I'm not convinced what I would use foundation for.", "raw_text": "Like I'm not, I'm not convinced what I would use foundation for.", "start_time": 2427.11, "end_time": 2431.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 859, "text": "I haven't been convinced about that from the beginning of us.", "raw_text": "I haven't been convinced about that from the beginning of us.", "start_time": 2431.91, "end_time": 2434.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 860, "text": "But the only, the only differentiator is we have a few data sources that we don't have any way of getting into.", "raw_text": "But the only, the only differentiator is we have a few data sources that we don't have any way of getting into.", "start_time": 2434.23, "end_time": 2440.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 861, "text": "Claude.", "raw_text": "Claude.", "start_time": 2442.46, "end_time": 2443.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 862, "text": "So we, you're doing some normalization and cleaning up to give you a nice API through a business.", "raw_text": "So we, you're doing some normalization and cleaning up to give you a nice API through a business.", "start_time": 2443.82, "end_time": 2450.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 863, "text": "That's our way.", "raw_text": "That's our way.", "start_time": 2450.38, "end_time": 2450.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 864, "text": "It's like that's, that makes sense, but it still hasn't been proven to me.", "raw_text": "It's like that's, that makes sense, but it still hasn't been proven to me.", "start_time": 2450.9, "end_time": 2455.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 865, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2455.42, "end_time": 2455.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 866, "text": "So my thought is, well, two thoughts.", "raw_text": "So my thought is, well, two thoughts.", "start_time": 2455.82, "end_time": 2459.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 867, "text": "One is, I don't know why you would use foundation either.", "raw_text": "One is, I don't know why you would use foundation either.", "start_time": 2459.94, "end_time": 2462.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 868, "text": "Like technically there's like a lot of stuff you can do.", "raw_text": "Like technically there's like a lot of stuff you can do.", "start_time": 2462.82, "end_time": 2464.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 869, "text": "Well, I mean some arguments, but my thought was like, okay, we're just going to use foundation as a vehicle for the software already building.", "raw_text": "Well, I mean some arguments, but my thought was like, okay, we're just going to use foundation as a vehicle for the software already building.", "start_time": 2464.7, "end_time": 2471.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 870, "text": "Because it's like if you think about it, if we would have sold it like all the products we sold before, like these licensing deals and we charge you on like usage for it.", "raw_text": "Because it's like if you think about it, if we would have sold it like all the products we sold before, like these licensing deals and we charge you on like usage for it.", "start_time": 2471.43, "end_time": 2477.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 871, "text": "Yeah, but yeah, no, and it's like, okay, we're building just like, oh, we're building you this app.", "raw_text": "Yeah, but yeah, no, and it's like, okay, we're building just like, oh, we're building you this app.", "start_time": 2477.99, "end_time": 2483.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 872, "text": "Well, we're going to build it to you with foundation around it.", "raw_text": "Well, we're going to build it to you with foundation around it.", "start_time": 2483.03, "end_time": 2485.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 873, "text": "You don't have to worry about that.", "raw_text": "You don't have to worry about that.", "start_time": 2485.63, "end_time": 2486.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 874, "text": "That's just how we build our apps.", "raw_text": "That's just how we build our apps.", "start_time": 2486.55, "end_time": 2487.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 875, "text": "Right.", "raw_text": "Right.", "start_time": 2487.91, "end_time": 2488.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 876, "text": "And then they're just using this and then it doesn't matter.", "raw_text": "And then they're just using this and then it doesn't matter.", "start_time": 2488.23, "end_time": 2493.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 877, "text": "We're just, that's just us having it there to turn it on later.", "raw_text": "We're just, that's just us having it there to turn it on later.", "start_time": 2494.08, "end_time": 2496.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 878, "text": "So then we can just make margin because we, if we want to ever make passive income, it's just got to be there.", "raw_text": "So then we can just make margin because we, if we want to ever make passive income, it's just got to be there.", "start_time": 2496.64, "end_time": 2500.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 879, "text": "But, but that.", "raw_text": "But, but that.", "start_time": 2500.56, "end_time": 2501.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 880, "text": "Yeah, that's what I mean.", "raw_text": "Yeah, that's what I mean.", "start_time": 2501.28, "end_time": 2502.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 881, "text": "It's just because it's.", "raw_text": "It's just because it's.", "start_time": 2502.2, "end_time": 2503.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 882, "text": "Like I said, it's not, it's not.", "raw_text": "Like I said, it's not, it's not.", "start_time": 2503.4, "end_time": 2504.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 883, "text": "We're not putting it there because it makes the software better or the technology better or our life's easier as a debt.", "raw_text": "We're not putting it there because it makes the software better or the technology better or our life's easier as a debt.", "start_time": 2504.6, "end_time": 2510.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 884, "text": "It literally doesn't do any of those things.", "raw_text": "It literally doesn't do any of those things.", "start_time": 2510.88, "end_time": 2512.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 885, "text": "But from like a strategic business level, like, I think that makes us way more money in the end.", "raw_text": "But from like a strategic business level, like, I think that makes us way more money in the end.", "start_time": 2512.76, "end_time": 2516.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 886, "text": "And it makes.", "raw_text": "And it makes.", "start_time": 2516.88, "end_time": 2517.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 887, "text": "No, I agree with that.", "raw_text": "No, I agree with that.", "start_time": 2517.84, "end_time": 2518.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 888, "text": "But then, then I think it almost should be a very.", "raw_text": "But then, then I think it almost should be a very.", "start_time": 2518.72, "end_time": 2520.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 889, "text": "Peel back, like.", "raw_text": "Peel back, like.", "start_time": 2520.84, "end_time": 2521.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 890, "text": "I agree.", "raw_text": "I agree.", "start_time": 2523.08, "end_time": 2523.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 891, "text": "And that's what version?", "raw_text": "And that's what version?", "start_time": 2523.4, "end_time": 2524.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 892, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 2524.68, "end_time": 2525.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 893, "text": "We're not ready for that conversation, apparently.", "raw_text": "We're not ready for that conversation, apparently.", "start_time": 2525.2, "end_time": 2527, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 894, "text": "So.", "raw_text": "So.", "start_time": 2527, "end_time": 2527.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 895, "text": "I don't know, like, or.", "raw_text": "I don't know, like, or.", "start_time": 2527.32, "end_time": 2528.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 896, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 2528.32, "end_time": 2529, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 897, "text": "I'm not the person for that conversation.", "raw_text": "I'm not the person for that conversation.", "start_time": 2529.4, "end_time": 2531.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 898, "text": "So I, I understand.", "raw_text": "So I, I understand.", "start_time": 2531.48, "end_time": 2533.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 899, "text": "I'm.", "raw_text": "I'm.", "start_time": 2533.72, "end_time": 2534.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 900, "text": "I'm just, I'm preaching to the choir.", "raw_text": "I'm just, I'm preaching to the choir.", "start_time": 2534.36, "end_time": 2536.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 901, "text": "Yeah, you are.", "raw_text": "Yeah, you are.", "start_time": 2536.92, "end_time": 2537.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 902, "text": "Same.", "raw_text": "Same.", "start_time": 2537.68, "end_time": 2537.959, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 903, "text": "That's what you and I are just building with different directions and we're like, you're wrong.", "raw_text": "That's what you and I are just building with different directions and we're like, you're wrong.", "start_time": 2537.959, "end_time": 2541.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 904, "text": "I'm just trying to fulfill the requirements I have to get, you know.", "raw_text": "I'm just trying to fulfill the requirements I have to get, you know.", "start_time": 2541.56, "end_time": 2544.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 905, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2544.04, "end_time": 2544.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 906, "text": "And same.", "raw_text": "And same.", "start_time": 2544.32, "end_time": 2544.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 907, "text": "Same with you.", "raw_text": "Same with you.", "start_time": 2544.84, "end_time": 2545.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 908, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2545.56, "end_time": 2546.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 909, "text": "At least you're getting paid.", "raw_text": "At least you're getting paid.", "start_time": 2546.04, "end_time": 2546.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 910, "text": "I'm just unbillable, spinning stuff up.", "raw_text": "I'm just unbillable, spinning stuff up.", "start_time": 2546.96, "end_time": 2548.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 911, "text": "I'm like half, I'm like half paid.", "raw_text": "I'm like half, I'm like half paid.", "start_time": 2550.39, "end_time": 2552.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 912, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2552.71, "end_time": 2553.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 913, "text": "But, yeah, I don't know.", "raw_text": "But, yeah, I don't know.", "start_time": 2553.51, "end_time": 2554.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 914, "text": "I think this is like sweet regardless, but I don't know what we want to do with it.", "raw_text": "I think this is like sweet regardless, but I don't know what we want to do with it.", "start_time": 2554.43, "end_time": 2558.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 915, "text": "Yeah, no, I think that, I mean, I think it, it's, it's sweet.", "raw_text": "Yeah, no, I think that, I mean, I think it, it's, it's sweet.", "start_time": 2560.39, "end_time": 2563.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 916, "text": "Like, there's like so many features in it.", "raw_text": "Like, there's like so many features in it.", "start_time": 2563.47, "end_time": 2566.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 917, "text": "It's almost like it's like feature overload for me.", "raw_text": "It's almost like it's like feature overload for me.", "start_time": 2567.51, "end_time": 2569.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 918, "text": "I'm like, okay, like, no, that's what I was thinking about.", "raw_text": "I'm like, okay, like, no, that's what I was thinking about.", "start_time": 2569.79, "end_time": 2571.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 919, "text": "I don't want to like build too much.", "raw_text": "I don't want to like build too much.", "start_time": 2571.83, "end_time": 2572.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 920, "text": "Mitch asked me to like, now I try to like show guys what is there.", "raw_text": "Mitch asked me to like, now I try to like show guys what is there.", "start_time": 2572.99, "end_time": 2575.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 921, "text": "I'm like, dog, I need a three hour training session to tell you guys what's in all of this.", "raw_text": "I'm like, dog, I need a three hour training session to tell you guys what's in all of this.", "start_time": 2575.47, "end_time": 2578.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 922, "text": "And it's like, but that's a, that's a, like a client problem too.", "raw_text": "And it's like, but that's a, that's a, like a client problem too.", "start_time": 2578.92, "end_time": 2582.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 923, "text": "And even like an internal tool problem is like, it needs to be simple enough that people are going to be willing to spend the time to.", "raw_text": "And even like an internal tool problem is like, it needs to be simple enough that people are going to be willing to spend the time to.", "start_time": 2582.4, "end_time": 2589.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 924, "text": "You know what I mean?", "raw_text": "You know what I mean?", "start_time": 2589.96, "end_time": 2590.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 925, "text": "And simple enough to understand.", "raw_text": "And simple enough to understand.", "start_time": 2590.76, "end_time": 2591.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 926, "text": "Re.", "raw_text": "Re.", "start_time": 2592.12, "end_time": 2592.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 927, "text": "I did, I did get a nice litmus test the other day, Reed, who had never seen it, I like logged him in and he starts messing around with the workflow.", "raw_text": "I did, I did get a nice litmus test the other day, Reed, who had never seen it, I like logged him in and he starts messing around with the workflow.", "start_time": 2592.48, "end_time": 2598.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 928, "text": "Like, this is sweet.", "raw_text": "Like, this is sweet.", "start_time": 2598.16, "end_time": 2599.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 929, "text": "Like, I can like do stuff with this.", "raw_text": "Like, I can like do stuff with this.", "start_time": 2599.08, "end_time": 2600.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 930, "text": "But he's like, not.", "raw_text": "But he's like, not.", "start_time": 2600.6, "end_time": 2601.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 931, "text": "But I was like, he's a good litmus test for like a business user.", "raw_text": "But I was like, he's a good litmus test for like a business user.", "start_time": 2601.4, "end_time": 2603.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 932, "text": "Yeah, it's like that.", "raw_text": "Yeah, it's like that.", "start_time": 2603.8, "end_time": 2604.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 933, "text": "That was the thing.", "raw_text": "That was the thing.", "start_time": 2604.68, "end_time": 2605.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 934, "text": "That's a business user too.", "raw_text": "That's a business user too.", "start_time": 2605.36, "end_time": 2606.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 935, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 2606.8, "end_time": 2607.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 936, "text": "Like, I pushing for, like, let me get this WYSIWYG thing so someone like Reed could just start using it for things.", "raw_text": "Like, I pushing for, like, let me get this WYSIWYG thing so someone like Reed could just start using it for things.", "start_time": 2607.28, "end_time": 2612.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 937, "text": "And like, he seemed to have gotten an unlock for from it is what he claimed.", "raw_text": "And like, he seemed to have gotten an unlock for from it is what he claimed.", "start_time": 2612.82, "end_time": 2616.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 938, "text": "But I don't know, he might be nice.", "raw_text": "But I don't know, he might be nice.", "start_time": 2616.54, "end_time": 2617.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 939, "text": "But I know he would tell me if he thought it so.", "raw_text": "But I know he would tell me if he thought it so.", "start_time": 2618.42, "end_time": 2620.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 940, "text": "So I thought that was cool.", "raw_text": "So I thought that was cool.", "start_time": 2621.06, "end_time": 2622.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 941, "text": "No, for sure.", "raw_text": "No, for sure.", "start_time": 2623.06, "end_time": 2623.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 942, "text": "But yeah, we have our own power bi now, basically.", "raw_text": "But yeah, we have our own power bi now, basically.", "start_time": 2623.86, "end_time": 2626.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 943, "text": "There we go.", "raw_text": "There we go.", "start_time": 2628.18, "end_time": 2628.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 944, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2629.38, "end_time": 2629.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 945, "text": "Putting the cube behind that stuff is like.", "raw_text": "Putting the cube behind that stuff is like.", "start_time": 2629.74, "end_time": 2631.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 946, "text": "I just love the name of key.", "raw_text": "I just love the name of key.", "start_time": 2633.47, "end_time": 2634.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 947, "text": "Oh, gosh, no.", "raw_text": "Oh, gosh, no.", "start_time": 2639.95, "end_time": 2640.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 948, "text": "I didn't want to close that one.", "raw_text": "I didn't want to close that one.", "start_time": 2640.87, "end_time": 2642.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 949, "text": "No.", "raw_text": "No.", "start_time": 2642.75, "end_time": 2643.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 950, "text": "But yeah, I'll.", "raw_text": "But yeah, I'll.", "start_time": 2648.75, "end_time": 2649.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 951, "text": "I'll get you all my branch information so you can look at it and see if you want to like, pick from it.", "raw_text": "I'll get you all my branch information so you can look at it and see if you want to like, pick from it.", "start_time": 2649.83, "end_time": 2653.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 952, "text": "But I won't merge it.", "raw_text": "But I won't merge it.", "start_time": 2654.03, "end_time": 2655.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 953, "text": "Well, that's the thing too is it's like I could maybe I'll merge it in a demo or I could just like, rebase it or I can just leave it.", "raw_text": "Well, that's the thing too is it's like I could maybe I'll merge it in a demo or I could just like, rebase it or I can just leave it.", "start_time": 2655.19, "end_time": 2660.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 954, "text": "It's not like we're get that out of sync week.", "raw_text": "It's not like we're get that out of sync week.", "start_time": 2660.35, "end_time": 2662.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 955, "text": "No.", "raw_text": "No.", "start_time": 2664.72, "end_time": 2665.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 956, "text": "And even this, like, the stuff I'm changing is probably not going to overlap.", "raw_text": "And even this, like, the stuff I'm changing is probably not going to overlap.", "start_time": 2665.08, "end_time": 2668.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 957, "text": "It all looks pretty minor.", "raw_text": "It all looks pretty minor.", "start_time": 2668.84, "end_time": 2670.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 958, "text": "So I think I'm okay.", "raw_text": "So I think I'm okay.", "start_time": 2670.04, "end_time": 2670.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 959, "text": "I just know, like, I just wanted to be like, one of Justin's branches that, like, we got it.", "raw_text": "I just know, like, I just wanted to be like, one of Justin's branches that, like, we got it.", "start_time": 2670.76, "end_time": 2673.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 960, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 2673.48, "end_time": 2673.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 961, "text": "And like, three months later, we got to re.", "raw_text": "And like, three months later, we got to re.", "start_time": 2673.8, "end_time": 2675.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 962, "text": "Cherry pick everything.", "raw_text": "Cherry pick everything.", "start_time": 2675.08, "end_time": 2675.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 963, "text": "We'll probably have to do that.", "raw_text": "We'll probably have to do that.", "start_time": 2675.88, "end_time": 2677.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 964, "text": "We're gonna have to do it either way.", "raw_text": "We're gonna have to do it either way.", "start_time": 2677.28, "end_time": 2678.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 965, "text": "But Justin's got.", "raw_text": "But Justin's got.", "start_time": 2680.08, "end_time": 2681.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 966, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2681.08, "end_time": 2681.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 967, "text": "He had all these, like, sweet bits and pieces everywhere.", "raw_text": "He had all these, like, sweet bits and pieces everywhere.", "start_time": 2681.28, "end_time": 2683.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 968, "text": "I got like.", "raw_text": "I got like.", "start_time": 2685.76, "end_time": 2686.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 969, "text": "All right, that's enough of this meeting.", "raw_text": "All right, that's enough of this meeting.", "start_time": 2687.61, "end_time": 2688.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}]
participant_count
4
participants
[{"email": "caden.kacmarynski@morelandconnect.com", "name": null}, {"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KM3CSM32JGPD82R7ETJA174R | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KM3CSM32JGPD82R7ETJA174R
title
Foundation Stand up
date
2026-03-26 17:00:00+00:00
duration_minutes
121
duration
121
transcript_url
https://app.fireflies.ai/view/01KM3CSM32JGPD82R7ETJA174R
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_MzQ3M2YzNjUtMjU5Ny00N2FiLThhYjItNjM5YmRhODA4ZmQ2@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team discussed the development of a scope creep detection workflow using Murf’s agent and Cube tool, achieving 92% accuracy while facing evaluation challenges and access issues with SharePoint. Strategies for entity mapping, notification systems, and concurrency problems with the AI gateway were proposed. In terms of environment setup, challenges regarding variable management in Vercel were highlighted, complicating staging processes. The importance of user adoption and education for successful integration was emphasized, alongside plans for automated content generation with human oversight to ensure accountability. Finally, Foundation was envisioned as a central hub to unify workflows and enhance user interaction, leveraging shared context and notifications.
action_items
"\\n**Caden Kacmarynski**\\nObtain SharePoint folder access via site admin and use Teams app for navigation (05:12)\\nComplete demo environment setup by inputting correct Supabase password from Justin (14:44)\\nFix environment variable configurations in Vercel (production/demo) and align with Supabase branching (57:48)\\nSet up Azure staging VMs for data platform by duplicating production VMs and coordinate access with Azure admins (18:02)\\nDevelop Remotion demo video scripts with Reed after demo environment setup (15:28)\\n\\n**Justin Wray**\\nShare Supabase database password and environment credentials with Caden (06:39)\\nImprove UI representation for cube workflow analyzer and clean up workflow builder agent credential handling (06:56)\\nInvestigate AI gateway concurrency and rate-limiting issues, especially with parallel processing in workflows (11:34)\\nContinue work on adding new workflow trigger types based on user session and normalize structured AI output (13:10)\\nAssist Caden on Vercel environment variable management and provide guidance on deployment nuances (57:48)\\nSupport training and adoption of phase one workflows for project operations and enable better sharing of automation workflows (01:14:30)\\n\\n**Murph**\\nPotentially review and assist with entity mapping accuracy on active projects to support workflow efficiency and Slack integration (09:11)\\nAdd Caden and others to Azure subscriptions and resource groups to allow infrastructure access (21:24)\\n\\n**Dohan**\\nPotentially verify entity mappings for ongoing accuracy on active projects to support workflow automation (09:20)\\n"
transcript_text
[{"index": 0, "text": "How's it going?", "raw_text": "How's it going?", "start_time": 0.8, "end_time": 1.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1, "text": "It's going good.", "raw_text": "It's going good.", "start_time": 2.96, "end_time": 3.84, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 2, "text": "Murph's here with me.", "raw_text": "Murph's here with me.", "start_time": 5.04, "end_time": 6.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 3, "text": "Sounds good.", "raw_text": "Sounds good.", "start_time": 6.88, "end_time": 7.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 4, "text": "David said he can't make it.", "raw_text": "David said he can't make it.", "start_time": 7.4, "end_time": 8.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 5, "text": "I know he's got something going on.", "raw_text": "I know he's got something going on.", "start_time": 8.6, "end_time": 9.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 6, "text": "Okay,.", "raw_text": "Okay,.", "start_time": 10.48, "end_time": 11.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "So I've got some.", "raw_text": "So I've got some.", "start_time": 17.76, "end_time": 20.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 8, "text": "I got.", "raw_text": "I got.", "start_time": 20.56, "end_time": 21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 9, "text": "Well, I got one workflow working.", "raw_text": "Well, I got one workflow working.", "start_time": 21, "end_time": 22.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 10, "text": "It's pretty cool.", "raw_text": "It's pretty cool.", "start_time": 22.8, "end_time": 23.76, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 11, "text": "Which workflow?", "raw_text": "Which workflow?", "start_time": 25.69, "end_time": 26.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 12, "text": "It's like one of the Fireflies analyzers.", "raw_text": "It's like one of the Fireflies analyzers.", "start_time": 27.21, "end_time": 31.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 13, "text": "We could probably expand it to do a lot more, but it's just like scope creep detection.", "raw_text": "We could probably expand it to do a lot more, but it's just like scope creep detection.", "start_time": 31.13, "end_time": 35.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 14, "text": "Oh, nice.", "raw_text": "Oh, nice.", "start_time": 36.57, "end_time": 37.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 15, "text": "Using Murf's agent and then kind of backed into like a cube tool as well as the result.", "raw_text": "Using Murf's agent and then kind of backed into like a cube tool as well as the result.", "start_time": 40.49, "end_time": 51.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 16, "text": "But I could share that here.", "raw_text": "But I could share that here.", "start_time": 54.49, "end_time": 56.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 17, "text": "Window.", "raw_text": "Window.", "start_time": 64.81, "end_time": 65.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 18, "text": "I can delete these RL analyzed.", "raw_text": "I can delete these RL analyzed.", "start_time": 82.9, "end_time": 85.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 19, "text": "Can you see this whole whip screen?", "raw_text": "Can you see this whole whip screen?", "start_time": 88.58, "end_time": 90.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 20, "text": "Oh yeah, I think so.", "raw_text": "Oh yeah, I think so.", "start_time": 91.06, "end_time": 93.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 21, "text": "I think I did.", "raw_text": "I think I did.", "start_time": 93.58, "end_time": 94.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 22, "text": "Why is it not.", "raw_text": "Why is it not.", "start_time": 95.38, "end_time": 96.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 23, "text": "It's not like highlighting what I have here.", "raw_text": "It's not like highlighting what I have here.", "start_time": 99.46, "end_time": 101.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 24, "text": "It's weird.", "raw_text": "It's weird.", "start_time": 102.02, "end_time": 102.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 25, "text": "I see your foundation workflow though.", "raw_text": "I see your foundation workflow though.", "start_time": 105.09, "end_time": 106.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 107.57, "end_time": 108.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 27, "text": "So this cube, there's some weird off stuff that Murph and I were talking about with it when you.", "raw_text": "So this cube, there's some weird off stuff that Murph and I were talking about with it when you.", "start_time": 109.41, "end_time": 116.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 28, "text": "When you trigger it via like a cron and.", "raw_text": "When you trigger it via like a cron and.", "start_time": 117.01, "end_time": 121.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 29, "text": "Or a webhook I guess would be the same thing.", "raw_text": "Or a webhook I guess would be the same thing.", "start_time": 121.65, "end_time": 124.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 30, "text": "We don't really have like a true.", "raw_text": "We don't really have like a true.", "start_time": 125.73, "end_time": 127.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 31, "text": "Org level off with this with cube.", "raw_text": "Org level off with this with cube.", "start_time": 129.42, "end_time": 133.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 32, "text": "So it just like creates a JWT on the fly for itself.", "raw_text": "So it just like creates a JWT on the fly for itself.", "start_time": 134.06, "end_time": 137.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 33, "text": "So probably not the most secure practice or best practice, but works.", "raw_text": "So probably not the most secure practice or best practice, but works.", "start_time": 138.22, "end_time": 143.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 34, "text": "And then we were talking about like, I don't know if this should be like in the platform long term, but I had this idea of like this process table.", "raw_text": "And then we were talking about like, I don't know if this should be like in the platform long term, but I had this idea of like this process table.", "start_time": 146.94, "end_time": 160.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 35, "text": "So for a particular workflow and an entity id, did we already process this thing?", "raw_text": "So for a particular workflow and an entity id, did we already process this thing?", "start_time": 161.17, "end_time": 167.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 36, "text": "And if not, don't process it again.", "raw_text": "And if not, don't process it again.", "start_time": 167.25, "end_time": 169.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 37, "text": "So that's in there right now.", "raw_text": "So that's in there right now.", "start_time": 170.37, "end_time": 172.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 38, "text": "It's like it's going to be in Supabase.", "raw_text": "It's like it's going to be in Supabase.", "start_time": 172.45, "end_time": 174.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 39, "text": "And then the other thing I added, it's not.", "raw_text": "And then the other thing I added, it's not.", "start_time": 177.97, "end_time": 180.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 40, "text": "This actually doesn't like represent what it does very well visually, but there's this like for each node that would.", "raw_text": "This actually doesn't like represent what it does very well visually, but there's this like for each node that would.", "start_time": 180.29, "end_time": 189.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 41, "text": "It's actually running these next three nodes in parallel for every meeting.", "raw_text": "It's actually running these next three nodes in parallel for every meeting.", "start_time": 189.81, "end_time": 195.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 42, "text": "So it just speeds up the.", "raw_text": "So it just speeds up the.", "start_time": 200.05, "end_time": 201.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 43, "text": "How fast it could process things rather than doing it serially, which that was kind of what this node is for.", "raw_text": "How fast it could process things rather than doing it serially, which that was kind of what this node is for.", "start_time": 201.49, "end_time": 210.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 44, "text": "And then it basically passes the meeting into this agent that Murph had with the prompt.", "raw_text": "And then it basically passes the meeting into this agent that Murph had with the prompt.", "start_time": 212.78, "end_time": 220.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 45, "text": "And it defines like the output once from this agent and like a structured output.", "raw_text": "And it defines like the output once from this agent and like a structured output.", "start_time": 223.82, "end_time": 232.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 46, "text": "And right now it's just writing the SharePoint and then marking it as processed.", "raw_text": "And right now it's just writing the SharePoint and then marking it as processed.", "start_time": 233.35, "end_time": 237.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 47, "text": "So it's a good starting point, I think for some of the other things we were.", "raw_text": "So it's a good starting point, I think for some of the other things we were.", "start_time": 240.23, "end_time": 244.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 48, "text": "We were looking at, I think it'll be a pretty similar workflow to this.", "raw_text": "We were looking at, I think it'll be a pretty similar workflow to this.", "start_time": 244.51, "end_time": 248.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 49, "text": "And then this just runs like nightly or I guess in the Morning after the nightly data pool.", "raw_text": "And then this just runs like nightly or I guess in the Morning after the nightly data pool.", "start_time": 250.71, "end_time": 256.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 50, "text": "It did a pretty good job.", "raw_text": "It did a pretty good job.", "start_time": 261.1, "end_time": 262.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 51, "text": "Like I think what we're struggling with really is like evals on any of this.", "raw_text": "Like I think what we're struggling with really is like evals on any of this.", "start_time": 262.54, "end_time": 267.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 52, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 270.3, "end_time": 270.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 53, "text": "And I don't know how we'd get there.", "raw_text": "And I don't know how we'd get there.", "start_time": 271.42, "end_time": 273.02, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 54, "text": "Foundation data.", "raw_text": "Foundation data.", "start_time": 280.3, "end_time": 281.42, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 55, "text": "So then if it.", "raw_text": "So then if it.", "start_time": 286.1, "end_time": 286.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 56, "text": "It can figure.", "raw_text": "It can figure.", "start_time": 286.78, "end_time": 287.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 57, "text": "If it can figure it out, it will put it in SharePoint under the canonical company name and Canonical project name.", "raw_text": "If it can figure it out, it will put it in SharePoint under the canonical company name and Canonical project name.", "start_time": 287.58, "end_time": 301.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 58, "text": "If it can't figure it out, it goes into like just a generic folder.", "raw_text": "If it can't figure it out, it goes into like just a generic folder.", "start_time": 304.58, "end_time": 310.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 59, "text": "If I have access to the SharePoint.", "raw_text": "If I have access to the SharePoint.", "start_time": 312.86, "end_time": 314.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "OD scope events.", "raw_text": "OD scope events.", "start_time": 318.7, "end_time": 321.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 61, "text": "So you can see this is actually pretty good.", "raw_text": "So you can see this is actually pretty good.", "start_time": 323.02, "end_time": 324.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 62, "text": "So this is one that I was actually on this call.", "raw_text": "So this is one that I was actually on this call.", "start_time": 328.3, "end_time": 331.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 63, "text": "So David was talking about how OD wanted to switch to Microsoft SQL and that's really not what the arrangement letter says.", "raw_text": "So David was talking about how OD wanted to switch to Microsoft SQL and that's really not what the arrangement letter says.", "start_time": 332.54, "end_time": 346.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 64, "text": "And it calls this out as like 92% confidence that this is a change request or scope creep.", "raw_text": "And it calls this out as like 92% confidence that this is a change request or scope creep.", "start_time": 346.71, "end_time": 352.87, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 65, "text": "That's pretty good.", "raw_text": "That's pretty good.", "start_time": 355.59, "end_time": 356.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 66, "text": "And where is this?", "raw_text": "And where is this?", "start_time": 356.39, "end_time": 357.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 67, "text": "This is Moreland Connect internal business.", "raw_text": "This is Moreland Connect internal business.", "start_time": 357.47, "end_time": 360.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 68, "text": "Yeah, it's where the biz it's.", "raw_text": "Yeah, it's where the biz it's.", "start_time": 361.75, "end_time": 363.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 69, "text": "You should have access to it because you can get all.", "raw_text": "You should have access to it because you can get all.", "start_time": 363.83, "end_time": 365.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 70, "text": "You can't you get to like the biz def documents.", "raw_text": "You can't you get to like the biz def documents.", "start_time": 365.75, "end_time": 368.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 71, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 369.03, "end_time": 369.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 72, "text": "Last time I tried to use SharePoint I couldn't move around.", "raw_text": "Last time I tried to use SharePoint I couldn't move around.", "start_time": 369.67, "end_time": 371.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 73, "text": "Well, I, I've been using a while more than Connect.", "raw_text": "Well, I, I've been using a while more than Connect.", "start_time": 371.79, "end_time": 374.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 74, "text": "Do you go through Moreland Connect Home to get there?", "raw_text": "Do you go through Moreland Connect Home to get there?", "start_time": 374.23, "end_time": 376.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 75, "text": "I don't know how you do it from.", "raw_text": "I don't know how you do it from.", "start_time": 377.27, "end_time": 378.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 76, "text": "The easiest way to use a Team Teams app is to not use SharePoint.", "raw_text": "The easiest way to use a Team Teams app is to not use SharePoint.", "start_time": 379.19, "end_time": 383.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 77, "text": "When I go to SharePoint like I, I cannot figure out how to get here either.", "raw_text": "When I go to SharePoint like I, I cannot figure out how to get here either.", "start_time": 384.15, "end_time": 388.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 78, "text": "I can't, I can't get there.", "raw_text": "I can't, I can't get there.", "start_time": 388.27, "end_time": 389.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 79, "text": "It's like not there.", "raw_text": "It's like not there.", "start_time": 389.79, "end_time": 390.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 80, "text": "Set up through teams.", "raw_text": "Set up through teams.", "start_time": 390.79, "end_time": 391.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 81, "text": "So if you go a lot easier.", "raw_text": "So if you go a lot easier.", "start_time": 391.91, "end_time": 394.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 82, "text": "Okay, I'll go try that.", "raw_text": "Okay, I'll go try that.", "start_time": 394.77, "end_time": 396.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 83, "text": "I can give you the URL as well.", "raw_text": "I can give you the URL as well.", "start_time": 397.01, "end_time": 398.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 84, "text": "I would take the URL because I don't even know if I. I don't think I have access, but we'll see.", "raw_text": "I would take the URL because I don't even know if I. I don't think I have access, but we'll see.", "start_time": 399.81, "end_time": 404.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 85, "text": "All right.", "raw_text": "All right.", "start_time": 415.57, "end_time": 416.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 86, "text": "I just threw it in the chat.", "raw_text": "I just threw it in the chat.", "start_time": 416.01, "end_time": 417.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 87, "text": "So now I'm go.", "raw_text": "So now I'm go.", "start_time": 425.26, "end_time": 425.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 88, "text": "I'm going to go through the process.", "raw_text": "I'm going to go through the process.", "start_time": 425.86, "end_time": 427.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 89, "text": "Like when Claude did some of these, like it made these nodes but they work.", "raw_text": "Like when Claude did some of these, like it made these nodes but they work.", "start_time": 427.18, "end_time": 434.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 90, "text": "But like they don't.", "raw_text": "But like they don't.", "start_time": 434.26, "end_time": 435.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 91, "text": "They're not like well represented on the UI for some reason.", "raw_text": "They're not like well represented on the UI for some reason.", "start_time": 435.1, "end_time": 437.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 92, "text": "So I've gone through the process.", "raw_text": "So I've gone through the process.", "start_time": 440.7, "end_time": 441.9, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 93, "text": "Like I got the Cube one cleaned up so it's actually like showing the dimensions and stuff.", "raw_text": "Like I got the Cube one cleaned up so it's actually like showing the dimensions and stuff.", "start_time": 441.9, "end_time": 446.87, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 94, "text": "I'm gonna go through those and get those cleaned up.", "raw_text": "I'm gonna go through those and get those cleaned up.", "start_time": 448.15, "end_time": 451.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 95, "text": "But I need a, I need a site admin to give me access.", "raw_text": "But I need a, I need a site admin to give me access.", "start_time": 451.43, "end_time": 453.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 96, "text": "I can't get to that folder.", "raw_text": "I can't get to that folder.", "start_time": 454.07, "end_time": 455.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "Okay.", "raw_text": "Okay.", "start_time": 456.23, "end_time": 456.79, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 98, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 463.83, "end_time": 464.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 99, "text": "Now we were also talking like long term.", "raw_text": "Now we were also talking like long term.", "start_time": 464.19, "end_time": 466.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 100, "text": "Like I, I really don't think it makes sense for it to be in this folder.", "raw_text": "Like I, I really don't think it makes sense for it to be in this folder.", "start_time": 468.63, "end_time": 471.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 101, "text": "I just use this folder because my SharePoint credentials that I use have access to this folder already.", "raw_text": "I just use this folder because my SharePoint credentials that I use have access to this folder already.", "start_time": 471.31, "end_time": 476.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 102, "text": "Biz dev.", "raw_text": "Biz dev.", "start_time": 477.7, "end_time": 478.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 103, "text": "So really this could probably be somewhere completely different.", "raw_text": "So really this could probably be somewhere completely different.", "start_time": 479.94, "end_time": 482.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 104, "text": "We just need to set it up.", "raw_text": "We just need to set it up.", "start_time": 482.9, "end_time": 484.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 105, "text": "Yeah, it would probably just be helpful if we're.", "raw_text": "Yeah, it would probably just be helpful if we're.", "start_time": 485.22, "end_time": 486.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 106, "text": "If I'm gonna help automate it.", "raw_text": "If I'm gonna help automate it.", "start_time": 486.94, "end_time": 487.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 107, "text": "I just know that last time I tried to go through automate and stuff I just gave up on SharePoint because I never got access to any.", "raw_text": "I just know that last time I tried to go through automate and stuff I just gave up on SharePoint because I never got access to any.", "start_time": 487.98, "end_time": 493.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 108, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 502.35, "end_time": 502.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 109, "text": "So I think what I'm doing next is.", "raw_text": "So I think what I'm doing next is.", "start_time": 502.67, "end_time": 504.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 110, "text": "And this might play into the next meeting you had on the calendar.", "raw_text": "And this might play into the next meeting you had on the calendar.", "start_time": 504.95, "end_time": 508.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 111, "text": "Yeah, like this is cool that it writes this data to SharePoint but I'm going to go through and add like this events view that would just show like a list based view that's filterable.", "raw_text": "Yeah, like this is cool that it writes this data to SharePoint but I'm going to go through and add like this events view that would just show like a list based view that's filterable.", "start_time": 509.23, "end_time": 524.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 112, "text": "Nice.", "raw_text": "Nice.", "start_time": 524.71, "end_time": 525.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 113, "text": "Of like every workflow that ran and like what it like the artifacts that were produced by these automated workflows.", "raw_text": "Of like every workflow that ran and like what it like the artifacts that were produced by these automated workflows.", "start_time": 525.07, "end_time": 533.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 114, "text": "Oh, nice.", "raw_text": "Oh, nice.", "start_time": 533.97, "end_time": 534.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 115, "text": "Did you add that or is that somewhere yet?", "raw_text": "Did you add that or is that somewhere yet?", "start_time": 534.57, "end_time": 536.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "No, I just added it.", "raw_text": "No, I just added it.", "start_time": 536.77, "end_time": 538.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 117, "text": "It's like five minutes ago.", "raw_text": "It's like five minutes ago.", "start_time": 538.05, "end_time": 540.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 118, "text": "It just.", "raw_text": "It just.", "start_time": 540.25, "end_time": 540.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 119, "text": "It just did it.", "raw_text": "It just did it.", "start_time": 541.09, "end_time": 541.849, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 120, "text": "Yeah, we, we talked about that a while ago as like a logs page or something.", "raw_text": "Yeah, we, we talked about that a while ago as like a logs page or something.", "start_time": 541.849, "end_time": 545.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 121, "text": "But if that events make sense.", "raw_text": "But if that events make sense.", "start_time": 545.41, "end_time": 546.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "Or are we still going with catalysts or what's our word now?", "raw_text": "Or are we still going with catalysts or what's our word now?", "start_time": 546.89, "end_time": 549.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "I don't know, I'm not sure.", "raw_text": "I don't know, I'm not sure.", "start_time": 551.01, "end_time": 552.21, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 124, "text": "Yeah, it's good.", "raw_text": "Yeah, it's good.", "start_time": 553.82, "end_time": 554.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 125, "text": "And then the other thing Murph and I talked about was like having someone go through and it could be like dohar maybe could go through on the entity mapping stuff.", "raw_text": "And then the other thing Murph and I talked about was like having someone go through and it could be like dohar maybe could go through on the entity mapping stuff.", "start_time": 559.74, "end_time": 579.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 126, "text": "And it doesn't have to be forever but like our active 20 projects or whatever we're working on, like make sure these are all like accurate.", "raw_text": "And it doesn't have to be forever but like our active 20 projects or whatever we're working on, like make sure these are all like accurate.", "start_time": 584.73, "end_time": 592.97, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 127, "text": "So like for instance, this has like a million contracts.", "raw_text": "So like for instance, this has like a million contracts.", "start_time": 592.97, "end_time": 597.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 128, "text": "It's pointing to like we only need one contract in here per project.", "raw_text": "It's pointing to like we only need one contract in here per project.", "start_time": 597.41, "end_time": 602.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 129, "text": "And I might have to spruce up the UI to do this to make it easier.", "raw_text": "And I might have to spruce up the UI to do this to make it easier.", "start_time": 605.75, "end_time": 608.87, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 130, "text": "But then we could also add like Slack as a property so that as these workflows finish up we maybe we write the SharePoint, we write to the internal event log.", "raw_text": "But then we could also add like Slack as a property so that as these workflows finish up we maybe we write the SharePoint, we write to the internal event log.", "start_time": 609.59, "end_time": 623.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 131, "text": "But we also like Slack the project channel.", "raw_text": "But we also like Slack the project channel.", "start_time": 624.39, "end_time": 627.43, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 132, "text": "Like and we'll have to make sure we're not causing any like alert fatigue or anything.", "raw_text": "Like and we'll have to make sure we're not causing any like alert fatigue or anything.", "start_time": 627.59, "end_time": 633.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 133, "text": "Like get that Right.", "raw_text": "Like get that Right.", "start_time": 633.35, "end_time": 634.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 134, "text": "But if we have all those entity mappings correct for at least the active projects, that should work really well.", "raw_text": "But if we have all those entity mappings correct for at least the active projects, that should work really well.", "start_time": 634.81, "end_time": 641.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 135, "text": "See these events are showing up in here yet.", "raw_text": "See these events are showing up in here yet.", "start_time": 691.75, "end_time": 694.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 136, "text": "No.", "raw_text": "No.", "start_time": 694.07, "end_time": 694.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 137, "text": "Oh, the other thing that came up was in these workflows when I ran this like parallel processing, we hit some concurrency issue with our AI gateway or something was like bombing out just from.", "raw_text": "Oh, the other thing that came up was in these workflows when I ran this like parallel processing, we hit some concurrency issue with our AI gateway or something was like bombing out just from.", "start_time": 706.55, "end_time": 720.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 138, "text": "Running one of the because they're in parallel or why'd that happen?", "raw_text": "Running one of the because they're in parallel or why'd that happen?", "start_time": 720.96, "end_time": 723.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 139, "text": "Or do we not know?", "raw_text": "Or do we not know?", "start_time": 723.44, "end_time": 724.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 140, "text": "Yeah, like I had 11, I had like 11 meetings running in parallel with this agent.", "raw_text": "Yeah, like I had 11, I had like 11 meetings running in parallel with this agent.", "start_time": 724.24, "end_time": 728.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 141, "text": "It was probably just like crushing our gateway.", "raw_text": "It was probably just like crushing our gateway.", "start_time": 728.48, "end_time": 730.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 142, "text": "So we were gonna look into like we have some rate limits set up or are we hitting something?", "raw_text": "So we were gonna look into like we have some rate limits set up or are we hitting something?", "start_time": 730.88, "end_time": 736.24, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 143, "text": "It may be one of, I don't know if they do the stupid thing with like OpenAI where like the only way to get your weight limit up is to like hit your rate limit.", "raw_text": "It may be one of, I don't know if they do the stupid thing with like OpenAI where like the only way to get your weight limit up is to like hit your rate limit.", "start_time": 738.86, "end_time": 746.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 144, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 747.42, "end_time": 747.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "Look at that.", "raw_text": "Look at that.", "start_time": 762.23, "end_time": 762.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 146, "text": "Okay.", "raw_text": "Okay.", "start_time": 763.27, "end_time": 763.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 147, "text": "I think that's all I got on the pure foundation side since our last call.", "raw_text": "I think that's all I got on the pure foundation side since our last call.", "start_time": 773.59, "end_time": 778.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 148, "text": "I, I want to talk about staging, but I can wait or go next.", "raw_text": "I, I want to talk about staging, but I can wait or go next.", "start_time": 780.23, "end_time": 783.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 149, "text": "I don't know if Murph's got any.", "raw_text": "I don't know if Murph's got any.", "start_time": 783.91, "end_time": 785.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "A lot of what Justin I think already already covered.", "raw_text": "A lot of what Justin I think already already covered.", "start_time": 790.72, "end_time": 794.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 151, "text": "I'm going to do a follow up PR to for the workflow builder agent stuff to clean up some of how the credential and stuff's handling.", "raw_text": "I'm going to do a follow up PR to for the workflow builder agent stuff to clean up some of how the credential and stuff's handling.", "start_time": 794.24, "end_time": 804.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 152, "text": "And then I, I just got a list of stuff I think that we'll talk about.", "raw_text": "And then I, I just got a list of stuff I think that we'll talk about.", "start_time": 806.64, "end_time": 810.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 153, "text": "Want to add a new workflow trigger type that uses the user session because we'll need that for safeguard and I think that's a valid use case.", "raw_text": "Want to add a new workflow trigger type that uses the user session because we'll need that for safeguard and I think that's a valid use case.", "start_time": 812.24, "end_time": 820.21, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 154, "text": "That'll just be a new API.", "raw_text": "That'll just be a new API.", "start_time": 820.53, "end_time": 822.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 155, "text": "We talked about like normalizing some of the structured output for the various nodes that we use it for the different AI gateway nodes.", "raw_text": "We talked about like normalizing some of the structured output for the various nodes that we use it for the different AI gateway nodes.", "start_time": 826.69, "end_time": 833.33, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 156, "text": "And then I'm going to be looking at some like admin console cleanup and then potentially.", "raw_text": "And then I'm going to be looking at some like admin console cleanup and then potentially.", "start_time": 836.29, "end_time": 841.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 157, "text": "Well, Justin did already migrate the cube over to its own tool, but taking some of those implicit tools and making them explicit like the other tools we have and running the credentials through that way as opposed to kind of a one off stuff we're doing.", "raw_text": "Well, Justin did already migrate the cube over to its own tool, but taking some of those implicit tools and making them explicit like the other tools we have and running the credentials through that way as opposed to kind of a one off stuff we're doing.", "start_time": 841.81, "end_time": 860.21, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 158, "text": "Yeah, it sounds good.", "raw_text": "Yeah, it sounds good.", "start_time": 863.81, "end_time": 864.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 159, "text": "Then whatever else we come up with, environment stuff going, then Kaden, it's going.", "raw_text": "Then whatever else we come up with, environment stuff going, then Kaden, it's going.", "start_time": 868.29, "end_time": 878.3, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 160, "text": "I so what I found out.", "raw_text": "I so what I found out.", "start_time": 878.38, "end_time": 879.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 161, "text": "So first of all I looked a little bit more into the branching in Supabase and I don't know like so so far what I did, I didn't make any new projects.", "raw_text": "So first of all I looked a little bit more into the branching in Supabase and I don't know like so so far what I did, I didn't make any new projects.", "start_time": 879.98, "end_time": 889.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 162, "text": "I set up two new branches in Supabase, one for staging, one for demo and they track the staging and demo branch and database wise that should be good for a while.", "raw_text": "I set up two new branches in Supabase, one for staging, one for demo and they track the staging and demo branch and database wise that should be good for a while.", "start_time": 889.34, "end_time": 901.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 163, "text": "I was kind of going back and forth with Claude if like I think that there could be a period of time where demo spins out to just be its own database if we start doing a lot of stuff there, but there's no need for it now, so that's easy to change later so that, that's where that sits.", "raw_text": "I was kind of going back and forth with Claude if like I think that there could be a period of time where demo spins out to just be its own database if we start doing a lot of stuff there, but there's no need for it now, so that's easy to change later so that, that's where that sits.", "start_time": 901.86, "end_time": 917.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 164, "text": "But then in vercel we get one custom environment per project on the Pro plan.", "raw_text": "But then in vercel we get one custom environment per project on the Pro plan.", "start_time": 917.9, "end_time": 924.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 165, "text": "So I started setting up staging and then realized, well, if we're gonna have one environment, demo makes way more sense to be separate.", "raw_text": "So I started setting up staging and then realized, well, if we're gonna have one environment, demo makes way more sense to be separate.", "start_time": 925.18, "end_time": 930.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 166, "text": "So I set up the demo environment and then since it's the same supase data Supabase database with a different branch, I needed to go find that password, which I think Boone sent it to you a while ago in that chat.", "raw_text": "So I set up the demo environment and then since it's the same supase data Supabase database with a different branch, I needed to go find that password, which I think Boone sent it to you a while ago in that chat.", "start_time": 931.02, "end_time": 944.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 167, "text": "Merv, I was literally just about.", "raw_text": "Merv, I was literally just about.", "start_time": 944.22, "end_time": 945.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 168, "text": "I searched it, I didn't find it.", "raw_text": "I searched it, I didn't find it.", "start_time": 945.34, "end_time": 946.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 169, "text": "I needed to scroll.", "raw_text": "I needed to scroll.", "start_time": 946.54, "end_time": 947.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 170, "text": "So I just need to put that in and then the demo environment would be set up.", "raw_text": "So I just need to put that in and then the demo environment would be set up.", "start_time": 947.3, "end_time": 950.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 171, "text": "You mean pass.", "raw_text": "You mean pass.", "start_time": 950.54, "end_time": 951.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 172, "text": "Is that for the Supabase or for.", "raw_text": "Is that for the Supabase or for.", "start_time": 953.11, "end_time": 955.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 173, "text": "For Supabase.", "raw_text": "For Supabase.", "start_time": 956.31, "end_time": 957.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 174, "text": "I need the Supabase password.", "raw_text": "I need the Supabase password.", "start_time": 957.23, "end_time": 958.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 175, "text": "Okay.", "raw_text": "Okay.", "start_time": 959.35, "end_time": 959.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 176, "text": "Otherwise.", "raw_text": "Otherwise.", "start_time": 960.15, "end_time": 960.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "Oh, that'd be good here.", "raw_text": "Oh, that'd be good here.", "start_time": 961.75, "end_time": 963.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 178, "text": "Otherwise I'll just reset it.", "raw_text": "Otherwise I'll just reset it.", "start_time": 963.35, "end_time": 964.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 179, "text": "Don't set it, please.", "raw_text": "Don't set it, please.", "start_time": 969.11, "end_time": 970.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 180, "text": "Yeah, it won't.", "raw_text": "Yeah, it won't.", "start_time": 971.43, "end_time": 972.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 181, "text": "Don't do that.", "raw_text": "Don't do that.", "start_time": 973.43, "end_time": 974.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 182, "text": "That would be annoying.", "raw_text": "That would be annoying.", "start_time": 975.43, "end_time": 976.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 183, "text": "So suabase password will update, demo environment will be there and then I gonna look into using.", "raw_text": "So suabase password will update, demo environment will be there and then I gonna look into using.", "start_time": 979.2, "end_time": 987.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 184, "text": "Wait, what is this called?", "raw_text": "Wait, what is this called?", "start_time": 988.48, "end_time": 989.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 185, "text": "Remotion.", "raw_text": "Remotion.", "start_time": 993.36, "end_time": 994.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 186, "text": "I'm gonna try to set up like a remotion script with Reed to have them like record some demos and then look into like ways to putting in those demo use cases once we get that environment set up.", "raw_text": "I'm gonna try to set up like a remotion script with Reed to have them like record some demos and then look into like ways to putting in those demo use cases once we get that environment set up.", "start_time": 994.56, "end_time": 1003.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 187, "text": "But I don't know when when I'll get to that yet.", "raw_text": "But I don't know when when I'll get to that yet.", "start_time": 1003.76, "end_time": 1006.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 188, "text": "But the environment's basically there once I get the password in.", "raw_text": "But the environment's basically there once I get the password in.", "start_time": 1006.82, "end_time": 1009.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 189, "text": "I already set up like the auth for it and then I was looking in Brain Trust.", "raw_text": "I already set up like the auth for it and then I was looking in Brain Trust.", "start_time": 1009.74, "end_time": 1014.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 190, "text": "I don't think I need another Brain Trust project.", "raw_text": "I don't think I need another Brain Trust project.", "start_time": 1015.06, "end_time": 1017.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 191, "text": "I could just put a prompt label on it for demo.", "raw_text": "I could just put a prompt label on it for demo.", "start_time": 1017.38, "end_time": 1019.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 192, "text": "So I was going to try to just put in the label and see how that works.", "raw_text": "So I was going to try to just put in the label and see how that works.", "start_time": 1020.02, "end_time": 1023.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 193, "text": "Unless we think we should have a separate Brain Trust project.", "raw_text": "Unless we think we should have a separate Brain Trust project.", "start_time": 1023.18, "end_time": 1026.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 194, "text": "And then the only other thing would be back to staging of.", "raw_text": "And then the only other thing would be back to staging of.", "start_time": 1027.06, "end_time": 1031.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 195, "text": "Do we even need staging?", "raw_text": "Do we even need staging?", "start_time": 1031.79, "end_time": 1033.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 196, "text": "Murph kind of brought up the point the other day of he's just going to push to main and not use staging and I'm not going to set up a custom environment for it.", "raw_text": "Murph kind of brought up the point the other day of he's just going to push to main and not use staging and I'm not going to set up a custom environment for it.", "start_time": 1033.87, "end_time": 1041.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 197, "text": "There's the Supabase branch that we could hit if we want to test stuff.", "raw_text": "There's the Supabase branch that we could hit if we want to test stuff.", "start_time": 1041.47, "end_time": 1044.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 198, "text": "But basically what we would be doing is setting up a.", "raw_text": "But basically what we would be doing is setting up a.", "start_time": 1045.07, "end_time": 1049.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 199, "text": "We could set up in Vercel like the preview and we could tag it there if we want anything between dev and main.", "raw_text": "We could set up in Vercel like the preview and we could tag it there if we want anything between dev and main.", "start_time": 1050.67, "end_time": 1058.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 200, "text": "And it kind of already does that as like a preview deployment with our feature branches.", "raw_text": "And it kind of already does that as like a preview deployment with our feature branches.", "start_time": 1059.22, "end_time": 1063.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 201, "text": "That kind of acts like a staging.", "raw_text": "That kind of acts like a staging.", "start_time": 1063.14, "end_time": 1064.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 202, "text": "So if we want staging and we all want to centralize to staging, we can, but it's not.", "raw_text": "So if we want staging and we all want to centralize to staging, we can, but it's not.", "start_time": 1064.98, "end_time": 1070.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 203, "text": "I don't think it's worth having like the custom environment for.", "raw_text": "I don't think it's worth having like the custom environment for.", "start_time": 1070.78, "end_time": 1073.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 204, "text": "So I don't.", "raw_text": "So I don't.", "start_time": 1073.3, "end_time": 1073.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 205, "text": "I was just going to kind of leave staging and just run with the dev environment.", "raw_text": "I was just going to kind of leave staging and just run with the dev environment.", "start_time": 1073.78, "end_time": 1076.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 206, "text": "I don't know, or the demo environment, but I don't know if staging would help anyone.", "raw_text": "I don't know, or the demo environment, but I don't know if staging would help anyone.", "start_time": 1076.66, "end_time": 1080.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 207, "text": "What about staging for the data platform?", "raw_text": "What about staging for the data platform?", "start_time": 1082.66, "end_time": 1084.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 208, "text": "So that is.", "raw_text": "So that is.", "start_time": 1086.1, "end_time": 1087.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 209, "text": "The staging for the data platform would make a lot more sense, but then is the data platform.", "raw_text": "The staging for the data platform would make a lot more sense, but then is the data platform.", "start_time": 1087.06, "end_time": 1092.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 210, "text": "I thought we were trying to make it like a mono repo.", "raw_text": "I thought we were trying to make it like a mono repo.", "start_time": 1093.22, "end_time": 1095.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 211, "text": "So I, we, we had talked about the staging.", "raw_text": "So I, we, we had talked about the staging.", "start_time": 1096.18, "end_time": 1098.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 212, "text": "I could go set up a staging VM for the data platform, but I paused there because we were going to go mono repo.", "raw_text": "I could go set up a staging VM for the data platform, but I paused there because we were going to go mono repo.", "start_time": 1098.26, "end_time": 1103.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 213, "text": "So I just been moving forward with foundation.", "raw_text": "So I just been moving forward with foundation.", "start_time": 1103.18, "end_time": 1104.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 214, "text": "So I guess what are.", "raw_text": "So I guess what are.", "start_time": 1105.06, "end_time": 1106.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 215, "text": "That's kind of.", "raw_text": "That's kind of.", "start_time": 1107.06, "end_time": 1107.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 216, "text": "It's a separate beast.", "raw_text": "It's a separate beast.", "start_time": 1107.82, "end_time": 1108.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 217, "text": "Well, even if it's deployed separately anyway, so I don't think it.", "raw_text": "Well, even if it's deployed separately anyway, so I don't think it.", "start_time": 1120.11, "end_time": 1122.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 218, "text": "That matters.", "raw_text": "That matters.", "start_time": 1122.59, "end_time": 1123.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 219, "text": "Yeah, I think that if it's deployed separately, any instance that we have on the foundation app side, since they're separate, you just, if you want to switch between prod and stage and you just switch like your semantic link or the, the URL.", "raw_text": "Yeah, I think that if it's deployed separately, any instance that we have on the foundation app side, since they're separate, you just, if you want to switch between prod and stage and you just switch like your semantic link or the, the URL.", "start_time": 1124.19, "end_time": 1138.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 220, "text": "So then I guess to set up.", "raw_text": "So then I guess to set up.", "start_time": 1138.37, "end_time": 1141.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 221, "text": "How would you go about setting up the staging for the data platform?", "raw_text": "How would you go about setting up the staging for the data platform?", "start_time": 1141.09, "end_time": 1144.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 222, "text": "Like I would just go set it up on a different VM, right?", "raw_text": "Like I would just go set it up on a different VM, right?", "start_time": 1144.69, "end_time": 1147.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 223, "text": "Like just set up an Azure VM there.", "raw_text": "Like just set up an Azure VM there.", "start_time": 1147.29, "end_time": 1148.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 224, "text": "Yeah, I don't.", "raw_text": "Yeah, I don't.", "start_time": 1152.29, "end_time": 1153.33, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 225, "text": "I think there's two VMs.", "raw_text": "I think there's two VMs.", "start_time": 1153.57, "end_time": 1154.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 226, "text": "There's like a compute VM and something else VM.", "raw_text": "There's like a compute VM and something else VM.", "start_time": 1154.81, "end_time": 1157.73, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 227, "text": "Yeah, there's two.", "raw_text": "Yeah, there's two.", "start_time": 1158.45, "end_time": 1159.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 228, "text": "And then David and I, I was going to set up staging on that and then I just.", "raw_text": "And then David and I, I was going to set up staging on that and then I just.", "start_time": 1159.37, "end_time": 1163.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 229, "text": "Yeah, I would probably like go into Azure and just duplicate both of those.", "raw_text": "Yeah, I would probably like go into Azure and just duplicate both of those.", "start_time": 1164.41, "end_time": 1169.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 230, "text": "I think there's like.", "raw_text": "I think there's like.", "start_time": 1170.57, "end_time": 1171.49, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 231, "text": "Or you might have to save it and restore it or something.", "raw_text": "Or you might have to save it and restore it or something.", "start_time": 1171.49, "end_time": 1174.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 232, "text": "But you should be able to copy those VMs and just rename them.", "raw_text": "But you should be able to copy those VMs and just rename them.", "start_time": 1174.05, "end_time": 1178.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 233, "text": "All right, Yeah, I can do that.", "raw_text": "All right, Yeah, I can do that.", "start_time": 1179.85, "end_time": 1181.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 234, "text": "We want to do it that way because.", "raw_text": "We want to do it that way because.", "start_time": 1181.29, "end_time": 1182.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 235, "text": "Yeah, David.", "raw_text": "Yeah, David.", "start_time": 1182.61, "end_time": 1183.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "David had told me to just use the original VM and put both of them on there for staging.", "raw_text": "David had told me to just use the original VM and put both of them on there for staging.", "start_time": 1183.17, "end_time": 1188.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 237, "text": "But it'll probably be easier to just keep it the same.", "raw_text": "But it'll probably be easier to just keep it the same.", "start_time": 1188.21, "end_time": 1190.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 238, "text": "So I'll just spin up two new ones for staging and we'll just leave them there because yeah, I was kind of pausing on that if we were going to put them into a monorepo, but it needs to be hosted anyway, so I can, I can just do that.", "raw_text": "So I'll just spin up two new ones for staging and we'll just leave them there because yeah, I was kind of pausing on that if we were going to put them into a monorepo, but it needs to be hosted anyway, so I can, I can just do that.", "start_time": 1190.68, "end_time": 1201.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 239, "text": "Yeah, the mono repo would just change the cicd, like how we actually deploy it.", "raw_text": "Yeah, the mono repo would just change the cicd, like how we actually deploy it.", "start_time": 1204.48, "end_time": 1208.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 240, "text": "But yeah, I think the quickest way would be to duplicate or like backup and restore the two VMs that are in prod, that are running prod and then we would just have to like basically copy the deploy scripts that are running for prod to key off of like a different branch and then just swap out the endpoints that they're going to.", "raw_text": "But yeah, I think the quickest way would be to duplicate or like backup and restore the two VMs that are in prod, that are running prod and then we would just have to like basically copy the deploy scripts that are running for prod to key off of like a different branch and then just swap out the endpoints that they're going to.", "start_time": 1208.56, "end_time": 1239.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 241, "text": "Yeah, and then is that with those two new copies?", "raw_text": "Yeah, and then is that with those two new copies?", "start_time": 1240.42, "end_time": 1243.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 242, "text": "Because then now we just like, we're literally just duplicating what is already working then.", "raw_text": "Because then now we just like, we're literally just duplicating what is already working then.", "start_time": 1243.18, "end_time": 1249.06, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 243, "text": "And then the data platform, it's controlling the CI CD through Vercel.", "raw_text": "And then the data platform, it's controlling the CI CD through Vercel.", "start_time": 1249.06, "end_time": 1252.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 244, "text": "Right.", "raw_text": "Right.", "start_time": 1252.98, "end_time": 1253.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 245, "text": "Because I'm pretty sure I tried to change something with that.", "raw_text": "Because I'm pretty sure I tried to change something with that.", "start_time": 1253.18, "end_time": 1254.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 246, "text": "It was through Boontech, so I might have to check with Boone on that because I think I ran into access issues.", "raw_text": "It was through Boontech, so I might have to check with Boone on that because I think I ran into access issues.", "start_time": 1254.94, "end_time": 1260.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 247, "text": "No, I think it's keying off of git.", "raw_text": "No, I think it's keying off of git.", "start_time": 1261.46, "end_time": 1263.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 248, "text": "Okay, I'll just.", "raw_text": "Okay, I'll just.", "start_time": 1264.9, "end_time": 1266.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 249, "text": "I didn't try to ship it, so I'll just.", "raw_text": "I didn't try to ship it, so I'll just.", "start_time": 1266.06, "end_time": 1267.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "Maybe there's some dependency with Vercel there.", "raw_text": "Maybe there's some dependency with Vercel there.", "start_time": 1267.94, "end_time": 1270.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 251, "text": "Yeah, yeah, I kind of paused.", "raw_text": "Yeah, yeah, I kind of paused.", "start_time": 1271.59, "end_time": 1273.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 252, "text": "Let me know if you have access you might need.", "raw_text": "Let me know if you have access you might need.", "start_time": 1273.35, "end_time": 1276.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 253, "text": "Because I didn't have access even to any of the foundation internal subscription stuff at Azure.", "raw_text": "Because I didn't have access even to any of the foundation internal subscription stuff at Azure.", "start_time": 1276.39, "end_time": 1281.11, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 254, "text": "So we might need Murph or Steve to add you as well.", "raw_text": "So we might need Murph or Steve to add you as well.", "start_time": 1281.11, "end_time": 1284.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 255, "text": "I do.", "raw_text": "I do.", "start_time": 1284.63, "end_time": 1285.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "I don't have access because I couldn't get into the Azure ad to add like the redirect login.", "raw_text": "I don't have access because I couldn't get into the Azure ad to add like the redirect login.", "start_time": 1285.11, "end_time": 1289.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 257, "text": "My limit until 2pm.", "raw_text": "My limit until 2pm.", "start_time": 1295.59, "end_time": 1297.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 258, "text": "What limit?", "raw_text": "What limit?", "start_time": 1300.55, "end_time": 1300.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 259, "text": "You hit quad?", "raw_text": "You hit quad?", "start_time": 1300.95, "end_time": 1301.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 260, "text": "Yeah, I'm have to switch over to Codex or something.", "raw_text": "Yeah, I'm have to switch over to Codex or something.", "start_time": 1304.15, "end_time": 1307.11, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 261, "text": "All right, let me try to find that password for you.", "raw_text": "All right, let me try to find that password for you.", "start_time": 1323.68, "end_time": 1325.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 262, "text": "I think this is it.", "raw_text": "I think this is it.", "start_time": 1337.2, "end_time": 1338.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 263, "text": "You try that or you have it handy to try it now.", "raw_text": "You try that or you have it handy to try it now.", "start_time": 1342.4, "end_time": 1345.76, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 264, "text": "I can get it there.", "raw_text": "I can get it there.", "start_time": 1346.72, "end_time": 1347.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 265, "text": "I think the user is just postgres.", "raw_text": "I think the user is just postgres.", "start_time": 1348.89, "end_time": 1352.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 266, "text": "Reed said Paul gave him a Mac Mini and said he needs to set up open quads.", "raw_text": "Reed said Paul gave him a Mac Mini and said he needs to set up open quads.", "start_time": 1398.34, "end_time": 1401.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 267, "text": "I was talking to Paul about that at lunch.", "raw_text": "I was talking to Paul about that at lunch.", "start_time": 1405.5, "end_time": 1408.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 268, "text": "Yeah, Reed texted me and he's like, Paul just told me about a project he brought MacBook and he told me do something like Christopher.", "raw_text": "Yeah, Reed texted me and he's like, Paul just told me about a project he brought MacBook and he told me do something like Christopher.", "start_time": 1408.86, "end_time": 1415.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 269, "text": "And I'm like, yeah, it's called open call.", "raw_text": "And I'm like, yeah, it's called open call.", "start_time": 1415.5, "end_time": 1417.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 270, "text": "Install it.", "raw_text": "Install it.", "start_time": 1417.06, "end_time": 1417.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 271, "text": "He's like, okay,.", "raw_text": "He's like, okay,.", "start_time": 1417.82, "end_time": 1418.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 272, "text": "Yeah, I mean I am starting to come around.", "raw_text": "Yeah, I mean I am starting to come around.", "start_time": 1421.02, "end_time": 1423.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 273, "text": "I know we talked about like the individual like super operator, like using Opica.", "raw_text": "I know we talked about like the individual like super operator, like using Opica.", "start_time": 1423.1, "end_time": 1427.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 274, "text": "I do think, man, like there is the market of like do it once for an organization.", "raw_text": "I do think, man, like there is the market of like do it once for an organization.", "start_time": 1428.55, "end_time": 1435.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 275, "text": "Just be able to like duplicate it easy.", "raw_text": "Just be able to like duplicate it easy.", "start_time": 1436.15, "end_time": 1438.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 276, "text": "Wonder if I should just send them the.", "raw_text": "Wonder if I should just send them the.", "start_time": 1443.67, "end_time": 1444.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "Figure that out.", "raw_text": "Figure that out.", "start_time": 1445.27, "end_time": 1446.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 278, "text": "Yeah, yeah, like get it to where like you're not even running on your computer anymore.", "raw_text": "Yeah, yeah, like get it to where like you're not even running on your computer anymore.", "start_time": 1446.39, "end_time": 1454.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 279, "text": "Is this on the cloud?", "raw_text": "Is this on the cloud?", "start_time": 1454.55, "end_time": 1455.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 280, "text": "You basically have a server that everyone goes to and then you would need to like sync your files up to that server.", "raw_text": "You basically have a server that everyone goes to and then you would need to like sync your files up to that server.", "start_time": 1459.51, "end_time": 1469.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 281, "text": "It's like kind of like SharePoint.", "raw_text": "It's like kind of like SharePoint.", "start_time": 1474.07, "end_time": 1475.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 282, "text": "If everyone.", "raw_text": "If everyone.", "start_time": 1479.59, "end_time": 1480.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 283, "text": "I mean they're.", "raw_text": "I mean they're.", "start_time": 1480.39, "end_time": 1481.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 284, "text": "They're like right here.", "raw_text": "They're like right here.", "start_time": 1481.19, "end_time": 1482.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 285, "text": "Yeah, if everyone had like a shared server and you could sync your local files to it, like seamlessly.", "raw_text": "Yeah, if everyone had like a shared server and you could sync your local files to it, like seamlessly.", "start_time": 1482.97, "end_time": 1490.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 286, "text": "And then like all the projects and skills and stuff are all just there.", "raw_text": "And then like all the projects and skills and stuff are all just there.", "start_time": 1491.29, "end_time": 1496.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 287, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1496.57, "end_time": 1499.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 288, "text": "Like the last piece is just the files.", "raw_text": "Like the last piece is just the files.", "start_time": 1499.09, "end_time": 1500.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 289, "text": "And then you need it some way like Kaden and I were talking about, you need some way to, like, you do it.", "raw_text": "And then you need it some way like Kaden and I were talking about, you need some way to, like, you do it.", "start_time": 1502.89, "end_time": 1508.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 290, "text": "You're.", "raw_text": "You're.", "start_time": 1508.37, "end_time": 1508.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "You can like kind of branch off and do your version and do your stuff without impacting like the whole.", "raw_text": "You can like kind of branch off and do your version and do your stuff without impacting like the whole.", "start_time": 1509.29, "end_time": 1515.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 292, "text": "But then there is like an enterprise version.", "raw_text": "But then there is like an enterprise version.", "start_time": 1516.17, "end_time": 1518.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 293, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 1535.22, "end_time": 1535.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 294, "text": "It's hard.", "raw_text": "It's hard.", "start_time": 1535.58, "end_time": 1536.02, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 295, "text": "It's a really hard problem.", "raw_text": "It's a really hard problem.", "start_time": 1536.18, "end_time": 1537.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 296, "text": "I just think the technology is so suited for like an individual hacker right now.", "raw_text": "I just think the technology is so suited for like an individual hacker right now.", "start_time": 1539.62, "end_time": 1547.54, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 297, "text": "Yeah, it's just way different than traditional enterprise software.", "raw_text": "Yeah, it's just way different than traditional enterprise software.", "start_time": 1549.46, "end_time": 1554.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 298, "text": "And then like, I don't even know an easy way to make it work for an enterprise and all like the, the chats and with those are kind of inherently like personal too, in a way.", "raw_text": "And then like, I don't even know an easy way to make it work for an enterprise and all like the, the chats and with those are kind of inherently like personal too, in a way.", "start_time": 1554.86, "end_time": 1564.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 299, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1564.91, "end_time": 1565.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 300, "text": "But then I do get what Halsey was saying is like, yeah, that's great.", "raw_text": "But then I do get what Halsey was saying is like, yeah, that's great.", "start_time": 1569.79, "end_time": 1574.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 301, "text": "But if this like super, super accountant guy has always sweet workflows, just leaves, then like, we're screwed.", "raw_text": "But if this like super, super accountant guy has always sweet workflows, just leaves, then like, we're screwed.", "start_time": 1577.39, "end_time": 1584.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 302, "text": "Yeah, that's like, very true.", "raw_text": "Yeah, that's like, very true.", "start_time": 1585.96, "end_time": 1588.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 303, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1596.2, "end_time": 1596.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 304, "text": "I mean, it's kind of the same problem that exists today, just to like a higher degree.", "raw_text": "I mean, it's kind of the same problem that exists today, just to like a higher degree.", "start_time": 1596.52, "end_time": 1600.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 305, "text": "Yeah, they're just more leveraged.", "raw_text": "Yeah, they're just more leveraged.", "start_time": 1600.44, "end_time": 1601.879, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 306, "text": "Sure.", "raw_text": "Sure.", "start_time": 1603.32, "end_time": 1603.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 307, "text": "I find anything specifically about the AI gateway rate limiting?", "raw_text": "I find anything specifically about the AI gateway rate limiting?", "start_time": 1608.52, "end_time": 1613.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 308, "text": "It looks like it's tied to your virtual plan tier.", "raw_text": "It looks like it's tied to your virtual plan tier.", "start_time": 1613.64, "end_time": 1616.36, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 309, "text": "Okay.", "raw_text": "Okay.", "start_time": 1617.19, "end_time": 1617.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 310, "text": "Do you have any luck on that?", "raw_text": "Do you have any luck on that?", "start_time": 1623.51, "end_time": 1624.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 311, "text": "I'm switching all the environment variables right now.", "raw_text": "I'm switching all the environment variables right now.", "start_time": 1625.75, "end_time": 1627.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "Just see if it works.", "raw_text": "Just see if it works.", "start_time": 1627.99, "end_time": 1629.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 313, "text": "Wait, I don't know.", "raw_text": "Wait, I don't know.", "start_time": 1636.95, "end_time": 1637.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "I don't know what the quickest way to verify it is.", "raw_text": "I don't know what the quickest way to verify it is.", "start_time": 1637.83, "end_time": 1639.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "I was just going to plug in all the environment variables and see if it works.", "raw_text": "I was just going to plug in all the environment variables and see if it works.", "start_time": 1639.39, "end_time": 1641.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 316, "text": "I didn't finish that earlier.", "raw_text": "I didn't finish that earlier.", "start_time": 1642.17, "end_time": 1643.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 317, "text": "Supabase URL.", "raw_text": "Supabase URL.", "start_time": 1643.85, "end_time": 1645.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 318, "text": "Do you have the URL and everything for Supabase?", "raw_text": "Do you have the URL and everything for Supabase?", "start_time": 1646.33, "end_time": 1648.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 319, "text": "Yeah, I have that all pulled up.", "raw_text": "Yeah, I have that all pulled up.", "start_time": 1649.21, "end_time": 1650.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 320, "text": "I have a markdown file just called Prod Access MD that's probably not Sock two compliant.", "raw_text": "I have a markdown file just called Prod Access MD that's probably not Sock two compliant.", "start_time": 1657.37, "end_time": 1662.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 321, "text": "That's what it's called, Prod Access md.", "raw_text": "That's what it's called, Prod Access md.", "start_time": 1663.05, "end_time": 1666.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 322, "text": "Yeah, I have.", "raw_text": "Yeah, I have.", "start_time": 1668.02, "end_time": 1668.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 323, "text": "I have all the Prod ones, but I'm trying to switch it to the demo one, so I gotta like switch all those.", "raw_text": "I have all the Prod ones, but I'm trying to switch it to the demo one, so I gotta like switch all those.", "start_time": 1668.54, "end_time": 1673.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "We're working flying.", "raw_text": "We're working flying.", "start_time": 1673.3, "end_time": 1674.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 325, "text": "We're Dell compliant.", "raw_text": "We're Dell compliant.", "start_time": 1674.58, "end_time": 1675.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 326, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1676.1, "end_time": 1676.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 327, "text": "Do you see that light LLM thing?", "raw_text": "Do you see that light LLM thing?", "start_time": 1676.98, "end_time": 1680.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 328, "text": "That's legit.", "raw_text": "That's legit.", "start_time": 1681.62, "end_time": 1682.9, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 329, "text": "Yeah, that's.", "raw_text": "Yeah, that's.", "start_time": 1683.06, "end_time": 1683.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 330, "text": "Yeah, it's really bad.", "raw_text": "Yeah, it's really bad.", "start_time": 1683.7, "end_time": 1684.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 331, "text": "It's.", "raw_text": "It's.", "start_time": 1685.3, "end_time": 1685.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "It steals everything you have if you run it at all.", "raw_text": "It steals everything you have if you run it at all.", "start_time": 1685.7, "end_time": 1688.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 333, "text": "Like every API key on your entire system.", "raw_text": "Like every API key on your entire system.", "start_time": 1688.74, "end_time": 1691.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "Yeah, I bet you the AI hub is shitting themselves right now.", "raw_text": "Yeah, I bet you the AI hub is shitting themselves right now.", "start_time": 1694.27, "end_time": 1698.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 335, "text": "You should ask Alex.", "raw_text": "You should ask Alex.", "start_time": 1699.31, "end_time": 1700.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 336, "text": "You should send him that article.", "raw_text": "You should send him that article.", "start_time": 1700.75, "end_time": 1701.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 337, "text": "Obviously he's Seen it and just be like, alex.", "raw_text": "Obviously he's Seen it and just be like, alex.", "start_time": 1702.11, "end_time": 1704.43, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 338, "text": "Hey Al, did you see this?", "raw_text": "Hey Al, did you see this?", "start_time": 1704.67, "end_time": 1706.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 339, "text": "Yeah, just send it to Neil.", "raw_text": "Yeah, just send it to Neil.", "start_time": 1709.069, "end_time": 1710.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "Be like, are you guys sure about this road map?", "raw_text": "Be like, are you guys sure about this road map?", "start_time": 1710.35, "end_time": 1712.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 341, "text": "You're sure about the slide?", "raw_text": "You're sure about the slide?", "start_time": 1714.83, "end_time": 1716.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 342, "text": "LLM you sure about that?", "raw_text": "LLM you sure about that?", "start_time": 1716.23, "end_time": 1719.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 343, "text": "That would buy us good faith for sure.", "raw_text": "That would buy us good faith for sure.", "start_time": 1721.64, "end_time": 1723.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "Or you could.", "raw_text": "Or you could.", "start_time": 1727.32, "end_time": 1727.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 345, "text": "Or you could just feed it to your buddy.", "raw_text": "Or you could just feed it to your buddy.", "start_time": 1727.96, "end_time": 1730.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 346, "text": "Yeah, I'll give it to Ray.", "raw_text": "Yeah, I'll give it to Ray.", "start_time": 1731.24, "end_time": 1732.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 347, "text": "I don't.", "raw_text": "I don't.", "start_time": 1732.24, "end_time": 1732.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 348, "text": "What's Ray gonna do with it?", "raw_text": "What's Ray gonna do with it?", "start_time": 1732.64, "end_time": 1733.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 349, "text": "He'll probably just dig himself on a.", "raw_text": "He'll probably just dig himself on a.", "start_time": 1733.56, "end_time": 1734.919, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 350, "text": "Deeper hole and say, hey Ray, FYI, AI hubs entire value proposition is based on this light.", "raw_text": "Deeper hole and say, hey Ray, FYI, AI hubs entire value proposition is based on this light.", "start_time": 1734.919, "end_time": 1741.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 351, "text": "LLM.", "raw_text": "LLM.", "start_time": 1741.56, "end_time": 1742.2, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 352, "text": "Enjoy.", "raw_text": "Enjoy.", "start_time": 1743.16, "end_time": 1743.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 353, "text": "I'm gonna kick off our Tuesday meeting with that.", "raw_text": "I'm gonna kick off our Tuesday meeting with that.", "start_time": 1744.53, "end_time": 1746.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 354, "text": "That's exactly what I'll say.", "raw_text": "That's exactly what I'll say.", "start_time": 1746.49, "end_time": 1747.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "Right?", "raw_text": "Right?", "start_time": 1748.53, "end_time": 1748.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 356, "text": "Well, he'll just be like a, a bull in a china shop with that information.", "raw_text": "Well, he'll just be like a, a bull in a china shop with that information.", "start_time": 1749.49, "end_time": 1754.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 357, "text": "He'll some up.", "raw_text": "He'll some up.", "start_time": 1754.77, "end_time": 1756.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 358, "text": "Oh, that'll be good.", "raw_text": "Oh, that'll be good.", "start_time": 1757.57, "end_time": 1758.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 359, "text": "I mean for them, all you have to do is change your keys.", "raw_text": "I mean for them, all you have to do is change your keys.", "start_time": 1769.41, "end_time": 1773.76, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 360, "text": "Really?", "raw_text": "Really?", "start_time": 1773.76, "end_time": 1774.04, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 361, "text": "If it did get up,.", "raw_text": "If it did get up,.", "start_time": 1774.2, "end_time": 1775.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 362, "text": "There's so many environment variables here.", "raw_text": "There's so many environment variables here.", "start_time": 1783.16, "end_time": 1785.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "Ah, here we go.", "raw_text": "Ah, here we go.", "start_time": 1797.49, "end_time": 1798.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "This I needed postgres.", "raw_text": "This I needed postgres.", "start_time": 1798.09, "end_time": 1799.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 365, "text": "Would our.", "raw_text": "Would our.", "start_time": 1847.99, "end_time": 1848.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 366, "text": "Would our.net projects run in that Vercel sandbox?", "raw_text": "Would our.net projects run in that Vercel sandbox?", "start_time": 1849.27, "end_time": 1854.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 367, "text": "Okay.", "raw_text": "Okay.", "start_time": 1854.07, "end_time": 1854.63, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 368, "text": "Yeah, I think so.", "raw_text": "Yeah, I think so.", "start_time": 1857.11, "end_time": 1858.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 369, "text": "It would just do like that Kestrel or whatever.", "raw_text": "It would just do like that Kestrel or whatever.", "start_time": 1858.07, "end_time": 1860.79, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 370, "text": "Yeah, you can run it over here.", "raw_text": "Yeah, you can run it over here.", "start_time": 1861.35, "end_time": 1862.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 371, "text": "Any of the, any of the core.", "raw_text": "Any of the, any of the core.", "start_time": 1863.75, "end_time": 1865.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 372, "text": "Core.", "raw_text": "Core.", "start_time": 1865.51, "end_time": 1865.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 373, "text": "Yeah, the core stuff.", "raw_text": "Yeah, the core stuff.", "start_time": 1865.95, "end_time": 1867.11, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 374, "text": "I wonder how long it takes.", "raw_text": "I wonder how long it takes.", "start_time": 1869.59, "end_time": 1871.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 375, "text": "I guess you could snapshot it.", "raw_text": "I guess you could snapshot it.", "start_time": 1871.51, "end_time": 1872.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 376, "text": "You could say it's get this repo and run it and then it'll eventually get there and then we just snapshot it.", "raw_text": "You could say it's get this repo and run it and then it'll eventually get there and then we just snapshot it.", "start_time": 1872.75, "end_time": 1878.42, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 377, "text": "And then for your agent, Harness Purser just released self hosted cloud agents.", "raw_text": "And then for your agent, Harness Purser just released self hosted cloud agents.", "start_time": 1879.22, "end_time": 1887.46, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 378, "text": "Not self, self hosted agents.", "raw_text": "Not self, self hosted agents.", "start_time": 1888.1, "end_time": 1890.02, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 379, "text": "It's like, you know, they have the cloud agents right now where you can like set up the environment.", "raw_text": "It's like, you know, they have the cloud agents right now where you can like set up the environment.", "start_time": 1890.26, "end_time": 1893.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 380, "text": "Kind of do that now you can sell, post them and it's like the same, the same concept.", "raw_text": "Kind of do that now you can sell, post them and it's like the same, the same concept.", "start_time": 1894.74, "end_time": 1900.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 381, "text": "Like, like everyone's coming to the same conclusion.", "raw_text": "Like, like everyone's coming to the same conclusion.", "start_time": 1900.67, "end_time": 1904.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 382, "text": "Yep.", "raw_text": "Yep.", "start_time": 1904.43, "end_time": 1904.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 383, "text": "But yeah, you get like the devs sandbox, Snapchat stood up and then yeah, everything just operates from there.", "raw_text": "But yeah, you get like the devs sandbox, Snapchat stood up and then yeah, everything just operates from there.", "start_time": 1908.83, "end_time": 1917.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 384, "text": "Maybe you could have something that like in the commits and stuff come in and like make sure it doesn't need to update but like NPM packages and all that.", "raw_text": "Maybe you could have something that like in the commits and stuff come in and like make sure it doesn't need to update but like NPM packages and all that.", "start_time": 1918.27, "end_time": 1926.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 385, "text": "For the snapshot, if you were doing your like automated coding thing, would you just have like our agent node that you made or would you make.", "raw_text": "For the snapshot, if you were doing your like automated coding thing, would you just have like our agent node that you made or would you make.", "start_time": 1926.15, "end_time": 1940.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 386, "text": "Or would you just have like Claude code run inside that sandbox and do it?", "raw_text": "Or would you just have like Claude code run inside that sandbox and do it?", "start_time": 1940.61, "end_time": 1944.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 387, "text": "Oh no, I'd want it to run it in the sandbox for sure.", "raw_text": "Oh no, I'd want it to run it in the sandbox for sure.", "start_time": 1949.85, "end_time": 1953.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 388, "text": "Just like.", "raw_text": "Just like.", "start_time": 1953.29, "end_time": 1953.85, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 389, "text": "Yeah, startup cloud code inside that sandbox.", "raw_text": "Yeah, startup cloud code inside that sandbox.", "start_time": 1954.34, "end_time": 1957.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 390, "text": "Yeah, I think that'd be faster.", "raw_text": "Yeah, I think that'd be faster.", "start_time": 1958.5, "end_time": 1959.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 391, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1960.18, "end_time": 1960.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 392, "text": "And then you got you.", "raw_text": "And then you got you.", "start_time": 1960.74, "end_time": 1961.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 393, "text": "You leverage all their harness stuff that like as a Coding agent and prompts that they've already got baked.", "raw_text": "You leverage all their harness stuff that like as a Coding agent and prompts that they've already got baked.", "start_time": 1962.02, "end_time": 1968.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 394, "text": "And yeah, it's all like local files technically because you have the repo download, so that'll do so quick.", "raw_text": "And yeah, it's all like local files technically because you have the repo download, so that'll do so quick.", "start_time": 1969.54, "end_time": 1975.3, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 395, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1980.27, "end_time": 1980.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 396, "text": "Pretty sick.", "raw_text": "Pretty sick.", "start_time": 1980.99, "end_time": 1981.79, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 397, "text": "Have it finish.", "raw_text": "Have it finish.", "start_time": 1985.15, "end_time": 1985.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 398, "text": "I go and grab it and view it.", "raw_text": "I go and grab it and view it.", "start_time": 1985.91, "end_time": 1987.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 399, "text": "Or codes.", "raw_text": "Or codes.", "start_time": 1987.47, "end_time": 1988.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 400, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1988.59, "end_time": 1989.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 401, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1995.71, "end_time": 1996.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 402, "text": "The trying to get like the verification set up, set up would be like.", "raw_text": "The trying to get like the verification set up, set up would be like.", "start_time": 1996.23, "end_time": 2000.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 403, "text": "Try the hardest.", "raw_text": "Try the hardest.", "start_time": 2000.71, "end_time": 2001.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 404, "text": "But as long as you can stand up the dev environment in the sandbox, like you can stand up a browser.", "raw_text": "But as long as you can stand up the dev environment in the sandbox, like you can stand up a browser.", "start_time": 2001.71, "end_time": 2006.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 405, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2007.44, "end_time": 2007.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 406, "text": "Which means agent, browser, or any of the other stuff would work fine.", "raw_text": "Which means agent, browser, or any of the other stuff would work fine.", "start_time": 2007.68, "end_time": 2011.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 407, "text": "Yep.", "raw_text": "Yep.", "start_time": 2012.72, "end_time": 2013.24, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 408, "text": "In theory.", "raw_text": "In theory.", "start_time": 2013.24, "end_time": 2014.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 409, "text": "And like unit test every project as well.", "raw_text": "And like unit test every project as well.", "start_time": 2020.32, "end_time": 2024.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 410, "text": "But it could just do that on the fly.", "raw_text": "But it could just do that on the fly.", "start_time": 2026.8, "end_time": 2028.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 411, "text": "Like.", "raw_text": "Like.", "start_time": 2030, "end_time": 2030.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 412, "text": "Like, I really think the main thing you're maintaining is just like how to stand this project up in the sandbox.", "raw_text": "Like, I really think the main thing you're maintaining is just like how to stand this project up in the sandbox.", "start_time": 2030.56, "end_time": 2036.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 413, "text": "Like, that's all you're maintaining across.", "raw_text": "Like, that's all you're maintaining across.", "start_time": 2036.19, "end_time": 2037.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 414, "text": "Like, imagine if you have like a Dart Dot Spark folder in like every project with like a spec envy or something and that's like what your sandbox thing reads.", "raw_text": "Like, imagine if you have like a Dart Dot Spark folder in like every project with like a spec envy or something and that's like what your sandbox thing reads.", "start_time": 2038.59, "end_time": 2050.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 415, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2051.55, "end_time": 2052.11, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 416, "text": "And then you can.", "raw_text": "And then you can.", "start_time": 2053.63, "end_time": 2054.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 417, "text": "Can.", "raw_text": "Can.", "start_time": 2054.39, "end_time": 2054.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 418, "text": "That's where you can like put levers in to change per project and do whatever you got to do.", "raw_text": "That's where you can like put levers in to change per project and do whatever you got to do.", "start_time": 2054.75, "end_time": 2058.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 419, "text": "I think really the unlock there is the getting the triggers to like kick off it.", "raw_text": "I think really the unlock there is the getting the triggers to like kick off it.", "start_time": 2059.879, "end_time": 2068.639, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 420, "text": "Doing something too.", "raw_text": "Doing something too.", "start_time": 2068.639, "end_time": 2069.719, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 421, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2070.839, "end_time": 2071.399, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 422, "text": "Because like, if you're like watching all these call transcripts or.", "raw_text": "Because like, if you're like watching all these call transcripts or.", "start_time": 2071.399, "end_time": 2076.519, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 423, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 2079.079, "end_time": 2079.679, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 424, "text": "Or like even before, like you have like the.", "raw_text": "Or like even before, like you have like the.", "start_time": 2079.679, "end_time": 2082.439, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 425, "text": "Well, once we.", "raw_text": "Well, once we.", "start_time": 2082.679, "end_time": 2083.479, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 426, "text": "Once.", "raw_text": "Once.", "start_time": 2083.479, "end_time": 2083.799, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 427, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2084.839, "end_time": 2085.199, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 428, "text": "Once you get that.", "raw_text": "Once you get that.", "start_time": 2085.199, "end_time": 2085.879, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 429, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2085.879, "end_time": 2086.159, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 430, "text": "Do it before the ticket or.", "raw_text": "Do it before the ticket or.", "start_time": 2086.159, "end_time": 2088.609, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 431, "text": "Or maybe you don't bypass the ticket, but like get the tickets automated.", "raw_text": "Or maybe you don't bypass the ticket, but like get the tickets automated.", "start_time": 2088.609, "end_time": 2094.289, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 432, "text": "If you want to run it all off linear, like tap into like email, tap into fireflies.", "raw_text": "If you want to run it all off linear, like tap into like email, tap into fireflies.", "start_time": 2096.289, "end_time": 2105.889, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 433, "text": "And I think that, I mean, the ticket becomes probably the most important thing then to make sure that that's like accurate as hell.", "raw_text": "And I think that, I mean, the ticket becomes probably the most important thing then to make sure that that's like accurate as hell.", "start_time": 2106.769, "end_time": 2117.02, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 434, "text": "Maybe I'll be.", "raw_text": "Maybe I'll be.", "start_time": 2118.06, "end_time": 2118.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 435, "text": "The next thing I do would be just fireflies to ticket.", "raw_text": "The next thing I do would be just fireflies to ticket.", "start_time": 2118.82, "end_time": 2123.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 436, "text": "Like if we can make that ticket like sweet and like pulling the repo for context and like, like you could do the same thing.", "raw_text": "Like if we can make that ticket like sweet and like pulling the repo for context and like, like you could do the same thing.", "start_time": 2123.98, "end_time": 2132.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 437, "text": "You could pull in spin up a sandbox with Claude code, that fog code.", "raw_text": "You could pull in spin up a sandbox with Claude code, that fog code.", "start_time": 2132.34, "end_time": 2136.94, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 438, "text": "Like.", "raw_text": "Like.", "start_time": 2136.94, "end_time": 2137.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 439, "text": "Right.", "raw_text": "Right.", "start_time": 2137.14, "end_time": 2137.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 440, "text": "The ticket essentially looking at the actual code.", "raw_text": "The ticket essentially looking at the actual code.", "start_time": 2137.34, "end_time": 2139.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 441, "text": "Yeah, true.", "raw_text": "Yeah, true.", "start_time": 2140.14, "end_time": 2143.06, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 442, "text": "You could use the same sandbox.", "raw_text": "You could use the same sandbox.", "start_time": 2143.06, "end_time": 2144.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 443, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2145.58, "end_time": 2146.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 444, "text": "Which at that point, I mean, just let the.", "raw_text": "Which at that point, I mean, just let the.", "start_time": 2146.7, "end_time": 2148.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 445, "text": "Or just don't write a ticket.", "raw_text": "Or just don't write a ticket.", "start_time": 2149.42, "end_time": 2150.9, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 446, "text": "Or just don't write the tickets.", "raw_text": "Or just don't write the tickets.", "start_time": 2150.9, "end_time": 2152.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 447, "text": "Just let it do.", "raw_text": "Just let it do.", "start_time": 2152.18, "end_time": 2152.9, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 448, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2152.9, "end_time": 2153.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 449, "text": "Here's the pr.", "raw_text": "Here's the pr.", "start_time": 2153.74, "end_time": 2154.54, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 450, "text": "The PR is the ticket.", "raw_text": "The PR is the ticket.", "start_time": 2154.54, "end_time": 2155.9, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 451, "text": "No, but I feel like you'd want one set of eyes before that.", "raw_text": "No, but I feel like you'd want one set of eyes before that.", "start_time": 2157.9, "end_time": 2163.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 452, "text": "Well, I could write the ticket and the PR at the same time.", "raw_text": "Well, I could write the ticket and the PR at the same time.", "start_time": 2165.66, "end_time": 2168.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 453, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2170.59, "end_time": 2170.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 454, "text": "I feel like unless you want to gate the dev work behind like someone reviewing the ticket yeah, really?", "raw_text": "I feel like unless you want to gate the dev work behind like someone reviewing the ticket yeah, really?", "start_time": 2171.47, "end_time": 2181.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 455, "text": "The ticket or whether it's an event, in this event workflow thing and.", "raw_text": "The ticket or whether it's an event, in this event workflow thing and.", "start_time": 2181.79, "end_time": 2187.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 456, "text": "Or the ticket, you've got to know like, why.", "raw_text": "Or the ticket, you've got to know like, why.", "start_time": 2187.95, "end_time": 2191.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 457, "text": "Why did this thing decide to do this?", "raw_text": "Why did this thing decide to do this?", "start_time": 2191.55, "end_time": 2193.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 458, "text": "Oh, because so and so mentioned on the call that this button should be validated by this form or something.", "raw_text": "Oh, because so and so mentioned on the call that this button should be validated by this form or something.", "start_time": 2193.95, "end_time": 2202.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 459, "text": "Flag those things like in scope, out of scope.", "raw_text": "Flag those things like in scope, out of scope.", "start_time": 2208.19, "end_time": 2210.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 460, "text": "But we live.", "raw_text": "But we live.", "start_time": 2214.91, "end_time": 2215.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 461, "text": "I mean in the current Spark project we have where you can add spark to the ticket and it like gets off and running.", "raw_text": "I mean in the current Spark project we have where you can add spark to the ticket and it like gets off and running.", "start_time": 2215.55, "end_time": 2221.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 462, "text": "So we just need to change the latter portion of that.", "raw_text": "So we just need to change the latter portion of that.", "start_time": 2221.51, "end_time": 2223.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 463, "text": "Not to use the clock code PR thing.", "raw_text": "Not to use the clock code PR thing.", "start_time": 2223.55, "end_time": 2226.3, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 464, "text": "We set that up to do the sandbox stuff.", "raw_text": "We set that up to do the sandbox stuff.", "start_time": 2226.3, "end_time": 2228.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 465, "text": "Yeah, That's.", "raw_text": "Yeah, That's.", "start_time": 2228.62, "end_time": 2235.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 466, "text": "I think that's closer than you think.", "raw_text": "I think that's closer than you think.", "start_time": 2235.66, "end_time": 2238.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 467, "text": "Oh, for sure.", "raw_text": "Oh, for sure.", "start_time": 2238.46, "end_time": 2239.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 468, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2239.34, "end_time": 2239.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 469, "text": "Well, I think these workflow, like the catalyst of like what kicks that off is an important glue piece too.", "raw_text": "Well, I think these workflow, like the catalyst of like what kicks that off is an important glue piece too.", "start_time": 2241.02, "end_time": 2246.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 470, "text": "Yeah, like we're getting close on there.", "raw_text": "Yeah, like we're getting close on there.", "start_time": 2246.5, "end_time": 2248.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 471, "text": "That's what that.", "raw_text": "That's what that.", "start_time": 2248.62, "end_time": 2249.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 472, "text": "That like Symphony project from Open AI is.", "raw_text": "That like Symphony project from Open AI is.", "start_time": 2251.27, "end_time": 2253.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 473, "text": "It'll like look at your linear board.", "raw_text": "It'll like look at your linear board.", "start_time": 2253.75, "end_time": 2255.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 474, "text": "And it kind of acts as just like the orchestrator for like stuff coming in.", "raw_text": "And it kind of acts as just like the orchestrator for like stuff coming in.", "start_time": 2255.59, "end_time": 2260.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 475, "text": "But even that, like you got to have the tickets coming in, like you're saying.", "raw_text": "But even that, like you got to have the tickets coming in, like you're saying.", "start_time": 2261.67, "end_time": 2264.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 476, "text": "Yep.", "raw_text": "Yep.", "start_time": 2265.11, "end_time": 2265.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 477, "text": "That chat SDK, is that for inbound, like messages two?", "raw_text": "That chat SDK, is that for inbound, like messages two?", "start_time": 2269.11, "end_time": 2275.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 478, "text": "I think it's both.", "raw_text": "I think it's both.", "start_time": 2277.35, "end_time": 2278.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 479, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2278.55, "end_time": 2278.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 480, "text": "Now phone.", "raw_text": "Now phone.", "start_time": 2278.91, "end_time": 2279.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 481, "text": "Yeah, For us I think it's either calls could be slack, But like being able to forward emails.", "raw_text": "Yeah, For us I think it's either calls could be slack, But like being able to forward emails.", "start_time": 2279.55, "end_time": 2298.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 482, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2302.08, "end_time": 2302.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 483, "text": "One of the adapters they have in here.", "raw_text": "One of the adapters they have in here.", "start_time": 2302.64, "end_time": 2304.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 484, "text": "Did you get it figured out, Kaden?", "raw_text": "Did you get it figured out, Kaden?", "start_time": 2305.52, "end_time": 2307.2, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 485, "text": "I think so.", "raw_text": "I think so.", "start_time": 2308.72, "end_time": 2309.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 486, "text": "I got the demo deployed.", "raw_text": "I got the demo deployed.", "start_time": 2313.12, "end_time": 2315.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 487, "text": "Now I'm just trying to figure out what I need to do before I can just give you my callback URL because I'm getting a 403 but I should be able to open up Azure and just not be able to redirect.", "raw_text": "Now I'm just trying to figure out what I need to do before I can just give you my callback URL because I'm getting a 403 but I should be able to open up Azure and just not be able to redirect.", "start_time": 2315.24, "end_time": 2326.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "Oh, it's because of my trusted.", "raw_text": "Oh, it's because of my trusted.", "start_time": 2329.75, "end_time": 2332.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 489, "text": "Okay, so that demo database is the same Supabase, but it's like different somehow.", "raw_text": "Okay, so that demo database is the same Supabase, but it's like different somehow.", "start_time": 2332.15, "end_time": 2342.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 490, "text": "Yeah, it's a branch.", "raw_text": "Yeah, it's a branch.", "start_time": 2343.189, "end_time": 2344.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 491, "text": "I can show you.", "raw_text": "I can show you.", "start_time": 2344.63, "end_time": 2345.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 492, "text": "So what's the connection string look like?", "raw_text": "So what's the connection string look like?", "start_time": 2346.15, "end_time": 2347.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 493, "text": "For that to get to that branch you just say like slash, whatever or something.", "raw_text": "For that to get to that branch you just say like slash, whatever or something.", "start_time": 2347.95, "end_time": 2351.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 494, "text": "It looks like the same basically, except it's just got a different.", "raw_text": "It looks like the same basically, except it's just got a different.", "start_time": 2356.72, "end_time": 2360.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 495, "text": "It doesn't even say slash branch in it.", "raw_text": "It doesn't even say slash branch in it.", "start_time": 2363.04, "end_time": 2365.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 496, "text": "It just changes the host.", "raw_text": "It just changes the host.", "start_time": 2365.04, "end_time": 2366.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 497, "text": "Hold on, let me share my screen.", "raw_text": "Hold on, let me share my screen.", "start_time": 2366.36, "end_time": 2368, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 498, "text": "Which screen?", "raw_text": "Which screen?", "start_time": 2368, "end_time": 2368.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 499, "text": "Oh, but it's the same password.", "raw_text": "Oh, but it's the same password.", "start_time": 2369.04, "end_time": 2372.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 500, "text": "That's the wrong.", "raw_text": "That's the wrong.", "start_time": 2373.36, "end_time": 2374.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 501, "text": "Yeah, it's the same password.", "raw_text": "Yeah, it's the same password.", "start_time": 2374.16, "end_time": 2375.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 502, "text": "Yeah, it's like here's my connection string here I'll just open up Supabase.", "raw_text": "Yeah, it's like here's my connection string here I'll just open up Supabase.", "start_time": 2379.05, "end_time": 2382.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 503, "text": "So like right here I'm in foundation and then I can go to demo.", "raw_text": "So like right here I'm in foundation and then I can go to demo.", "start_time": 2382.33, "end_time": 2388.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 504, "text": "So now I'm in the demo branch and it just changes the.", "raw_text": "So now I'm in the demo branch and it just changes the.", "start_time": 2388.41, "end_time": 2392.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 505, "text": "It gives me a different project id so, like, you can hit it like a different database, I think.", "raw_text": "It gives me a different project id so, like, you can hit it like a different database, I think.", "start_time": 2393.69, "end_time": 2399.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 506, "text": "But it's so.", "raw_text": "But it's so.", "start_time": 2399.93, "end_time": 2400.69, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 507, "text": "It's like.", "raw_text": "It's like.", "start_time": 2400.69, "end_time": 2400.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 508, "text": "It gives me a totally different connection string, but the password's the same.", "raw_text": "It gives me a totally different connection string, but the password's the same.", "start_time": 2400.97, "end_time": 2405.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 509, "text": "So, like, here's my connection string for direct versus main.", "raw_text": "So, like, here's my connection string for direct versus main.", "start_time": 2405.43, "end_time": 2411.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 510, "text": "So it's not like it has like slash, branch or anything in there.", "raw_text": "So it's not like it has like slash, branch or anything in there.", "start_time": 2411.91, "end_time": 2414.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 511, "text": "I don't really know.", "raw_text": "I don't really know.", "start_time": 2414.79, "end_time": 2415.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 512, "text": "I know we talked about branching last time.", "raw_text": "I know we talked about branching last time.", "start_time": 2415.91, "end_time": 2418.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 513, "text": "I'm not sure.", "raw_text": "I'm not sure.", "start_time": 2418.31, "end_time": 2418.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 514, "text": "I feel like it might be easier to just use a separate database, but I'm giving branching a go.", "raw_text": "I feel like it might be easier to just use a separate database, but I'm giving branching a go.", "start_time": 2419.03, "end_time": 2423.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 515, "text": "I haven't done anything with it before.", "raw_text": "I haven't done anything with it before.", "start_time": 2423.47, "end_time": 2424.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 516, "text": "Looks like Boone already had one.", "raw_text": "Looks like Boone already had one.", "start_time": 2425.59, "end_time": 2427.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 517, "text": "He's got an OD demo and System 4 demo branch in there.", "raw_text": "He's got an OD demo and System 4 demo branch in there.", "start_time": 2427.03, "end_time": 2429.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 518, "text": "So I'm trying demo and staging.", "raw_text": "So I'm trying demo and staging.", "start_time": 2430.07, "end_time": 2431.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 519, "text": "This is Hudson, Ohio.", "raw_text": "This is Hudson, Ohio.", "start_time": 2436.48, "end_time": 2437.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 520, "text": "Looks like.", "raw_text": "Looks like.", "start_time": 2441.84, "end_time": 2442.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 521, "text": "It looks like a vacation somewhere.", "raw_text": "It looks like a vacation somewhere.", "start_time": 2442.72, "end_time": 2444.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 522, "text": "It's hilarious.", "raw_text": "It's hilarious.", "start_time": 2445.68, "end_time": 2446.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 523, "text": "That's great.", "raw_text": "That's great.", "start_time": 2446.72, "end_time": 2447.44, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 524, "text": "That park's awesome.", "raw_text": "That park's awesome.", "start_time": 2448.16, "end_time": 2449.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 525, "text": "Yeah, I want to get out there and take like a little canoe thing around.", "raw_text": "Yeah, I want to get out there and take like a little canoe thing around.", "start_time": 2449.44, "end_time": 2454.44, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 526, "text": "I never did that before.", "raw_text": "I never did that before.", "start_time": 2454.44, "end_time": 2455.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 527, "text": "Yeah, you can like.", "raw_text": "Yeah, you can like.", "start_time": 2456.56, "end_time": 2457.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 528, "text": "I think you can, like, rent a little spot there to put it too.", "raw_text": "I think you can, like, rent a little spot there to put it too.", "start_time": 2459.16, "end_time": 2461.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 529, "text": "That'd be great.", "raw_text": "That'd be great.", "start_time": 2462.84, "end_time": 2463.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 530, "text": "I saw this one guy was doing that and he was doing some sort of, like, training.", "raw_text": "I saw this one guy was doing that and he was doing some sort of, like, training.", "start_time": 2465.08, "end_time": 2469.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 531, "text": "He would, like, dunk himself and, like, get back out.", "raw_text": "He would, like, dunk himself and, like, get back out.", "start_time": 2469.72, "end_time": 2472.44, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 532, "text": "I was like, this guy's a while.", "raw_text": "I was like, this guy's a while.", "start_time": 2473.96, "end_time": 2475.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 533, "text": "He'd be like, sitting there, he'd be like.", "raw_text": "He'd be like, sitting there, he'd be like.", "start_time": 2475.8, "end_time": 2477.36, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 534, "text": "And tip over on purpose and then like, what?", "raw_text": "And tip over on purpose and then like, what?", "start_time": 2477.36, "end_time": 2479.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 535, "text": "Fix it?", "raw_text": "Fix it?", "start_time": 2480.44, "end_time": 2481.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 536, "text": "What?", "raw_text": "What?", "start_time": 2481.72, "end_time": 2482.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 537, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2482.44, "end_time": 2482.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 538, "text": "Is that Malfronte?", "raw_text": "Is that Malfronte?", "start_time": 2483.24, "end_time": 2484.44, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 539, "text": "Maybe he was like the Malfronto of canoeing or kayaking.", "raw_text": "Maybe he was like the Malfronto of canoeing or kayaking.", "start_time": 2484.6, "end_time": 2488.88, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 540, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 2488.88, "end_time": 2489.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 541, "text": "That chat SDK has.", "raw_text": "That chat SDK has.", "start_time": 2498.26, "end_time": 2499.94, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 542, "text": "I mean, relevant to us has Slack teams, GitHub and linear adapters.", "raw_text": "I mean, relevant to us has Slack teams, GitHub and linear adapters.", "start_time": 2502.82, "end_time": 2507.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 543, "text": "So, like, if we integrate that in foundation, we immediately get integrations to like, all this.", "raw_text": "So, like, if we integrate that in foundation, we immediately get integrations to like, all this.", "start_time": 2509.54, "end_time": 2513.54, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 544, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2514.1, "end_time": 2514.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 545, "text": "All those chat channels and then Discord, Telegram.", "raw_text": "All those chat channels and then Discord, Telegram.", "start_time": 2515.39, "end_time": 2518.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 546, "text": "How do you think we would tie that off as like, kicking off a workflow?", "raw_text": "How do you think we would tie that off as like, kicking off a workflow?", "start_time": 2519.23, "end_time": 2525.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 547, "text": "We could have like a triage thing where like all that goes to.", "raw_text": "We could have like a triage thing where like all that goes to.", "start_time": 2528.67, "end_time": 2531.87, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 548, "text": "And it's like, what workflow should I do?", "raw_text": "And it's like, what workflow should I do?", "start_time": 2531.87, "end_time": 2534.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 549, "text": "Just.", "raw_text": "Just.", "start_time": 2534.35, "end_time": 2534.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 550, "text": "It has like a. I mean, you could just make that the same agent as the chat.", "raw_text": "It has like a. I mean, you could just make that the same agent as the chat.", "start_time": 2534.71, "end_time": 2544.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 551, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 2545.88, "end_time": 2546.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 552, "text": "You would just need to be all awesome.", "raw_text": "You would just need to be all awesome.", "start_time": 2546.6, "end_time": 2548.76, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 553, "text": "We have to figure that part.", "raw_text": "We have to figure that part.", "start_time": 2551.88, "end_time": 2553.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 554, "text": "It'd be the same.", "raw_text": "It'd be the same.", "start_time": 2553.72, "end_time": 2554.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 555, "text": "Almost the same thing as the off you're doing for.", "raw_text": "Almost the same thing as the off you're doing for.", "start_time": 2554.56, "end_time": 2557, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 556, "text": "Off for that app.", "raw_text": "Off for that app.", "start_time": 2562.6, "end_time": 2563.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 557, "text": "But here gives you to go.", "raw_text": "But here gives you to go.", "start_time": 2563.48, "end_time": 2565, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 558, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2565.32, "end_time": 2565.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 559, "text": "I mean, Codex just did this cleanup of that stuff that I was talking about.", "raw_text": "I mean, Codex just did this cleanup of that stuff that I was talking about.", "start_time": 2575.65, "end_time": 2582.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 560, "text": "Probably a 50 touch, 50 files, two shot at it.", "raw_text": "Probably a 50 touch, 50 files, two shot at it.", "start_time": 2584.37, "end_time": 2588.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 561, "text": "Nice.", "raw_text": "Nice.", "start_time": 2590.77, "end_time": 2591.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 562, "text": "This from what I'm tested, it looks.", "raw_text": "This from what I'm tested, it looks.", "start_time": 2594.06, "end_time": 2595.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 563, "text": "It looks good.", "raw_text": "It looks good.", "start_time": 2595.66, "end_time": 2596.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 564, "text": "I gotta wait 14 minutes to code anything until 2:00pm Oh, I. I hit mine at 158.", "raw_text": "I gotta wait 14 minutes to code anything until 2:00pm Oh, I. I hit mine at 158.", "start_time": 2596.38, "end_time": 2609.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 565, "text": "Yeah, You can.", "raw_text": "Yeah, You can.", "start_time": 2610.54, "end_time": 2615.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 566, "text": "Are you on the team's one?", "raw_text": "Are you on the team's one?", "start_time": 2616.38, "end_time": 2617.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 567, "text": "You should be able to keep going.", "raw_text": "You should be able to keep going.", "start_time": 2617.86, "end_time": 2618.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 568, "text": "I don't think so.", "raw_text": "I don't think so.", "start_time": 2619.38, "end_time": 2620.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 569, "text": "I think I'm on my own.", "raw_text": "I think I'm on my own.", "start_time": 2620.5, "end_time": 2621.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 570, "text": "Oh, if you switch to the teams one though, we have like extra usage, so you can just keep going.", "raw_text": "Oh, if you switch to the teams one though, we have like extra usage, so you can just keep going.", "start_time": 2622.42, "end_time": 2626.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 571, "text": "It'll just be on like 8 Gap or.", "raw_text": "It'll just be on like 8 Gap or.", "start_time": 2626.5, "end_time": 2628.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 572, "text": "I think.", "raw_text": "I think.", "start_time": 2628.62, "end_time": 2628.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 573, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2629.7, "end_time": 2630.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 574, "text": "How's it work?", "raw_text": "How's it work?", "start_time": 2631.86, "end_time": 2632.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 575, "text": "Will it.", "raw_text": "Will it.", "start_time": 2632.9, "end_time": 2633.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 576, "text": "Well, like.", "raw_text": "Well, like.", "start_time": 2634.18, "end_time": 2634.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 577, "text": "Yeah, all my sessions are local.", "raw_text": "Yeah, all my sessions are local.", "start_time": 2634.82, "end_time": 2636.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 578, "text": "Right.", "raw_text": "Right.", "start_time": 2636.9, "end_time": 2637.3, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 579, "text": "So just pick up where it left out.", "raw_text": "So just pick up where it left out.", "start_time": 2639.3, "end_time": 2642.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 580, "text": "Yes.", "raw_text": "Yes.", "start_time": 2642.58, "end_time": 2642.94, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 581, "text": "If you like, log out back into the teams like I think.", "raw_text": "If you like, log out back into the teams like I think.", "start_time": 2642.94, "end_time": 2645.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 582, "text": "I can't switch the teams.", "raw_text": "I can't switch the teams.", "start_time": 2652.62, "end_time": 2653.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 583, "text": "I got too much in my own.", "raw_text": "I got too much in my own.", "start_time": 2653.98, "end_time": 2655.42, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 584, "text": "Forget it.", "raw_text": "Forget it.", "start_time": 2658.46, "end_time": 2659.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 585, "text": "It's gonna be.", "raw_text": "It's gonna be.", "start_time": 2659.5, "end_time": 2660.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 586, "text": "That'll take me a long time.", "raw_text": "That'll take me a long time.", "start_time": 2660.34, "end_time": 2661.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 587, "text": "They work, Kaden.", "raw_text": "They work, Kaden.", "start_time": 2666.62, "end_time": 2667.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 588, "text": "No, I think I up.", "raw_text": "No, I think I up.", "start_time": 2669.58, "end_time": 2671.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 589, "text": "Hold on.", "raw_text": "Hold on.", "start_time": 2674.63, "end_time": 2675.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 590, "text": "I think Claude was lying to me.", "raw_text": "I think Claude was lying to me.", "start_time": 2675.03, "end_time": 2676.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 591, "text": "Well, it does connect.", "raw_text": "Well, it does connect.", "start_time": 2678.15, "end_time": 2679.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 592, "text": "I just think that I accidentally just switched prod to point also at the demo database.", "raw_text": "I just think that I accidentally just switched prod to point also at the demo database.", "start_time": 2679.31, "end_time": 2684.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 593, "text": "So I'm going to switch prod back to the prod database and then demo to the demo database.", "raw_text": "So I'm going to switch prod back to the prod database and then demo to the demo database.", "start_time": 2684.55, "end_time": 2689.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 594, "text": "Justin, I'm gonna actually need your prod.", "raw_text": "Justin, I'm gonna actually need your prod.", "start_time": 2735.45, "end_time": 2736.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 595, "text": "I'll take your broad env now.", "raw_text": "I'll take your broad env now.", "start_time": 2737.45, "end_time": 2739.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 596, "text": "Now I can just use that to fix my mistake and then fix my.", "raw_text": "Now I can just use that to fix my mistake and then fix my.", "start_time": 2739.41, "end_time": 2742.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 597, "text": "Turns out if you make custom environments in Vercel and then you switch which environment you're editing, they can have shared variables which will just change all of them.", "raw_text": "Turns out if you make custom environments in Vercel and then you switch which environment you're editing, they can have shared variables which will just change all of them.", "start_time": 2758.02, "end_time": 2767.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 598, "text": "FYI,.", "raw_text": "FYI,.", "start_time": 2768.26, "end_time": 2769.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 599, "text": "You just need the.", "raw_text": "You just need the.", "start_time": 2780.59, "end_time": 2781.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 600, "text": "I don't have the full env.", "raw_text": "I don't have the full env.", "start_time": 2782.19, "end_time": 2783.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 601, "text": "You just need the database.", "raw_text": "You just need the database.", "start_time": 2783.55, "end_time": 2784.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 602, "text": "Yeah, that'd be fine.", "raw_text": "Yeah, that'd be fine.", "start_time": 2785.39, "end_time": 2786.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 603, "text": "I wonder if I have that in my local.", "raw_text": "I wonder if I have that in my local.", "start_time": 2804.44, "end_time": 2805.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 604, "text": "Well, do you have like the.", "raw_text": "Well, do you have like the.", "start_time": 2810.6, "end_time": 2811.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 605, "text": "The Supabase?", "raw_text": "The Supabase?", "start_time": 2813.32, "end_time": 2814.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 606, "text": "Which ones did I change here?", "raw_text": "Which ones did I change here?", "start_time": 2815, "end_time": 2816.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 607, "text": "It's the suitabase URL anon key postgres URL non pooling postgres host prisma URL I'll just go manually pull them out of the suit base.", "raw_text": "It's the suitabase URL anon key postgres URL non pooling postgres host prisma URL I'll just go manually pull them out of the suit base.", "start_time": 2817.08, "end_time": 2826.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 608, "text": "I just don't have them all in one spot.", "raw_text": "I just don't have them all in one spot.", "start_time": 2826.2, "end_time": 2827.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 609, "text": "I just sent you the project URL and the DB host in the port.", "raw_text": "I just sent you the project URL and the DB host in the port.", "start_time": 2828.95, "end_time": 2832.63, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 610, "text": "In the chat.", "raw_text": "In the chat.", "start_time": 2837.11, "end_time": 2837.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 611, "text": "All right, thanks.", "raw_text": "All right, thanks.", "start_time": 2839.03, "end_time": 2839.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 612, "text": "Machines out there?", "raw_text": "Machines out there?", "start_time": 2870.8, "end_time": 2871.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 613, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2872.56, "end_time": 2873.04, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 614, "text": "Football.", "raw_text": "Football.", "start_time": 2875.84, "end_time": 2876.24, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 615, "text": "Curling my neck.", "raw_text": "Curling my neck.", "start_time": 2876.24, "end_time": 2877.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 616, "text": "Is it.", "raw_text": "Is it.", "start_time": 2877.16, "end_time": 2879.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 617, "text": "The.", "raw_text": "The.", "start_time": 2965.4, "end_time": 2965.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 618, "text": "I just feel like the harness stuff we're talking about though.", "raw_text": "I just feel like the harness stuff we're talking about though.", "start_time": 2966.76, "end_time": 2969.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 619, "text": "We just wait like two months.", "raw_text": "We just wait like two months.", "start_time": 2970.68, "end_time": 2972.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 620, "text": "There's just going to be a solution for it.", "raw_text": "There's just going to be a solution for it.", "start_time": 2972.6, "end_time": 2974.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 621, "text": "What?", "raw_text": "What?", "start_time": 2975.56, "end_time": 2975.88, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 622, "text": "The clock code just released.", "raw_text": "The clock code just released.", "start_time": 2975.88, "end_time": 2979.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 623, "text": "Clock code auto fix in the cloud now automatically follow PRs fixing CI failures and addressing comments.", "raw_text": "Clock code auto fix in the cloud now automatically follow PRs fixing CI failures and addressing comments.", "start_time": 2979.48, "end_time": 2988.69, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 624, "text": "So the PR is always brilliant.", "raw_text": "So the PR is always brilliant.", "start_time": 2988.85, "end_time": 2990.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 625, "text": "Oh man.", "raw_text": "Oh man.", "start_time": 3004.21, "end_time": 3004.85, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 626, "text": "Paul Skeens didn't look too good.", "raw_text": "Paul Skeens didn't look too good.", "start_time": 3004.93, "end_time": 3006.69, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 627, "text": "Got crushed.", "raw_text": "Got crushed.", "start_time": 3007.05, "end_time": 3007.85, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 628, "text": "That's not good.", "raw_text": "That's not good.", "start_time": 3015.85, "end_time": 3016.73, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 629, "text": "So all that stuff you tell it like, check the PR now.", "raw_text": "So all that stuff you tell it like, check the PR now.", "start_time": 3091.08, "end_time": 3093.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 630, "text": "Check the PR now.", "raw_text": "Check the PR now.", "start_time": 3093.92, "end_time": 3095.24, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 631, "text": "It's just gonna do it.", "raw_text": "It's just gonna do it.", "start_time": 3096.44, "end_time": 3097.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 632, "text": "Why does it say in the cloud?", "raw_text": "Why does it say in the cloud?", "start_time": 3101.72, "end_time": 3103.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 633, "text": "I'm assuming that's saying, like, you're not.", "raw_text": "I'm assuming that's saying, like, you're not.", "start_time": 3107.4, "end_time": 3109.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 634, "text": "You're not posting that.", "raw_text": "You're not posting that.", "start_time": 3111.3, "end_time": 3112.46, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 635, "text": "Runner, How you doing?", "raw_text": "Runner, How you doing?", "start_time": 3112.46, "end_time": 3118.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 636, "text": "I didn't get that far.", "raw_text": "I didn't get that far.", "start_time": 3121.62, "end_time": 3122.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 637, "text": "Connect your GitHub account.", "raw_text": "Connect your GitHub account.", "start_time": 3124.34, "end_time": 3125.619, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 638, "text": "All right, you're good.", "raw_text": "All right, you're good.", "start_time": 3125.619, "end_time": 3126.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 639, "text": "So, I mean, think about this.", "raw_text": "So, I mean, think about this.", "start_time": 3136.27, "end_time": 3137.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 640, "text": "Part of the harness is already there.", "raw_text": "Part of the harness is already there.", "start_time": 3138.35, "end_time": 3139.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 641, "text": "Push up the pr.", "raw_text": "Push up the pr.", "start_time": 3139.91, "end_time": 3140.75, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 642, "text": "We already have code rev, review it and comment in it.", "raw_text": "We already have code rev, review it and comment in it.", "start_time": 3141.07, "end_time": 3143.79, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 643, "text": "So then Claude's just gonna auto fix all that?", "raw_text": "So then Claude's just gonna auto fix all that?", "start_time": 3144.59, "end_time": 3147.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 644, "text": "Yeah, well, we.", "raw_text": "Yeah, well, we.", "start_time": 3148.11, "end_time": 3151.269, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 645, "text": "We should have it run, like, unit tests and.", "raw_text": "We should have it run, like, unit tests and.", "start_time": 3151.269, "end_time": 3154.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 646, "text": "Much better.", "raw_text": "Much better.", "start_time": 3155.39, "end_time": 3156.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 647, "text": "So I want to actually run the app, like, validate it.", "raw_text": "So I want to actually run the app, like, validate it.", "start_time": 3156.51, "end_time": 3160.91, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 648, "text": "That seems like revenue is getting the big unlocks here.", "raw_text": "That seems like revenue is getting the big unlocks here.", "start_time": 3160.91, "end_time": 3164.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 649, "text": "I got like, the auto mode.", "raw_text": "I got like, the auto mode.", "start_time": 3201.05, "end_time": 3202.49, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 650, "text": "Like playing auto.", "raw_text": "Like playing auto.", "start_time": 3203.53, "end_time": 3205.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 651, "text": "Yeah, mine said auto mode.", "raw_text": "Yeah, mine said auto mode.", "start_time": 3205.69, "end_time": 3207.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 652, "text": "Not available.", "raw_text": "Not available.", "start_time": 3207.05, "end_time": 3207.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 653, "text": "Do you see that?", "raw_text": "Do you see that?", "start_time": 3207.93, "end_time": 3208.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 654, "text": "Yeah, maybe I got.", "raw_text": "Yeah, maybe I got.", "start_time": 3209.05, "end_time": 3212.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 655, "text": "I'm gonna buy you a new laptop.", "raw_text": "I'm gonna buy you a new laptop.", "start_time": 3212.09, "end_time": 3213.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 656, "text": "Maybe I gotta upgrade it, Run a little Claude space update.", "raw_text": "Maybe I gotta upgrade it, Run a little Claude space update.", "start_time": 3213.69, "end_time": 3224.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 657, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3224.72, "end_time": 3225.2, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 658, "text": "This app made $5,000 in three days.", "raw_text": "This app made $5,000 in three days.", "start_time": 3235.6, "end_time": 3238.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 659, "text": "You.", "raw_text": "You.", "start_time": 3240.16, "end_time": 3240.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 660, "text": "When you slap your Mac, it moans.", "raw_text": "When you slap your Mac, it moans.", "start_time": 3240.64, "end_time": 3242.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 661, "text": "That's it.", "raw_text": "That's it.", "start_time": 3243.84, "end_time": 3244.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 662, "text": "What?", "raw_text": "What?", "start_time": 3246.16, "end_time": 3246.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 663, "text": "It's called Slap Mac.", "raw_text": "It's called Slap Mac.", "start_time": 3246.52, "end_time": 3247.84, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 664, "text": "We should just be doing that.", "raw_text": "We should just be doing that.", "start_time": 3248.8, "end_time": 3250.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 665, "text": "When you slap it.", "raw_text": "When you slap it.", "start_time": 3252.24, "end_time": 3253.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 666, "text": "Did I hear that right?", "raw_text": "Did I hear that right?", "start_time": 3255.36, "end_time": 3256.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 667, "text": "Slap your Mac, it screams back.", "raw_text": "Slap your Mac, it screams back.", "start_time": 3257.2, "end_time": 3258.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 668, "text": "That's it.", "raw_text": "That's it.", "start_time": 3259.04, "end_time": 3259.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 669, "text": "That's that.", "raw_text": "That's that.", "start_time": 3259.68, "end_time": 3260.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 670, "text": "This guy claims he made $5,000.", "raw_text": "This guy claims he made $5,000.", "start_time": 3261.6, "end_time": 3264, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 671, "text": "Okay, that's actually hilarious.", "raw_text": "Okay, that's actually hilarious.", "start_time": 3264.56, "end_time": 3266.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 672, "text": "Who would think to.", "raw_text": "Who would think to.", "start_time": 3270.97, "end_time": 3271.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 673, "text": "Jeez.", "raw_text": "Jeez.", "start_time": 3274.65, "end_time": 3275.21, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 674, "text": "There.", "raw_text": "There.", "start_time": 3281.45, "end_time": 3281.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 675, "text": "See that guy, kid on the Shark Tank who was like.", "raw_text": "See that guy, kid on the Shark Tank who was like.", "start_time": 3281.77, "end_time": 3284.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 676, "text": "It was like, called like potato Pal or something.", "raw_text": "It was like, called like potato Pal or something.", "start_time": 3284.57, "end_time": 3289.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 677, "text": "You could send people on potatoes.", "raw_text": "You could send people on potatoes.", "start_time": 3289.05, "end_time": 3292.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 678, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3292.17, "end_time": 3292.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 679, "text": "And like, the first year he grossed like a hundred thousand something.", "raw_text": "And like, the first year he grossed like a hundred thousand something.", "start_time": 3293.13, "end_time": 3296.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 680, "text": "What are we doing?", "raw_text": "What are we doing?", "start_time": 3297.8, "end_time": 3298.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 681, "text": "Kid just made 100k writing on potatoes.", "raw_text": "Kid just made 100k writing on potatoes.", "start_time": 3300.12, "end_time": 3303.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 682, "text": "Yeah, We should make something in, like the AI, like that, like social games or something.", "raw_text": "Yeah, We should make something in, like the AI, like that, like social games or something.", "start_time": 3306.36, "end_time": 3317.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 683, "text": "Feel like AI with like a group chat and stuff is hilarious.", "raw_text": "Feel like AI with like a group chat and stuff is hilarious.", "start_time": 3318.76, "end_time": 3321.88, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 684, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3321.88, "end_time": 3322.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 685, "text": "Party atmosphere.", "raw_text": "Party atmosphere.", "start_time": 3322.32, "end_time": 3323.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 686, "text": "Mm.", "raw_text": "Mm.", "start_time": 3323.88, "end_time": 3324.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 687, "text": "Are we having this two o' clock too?", "raw_text": "Are we having this two o' clock too?", "start_time": 3349.49, "end_time": 3351.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 688, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3351.81, "end_time": 3352.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 689, "text": "You guys don't just want to jump to that?", "raw_text": "You guys don't just want to jump to that?", "start_time": 3352.17, "end_time": 3353.73, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 690, "text": "Yeah, I think.", "raw_text": "Yeah, I think.", "start_time": 3356.61, "end_time": 3357.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 691, "text": "Yeah, I totally messed up the env variables here.", "raw_text": "Yeah, I totally messed up the env variables here.", "start_time": 3358.05, "end_time": 3360.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 692, "text": "I'm gonna just.", "raw_text": "I'm gonna just.", "start_time": 3360.41, "end_time": 3361.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 693, "text": "I'm fixing these still.", "raw_text": "I'm fixing these still.", "start_time": 3361.09, "end_time": 3362.37, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 694, "text": "In hindsight, I would have rather made a new project.", "raw_text": "In hindsight, I would have rather made a new project.", "start_time": 3370.93, "end_time": 3373.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 695, "text": "For what?", "raw_text": "For what?", "start_time": 3377.9, "end_time": 3378.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 696, "text": "Dude, I up the UAV variable so bad.", "raw_text": "Dude, I up the UAV variable so bad.", "start_time": 3379.34, "end_time": 3382.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 697, "text": "Are they back?", "raw_text": "Are they back?", "start_time": 3384.78, "end_time": 3385.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 698, "text": "Is it just something you can restore?", "raw_text": "Is it just something you can restore?", "start_time": 3385.5, "end_time": 3387.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 699, "text": "No, no, not according to Claude.", "raw_text": "No, no, not according to Claude.", "start_time": 3387.74, "end_time": 3389.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 700, "text": "Hold on, I'll see if I can restore them.", "raw_text": "Hold on, I'll see if I can restore them.", "start_time": 3389.74, "end_time": 3391.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 701, "text": "Otherwise.", "raw_text": "Otherwise.", "start_time": 3391.54, "end_time": 3392.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 702, "text": "How?", "raw_text": "How?", "start_time": 3392.78, "end_time": 3393.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 703, "text": "Like, I have the different environments and then the Vercel ui, like, some of the buttons, it just won't let me click, and I don't know why.", "raw_text": "Like, I have the different environments and then the Vercel ui, like, some of the buttons, it just won't let me click, and I don't know why.", "start_time": 3393.14, "end_time": 3401.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 704, "text": "And then Claude's like, well, the only way you could fix these is you delete it and then you make two different versions.", "raw_text": "And then Claude's like, well, the only way you could fix these is you delete it and then you make two different versions.", "start_time": 3401.66, "end_time": 3406.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 705, "text": "And then I did that, and then now I have a prod and a demo.", "raw_text": "And then I did that, and then now I have a prod and a demo.", "start_time": 3406.02, "end_time": 3410.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 706, "text": "I can't even choose the demo environment from anywhere.", "raw_text": "I can't even choose the demo environment from anywhere.", "start_time": 3410.46, "end_time": 3412.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 707, "text": "Like, I don't I don't understand.", "raw_text": "Like, I don't I don't understand.", "start_time": 3412.9, "end_time": 3414.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 708, "text": "The UI is just like not working in Vercel and now I have like floating like.", "raw_text": "The UI is just like not working in Vercel and now I have like floating like.", "start_time": 3414.38, "end_time": 3418.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 709, "text": "I think all the variables for prod are back, but I don't understand.", "raw_text": "I think all the variables for prod are back, but I don't understand.", "start_time": 3418.3, "end_time": 3421.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 710, "text": "I'm struggling.", "raw_text": "I'm struggling.", "start_time": 3428.39, "end_time": 3429.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 711, "text": "I don't know what my deal is.", "raw_text": "I don't know what my deal is.", "start_time": 3429.19, "end_time": 3430.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 712, "text": "Maybe it's because they're managed.", "raw_text": "Maybe it's because they're managed.", "start_time": 3430.79, "end_time": 3432.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 713, "text": "Oh, I think some of these variables are managed by Supabase and it won't let me like change them.", "raw_text": "Oh, I think some of these variables are managed by Supabase and it won't let me like change them.", "start_time": 3432.15, "end_time": 3437.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 714, "text": "Yeah, some of them are managed by Suitabase.", "raw_text": "Yeah, some of them are managed by Suitabase.", "start_time": 3440.39, "end_time": 3443.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 715, "text": "This is very.", "raw_text": "This is very.", "start_time": 3444.47, "end_time": 3445.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 716, "text": "Like none of the buttons that look like they're going to work and help me are working or helping me.", "raw_text": "Like none of the buttons that look like they're going to work and help me are working or helping me.", "start_time": 3445.67, "end_time": 3450.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 717, "text": "That's.", "raw_text": "That's.", "start_time": 3451.27, "end_time": 3451.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 718, "text": "That's my frustration.", "raw_text": "That's my frustration.", "start_time": 3451.67, "end_time": 3452.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 719, "text": "Broad isn't broken at the moment because nothing got deployed.", "raw_text": "Broad isn't broken at the moment because nothing got deployed.", "start_time": 3458.22, "end_time": 3460.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 720, "text": "But if someone pushes to main right now, I feel like they're going to get the wrong environment variables.", "raw_text": "But if someone pushes to main right now, I feel like they're going to get the wrong environment variables.", "start_time": 3460.9, "end_time": 3464.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 721, "text": "Well, if you update the environment builds on Vercel, I think the app automatically consumes those.", "raw_text": "Well, if you update the environment builds on Vercel, I think the app automatically consumes those.", "start_time": 3468.54, "end_time": 3474.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 722, "text": "Pretty sure.", "raw_text": "Pretty sure.", "start_time": 3475.58, "end_time": 3476.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 723, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3477.1, "end_time": 3477.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 724, "text": "It says it redeployed, but then I looked in deployments and it didn't redeploy in Maine.", "raw_text": "It says it redeployed, but then I looked in deployments and it didn't redeploy in Maine.", "start_time": 3477.46, "end_time": 3481.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 725, "text": "I'm so confused because Vercel is telling me.", "raw_text": "I'm so confused because Vercel is telling me.", "start_time": 3481.3, "end_time": 3484.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 726, "text": "First it was telling me that like when I'm in the environment for demo, that it says preview and production.", "raw_text": "First it was telling me that like when I'm in the environment for demo, that it says preview and production.", "start_time": 3484.33, "end_time": 3491.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 727, "text": "That's for the demo environment.", "raw_text": "That's for the demo environment.", "start_time": 3491.89, "end_time": 3493.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 728, "text": "Like it's treating it like it has its own.", "raw_text": "Like it's treating it like it has its own.", "start_time": 3493.81, "end_time": 3495.65, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 729, "text": "But that's not the case because I go to production and the shared variables show which ones changed and I changed a variable that should have changed production and it said like redeploy and it only redeployed demo.", "raw_text": "But that's not the case because I go to production and the shared variables show which ones changed and I changed a variable that should have changed production and it said like redeploy and it only redeployed demo.", "start_time": 3495.81, "end_time": 3506.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 730, "text": "It didn't redeploy main.", "raw_text": "It didn't redeploy main.", "start_time": 3506.17, "end_time": 3507.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 731, "text": "So I. I don't know yet why that happened.", "raw_text": "So I. I don't know yet why that happened.", "start_time": 3507.89, "end_time": 3511.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 732, "text": "We could just have the two o'.", "raw_text": "We could just have the two o'.", "start_time": 3525.029, "end_time": 3526.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 733, "text": "Clock.", "raw_text": "Clock.", "start_time": 3526.19, "end_time": 3526.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 734, "text": "I can figure this out after if you want.", "raw_text": "I can figure this out after if you want.", "start_time": 3526.35, "end_time": 3527.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 735, "text": "I got that stuff ready.", "raw_text": "I got that stuff ready.", "start_time": 3527.87, "end_time": 3528.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 736, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 3536.56, "end_time": 3537, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 737, "text": "It looks messed up.", "raw_text": "It looks messed up.", "start_time": 3537, "end_time": 3538, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 738, "text": "Yeah, it's not.", "raw_text": "Yeah, it's not.", "start_time": 3539.68, "end_time": 3540.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 739, "text": "I it up real bad.", "raw_text": "I it up real bad.", "start_time": 3540.72, "end_time": 3542.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 740, "text": "I'm working on it.", "raw_text": "I'm working on it.", "start_time": 3542.64, "end_time": 3544, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 741, "text": "Well, how are you gonna get those?", "raw_text": "Well, how are you gonna get those?", "start_time": 3549.36, "end_time": 3550.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 742, "text": "The only one I don't have is the Auth secret, which I might have in my local env.", "raw_text": "The only one I don't have is the Auth secret, which I might have in my local env.", "start_time": 3554.08, "end_time": 3558.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 743, "text": "Do I have the prod aux secret?", "raw_text": "Do I have the prod aux secret?", "start_time": 3558.88, "end_time": 3562.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 744, "text": "What's organization Credential key.", "raw_text": "What's organization Credential key.", "start_time": 3565.02, "end_time": 3567.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 745, "text": "I added that.", "raw_text": "I added that.", "start_time": 3567.82, "end_time": 3568.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 746, "text": "I was trying.", "raw_text": "I was trying.", "start_time": 3569.74, "end_time": 3570.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 747, "text": "That was.", "raw_text": "That was.", "start_time": 3570.54, "end_time": 3571.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 748, "text": "I just added it.", "raw_text": "I just added it.", "start_time": 3571.02, "end_time": 3571.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 749, "text": "We got a handful of environment variables you could probably consolidate.", "raw_text": "We got a handful of environment variables you could probably consolidate.", "start_time": 3577.9, "end_time": 3581.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 750, "text": "Yeah, there's a lot of them.", "raw_text": "Yeah, there's a lot of them.", "start_time": 3582.22, "end_time": 3583.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 751, "text": "I look in there, I'm like internal API key or credential integration?", "raw_text": "I look in there, I'm like internal API key or credential integration?", "start_time": 3584.06, "end_time": 3589.67, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 752, "text": "Credential key.", "raw_text": "Credential key.", "start_time": 3589.67, "end_time": 3590.63, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 753, "text": "I don't see the internal anymore.", "raw_text": "I don't see the internal anymore.", "start_time": 3594.63, "end_time": 3596.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 754, "text": "That's probably not good.", "raw_text": "That's probably not good.", "start_time": 3598.23, "end_time": 3599.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 755, "text": "I think we need that one.", "raw_text": "I think we need that one.", "start_time": 3599.23, "end_time": 3600.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 756, "text": "I didn't update that one.", "raw_text": "I didn't update that one.", "start_time": 3602.63, "end_time": 3604.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 757, "text": "That one hasn't been touched since March 16.", "raw_text": "That one hasn't been touched since March 16.", "start_time": 3604.03, "end_time": 3606.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 758, "text": "The auth secret and up is when the the or the messing with started happening.", "raw_text": "The auth secret and up is when the the or the messing with started happening.", "start_time": 3606.39, "end_time": 3611.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 759, "text": "I'm just going to get rid of this.", "raw_text": "I'm just going to get rid of this.", "start_time": 3611.51, "end_time": 3612.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 760, "text": "Org key one.", "raw_text": "Org key one.", "start_time": 3612.67, "end_time": 3613.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 761, "text": "This prompt label one's fine.", "raw_text": "This prompt label one's fine.", "start_time": 3613.51, "end_time": 3615.11, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 762, "text": "The next public app URL, I might have messed that up.", "raw_text": "The next public app URL, I might have messed that up.", "start_time": 3615.82, "end_time": 3618.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 763, "text": "And then mostly it's just Postgres stuff, which I think I can just go fix from postgres because I have the database.", "raw_text": "And then mostly it's just Postgres stuff, which I think I can just go fix from postgres because I have the database.", "start_time": 3618.5, "end_time": 3624.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 764, "text": "I think I should be able to just manually put this all back in a minute.", "raw_text": "I think I should be able to just manually put this all back in a minute.", "start_time": 3624.66, "end_time": 3630.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 765, "text": "I'm just trying to see where.", "raw_text": "I'm just trying to see where.", "start_time": 3631.34, "end_time": 3632.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 766, "text": "Where the.", "raw_text": "Where the.", "start_time": 3632.38, "end_time": 3632.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 767, "text": "Stat.", "raw_text": "Stat.", "start_time": 3632.82, "end_time": 3633.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 768, "text": "I'm just trying to.", "raw_text": "I'm just trying to.", "start_time": 3633.26, "end_time": 3633.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 769, "text": "I'm just gonna start putting them back.", "raw_text": "I'm just gonna start putting them back.", "start_time": 3633.94, "end_time": 3635.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 770, "text": "I'm just trying to understand like why it was like that.", "raw_text": "I'm just trying to understand like why it was like that.", "start_time": 3635.02, "end_time": 3637.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 771, "text": "Next public edit.", "raw_text": "Next public edit.", "start_time": 3651.19, "end_time": 3653.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 772, "text": "See, I don't know.", "raw_text": "See, I don't know.", "start_time": 3654.15, "end_time": 3654.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 773, "text": "Justin, when you're looking at the shared keys, can you go to the environments thing and then where it says production, preview and demo, like, can you change that?", "raw_text": "Justin, when you're looking at the shared keys, can you go to the environments thing and then where it says production, preview and demo, like, can you change that?", "start_time": 3654.99, "end_time": 3661.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 774, "text": "Mine just gives me like, I can't.", "raw_text": "Mine just gives me like, I can't.", "start_time": 3661.63, "end_time": 3663.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 775, "text": "It gives me like, I can't change that.", "raw_text": "It gives me like, I can't change that.", "start_time": 3663.23, "end_time": 3664.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 776, "text": "Like I don't know how I'm supposed to change the demo ones.", "raw_text": "Like I don't know how I'm supposed to change the demo ones.", "start_time": 3664.79, "end_time": 3666.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 777, "text": "I see no shared variables.", "raw_text": "I see no shared variables.", "start_time": 3670.57, "end_time": 3672.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 778, "text": "Linked What?", "raw_text": "Linked What?", "start_time": 3672.65, "end_time": 3675.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 779, "text": "I can change the drop down by.", "raw_text": "I can change the drop down by.", "start_time": 3677.69, "end_time": 3679.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 780, "text": "I don't see anything in there.", "raw_text": "I don't see anything in there.", "start_time": 3679.37, "end_time": 3680.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 781, "text": "Where's my screen share?", "raw_text": "Where's my screen share?", "start_time": 3683.21, "end_time": 3685.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 782, "text": "Here, I'll show you.", "raw_text": "Here, I'll show you.", "start_time": 3686.65, "end_time": 3687.69, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 783, "text": "So like when I go environments, this is in demo.", "raw_text": "So like when I go environments, this is in demo.", "start_time": 3688.97, "end_time": 3692.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 784, "text": "These like postgres, host, production, preview and demo.", "raw_text": "These like postgres, host, production, preview and demo.", "start_time": 3692.66, "end_time": 3696.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 785, "text": "And then I can't like change the drop down.", "raw_text": "And then I can't like change the drop down.", "start_time": 3696.58, "end_time": 3698.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 786, "text": "Because now if I go production.", "raw_text": "Because now if I go production.", "start_time": 3703.38, "end_time": 3706.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 787, "text": "Well, go to environment variables.", "raw_text": "Well, go to environment variables.", "start_time": 3707.54, "end_time": 3709.3, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 788, "text": "Oh, you're there.", "raw_text": "Oh, you're there.", "start_time": 3709.38, "end_time": 3710.06, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 789, "text": "Now go.", "raw_text": "Now go.", "start_time": 3710.06, "end_time": 3710.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 790, "text": "Just go to the variables section.", "raw_text": "Just go to the variables section.", "start_time": 3710.5, "end_time": 3711.94, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 791, "text": "Well, I was in.", "raw_text": "Well, I was in.", "start_time": 3712.1, "end_time": 3713.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 792, "text": "Oh, if you go to shared, I don't see anything shared.", "raw_text": "Oh, if you go to shared, I don't see anything shared.", "start_time": 3713.38, "end_time": 3716.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 793, "text": "Yeah, that's true.", "raw_text": "Yeah, that's true.", "start_time": 3719.87, "end_time": 3720.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 794, "text": "I guess it's just project.", "raw_text": "I guess it's just project.", "start_time": 3720.63, "end_time": 3722.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 795, "text": "It's shared within the project.", "raw_text": "It's shared within the project.", "start_time": 3722.91, "end_time": 3724.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 796, "text": "Oh, are you kidding me?", "raw_text": "Oh, are you kidding me?", "start_time": 3725.31, "end_time": 3726.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 797, "text": "Can I go change these in here?", "raw_text": "Can I go change these in here?", "start_time": 3726.51, "end_time": 3727.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 798, "text": "I wonder if I can change it here.", "raw_text": "I wonder if I can change it here.", "start_time": 3727.59, "end_time": 3728.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 799, "text": "Why did this not let me change it in there?", "raw_text": "Why did this not let me change it in there?", "start_time": 3730.11, "end_time": 3731.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 800, "text": "I guess I should have just been in this screen.", "raw_text": "I guess I should have just been in this screen.", "start_time": 3731.99, "end_time": 3733.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 801, "text": "That's interesting.", "raw_text": "That's interesting.", "start_time": 3736.27, "end_time": 3737.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 802, "text": "All right,.", "raw_text": "All right,.", "start_time": 3749.64, "end_time": 3750.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 803, "text": "All right.", "raw_text": "All right.", "start_time": 3754.04, "end_time": 3754.48, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 804, "text": "What do you want to talk through on this next meeting?", "raw_text": "What do you want to talk through on this next meeting?", "start_time": 3754.48, "end_time": 3756.44, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 805, "text": "Let me find it.", "raw_text": "Let me find it.", "start_time": 3759.72, "end_time": 3760.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 806, "text": "We want to switch Fireflies.", "raw_text": "We want to switch Fireflies.", "start_time": 3763.72, "end_time": 3765.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 807, "text": "If you want to.", "raw_text": "If you want to.", "start_time": 3768.28, "end_time": 3769.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 808, "text": "I don't care though.", "raw_text": "I don't care though.", "start_time": 3769.08, "end_time": 3769.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 809, "text": "I guess it doesn't really matter.", "raw_text": "I guess it doesn't really matter.", "start_time": 3770.39, "end_time": 3771.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 810, "text": "Let me find which one of my Chrome tabs it's on.", "raw_text": "Let me find which one of my Chrome tabs it's on.", "start_time": 3778.15, "end_time": 3780.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 811, "text": "Foreign.", "raw_text": "Foreign.", "start_time": 3795.68, "end_time": 3796.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 812, "text": "Basically, we had our effort impact from last week and I grabbed all of that.", "raw_text": "Basically, we had our effort impact from last week and I grabbed all of that.", "start_time": 3805.36, "end_time": 3813.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 813, "text": "This.", "raw_text": "This.", "start_time": 3813.2, "end_time": 3813.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 814, "text": "This part doesn't really matter as much, but I think I touched on this in the last meeting and I was.", "raw_text": "This part doesn't really matter as much, but I think I touched on this in the last meeting and I was.", "start_time": 3813.56, "end_time": 3820.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 815, "text": "Yeah, I guess it'd be interesting if you already just started building these out into foundation.", "raw_text": "Yeah, I guess it'd be interesting if you already just started building these out into foundation.", "start_time": 3820.24, "end_time": 3823.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 816, "text": "But I think we talked about in standup, it seems like we could basically group.", "raw_text": "But I think we talked about in standup, it seems like we could basically group.", "start_time": 3823.76, "end_time": 3828.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 817, "text": "So if I look at the grid, the only one that I didn't grab of our 21 use cases was recruiting, I just left that aside.", "raw_text": "So if I look at the grid, the only one that I didn't grab of our 21 use cases was recruiting, I just left that aside.", "start_time": 3828.52, "end_time": 3835.24, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 818, "text": "But the rest of them I broke into four systems.", "raw_text": "But the rest of them I broke into four systems.", "start_time": 3835.48, "end_time": 3838.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 819, "text": "The four systems, the categories I basically placed them in were deal intelligence, engine which would include like discovery, pre call, lead gen campaigns, content generation, estimating and arrangement letters and then the project operation hub which would be the.", "raw_text": "The four systems, the categories I basically placed them in were deal intelligence, engine which would include like discovery, pre call, lead gen campaigns, content generation, estimating and arrangement letters and then the project operation hub which would be the.", "start_time": 3840.12, "end_time": 3858.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 820, "text": "This is a lot of like Sam stuff.", "raw_text": "This is a lot of like Sam stuff.", "start_time": 3858.24, "end_time": 3860.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 821, "text": "So the project summaries, project schedules, change orders, customer project context, the project tracking, squad performance and KPIs.", "raw_text": "So the project summaries, project schedules, change orders, customer project context, the project tracking, squad performance and KPIs.", "start_time": 3860.08, "end_time": 3869.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 822, "text": "So that was kind of like the stuff Sam's been working on.", "raw_text": "So that was kind of like the stuff Sam's been working on.", "start_time": 3870.16, "end_time": 3872.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 823, "text": "The third one would be the business operations which I guess system one's kind of closest to like what Christopher has with some of the Paul stuff he asked for.", "raw_text": "The third one would be the business operations which I guess system one's kind of closest to like what Christopher has with some of the Paul stuff he asked for.", "start_time": 3873.84, "end_time": 3882.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 824, "text": "And then system three would be business operations.", "raw_text": "And then system three would be business operations.", "start_time": 3883.45, "end_time": 3887.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 825, "text": "So this would be more so into like the staff planning, QBRs, forecasting.", "raw_text": "So this would be more so into like the staff planning, QBRs, forecasting.", "start_time": 3887.21, "end_time": 3892.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 826, "text": "I don't know if security governance necessarily fits in this one maybe and invoice invoicing.", "raw_text": "I don't know if security governance necessarily fits in this one maybe and invoice invoicing.", "start_time": 3892.65, "end_time": 3897.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 827, "text": "And then the fourth one would be like the spark harness engineering stuff that we kind of left or if we want to do like self service portal.", "raw_text": "And then the fourth one would be like the spark harness engineering stuff that we kind of left or if we want to do like self service portal.", "start_time": 3899.129, "end_time": 3905.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 828, "text": "But I try to, I felt like we could, we could reconsolidate what we talked about into like four streams of stuff we build.", "raw_text": "But I try to, I felt like we could, we could reconsolidate what we talked about into like four streams of stuff we build.", "start_time": 3906.41, "end_time": 3912.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 829, "text": "Yeah, I like that.", "raw_text": "Yeah, I like that.", "start_time": 3913.61, "end_time": 3914.49, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 830, "text": "I guess there's a few ways we could go about like the meeting time.", "raw_text": "I guess there's a few ways we could go about like the meeting time.", "start_time": 3919.69, "end_time": 3922.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 831, "text": "But what I imagined is I tried to sort these by like integrations as well as like phases.", "raw_text": "But what I imagined is I tried to sort these by like integrations as well as like phases.", "start_time": 3922.97, "end_time": 3929.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 832, "text": "So I have, I have like a, a page here for each of the four that we can talk through.", "raw_text": "So I have, I have like a, a page here for each of the four that we can talk through.", "start_time": 3929.69, "end_time": 3935.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 833, "text": "Then some like the shared infrastructure, some questions and then if we, if we wanted to build it into foundation.", "raw_text": "Then some like the shared infrastructure, some questions and then if we, if we wanted to build it into foundation.", "start_time": 3935.29, "end_time": 3941.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 834, "text": "I'm trying to think if I have.", "raw_text": "I'm trying to think if I have.", "start_time": 3942.42, "end_time": 3943.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 835, "text": "Okay, so for each of these pages, zoom in on this.", "raw_text": "Okay, so for each of these pages, zoom in on this.", "start_time": 3943.9, "end_time": 3949.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 836, "text": "Basically I imagined us building these out in three phases.", "raw_text": "Basically I imagined us building these out in three phases.", "start_time": 3950.18, "end_time": 3954.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 837, "text": "Now potentially we could skip to phase three, but it kind of depends on how we want to prioritize these.", "raw_text": "Now potentially we could skip to phase three, but it kind of depends on how we want to prioritize these.", "start_time": 3954.18, "end_time": 3959.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 838, "text": "Is it like do all of them in the phase and kind of get like a champion for them or how we want to break those out?", "raw_text": "Is it like do all of them in the phase and kind of get like a champion for them or how we want to break those out?", "start_time": 3959.66, "end_time": 3966.02, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 839, "text": "But kind of what we talked about or what I was imagining is like phase one or like the first step for any of these processes is like it could be a local agent or just essentially what can we get out of tools that we already have that we don't have to build?", "raw_text": "But kind of what we talked about or what I was imagining is like phase one or like the first step for any of these processes is like it could be a local agent or just essentially what can we get out of tools that we already have that we don't have to build?", "start_time": 3966.51, "end_time": 3979.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 840, "text": "So what are we already doing?", "raw_text": "So what are we already doing?", "start_time": 3979.87, "end_time": 3981.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 841, "text": "Like for instance Jared and openclaw for Christopher or the like claw desktop cowork stuff that Sam's doing or like basically what, what are we already doing that we don't have to build to get as much Use out of these and kind of into how.", "raw_text": "Like for instance Jared and openclaw for Christopher or the like claw desktop cowork stuff that Sam's doing or like basically what, what are we already doing that we don't have to build to get as much Use out of these and kind of into how.", "start_time": 3981.15, "end_time": 3996.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 842, "text": "And then expanding into like how well can we make one person at this stuff?", "raw_text": "And then expanding into like how well can we make one person at this stuff?", "start_time": 3996.5, "end_time": 4000.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 843, "text": "And then the second step was kind of what we refer to like if we just opened up like an S3 bucket and a database and a dashboard to just like throw the stuff in into a shared location or SharePoint for instance.", "raw_text": "And then the second step was kind of what we refer to like if we just opened up like an S3 bucket and a database and a dashboard to just like throw the stuff in into a shared location or SharePoint for instance.", "start_time": 4001.3, "end_time": 4015.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 844, "text": "And then we have multiple people be able to do what the one person was doing is kind of what like middle phases would be.", "raw_text": "And then we have multiple people be able to do what the one person was doing is kind of what like middle phases would be.", "start_time": 4015.38, "end_time": 4022.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 845, "text": "And then the end goal for most of the projects, maybe not all of them, but like if we put it in the foundation or essentially like phase three, be like production, anyone across the company who needs to be in it can use it.", "raw_text": "And then the end goal for most of the projects, maybe not all of them, but like if we put it in the foundation or essentially like phase three, be like production, anyone across the company who needs to be in it can use it.", "start_time": 4022.45, "end_time": 4033.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 846, "text": "And I think what a lot of the phase three looks like for these is like the integration set up with workflows in foundation and then a first party app built out in foundation with a dashboard that we can use for anyone needing to use it.", "raw_text": "And I think what a lot of the phase three looks like for these is like the integration set up with workflows in foundation and then a first party app built out in foundation with a dashboard that we can use for anyone needing to use it.", "start_time": 4033.89, "end_time": 4047.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 847, "text": "Plus rbac.", "raw_text": "Plus rbac.", "start_time": 4047.66, "end_time": 4048.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 848, "text": "Yep.", "raw_text": "Yep.", "start_time": 4049.86, "end_time": 4050.42, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 849, "text": "Yeah, I think that makes sense.", "raw_text": "Yeah, I think that makes sense.", "start_time": 4052.1, "end_time": 4054.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 850, "text": "I think.", "raw_text": "I think.", "start_time": 4054.26, "end_time": 4054.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 851, "text": "Like, I don't think we should be pushing anything on local agent.", "raw_text": "Like, I don't think we should be pushing anything on local agent.", "start_time": 4059.78, "end_time": 4064.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 852, "text": "Like if someone hasn't.", "raw_text": "Like if someone hasn't.", "start_time": 4064.22, "end_time": 4065.54, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 853, "text": "Well, I don't know.", "raw_text": "Well, I don't know.", "start_time": 4069.3, "end_time": 4070.06, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 854, "text": "I guess there could be training on that.", "raw_text": "I guess there could be training on that.", "start_time": 4070.06, "end_time": 4071.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 855, "text": "But to me, like if someone, if we train someone on Cowork and Open Claw and they have a foundation MCP and or just like off the shelf mcps, we could just be like a sounding board or like a support system for those.", "raw_text": "But to me, like if someone, if we train someone on Cowork and Open Claw and they have a foundation MCP and or just like off the shelf mcps, we could just be like a sounding board or like a support system for those.", "start_time": 4076.31, "end_time": 4097.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 856, "text": "Yeah, our core group needs to be like actively leading any dev, like for actual use cases in that realm.", "raw_text": "Yeah, our core group needs to be like actively leading any dev, like for actual use cases in that realm.", "start_time": 4101.52, "end_time": 4108.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 857, "text": "Yeah, I agree.", "raw_text": "Yeah, I agree.", "start_time": 4110.08, "end_time": 4110.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 858, "text": "I mean, yeah, one of the questions would be too is like, yeah, we just let people figure that out and then see what they do.", "raw_text": "I mean, yeah, one of the questions would be too is like, yeah, we just let people figure that out and then see what they do.", "start_time": 4110.84, "end_time": 4116.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 859, "text": "Or we want a case study or I don't know, it almost gets into like, okay, if we're going to build these into a workflow builder, like this is almost like the, this is like a fat note and then this is like full workflow eventually.", "raw_text": "Or we want a case study or I don't know, it almost gets into like, okay, if we're going to build these into a workflow builder, like this is almost like the, this is like a fat note and then this is like full workflow eventually.", "start_time": 4116.92, "end_time": 4127.579, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 860, "text": "So yeah, I guess it's how we want to go about just figuring that beginning part out.", "raw_text": "So yeah, I guess it's how we want to go about just figuring that beginning part out.", "start_time": 4127.579, "end_time": 4132.379, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 861, "text": "And maybe what makes sense with like you, me and Murph is we just skip to phase three and just, and just build it.", "raw_text": "And maybe what makes sense with like you, me and Murph is we just skip to phase three and just, and just build it.", "start_time": 4132.539, "end_time": 4139.659, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 862, "text": "But then the question is like how long is that going to take to get it like reliable?", "raw_text": "But then the question is like how long is that going to take to get it like reliable?", "start_time": 4139.659, "end_time": 4142.699, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 863, "text": "If we could have just been making a bunch of product, like I feel like there's lower effort unlocks that happen up the chain here that would like help the team out as opposed to us just trying to build everything in foundation.", "raw_text": "If we could have just been making a bunch of product, like I feel like there's lower effort unlocks that happen up the chain here that would like help the team out as opposed to us just trying to build everything in foundation.", "start_time": 4142.699, "end_time": 4152.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 864, "text": "Yeah, I mean, I, I don't think.", "raw_text": "Yeah, I mean, I, I don't think.", "start_time": 4154.91, "end_time": 4156.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 865, "text": "I guess my point is like we don't have to actually build anything for phase one.", "raw_text": "I guess my point is like we don't have to actually build anything for phase one.", "start_time": 4156.75, "end_time": 4161.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 866, "text": "Unless they need some special MCP or something for foundation.", "raw_text": "Unless they need some special MCP or something for foundation.", "start_time": 4161.95, "end_time": 4166.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 867, "text": "It's just more of us like meeting and like coaching them or like, I guess training on how you could get it working and co work or something off the shelf or.", "raw_text": "It's just more of us like meeting and like coaching them or like, I guess training on how you could get it working and co work or something off the shelf or.", "start_time": 4166.99, "end_time": 4182.509, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 868, "text": "May already work.", "raw_text": "May already work.", "start_time": 4182.509, "end_time": 4183.309, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 869, "text": "It may just already work in foundation as well.", "raw_text": "It may just already work in foundation as well.", "start_time": 4183.309, "end_time": 4185.629, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 870, "text": "I agree.", "raw_text": "I agree.", "start_time": 4186.749, "end_time": 4187.309, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 871, "text": "I actually think.", "raw_text": "I actually think.", "start_time": 4187.389, "end_time": 4188.349, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 872, "text": "Yeah, I think you're on there.", "raw_text": "Yeah, I think you're on there.", "start_time": 4188.349, "end_time": 4189.389, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 873, "text": "I see what you mean.", "raw_text": "I see what you mean.", "start_time": 4189.389, "end_time": 4190.069, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 874, "text": "But yeah, I don't think we have to build anything for phase one.", "raw_text": "But yeah, I don't think we have to build anything for phase one.", "start_time": 4190.069, "end_time": 4192.029, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 875, "text": "Like, it's just like, okay, what phase one is basically what can we do without building anything?", "raw_text": "Like, it's just like, okay, what phase one is basically what can we do without building anything?", "start_time": 4192.029, "end_time": 4196.829, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 876, "text": "But I do think that still involves us like meeting with the stakeholder and then like helping them set up and then letting them get like lessons learned from like the limitations on cowork as we try to figure out like how to build from there or like integrate.", "raw_text": "But I do think that still involves us like meeting with the stakeholder and then like helping them set up and then letting them get like lessons learned from like the limitations on cowork as we try to figure out like how to build from there or like integrate.", "start_time": 4196.829, "end_time": 4211.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 877, "text": "Yeah, yep, that all makes sense.", "raw_text": "Yeah, yep, that all makes sense.", "start_time": 4212.42, "end_time": 4217.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 878, "text": "So then I guess I have here for like each of the four groupings.", "raw_text": "So then I guess I have here for like each of the four groupings.", "start_time": 4220.82, "end_time": 4225.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 879, "text": "I try to put through like user stories of how I imagine these going and then into like, okay, if we build this out, what integrations do we need to get this whole thing going?", "raw_text": "I try to put through like user stories of how I imagine these going and then into like, okay, if we build this out, what integrations do we need to get this whole thing going?", "start_time": 4225.78, "end_time": 4235.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 880, "text": "And then we could just start building out like a dashboard to be able to use these.", "raw_text": "And then we could just start building out like a dashboard to be able to use these.", "start_time": 4235.59, "end_time": 4239.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 881, "text": "I don't think that would be that hard to do.", "raw_text": "I don't think that would be that hard to do.", "start_time": 4239.67, "end_time": 4241.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 882, "text": "But I guess before going into that, like does that.", "raw_text": "But I guess before going into that, like does that.", "start_time": 4242.87, "end_time": 4246.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 883, "text": "I guess I don't know what the next steps would be like working backwards from here.", "raw_text": "I guess I don't know what the next steps would be like working backwards from here.", "start_time": 4246.31, "end_time": 4249.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 884, "text": "I mean we could basically pitch this as like an app or.", "raw_text": "I mean we could basically pitch this as like an app or.", "start_time": 4249.71, "end_time": 4255.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 885, "text": "So far what we did was just talk about all the things that need like AI editing.", "raw_text": "So far what we did was just talk about all the things that need like AI editing.", "start_time": 4255.67, "end_time": 4259.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 886, "text": "And that's basically what we did here on these big bets.", "raw_text": "And that's basically what we did here on these big bets.", "start_time": 4259.4, "end_time": 4261.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 887, "text": "And like we want to do spark, I guess the do first zone we talked about like Discovery Prep, QBRs, change orders.", "raw_text": "And like we want to do spark, I guess the do first zone we talked about like Discovery Prep, QBRs, change orders.", "start_time": 4261.8, "end_time": 4270.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 888, "text": "You got like a script here, client project there.", "raw_text": "You got like a script here, client project there.", "start_time": 4270.8, "end_time": 4274.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 889, "text": "It's like just start like hacking away at these or I'm curious, like these, all these like blue ones, like the project ops.", "raw_text": "It's like just start like hacking away at these or I'm curious, like these, all these like blue ones, like the project ops.", "start_time": 4274.04, "end_time": 4282.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 890, "text": "Like if we wanted to do arrangement letters and scheduling, like, do we want to just start building pipelines that are more like universal or like maybe one of us want to wants to split that up or.", "raw_text": "Like if we wanted to do arrangement letters and scheduling, like, do we want to just start building pipelines that are more like universal or like maybe one of us want to wants to split that up or.", "start_time": 4282.64, "end_time": 4294.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 891, "text": "So in the low effort ones.", "raw_text": "So in the low effort ones.", "start_time": 4298.56, "end_time": 4300.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 892, "text": "Yeah, I guess my.", "raw_text": "Yeah, I guess my.", "start_time": 4310.24, "end_time": 4313.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 893, "text": "To rephrase my thoughts and not a question, but like a statement of like, for instance, project summaries.", "raw_text": "To rephrase my thoughts and not a question, but like a statement of like, for instance, project summaries.", "start_time": 4316.01, "end_time": 4322.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 894, "text": "That's a low one.", "raw_text": "That's a low one.", "start_time": 4322.73, "end_time": 4323.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 895, "text": "This one's easy to walk through.", "raw_text": "This one's easy to walk through.", "start_time": 4323.93, "end_time": 4325.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 896, "text": "So like if we want to integrate to like fireflies linear and toggle, like send these summaries out.", "raw_text": "So like if we want to integrate to like fireflies linear and toggle, like send these summaries out.", "start_time": 4325.21, "end_time": 4330.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 897, "text": "Like right now if I were to do this, I mean I would just use my cloud MCP and like that's how I would would upgrade linear.", "raw_text": "Like right now if I were to do this, I mean I would just use my cloud MCP and like that's how I would would upgrade linear.", "start_time": 4330.97, "end_time": 4337.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 898, "text": "So like we have that phase ones built out but there's no like diffusion of it across like the team.", "raw_text": "So like we have that phase ones built out but there's no like diffusion of it across like the team.", "start_time": 4337.96, "end_time": 4343.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 899, "text": "Like it's not consistent.", "raw_text": "Like it's not consistent.", "start_time": 4343.08, "end_time": 4344.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 900, "text": "Like I know like, like if is like Mitch and Learned and the other squad members like all doing it that way or like Buzzy, like I know Buzzy probably is and like you guys do.", "raw_text": "Like I know like, like if is like Mitch and Learned and the other squad members like all doing it that way or like Buzzy, like I know Buzzy probably is and like you guys do.", "start_time": 4344.16, "end_time": 4355.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 901, "text": "So then it's like do we want to just enforce like across the board?", "raw_text": "So then it's like do we want to just enforce like across the board?", "start_time": 4355.08, "end_time": 4359.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 902, "text": "Do we want to approach it like we have these four systems we want to focus on.", "raw_text": "Do we want to approach it like we have these four systems we want to focus on.", "start_time": 4359.96, "end_time": 4364.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 903, "text": "Let's take a minute and just teach everyone phase one and get everyone trying to automate things so they can help us with the next couple phases.", "raw_text": "Let's take a minute and just teach everyone phase one and get everyone trying to automate things so they can help us with the next couple phases.", "start_time": 4364.56, "end_time": 4372, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 904, "text": "Or are we taking the approach of everyone just figure out how to use cloud code on your own.", "raw_text": "Or are we taking the approach of everyone just figure out how to use cloud code on your own.", "start_time": 4372.4, "end_time": 4377.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 905, "text": "You're on your own for phase one.", "raw_text": "You're on your own for phase one.", "start_time": 4377.12, "end_time": 4378.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 906, "text": "We're just going to start building like phase two or phase three because that's where the dev time goes.", "raw_text": "We're just going to start building like phase two or phase three because that's where the dev time goes.", "start_time": 4378.64, "end_time": 4383.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 907, "text": "Like I think it would probably make the most sense to come through with like these user stories and then go to the people doing them.", "raw_text": "Like I think it would probably make the most sense to come through with like these user stories and then go to the people doing them.", "start_time": 4383.12, "end_time": 4390.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 908, "text": "Like we would if we were actually like selling software and just sit in phase one though and just like, like I. I'll sit down with Paul or and then Jeff and then Christopher and just like here's all the stuff you should do in cowork and like try these different scripts and like do that for a couple weeks before we actually try to build stuff.", "raw_text": "Like we would if we were actually like selling software and just sit in phase one though and just like, like I. I'll sit down with Paul or and then Jeff and then Christopher and just like here's all the stuff you should do in cowork and like try these different scripts and like do that for a couple weeks before we actually try to build stuff.", "start_time": 4390.62, "end_time": 4406.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 909, "text": "Is that like a feasible next steps or like how do you, how do you think about it?", "raw_text": "Is that like a feasible next steps or like how do you, how do you think about it?", "start_time": 4406.54, "end_time": 4410.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 910, "text": "Well for like I don't know, I always, I think for like project ops that should be up to Sam I guess to roll out to his.", "raw_text": "Well for like I don't know, I always, I think for like project ops that should be up to Sam I guess to roll out to his.", "start_time": 4416.15, "end_time": 4428.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 911, "text": "To everyone in the company.", "raw_text": "To everyone in the company.", "start_time": 4428.07, "end_time": 4429.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 912, "text": "A universal way to do it.", "raw_text": "A universal way to do it.", "start_time": 4429.51, "end_time": 4431.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 913, "text": "And we should just be supporting him in phase one.", "raw_text": "And we should just be supporting him in phase one.", "start_time": 4432.63, "end_time": 4435.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 914, "text": "In the phase one bucket.", "raw_text": "In the phase one bucket.", "start_time": 4435.83, "end_time": 4437.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 915, "text": "Like what's he need?", "raw_text": "Like what's he need?", "start_time": 4437.27, "end_time": 4438.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 916, "text": "Yeah, I think that categorize by like individual owners.", "raw_text": "Yeah, I think that categorize by like individual owners.", "start_time": 4439.27, "end_time": 4443.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 917, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4443.95, "end_time": 4444.39, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 918, "text": "Which I think we kind of.", "raw_text": "Which I think we kind of.", "start_time": 4444.39, "end_time": 4445.63, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 919, "text": "You kind of already have.", "raw_text": "You kind of already have.", "start_time": 4445.79, "end_time": 4446.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 920, "text": "Right?", "raw_text": "Right?", "start_time": 4446.83, "end_time": 4447.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 921, "text": "Like supporting it that way.", "raw_text": "Like supporting it that way.", "start_time": 4447.31, "end_time": 4448.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 922, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4448.67, "end_time": 4449.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 923, "text": "However they want to operate them.", "raw_text": "However they want to operate them.", "start_time": 4449.55, "end_time": 4451.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 924, "text": "So deal intel would be.", "raw_text": "So deal intel would be.", "start_time": 4452.91, "end_time": 4454.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 925, "text": "Where do you have like marketing content?", "raw_text": "Where do you have like marketing content?", "start_time": 4457.39, "end_time": 4459.07, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 926, "text": "I guess that's the gap really.", "raw_text": "I guess that's the gap really.", "start_time": 4459.47, "end_time": 4460.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 927, "text": "Like no one really does that.", "raw_text": "Like no one really does that.", "start_time": 4461.71, "end_time": 4463.23, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 928, "text": "We know.", "raw_text": "We know.", "start_time": 4466.59, "end_time": 4467.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 929, "text": "Look here.", "raw_text": "Look here.", "start_time": 4467.39, "end_time": 4468.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 930, "text": "Okay, which one market was that?", "raw_text": "Okay, which one market was that?", "start_time": 4469.46, "end_time": 4470.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 931, "text": "Campaigns.", "raw_text": "Campaigns.", "start_time": 4470.9, "end_time": 4471.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 932, "text": "No, right here.", "raw_text": "No, right here.", "start_time": 4471.86, "end_time": 4472.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 933, "text": "Content generation.", "raw_text": "Content generation.", "start_time": 4472.94, "end_time": 4473.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 934, "text": "Marketing.", "raw_text": "Marketing.", "start_time": 4473.94, "end_time": 4474.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 935, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4475.06, "end_time": 4475.46, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 936, "text": "Blue D. Deal Intel Content gen.", "raw_text": "Blue D. Deal Intel Content gen.", "start_time": 4475.46, "end_time": 4479.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 937, "text": "So software before because like this.", "raw_text": "So software before because like this.", "start_time": 4484.099, "end_time": 4489.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 938, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4489.42, "end_time": 4489.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 939, "text": "Like some of these use cases are useful.", "raw_text": "Like some of these use cases are useful.", "start_time": 4489.78, "end_time": 4491.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 940, "text": "We could do LinkedIn, Legion research, discovery Call.", "raw_text": "We could do LinkedIn, Legion research, discovery Call.", "start_time": 4494.75, "end_time": 4498.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 941, "text": "Discovery Call Draft.", "raw_text": "Discovery Call Draft.", "start_time": 4498.43, "end_time": 4500.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 942, "text": "I mean that's the thing too with.", "raw_text": "I mean that's the thing too with.", "start_time": 4500.79, "end_time": 4502.19, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 943, "text": "I was thinking about using remotion for some of the marketing side of things.", "raw_text": "I was thinking about using remotion for some of the marketing side of things.", "start_time": 4502.51, "end_time": 4506.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 944, "text": "But we Also have like vivid Front.", "raw_text": "But we Also have like vivid Front.", "start_time": 4506.95, "end_time": 4508.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 945, "text": "So I mean, what do we want to do for marketing?", "raw_text": "So I mean, what do we want to do for marketing?", "start_time": 4508.43, "end_time": 4514.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 946, "text": "Like, I like just create more videos and then like send them to Paul because I know we're not doing ad campaigns.", "raw_text": "Like, I like just create more videos and then like send them to Paul because I know we're not doing ad campaigns.", "start_time": 4514.27, "end_time": 4520.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 947, "text": "So, like, we just wanted to start putting out blog posts or is that like figure out the strategy as well?", "raw_text": "So, like, we just wanted to start putting out blog posts or is that like figure out the strategy as well?", "start_time": 4520.47, "end_time": 4527.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 948, "text": "I think figure out strategy as well.", "raw_text": "I think figure out strategy as well.", "start_time": 4530.2, "end_time": 4532.12, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 949, "text": "I mean, naively I would say blogs and videos, but I don't know if that's true.", "raw_text": "I mean, naively I would say blogs and videos, but I don't know if that's true.", "start_time": 4534.04, "end_time": 4539.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 950, "text": "Yeah, I guess phase one is like.", "raw_text": "Yeah, I guess phase one is like.", "start_time": 4543, "end_time": 4544.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 951, "text": "And then when you say the other thing, I guess that like, if we were to start doing marketing, is it like.", "raw_text": "And then when you say the other thing, I guess that like, if we were to start doing marketing, is it like.", "start_time": 4544.76, "end_time": 4550.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 952, "text": "I guess it would be more than marketing, but like foundation focused.", "raw_text": "I guess it would be more than marketing, but like foundation focused.", "start_time": 4550.25, "end_time": 4553.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 953, "text": "Because the thought was like, get this demo environment set up and just start cranking out videos there.", "raw_text": "Because the thought was like, get this demo environment set up and just start cranking out videos there.", "start_time": 4553.25, "end_time": 4557.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 954, "text": "And then we could either hand them off to Vivid front or own them.", "raw_text": "And then we could either hand them off to Vivid front or own them.", "start_time": 4557.33, "end_time": 4562.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 955, "text": "Or I guess like, if you wanted, I could just start doing like blog.", "raw_text": "Or I guess like, if you wanted, I could just start doing like blog.", "start_time": 4562.01, "end_time": 4565.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 956, "text": "It wouldn't be hard to just start automating a thing that writes blog posts right now.", "raw_text": "It wouldn't be hard to just start automating a thing that writes blog posts right now.", "start_time": 4565.81, "end_time": 4569.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 957, "text": "Like a script that's like, here's the topic, here's our voice.", "raw_text": "Like a script that's like, here's the topic, here's our voice.", "start_time": 4569.33, "end_time": 4572.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 958, "text": "Spit out a blog post.", "raw_text": "Spit out a blog post.", "start_time": 4572.93, "end_time": 4574.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 959, "text": "I just like, I don't know what's generating, where that content goes.", "raw_text": "I just like, I don't know what's generating, where that content goes.", "start_time": 4574.17, "end_time": 4578.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 960, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4582.84, "end_time": 4583.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 961, "text": "I think we could either have vivid front, like triage it, or we could just go direct to the website.", "raw_text": "I think we could either have vivid front, like triage it, or we could just go direct to the website.", "start_time": 4583.56, "end_time": 4594.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 962, "text": "If we triage it ourselves.", "raw_text": "If we triage it ourselves.", "start_time": 4596.92, "end_time": 4598.76, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 963, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 4642.78, "end_time": 4642.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 964, "text": "I mean, I would say all the low effort, high impact.", "raw_text": "I mean, I would say all the low effort, high impact.", "start_time": 4642.98, "end_time": 4650.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 965, "text": "That more than one person could benefit from, we should build in as like phase two, Phase three.", "raw_text": "That more than one person could benefit from, we should build in as like phase two, Phase three.", "start_time": 4658.63, "end_time": 4665.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 966, "text": "Yeah, I mean, I feel like there's a fair amount of that.", "raw_text": "Yeah, I mean, I feel like there's a fair amount of that.", "start_time": 4667.429, "end_time": 4670.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 967, "text": "Yeah, I would agree.", "raw_text": "Yeah, I would agree.", "start_time": 4671.99, "end_time": 4673.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 968, "text": "Like this change, change order thing that I. I mean there's a good use case to like test this end to end workflow on a real business case using the agent node.", "raw_text": "Like this change, change order thing that I. I mean there's a good use case to like test this end to end workflow on a real business case using the agent node.", "start_time": 4674.07, "end_time": 4684.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 969, "text": "So that was the one I picked.", "raw_text": "So that was the one I picked.", "start_time": 4684.9, "end_time": 4686.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 970, "text": "But like, that would be helpful for people not just like Sam to be aware of, I think.", "raw_text": "But like, that would be helpful for people not just like Sam to be aware of, I think.", "start_time": 4687.46, "end_time": 4693.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 971, "text": "I feel like our biggest issue is not the technology, but it's the diffusion or it's the taving.", "raw_text": "I feel like our biggest issue is not the technology, but it's the diffusion or it's the taving.", "start_time": 4693.86, "end_time": 4699.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 972, "text": "People know it's there.", "raw_text": "People know it's there.", "start_time": 4699.18, "end_time": 4700.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 973, "text": "Like, we could build all these workflows, but like our biggest issue here is like adoption.", "raw_text": "Like, we could build all these workflows, but like our biggest issue here is like adoption.", "start_time": 4700.22, "end_time": 4705.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 974, "text": "Like, it's like we need to tell people about this.", "raw_text": "Like, it's like we need to tell people about this.", "start_time": 4705.1, "end_time": 4707.06, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 975, "text": "So I don't think we can really solve this problem without education with our team.", "raw_text": "So I don't think we can really solve this problem without education with our team.", "start_time": 4707.06, "end_time": 4710.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 976, "text": "But if it's like literally sending a message on Slack, then it's like we gotta make sure we don't flood it.", "raw_text": "But if it's like literally sending a message on Slack, then it's like we gotta make sure we don't flood it.", "start_time": 4712.72, "end_time": 4724.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 977, "text": "But if it's like sending a message in Slack or putting it in linear, like it's already systems they're using.", "raw_text": "But if it's like sending a message in Slack or putting it in linear, like it's already systems they're using.", "start_time": 4724.4, "end_time": 4731.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 978, "text": "Yeah, that's true.", "raw_text": "Yeah, that's true.", "start_time": 4733.04, "end_time": 4733.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 979, "text": "I mean, I don't think we have to have like a company wide meeting for every use case or anything like that.", "raw_text": "I mean, I don't think we have to have like a company wide meeting for every use case or anything like that.", "start_time": 4733.84, "end_time": 4738.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 980, "text": "That obviously be ridiculous but like to some degree we got to at least have like, I mean a centralized place of like, like if we're, if we're going to do this all in like foundation with like workflows and then we host a Moreland foundation and it's like, okay, here's all these workflows.", "raw_text": "That obviously be ridiculous but like to some degree we got to at least have like, I mean a centralized place of like, like if we're, if we're going to do this all in like foundation with like workflows and then we host a Moreland foundation and it's like, okay, here's all these workflows.", "start_time": 4738.44, "end_time": 4753.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 981, "text": "Like at least everyone knows where to look for what exists.", "raw_text": "Like at least everyone knows where to look for what exists.", "start_time": 4753.75, "end_time": 4756.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 982, "text": "Or like, like oh, we're putting everything we know into the SharePoint folder and then like here's everyone's access to it.", "raw_text": "Or like, like oh, we're putting everything we know into the SharePoint folder and then like here's everyone's access to it.", "start_time": 4756.429, "end_time": 4763.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 983, "text": "Like I think we just like, I think the biggest issue, one of the biggest issues of like sharing these or like adoption will be like access and like ease of, ease of use.", "raw_text": "Like I think we just like, I think the biggest issue, one of the biggest issues of like sharing these or like adoption will be like access and like ease of, ease of use.", "start_time": 4763.27, "end_time": 4772.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 984, "text": "Because I don't think it's like, I guess that kind of leans into the question of like how much is this going to be like an agent harness where we're just leveraging one person to do as much as possible or we want this to be like a shared system where it's actually like an app like for like this like the resource staff managing.", "raw_text": "Because I don't think it's like, I guess that kind of leans into the question of like how much is this going to be like an agent harness where we're just leveraging one person to do as much as possible or we want this to be like a shared system where it's actually like an app like for like this like the resource staff managing.", "start_time": 4772.9, "end_time": 4789.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 985, "text": "Like are we actually, do we want to actually go build out like a dashboard that's like tracking like the spreadsheet stuff or do we just want to give more automations for John to continue to just own the spreadsheet like at.", "raw_text": "Like are we actually, do we want to actually go build out like a dashboard that's like tracking like the spreadsheet stuff or do we just want to give more automations for John to continue to just own the spreadsheet like at.", "start_time": 4789.1, "end_time": 4801.17, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 986, "text": "A process change level for that one?", "raw_text": "A process change level for that one?", "start_time": 4801.17, "end_time": 4804.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 987, "text": "I would say moving away from the spreadsheet.", "raw_text": "I would say moving away from the spreadsheet.", "start_time": 4804.25, "end_time": 4806.33, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 988, "text": "I, I mean I, I agree but yeah, I just don't know.", "raw_text": "I, I mean I, I agree but yeah, I just don't know.", "start_time": 4809.53, "end_time": 4812.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 989, "text": "But there's certain things that, like making project, making like weekly project updates or summaries that you email out to your customers.", "raw_text": "But there's certain things that, like making project, making like weekly project updates or summaries that you email out to your customers.", "start_time": 4812.89, "end_time": 4821.97, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 990, "text": "Like people are going to want a degree of control over it just to do it, do it themselves.", "raw_text": "Like people are going to want a degree of control over it just to do it, do it themselves.", "start_time": 4821.97, "end_time": 4826.88, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 991, "text": "Like yeah, I feel like the biggest issue here is like we could just start like you, me and Murph could sit down and start building stuff for all 20 of these use cases.", "raw_text": "Like yeah, I feel like the biggest issue here is like we could just start like you, me and Murph could sit down and start building stuff for all 20 of these use cases.", "start_time": 4826.96, "end_time": 4837.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 992, "text": "But like I feel like it won't matter if like, like Paul and Sam and whoever like the, I agree with you that like you know, Sam should own the project Op stuff because like this is Sam's stuff.", "raw_text": "But like I feel like it won't matter if like, like Paul and Sam and whoever like the, I agree with you that like you know, Sam should own the project Op stuff because like this is Sam's stuff.", "start_time": 4837.52, "end_time": 4848.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 993, "text": "So like if we want to help Sam automate and share out what he's doing because he's going to know it the best and that makes sense.", "raw_text": "So like if we want to help Sam automate and share out what he's doing because he's going to know it the best and that makes sense.", "start_time": 4848.16, "end_time": 4855.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 994, "text": "Like what are we supposed to do to help them?", "raw_text": "Like what are we supposed to do to help them?", "start_time": 4855.38, "end_time": 4858.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 995, "text": "Like probably sit down, maybe like audit the process, go through these user stories and then maybe just give advice on like how this could be integrated into a harness and Then see, like, see what he's doing and then look to see like, hey, you tell me what you want shared and then I'll put it in like an app to share it.", "raw_text": "Like probably sit down, maybe like audit the process, go through these user stories and then maybe just give advice on like how this could be integrated into a harness and Then see, like, see what he's doing and then look to see like, hey, you tell me what you want shared and then I'll put it in like an app to share it.", "start_time": 4858.34, "end_time": 4874.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 996, "text": "And then if that gets adoption, we put it into like foundation workflows or like what should the next four weeks look like to like build these out?", "raw_text": "And then if that gets adoption, we put it into like foundation workflows or like what should the next four weeks look like to like build these out?", "start_time": 4875.16, "end_time": 4882.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 997, "text": "Yeah, I think that sounds right.", "raw_text": "Yeah, I think that sounds right.", "start_time": 4884.92, "end_time": 4886.36, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 998, "text": "I think some of them we could just take a leap of faith and say like this should be a system wide feature.", "raw_text": "I think some of them we could just take a leap of faith and say like this should be a system wide feature.", "start_time": 4886.52, "end_time": 4894.84, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 999, "text": "But I would avoid as much as possible overlap with what existing apps can do.", "raw_text": "But I would avoid as much as possible overlap with what existing apps can do.", "start_time": 4898.36, "end_time": 4905.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1000, "text": "Like, we're not going to make a ticketing system because now we have two ticketing systems, linear and foundation.", "raw_text": "Like, we're not going to make a ticketing system because now we have two ticketing systems, linear and foundation.", "start_time": 4907.97, "end_time": 4914.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1001, "text": "But for instance, the planning spreadsheet's kind of crappy.", "raw_text": "But for instance, the planning spreadsheet's kind of crappy.", "start_time": 4917.009, "end_time": 4923.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1002, "text": "Like that could be done in a much better way inside an app.", "raw_text": "Like that could be done in a much better way inside an app.", "start_time": 4923.05, "end_time": 4926.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1003, "text": "Like we're already digesting the data.", "raw_text": "Like we're already digesting the data.", "start_time": 4926.29, "end_time": 4927.97, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1004, "text": "So I don't think that would be a big lift to recreate that.", "raw_text": "So I don't think that would be a big lift to recreate that.", "start_time": 4929.93, "end_time": 4933.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1005, "text": "Well, I guess my thought would be like, I feel like all of these should be shared.", "raw_text": "Well, I guess my thought would be like, I feel like all of these should be shared.", "start_time": 4933.45, "end_time": 4937.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1006, "text": "Like if we go through like any of them, like for instance, like the deal intelligence engine, Christopher already kind of has like Jared doing a lot of these.", "raw_text": "Like if we go through like any of them, like for instance, like the deal intelligence engine, Christopher already kind of has like Jared doing a lot of these.", "start_time": 4937.13, "end_time": 4943.25, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1007, "text": "But if we want like say these use cases of what Paul talked about, like when we met of like, I want this to like look, look across all the partners linkedins and like find connections and like put that into a place that should be shared.", "raw_text": "But if we want like say these use cases of what Paul talked about, like when we met of like, I want this to like look, look across all the partners linkedins and like find connections and like put that into a place that should be shared.", "start_time": 4943.25, "end_time": 4957.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1008, "text": "Then prior to meetings, sync to any of our calendars, giving a prep with research on those things.", "raw_text": "Then prior to meetings, sync to any of our calendars, giving a prep with research on those things.", "start_time": 4958, "end_time": 4963.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1009, "text": "Technically, Claude does all of this stuff.", "raw_text": "Technically, Claude does all of this stuff.", "start_time": 4965.68, "end_time": 4968, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1010, "text": "Every single one of these stories Claude could just do.", "raw_text": "Every single one of these stories Claude could just do.", "start_time": 4968.16, "end_time": 4970.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1011, "text": "I think the overlapping thing is, I don't think there's much on this whole thing that Claude couldn't just do with good prompting and stitching together.", "raw_text": "I think the overlapping thing is, I don't think there's much on this whole thing that Claude couldn't just do with good prompting and stitching together.", "start_time": 4970.8, "end_time": 4979.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1012, "text": "So I feel like all we are doing is helping sync that to a shared way.", "raw_text": "So I feel like all we are doing is helping sync that to a shared way.", "start_time": 4979.48, "end_time": 4984.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1013, "text": "I feel like that's what the effort is.", "raw_text": "I feel like that's what the effort is.", "start_time": 4984.77, "end_time": 4986.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1014, "text": "Yeah, but how are you going to share sync it to a shared way?", "raw_text": "Yeah, but how are you going to share sync it to a shared way?", "start_time": 4997.41, "end_time": 5000.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1015, "text": "I mean, I guess that that's the open question.", "raw_text": "I mean, I guess that that's the open question.", "start_time": 5003.41, "end_time": 5005.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1016, "text": "So then like the easiest thing is like, okay, like we could build for these four different things, four different databases, where it's like, okay, I have these tables with like all the LinkedIn connections and we just keep pushing it in there like Claude Supabase.", "raw_text": "So then like the easiest thing is like, okay, like we could build for these four different things, four different databases, where it's like, okay, I have these tables with like all the LinkedIn connections and we just keep pushing it in there like Claude Supabase.", "start_time": 5005.33, "end_time": 5018.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1017, "text": "Like that'd be like phase two, just be dumping it all there.", "raw_text": "Like that'd be like phase two, just be dumping it all there.", "start_time": 5018.26, "end_time": 5021.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1018, "text": "It's like phase one is like, okay, everyone has their own markdown files or whatever, local repositories.", "raw_text": "It's like phase one is like, okay, everyone has their own markdown files or whatever, local repositories.", "start_time": 5021.26, "end_time": 5027.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1019, "text": "Or we could put it to a shared folder, but I wouldn't want everyone to point at one shared folder.", "raw_text": "Or we could put it to a shared folder, but I wouldn't want everyone to point at one shared folder.", "start_time": 5027.62, "end_time": 5031.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1020, "text": "Like, it's going to have to be like a local and then like a shared.", "raw_text": "Like, it's going to have to be like a local and then like a shared.", "start_time": 5031.82, "end_time": 5034.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1021, "text": "And then the second is we could have like a database where each user can dump all their stuff and do like an S3 bucket.", "raw_text": "And then the second is we could have like a database where each user can dump all their stuff and do like an S3 bucket.", "start_time": 5034.34, "end_time": 5041.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1022, "text": "We can just have Claude grab it.", "raw_text": "We can just have Claude grab it.", "start_time": 5041.29, "end_time": 5042.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1023, "text": "Or we could put it into the full pipeline, like in the foundation.", "raw_text": "Or we could put it into the full pipeline, like in the foundation.", "start_time": 5042.69, "end_time": 5045.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1024, "text": "Well, let's look at just one of these.", "raw_text": "Well, let's look at just one of these.", "start_time": 5059.57, "end_time": 5061.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1025, "text": "Let's look at the one I just did.", "raw_text": "Let's look at the one I just did.", "start_time": 5061.25, "end_time": 5062.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1026, "text": "Change orders.", "raw_text": "Change orders.", "start_time": 5062.77, "end_time": 5063.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1027, "text": "Yeah, let me see.", "raw_text": "Yeah, let me see.", "start_time": 5064.61, "end_time": 5065.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1028, "text": "Change orders is here.", "raw_text": "Change orders is here.", "start_time": 5065.45, "end_time": 5066.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1029, "text": "Or you want to just talk through it?", "raw_text": "Or you want to just talk through it?", "start_time": 5068.59, "end_time": 5069.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1030, "text": "So, like, who would be.", "raw_text": "So, like, who would be.", "start_time": 5070.51, "end_time": 5071.79, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1031, "text": "To me, I think that would be one where like, okay, Sam could do that for his projects, but he's not running every project.", "raw_text": "To me, I think that would be one where like, okay, Sam could do that for his projects, but he's not running every project.", "start_time": 5073.79, "end_time": 5080.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1032, "text": "And then if I was on a call, I'd still want to be made aware of, like, oh, something that said on this call really is like against the contract.", "raw_text": "And then if I was on a call, I'd still want to be made aware of, like, oh, something that said on this call really is like against the contract.", "start_time": 5081.87, "end_time": 5089.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1033, "text": "So the audience is more than just Sam.", "raw_text": "So the audience is more than just Sam.", "start_time": 5091.39, "end_time": 5095.02, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1034, "text": "I agree.", "raw_text": "I agree.", "start_time": 5096.7, "end_time": 5097.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1035, "text": "So that's like one.", "raw_text": "So that's like one.", "start_time": 5098.46, "end_time": 5099.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1036, "text": "There's probably people that aren't just doing this at all or thinking about it at all.", "raw_text": "There's probably people that aren't just doing this at all or thinking about it at all.", "start_time": 5103.74, "end_time": 5108.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1037, "text": "So then the question is, okay, what's the technology fit?", "raw_text": "So then the question is, okay, what's the technology fit?", "start_time": 5109.98, "end_time": 5113.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1038, "text": "Is it just like built into Cowork?", "raw_text": "Is it just like built into Cowork?", "start_time": 5113.7, "end_time": 5117.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1039, "text": "Probably not, because, like, unless you're in there writing your own cron in Cowork, there's not an easy way to just like automatically handle this for you.", "raw_text": "Probably not, because, like, unless you're in there writing your own cron in Cowork, there's not an easy way to just like automatically handle this for you.", "start_time": 5118.06, "end_time": 5126.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1040, "text": "And we don't want to write this cron for every person's co work.", "raw_text": "And we don't want to write this cron for every person's co work.", "start_time": 5128.28, "end_time": 5132.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1041, "text": "Like, that's not scalable.", "raw_text": "Like, that's not scalable.", "start_time": 5132.6, "end_time": 5135.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1042, "text": "So, like, really foundation in these catalysts is like the proper fit to process that data.", "raw_text": "So, like, really foundation in these catalysts is like the proper fit to process that data.", "start_time": 5136.76, "end_time": 5143.72, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1043, "text": "And then the question is, how should people be made aware of it to your point?", "raw_text": "And then the question is, how should people be made aware of it to your point?", "start_time": 5145.57, "end_time": 5149.97, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1044, "text": "And how should they consume it?", "raw_text": "And how should they consume it?", "start_time": 5150.45, "end_time": 5151.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1045, "text": "We can like, as a default, throw this event login to a foundation, native foundation user interface.", "raw_text": "We can like, as a default, throw this event login to a foundation, native foundation user interface.", "start_time": 5154.53, "end_time": 5163.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1046, "text": "You can build a dashboard around that.", "raw_text": "You can build a dashboard around that.", "start_time": 5163.37, "end_time": 5165.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1047, "text": "Like, I feel like that should always be like there because that's, you know, we could really easily do that.", "raw_text": "Like, I feel like that should always be like there because that's, you know, we could really easily do that.", "start_time": 5166.05, "end_time": 5172.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1048, "text": "But you're not gonna get the adoption.", "raw_text": "But you're not gonna get the adoption.", "start_time": 5173.1, "end_time": 5175.42, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1049, "text": "You're like, now you're changing someone's workflow, they have to go to this thing.", "raw_text": "You're like, now you're changing someone's workflow, they have to go to this thing.", "start_time": 5175.42, "end_time": 5178.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1050, "text": "So to me, it's like either slack.", "raw_text": "So to me, it's like either slack.", "start_time": 5179.9, "end_time": 5185.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1051, "text": "It's slacked out or emailed out or in linear somewhere.", "raw_text": "It's slacked out or emailed out or in linear somewhere.", "start_time": 5186.94, "end_time": 5195.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1052, "text": "That would be like how you consume it.", "raw_text": "That would be like how you consume it.", "start_time": 5197.83, "end_time": 5199.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1053, "text": "Yeah, I agree that, like, I don't think it hurts for us, like, have the dashboards if we want to like, manage it.", "raw_text": "Yeah, I agree that, like, I don't think it hurts for us, like, have the dashboards if we want to like, manage it.", "start_time": 5200.87, "end_time": 5206.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1054, "text": "Or say, like, like, if we made a dashboard of like all change order updates.", "raw_text": "Or say, like, like, if we made a dashboard of like all change order updates.", "start_time": 5206.99, "end_time": 5212.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1055, "text": "Like, I don't think that, like, every person needs to use that, but maybe be useful for like, Sam too.", "raw_text": "Like, I don't think that, like, every person needs to use that, but maybe be useful for like, Sam too.", "start_time": 5212.63, "end_time": 5216.95, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1056, "text": "Or we can manage all of them.", "raw_text": "Or we can manage all of them.", "start_time": 5216.95, "end_time": 5218.03, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1057, "text": "But I agree that like, okay, basically it's.", "raw_text": "But I agree that like, okay, basically it's.", "start_time": 5218.03, "end_time": 5220.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1058, "text": "We need some type of event to trigger it or like how we would start that.", "raw_text": "We need some type of event to trigger it or like how we would start that.", "start_time": 5221.19, "end_time": 5225.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1059, "text": "So is this something that would just run.", "raw_text": "So is this something that would just run.", "start_time": 5225.31, "end_time": 5226.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1060, "text": "How do you have your logic on is like, I guess you could just run it like once a day or like a couple times a day.", "raw_text": "How do you have your logic on is like, I guess you could just run it like once a day or like a couple times a day.", "start_time": 5227.11, "end_time": 5232.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1061, "text": "Or you could do an event based I guess on like when, when Firefly meetings are done to just scan and check.", "raw_text": "Or you could do an event based I guess on like when, when Firefly meetings are done to just scan and check.", "start_time": 5232.47, "end_time": 5238.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1062, "text": "And then like whenever the meeting's done, we do figure out okay, like change order needs to happen and it flags it and then it could check.", "raw_text": "And then like whenever the meeting's done, we do figure out okay, like change order needs to happen and it flags it and then it could check.", "start_time": 5238.47, "end_time": 5247.75, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1063, "text": "Like I guess that's the thing of like if we do this like locally or wherever we do it, you're just gonna have to have some type of mapping of like who's on what projects and what does this meeting tie to.", "raw_text": "Like I guess that's the thing of like if we do this like locally or wherever we do it, you're just gonna have to have some type of mapping of like who's on what projects and what does this meeting tie to.", "start_time": 5248.24, "end_time": 5258.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1064, "text": "Then it tells you the project and the project tells you the people and it just pings all the people on the project or whoever you deem like PMs of the project that like, hey, change orders and enable or change order needs to be considered with the update like you just did in SharePoint.", "raw_text": "Then it tells you the project and the project tells you the people and it just pings all the people on the project or whoever you deem like PMs of the project that like, hey, change orders and enable or change order needs to be considered with the update like you just did in SharePoint.", "start_time": 5259.36, "end_time": 5274.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1065, "text": "And then I guess version one is just dumping it in SharePoint and then making sure it works.", "raw_text": "And then I guess version one is just dumping it in SharePoint and then making sure it works.", "start_time": 5275.18, "end_time": 5279.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1066, "text": "And version two, we host this as like a event login foundation and it uses our data layer for the connections of who the people are and then it uses a Slack integration or Gmail integration like sent out to those contacts.", "raw_text": "And version two, we host this as like a event login foundation and it uses our data layer for the connections of who the people are and then it uses a Slack integration or Gmail integration like sent out to those contacts.", "start_time": 5279.38, "end_time": 5293.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1067, "text": "Yeah, I would say phase one and two are the one.", "raw_text": "Yeah, I would say phase one and two are the one.", "start_time": 5294.78, "end_time": 5300.06, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1068, "text": "Like we just, we go live with the event log and if you want to see details, that event log points you to SharePoint or whatever that'd be like the native access to it.", "raw_text": "Like we just, we go live with the event log and if you want to see details, that event log points you to SharePoint or whatever that'd be like the native access to it.", "start_time": 5300.06, "end_time": 5316.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1069, "text": "But then I think we would go live with it slacking to that project's channel because all that stuff's project or client based.", "raw_text": "But then I think we would go live with it slacking to that project's channel because all that stuff's project or client based.", "start_time": 5316.82, "end_time": 5328.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1070, "text": "Yeah, I guess so.", "raw_text": "Yeah, I guess so.", "start_time": 5329.62, "end_time": 5331.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1071, "text": "I mean I think it's gonna have to be going through each one of these and talking through it just like that.", "raw_text": "I mean I think it's gonna have to be going through each one of these and talking through it just like that.", "start_time": 5331.62, "end_time": 5339.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1072, "text": "Like I don't think there's any one size fits all like, like client project context to me that is.", "raw_text": "Like I don't think there's any one size fits all like, like client project context to me that is.", "start_time": 5339.94, "end_time": 5347.94, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1073, "text": "Let's take the data Christopher captured, let's take the data the other Garage app captured about clients and beef up the context of each project in Foundation.", "raw_text": "Let's take the data Christopher captured, let's take the data the other Garage app captured about clients and beef up the context of each project in Foundation.", "start_time": 5348.98, "end_time": 5364.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1074, "text": "And then that's an education to people.", "raw_text": "And then that's an education to people.", "start_time": 5365.9, "end_time": 5370.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1075, "text": "Like you can use this foundation mcp, hook it into your existing LLMs, or you could go to foundation, the Foundation URL and chat with this.", "raw_text": "Like you can use this foundation mcp, hook it into your existing LLMs, or you could go to foundation, the Foundation URL and chat with this.", "start_time": 5370.22, "end_time": 5380.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1076, "text": "Or if we get chat SDK integrated, like you can literally slack with our chat agent and like find out more about the client project context.", "raw_text": "Or if we get chat SDK integrated, like you can literally slack with our chat agent and like find out more about the client project context.", "start_time": 5381.26, "end_time": 5392.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1077, "text": "Like how else are you going to do that other than collect the context yourself?", "raw_text": "Like how else are you going to do that other than collect the context yourself?", "start_time": 5392.51, "end_time": 5398.71, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1078, "text": "Which is what everyone's doing right now and like everyone has their own context for a project.", "raw_text": "Which is what everyone's doing right now and like everyone has their own context for a project.", "start_time": 5398.789, "end_time": 5404.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1079, "text": "Like I've got different contexts for foundation than Murf and I think that's fine.", "raw_text": "Like I've got different contexts for foundation than Murf and I think that's fine.", "start_time": 5404.31, "end_time": 5409.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1080, "text": "Like that should still exist but there should be like a central context or shared context thing too.", "raw_text": "Like that should still exist but there should be like a central context or shared context thing too.", "start_time": 5409.03, "end_time": 5414.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1081, "text": "Well yeah, I think however we build it and we're sharing context across an org, I think there has to be a hierarchy of the company wide context which isn't all the context but just the stuff that we all agree on.", "raw_text": "Well yeah, I think however we build it and we're sharing context across an org, I think there has to be a hierarchy of the company wide context which isn't all the context but just the stuff that we all agree on.", "start_time": 5415.57, "end_time": 5429.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1082, "text": "Then there's project level context that okay, within this project this is the stuff we all agree on.", "raw_text": "Then there's project level context that okay, within this project this is the stuff we all agree on.", "start_time": 5429.97, "end_time": 5436.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1083, "text": "Then like your personal context for like you can actually like work through and like share and it's like that should all really not ever be exactly the same unless you like just started something.", "raw_text": "Then like your personal context for like you can actually like work through and like share and it's like that should all really not ever be exactly the same unless you like just started something.", "start_time": 5436.3, "end_time": 5444.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1084, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 5446.94, "end_time": 5449.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1085, "text": "So to me like both I and K are both company wide things that should be available and I don't until cowork like expands to do more like shared actual project autonomous things to gather context and run jobs.", "raw_text": "So to me like both I and K are both company wide things that should be available and I don't until cowork like expands to do more like shared actual project autonomous things to gather context and run jobs.", "start_time": 5449.98, "end_time": 5474.06, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1086, "text": "Like Claude's not a good fit for it.", "raw_text": "Like Claude's not a good fit for it.", "start_time": 5474.38, "end_time": 5476.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1087, "text": "I think our best fit is foundation for it.", "raw_text": "I think our best fit is foundation for it.", "start_time": 5477.02, "end_time": 5479.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1088, "text": "And then there's a degree of like maybe we do talk to people like how would you want to consume this data?", "raw_text": "And then there's a degree of like maybe we do talk to people like how would you want to consume this data?", "start_time": 5480.46, "end_time": 5486.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1089, "text": "Like off the shelf.", "raw_text": "Like off the shelf.", "start_time": 5486.86, "end_time": 5488.62, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1090, "text": "You can go to foundation for both of these.", "raw_text": "You can go to foundation for both of these.", "start_time": 5488.86, "end_time": 5490.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1091, "text": "You can chat in foundation and learn more about the client.", "raw_text": "You can chat in foundation and learn more about the client.", "start_time": 5490.86, "end_time": 5494.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1092, "text": "You can go into foundation and see this event log for things.", "raw_text": "You can go into foundation and see this event log for things.", "start_time": 5495.25, "end_time": 5498.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1093, "text": "But beyond that alternatives are you can hook up this MCP and proactively ask foundation about those two things or for I like that's something that we should be like pushing out to existing apps and channels potentially.", "raw_text": "But beyond that alternatives are you can hook up this MCP and proactively ask foundation about those two things or for I like that's something that we should be like pushing out to existing apps and channels potentially.", "start_time": 5500.21, "end_time": 5523.21, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1094, "text": "So it's just in.", "raw_text": "So it's just in.", "start_time": 5523.21, "end_time": 5523.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1095, "text": "In your face more like it's more of like a alert or an event, not necessarily like something that you'd be asking for.", "raw_text": "In your face more like it's more of like a alert or an event, not necessarily like something that you'd be asking for.", "start_time": 5523.93, "end_time": 5531.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1096, "text": "So yeah, I think like having to go through that exercise and thought process for each one of these is going to be required and we can continue to go through them on this call now.", "raw_text": "So yeah, I think like having to go through that exercise and thought process for each one of these is going to be required and we can continue to go through them on this call now.", "start_time": 5537.33, "end_time": 5548.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1097, "text": "Yeah, I do agree with that.", "raw_text": "Yeah, I do agree with that.", "start_time": 5549.42, "end_time": 5550.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1098, "text": "And then I guess I'm trying to think I think yeah building them out in a like I think the end state would be like so I guess we just want everything.", "raw_text": "And then I guess I'm trying to think I think yeah building them out in a like I think the end state would be like so I guess we just want everything.", "start_time": 5550.66, "end_time": 5563.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1099, "text": "If we run everything through foundation that would make sense.", "raw_text": "If we run everything through foundation that would make sense.", "start_time": 5563.7, "end_time": 5566.54, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1100, "text": "And then I think these like systems would just be like if we were to build like first party apps, like anything that would need a front end I think is how I like grouped like would make sense to like group these out because I feel like I don't know that's the one thing of like how useful is it change Orders is a good one to like just get pinged in Slack of like, hey, you got a change order.", "raw_text": "And then I think these like systems would just be like if we were to build like first party apps, like anything that would need a front end I think is how I like grouped like would make sense to like group these out because I feel like I don't know that's the one thing of like how useful is it change Orders is a good one to like just get pinged in Slack of like, hey, you got a change order.", "start_time": 5566.54, "end_time": 5589.05, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1101, "text": "Like you should, you should like look into this.", "raw_text": "Like you should, you should like look into this.", "start_time": 5589.13, "end_time": 5590.97, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1102, "text": "Like that makes sense to just get pinged, but for like project summary or like if I want to actually go like do things like for instance, like if I actually have this like deal intelligence agents and I, I want like a briefing before my meeting and then to go like edit it.", "raw_text": "Like that makes sense to just get pinged, but for like project summary or like if I want to actually go like do things like for instance, like if I actually have this like deal intelligence agents and I, I want like a briefing before my meeting and then to go like edit it.", "start_time": 5590.97, "end_time": 5605.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1103, "text": "Like, I don't, I don't like the tools that just kind of give me like a. Oh, hey, here, here you are.", "raw_text": "Like, I don't, I don't like the tools that just kind of give me like a. Oh, hey, here, here you are.", "start_time": 5605.26, "end_time": 5609.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1104, "text": "Like, it's helpful for like a ping.", "raw_text": "Like, it's helpful for like a ping.", "start_time": 5609.66, "end_time": 5610.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1105, "text": "But if I want to go actually go like user in the loop or like look at all like the available ones.", "raw_text": "But if I want to go actually go like user in the loop or like look at all like the available ones.", "start_time": 5610.94, "end_time": 5615.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1106, "text": "Like, I feel like either like an app or just like dump all the context into my Claude code or like, let me just grab it locally is helpful.", "raw_text": "Like, I feel like either like an app or just like dump all the context into my Claude code or like, let me just grab it locally is helpful.", "start_time": 5615.78, "end_time": 5623.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1107, "text": "So I think I was thinking about like, is there a way of like just grouping these together instead of having maybe like.", "raw_text": "So I think I was thinking about like, is there a way of like just grouping these together instead of having maybe like.", "start_time": 5625.4, "end_time": 5633.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1108, "text": "I think a lot of them are like one offs or maybe we just start automating them one at a time and maybe that maybe that's the easiest and then we just start seeing of like, what do we need a UI for after we automate it more at a time.", "raw_text": "I think a lot of them are like one offs or maybe we just start automating them one at a time and maybe that maybe that's the easiest and then we just start seeing of like, what do we need a UI for after we automate it more at a time.", "start_time": 5633.48, "end_time": 5642.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1109, "text": "Yeah, I think there's.", "raw_text": "Yeah, I think there's.", "start_time": 5644.52, "end_time": 5645.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1110, "text": "Murph and I are talking about this.", "raw_text": "Murph and I are talking about this.", "start_time": 5645.64, "end_time": 5647.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1111, "text": "There's like so many different ways to skin a cat even beyond this.", "raw_text": "There's like so many different ways to skin a cat even beyond this.", "start_time": 5647.24, "end_time": 5650.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1112, "text": "Like the technical implementations of each one of these.", "raw_text": "Like the technical implementations of each one of these.", "start_time": 5652.3, "end_time": 5657.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1113, "text": "Even if you do decide it's in foundation, there's like five ways to do it in Foundation.", "raw_text": "Even if you do decide it's in foundation, there's like five ways to do it in Foundation.", "start_time": 5657.5, "end_time": 5661.26, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1114, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5661.66, "end_time": 5662.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1115, "text": "And some of them could be like.", "raw_text": "And some of them could be like.", "start_time": 5662.38, "end_time": 5663.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1116, "text": "Some of the things that are more like interactive.", "raw_text": "Some of the things that are more like interactive.", "start_time": 5668.14, "end_time": 5669.94, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1117, "text": "Like I would want to chat with this.", "raw_text": "Like I would want to chat with this.", "start_time": 5669.94, "end_time": 5671.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1118, "text": "It could be a skill that we share across our Claude Enterprise that uses like the moral and mcp.", "raw_text": "It could be a skill that we share across our Claude Enterprise that uses like the moral and mcp.", "start_time": 5672.3, "end_time": 5686.11, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1119, "text": "Or it could be a skill that is in Claude Enterprise that instructs you to use directly with the Fireflies MCP and the linear mcp, like use these direct.", "raw_text": "Or it could be a skill that is in Claude Enterprise that instructs you to use directly with the Fireflies MCP and the linear mcp, like use these direct.", "start_time": 5686.11, "end_time": 5698.87, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1120, "text": "Because for instance, like linear has Linear MCP has write functionality.", "raw_text": "Because for instance, like linear has Linear MCP has write functionality.", "start_time": 5698.87, "end_time": 5702.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1121, "text": "We don't have right to foundation.", "raw_text": "We don't have right to foundation.", "start_time": 5702.35, "end_time": 5704.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1122, "text": "Like, I'm not saying foundations.", "raw_text": "Like, I'm not saying foundations.", "start_time": 5704.36, "end_time": 5706.2, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1123, "text": "The one size fits all for a lot of these.", "raw_text": "The one size fits all for a lot of these.", "start_time": 5706.2, "end_time": 5709.96, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1124, "text": "I think it could be just like there's a shared skill in Claude and it's training people to say, like, hey, did you know that with this Claude Enterprise we can share these skills.", "raw_text": "I think it could be just like there's a shared skill in Claude and it's training people to say, like, hey, did you know that with this Claude Enterprise we can share these skills.", "start_time": 5709.96, "end_time": 5723.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1125, "text": "We made one called, I don't know, Research, upcoming client call or something and it's basically prompt engineering and uses like Claude's website, Deep research, web search.", "raw_text": "We made one called, I don't know, Research, upcoming client call or something and it's basically prompt engineering and uses like Claude's website, Deep research, web search.", "start_time": 5724.04, "end_time": 5740.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1126, "text": "That's it.", "raw_text": "That's it.", "start_time": 5740.37, "end_time": 5740.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1127, "text": "Like, but then that's just like training and telling people this is there.", "raw_text": "Like, but then that's just like training and telling people this is there.", "start_time": 5741.17, "end_time": 5745.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1128, "text": "Yeah, I guess maybe that's my issue because it's like, if I look at all these use cases, I can very clearly in my head think about, okay, if I just needed to get this done, how could I do it with Claude?", "raw_text": "Yeah, I guess maybe that's my issue because it's like, if I look at all these use cases, I can very clearly in my head think about, okay, if I just needed to get this done, how could I do it with Claude?", "start_time": 5746.53, "end_time": 5756.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1129, "text": "And like, how could I set up my own harness to do it?", "raw_text": "And like, how could I set up my own harness to do it?", "start_time": 5756.87, "end_time": 5759.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1130, "text": "Like, that's pretty clear to me for most of these.", "raw_text": "Like, that's pretty clear to me for most of these.", "start_time": 5759.07, "end_time": 5761.55, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1131, "text": "And then the second is like, okay, if I needed to create like a, a web app that like does all these, I feel really good about, like, here's four apps.", "raw_text": "And then the second is like, okay, if I needed to create like a, a web app that like does all these, I feel really good about, like, here's four apps.", "start_time": 5761.95, "end_time": 5769.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1132, "text": "But then when I start going to like, how does all this fit into Foundation?", "raw_text": "But then when I start going to like, how does all this fit into Foundation?", "start_time": 5769.71, "end_time": 5772.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1133, "text": "That's just not as clear to me.", "raw_text": "That's just not as clear to me.", "start_time": 5773.07, "end_time": 5774.43, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1134, "text": "I think a lot of the initial use cases in foundation will either be an app, an event law, or, and, or event logs, or it's just a mechanism to like process these catalysts and then get this information in front of people's eyes.", "raw_text": "I think a lot of the initial use cases in foundation will either be an app, an event law, or, and, or event logs, or it's just a mechanism to like process these catalysts and then get this information in front of people's eyes.", "start_time": 5777.15, "end_time": 5794.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1135, "text": "It's not something that people even think of.", "raw_text": "It's not something that people even think of.", "start_time": 5794.45, "end_time": 5796.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1136, "text": "It's like the proactive ones, the reactive ones could.", "raw_text": "It's like the proactive ones, the reactive ones could.", "start_time": 5797.89, "end_time": 5801.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1137, "text": "Foundations like MCP and data could serve as a way to get the data.", "raw_text": "Foundations like MCP and data could serve as a way to get the data.", "start_time": 5802.93, "end_time": 5808.09, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1138, "text": "But like, it's going to be up to the user to a large extent to say, like, to even think.", "raw_text": "But like, it's going to be up to the user to a large extent to say, like, to even think.", "start_time": 5808.09, "end_time": 5813.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1139, "text": "Like, I need to use this process that Caden taught me about.", "raw_text": "Like, I need to use this process that Caden taught me about.", "start_time": 5813.22, "end_time": 5820.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1140, "text": "But I think when you're in that realm.", "raw_text": "But I think when you're in that realm.", "start_time": 5823.62, "end_time": 5825.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1141, "text": "Where it's like user relate, you know, you're really requiring the user to like, think and remember, like your compliance and uptick and like adherence and utilization of that is going to be lower than things that we can automate and like get in front of people.", "raw_text": "Where it's like user relate, you know, you're really requiring the user to like, think and remember, like your compliance and uptick and like adherence and utilization of that is going to be lower than things that we can automate and like get in front of people.", "start_time": 5830.82, "end_time": 5848.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1142, "text": "But the automation thing doesn't fit every use case for sure.", "raw_text": "But the automation thing doesn't fit every use case for sure.", "start_time": 5848.75, "end_time": 5853.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1143, "text": "Like, I don't know, at the end of the day, some of this stuff's going to be up to the user, like piece and the tools available together and doing it.", "raw_text": "Like, I don't know, at the end of the day, some of this stuff's going to be up to the user, like piece and the tools available together and doing it.", "start_time": 5853.47, "end_time": 5864.54, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1144, "text": "I mean, even, like, you see that even in like any business software, like the promise of ERP is so high that like, oh, this should really change my business.", "raw_text": "I mean, even, like, you see that even in like any business software, like the promise of ERP is so high that like, oh, this should really change my business.", "start_time": 5867.02, "end_time": 5875.02, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1145, "text": "But if you have people that have been doing it a certain way in their spreadsheet, they're never going to use the ERP anyway.", "raw_text": "But if you have people that have been doing it a certain way in their spreadsheet, they're never going to use the ERP anyway.", "start_time": 5875.1, "end_time": 5882.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1146, "text": "It's like, yeah, that's true, there's good,.", "raw_text": "It's like, yeah, that's true, there's good,.", "start_time": 5882.46, "end_time": 5885.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1147, "text": "But that's the thing too.", "raw_text": "But that's the thing too.", "start_time": 5886.62, "end_time": 5887.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1148, "text": "Like, that's the real, like the pie in the sky spark here up in CIS4.", "raw_text": "Like, that's the real, like the pie in the sky spark here up in CIS4.", "start_time": 5887.7, "end_time": 5895.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1149, "text": "Well, that's every time I think about trying to solve all these problems, it's like, we're all engineers, we're all just gonna use our own.", "raw_text": "Well, that's every time I think about trying to solve all these problems, it's like, we're all engineers, we're all just gonna use our own.", "start_time": 5896.21, "end_time": 5901.81, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1150, "text": "Like, I just want to make my own agent harness and solve those Problems like I don't even know what other people like.", "raw_text": "Like, I just want to make my own agent harness and solve those Problems like I don't even know what other people like.", "start_time": 5901.89, "end_time": 5907.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1151, "text": "How are we gonna spread it out?", "raw_text": "How are we gonna spread it out?", "start_time": 5907.25, "end_time": 5908.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1152, "text": "Well, we're not solving it just for you, we're solving it for the whole world.", "raw_text": "Well, we're not solving it just for you, we're solving it for the whole world.", "start_time": 5908.93, "end_time": 5911.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1153, "text": "Yeah, yeah, that's true.", "raw_text": "Yeah, yeah, that's true.", "start_time": 5912.13, "end_time": 5914.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1154, "text": "I mean I, I agree but that's.", "raw_text": "I mean I, I agree but that's.", "start_time": 5914.99, "end_time": 5916.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1155, "text": "But like Tim Ferriss has a good, has a really good quote.", "raw_text": "But like Tim Ferriss has a good, has a really good quote.", "start_time": 5917.55, "end_time": 5920.95, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1156, "text": "I always think of.", "raw_text": "I always think of.", "start_time": 5920.95, "end_time": 5921.87, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1157, "text": "Well, he looks at his to do list, he's like, what one of these can I do?", "raw_text": "Well, he looks at his to do list, he's like, what one of these can I do?", "start_time": 5922.35, "end_time": 5926.35, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1158, "text": "That would make like all the other.", "raw_text": "That would make like all the other.", "start_time": 5926.35, "end_time": 5928.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1159, "text": "A lot of the other ones like null and void.", "raw_text": "A lot of the other ones like null and void.", "start_time": 5928.51, "end_time": 5931.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1160, "text": "If you got Spark agent working like to actually like what.", "raw_text": "If you got Spark agent working like to actually like what.", "start_time": 5932.03, "end_time": 5936.55, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1161, "text": "What's our business do?", "raw_text": "What's our business do?", "start_time": 5936.55, "end_time": 5937.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1162, "text": "Deliver custom software.", "raw_text": "Deliver custom software.", "start_time": 5937.59, "end_time": 5939.31, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1163, "text": "Whether it's AI based or not.", "raw_text": "Whether it's AI based or not.", "start_time": 5939.31, "end_time": 5941.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1164, "text": "It's just like we're delivering a solution for a business.", "raw_text": "It's just like we're delivering a solution for a business.", "start_time": 5941.89, "end_time": 5944.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1165, "text": "If you got like this AI just writing all this stuff and doing it like do you even need.", "raw_text": "If you got like this AI just writing all this stuff and doing it like do you even need.", "start_time": 5946.13, "end_time": 5952.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1166, "text": "Murph and I were talking about this.", "raw_text": "Murph and I were talking about this.", "start_time": 5952.17, "end_time": 5953.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1167, "text": "Do you even need to put the ticket in linear at that point?", "raw_text": "Do you even need to put the ticket in linear at that point?", "start_time": 5953.37, "end_time": 5956.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1168, "text": "Not really.", "raw_text": "Not really.", "start_time": 5957.49, "end_time": 5958.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1169, "text": "Like maybe you want some tracking to it but like I don't know.", "raw_text": "Like maybe you want some tracking to it but like I don't know.", "start_time": 5958.77, "end_time": 5963.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1170, "text": "The job to be done is to deliver a working software solution.", "raw_text": "The job to be done is to deliver a working software solution.", "start_time": 5963.77, "end_time": 5967.05, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1171, "text": "The job to be done is not project status updates.", "raw_text": "The job to be done is not project status updates.", "start_time": 5967.05, "end_time": 5971.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1172, "text": "Like if the code is just done on one shot, there is no project status updates.", "raw_text": "Like if the code is just done on one shot, there is no project status updates.", "start_time": 5972.49, "end_time": 5976.97, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1173, "text": "It's done.", "raw_text": "It's done.", "start_time": 5976.97, "end_time": 5977.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1174, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 5979.21, "end_time": 5979.69, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1175, "text": "So a lot of these like the low effort, high impact are solving like business as it's done today.", "raw_text": "So a lot of these like the low effort, high impact are solving like business as it's done today.", "start_time": 5980.17, "end_time": 5989.93, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1176, "text": "But you know, if you did the spark we figured out how to just actually make a software factory, then some of this stuff is like doesn't matter.", "raw_text": "But you know, if you did the spark we figured out how to just actually make a software factory, then some of this stuff is like doesn't matter.", "start_time": 5992.81, "end_time": 6002.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1177, "text": "Like arrangement letters is a very interesting one.", "raw_text": "Like arrangement letters is a very interesting one.", "start_time": 6032.41, "end_time": 6034.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1178, "text": "I think it's kind of a.", "raw_text": "I think it's kind of a.", "start_time": 6034.41, "end_time": 6035.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1179, "text": "To me it that's like a muddy middle messy ground.", "raw_text": "To me it that's like a muddy middle messy ground.", "start_time": 6035.61, "end_time": 6040.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1180, "text": "I think like a skill dispersed through Doc, disperse through Claude.", "raw_text": "I think like a skill dispersed through Doc, disperse through Claude.", "start_time": 6040.65, "end_time": 6051.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1181, "text": "They could use context provided by either Fireflies directly or like the Morland mcp.", "raw_text": "They could use context provided by either Fireflies directly or like the Morland mcp.", "start_time": 6052.18, "end_time": 6061.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1182, "text": "That's probably enough.", "raw_text": "That's probably enough.", "start_time": 6063.06, "end_time": 6064.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1183, "text": "And then if you want to really further automate it like yeah, it'd be nice if like anytime a call sales call wrapped up like the agent just made the arrangement letter and said here's the arrangement letter.", "raw_text": "And then if you want to really further automate it like yeah, it'd be nice if like anytime a call sales call wrapped up like the agent just made the arrangement letter and said here's the arrangement letter.", "start_time": 6068.34, "end_time": 6080.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1184, "text": "That's a nice to have but probably overkill.", "raw_text": "That's a nice to have but probably overkill.", "start_time": 6082.19, "end_time": 6086.51, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1185, "text": "Yep.", "raw_text": "Yep.", "start_time": 6087.71, "end_time": 6088.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1186, "text": "Yeah, I feel like a nice to have would be like you have the, the transcript.", "raw_text": "Yeah, I feel like a nice to have would be like you have the, the transcript.", "start_time": 6088.67, "end_time": 6093.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1187, "text": "You're like you have like your meeting and then after the meeting are done like it's t. Like do we have anything that's associating all the Firefly like discovery calls with like a client or like a project?", "raw_text": "You're like you have like your meeting and then after the meeting are done like it's t. Like do we have anything that's associating all the Firefly like discovery calls with like a client or like a project?", "start_time": 6093.11, "end_time": 6103.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1188, "text": "Because if we just those were all linked together and then it was like all right, we're.", "raw_text": "Because if we just those were all linked together and then it was like all right, we're.", "start_time": 6103.52, "end_time": 6107.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1189, "text": "There's a button or something you call.", "raw_text": "There's a button or something you call.", "start_time": 6107.16, "end_time": 6108.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1190, "text": "It's Like I'm ready for this arrangement letter in this quote and then it just like helps us get started on that.", "raw_text": "It's Like I'm ready for this arrangement letter in this quote and then it just like helps us get started on that.", "start_time": 6108.84, "end_time": 6115.32, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1191, "text": "Yep.", "raw_text": "Yep.", "start_time": 6121.24, "end_time": 6121.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1192, "text": "Yeah, I guess.", "raw_text": "Yeah, I guess.", "start_time": 6124.52, "end_time": 6125.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1193, "text": "Do you want to just like, do we want to just go through these like one at a time and then just like talk about how we would build them and then like come back.", "raw_text": "Do you want to just like, do we want to just go through these like one at a time and then just like talk about how we would build them and then like come back.", "start_time": 6125.12, "end_time": 6132, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1194, "text": "Come back that way?", "raw_text": "Come back that way?", "start_time": 6132, "end_time": 6132.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1195, "text": "Yeah, I think so.", "raw_text": "Yeah, I think so.", "start_time": 6135.2, "end_time": 6136.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1196, "text": "Or like let's pick like so I started on change order.", "raw_text": "Or like let's pick like so I started on change order.", "start_time": 6136.16, "end_time": 6140.56, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1197, "text": "Let's just pick one of them and build them.", "raw_text": "Let's just pick one of them and build them.", "start_time": 6140.56, "end_time": 6142.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1198, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6146.24, "end_time": 6146.8, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1199, "text": "Or pick like a hand, Pick like five.", "raw_text": "Or pick like a hand, Pick like five.", "start_time": 6152.57, "end_time": 6155.49, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1200, "text": "We go after and talk through each of those.", "raw_text": "We go after and talk through each of those.", "start_time": 6155.49, "end_time": 6158.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1201, "text": "Like I think those ones in the quadrant are the right ones.", "raw_text": "Like I think those ones in the quadrant are the right ones.", "start_time": 6159.77, "end_time": 6162.49, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1202, "text": "These ones?", "raw_text": "These ones?", "start_time": 6164.97, "end_time": 6165.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1203, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 6166.33, "end_time": 6168.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1204, "text": "Change order context,.", "raw_text": "Change order context,.", "start_time": 6168.53, "end_time": 6171.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1205, "text": "Like to your point, project tracking, if we were talking through that one, I could see that getting to.", "raw_text": "Like to your point, project tracking, if we were talking through that one, I could see that getting to.", "start_time": 6176.01, "end_time": 6187.49, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1206, "text": "Yeah, like you could give it a system prompt, you could give it the MCPS into cube queries.", "raw_text": "Yeah, like you could give it a system prompt, you could give it the MCPS into cube queries.", "start_time": 6192.29, "end_time": 6198.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1207, "text": "It needs to get all this data and you could run it on demand.", "raw_text": "It needs to get all this data and you could run it on demand.", "start_time": 6198.25, "end_time": 6201.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1208, "text": "That gets you a ton of the way there.", "raw_text": "That gets you a ton of the way there.", "start_time": 6203.65, "end_time": 6205.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1209, "text": "Like I, I've proved that will work.", "raw_text": "Like I, I've proved that will work.", "start_time": 6205.37, "end_time": 6207.17, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1210, "text": "But if you're going to go that far, like, why not just like make an app, a little app or a dashboard that people go to.", "raw_text": "But if you're going to go that far, like, why not just like make an app, a little app or a dashboard that people go to.", "start_time": 6209.57, "end_time": 6219.25, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1211, "text": "Right?", "raw_text": "Right?", "start_time": 6219.89, "end_time": 6220.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1212, "text": "Like, I do think that one's final state is there, so I don't think there's a one size fits all for these.", "raw_text": "Like, I do think that one's final state is there, so I don't think there's a one size fits all for these.", "start_time": 6222.13, "end_time": 6233.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1213, "text": "I think it is like on an individual basis.", "raw_text": "I think it is like on an individual basis.", "start_time": 6234.33, "end_time": 6236.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1214, "text": "And you know, again, this is me talking too.", "raw_text": "And you know, again, this is me talking too.", "start_time": 6238.09, "end_time": 6240.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1215, "text": "Like we should probably ask the audience, you know, at least the people, at least the leaders in their quadrants before over engineering or under engineering.", "raw_text": "Like we should probably ask the audience, you know, at least the people, at least the leaders in their quadrants before over engineering or under engineering.", "start_time": 6240.37, "end_time": 6256.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1216, "text": "But I think the final state for each one of these are like the work outputs can be different.", "raw_text": "But I think the final state for each one of these are like the work outputs can be different.", "start_time": 6256.37, "end_time": 6262.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1217, "text": "And then to your point, Kaden, like you do a handful of these that are kind of in the same realm, eventually you like consolidate and make that like an all in one solution or something.", "raw_text": "And then to your point, Kaden, like you do a handful of these that are kind of in the same realm, eventually you like consolidate and make that like an all in one solution or something.", "start_time": 6265.85, "end_time": 6279.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1218, "text": "But I don't think we need to worry about optimizing early because of how fast code can be written.", "raw_text": "But I don't think we need to worry about optimizing early because of how fast code can be written.", "start_time": 6279.45, "end_time": 6287.77, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1219, "text": "Like we can just get something working and if it's wrong, we'll just throw it away and rewrite it in like 20 minutes.", "raw_text": "Like we can just get something working and if it's wrong, we'll just throw it away and rewrite it in like 20 minutes.", "start_time": 6288.74, "end_time": 6296.1, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1220, "text": "But.", "raw_text": "But.", "start_time": 6296.74, "end_time": 6297.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1221, "text": "Yeah, so I guess if you just want to grab.", "raw_text": "Yeah, so I guess if you just want to grab.", "start_time": 6327.87, "end_time": 6329.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1222, "text": "If we want to grab like a few from here, we just start change orders.", "raw_text": "If we want to grab like a few from here, we just start change orders.", "start_time": 6329.35, "end_time": 6333.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1223, "text": "Yeah, I feel like a lot of these, like green ones would be like, could be probably well change orders.", "raw_text": "Yeah, I feel like a lot of these, like green ones would be like, could be probably well change orders.", "start_time": 6335.31, "end_time": 6341.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1224, "text": "You got a pretty good flow for project context, project tracking, project schedules.", "raw_text": "You got a pretty good flow for project context, project tracking, project schedules.", "start_time": 6341.39, "end_time": 6346.87, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1225, "text": "Like I feel like the KPIs project schedules, project tracking and project context.", "raw_text": "Like I feel like the KPIs project schedules, project tracking and project context.", "start_time": 6346.87, "end_time": 6352.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1226, "text": "Like, I feel like all of those, like just need a dashboard.", "raw_text": "Like, I feel like all of those, like just need a dashboard.", "start_time": 6352.35, "end_time": 6355.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1227, "text": "Yeah, I feel, I would say dashboard and chat.", "raw_text": "Yeah, I feel, I would say dashboard and chat.", "start_time": 6358.71, "end_time": 6367.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1228, "text": "Chat with data both.", "raw_text": "Chat with data both.", "start_time": 6368.72, "end_time": 6369.92, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1229, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6371.28, "end_time": 6371.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1230, "text": "I agree with that.", "raw_text": "I agree with that.", "start_time": 6371.6, "end_time": 6373.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1231, "text": "But yeah, I guess like my, yeah my thought was like okay, I could do like I, I could grab like the, the project.", "raw_text": "But yeah, I guess like my, yeah my thought was like okay, I could do like I, I could grab like the, the project.", "start_time": 6373.44, "end_time": 6381.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1232, "text": "We could, we could grab the project op ones and like maybe just specifies like these.", "raw_text": "We could, we could grab the project op ones and like maybe just specifies like these.", "start_time": 6381.36, "end_time": 6386.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1233, "text": "What is this over here?", "raw_text": "What is this over here?", "start_time": 6386.44, "end_time": 6387.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1234, "text": "Squad performance and project summaries.", "raw_text": "Squad performance and project summaries.", "start_time": 6387.36, "end_time": 6389.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1235, "text": "I guess yeah we could ignore those and just start off with.", "raw_text": "I guess yeah we could ignore those and just start off with.", "start_time": 6389.44, "end_time": 6392.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1236, "text": "I feel like project schedule, project tracking and project summaries are all going to be the same.", "raw_text": "I feel like project schedule, project tracking and project summaries are all going to be the same.", "start_time": 6394.22, "end_time": 6398.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1237, "text": "It's like I want to pull in fireflies linear and toggle and then the arrangement letter and then whatever.", "raw_text": "It's like I want to pull in fireflies linear and toggle and then the arrangement letter and then whatever.", "start_time": 6398.86, "end_time": 6404.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1238, "text": "Maybe even the git repo on like where people are at with their updates and like how are they doing?", "raw_text": "Maybe even the git repo on like where people are at with their updates and like how are they doing?", "start_time": 6404.26, "end_time": 6408.86, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1239, "text": "Are they hitting the milestones they're supposed to be doing?", "raw_text": "Are they hitting the milestones they're supposed to be doing?", "start_time": 6409.82, "end_time": 6411.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1240, "text": "What have they done?", "raw_text": "What have they done?", "start_time": 6412.22, "end_time": 6413.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1241, "text": "And just like the overall like I feel like that's all just making the pulling in all the data, lining it up together to make sure it's project specific and then like analyzing it and writing a report and like one way to do that if the context keeps growing is like if you do this every couple days or like however often you have a cron job instead of every time you have to access all the context you could just have like a daily update that you run as a cron job that like each day you just check the old one and I mean if it starts to diminish you can like reset it but you just basically have like a semantic summary of all your key details that like you can use in context instead of everything.", "raw_text": "And just like the overall like I feel like that's all just making the pulling in all the data, lining it up together to make sure it's project specific and then like analyzing it and writing a report and like one way to do that if the context keeps growing is like if you do this every couple days or like however often you have a cron job instead of every time you have to access all the context you could just have like a daily update that you run as a cron job that like each day you just check the old one and I mean if it starts to diminish you can like reset it but you just basically have like a semantic summary of all your key details that like you can use in context instead of everything.", "start_time": 6413.98, "end_time": 6451.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1242, "text": "Yeah, yeah, I would agree with that.", "raw_text": "Yeah, yeah, I would agree with that.", "start_time": 6453.07, "end_time": 6456.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1243, "text": "But I guess like next steps on that, would that be something of like I imagine like, like say we wanted to do that system, we just like try to go talk to Sam with his, the user stories and say like hey if I build, if we built out a dashboard and we put it with these features and then you plugged in like your Claude code to it like is that going to be useful to you?", "raw_text": "But I guess like next steps on that, would that be something of like I imagine like, like say we wanted to do that system, we just like try to go talk to Sam with his, the user stories and say like hey if I build, if we built out a dashboard and we put it with these features and then you plugged in like your Claude code to it like is that going to be useful to you?", "start_time": 6458.03, "end_time": 6481.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1244, "text": "And that would be like next steps there.", "raw_text": "And that would be like next steps there.", "start_time": 6481.69, "end_time": 6483.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1245, "text": "Yeah, and I think he probably has a good starting point too.", "raw_text": "Yeah, and I think he probably has a good starting point too.", "start_time": 6485.21, "end_time": 6490.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1246, "text": "Yeah, just it's not reproducible across multiple people.", "raw_text": "Yeah, just it's not reproducible across multiple people.", "start_time": 6490.53, "end_time": 6495.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1247, "text": "Yeah, yeah he's already got like a lot of like templates and stuff.", "raw_text": "Yeah, yeah he's already got like a lot of like templates and stuff.", "start_time": 6496.89, "end_time": 6500.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1248, "text": "Yeah, you're talking Sam stuff.", "raw_text": "Yeah, you're talking Sam stuff.", "start_time": 6501.03, "end_time": 6503.99, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1249, "text": "Yeah, I feel like for the, that like the project summary context, like the stuff you want to share, we just need to post that in one place and it's not like it's not editable, it's driven by all automations.", "raw_text": "Yeah, I feel like for the, that like the project summary context, like the stuff you want to share, we just need to post that in one place and it's not like it's not editable, it's driven by all automations.", "start_time": 6505.99, "end_time": 6523.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1250, "text": "Yeah, it's a kind of like a read only thing that.", "raw_text": "Yeah, it's a kind of like a read only thing that.", "start_time": 6523.75, "end_time": 6526.03, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1251, "text": "I mean you're using a folding to do your own personal and other.", "raw_text": "I mean you're using a folding to do your own personal and other.", "start_time": 6526.03, "end_time": 6528.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1252, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6529.44, "end_time": 6529.84, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1253, "text": "Stuff right?", "raw_text": "Stuff right?", "start_time": 6529.84, "end_time": 6530.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1254, "text": "Like.", "raw_text": "Like.", "start_time": 6530.64, "end_time": 6531.04, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1255, "text": "Yep.", "raw_text": "Yep.", "start_time": 6531.04, "end_time": 6531.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1256, "text": "And I mean I'm a very like I think the two options do that is either GET or SharePoint and if it's going to be read only like SharePoint super easy then you can just sync it locally and call it a day.", "raw_text": "And I mean I'm a very like I think the two options do that is either GET or SharePoint and if it's going to be read only like SharePoint super easy then you can just sync it locally and call it a day.", "start_time": 6531.64, "end_time": 6544.88, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1257, "text": "Yep.", "raw_text": "Yep.", "start_time": 6546.32, "end_time": 6546.88, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1258, "text": "Yeah, I agree with that.", "raw_text": "Yeah, I agree with that.", "start_time": 6550, "end_time": 6551.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1259, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6562.73, "end_time": 6563.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1260, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 6563.01, "end_time": 6563.53, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1261, "text": "I guess bigger bang for the buck.", "raw_text": "I guess bigger bang for the buck.", "start_time": 6563.53, "end_time": 6567.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1262, "text": "Starting there or starting on the blues.", "raw_text": "Starting there or starting on the blues.", "start_time": 6568.41, "end_time": 6570.569, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1263, "text": "Like lead gen target seems pretty intriguing to me.", "raw_text": "Like lead gen target seems pretty intriguing to me.", "start_time": 6574.89, "end_time": 6577.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1264, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6578.81, "end_time": 6579.13, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1265, "text": "I mean so for lead gen targets.", "raw_text": "I mean so for lead gen targets.", "start_time": 6579.13, "end_time": 6581.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1266, "text": "And content again, even though contention is low effort or low impact.", "raw_text": "And content again, even though contention is low effort or low impact.", "start_time": 6581.96, "end_time": 6587.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1267, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6588.92, "end_time": 6589.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1268, "text": "I feel like content gen could be higher.", "raw_text": "I feel like content gen could be higher.", "start_time": 6589.4, "end_time": 6591.28, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1269, "text": "It's like I don't know my issue with the.", "raw_text": "It's like I don't know my issue with the.", "start_time": 6591.28, "end_time": 6595.08, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1270, "text": "Or not my issue.", "raw_text": "Or not my issue.", "start_time": 6595.16, "end_time": 6596.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1271, "text": "That's my question with like content gen or content gen Legion Discovery Prep.", "raw_text": "That's my question with like content gen or content gen Legion Discovery Prep.", "start_time": 6596.64, "end_time": 6603.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1272, "text": "Like I. I feel like again like I guess you don't need a dashboard or like I guess the way you give it to people is whatever.", "raw_text": "Like I. I feel like again like I guess you don't need a dashboard or like I guess the way you give it to people is whatever.", "start_time": 6603.96, "end_time": 6610.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1273, "text": "But I feel like you, you end up here as like okay, like content gen. How I would want or how I imagine like content gen could work is like name a topic and then we have like our voice kind of built in and then start like it can give you either some ideas that you can choose from and then you can like guide it or just say like hey, here's a context voice dump of like my thoughts.", "raw_text": "But I feel like you, you end up here as like okay, like content gen. How I would want or how I imagine like content gen could work is like name a topic and then we have like our voice kind of built in and then start like it can give you either some ideas that you can choose from and then you can like guide it or just say like hey, here's a context voice dump of like my thoughts.", "start_time": 6610.12, "end_time": 6632.51, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1274, "text": "Basically like what Paul does when he says something to vivid front.", "raw_text": "Basically like what Paul does when he says something to vivid front.", "start_time": 6632.67, "end_time": 6634.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1275, "text": "He's like this is what I want to get off my chest.", "raw_text": "He's like this is what I want to get off my chest.", "start_time": 6634.99, "end_time": 6636.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1276, "text": "Insert whatever he's talking about and then like clean this up into our voice and then it comes back.", "raw_text": "Insert whatever he's talking about and then like clean this up into our voice and then it comes back.", "start_time": 6637.55, "end_time": 6642.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1277, "text": "But then we would probably want to human in the loop here we just have this thing give out like different versions or just give back like a triage like okay, like here's your stuff ready to post it and like we can review it and then it like saves our edits.", "raw_text": "But then we would probably want to human in the loop here we just have this thing give out like different versions or just give back like a triage like okay, like here's your stuff ready to post it and like we can review it and then it like saves our edits.", "start_time": 6642.86, "end_time": 6654.3, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1278, "text": "Like that's basically what I built out for my.", "raw_text": "Like that's basically what I built out for my.", "start_time": 6654.3, "end_time": 6656.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1279, "text": "My thesis harness.", "raw_text": "My thesis harness.", "start_time": 6656.42, "end_time": 6657.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1280, "text": "And then like we could put that into a dashboard so anyone can access it and say like hey, here's topics I'm thinking about doing.", "raw_text": "And then like we could put that into a dashboard so anyone can access it and say like hey, here's topics I'm thinking about doing.", "start_time": 6657.74, "end_time": 6664.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1281, "text": "Or like I feel like the biggest issue with our marketing like content gen stuff is like.", "raw_text": "Or like I feel like the biggest issue with our marketing like content gen stuff is like.", "start_time": 6664.18, "end_time": 6668.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1282, "text": "Or even the arrangement letter and like quoting it's like having a good triage of like who's available.", "raw_text": "Or even the arrangement letter and like quoting it's like having a good triage of like who's available.", "start_time": 6669.03, "end_time": 6673.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1283, "text": "Because I think a lot of our like meetings when we try to figure that out, it's just kind of like who Paul or whoever's doing it, they put us on the calendar based on who's available.", "raw_text": "Because I think a lot of our like meetings when we try to figure that out, it's just kind of like who Paul or whoever's doing it, they put us on the calendar based on who's available.", "start_time": 6673.67, "end_time": 6682.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1284, "text": "But if we just had like a central spot of like here's all the quotes that need to be quoted.", "raw_text": "But if we just had like a central spot of like here's all the quotes that need to be quoted.", "start_time": 6682.55, "end_time": 6686.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1285, "text": "Here's the gap in our content schedule.", "raw_text": "Here's the gap in our content schedule.", "start_time": 6687.03, "end_time": 6689.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1286, "text": "Like someone just fill this and then we have a deadline where it just like pings people otherwise.", "raw_text": "Like someone just fill this and then we have a deadline where it just like pings people otherwise.", "start_time": 6689.75, "end_time": 6694.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1287, "text": "But I feel like that that would help.", "raw_text": "But I feel like that that would help.", "start_time": 6694.56, "end_time": 6696.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1288, "text": "But then that's like that that would be my thoughts on that kind of the deal and tell part of this.", "raw_text": "But then that's like that that would be my thoughts on that kind of the deal and tell part of this.", "start_time": 6696.44, "end_time": 6701.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1289, "text": "I think it's a.", "raw_text": "I think it's a.", "start_time": 6701.76, "end_time": 6702.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1290, "text": "It's like a content gen PM essentially.", "raw_text": "It's like a content gen PM essentially.", "start_time": 6705.36, "end_time": 6709.12, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1291, "text": "Like it's driving us to do stuff that we should be doing.", "raw_text": "Like it's driving us to do stuff that we should be doing.", "start_time": 6709.12, "end_time": 6713.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1292, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6714.72, "end_time": 6715.28, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1293, "text": "And then the other area, I mean aside from like the just the content gen itself but like it's more than that.", "raw_text": "And then the other area, I mean aside from like the just the content gen itself but like it's more than that.", "start_time": 6715.84, "end_time": 6722.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1294, "text": "It's like forcing us to do it or like holding us accountable to do it.", "raw_text": "It's like forcing us to do it or like holding us accountable to do it.", "start_time": 6722.82, "end_time": 6729.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1295, "text": "And then the other area would be straight up just harvesting stuff.", "raw_text": "And then the other area would be straight up just harvesting stuff.", "start_time": 6731.7, "end_time": 6741.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1296, "text": "We already have like every Fireflies call we might have talked about something like on these calls, like we're talking about very interesting topics like this call, like this call or my, my talk.", "raw_text": "We already have like every Fireflies call we might have talked about something like on these calls, like we're talking about very interesting topics like this call, like this call or my, my talk.", "start_time": 6741.14, "end_time": 6751.98, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1297, "text": "Murph and I talking this morning about like foundation architecture.", "raw_text": "Murph and I talking this morning about like foundation architecture.", "start_time": 6752.46, "end_time": 6755.58, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1298, "text": "Like those could be like turned into blogs easily.", "raw_text": "Like those could be like turned into blogs easily.", "start_time": 6755.58, "end_time": 6759.66, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1299, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6763.34, "end_time": 6763.9, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1300, "text": "And that's not necessarily a user saying like I have an idea to talk about this.", "raw_text": "And that's not necessarily a user saying like I have an idea to talk about this.", "start_time": 6766.46, "end_time": 6771.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1301, "text": "It's like literally using all the data we're capturing, looking at our GitHub commits.", "raw_text": "It's like literally using all the data we're capturing, looking at our GitHub commits.", "start_time": 6771.14, "end_time": 6777.43, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1302, "text": "Are we doing anything interesting in code?", "raw_text": "Are we doing anything interesting in code?", "start_time": 6778.79, "end_time": 6780.79, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1303, "text": "Are we talking about anything interesting in these calls?", "raw_text": "Are we talking about anything interesting in these calls?", "start_time": 6781.35, "end_time": 6783.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1304, "text": "Oh, this project just wrapped up.", "raw_text": "Oh, this project just wrapped up.", "start_time": 6783.91, "end_time": 6785.83, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1305, "text": "We should do a cake.", "raw_text": "We should do a cake.", "start_time": 6785.83, "end_time": 6787.15, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1306, "text": "We should do a case study with them.", "raw_text": "We should do a case study with them.", "start_time": 6787.15, "end_time": 6791.19, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1307, "text": "Then it takes it a step further.", "raw_text": "Then it takes it a step further.", "start_time": 6796.39, "end_time": 6797.59, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1308, "text": "Like now it's actually making like full blown stuff without anyone having an idea to make something.", "raw_text": "Like now it's actually making like full blown stuff without anyone having an idea to make something.", "start_time": 6797.59, "end_time": 6803.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1309, "text": "Like couple it with our voice, that voice harness, like the voice of how we talk.", "raw_text": "Like couple it with our voice, that voice harness, like the voice of how we talk.", "start_time": 6806.82, "end_time": 6811.78, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1310, "text": "But.", "raw_text": "But.", "start_time": 6811.78, "end_time": 6812.18, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1311, "text": "And then I think in the lead gen one, I don't know, the stuff Christopher was showing me did look pretty sick on his like LinkedIn scraper.", "raw_text": "And then I think in the lead gen one, I don't know, the stuff Christopher was showing me did look pretty sick on his like LinkedIn scraper.", "start_time": 6839.23, "end_time": 6851.47, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1312, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6852.52, "end_time": 6852.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1313, "text": "Yeah, I guess like if it's like sitting down with them and like, hey, just give us this code, then we turn it into something that could be like work for everybody in the company or maybe it won't work.", "raw_text": "Yeah, I guess like if it's like sitting down with them and like, hey, just give us this code, then we turn it into something that could be like work for everybody in the company or maybe it won't work.", "start_time": 6853.32, "end_time": 6867.44, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1314, "text": "Maybe we decide like, oh, this is really not useful for company wide.", "raw_text": "Maybe we decide like, oh, this is really not useful for company wide.", "start_time": 6867.44, "end_time": 6875.32, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1315, "text": "But.", "raw_text": "But.", "start_time": 6875.4, "end_time": 6875.8, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1316, "text": "Yeah, to me I think that's just like that one is the first and only step is like get details from Christopher on what he's doing and like let's see if there's value there to make it work for like someone like you already asked.", "raw_text": "Yeah, to me I think that's just like that one is the first and only step is like get details from Christopher on what he's doing and like let's see if there's value there to make it work for like someone like you already asked.", "start_time": 6880.05, "end_time": 6897.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1317, "text": "Paul R.S.", "raw_text": "Paul R.S.", "start_time": 6897.89, "end_time": 6898.61, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1318, "text": "Reed did like basically making the same thing on his Mac Mini.", "raw_text": "Reed did like basically making the same thing on his Mac Mini.", "start_time": 6898.61, "end_time": 6902.21, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1319, "text": "So if we're gonna do that effort like we should just make it work for everybody.", "raw_text": "So if we're gonna do that effort like we should just make it work for everybody.", "start_time": 6902.21, "end_time": 6906.29, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1320, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6909.33, "end_time": 6909.89, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1321, "text": "Yeah, I guess that's like because yeah.", "raw_text": "Yeah, I guess that's like because yeah.", "start_time": 6912.69, "end_time": 6915.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1322, "text": "Right now he's kind of got it in like, this agent harness, and then basically, like, what it ends up for Christopher is he's just got an extra, like, dashboard.", "raw_text": "Right now he's kind of got it in like, this agent harness, and then basically, like, what it ends up for Christopher is he's just got an extra, like, dashboard.", "start_time": 6915.45, "end_time": 6922.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1323, "text": "So then that was kind of where it's like.", "raw_text": "So then that was kind of where it's like.", "start_time": 6923.41, "end_time": 6925.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1324, "text": "Yeah, I agree.", "raw_text": "Yeah, I agree.", "start_time": 6925.81, "end_time": 6926.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1325, "text": "I guess it's like if we want to make it work for everyone, like, what he's doing is just build a dashboard for all his use cases.", "raw_text": "I guess it's like if we want to make it work for everyone, like, what he's doing is just build a dashboard for all his use cases.", "start_time": 6926.53, "end_time": 6931.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1326, "text": "But I know earlier we talked about, like, well, that wouldn't be clear next steps because it's not like adoption.", "raw_text": "But I know earlier we talked about, like, well, that wouldn't be clear next steps because it's not like adoption.", "start_time": 6931.09, "end_time": 6936.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1327, "text": "So I guess.", "raw_text": "So I guess.", "start_time": 6936.36, "end_time": 6937, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1328, "text": "I mean, I guess we could just talk to them, but I'm just struggling with, like, what.", "raw_text": "I mean, I guess we could just talk to them, but I'm just struggling with, like, what.", "start_time": 6937, "end_time": 6940.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1329, "text": "What to do next.", "raw_text": "What to do next.", "start_time": 6940.44, "end_time": 6941.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1330, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 6949.88, "end_time": 6950.52, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1331, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 6959.65, "end_time": 6960.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1332, "text": "The blue ones to me seem like they have higher impact.", "raw_text": "The blue ones to me seem like they have higher impact.", "start_time": 6960.01, "end_time": 6962.85, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1333, "text": "I know it doesn't really read that way on this screen.", "raw_text": "I know it doesn't really read that way on this screen.", "start_time": 6963.01, "end_time": 6967.33, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1334, "text": "Yeah, I mean, the.", "raw_text": "Yeah, I mean, the.", "start_time": 6968.61, "end_time": 6969.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1335, "text": "The blue ones are the ones that just help us make more money.", "raw_text": "The blue ones are the ones that just help us make more money.", "start_time": 6969.41, "end_time": 6971.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1336, "text": "I mean, although theoretically.", "raw_text": "I mean, although theoretically.", "start_time": 6972.45, "end_time": 6974.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1337, "text": "Yeah, that is true.", "raw_text": "Yeah, that is true.", "start_time": 6975.33, "end_time": 6976.65, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1338, "text": "I think.", "raw_text": "I think.", "start_time": 6976.65, "end_time": 6977.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1339, "text": "I.", "raw_text": "I.", "start_time": 6977.01, "end_time": 6977.37, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1340, "text": "Like, we.", "raw_text": "Like, we.", "start_time": 6977.37, "end_time": 6978.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1341, "text": "We didn't.", "raw_text": "We didn't.", "start_time": 6978.37, "end_time": 6978.97, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1342, "text": "We definitely weren't very efficient last year on the green side, but we hired Sam and Sam's kind of got it under control.", "raw_text": "We definitely weren't very efficient last year on the green side, but we hired Sam and Sam's kind of got it under control.", "start_time": 6978.97, "end_time": 6987.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1343, "text": "I think it's trending in the right way.", "raw_text": "I think it's trending in the right way.", "start_time": 6987.74, "end_time": 6989.5, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1344, "text": "Yeah, I guess you could just.", "raw_text": "Yeah, I guess you could just.", "start_time": 6992.38, "end_time": 6993.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1345, "text": "Yeah, you could make a pretty good argument of like, Sam's kind of already doing phase one for all the green stuff, and then we can just be there to help share it.", "raw_text": "Yeah, you could make a pretty good argument of like, Sam's kind of already doing phase one for all the green stuff, and then we can just be there to help share it.", "start_time": 6993.9, "end_time": 7001.66, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1346, "text": "Yeah, like, we can like, or whenever he gets stuck, like, he needs more data.", "raw_text": "Yeah, like, we can like, or whenever he gets stuck, like, he needs more data.", "start_time": 7003.34, "end_time": 7008.7, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1347, "text": "Here you go.", "raw_text": "Here you go.", "start_time": 7009.5, "end_time": 7010.22, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1348, "text": "And then let that get a little bit more mature.", "raw_text": "And then let that get a little bit more mature.", "start_time": 7013.62, "end_time": 7015.34, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1349, "text": "And then we just, like, productize it into.", "raw_text": "And then we just, like, productize it into.", "start_time": 7015.34, "end_time": 7017.14, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1350, "text": "And Sam's a very good communicator.", "raw_text": "And Sam's a very good communicator.", "start_time": 7023.06, "end_time": 7024.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1351, "text": "So like, when he's doing this stuff and like, we ask him, like, okay, how do we productize it?", "raw_text": "So like, when he's doing this stuff and like, we ask him, like, okay, how do we productize it?", "start_time": 7024.74, "end_time": 7029.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1352, "text": "Like, he'll be able to tell us and we can do it.", "raw_text": "Like, he'll be able to tell us and we can do it.", "start_time": 7029.86, "end_time": 7032.82, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1353, "text": "Christopher, he's running wild, going crazy.", "raw_text": "Christopher, he's running wild, going crazy.", "start_time": 7035.46, "end_time": 7037.86, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1354, "text": "It's open call, and I don't think he knows exactly what it.", "raw_text": "It's open call, and I don't think he knows exactly what it.", "start_time": 7038.18, "end_time": 7041.54, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1355, "text": "What it's even doing.", "raw_text": "What it's even doing.", "start_time": 7041.54, "end_time": 7042.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1356, "text": "So it'd be good to wrap our head around that or, like, figure out how to get that in like a little bit more productized state.", "raw_text": "So it'd be good to wrap our head around that or, like, figure out how to get that in like a little bit more productized state.", "start_time": 7042.72, "end_time": 7050.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1357, "text": "Yeah, I can sit down with them and we.", "raw_text": "Yeah, I can sit down with them and we.", "start_time": 7052.72, "end_time": 7055.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1358, "text": "Whatever.", "raw_text": "Whatever.", "start_time": 7055.92, "end_time": 7056.4, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1359, "text": "We can sit down with them and talk through that.", "raw_text": "We can sit down with them and talk through that.", "start_time": 7056.4, "end_time": 7058.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1360, "text": "I mean, I know, like, at least from what the dashboard looks like, it's like, okay, I'm.", "raw_text": "I mean, I know, like, at least from what the dashboard looks like, it's like, okay, I'm.", "start_time": 7058.2, "end_time": 7062.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1361, "text": "It's scraping between all the connections on linked because I went back and forth to them.", "raw_text": "It's scraping between all the connections on linked because I went back and forth to them.", "start_time": 7062.8, "end_time": 7066.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1362, "text": "I like when we were in Nashville, I like all the business cards I collected, all the people I talked to.", "raw_text": "I like when we were in Nashville, I like all the business cards I collected, all the people I talked to.", "start_time": 7066.04, "end_time": 7070.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1363, "text": "I just made like a Google Doc.", "raw_text": "I just made like a Google Doc.", "start_time": 7070.62, "end_time": 7071.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1364, "text": "I was like, okay, like, here's all the leads I have and then I just gave them to Christopher.", "raw_text": "I was like, okay, like, here's all the leads I have and then I just gave them to Christopher.", "start_time": 7071.82, "end_time": 7075.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1365, "text": "I'm like, all right, like I. I'm working or I had, I forget I had something else, a project.", "raw_text": "I'm like, all right, like I. I'm working or I had, I forget I had something else, a project.", "start_time": 7075.26, "end_time": 7079.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1366, "text": "So yeah, I'll like follow up on all these leads.", "raw_text": "So yeah, I'll like follow up on all these leads.", "start_time": 7079.82, "end_time": 7081.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1367, "text": "And then a couple meetings I like reached out to and handed them personally and then like push the rest of Christopher.", "raw_text": "And then a couple meetings I like reached out to and handed them personally and then like push the rest of Christopher.", "start_time": 7081.74, "end_time": 7086.46, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1368, "text": "So then he like took those plus the ones he did and then he just had like a map of like, who are all those people?", "raw_text": "So then he like took those plus the ones he did and then he just had like a map of like, who are all those people?", "start_time": 7086.62, "end_time": 7092.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1369, "text": "And like, who are we like secondary connections to who are we first connections to?", "raw_text": "And like, who are we like secondary connections to who are we first connections to?", "start_time": 7092.46, "end_time": 7096.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1370, "text": "And then like, what companies are they?", "raw_text": "And then like, what companies are they?", "start_time": 7096.44, "end_time": 7098.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1371, "text": "And then do they fit in our like, target market?", "raw_text": "And then do they fit in our like, target market?", "start_time": 7098.2, "end_time": 7101.4, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1372, "text": "And then what companies could they talk to?", "raw_text": "And then what companies could they talk to?", "start_time": 7101.72, "end_time": 7104.04, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1373, "text": "And they basically just like scoped that against Moreland.", "raw_text": "And they basically just like scoped that against Moreland.", "start_time": 7104.04, "end_time": 7106.12, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1374, "text": "And then he had like a graph that like showed those off and then he would just say like, okay, like what are the next level of connections that it could find?", "raw_text": "And then he had like a graph that like showed those off and then he would just say like, okay, like what are the next level of connections that it could find?", "start_time": 7106.12, "end_time": 7113.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1375, "text": "Which I wonder how it did that part.", "raw_text": "Which I wonder how it did that part.", "start_time": 7113.72, "end_time": 7115.64, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1376, "text": "And Also I thought LinkedIn scraping was like pretty tough, but Claude didn't find any, so I guess we just solved that issue.", "raw_text": "And Also I thought LinkedIn scraping was like pretty tough, but Claude didn't find any, so I guess we just solved that issue.", "start_time": 7115.64, "end_time": 7120.92, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1377, "text": "Yeah, I don't know.", "raw_text": "Yeah, I don't know.", "start_time": 7122.78, "end_time": 7126.42, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1378, "text": "Claude can't natively do that.", "raw_text": "Claude can't natively do that.", "start_time": 7126.42, "end_time": 7127.74, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1379, "text": "I think that OpenClaw installed something else to do it.", "raw_text": "I think that OpenClaw installed something else to do it.", "start_time": 7127.74, "end_time": 7132.38, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1380, "text": "Well, that's true, but normally, like, I would give Claude LinkedIn information and it would like, it wouldn't even be able to like pull up the page.", "raw_text": "Well, that's true, but normally, like, I would give Claude LinkedIn information and it would like, it wouldn't even be able to like pull up the page.", "start_time": 7132.78, "end_time": 7138.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1381, "text": "But I was doing me and Boone are talking for Goldberg's class and I gave it me and Boone's links and it pulled in all our info off our linkedins.", "raw_text": "But I was doing me and Boone are talking for Goldberg's class and I gave it me and Boone's links and it pulled in all our info off our linkedins.", "start_time": 7138.94, "end_time": 7145.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1382, "text": "Oh, really?", "raw_text": "Oh, really?", "start_time": 7146.79, "end_time": 7147.27, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1383, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 7147.67, "end_time": 7147.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1384, "text": "I hadn't seen it do that before.", "raw_text": "I hadn't seen it do that before.", "start_time": 7147.99, "end_time": 7149.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1385, "text": "I didn't think it was going to work, but it like, it totally like, it tried to write a summary on Boone from like its content.", "raw_text": "I didn't think it was going to work, but it like, it totally like, it tried to write a summary on Boone from like its content.", "start_time": 7149.11, "end_time": 7154.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1386, "text": "It called me Kaden Rosenbaum today.", "raw_text": "It called me Kaden Rosenbaum today.", "start_time": 7154.87, "end_time": 7156.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1387, "text": "Somehow it thought I was Mike Rosenbaum.", "raw_text": "Somehow it thought I was Mike Rosenbaum.", "start_time": 7156.91, "end_time": 7159.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1388, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 7159.23, "end_time": 7159.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1389, "text": "I was like, well, how do you not know my last name?", "raw_text": "I was like, well, how do you not know my last name?", "start_time": 7159.47, "end_time": 7161.27, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1390, "text": "But it wrote some random thing for Boone and I was like, no, like, use his LinkedIn.", "raw_text": "But it wrote some random thing for Boone and I was like, no, like, use his LinkedIn.", "start_time": 7161.27, "end_time": 7166.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1391, "text": "And I gave it the link and it just completely made his whole bio right with like his past stuff.", "raw_text": "And I gave it the link and it just completely made his whole bio right with like his past stuff.", "start_time": 7166.23, "end_time": 7170.23, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1392, "text": "So it like clearly pulled in the data.", "raw_text": "So it like clearly pulled in the data.", "start_time": 7170.23, "end_time": 7171.83, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1393, "text": "Yeah, I gotta jump on this three, but I think this is a really good conversation.", "raw_text": "Yeah, I gotta jump on this three, but I think this is a really good conversation.", "start_time": 7173.36, "end_time": 7178.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1394, "text": "We probably need other follow ups.", "raw_text": "We probably need other follow ups.", "start_time": 7178.96, "end_time": 7181.16, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1395, "text": "But to me the gaps on the green are like I and K. So I was probably just gonna work on I and K and K. I think I could just use a lot of stuff that Christopher in the garage already did.", "raw_text": "But to me the gaps on the green are like I and K. So I was probably just gonna work on I and K and K. I think I could just use a lot of stuff that Christopher in the garage already did.", "start_time": 7181.16, "end_time": 7196.24, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1396, "text": "And then I think it's for us, the next steps are like, do we focus on the I think we gotta focus on the purple stuff, the spark.", "raw_text": "And then I think it's for us, the next steps are like, do we focus on the I think we gotta focus on the purple stuff, the spark.", "start_time": 7200.28, "end_time": 7207.64, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1397, "text": "And do we focus on outside of that?", "raw_text": "And do we focus on outside of that?", "start_time": 7210.52, "end_time": 7213.68, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1398, "text": "Do we focus on green or blue?", "raw_text": "Do we focus on green or blue?", "start_time": 7213.68, "end_time": 7218.12, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1399, "text": "I'd probably lean towards blue, but I guess tbd.", "raw_text": "I'd probably lean towards blue, but I guess tbd.", "start_time": 7219.56, "end_time": 7223.08, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1400, "text": "I mean, I'd really like to gather some guys to work on this part stuff.", "raw_text": "I mean, I'd really like to gather some guys to work on this part stuff.", "start_time": 7224.29, "end_time": 7229.57, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1401, "text": "I think I'm being pretty foundation skateboard heavy next, you know, couple weeks here.", "raw_text": "I think I'm being pretty foundation skateboard heavy next, you know, couple weeks here.", "start_time": 7230.45, "end_time": 7237.01, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1402, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 7237.25, "end_time": 7237.81, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1403, "text": "So I think that's gonna be super, super important.", "raw_text": "So I think that's gonna be super, super important.", "start_time": 7238.93, "end_time": 7242.45, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1404, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 7242.93, "end_time": 7243.41, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1405, "text": "All right, I gotta run.", "raw_text": "All right, I gotta run.", "start_time": 7244.53, "end_time": 7246.13, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1406, "text": "All right.", "raw_text": "All right.", "start_time": 7247.41, "end_time": 7248.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1407, "text": "See you guys later.", "raw_text": "See you guys later.", "start_time": 7248.01, "end_time": 7248.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1408, "text": "Yep.", "raw_text": "Yep.", "start_time": 7249.09, "end_time": 7249.6, "speaker_id": 1, "speaker_name": "Justin Wray"}, {"index": 1409, "text": "Serial.", "raw_text": "Serial.", "start_time": 7249.75, "end_time": 7275.13, "speaker_id": 1, "speaker_name": "Justin Wray"}]
participant_count
5
participants
[{"email": "caden.kacmarynski@morelandconnect.com", "name": null}, {"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "nick.buzzy@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KMG1ETF9YCY0KGRA6FP9E3HW | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KMG1ETF9YCY0KGRA6FP9E3HW
title
Foundation Stand up
date
2026-03-31 15:00:00+00:00
duration_minutes
60
duration
60
transcript_url
https://app.fireflies.ai/view/01KMG1ETF9YCY0KGRA6FP9E3HW
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_N2RjNGFmMmUtMTY4NC00Y2NiLWIyYzctYzA4ODZkNTkzMDEx@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team discussed significant advancements in app development aimed at enhancing user experience through personalized apps featuring six widget types, enabling users to run workflows and view logs. Key integrations for client portals using API-driven displays were emphasized, allowing clients to embed outputs via React components. The security of sandboxed JSX/TSX apps, tied to Vercel, was another focus area, exploring options like AWS for hosting. Improvements to the admin console and debugging tools were highlighted to support user roles and address visibility issues. The exploration of RAG technologies for knowledge management was also a key topic, with monthly knowledge-sharing sessions proposed to foster collaboration and remain current on tools and practices.
action_items
"\\n**Caden Kacmarynski**\\nDocument and share detailed use case transcripts from upcoming meetings with Christopher and Sam in the foundation chat (03:01)\\nContinue building out apps WYSIWYG dashboard, focusing on integrating key use cases and business user tooling for demos and onboarding (20:05)\\nExplore creating a UI or app to manage cron jobs for active workflows to improve user visibility and control (19:53)\\nShare app development updates with Mark Murphy thoroughly before planned out-of-office (34:30)\\nTest and record WYSIWYG features, onboard a business user for feedback, and prepare demo-ready apps for company exposure (34:50)\\nInvestigate and possibly assist with multi-environment staging setup for the data platform, coordinating with Mark Boone or others (30:40)\\nExplore the feasibility of alternative cloud hosting flavors (AWS vs. Vercel) for app sandboxes and related infrastructure (32:30)\\n\\n**Mark Murphy**\\nComplete admin console role cleanup and merge Foundation backend updates to support Safeguard workflows and UI flags (14:00)\\nProvide coaching or more detailed training on Brain Trust usage and agent debugging for Caden and the team; consider improving visibility inside AI nodes (15:30)\\nIntegrate event logging paired with workflow runs for better debugging and human-in-the-loop workflow management (18:00)\\nCoordinate architectural discussions with Caden on app data live CRUD operations and integration with Cube API for semantic layer access (48:00)\\nInvestigate approaches for RBAC enforcement in app data and SharePoint environment, including developing local test environments with fake data (51:00)\\nExplore MCP support inside Foundation app layer and the relationship to connectors, to enable user-driven MCP wiring with proper RBAC delegation (53:00)\\nInvestigate supply chain risk analysis tooling like Code Rabbit and coordinate possible integrations with the development pipeline (56:00)\\nOrganize monthly open forum lunch-and-learn sessions for sharing learning on workflows, AI, and other tooling with the team (58:30)\\n\\n**Justin Wray**\\nContinue support and enhancements on event page integration with apps and workflow monitoring as referenced (20:40)\\n\\n**Unassigned**\\nAssess options for enhancing RAG capabilities for tribal knowledge and project context with possible routes being MCP storage, improving SharePoint workflows, or programmatic access to Claude projects (35:55)\\nResearch and prototype integrations of external RAG services like Google\\u2019s vector data indexing for documents and multimodal inputs (41:10)\\nContinue refining Brain Trust tracing and agent node instrumentation to improve developer observability (15:00)\\n"
transcript_text
[{"index": 0, "text": "I don't know if you know, but in the business they call us a coupon.", "raw_text": "I don't know if you know, but in the business they call us a coupon.", "start_time": 26.89, "end_time": 30.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 1, "text": "No, thank you.", "raw_text": "No, thank you.", "start_time": 59.79, "end_time": 60.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 2, "text": "It's just you and me.", "raw_text": "It's just you and me.", "start_time": 86.14, "end_time": 86.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 3, "text": "Yeah, it looks like.", "raw_text": "Yeah, it looks like.", "start_time": 181.06, "end_time": 181.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 4, "text": "No, it might just be us.", "raw_text": "No, it might just be us.", "start_time": 181.78, "end_time": 183.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 5, "text": "I just kind of got that app stuff started right now I'm just prepping for this infosec call and then the next couple days.", "raw_text": "I just kind of got that app stuff started right now I'm just prepping for this infosec call and then the next couple days.", "start_time": 183.38, "end_time": 189.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 6, "text": "So I have a meeting with both Christopher and Sam and I'm just going to run through all their use cases and talk through the stuff we talked through with them.", "raw_text": "So I have a meeting with both Christopher and Sam and I'm just going to run through all their use cases and talk through the stuff we talked through with them.", "start_time": 189.26, "end_time": 195.139, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "I'll document it, send it to you.", "raw_text": "I'll document it, send it to you.", "start_time": 195.139, "end_time": 196.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 8, "text": "I didn't put on your calendar.", "raw_text": "I didn't put on your calendar.", "start_time": 197.22, "end_time": 198.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 9, "text": "We'll get it done quicker.", "raw_text": "We'll get it done quicker.", "start_time": 199.7, "end_time": 200.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 10, "text": "And I don't want to bother you guys, but I can send you the notes.", "raw_text": "And I don't want to bother you guys, but I can send you the notes.", "start_time": 200.62, "end_time": 203.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 11, "text": "And then I was going to try to just build them out on those apps.", "raw_text": "And then I was going to try to just build them out on those apps.", "start_time": 203.78, "end_time": 206.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 12, "text": "Yeah, just.", "raw_text": "Yeah, just.", "start_time": 206.6, "end_time": 207, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 13, "text": "Can you record them for me?", "raw_text": "Can you record them for me?", "start_time": 207, "end_time": 208.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 14, "text": "Yeah, I'll firefly everything.", "raw_text": "Yeah, I'll firefly everything.", "start_time": 208.24, "end_time": 209.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 15, "text": "I'll send you the transcript.", "raw_text": "I'll send you the transcript.", "start_time": 209.36, "end_time": 210.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 16, "text": "I think we need to figure out.", "raw_text": "I think we need to figure out.", "start_time": 210.6, "end_time": 212.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 17, "text": "I'll put them in the foundation chat so everyone has them.", "raw_text": "I'll put them in the foundation chat so everyone has them.", "start_time": 212.68, "end_time": 215.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 18, "text": "I think I was, oh, we gotta figure out.", "raw_text": "I think I was, oh, we gotta figure out.", "start_time": 221, "end_time": 224.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 19, "text": "Open stuff.", "raw_text": "Open stuff.", "start_time": 227.72, "end_time": 228.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 20, "text": "Gives me more time to work.", "raw_text": "Gives me more time to work.", "start_time": 228.64, "end_time": 229.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 21, "text": "When we get stuff done.", "raw_text": "When we get stuff done.", "start_time": 230.68, "end_time": 232.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 22, "text": "Like release notes.", "raw_text": "Like release notes.", "start_time": 233.62, "end_time": 236.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 23, "text": "Yes.", "raw_text": "Yes.", "start_time": 236.82, "end_time": 237.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "Type to the team.", "raw_text": "Type to the team.", "start_time": 237.46, "end_time": 239.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 25, "text": "It could be just like how Claude does it.", "raw_text": "It could be just like how Claude does it.", "start_time": 239.54, "end_time": 241.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 26, "text": "Like little videos, like almost like a tweet.", "raw_text": "Like little videos, like almost like a tweet.", "start_time": 241.74, "end_time": 245.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 27, "text": "When you say the team, do you mean the Moreland team or the foundation team?", "raw_text": "When you say the team, do you mean the Moreland team or the foundation team?", "start_time": 245.94, "end_time": 249.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 28, "text": "Both.", "raw_text": "Both.", "start_time": 249.94, "end_time": 250.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 29, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 250.5, "end_time": 250.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 30, "text": "But more so like the users.", "raw_text": "But more so like the users.", "start_time": 251.3, "end_time": 253.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 31, "text": "Like if we create something for Christopher or.", "raw_text": "Like if we create something for Christopher or.", "start_time": 253.18, "end_time": 256.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 32, "text": "Yeah, if you want to invite me to those, I'll try to join.", "raw_text": "Yeah, if you want to invite me to those, I'll try to join.", "start_time": 257.22, "end_time": 259.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 33, "text": "Okay.", "raw_text": "Okay.", "start_time": 259.86, "end_time": 260.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 34, "text": "If not is optional, I'll do that.", "raw_text": "If not is optional, I'll do that.", "start_time": 260.86, "end_time": 264.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 35, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 266.38, "end_time": 266.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 36, "text": "Because then I think like.", "raw_text": "Because then I think like.", "start_time": 266.82, "end_time": 268.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 37, "text": "That adoption and when we get stuff that's like more like Spark or coding harness related.", "raw_text": "That adoption and when we get stuff that's like more like Spark or coding harness related.", "start_time": 272.86, "end_time": 279.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 38, "text": "I think doing a better job like making people aware of what we have internally will be big.", "raw_text": "I think doing a better job like making people aware of what we have internally will be big.", "start_time": 280.86, "end_time": 287.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 39, "text": "And I kind of like, you know, Claude does their release stuff so frequently.", "raw_text": "And I kind of like, you know, Claude does their release stuff so frequently.", "start_time": 289.59, "end_time": 294.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 40, "text": "It's just like a tweet and like a video.", "raw_text": "It's just like a tweet and like a video.", "start_time": 294.35, "end_time": 296.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 41, "text": "It's like so easy to digest.", "raw_text": "It's like so easy to digest.", "start_time": 296.27, "end_time": 298.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 42, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 299.59, "end_time": 300.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 43, "text": "Like that's what it could be.", "raw_text": "Like that's what it could be.", "start_time": 300.11, "end_time": 301.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 44, "text": "It could be like on the general channel or the dev channel or something and just like.", "raw_text": "It could be like on the general channel or the dev channel or something and just like.", "start_time": 301.23, "end_time": 306.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 45, "text": "Well, we could, we could even automate some of it.", "raw_text": "Well, we could, we could even automate some of it.", "start_time": 307.35, "end_time": 309.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 46, "text": "Or the other thing too is it's.", "raw_text": "Or the other thing too is it's.", "start_time": 309.47, "end_time": 310.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 47, "text": "Like.", "raw_text": "Like.", "start_time": 310.79, "end_time": 311.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 48, "text": "Well reads a good test user but like in general doesn't have to.", "raw_text": "Well reads a good test user but like in general doesn't have to.", "start_time": 313.28, "end_time": 315.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 49, "text": "Like we could just have someone like checking those.", "raw_text": "Like we could just have someone like checking those.", "start_time": 315.8, "end_time": 318.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 50, "text": "I just feel like that would normally be.", "raw_text": "I just feel like that would normally be.", "start_time": 318.28, "end_time": 320.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 51, "text": "Well, or we just make the person responsible for it because I don't want to have to be that someone for all of them.", "raw_text": "Well, or we just make the person responsible for it because I don't want to have to be that someone for all of them.", "start_time": 320.48, "end_time": 324.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 52, "text": "Even for the stuff we're pushing.", "raw_text": "Even for the stuff we're pushing.", "start_time": 329.36, "end_time": 330.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 53, "text": "We're pushing stuff so fast.", "raw_text": "We're pushing stuff so fast.", "start_time": 330.6, "end_time": 331.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 54, "text": "Got like relearn.", "raw_text": "Got like relearn.", "start_time": 331.6, "end_time": 332.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 55, "text": "I mean we just Asked cloud code to explain to us.", "raw_text": "I mean we just Asked cloud code to explain to us.", "start_time": 332.44, "end_time": 335.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 56, "text": "It's not like that big a deal.", "raw_text": "It's not like that big a deal.", "start_time": 335.12, "end_time": 336.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 57, "text": "And I try.", "raw_text": "And I try.", "start_time": 336.68, "end_time": 337.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 58, "text": "Like, I'm not going to understand it till I mess with it anyways.", "raw_text": "Like, I'm not going to understand it till I mess with it anyways.", "start_time": 337.2, "end_time": 339.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 59, "text": "But even if, like, if you build it, I mean, we have docs and we have some standard there, but just having that, like, set ready to go.", "raw_text": "But even if, like, if you build it, I mean, we have docs and we have some standard there, but just having that, like, set ready to go.", "start_time": 339.76, "end_time": 346.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "And it's like, it's.", "raw_text": "And it's like, it's.", "start_time": 346.72, "end_time": 349.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 61, "text": "Yeah, they get ridiculous, but it's like if every, like, major change or whatever we deem as like, releases, we like update those.", "raw_text": "Yeah, they get ridiculous, but it's like if every, like, major change or whatever we deem as like, releases, we like update those.", "start_time": 349.28, "end_time": 355.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 62, "text": "Plus if we had a folder like, separate from the code where we were just dumping those in, we just pull marketing from it.", "raw_text": "Plus if we had a folder like, separate from the code where we were just dumping those in, we just pull marketing from it.", "start_time": 355.08, "end_time": 360.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 63, "text": "Like we do a marketing post every time.", "raw_text": "Like we do a marketing post every time.", "start_time": 360.52, "end_time": 362.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 64, "text": "Oh, shit.", "raw_text": "Oh, shit.", "start_time": 364.16, "end_time": 364.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 65, "text": "Everything just pinned.", "raw_text": "Everything just pinned.", "start_time": 392.34, "end_time": 393.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 66, "text": "Color.", "raw_text": "Color.", "start_time": 393.62, "end_time": 394.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 67, "text": "I hate this.", "raw_text": "I hate this.", "start_time": 395.38, "end_time": 396.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 68, "text": "Oh, hey.", "raw_text": "Oh, hey.", "start_time": 468.37, "end_time": 471.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 69, "text": "Sorry.", "raw_text": "Sorry.", "start_time": 471.33, "end_time": 471.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 70, "text": "We were.", "raw_text": "We were.", "start_time": 471.65, "end_time": 472.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 71, "text": "We were doing.", "raw_text": "We were doing.", "start_time": 472.01, "end_time": 472.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 72, "text": "Sam and I were doing some squad check ins, so we just wrapped up there.", "raw_text": "Sam and I were doing some squad check ins, so we just wrapped up there.", "start_time": 473.41, "end_time": 476.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 73, "text": "No worries.", "raw_text": "No worries.", "start_time": 477.49, "end_time": 478.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 74, "text": "Justin's in the background too.", "raw_text": "Justin's in the background too.", "start_time": 478.13, "end_time": 479.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 75, "text": "What's up, dude?", "raw_text": "What's up, dude?", "start_time": 480.85, "end_time": 481.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 76, "text": "So did you get that database connection stuff figured out?", "raw_text": "So did you get that database connection stuff figured out?", "start_time": 482.61, "end_time": 487.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 77, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 487.89, "end_time": 489.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 78, "text": "I'm gonna do one.", "raw_text": "I'm gonna do one.", "start_time": 489.73, "end_time": 490.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 79, "text": "One follow up commit because I didn't realize it was a.", "raw_text": "One follow up commit because I didn't realize it was a.", "start_time": 491.49, "end_time": 494.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 80, "text": "That environment issue.", "raw_text": "That environment issue.", "start_time": 495.3, "end_time": 496.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 81, "text": "I thought it was part of that change.", "raw_text": "I thought it was part of that change.", "start_time": 496.22, "end_time": 497.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 82, "text": "So I was trying stuff on Friday, but yeah, it's.", "raw_text": "So I was trying stuff on Friday, but yeah, it's.", "start_time": 497.7, "end_time": 500.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 83, "text": "It's all good now in pride.", "raw_text": "It's all good now in pride.", "start_time": 500.86, "end_time": 502.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 84, "text": "Cool.", "raw_text": "Cool.", "start_time": 503.14, "end_time": 503.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 85, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 505.62, "end_time": 506.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 86, "text": "But, yeah, we were just wrapping up some null squad and garage squad check ins.", "raw_text": "But, yeah, we were just wrapping up some null squad and garage squad check ins.", "start_time": 509.78, "end_time": 514.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 87, "text": "All good there.", "raw_text": "All good there.", "start_time": 515.7, "end_time": 516.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 88, "text": "Sorry we're a little late.", "raw_text": "Sorry we're a little late.", "start_time": 518.58, "end_time": 519.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 89, "text": "How's the fan?", "raw_text": "How's the fan?", "start_time": 521.15, "end_time": 521.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 90, "text": "We're hanging in there.", "raw_text": "We're hanging in there.", "start_time": 523.71, "end_time": 524.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 91, "text": "It's.", "raw_text": "It's.", "start_time": 526.59, "end_time": 527.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 92, "text": "Yeah, yeah, everyone's.", "raw_text": "Yeah, yeah, everyone's.", "start_time": 527.71, "end_time": 528.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 93, "text": "Everyone's doing all right today.", "raw_text": "Everyone's doing all right today.", "start_time": 528.91, "end_time": 530.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 94, "text": "I think Nat's probably hurting the worst today.", "raw_text": "I think Nat's probably hurting the worst today.", "start_time": 530.43, "end_time": 532.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 95, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 534.11, "end_time": 534.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 96, "text": "You battling sickness too?", "raw_text": "You battling sickness too?", "start_time": 534.51, "end_time": 535.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "Well, yeah.", "raw_text": "Well, yeah.", "start_time": 537.23, "end_time": 538.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 98, "text": "You haven't.", "raw_text": "You haven't.", "start_time": 538.43, "end_time": 538.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 99, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 538.99, "end_time": 539.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 100, "text": "So, Cadence, you haven't heard the.", "raw_text": "So, Cadence, you haven't heard the.", "start_time": 539.35, "end_time": 540.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 101, "text": "The full deal here.", "raw_text": "The full deal here.", "start_time": 540.67, "end_time": 541.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 102, "text": "Yes.", "raw_text": "Yes.", "start_time": 543.79, "end_time": 544.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 103, "text": "So I stayed home because Nat woke up with a fever yesterday taking care of the kids.", "raw_text": "So I stayed home because Nat woke up with a fever yesterday taking care of the kids.", "start_time": 544.51, "end_time": 548.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 104, "text": "And then at nap time, she was carrying Marky down the stairs and kind of had him like, over her shoulder.", "raw_text": "And then at nap time, she was carrying Marky down the stairs and kind of had him like, over her shoulder.", "start_time": 548.87, "end_time": 554.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 105, "text": "And she slipped and fell, like, on her tailbone and back.", "raw_text": "And she slipped and fell, like, on her tailbone and back.", "start_time": 554.67, "end_time": 557.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 106, "text": "Then he hit his.", "raw_text": "Then he hit his.", "start_time": 557.95, "end_time": 558.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 107, "text": "He hit his face, like, on the step.", "raw_text": "He hit his face, like, on the step.", "start_time": 559.15, "end_time": 560.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 108, "text": "And so we were just worried he broke something.", "raw_text": "And so we were just worried he broke something.", "start_time": 562.03, "end_time": 565.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 109, "text": "And I mean, he.", "raw_text": "And I mean, he.", "start_time": 566.99, "end_time": 567.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 110, "text": "He rallied, like, got him to calm down, got him some, like, milk, applesauce, whatever.", "raw_text": "He rallied, like, got him to calm down, got him some, like, milk, applesauce, whatever.", "start_time": 567.87, "end_time": 572.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 111, "text": "But then we were outside, like, swinging for a while and he ends up, like, throwing up.", "raw_text": "But then we were outside, like, swinging for a while and he ends up, like, throwing up.", "start_time": 573.36, "end_time": 578.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 112, "text": "And I'm like, oh, like, I gotta.", "raw_text": "And I'm like, oh, like, I gotta.", "start_time": 579.52, "end_time": 582.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 113, "text": "I should try and get checked out because, you know, whatever.", "raw_text": "I should try and get checked out because, you know, whatever.", "start_time": 582.24, "end_time": 585.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 114, "text": "Head.", "raw_text": "Head.", "start_time": 585.84, "end_time": 586.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 115, "text": "You know, all the head stuff.", "raw_text": "You know, all the head stuff.", "start_time": 586.08, "end_time": 587.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 116, "text": "But.", "raw_text": "But.", "start_time": 587.44, "end_time": 587.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 117, "text": "So I was at urgent care last night.", "raw_text": "So I was at urgent care last night.", "start_time": 588.56, "end_time": 590.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 118, "text": "But he's.", "raw_text": "But he's.", "start_time": 590.12, "end_time": 590.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 119, "text": "He's all good.", "raw_text": "He's all good.", "start_time": 590.48, "end_time": 591.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 120, "text": "He's.", "raw_text": "He's.", "start_time": 591.28, "end_time": 591.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 121, "text": "Well, that's good.", "raw_text": "Well, that's good.", "start_time": 591.8, "end_time": 592.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "He's happy.", "raw_text": "He's happy.", "start_time": 592.36, "end_time": 592.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 123, "text": "As a client, I think he has more energy than normal because he was sitting around a lot yesterday, so he's, he's fine.", "raw_text": "As a client, I think he has more energy than normal because he was sitting around a lot yesterday, so he's, he's fine.", "start_time": 592.8, "end_time": 600.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 124, "text": "But yeah, it looks like he's got some active scribbles going on behind you there.", "raw_text": "But yeah, it looks like he's got some active scribbles going on behind you there.", "start_time": 601.26, "end_time": 604.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 125, "text": "Oh, yeah, look at it.", "raw_text": "Oh, yeah, look at it.", "start_time": 604.78, "end_time": 605.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 126, "text": "Yeah, this is his, his drawing place.", "raw_text": "Yeah, this is his, his drawing place.", "start_time": 605.78, "end_time": 608.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 127, "text": "I'm glad to hear he's doing better,.", "raw_text": "I'm glad to hear he's doing better,.", "start_time": 612.46, "end_time": 613.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 128, "text": "But, yeah, he's doing good today.", "raw_text": "But, yeah, he's doing good today.", "start_time": 616.38, "end_time": 617.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 129, "text": "I think we just, I'm just worried about Nat.", "raw_text": "I think we just, I'm just worried about Nat.", "start_time": 617.74, "end_time": 619.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 130, "text": "Did something with her tailbone, but.", "raw_text": "Did something with her tailbone, but.", "start_time": 619.66, "end_time": 621.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 131, "text": "Well, those get sore for a long time too.", "raw_text": "Well, those get sore for a long time too.", "start_time": 621.38, "end_time": 625.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 132, "text": "Tailbone bridges.", "raw_text": "Tailbone bridges.", "start_time": 625.58, "end_time": 626.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 133, "text": "Well, I don't think even if you did, like, if you did more to it than a bruise, like, I don't think they can do anything.", "raw_text": "Well, I don't think even if you did, like, if you did more to it than a bruise, like, I don't think they can do anything.", "start_time": 627.64, "end_time": 633.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 134, "text": "I think that it's just a longer timeline.", "raw_text": "I think that it's just a longer timeline.", "start_time": 633.56, "end_time": 635.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 135, "text": "Like you just get to sit on a donut.", "raw_text": "Like you just get to sit on a donut.", "start_time": 635.96, "end_time": 638.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 136, "text": "Yeah, it's like tough luck, right?", "raw_text": "Yeah, it's like tough luck, right?", "start_time": 638.36, "end_time": 640.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 137, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 640.52, "end_time": 641, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 138, "text": "Getting an ice bath.", "raw_text": "Getting an ice bath.", "start_time": 641.32, "end_time": 642.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 139, "text": "So, yeah, we're doing all right.", "raw_text": "So, yeah, we're doing all right.", "start_time": 642.36, "end_time": 645.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 140, "text": "Well, that's good to hear.", "raw_text": "Well, that's good to hear.", "start_time": 647.24, "end_time": 648.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 141, "text": "Well, this.", "raw_text": "Well, this.", "start_time": 648.76, "end_time": 649.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 142, "text": "Doing all right, Park?", "raw_text": "Doing all right, Park?", "start_time": 649.56, "end_time": 650.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 143, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 653.73, "end_time": 654.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 144, "text": "Pretty soon, though, you'll get your, your AI agent buddy.", "raw_text": "Pretty soon, though, you'll get your, your AI agent buddy.", "start_time": 654.13, "end_time": 656.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 657.49, "end_time": 657.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 146, "text": "What the heck is back.", "raw_text": "What the heck is back.", "start_time": 657.85, "end_time": 659.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 147, "text": "Yeah, it's been, it's been a wild Internet cycle with the multiple NPM package issues just from Light LLM and Dell last week, and now Axios, and then the, the whole Claude map coming out with the source code just.", "raw_text": "Yeah, it's been, it's been a wild Internet cycle with the multiple NPM package issues just from Light LLM and Dell last week, and now Axios, and then the, the whole Claude map coming out with the source code just.", "start_time": 660.61, "end_time": 675.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 148, "text": "I didn't even see that last till Justin told me.", "raw_text": "I didn't even see that last till Justin told me.", "start_time": 675.17, "end_time": 677.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 149, "text": "But then, yeah, they got the like, eight features.", "raw_text": "But then, yeah, they got the like, eight features.", "start_time": 677.41, "end_time": 679.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "They're about to ship.", "raw_text": "They're about to ship.", "start_time": 679.85, "end_time": 680.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 151, "text": "They're shipping like crazy, but apparently the Buddies are going to be like, SC the different rarity tiers like we're about to get a battle pass from.", "raw_text": "They're shipping like crazy, but apparently the Buddies are going to be like, SC the different rarity tiers like we're about to get a battle pass from.", "start_time": 680.49, "end_time": 687.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 152, "text": "Well, I, I, these agent harnesses are getting really, really getting pushed.", "raw_text": "Well, I, I, these agent harnesses are getting really, really getting pushed.", "start_time": 689.39, "end_time": 693.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 153, "text": "Have you seen, like, all this stuff with the Hermes agent?", "raw_text": "Have you seen, like, all this stuff with the Hermes agent?", "start_time": 693.75, "end_time": 695.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 154, "text": "A little bit?", "raw_text": "A little bit?", "start_time": 697.39, "end_time": 698.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 155, "text": "Not recently.", "raw_text": "Not recently.", "start_time": 698.43, "end_time": 699.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 156, "text": "Yeah, it's just that Brew code one.", "raw_text": "Yeah, it's just that Brew code one.", "start_time": 700.269, "end_time": 704.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 157, "text": "That one looks pretty sweet.", "raw_text": "That one looks pretty sweet.", "start_time": 704.79, "end_time": 706.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 158, "text": "Codes back.", "raw_text": "Codes back.", "start_time": 707.23, "end_time": 708.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 159, "text": "Are, are you talking the, Sorry, I'm kind of talking like Open Claw type agent?", "raw_text": "Are, are you talking the, Sorry, I'm kind of talking like Open Claw type agent?", "start_time": 708.27, "end_time": 713.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 160, "text": "Are you talking that one you sent over?", "raw_text": "Are you talking that one you sent over?", "start_time": 713.62, "end_time": 714.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 161, "text": "J Dub?", "raw_text": "J Dub?", "start_time": 714.78, "end_time": 715.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 162, "text": "Yeah, the Kanban board.", "raw_text": "Yeah, the Kanban board.", "start_time": 715.98, "end_time": 717.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 163, "text": "That does look pretty sweet.", "raw_text": "That does look pretty sweet.", "start_time": 719.9, "end_time": 721.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 164, "text": "Or like an orchestrator thing.", "raw_text": "Or like an orchestrator thing.", "start_time": 721.66, "end_time": 723.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 165, "text": "I was pulling from that last night when I was doing my apps thing.", "raw_text": "I was pulling from that last night when I was doing my apps thing.", "start_time": 723.42, "end_time": 726.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 166, "text": "I was looking at the Kanban board stuff.", "raw_text": "I was looking at the Kanban board stuff.", "start_time": 726.02, "end_time": 727.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 167, "text": "Kanban.", "raw_text": "Kanban.", "start_time": 728.22, "end_time": 728.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 168, "text": "I don't know how to say that.", "raw_text": "I don't know how to say that.", "start_time": 728.9, "end_time": 729.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 169, "text": "Everyone's, everyone's battling for that because even, even cursor came out.", "raw_text": "Everyone's, everyone's battling for that because even, even cursor came out.", "start_time": 731.1, "end_time": 734.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 170, "text": "Have you seen their, like, what they call it, like, cursor glass or whatever?", "raw_text": "Have you seen their, like, what they call it, like, cursor glass or whatever?", "start_time": 734.66, "end_time": 737.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 171, "text": "Yeah, it pretty much looks like the Codex app for orchestrating agents that way.", "raw_text": "Yeah, it pretty much looks like the Codex app for orchestrating agents that way.", "start_time": 738.79, "end_time": 745.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 172, "text": "So it's getting wild out there.", "raw_text": "So it's getting wild out there.", "start_time": 745.59, "end_time": 748.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 173, "text": "And then Claude codes kind of going after the Open Claw type deal here.", "raw_text": "And then Claude codes kind of going after the Open Claw type deal here.", "start_time": 748.03, "end_time": 753.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 174, "text": "So we'll see.", "raw_text": "So we'll see.", "start_time": 756.95, "end_time": 759.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 175, "text": "As far as the foundation front goes, let me get my notes.", "raw_text": "As far as the foundation front goes, let me get my notes.", "start_time": 760.71, "end_time": 765.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 176, "text": "Up here.", "raw_text": "Up here.", "start_time": 765.84, "end_time": 766.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 177, "text": "I was just doing a bunch of cleanup work at the end of the week last week for stuff I know we're going to need on the safeguard side.", "raw_text": "I was just doing a bunch of cleanup work at the end of the week last week for stuff I know we're going to need on the safeguard side.", "start_time": 767.76, "end_time": 775.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 178, "text": "So I, I added some health endpoint stuff.", "raw_text": "So I, I added some health endpoint stuff.", "start_time": 778.4, "end_time": 781.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 179, "text": "I did some admin cleanup for like user creation and managing those because we were, we were all out of whack.", "raw_text": "I did some admin cleanup for like user creation and managing those because we were, we were all out of whack.", "start_time": 781.12, "end_time": 788.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 180, "text": "We had like a role name and then we had a role v2 column as well.", "raw_text": "We had like a role name and then we had a role v2 column as well.", "start_time": 788.08, "end_time": 792.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 181, "text": "And like, so I just a bunch of a cleanup there.", "raw_text": "And like, so I just a bunch of a cleanup there.", "start_time": 792.89, "end_time": 796.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 182, "text": "And then we also didn't have like an enabled flag on workflows, so like stuff you'd be working on in draft would just automatically be available.", "raw_text": "And then we also didn't have like an enabled flag on workflows, so like stuff you'd be working on in draft would just automatically be available.", "start_time": 798.41, "end_time": 806.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 183, "text": "So I know we're going to get for Safeguard, so I got that in there.", "raw_text": "So I know we're going to get for Safeguard, so I got that in there.", "start_time": 806.57, "end_time": 810.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 184, "text": "Yeah, I hacked around that.", "raw_text": "Yeah, I hacked around that.", "start_time": 812.09, "end_time": 814.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 185, "text": "I just had like a null next run on the cron.", "raw_text": "I just had like a null next run on the cron.", "start_time": 815.79, "end_time": 819.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 186, "text": "Oh, nice to make it not run ever.", "raw_text": "Oh, nice to make it not run ever.", "start_time": 820.99, "end_time": 823.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 187, "text": "But yeah, I'll pull that in.", "raw_text": "But yeah, I'll pull that in.", "start_time": 823.83, "end_time": 827.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 188, "text": "I'll need that because I, I wrote the arrangement letter one and that thing just.", "raw_text": "I'll need that because I, I wrote the arrangement letter one and that thing just.", "start_time": 827.15, "end_time": 831.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 189, "text": "I don't know what's wrong with it.", "raw_text": "I don't know what's wrong with it.", "start_time": 831.63, "end_time": 832.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 190, "text": "I can't figure out why it's killing so many tokens, but it's like 15 to run.", "raw_text": "I can't figure out why it's killing so many tokens, but it's like 15 to run.", "start_time": 834.11, "end_time": 838.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 191, "text": "Oh gee.", "raw_text": "Oh gee.", "start_time": 839.95, "end_time": 840.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 192, "text": "Yeah, I was like smoking tokens.", "raw_text": "Yeah, I was like smoking tokens.", "start_time": 842.02, "end_time": 844.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 193, "text": "Yeah, we'll have to figure that out.", "raw_text": "Yeah, we'll have to figure that out.", "start_time": 846.18, "end_time": 847.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 194, "text": "But yeah, that should be out there now.", "raw_text": "But yeah, that should be out there now.", "start_time": 848.1, "end_time": 850.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 195, "text": "Then I also added to the user navigation, there's like a version number on the published app, so that's driven by the package JSON.", "raw_text": "Then I also added to the user navigation, there's like a version number on the published app, so that's driven by the package JSON.", "start_time": 851.38, "end_time": 859.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 196, "text": "And whatever the last commit is, it'll be like the first seven characters of that commit, Shaw.", "raw_text": "And whatever the last commit is, it'll be like the first seven characters of that commit, Shaw.", "start_time": 860.5, "end_time": 866.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 197, "text": "So then we can at least know what the hell's out there.", "raw_text": "So then we can at least know what the hell's out there.", "start_time": 868.04, "end_time": 870.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 198, "text": "Even if we don't bump the version numbers a lot, you should be able to see what commit on main is running there, so.", "raw_text": "Even if we don't bump the version numbers a lot, you should be able to see what commit on main is running there, so.", "start_time": 871.32, "end_time": 876.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 199, "text": "That'll be good.", "raw_text": "That'll be good.", "start_time": 878.76, "end_time": 879.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 200, "text": "So I'm probably making one more push on the admin console role cleanup to get that squared away.", "raw_text": "So I'm probably making one more push on the admin console role cleanup to get that squared away.", "start_time": 880.36, "end_time": 888.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 201, "text": "Then I gotta get all this stuff merged into Safeguard.", "raw_text": "Then I gotta get all this stuff merged into Safeguard.", "start_time": 888.92, "end_time": 891.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 202, "text": "And then I'm probably going to look at this new workflow trigger type that's going to use like a, a user session, like a JWT as opposed to like an API key, because on Safeguard we're going to need that.", "raw_text": "And then I'm probably going to look at this new workflow trigger type that's going to use like a, a user session, like a JWT as opposed to like an API key, because on Safeguard we're going to need that.", "start_time": 891.88, "end_time": 905.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 203, "text": "And then I got a whole list of, of other cleanup stuff.", "raw_text": "And then I got a whole list of, of other cleanup stuff.", "start_time": 908.37, "end_time": 911.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 204, "text": "But those are probably my two immediate.", "raw_text": "But those are probably my two immediate.", "start_time": 911.61, "end_time": 914.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 205, "text": "Yeah, for me, I think the, like, I got some of those initial workflows built out.", "raw_text": "Yeah, for me, I think the, like, I got some of those initial workflows built out.", "start_time": 915.41, "end_time": 923.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 206, "text": "I'm having a lot of trouble on the agent node debugging, like what it's doing.", "raw_text": "I'm having a lot of trouble on the agent node debugging, like what it's doing.", "start_time": 923.92, "end_time": 931.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 207, "text": "I couldn't see it in Brain trust anywhere.", "raw_text": "I couldn't see it in Brain trust anywhere.", "start_time": 933.52, "end_time": 935.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 208, "text": "I don't have any thoughts on that.", "raw_text": "I don't have any thoughts on that.", "start_time": 938.56, "end_time": 939.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 209, "text": "Murph, off the top of your Head.", "raw_text": "Murph, off the top of your Head.", "start_time": 939.92, "end_time": 941.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 210, "text": "Yeah, I made a. I made a small push last week to get some like minimal Brain Trust stuff in there, but it, it'll.", "raw_text": "Yeah, I made a. I made a small push last week to get some like minimal Brain Trust stuff in there, but it, it'll.", "start_time": 943.2, "end_time": 951.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 211, "text": "It'll pretty much just like log the steps that are done and the timing for the nodes.", "raw_text": "It'll pretty much just like log the steps that are done and the timing for the nodes.", "start_time": 951.92, "end_time": 956.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 212, "text": "You get the most granularity on any of the AI nodes because that's, that's kind of how we've primarily been using it through chat.", "raw_text": "You get the most granularity on any of the AI nodes because that's, that's kind of how we've primarily been using it through chat.", "start_time": 957.44, "end_time": 967.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 213, "text": "But I think, I agree.", "raw_text": "But I think, I agree.", "start_time": 968.64, "end_time": 969.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 214, "text": "I think the visibility could be better there and I think, I think just like.", "raw_text": "I think the visibility could be better there and I think, I think just like.", "start_time": 969.68, "end_time": 975.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 215, "text": "Oh, sorry, go ahead.", "raw_text": "Oh, sorry, go ahead.", "start_time": 976.26, "end_time": 977.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 216, "text": "I was gonna say maybe I'm using Brain Trust wrong, but like.", "raw_text": "I was gonna say maybe I'm using Brain Trust wrong, but like.", "start_time": 977.38, "end_time": 980.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 217, "text": "Or just navigating it.", "raw_text": "Or just navigating it.", "start_time": 981.14, "end_time": 982.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 218, "text": "Well, I can see like the nodes being called, but like what's happening inside the agent node, I have no clue.", "raw_text": "Well, I can see like the nodes being called, but like what's happening inside the agent node, I have no clue.", "start_time": 982.78, "end_time": 989.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 219, "text": "Oh, really?", "raw_text": "Oh, really?", "start_time": 990.9, "end_time": 991.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 220, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 992.9, "end_time": 993.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 221, "text": "Okay.", "raw_text": "Okay.", "start_time": 995.78, "end_time": 996.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 222, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 996.3, "end_time": 996.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 223, "text": "So maybe I just need some training on Brain Trust, but I can see a call like.", "raw_text": "So maybe I just need some training on Brain Trust, but I can see a call like.", "start_time": 996.62, "end_time": 1001.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 224, "text": "Like it would get the.", "raw_text": "Like it would get the.", "start_time": 1002.64, "end_time": 1003.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 225, "text": "I could see it get like the meetings.", "raw_text": "I could see it get like the meetings.", "start_time": 1004.08, "end_time": 1005.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 226, "text": "Filter the meetings down and then it gets passed into the agent node.", "raw_text": "Filter the meetings down and then it gets passed into the agent node.", "start_time": 1007.12, "end_time": 1011.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 227, "text": "Yep.", "raw_text": "Yep.", "start_time": 1012.88, "end_time": 1013.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 228, "text": "And then like.", "raw_text": "And then like.", "start_time": 1014, "end_time": 1014.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 229, "text": "I don't know, it was.", "raw_text": "I don't know, it was.", "start_time": 1015.68, "end_time": 1016.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 230, "text": "Some of it was like I was hitting step.", "raw_text": "Some of it was like I was hitting step.", "start_time": 1016.68, "end_time": 1018.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 231, "text": "Like there's number of steps they can run that I made more configurable.", "raw_text": "Like there's number of steps they can run that I made more configurable.", "start_time": 1018.32, "end_time": 1022.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 232, "text": "It was just bombing and then I couldn't see like any insight into like.", "raw_text": "It was just bombing and then I couldn't see like any insight into like.", "start_time": 1022.96, "end_time": 1026.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 233, "text": "It'd be cool if I could actually see the messages inside the agent node or the.", "raw_text": "It'd be cool if I could actually see the messages inside the agent node or the.", "start_time": 1028.33, "end_time": 1033.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 234, "text": "Well, you streamed out.", "raw_text": "Well, you streamed out.", "start_time": 1034.09, "end_time": 1035.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 235, "text": "Yeah, we may have to look at that then, because you should be able to see it at a minimum, like the tool calls and the rounds for the agent.", "raw_text": "Yeah, we may have to look at that then, because you should be able to see it at a minimum, like the tool calls and the rounds for the agent.", "start_time": 1035.29, "end_time": 1043.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 236, "text": "So you should be able to see the messages.", "raw_text": "So you should be able to see the messages.", "start_time": 1043.01, "end_time": 1044.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 237, "text": "Like the stuff it's sending, the tools it's calling out to what it's sending to those tools, that kind of stuff.", "raw_text": "Like the stuff it's sending, the tools it's calling out to what it's sending to those tools, that kind of stuff.", "start_time": 1048.01, "end_time": 1054.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 238, "text": "We could wire up more granularity in like the node steps, but like really, really in those AI ones is where you have the most visibility and, and essentially all that does is like you import a wrap.", "raw_text": "We could wire up more granularity in like the node steps, but like really, really in those AI ones is where you have the most visibility and, and essentially all that does is like you import a wrap.", "start_time": 1056.58, "end_time": 1069.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 239, "text": "Instead of importing from directly from the AI SDK, you import a wrap version that has Brain Trust around it and then use that in the code and then all that stuff just gets automatically sent with that trace id.", "raw_text": "Instead of importing from directly from the AI SDK, you import a wrap version that has Brain Trust around it and then use that in the code and then all that stuff just gets automatically sent with that trace id.", "start_time": 1069.62, "end_time": 1081.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 240, "text": "So.", "raw_text": "So.", "start_time": 1083.84, "end_time": 1084.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 241, "text": "So if that's jacked up, we should.", "raw_text": "So if that's jacked up, we should.", "start_time": 1084.32, "end_time": 1086, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 242, "text": "We should certainly put that on our list.", "raw_text": "We should certainly put that on our list.", "start_time": 1086.08, "end_time": 1087.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 243, "text": "Oh yeah, it could be user error.", "raw_text": "Oh yeah, it could be user error.", "start_time": 1089.44, "end_time": 1093.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 244, "text": "Like I said, I haven't been in Brain Trust, but I tried.", "raw_text": "Like I said, I haven't been in Brain Trust, but I tried.", "start_time": 1093.72, "end_time": 1097.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 245, "text": "I mean, it's.", "raw_text": "I mean, it's.", "start_time": 1098, "end_time": 1099.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 246, "text": "It's pretty new.", "raw_text": "It's pretty new.", "start_time": 1099.28, "end_time": 1100.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 247, "text": "I just threw it back in there so I could.", "raw_text": "I just threw it back in there so I could.", "start_time": 1100.12, "end_time": 1101.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 248, "text": "It could just be broken, like.", "raw_text": "It could just be broken, like.", "start_time": 1101.84, "end_time": 1103.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 249, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 1105.44, "end_time": 1106.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "I struggle on with it, like for audibility, like what it was doing as well.", "raw_text": "I struggle on with it, like for audibility, like what it was doing as well.", "start_time": 1106.16, "end_time": 1110.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 251, "text": "But then I was just trying to get this Apps thing to work.", "raw_text": "But then I was just trying to get this Apps thing to work.", "start_time": 1110.04, "end_time": 1112.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 252, "text": "So I just used the gateway anyways.", "raw_text": "So I just used the gateway anyways.", "start_time": 1112.32, "end_time": 1113.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 253, "text": "I just needed like a simple test function so I, I look into it.", "raw_text": "I just needed like a simple test function so I, I look into it.", "start_time": 1113.64, "end_time": 1116.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 254, "text": "Yeah, Like, I put this event thing in there, which I think is useful because it's more like programmatic.", "raw_text": "Yeah, Like, I put this event thing in there, which I think is useful because it's more like programmatic.", "start_time": 1116.92, "end_time": 1122.839, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 255, "text": "Like there's a result that came out of the workflow that we actually want.", "raw_text": "Like there's a result that came out of the workflow that we actually want.", "start_time": 1122.839, "end_time": 1126.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 256, "text": "To record in a programmatic.", "raw_text": "To record in a programmatic.", "start_time": 1126.44, "end_time": 1128.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 257, "text": "Kind of purposeful way.", "raw_text": "Kind of purposeful way.", "start_time": 1130.12, "end_time": 1131.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 258, "text": "Yeah, I think that supplements.", "raw_text": "Yeah, I think that supplements.", "start_time": 1132.85, "end_time": 1135.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 259, "text": "It'd be cool.", "raw_text": "It'd be cool.", "start_time": 1136.29, "end_time": 1137.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 260, "text": "Like in that event log, you could also like click in and see like the run.", "raw_text": "Like in that event log, you could also like click in and see like the run.", "start_time": 1137.05, "end_time": 1142.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 261, "text": "The workflow run.", "raw_text": "The workflow run.", "start_time": 1143.57, "end_time": 1144.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 262, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1144.45, "end_time": 1144.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 263, "text": "Because it would be paired together.", "raw_text": "Because it would be paired together.", "start_time": 1145.33, "end_time": 1146.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 264, "text": "They are paired together in the database already.", "raw_text": "They are paired together in the database already.", "start_time": 1146.69, "end_time": 1148.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 265, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1149.73, "end_time": 1152.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 266, "text": "And we have all that like that info, like already available to like, look at that run.", "raw_text": "And we have all that like that info, like already available to like, look at that run.", "start_time": 1152.05, "end_time": 1157.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 267, "text": "I. I agree there.", "raw_text": "I. I agree there.", "start_time": 1157.65, "end_time": 1158.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 268, "text": "And I think that event table too lends itself well to like the human and the loop stuff that we talked about before to where like we can really leverage that to go off a few different branches and like restart workflows and things like that.", "raw_text": "And I think that event table too lends itself well to like the human and the loop stuff that we talked about before to where like we can really leverage that to go off a few different branches and like restart workflows and things like that.", "start_time": 1158.77, "end_time": 1171.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 269, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1171.99, "end_time": 1172.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 270, "text": "Murph, I want to show you what I started on with the, with the app, like that apps concept we talked about a while ago.", "raw_text": "Murph, I want to show you what I started on with the, with the app, like that apps concept we talked about a while ago.", "start_time": 1172.67, "end_time": 1177.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 271, "text": "But prior to that, for workflow, I do.", "raw_text": "But prior to that, for workflow, I do.", "start_time": 1177.43, "end_time": 1179.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 272, "text": "I feel like there is a few, like, I guess you could say UX improvements, but I really like how.", "raw_text": "I feel like there is a few, like, I guess you could say UX improvements, but I really like how.", "start_time": 1180.47, "end_time": 1185.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 273, "text": "Well, I did want to talk to you too about like, how we do cron.", "raw_text": "Well, I did want to talk to you too about like, how we do cron.", "start_time": 1186.27, "end_time": 1188.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 274, "text": "I know we have like, we have the ability to do cron jobs, but I really like how like Open Claw has cron jobs versus heartbeat, where like heartbeat is like every 5 minutes or 15 minutes it like checks for all jobs to run in the queue, where like, they just specifically use cron jobs, where it's like, hey, I want this thing to be at 9pm where it's like the timing for it.", "raw_text": "I know we have like, we have the ability to do cron jobs, but I really like how like Open Claw has cron jobs versus heartbeat, where like heartbeat is like every 5 minutes or 15 minutes it like checks for all jobs to run in the queue, where like, they just specifically use cron jobs, where it's like, hey, I want this thing to be at 9pm where it's like the timing for it.", "start_time": 1188.55, "end_time": 1206.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 275, "text": "Right.", "raw_text": "Right.", "start_time": 1206.67, "end_time": 1207.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 276, "text": "And that logic's not that complicated.", "raw_text": "And that logic's not that complicated.", "start_time": 1207.03, "end_time": 1209.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "We've kind of talked about it and I know we have like the queue where we like check on it.", "raw_text": "We've kind of talked about it and I know we have like the queue where we like check on it.", "start_time": 1209.07, "end_time": 1212.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 278, "text": "So I'm not like worried about that.", "raw_text": "So I'm not like worried about that.", "start_time": 1212.15, "end_time": 1213.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 279, "text": "But what I think would be really useful for like an end user is like either we put it in the events page or we make an app for it or we put it in the workflows UI directly of like, what are all my crons?", "raw_text": "But what I think would be really useful for like an end user is like either we put it in the events page or we make an app for it or we put it in the workflows UI directly of like, what are all my crons?", "start_time": 1214.06, "end_time": 1224.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 280, "text": "Where are all my active workflows?", "raw_text": "Where are all my active workflows?", "start_time": 1224.9, "end_time": 1226.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 281, "text": "When is everything going to get hit?", "raw_text": "When is everything going to get hit?", "start_time": 1227.02, "end_time": 1228.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 282, "text": "How do I turn it on?", "raw_text": "How do I turn it on?", "start_time": 1228.54, "end_time": 1229.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 283, "text": "How do I turn it off?", "raw_text": "How do I turn it off?", "start_time": 1229.46, "end_time": 1230.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 284, "text": "Like, I can make that page and I can show you like one way.", "raw_text": "Like, I can make that page and I can show you like one way.", "start_time": 1230.46, "end_time": 1233.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 285, "text": "I was thinking about making that page, but I know that was one.", "raw_text": "I was thinking about making that page, but I know that was one.", "start_time": 1233.18, "end_time": 1236.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 286, "text": "I definitely would talk to you a little bit.", "raw_text": "I definitely would talk to you a little bit.", "start_time": 1236.1, "end_time": 1237.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 287, "text": "I looked into it a little bit.", "raw_text": "I looked into it a little bit.", "start_time": 1237.58, "end_time": 1238.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 288, "text": "And I might, I might mock it out.", "raw_text": "And I might, I might mock it out.", "start_time": 1238.86, "end_time": 1240.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "It's not like top of my list, but that's something that like I think should need to be shipped.", "raw_text": "It's not like top of my list, but that's something that like I think should need to be shipped.", "start_time": 1240.38, "end_time": 1244.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "And I actually, I may actually build that this week because like my current goal right now is like I kind of put a fixed all my variable mess ups and like a demo exists.", "raw_text": "And I actually, I may actually build that this week because like my current goal right now is like I kind of put a fixed all my variable mess ups and like a demo exists.", "start_time": 1244.75, "end_time": 1255.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "But I was like, well, what am I going to put on demo?", "raw_text": "But I was like, well, what am I going to put on demo?", "start_time": 1255.43, "end_time": 1257.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 292, "text": "And so I started building out like the apps page.", "raw_text": "And so I started building out like the apps page.", "start_time": 1257.63, "end_time": 1259.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 293, "text": "I merged in Justin's event page and then I like on my clean instance I just have a basic workflow and here I'll just, I'll show you quick like what I'm working on.", "raw_text": "I merged in Justin's event page and then I like on my clean instance I just have a basic workflow and here I'll just, I'll show you quick like what I'm working on.", "start_time": 1259.99, "end_time": 1268.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 294, "text": "I think that'll help you like get the gist.", "raw_text": "I think that'll help you like get the gist.", "start_time": 1268.79, "end_time": 1270.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 295, "text": "So in my foundation.", "raw_text": "So in my foundation.", "start_time": 1273.19, "end_time": 1274.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 296, "text": "So I, this is my local one.", "raw_text": "So I, this is my local one.", "start_time": 1274.71, "end_time": 1276.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 297, "text": "So I just have like a super simple workflow here and it's literally just like manual trigger, generate report.", "raw_text": "So I just have like a super simple workflow here and it's literally just like manual trigger, generate report.", "start_time": 1276.43, "end_time": 1283.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 298, "text": "We'll see if this works.", "raw_text": "We'll see if this works.", "start_time": 1283.35, "end_time": 1284.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 299, "text": "But I created this apps page and this is supposed to look similar to like the AIP and foundation or not in Palantir where they just have a bunch of apps.", "raw_text": "But I created this apps page and this is supposed to look similar to like the AIP and foundation or not in Palantir where they just have a bunch of apps.", "start_time": 1284.47, "end_time": 1293.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 300, "text": "Essentially all this is, is a spot for us to land dashboards.", "raw_text": "Essentially all this is, is a spot for us to land dashboards.", "start_time": 1293.99, "end_time": 1297.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 301, "text": "And this is where I was going to start building out those use cases we talked with like Sam and Paul about.", "raw_text": "And this is where I was going to start building out those use cases we talked with like Sam and Paul about.", "start_time": 1298.15, "end_time": 1302.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 302, "text": "So this week I'm going to be talking with Sam and Christopher with some more granularity.", "raw_text": "So this week I'm going to be talking with Sam and Christopher with some more granularity.", "start_time": 1302.23, "end_time": 1307.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 303, "text": "I'll send you guys the transcripts and like just start building them out Dashboards.", "raw_text": "I'll send you guys the transcripts and like just start building them out Dashboards.", "start_time": 1307.39, "end_time": 1311.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 304, "text": "And I copied a lot of like what I did with Entwine, what we did with Entwine.", "raw_text": "And I copied a lot of like what I did with Entwine, what we did with Entwine.", "start_time": 1311.83, "end_time": 1317.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 305, "text": "And then Tommy had improved it.", "raw_text": "And then Tommy had improved it.", "start_time": 1317.19, "end_time": 1318.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 306, "text": "So you can go in here and right now some of this is real, some of this is fake, but you can like edit kind of WYSIWYG a minute.", "raw_text": "So you can go in here and right now some of this is real, some of this is fake, but you can like edit kind of WYSIWYG a minute.", "start_time": 1318.39, "end_time": 1324.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 307, "text": "So you can like, you can change the size of things.", "raw_text": "So you can like, you can change the size of things.", "start_time": 1324.8, "end_time": 1327.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 308, "text": "You can drop in different nodes.", "raw_text": "You can drop in different nodes.", "start_time": 1327.56, "end_time": 1329.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 309, "text": "So I wired up six nodes.", "raw_text": "So I wired up six nodes.", "start_time": 1329.24, "end_time": 1330.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 310, "text": "Like there's a chat node you can directly like talk to chat in here.", "raw_text": "Like there's a chat node you can directly like talk to chat in here.", "start_time": 1330.84, "end_time": 1334.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 311, "text": "You can like workflow monitor, display data via cube markdown.", "raw_text": "You can like workflow monitor, display data via cube markdown.", "start_time": 1335.4, "end_time": 1339.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "KPIs like this was a basic one and then this one right here, I made this like report monitor.", "raw_text": "KPIs like this was a basic one and then this one right here, I made this like report monitor.", "start_time": 1339.72, "end_time": 1346.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 313, "text": "So like every time you build it out like a safeguard page and we have that like UI component, we would like show off the safeguard workflows.", "raw_text": "So like every time you build it out like a safeguard page and we have that like UI component, we would like show off the safeguard workflows.", "start_time": 1346.52, "end_time": 1353.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "Well, we could just have an app here that they could publish to the Org and you could see like, okay, I can directly run my workflow on this app.", "raw_text": "Well, we could just have an app here that they could publish to the Org and you could see like, okay, I can directly run my workflow on this app.", "start_time": 1353.98, "end_time": 1361.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "I can, I can put notes here for like business users.", "raw_text": "I can, I can put notes here for like business users.", "start_time": 1361.9, "end_time": 1364.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 316, "text": "I can see the logs.", "raw_text": "I can see the logs.", "start_time": 1364.74, "end_time": 1365.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 317, "text": "I mean obviously this is all customizable.", "raw_text": "I mean obviously this is all customizable.", "start_time": 1365.94, "end_time": 1367.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 318, "text": "But then Like, I can go look at the past logs in here.", "raw_text": "But then Like, I can go look at the past logs in here.", "start_time": 1368.06, "end_time": 1371.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 319, "text": "So this is all just pointed directly at the stuff you already had built.", "raw_text": "So this is all just pointed directly at the stuff you already had built.", "start_time": 1371.02, "end_time": 1374.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 320, "text": "And I was kind of thinking like, hey, I mean, we can just basically use this as like the workflows to become the APIs, if we want to use it that way.", "raw_text": "And I was kind of thinking like, hey, I mean, we can just basically use this as like the workflows to become the APIs, if we want to use it that way.", "start_time": 1374.3, "end_time": 1381.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 321, "text": "Or we have like simple stuff and we can just connect it in.", "raw_text": "Or we have like simple stuff and we can just connect it in.", "start_time": 1381.9, "end_time": 1384.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 322, "text": "Or say we want to have like a data display node.", "raw_text": "Or say we want to have like a data display node.", "start_time": 1384.93, "end_time": 1388.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 323, "text": "You can come on here, select your cube, and then you can like hook up cube data to it.", "raw_text": "You can come on here, select your cube, and then you can like hook up cube data to it.", "start_time": 1388.85, "end_time": 1393.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "And I'm working on other integrations, but the cool part, I think about this, I'm going to just cancel that.", "raw_text": "And I'm working on other integrations, but the cool part, I think about this, I'm going to just cancel that.", "start_time": 1393.81, "end_time": 1400.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 325, "text": "About this, like latest report is like right here.", "raw_text": "About this, like latest report is like right here.", "start_time": 1400.77, "end_time": 1402.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 326, "text": "Here's the output of this text.", "raw_text": "Here's the output of this text.", "start_time": 1402.85, "end_time": 1404.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 327, "text": "I can just hit like open in chat and then it just dumps the context of the whole work flow and the output into a chat that I can just start prompting.", "raw_text": "I can just hit like open in chat and then it just dumps the context of the whole work flow and the output into a chat that I can just start prompting.", "start_time": 1404.77, "end_time": 1412.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 328, "text": "So my thought was like, for the arrangement letter writer, we can just have a little arrangement letter writer thing.", "raw_text": "So my thought was like, for the arrangement letter writer, we can just have a little arrangement letter writer thing.", "start_time": 1412.77, "end_time": 1418.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 329, "text": "Shows you all the arrangement letters that have been done.", "raw_text": "Shows you all the arrangement letters that have been done.", "start_time": 1418.21, "end_time": 1420.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 330, "text": "Oh, I want to work on this.", "raw_text": "Oh, I want to work on this.", "start_time": 1420.29, "end_time": 1421.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 331, "text": "Click on it, pulls in whatever you want in the chat and you're ready to start working on it.", "raw_text": "Click on it, pulls in whatever you want in the chat and you're ready to start working on it.", "start_time": 1421.37, "end_time": 1425.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "Yeah, that's cool.", "raw_text": "Yeah, that's cool.", "start_time": 1425.65, "end_time": 1427.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 333, "text": "So that's kind of like the idea with apps.", "raw_text": "So that's kind of like the idea with apps.", "start_time": 1428.69, "end_time": 1430.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "And I'll start building them out some dashboards and we can kind of mess with it.", "raw_text": "And I'll start building them out some dashboards and we can kind of mess with it.", "start_time": 1430.77, "end_time": 1433.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 335, "text": "Right now what I've implemented is like those six kind of widgets in a shared folder.", "raw_text": "Right now what I've implemented is like those six kind of widgets in a shared folder.", "start_time": 1434.45, "end_time": 1438.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "And I tried to reuse as much logic as I could from Workflow Builder, but I'll kind of just ship it.", "raw_text": "And I tried to reuse as much logic as I could from Workflow Builder, but I'll kind of just ship it.", "start_time": 1438.87, "end_time": 1443.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 337, "text": "And then right now it's wysiwyg, the end goal.", "raw_text": "And then right now it's wysiwyg, the end goal.", "start_time": 1443.99, "end_time": 1447.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 338, "text": "Next step I'm gonna do is add in a few more to like start using some of these worst use cases right away.", "raw_text": "Next step I'm gonna do is add in a few more to like start using some of these worst use cases right away.", "start_time": 1447.23, "end_time": 1452.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 339, "text": "Then the fourth one is like, see if I can actually get this to be like a code experience where maybe it pulls from some of these blocks or like some of the work Justin worked on a while ago with having like some compiled like JSX or just like HTML that I can just pull from.", "raw_text": "Then the fourth one is like, see if I can actually get this to be like a code experience where maybe it pulls from some of these blocks or like some of the work Justin worked on a while ago with having like some compiled like JSX or just like HTML that I can just pull from.", "start_time": 1452.549, "end_time": 1467.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "That's the end experience.", "raw_text": "That's the end experience.", "start_time": 1468.32, "end_time": 1469.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 341, "text": "But this can get value right away.", "raw_text": "But this can get value right away.", "start_time": 1469.84, "end_time": 1471.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 342, "text": "Yeah, I think this is an interesting discussion, I think particularly for the Safeguard Preserve AI arrangement we have coming up.", "raw_text": "Yeah, I think this is an interesting discussion, I think particularly for the Safeguard Preserve AI arrangement we have coming up.", "start_time": 1474.4, "end_time": 1484.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 343, "text": "And in the one we're working on now, we're kind of just like finishing the workflow and like getting them starting to use it, but they want to integrate it into a react client portal in the form of like, in the form of more of like an app.", "raw_text": "And in the one we're working on now, we're kind of just like finishing the workflow and like getting them starting to use it, but they want to integrate it into a react client portal in the form of like, in the form of more of like an app.", "start_time": 1484.96, "end_time": 1503.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 344, "text": "And so from like us, like we're kind of just going to be using the foundation APIs to facilitate that.", "raw_text": "And so from like us, like we're kind of just going to be using the foundation APIs to facilitate that.", "start_time": 1504.81, "end_time": 1510.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 345, "text": "One discussion that came up is like who owns the react components and the UI display for that?", "raw_text": "One discussion that came up is like who owns the react components and the UI display for that?", "start_time": 1510.97, "end_time": 1518.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 346, "text": "Like, like quick solution, right, Is for a workflow run, we have the given output, we have that versioned.", "raw_text": "Like, like quick solution, right, Is for a workflow run, we have the given output, we have that versioned.", "start_time": 1521.18, "end_time": 1529.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 347, "text": "So when they call that API and pull it in on their side, like, all right, we have version one of this workflow, we have our react components we want to use to display that data.", "raw_text": "So when they call that API and pull it in on their side, like, all right, we have version one of this workflow, we have our react components we want to use to display that data.", "start_time": 1529.34, "end_time": 1537.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 348, "text": "And then like we're pretty much just providing the props for the data.", "raw_text": "And then like we're pretty much just providing the props for the data.", "start_time": 1537.98, "end_time": 1540.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 349, "text": "But like a more sophisticated version of that could be, well, hey, we have this app from foundation either running in a sandbox or that we can iframe for that given workflow result that is just like all you gotta do is iframe that and off with foundation and then you have access to it.", "raw_text": "But like a more sophisticated version of that could be, well, hey, we have this app from foundation either running in a sandbox or that we can iframe for that given workflow result that is just like all you gotta do is iframe that and off with foundation and then you have access to it.", "start_time": 1541.9, "end_time": 1559.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 350, "text": "So like there's certainly a use case there.", "raw_text": "So like there's certainly a use case there.", "start_time": 1559.9, "end_time": 1563.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 351, "text": "And like another side of that too is like they want to be able to see all the workflow runs for a given workflow they have set up.", "raw_text": "And like another side of that too is like they want to be able to see all the workflow runs for a given workflow they have set up.", "start_time": 1563.58, "end_time": 1570.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 352, "text": "So like we're going to have to make a table so they can search those, yada yada.", "raw_text": "So like we're going to have to make a table so they can search those, yada yada.", "start_time": 1570.22, "end_time": 1573.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 353, "text": "It's a.", "raw_text": "It's a.", "start_time": 1573.42, "end_time": 1573.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 354, "text": "But it's the same thing, right?", "raw_text": "But it's the same thing, right?", "start_time": 1574.01, "end_time": 1575.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 355, "text": "Like we have data on our side that they need to render in a component.", "raw_text": "Like we have data on our side that they need to render in a component.", "start_time": 1575.29, "end_time": 1579.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 356, "text": "Like so I, I think, I think it's a, a sweet feature.", "raw_text": "Like so I, I think, I think it's a, a sweet feature.", "start_time": 1579.17, "end_time": 1585.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 357, "text": "And then you look at it for us internally, like we want to spin up dashboards and stuff for our workflows and our data that's actually like useful.", "raw_text": "And then you look at it for us internally, like we want to spin up dashboards and stuff for our workflows and our data that's actually like useful.", "start_time": 1585.57, "end_time": 1591.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 358, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 1593.21, "end_time": 1593.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 359, "text": "So there's, there's a few like angles to it.", "raw_text": "So there's, there's a few like angles to it.", "start_time": 1595.61, "end_time": 1598.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 360, "text": "Yeah, I, I do quick, I do have it right now.", "raw_text": "Yeah, I, I do quick, I do have it right now.", "start_time": 1598.57, "end_time": 1601.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 361, "text": "So it's like I have a data driven so you can like seed those so we can control like and move them around.", "raw_text": "So it's like I have a data driven so you can like seed those so we can control like and move them around.", "start_time": 1601.55, "end_time": 1605.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "And then I do think like what we kind of talked about before of like, hey, we're have these first party foundation apps is like it's tools in our tool belt.", "raw_text": "And then I do think like what we kind of talked about before of like, hey, we're have these first party foundation apps is like it's tools in our tool belt.", "start_time": 1606.35, "end_time": 1613.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "And what makes sense right now is that they want to own the ip, they're like making it.", "raw_text": "And what makes sense right now is that they want to own the ip, they're like making it.", "start_time": 1613.67, "end_time": 1616.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "But then we just keep making generic versions of these like future customers.", "raw_text": "But then we just keep making generic versions of these like future customers.", "start_time": 1616.87, "end_time": 1620.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 365, "text": "Like it's just kind of the stickiness of the platform as we like move more people towards it.", "raw_text": "Like it's just kind of the stickiness of the platform as we like move more people towards it.", "start_time": 1620.23, "end_time": 1624.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 366, "text": "But that was like my thought too of like just from eating our own dog food, we came up with those 20 some use cases.", "raw_text": "But that was like my thought too of like just from eating our own dog food, we came up with those 20 some use cases.", "start_time": 1624.27, "end_time": 1630.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "I have at least four apps that combine all of them that I know I'm gonna build.", "raw_text": "I have at least four apps that combine all of them that I know I'm gonna build.", "start_time": 1630.34, "end_time": 1634.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 368, "text": "And then outside of that it's like, okay, I was fighting back and forth with like how much of this do I just code in here.", "raw_text": "And then outside of that it's like, okay, I was fighting back and forth with like how much of this do I just code in here.", "start_time": 1635.06, "end_time": 1640.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 369, "text": "Now we have like apps inside of an app where we pull it out.", "raw_text": "Now we have like apps inside of an app where we pull it out.", "start_time": 1640.38, "end_time": 1642.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 370, "text": "But I'm trying to like reutilize as much as we can and build it in like nodes and pipelines.", "raw_text": "But I'm trying to like reutilize as much as we can and build it in like nodes and pipelines.", "start_time": 1642.74, "end_time": 1646.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 371, "text": "But we can also refactor it later.", "raw_text": "But we can also refactor it later.", "start_time": 1646.7, "end_time": 1648.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "Yeah, I'm just gonna ship it.", "raw_text": "Yeah, I'm just gonna ship it.", "start_time": 1649.14, "end_time": 1650.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 373, "text": "Yeah, no, we can, we can refactor it later.", "raw_text": "Yeah, no, we can, we can refactor it later.", "start_time": 1650.9, "end_time": 1653.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 374, "text": "I, I think what Quad said.", "raw_text": "I, I think what Quad said.", "start_time": 1653.38, "end_time": 1655.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 375, "text": "Do another.", "raw_text": "Do another.", "start_time": 1655.04, "end_time": 1656.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 376, "text": "Another insight too is in for the Hinkley use case they wanted.", "raw_text": "Another insight too is in for the Hinkley use case they wanted.", "start_time": 1656.44, "end_time": 1661.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 377, "text": "Well, right now they have the foundation poc.", "raw_text": "Well, right now they have the foundation poc.", "start_time": 1662.68, "end_time": 1665.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 378, "text": "We built them iframed into their customer portal.", "raw_text": "We built them iframed into their customer portal.", "start_time": 1665.44, "end_time": 1668.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 379, "text": "Like they have the whole chat in there.", "raw_text": "Like they have the whole chat in there.", "start_time": 1668.52, "end_time": 1670.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 380, "text": "So like again, that's another use case when you look at like the chat GBT SDK and the chat apps they're doing, there's like a two way street.", "raw_text": "So like again, that's another use case when you look at like the chat GBT SDK and the chat apps they're doing, there's like a two way street.", "start_time": 1670.52, "end_time": 1680.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 381, "text": "There is like iframing into your app or vice versa.", "raw_text": "There is like iframing into your app or vice versa.", "start_time": 1680.12, "end_time": 1683.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 382, "text": "Yeah, I, the.", "raw_text": "Yeah, I, the.", "start_time": 1684.61, "end_time": 1686.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 383, "text": "I would add to this discussion.", "raw_text": "I would add to this discussion.", "start_time": 1686.77, "end_time": 1688.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 384, "text": "There's, I wasn't aware of it.", "raw_text": "There's, I wasn't aware of it.", "start_time": 1688.85, "end_time": 1690.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 385, "text": "There's something called MCP apps.", "raw_text": "There's something called MCP apps.", "start_time": 1690.89, "end_time": 1692.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 386, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1693.33, "end_time": 1693.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 387, "text": "Yep.", "raw_text": "Yep.", "start_time": 1693.89, "end_time": 1694.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 388, "text": "Like they actually have a UI GUI component in a standardized way when you're interacting with mcp.", "raw_text": "Like they actually have a UI GUI component in a standardized way when you're interacting with mcp.", "start_time": 1694.69, "end_time": 1701.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 389, "text": "I mean that's another angle to this.", "raw_text": "I mean that's another angle to this.", "start_time": 1702.21, "end_time": 1705.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 390, "text": "Did you hear that?", "raw_text": "Did you hear that?", "start_time": 1705.33, "end_time": 1706.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 391, "text": "No, sorry, I didn't realize this until like recently.", "raw_text": "No, sorry, I didn't realize this until like recently.", "start_time": 1706.05, "end_time": 1708.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 392, "text": "There's like something called MCP Apps MCP app, which like basically is the same MCP user experience, but you can basically wire in a GUI that essentially shows up as an iframe inside like Claude.", "raw_text": "There's like something called MCP Apps MCP app, which like basically is the same MCP user experience, but you can basically wire in a GUI that essentially shows up as an iframe inside like Claude.", "start_time": 1709.01, "end_time": 1722.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 393, "text": "Oh wait, because they were saying you can use this MCP app to run Linux in Quad.", "raw_text": "Oh wait, because they were saying you can use this MCP app to run Linux in Quad.", "start_time": 1723.48, "end_time": 1729, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 394, "text": "They're like it's not Claude on Linux and claw.", "raw_text": "They're like it's not Claude on Linux and claw.", "start_time": 1729, "end_time": 1731.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 395, "text": "Which is hilarious.", "raw_text": "Which is hilarious.", "start_time": 1731.56, "end_time": 1732.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 396, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1733.32, "end_time": 1733.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 397, "text": "So that's another angle to this, I think.", "raw_text": "So that's another angle to this, I think.", "start_time": 1733.72, "end_time": 1736.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 398, "text": "Or go ahead.", "raw_text": "Or go ahead.", "start_time": 1736.44, "end_time": 1737, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 399, "text": "Well, no, I, I think that's a great point.", "raw_text": "Well, no, I, I think that's a great point.", "start_time": 1738.16, "end_time": 1740.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 400, "text": "I think that's obviously a new respect, but I think if we can build on top of that, like primitive, then we get all the benefits of like not only are your apps in foundation, like they're flipping portable wherever the heck you want to take them.", "raw_text": "I think that's obviously a new respect, but I think if we can build on top of that, like primitive, then we get all the benefits of like not only are your apps in foundation, like they're flipping portable wherever the heck you want to take them.", "start_time": 1740.24, "end_time": 1753.519, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 401, "text": "Like that's, that's sweet.", "raw_text": "Like that's, that's sweet.", "start_time": 1753.52, "end_time": 1755.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 402, "text": "And well that's the best thing of like, okay, we're doing this class B, so we're doing this normal software we build in our toolbox and then all of a sudden you got to pay this license because we just import it in our suite thing that we have set up that we can charge them more money for.", "raw_text": "And well that's the best thing of like, okay, we're doing this class B, so we're doing this normal software we build in our toolbox and then all of a sudden you got to pay this license because we just import it in our suite thing that we have set up that we can charge them more money for.", "start_time": 1755.76, "end_time": 1767.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 403, "text": "Yeah, for sure.", "raw_text": "Yeah, for sure.", "start_time": 1767.47, "end_time": 1768.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 404, "text": "So I like, I think we can like, like you guys said, like let's ship and get to some of this stuff moving and then work towards whatever we think the ideal abstraction reusability is there.", "raw_text": "So I like, I think we can like, like you guys said, like let's ship and get to some of this stuff moving and then work towards whatever we think the ideal abstraction reusability is there.", "start_time": 1769.63, "end_time": 1782.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 405, "text": "I Do think we're going to need like quickly we're going to figure out like we already know like off needs to live either in a unified place or somewhere else.", "raw_text": "I Do think we're going to need like quickly we're going to figure out like we already know like off needs to live either in a unified place or somewhere else.", "start_time": 1782.31, "end_time": 1791.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 406, "text": "Because that is important for data platform.", "raw_text": "Because that is important for data platform.", "start_time": 1791.59, "end_time": 1796.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 407, "text": "But also app side and you can have one or the other.", "raw_text": "But also app side and you can have one or the other.", "start_time": 1796.63, "end_time": 1799.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 408, "text": "I think MCB is, MCP is kind of becoming that way.", "raw_text": "I think MCB is, MCP is kind of becoming that way.", "start_time": 1799.55, "end_time": 1803.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 409, "text": "Like we need MCP for like, if we're doing app stuff that's driven by the application side, you don't necessarily need the data platform for that.", "raw_text": "Like we need MCP for like, if we're doing app stuff that's driven by the application side, you don't necessarily need the data platform for that.", "start_time": 1803.91, "end_time": 1813.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 410, "text": "But then we also have it from the data platform semantic layer side.", "raw_text": "But then we also have it from the data platform semantic layer side.", "start_time": 1813.59, "end_time": 1817.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 411, "text": "So like, I think that's another abstraction we're gonna need to be cognizant of.", "raw_text": "So like, I think that's another abstraction we're gonna need to be cognizant of.", "start_time": 1817.55, "end_time": 1822.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 412, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1824.08, "end_time": 1827.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 413, "text": "I think one thing that could be useful too is like I was talking like setting up this like staging or like however we want to set up with like multiple environments with like the data platform.", "raw_text": "I think one thing that could be useful too is like I was talking like setting up this like staging or like however we want to set up with like multiple environments with like the data platform.", "start_time": 1827.8, "end_time": 1836.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 414, "text": "I mean I was like starting to do that, but it might make sense.", "raw_text": "I mean I was like starting to do that, but it might make sense.", "start_time": 1836.84, "end_time": 1839.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 415, "text": "Like you or Boone either do that or help with it or we could GSD it or something.", "raw_text": "Like you or Boone either do that or help with it or we could GSD it or something.", "start_time": 1839.88, "end_time": 1844.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 416, "text": "Because I, I can run.", "raw_text": "Because I, I can run.", "start_time": 1844.4, "end_time": 1845.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 417, "text": "I feel like I run a lot quicker on this app stuff than I'm gonna be able to move on like consolidating data platform.", "raw_text": "I feel like I run a lot quicker on this app stuff than I'm gonna be able to move on like consolidating data platform.", "start_time": 1845.36, "end_time": 1849.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 418, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 1850.55, "end_time": 1851.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 419, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1853.83, "end_time": 1854.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 420, "text": "I ultimately think where apps will end is like the.", "raw_text": "I ultimately think where apps will end is like the.", "start_time": 1854.19, "end_time": 1860.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 421, "text": "A full JSX TSX app that runs in that sandbox.", "raw_text": "A full JSX TSX app that runs in that sandbox.", "start_time": 1861.27, "end_time": 1867.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 422, "text": "Especially if that security stuff you sent me, Murph, like, I'm feeling way better about that as like a bot in production path.", "raw_text": "Especially if that security stuff you sent me, Murph, like, I'm feeling way better about that as like a bot in production path.", "start_time": 1867.03, "end_time": 1874.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 423, "text": "Yep.", "raw_text": "Yep.", "start_time": 1875.28, "end_time": 1875.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 424, "text": "What stuff or which stuff did you send?", "raw_text": "What stuff or which stuff did you send?", "start_time": 1876.08, "end_time": 1878, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 425, "text": "Merv sent me something about how like that Versal sandbox you can do.", "raw_text": "Merv sent me something about how like that Versal sandbox you can do.", "start_time": 1880.4, "end_time": 1884.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 426, "text": "I was telling you about that egress thing.", "raw_text": "I was telling you about that egress thing.", "start_time": 1884.04, "end_time": 1885.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 427, "text": "Oh, is it the stuff we were talking about?", "raw_text": "Oh, is it the stuff we were talking about?", "start_time": 1885.48, "end_time": 1886.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 428, "text": "I just wanted.", "raw_text": "I just wanted.", "start_time": 1886.72, "end_time": 1887.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 429, "text": "Yeah, okay, because.", "raw_text": "Yeah, okay, because.", "start_time": 1887.4, "end_time": 1888.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 430, "text": "And, and you see, they now allow persistence for the sandboxes, like indefinitely.", "raw_text": "And, and you see, they now allow persistence for the sandboxes, like indefinitely.", "start_time": 1891.04, "end_time": 1895.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 431, "text": "I mean, there's obviously some charge to.", "raw_text": "I mean, there's obviously some charge to.", "start_time": 1895.84, "end_time": 1898, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 432, "text": "That, so you gotta pay for that.", "raw_text": "That, so you gotta pay for that.", "start_time": 1898, "end_time": 1899.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 433, "text": "But, but now like, I mean the apps are just.", "raw_text": "But, but now like, I mean the apps are just.", "start_time": 1899.93, "end_time": 1902.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 434, "text": "You just save a snapshot and you can pull that app up whenever.", "raw_text": "You just save a snapshot and you can pull that app up whenever.", "start_time": 1902.89, "end_time": 1906.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 435, "text": "Like, yep, there, there's no cost there.", "raw_text": "Like, yep, there, there's no cost there.", "start_time": 1906.41, "end_time": 1910.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 436, "text": "And then that gets really clean in terms of like, okay, new instance of foundation for safeguard.", "raw_text": "And then that gets really clean in terms of like, okay, new instance of foundation for safeguard.", "start_time": 1911.13, "end_time": 1918.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 437, "text": "We got into those discussions when you're out, like, well, if I want to add something here, a custom component here, like, and if it's a platform, like I don't have access to your source code.", "raw_text": "We got into those discussions when you're out, like, well, if I want to add something here, a custom component here, like, and if it's a platform, like I don't have access to your source code.", "start_time": 1919.21, "end_time": 1929.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 438, "text": "So how do I deploy that?", "raw_text": "So how do I deploy that?", "start_time": 1929.8, "end_time": 1930.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 439, "text": "This gives a much cleaner way to do that.", "raw_text": "This gives a much cleaner way to do that.", "start_time": 1931.4, "end_time": 1933.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 440, "text": "It's like, okay, you're writing this JSX here and it's going to be deployable.", "raw_text": "It's like, okay, you're writing this JSX here and it's going to be deployable.", "start_time": 1933.92, "end_time": 1940.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 441, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1940.84, "end_time": 1941.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 442, "text": "I think one thing we'll have to figure out is if we're going to need an Azure AWS flavor of that because that does tie us pretty heavily to Vercel.", "raw_text": "I think one thing we'll have to figure out is if we're going to need an Azure AWS flavor of that because that does tie us pretty heavily to Vercel.", "start_time": 1944.68, "end_time": 1956.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 443, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1958.97, "end_time": 1959.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 444, "text": "So just something to keep in mind.", "raw_text": "So just something to keep in mind.", "start_time": 1959.33, "end_time": 1960.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 445, "text": "It's not, it's not going to be.", "raw_text": "It's not, it's not going to be.", "start_time": 1960.85, "end_time": 1962.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 446, "text": "An issue right now unless Safeguard says they want to host this on AWS.", "raw_text": "An issue right now unless Safeguard says they want to host this on AWS.", "start_time": 1962.01, "end_time": 1965.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 447, "text": "But.", "raw_text": "But.", "start_time": 1965.21, "end_time": 1965.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 448, "text": "Well I think the, the actual VMs, whatever they're called that like Vercel runs is literally the exact same stuff Amazon runs.", "raw_text": "Well I think the, the actual VMs, whatever they're called that like Vercel runs is literally the exact same stuff Amazon runs.", "start_time": 1966.09, "end_time": 1974.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 449, "text": "Like the micro fire VM like whatever the Linux VM's called.", "raw_text": "Like the micro fire VM like whatever the Linux VM's called.", "start_time": 1974.21, "end_time": 1977.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 450, "text": "It's exactly what like lambda functions run.", "raw_text": "It's exactly what like lambda functions run.", "start_time": 1978.02, "end_time": 1980.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 451, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1982.26, "end_time": 1982.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 452, "text": "Okay, sweet.", "raw_text": "Okay, sweet.", "start_time": 1982.98, "end_time": 1983.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 453, "text": "Yeah, I'm sure like, I mean it's.", "raw_text": "Yeah, I'm sure like, I mean it's.", "start_time": 1983.62, "end_time": 1985.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 454, "text": "Not, it's not like a one to one swap but I was going to say, I mean I could look into it.", "raw_text": "Not, it's not like a one to one swap but I was going to say, I mean I could look into it.", "start_time": 1985.66, "end_time": 1990.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 455, "text": "I was because I was reading the other day while I was working about like how all the sandboxing stuff works and I know that it's like very comparable architecture like how the Linux like sandbox work sets up.", "raw_text": "I was because I was reading the other day while I was working about like how all the sandboxing stuff works and I know that it's like very comparable architecture like how the Linux like sandbox work sets up.", "start_time": 1990.1, "end_time": 2001.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 456, "text": "I didn't ask like oh can we just replicate it?", "raw_text": "I didn't ask like oh can we just replicate it?", "start_time": 2001.1, "end_time": 2003.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 457, "text": "Because obviously Vercel adds all these niceties of like how we're using it but.", "raw_text": "Because obviously Vercel adds all these niceties of like how we're using it but.", "start_time": 2003.18, "end_time": 2006.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 458, "text": "But it can't be impossible.", "raw_text": "But it can't be impossible.", "start_time": 2006.7, "end_time": 2008.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 459, "text": "It's the exact same tech that they have like this there.", "raw_text": "It's the exact same tech that they have like this there.", "start_time": 2008.3, "end_time": 2010.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 460, "text": "It's not possible but it's probably not even that high of effort.", "raw_text": "It's not possible but it's probably not even that high of effort.", "start_time": 2010.46, "end_time": 2013.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 461, "text": "But I didn't look into it.", "raw_text": "But I didn't look into it.", "start_time": 2013.82, "end_time": 2015.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 462, "text": "No, it's not impossible.", "raw_text": "No, it's not impossible.", "start_time": 2015.74, "end_time": 2016.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 463, "text": "I think it's something we should just have in the back of our heads like like eventually if we're saying bring your own cloud like for all those key infrastructure points, we're just going to have to have some sort of adapters that you know, handle all that logic and use through the adapters.", "raw_text": "I think it's something we should just have in the back of our heads like like eventually if we're saying bring your own cloud like for all those key infrastructure points, we're just going to have to have some sort of adapters that you know, handle all that logic and use through the adapters.", "start_time": 2016.86, "end_time": 2031.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 464, "text": "But yeah, that all sounds good.", "raw_text": "But yeah, that all sounds good.", "start_time": 2033.43, "end_time": 2036.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 465, "text": "Yeah, I guess that's probably everything for today.", "raw_text": "Yeah, I guess that's probably everything for today.", "start_time": 2042.31, "end_time": 2045.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 466, "text": "I guess the only other thing would be.", "raw_text": "I guess the only other thing would be.", "start_time": 2046.39, "end_time": 2047.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 467, "text": "I think that the ideal thing too is I gotta.", "raw_text": "I think that the ideal thing too is I gotta.", "start_time": 2047.99, "end_time": 2050.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 468, "text": "Well I'm out next week so I'm gonna try to get this app stuff like pushed and merged or at least you fully up to date.", "raw_text": "Well I'm out next week so I'm gonna try to get this app stuff like pushed and merged or at least you fully up to date.", "start_time": 2050.15, "end_time": 2055.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 469, "text": "Like before I leave I'll be like reachable but I've gotta be out.", "raw_text": "Like before I leave I'll be like reachable but I've gotta be out.", "start_time": 2055.63, "end_time": 2058.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 470, "text": "And then the other thing would be like I want to try to get us done asap but meetings rest of the day, most of the day but as soon as this like WYSIWYG stuff's all set up I can just have read like testing it and like recording it.", "raw_text": "And then the other thing would be like I want to try to get us done asap but meetings rest of the day, most of the day but as soon as this like WYSIWYG stuff's all set up I can just have read like testing it and like recording it.", "start_time": 2058.85, "end_time": 2070.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 471, "text": "It's like a free business user.", "raw_text": "It's like a free business user.", "start_time": 2070.61, "end_time": 2072.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 472, "text": "I got him like onboarded to it the other day and like prod he thought was pretty sweet.", "raw_text": "I got him like onboarded to it the other day and like prod he thought was pretty sweet.", "start_time": 2072.13, "end_time": 2075.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 473, "text": "So that'd be cool.", "raw_text": "So that'd be cool.", "start_time": 2075.65, "end_time": 2076.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 474, "text": "And then I feel like if we get these initial like use cases in we.", "raw_text": "And then I feel like if we get these initial like use cases in we.", "start_time": 2076.53, "end_time": 2080.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 475, "text": "The other thing too is like some of the guys like Mitch was mentioning too.", "raw_text": "The other thing too is like some of the guys like Mitch was mentioning too.", "start_time": 2080.21, "end_time": 2082.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 476, "text": "Like we said we give it to the guys at some point.", "raw_text": "Like we said we give it to the guys at some point.", "start_time": 2082.69, "end_time": 2084.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 477, "text": "Like I don't know if we should do like a company like a another company wide update or like just like, like it's in Prague.", "raw_text": "Like I don't know if we should do like a company like a another company wide update or like just like, like it's in Prague.", "start_time": 2084.49, "end_time": 2090.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 478, "text": "We could tell people they can start messing with it.", "raw_text": "We could tell people they can start messing with it.", "start_time": 2090.61, "end_time": 2092.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 479, "text": "Maybe we don't have to like put effort into it.", "raw_text": "Maybe we don't have to like put effort into it.", "start_time": 2092.05, "end_time": 2093.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 480, "text": "But I know people are like curious.", "raw_text": "But I know people are like curious.", "start_time": 2093.61, "end_time": 2096.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 481, "text": "I don't know if we have a, an angle there or plan.", "raw_text": "I don't know if we have a, an angle there or plan.", "start_time": 2096.01, "end_time": 2098.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 482, "text": "Yeah, I'm more, I'd say I'm more concerned of getting like the non programmer stuff to people.", "raw_text": "Yeah, I'm more, I'd say I'm more concerned of getting like the non programmer stuff to people.", "start_time": 2100.65, "end_time": 2107.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 483, "text": "Like I agree.", "raw_text": "Like I agree.", "start_time": 2107.61, "end_time": 2108.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 484, "text": "Well maybe just like even point man, like just say like oh like because like the MCP stuff like Mitch was like probably useful.", "raw_text": "Well maybe just like even point man, like just say like oh like because like the MCP stuff like Mitch was like probably useful.", "start_time": 2109.45, "end_time": 2115.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 485, "text": "Like even let them know like you can pull that in.", "raw_text": "Like even let them know like you can pull that in.", "start_time": 2115.7, "end_time": 2117.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 486, "text": "How much time we got?", "raw_text": "How much time we got?", "start_time": 2118.06, "end_time": 2119.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 487, "text": "Like 20 minutes if you need it or I don't know if nurse got another meeting.", "raw_text": "Like 20 minutes if you need it or I don't know if nurse got another meeting.", "start_time": 2120.7, "end_time": 2123.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "I got it real quick.", "raw_text": "I got it real quick.", "start_time": 2123.74, "end_time": 2124.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 489, "text": "I did a data dump on like this whole thing of like some of the feedback we got from the use cases was like I guess it'd be like tribal knowledge.", "raw_text": "I did a data dump on like this whole thing of like some of the feedback we got from the use cases was like I guess it'd be like tribal knowledge.", "start_time": 2124.94, "end_time": 2135.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 490, "text": "It kind of gets into some of the, the company playbook stuff you started to put together.", "raw_text": "It kind of gets into some of the, the company playbook stuff you started to put together.", "start_time": 2136.7, "end_time": 2141.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 491, "text": "Murphy.", "raw_text": "Murphy.", "start_time": 2141.54, "end_time": 2142.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 492, "text": "And then there's also like the customer context that Christopher has in his replit app that he shared with me and I think the garage has an app with some of that customer context stuff.", "raw_text": "And then there's also like the customer context that Christopher has in his replit app that he shared with me and I think the garage has an app with some of that customer context stuff.", "start_time": 2143.28, "end_time": 2154.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 493, "text": "Like stuff that doesn't live in any of our source data systems.", "raw_text": "Like stuff that doesn't live in any of our source data systems.", "start_time": 2154.96, "end_time": 2158.439, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 494, "text": "But it's like we've done some degree of capturing that knowledge.", "raw_text": "But it's like we've done some degree of capturing that knowledge.", "start_time": 2158.439, "end_time": 2163.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 495, "text": "I think there's like a million angles we could take on this.", "raw_text": "I think there's like a million angles we could take on this.", "start_time": 2164.8, "end_time": 2168.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 496, "text": "I think in foundation there's like that was kind of like the knowledge based spaces concept that we could rehash.", "raw_text": "I think in foundation there's like that was kind of like the knowledge based spaces concept that we could rehash.", "start_time": 2168.96, "end_time": 2176.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 497, "text": "I think the killer app that it's not possible yet but if Claude ever opened up like programmatic access to their projects that's like the ideal place for it because then you get RAG as a service essentially.", "raw_text": "I think the killer app that it's not possible yet but if Claude ever opened up like programmatic access to their projects that's like the ideal place for it because then you get RAG as a service essentially.", "start_time": 2178.72, "end_time": 2197.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 498, "text": "I did some deep digging on like because then we also talked about like well should that just live in SharePoint and everyone is just instructed to point their coworker to SharePoint.", "raw_text": "I did some deep digging on like because then we also talked about like well should that just live in SharePoint and everyone is just instructed to point their coworker to SharePoint.", "start_time": 2198.92, "end_time": 2207.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 499, "text": "That hypothetically should not be any more beneficial than just exposing an MCP that has that data because there's no rag.", "raw_text": "That hypothetically should not be any more beneficial than just exposing an MCP that has that data because there's no rag.", "start_time": 2208.68, "end_time": 2220.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 500, "text": "Claude does no indexing or RAG on a folder.", "raw_text": "Claude does no indexing or RAG on a folder.", "start_time": 2220.6, "end_time": 2223.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 501, "text": "It really doesn't help that much.", "raw_text": "It really doesn't help that much.", "start_time": 2223.64, "end_time": 2225.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 502, "text": "And Claude does no indexing a RAG on ncp.", "raw_text": "And Claude does no indexing a RAG on ncp.", "start_time": 2225.08, "end_time": 2227.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 503, "text": "It's all agentic retrieval on demand for both of those paradigms, if you could programmatically put it in their project folder.", "raw_text": "It's all agentic retrieval on demand for both of those paradigms, if you could programmatically put it in their project folder.", "start_time": 2227.64, "end_time": 2237.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 504, "text": "They do a lot of intelligent stuff of actually like indexing and ragging on like quad web, but they don't.", "raw_text": "They do a lot of intelligent stuff of actually like indexing and ragging on like quad web, but they don't.", "start_time": 2237.94, "end_time": 2243.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 505, "text": "There's no programmatic access to that.", "raw_text": "There's no programmatic access to that.", "start_time": 2243.86, "end_time": 2245.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 506, "text": "Yeah, I know.", "raw_text": "Yeah, I know.", "start_time": 2245.5, "end_time": 2245.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 507, "text": "That's the.", "raw_text": "That's the.", "start_time": 2245.98, "end_time": 2246.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 508, "text": "That's the thing that's like killing us when we can't share project projects on cloud is probably like, it's almost a close second.", "raw_text": "That's the thing that's like killing us when we can't share project projects on cloud is probably like, it's almost a close second.", "start_time": 2246.38, "end_time": 2253.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 509, "text": "You can share now Org space, but like moving from my old project to new projects and then if I could hook those projects up on my web to my Claude code together.", "raw_text": "You can share now Org space, but like moving from my old project to new projects and then if I could hook those projects up on my web to my Claude code together.", "start_time": 2253.54, "end_time": 2262.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 510, "text": "Oh my gosh.", "raw_text": "Oh my gosh.", "start_time": 2262.74, "end_time": 2263.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 511, "text": "But that's where I was trying to mess around with like.", "raw_text": "But that's where I was trying to mess around with like.", "start_time": 2263.54, "end_time": 2265.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 512, "text": "And then I was even like, well, I guess you could use computer use and hack it around it.", "raw_text": "And then I was even like, well, I guess you could use computer use and hack it around it.", "start_time": 2265.3, "end_time": 2269.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 513, "text": "Well, what I tried to do was you can use the connector for like local storage on claude.", "raw_text": "Well, what I tried to do was you can use the connector for like local storage on claude.", "start_time": 2269.14, "end_time": 2273.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 514, "text": "So then I put like a local file on my computer and then I just pointed my claw code and my claude at it and was like dumping projects in.", "raw_text": "So then I put like a local file on my computer and then I just pointed my claw code and my claude at it and was like dumping projects in.", "start_time": 2273.66, "end_time": 2280.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 515, "text": "But I don't think the indexing is as good.", "raw_text": "But I don't think the indexing is as good.", "start_time": 2280.94, "end_time": 2282.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 516, "text": "And it was like.", "raw_text": "And it was like.", "start_time": 2282.5, "end_time": 2283.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 517, "text": "It was a lot of steps to do that.", "raw_text": "It was a lot of steps to do that.", "start_time": 2284.02, "end_time": 2285.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 518, "text": "And I was like, all right, this is like not worth it.", "raw_text": "And I was like, all right, this is like not worth it.", "start_time": 2285.74, "end_time": 2287.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 519, "text": "So, yeah, I don't.", "raw_text": "So, yeah, I don't.", "start_time": 2287.98, "end_time": 2288.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 520, "text": "I think we gotta pump the brakes on like, does it make sense to just.", "raw_text": "I think we gotta pump the brakes on like, does it make sense to just.", "start_time": 2288.86, "end_time": 2292.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 521, "text": "Maybe it does make sense to share stuff via like SharePoint.", "raw_text": "Maybe it does make sense to share stuff via like SharePoint.", "start_time": 2292.54, "end_time": 2296.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 522, "text": "And then you tell people, like, point this at your plug, put cloud code at this.", "raw_text": "And then you tell people, like, point this at your plug, put cloud code at this.", "start_time": 2296.22, "end_time": 2300.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 523, "text": "But like, I don't even like SharePoint.", "raw_text": "But like, I don't even like SharePoint.", "start_time": 2300.1, "end_time": 2301.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 524, "text": "But Theoret, theoretically.", "raw_text": "But Theoret, theoretically.", "start_time": 2301.82, "end_time": 2303.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 525, "text": "No, actually, theoretically, performance wise, that should be no different than giving a well defined MCP that exposes that data to an LLM.", "raw_text": "No, actually, theoretically, performance wise, that should be no different than giving a well defined MCP that exposes that data to an LLM.", "start_time": 2303.26, "end_time": 2312.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 526, "text": "Like they're both retrieving it.", "raw_text": "Like they're both retrieving it.", "start_time": 2312.7, "end_time": 2314.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 527, "text": "Well, the MCP is so much more portable too.", "raw_text": "Well, the MCP is so much more portable too.", "start_time": 2314.72, "end_time": 2316.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 528, "text": "Like the pros are all in the favor.", "raw_text": "Like the pros are all in the favor.", "start_time": 2316.76, "end_time": 2318.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 529, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 2318.36, "end_time": 2319.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 530, "text": "Yep.", "raw_text": "Yep.", "start_time": 2319.04, "end_time": 2319.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 531, "text": "So that was one that was like K on our diagram.", "raw_text": "So that was one that was like K on our diagram.", "start_time": 2320.4, "end_time": 2324.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 532, "text": "Oh yeah, I did.", "raw_text": "Oh yeah, I did.", "start_time": 2325.36, "end_time": 2326.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 533, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2326.32, "end_time": 2326.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 534, "text": "I wanted to make.", "raw_text": "I wanted to make.", "start_time": 2327.04, "end_time": 2327.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 535, "text": "I was like.", "raw_text": "I was like.", "start_time": 2327.92, "end_time": 2328.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 536, "text": "I was like, okay.", "raw_text": "I was like, okay.", "start_time": 2328.28, "end_time": 2328.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 537, "text": "I ak.", "raw_text": "I ak.", "start_time": 2328.88, "end_time": 2329.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 538, "text": "They're like high priority, low impact and everything.", "raw_text": "They're like high priority, low impact and everything.", "start_time": 2329.48, "end_time": 2332.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 539, "text": "I made good progress on.", "raw_text": "I made good progress on.", "start_time": 2332.32, "end_time": 2333.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 540, "text": "I.", "raw_text": "I.", "start_time": 2333.52, "end_time": 2333.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 541, "text": "Did I share my artifact with you?", "raw_text": "Did I share my artifact with you?", "start_time": 2333.76, "end_time": 2335.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 542, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2335.36, "end_time": 2335.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 543, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2335.72, "end_time": 2335.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 544, "text": "Okay.", "raw_text": "Okay.", "start_time": 2335.92, "end_time": 2336.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 545, "text": "I like that we probably clean up and simplify it a ton.", "raw_text": "I like that we probably clean up and simplify it a ton.", "start_time": 2336.72, "end_time": 2339.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 546, "text": "But yeah, we should make that like a standard artifact.", "raw_text": "But yeah, we should make that like a standard artifact.", "start_time": 2339.4, "end_time": 2341.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 547, "text": "It gets produced out of those.", "raw_text": "It gets produced out of those.", "start_time": 2341.92, "end_time": 2343.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 548, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2343.66, "end_time": 2343.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 549, "text": "With clients.", "raw_text": "With clients.", "start_time": 2343.94, "end_time": 2344.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 550, "text": "But K, I'm guessing right now is like either.", "raw_text": "But K, I'm guessing right now is like either.", "start_time": 2346.38, "end_time": 2351.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 551, "text": "Either.", "raw_text": "Either.", "start_time": 2352.7, "end_time": 2353.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 552, "text": "Which I don't think we have cycles to do.", "raw_text": "Which I don't think we have cycles to do.", "start_time": 2353.34, "end_time": 2355.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 553, "text": "Either we pick up, pick back up like the spaces or knowledge base concept and actually get like a good rag implementation in there, or we simply just expose that stuff via the mcp.", "raw_text": "Either we pick up, pick back up like the spaces or knowledge base concept and actually get like a good rag implementation in there, or we simply just expose that stuff via the mcp.", "start_time": 2355.02, "end_time": 2369.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 554, "text": "The would be my Two approaches to that and.", "raw_text": "The would be my Two approaches to that and.", "start_time": 2370.24, "end_time": 2375.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 555, "text": "Or we wait for Quad to like, eventually announce some programmatic access to projects, because then that becomes like, that essentially becomes like rag as a service.", "raw_text": "Or we wait for Quad to like, eventually announce some programmatic access to projects, because then that becomes like, that essentially becomes like rag as a service.", "start_time": 2375.84, "end_time": 2387.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 556, "text": "Anything new we can dump into there and then like, you're just referencing a project when you're talking to it and you're going to get all like the RAG stuff built in.", "raw_text": "Anything new we can dump into there and then like, you're just referencing a project when you're talking to it and you're going to get all like the RAG stuff built in.", "start_time": 2388.4, "end_time": 2397.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 557, "text": "Do you think that's something we should.", "raw_text": "Do you think that's something we should.", "start_time": 2401.39, "end_time": 2402.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 558, "text": "We should have on our platform side?", "raw_text": "We should have on our platform side?", "start_time": 2403.31, "end_time": 2405.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 559, "text": "So, like, all that, all those files are just stored in some sort of blob storage.", "raw_text": "So, like, all that, all those files are just stored in some sort of blob storage.", "start_time": 2405.39, "end_time": 2410.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 560, "text": "And then we also have the ability to layer on top of that rag or whatever we need to on the data platform side.", "raw_text": "And then we also have the ability to layer on top of that rag or whatever we need to on the data platform side.", "start_time": 2410.67, "end_time": 2416.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 561, "text": "And then that all gets wrapped up into our mcp.", "raw_text": "And then that all gets wrapped up into our mcp.", "start_time": 2417.31, "end_time": 2419.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 562, "text": "Yeah, we could start out with it just being pretty dumb.", "raw_text": "Yeah, we could start out with it just being pretty dumb.", "start_time": 2420.51, "end_time": 2424.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 563, "text": "Like, we're not doing any rag.", "raw_text": "Like, we're not doing any rag.", "start_time": 2424.44, "end_time": 2426.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 564, "text": "Here's.", "raw_text": "Here's.", "start_time": 2426.92, "end_time": 2427.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 565, "text": "Yeah, really, like.", "raw_text": "Yeah, really, like.", "start_time": 2427.36, "end_time": 2428.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 566, "text": "Yep.", "raw_text": "Yep.", "start_time": 2428.48, "end_time": 2429, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 567, "text": "And then that should be no different than us saying like, here's a SharePoint file or here's a SharePoint folder with data about a project.", "raw_text": "And then that should be no different than us saying like, here's a SharePoint file or here's a SharePoint folder with data about a project.", "start_time": 2430.04, "end_time": 2438.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 568, "text": "Because either way the LLM is going to have to like, query it and essentially grep it and go through it.", "raw_text": "Because either way the LLM is going to have to like, query it and essentially grep it and go through it.", "start_time": 2438.76, "end_time": 2448.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 569, "text": "All right.", "raw_text": "All right.", "start_time": 2448.76, "end_time": 2450.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 570, "text": "Yep.", "raw_text": "Yep.", "start_time": 2450.8, "end_time": 2451.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 571, "text": "I mean, we figured out we do have like an mv.", "raw_text": "I mean, we figured out we do have like an mv.", "start_time": 2452.32, "end_time": 2456.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 572, "text": "Like, I'll call it a POC MVP of rag.", "raw_text": "Like, I'll call it a POC MVP of rag.", "start_time": 2456.64, "end_time": 2459.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 573, "text": "Like on the app side, that works fairly well.", "raw_text": "Like on the app side, that works fairly well.", "start_time": 2459.12, "end_time": 2462.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 574, "text": "But we're talking a whole different animal here, storing all that stuff.", "raw_text": "But we're talking a whole different animal here, storing all that stuff.", "start_time": 2462.84, "end_time": 2466.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 575, "text": "I know.", "raw_text": "I know.", "start_time": 2467.36, "end_time": 2467.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 576, "text": "Have you, like, I know Google does have a pretty decent RAG as like a service essentially, like for the full documents.", "raw_text": "Have you, like, I know Google does have a pretty decent RAG as like a service essentially, like for the full documents.", "start_time": 2469.04, "end_time": 2477.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 577, "text": "So maybe.", "raw_text": "So maybe.", "start_time": 2479.41, "end_time": 2480.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 578, "text": "Maybe that's another option too.", "raw_text": "Maybe that's another option too.", "start_time": 2480.13, "end_time": 2481.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 579, "text": "Did that run through?", "raw_text": "Did that run through?", "start_time": 2482.37, "end_time": 2483.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 580, "text": "I guess we'd have to figure out how to wrap that.", "raw_text": "I guess we'd have to figure out how to wrap that.", "start_time": 2483.89, "end_time": 2485.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 581, "text": "I guess you could put the MCP on top of that.", "raw_text": "I guess you could put the MCP on top of that.", "start_time": 2486.93, "end_time": 2489.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 582, "text": "Yeah, but getting it to run through the AI gateway, looking at a space wouldn't work, I don't think, unless the AI gateway has some through the AI gateway.", "raw_text": "Yeah, but getting it to run through the AI gateway, looking at a space wouldn't work, I don't think, unless the AI gateway has some through the AI gateway.", "start_time": 2491.41, "end_time": 2504.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 583, "text": "Because my thought was like, if you did brag as a service is new file comes in about safeguard, we triage it.", "raw_text": "Because my thought was like, if you did brag as a service is new file comes in about safeguard, we triage it.", "start_time": 2507.81, "end_time": 2518.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 584, "text": "We say, oh, this.", "raw_text": "We say, oh, this.", "start_time": 2518.17, "end_time": 2518.889, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 585, "text": "This needs to go into the safeguard knowledge base.", "raw_text": "This needs to go into the safeguard knowledge base.", "start_time": 2518.889, "end_time": 2521.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 586, "text": "Yep.", "raw_text": "Yep.", "start_time": 2522.37, "end_time": 2523.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 587, "text": "And then we just send it.", "raw_text": "And then we just send it.", "start_time": 2523.25, "end_time": 2524.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 588, "text": "And then like Google behind the scenes is doing all the indexing for it.", "raw_text": "And then like Google behind the scenes is doing all the indexing for it.", "start_time": 2524.53, "end_time": 2528.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 589, "text": "And then if you started a chat, you would reference this project space.", "raw_text": "And then if you started a chat, you would reference this project space.", "start_time": 2530.85, "end_time": 2535.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 590, "text": "But you'd have to be like using a.", "raw_text": "But you'd have to be like using a.", "start_time": 2535.57, "end_time": 2538.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 591, "text": "You'd have to be like, only using a certain LLM that way.", "raw_text": "You'd have to be like, only using a certain LLM that way.", "start_time": 2539.01, "end_time": 2542.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 592, "text": "Yeah, we.", "raw_text": "Yeah, we.", "start_time": 2547.73, "end_time": 2548.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 593, "text": "We'd certainly have to think that through.", "raw_text": "We'd certainly have to think that through.", "start_time": 2548.29, "end_time": 2550.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 594, "text": "Like, it almost becomes a.", "raw_text": "Like, it almost becomes a.", "start_time": 2550.01, "end_time": 2551.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 595, "text": "You need to be like a tool.", "raw_text": "You need to be like a tool.", "start_time": 2552.85, "end_time": 2554.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 596, "text": "Yeah, we can wrap it through that.", "raw_text": "Yeah, we can wrap it through that.", "start_time": 2555.48, "end_time": 2557, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 597, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2557.08, "end_time": 2557.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 598, "text": "But it's not like.", "raw_text": "But it's not like.", "start_time": 2559, "end_time": 2560.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 599, "text": "It's not like the same thing that you would anticipate like in my mind, Claude.", "raw_text": "It's not like the same thing that you would anticipate like in my mind, Claude.", "start_time": 2561.08, "end_time": 2565.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 600, "text": "Claude is like when you're in a project behind the scenes, it's talking to its LLM with like a new chat completion route and it's just referencing a project space and then it's handling it.", "raw_text": "Claude is like when you're in a project behind the scenes, it's talking to its LLM with like a new chat completion route and it's just referencing a project space and then it's handling it.", "start_time": 2565.88, "end_time": 2575.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 601, "text": "Like we couldn't do that through the AI gateway because we need to be like more.", "raw_text": "Like we couldn't do that through the AI gateway because we need to be like more.", "start_time": 2575.72, "end_time": 2581.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 602, "text": "Well, I mean, I think we could figure that out like architecturally.", "raw_text": "Well, I mean, I think we could figure that out like architecturally.", "start_time": 2583.11, "end_time": 2590.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 603, "text": "Like do we have the.", "raw_text": "Like do we have the.", "start_time": 2591.11, "end_time": 2595.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 604, "text": "The document upload per space right now?", "raw_text": "The document upload per space right now?", "start_time": 2595.99, "end_time": 2598.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 605, "text": "I don't remember if we have that or not.", "raw_text": "I don't remember if we have that or not.", "start_time": 2598.79, "end_time": 2600.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 606, "text": "I think that would.", "raw_text": "I think that would.", "start_time": 2601.91, "end_time": 2602.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 607, "text": "Just that portion of it would need to be more like service oriented and tied into.", "raw_text": "Just that portion of it would need to be more like service oriented and tied into.", "start_time": 2602.75, "end_time": 2610.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 608, "text": "Tied into that Google piece, right?", "raw_text": "Tied into that Google piece, right?", "start_time": 2610.94, "end_time": 2614.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 609, "text": "Yeah, yeah, yeah, that.", "raw_text": "Yeah, yeah, yeah, that.", "start_time": 2614.86, "end_time": 2616.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 610, "text": "That's a. I think it.", "raw_text": "That's a. I think it.", "start_time": 2616.46, "end_time": 2618.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 611, "text": "We're certainly seeing like the pattern there.", "raw_text": "We're certainly seeing like the pattern there.", "start_time": 2618.38, "end_time": 2620.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 612, "text": "It's just a matter of how we want to solve it.", "raw_text": "It's just a matter of how we want to solve it.", "start_time": 2620.62, "end_time": 2622.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 613, "text": "Google too.", "raw_text": "Google too.", "start_time": 2625.26, "end_time": 2626.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 614, "text": "I don't know if this is the same library, but they had that release of.", "raw_text": "I don't know if this is the same library, but they had that release of.", "start_time": 2626.86, "end_time": 2631.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 615, "text": "Of like vector.", "raw_text": "Of like vector.", "start_time": 2634.15, "end_time": 2635.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 616, "text": "Vector data.", "raw_text": "Vector data.", "start_time": 2635.19, "end_time": 2636.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 617, "text": "Multimodal vector data.", "raw_text": "Multimodal vector data.", "start_time": 2636.23, "end_time": 2638.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 618, "text": "I still need to read that.", "raw_text": "I still need to read that.", "start_time": 2638.63, "end_time": 2639.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 619, "text": "Oh yeah, that looks sick.", "raw_text": "Oh yeah, that looks sick.", "start_time": 2639.71, "end_time": 2640.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 620, "text": "I need to read that.", "raw_text": "I need to read that.", "start_time": 2640.87, "end_time": 2641.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 621, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2641.59, "end_time": 2641.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 622, "text": "So like not just documents, but like video, anything.", "raw_text": "So like not just documents, but like video, anything.", "start_time": 2641.87, "end_time": 2645.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 623, "text": "So like, is that something we can take advantage of too?", "raw_text": "So like, is that something we can take advantage of too?", "start_time": 2645.03, "end_time": 2648.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 624, "text": "That's like what Hume was doing.", "raw_text": "That's like what Hume was doing.", "start_time": 2648.79, "end_time": 2650.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 625, "text": "Hume was doing that forever ago with their emotional intelligence thing.", "raw_text": "Hume was doing that forever ago with their emotional intelligence thing.", "start_time": 2650.39, "end_time": 2653.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 626, "text": "And it was pretty sweet because they had these embedding spaces of that other stuff.", "raw_text": "And it was pretty sweet because they had these embedding spaces of that other stuff.", "start_time": 2653.75, "end_time": 2657.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 627, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2658.87, "end_time": 2659.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 628, "text": "Oh, sorry, go ahead.", "raw_text": "Oh, sorry, go ahead.", "start_time": 2662.69, "end_time": 2663.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 629, "text": "Oh yeah, I said I was gonna.", "raw_text": "Oh yeah, I said I was gonna.", "start_time": 2664.21, "end_time": 2665.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 630, "text": "I'm gonna start like an experimental branch or something and play around with Google on that.", "raw_text": "I'm gonna start like an experimental branch or something and play around with Google on that.", "start_time": 2665.73, "end_time": 2670.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 631, "text": "Backspin in on rag I hear.", "raw_text": "Backspin in on rag I hear.", "start_time": 2670.21, "end_time": 2672.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 632, "text": "Well, I don't wanna.", "raw_text": "Well, I don't wanna.", "start_time": 2673.41, "end_time": 2674.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 633, "text": "I don't think we could possibly do it as well as like.", "raw_text": "I don't think we could possibly do it as well as like.", "start_time": 2674.33, "end_time": 2680.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 634, "text": "Oh no, pause.", "raw_text": "Oh no, pause.", "start_time": 2680.77, "end_time": 2681.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 635, "text": "Projects thing is pretty intelligent.", "raw_text": "Projects thing is pretty intelligent.", "start_time": 2681.81, "end_time": 2683.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 636, "text": "Yeah, well, it's just the amount of engineering they have into it and they.", "raw_text": "Yeah, well, it's just the amount of engineering they have into it and they.", "start_time": 2683.49, "end_time": 2686.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 637, "text": "Do the thing where they switch.", "raw_text": "Do the thing where they switch.", "start_time": 2686.21, "end_time": 2687.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 638, "text": "Like if it's enough to just pull stuff in context, they just pull it in context and then if you got so many project files in there, then they start to rag.", "raw_text": "Like if it's enough to just pull stuff in context, they just pull it in context and then if you got so many project files in there, then they start to rag.", "start_time": 2687.29, "end_time": 2694.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 639, "text": "Yeah, that's like.", "raw_text": "Yeah, that's like.", "start_time": 2694.41, "end_time": 2695.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 640, "text": "Well even.", "raw_text": "Well even.", "start_time": 2695.17, "end_time": 2695.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 641, "text": "Yeah, that's just a good RAG system.", "raw_text": "Yeah, that's just a good RAG system.", "start_time": 2695.69, "end_time": 2697.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 642, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2697.05, "end_time": 2697.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 643, "text": "But like for us that's a huge effort.", "raw_text": "But like for us that's a huge effort.", "start_time": 2697.57, "end_time": 2700.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 644, "text": "So I want something that like we can programmatically on our side acknowledge when something new comes in SharePoint or something new gets shared into the more on Playbook and we just like almost like.", "raw_text": "So I want something that like we can programmatically on our side acknowledge when something new comes in SharePoint or something new gets shared into the more on Playbook and we just like almost like.", "start_time": 2700.45, "end_time": 2715.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 645, "text": "Triage and index it and we just tell.", "raw_text": "Triage and index it and we just tell.", "start_time": 2715.01, "end_time": 2716.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 646, "text": "We just hit API that's doing the RAG for us.", "raw_text": "We just hit API that's doing the RAG for us.", "start_time": 2716.77, "end_time": 2719.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 647, "text": "Oh yeah, we can reference that project or space ID somehow in our pipeline intelligently.", "raw_text": "Oh yeah, we can reference that project or space ID somehow in our pipeline intelligently.", "start_time": 2719.05, "end_time": 2726.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 648, "text": "Yeah, I was actually.", "raw_text": "Yeah, I was actually.", "start_time": 2727.12, "end_time": 2728.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 649, "text": "Oh, go ahead, Murph.", "raw_text": "Oh, go ahead, Murph.", "start_time": 2728.56, "end_time": 2729.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 650, "text": "I'll just say I'm not going to say it's as good as Synthropics.", "raw_text": "I'll just say I'm not going to say it's as good as Synthropics.", "start_time": 2729.68, "end_time": 2732.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 651, "text": "But we do have that concept in our reg when you add a file to a chat or to a project to say if this file is essentially small enough, like we're just going to pull the whole damn thing in versus trying to, to do some smart rag on it.", "raw_text": "But we do have that concept in our reg when you add a file to a chat or to a project to say if this file is essentially small enough, like we're just going to pull the whole damn thing in versus trying to, to do some smart rag on it.", "start_time": 2732.64, "end_time": 2747.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 652, "text": "And we do.", "raw_text": "And we do.", "start_time": 2747.54, "end_time": 2748.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 653, "text": "Like I, Kaden and I did that a while ago.", "raw_text": "Like I, Kaden and I did that a while ago.", "start_time": 2748.02, "end_time": 2750.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 654, "text": "Like the standard.", "raw_text": "Like the standard.", "start_time": 2750.46, "end_time": 2751.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 655, "text": "Like,.", "raw_text": "Like,.", "start_time": 2751.5, "end_time": 2751.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 656, "text": "Like.", "raw_text": "Like.", "start_time": 2755.38, "end_time": 2755.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 657, "text": "I would, I would say credit to us because the exact things that we said was like bare minimum is exactly what Claude said would be good for a system in their training.", "raw_text": "I would, I would say credit to us because the exact things that we said was like bare minimum is exactly what Claude said would be good for a system in their training.", "start_time": 2760.82, "end_time": 2769.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 658, "text": "It was the exact topics that they covered were the exact things we talked about.", "raw_text": "It was the exact topics that they covered were the exact things we talked about.", "start_time": 2769.42, "end_time": 2772.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 659, "text": "Merv.", "raw_text": "Merv.", "start_time": 2772.9, "end_time": 2773.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 660, "text": "So it's like well we were on directionally there.", "raw_text": "So it's like well we were on directionally there.", "start_time": 2773.26, "end_time": 2775.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 661, "text": "Heck yeah.", "raw_text": "Heck yeah.", "start_time": 2775.61, "end_time": 2776.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 662, "text": "I'll probably just probably told you that before.", "raw_text": "I'll probably just probably told you that before.", "start_time": 2776.89, "end_time": 2778.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 663, "text": "No, I, I, no I came up with that before Fly.", "raw_text": "No, I, I, no I came up with that before Fly.", "start_time": 2779.13, "end_time": 2781.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 664, "text": "It was my paper from like two years ago.", "raw_text": "It was my paper from like two years ago.", "start_time": 2781.69, "end_time": 2783.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 665, "text": "Well that's what Claude told me so.", "raw_text": "Well that's what Claude told me so.", "start_time": 2783.61, "end_time": 2785.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 666, "text": "Oh yeah, that is true.", "raw_text": "Oh yeah, that is true.", "start_time": 2786.49, "end_time": 2787.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 667, "text": "Claude, Claude runs the world.", "raw_text": "Claude, Claude runs the world.", "start_time": 2787.53, "end_time": 2788.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 668, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 2789.21, "end_time": 2789.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 669, "text": "But if we can Justin to that point, like if I don't want to reinvent the, the rag wheel there, like there's so much stuff to take advantage.", "raw_text": "But if we can Justin to that point, like if I don't want to reinvent the, the rag wheel there, like there's so much stuff to take advantage.", "start_time": 2789.81, "end_time": 2795.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 670, "text": "Like if we can pop in another service there, like we're going to do with sandboxing.", "raw_text": "Like if we can pop in another service there, like we're going to do with sandboxing.", "start_time": 2795.97, "end_time": 2799.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 671, "text": "Like let's do it.", "raw_text": "Like let's do it.", "start_time": 2799.65, "end_time": 2800.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 672, "text": "Yeah, yeah, that makes sense because I was thinking too the other day, it was actually when I was like building these apps like man, linking stuff to spaces would be cool.", "raw_text": "Yeah, yeah, that makes sense because I was thinking too the other day, it was actually when I was like building these apps like man, linking stuff to spaces would be cool.", "start_time": 2802.1, "end_time": 2809.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 673, "text": "I'm like man, we're honoring like we didn't do anything with space.", "raw_text": "I'm like man, we're honoring like we didn't do anything with space.", "start_time": 2809.7, "end_time": 2811.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 674, "text": "Like we've been shipping.", "raw_text": "Like we've been shipping.", "start_time": 2812.5, "end_time": 2813.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 675, "text": "I, I do, I, I don't know.", "raw_text": "I, I do, I, I don't know.", "start_time": 2813.34, "end_time": 2815.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 676, "text": "In my head I feel like that would connect with some of our business users is like just a bare minimum of this WYSIWYG Power Bi like plug into workflows.", "raw_text": "In my head I feel like that would connect with some of our business users is like just a bare minimum of this WYSIWYG Power Bi like plug into workflows.", "start_time": 2815.38, "end_time": 2825.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 677, "text": "Like okay, now they have a framework of something they've seen before to do anything they need to do and then, then we can make it sweet.", "raw_text": "Like okay, now they have a framework of something they've seen before to do anything they need to do and then, then we can make it sweet.", "start_time": 2825.3, "end_time": 2832.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 678, "text": "But at least we have that that exists and we can have like read making demos off it.", "raw_text": "But at least we have that that exists and we can have like read making demos off it.", "start_time": 2832.48, "end_time": 2836, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 679, "text": "But yeah, I think the context of like if we get workflows actually like Vibe codable with like good nodes that like connect stuff together that like our forward deploy engineers focus on hardening and then we're hooking those up to like apps that are like Vibe coded and you can edit them in chats and like put them in different spaces or subcategories.", "raw_text": "But yeah, I think the context of like if we get workflows actually like Vibe codable with like good nodes that like connect stuff together that like our forward deploy engineers focus on hardening and then we're hooking those up to like apps that are like Vibe coded and you can edit them in chats and like put them in different spaces or subcategories.", "start_time": 2836, "end_time": 2853.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 680, "text": "Like you're really onto something there.", "raw_text": "Like you're really onto something there.", "start_time": 2853.88, "end_time": 2855.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 681, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2855.52, "end_time": 2856, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 682, "text": "The only thing on that front you're going to need to figure out or we can do architecture Discussion together.", "raw_text": "The only thing on that front you're going to need to figure out or we can do architecture Discussion together.", "start_time": 2856.33, "end_time": 2863.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 683, "text": "I have.", "raw_text": "I have.", "start_time": 2863.85, "end_time": 2864.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 684, "text": "I think it might have been in the experimental as well that I sent you the idea of first party data in foundation.", "raw_text": "I think it might have been in the experimental as well that I sent you the idea of first party data in foundation.", "start_time": 2864.57, "end_time": 2874.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 685, "text": "So like for the dashboard planning dashboard, we pulled this data in once.", "raw_text": "So like for the dashboard planning dashboard, we pulled this data in once.", "start_time": 2875.13, "end_time": 2881.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 686, "text": "But then I have a thing where I was like, well, what if it.", "raw_text": "But then I have a thing where I was like, well, what if it.", "start_time": 2882, "end_time": 2884.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 687, "text": "Needs to be like live like once.", "raw_text": "Needs to be like live like once.", "start_time": 2884.88, "end_time": 2886.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 688, "text": "We pull it in, like we really don't want to maintain this Excel sheet.", "raw_text": "We pull it in, like we really don't want to maintain this Excel sheet.", "start_time": 2886.28, "end_time": 2889.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 689, "text": "We need like this data to be in foundation.", "raw_text": "We need like this data to be in foundation.", "start_time": 2889.84, "end_time": 2892, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 690, "text": "So like basically foundations in its postgres database basically has like app data.", "raw_text": "So like basically foundations in its postgres database basically has like app data.", "start_time": 2892.88, "end_time": 2900.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 691, "text": "Yep.", "raw_text": "Yep.", "start_time": 2900.72, "end_time": 2901.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 692, "text": "That also gets like runs through the pipeline back to the gold layer.", "raw_text": "That also gets like runs through the pipeline back to the gold layer.", "start_time": 2901.2, "end_time": 2905.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 693, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2905.08, "end_time": 2905.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 694, "text": "But it's like it's live like you just crud on top of the.", "raw_text": "But it's like it's live like you just crud on top of the.", "start_time": 2905.48, "end_time": 2908.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 695, "text": "Well, that crud could just be directly in like the widgets.", "raw_text": "Well, that crud could just be directly in like the widgets.", "start_time": 2909.08, "end_time": 2911.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 696, "text": "Yeah, but it'd be cool if we could.", "raw_text": "Yeah, but it'd be cool if we could.", "start_time": 2911.4, "end_time": 2912.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 697, "text": "We don't have to do this.", "raw_text": "We don't have to do this.", "start_time": 2913.32, "end_time": 2914.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 698, "text": "It'd be cool if we could like expose that and a uniform inside the same like Cube API.", "raw_text": "It'd be cool if we could like expose that and a uniform inside the same like Cube API.", "start_time": 2914.92, "end_time": 2921.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 699, "text": "Extend the Cube API to have like crud for these X tables.", "raw_text": "Extend the Cube API to have like crud for these X tables.", "start_time": 2921.72, "end_time": 2925.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 700, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2925.72, "end_time": 2925.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 701, "text": "And then what would we want to access them in the app through Cube and it's like a little loop or like postgres and then cube pulls it in or I guess tbd.", "raw_text": "And then what would we want to access them in the app through Cube and it's like a little loop or like postgres and then cube pulls it in or I guess tbd.", "start_time": 2925.96, "end_time": 2932.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 702, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2933, "end_time": 2933.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 703, "text": "Tbd.", "raw_text": "Tbd.", "start_time": 2933.44, "end_time": 2934.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 704, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2935.01, "end_time": 2935.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 705, "text": "I wasn't sure about that because I. I do recall that.", "raw_text": "I wasn't sure about that because I. I do recall that.", "start_time": 2935.21, "end_time": 2938.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 706, "text": "And that's where.", "raw_text": "And that's where.", "start_time": 2938.61, "end_time": 2939.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 707, "text": "Right.", "raw_text": "Right.", "start_time": 2939.49, "end_time": 2939.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 708, "text": "The both places like simultaneously.", "raw_text": "The both places like simultaneously.", "start_time": 2939.77, "end_time": 2941.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 709, "text": "That might be the easiest workaround.", "raw_text": "That might be the easiest workaround.", "start_time": 2941.97, "end_time": 2943.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 710, "text": "That's actually because there was a couple tables I changed that you had.", "raw_text": "That's actually because there was a couple tables I changed that you had.", "start_time": 2943.45, "end_time": 2946.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 711, "text": "And like I started off by just having redundancy.", "raw_text": "And like I started off by just having redundancy.", "start_time": 2946.25, "end_time": 2948.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 712, "text": "It's like I'm just gonna have both like cut it down later.", "raw_text": "It's like I'm just gonna have both like cut it down later.", "start_time": 2948.77, "end_time": 2951.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 713, "text": "But that's a good point.", "raw_text": "But that's a good point.", "start_time": 2951.65, "end_time": 2953.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 714, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2953.89, "end_time": 2954.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 715, "text": "Because there should be like net new data that doesn't come from source systems.", "raw_text": "Because there should be like net new data that doesn't come from source systems.", "start_time": 2954.37, "end_time": 2958.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 716, "text": "Well, I think as soon as I start doing yeah.", "raw_text": "Well, I think as soon as I start doing yeah.", "start_time": 2958.45, "end_time": 2960.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 717, "text": "These use cases, I was just gonna.", "raw_text": "These use cases, I was just gonna.", "start_time": 2960.33, "end_time": 2961.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 718, "text": "I was just gonna stash it and well, my first thought which would be like, obviously we need to refactor.", "raw_text": "I was just gonna stash it and well, my first thought which would be like, obviously we need to refactor.", "start_time": 2961.69, "end_time": 2967.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 719, "text": "This is like let's say like.", "raw_text": "This is like let's say like.", "start_time": 2967.04, "end_time": 2968.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 720, "text": "Because my in my head is like I have these four business use cases I really want and they're like standalone apps.", "raw_text": "Because my in my head is like I have these four business use cases I really want and they're like standalone apps.", "start_time": 2968.2, "end_time": 2972.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 721, "text": "They can just each have their own postgres database if they have enough.", "raw_text": "They can just each have their own postgres database if they have enough.", "start_time": 2972.6, "end_time": 2975.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 722, "text": "Like if it's a full app, I was just going to give it its own database.", "raw_text": "Like if it's a full app, I was just going to give it its own database.", "start_time": 2975.72, "end_time": 2978.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 723, "text": "But if it's like light stuff, then yeah, it makes sense to have in like the application database.", "raw_text": "But if it's like light stuff, then yeah, it makes sense to have in like the application database.", "start_time": 2979.48, "end_time": 2983.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 724, "text": "Yep.", "raw_text": "Yep.", "start_time": 2983.88, "end_time": 2984.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 725, "text": "And then I feel like us look like we talked about last week when you got these apps, you have an actual app presence ui.", "raw_text": "And then I feel like us look like we talked about last week when you got these apps, you have an actual app presence ui.", "start_time": 2985.16, "end_time": 2992.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 726, "text": "But then there could be like, okay, here's a programmatic way to access this data.", "raw_text": "But then there could be like, okay, here's a programmatic way to access this data.", "start_time": 2992.36, "end_time": 2998.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 727, "text": "If you want to use the MCP or there's MCP apps.", "raw_text": "If you want to use the MCP or there's MCP apps.", "start_time": 2998.08, "end_time": 3001.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 728, "text": "Like, there's got to be some, like, maybe like multiple ways to interact with these things.", "raw_text": "Like, there's got to be some, like, maybe like multiple ways to interact with these things.", "start_time": 3001.2, "end_time": 3006.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 729, "text": "Well, one thing that I felt like might be a deciding factor on that is like, so let's say, you know, I create an app and this app has first party data that we got to store somewhere and.", "raw_text": "Well, one thing that I felt like might be a deciding factor on that is like, so let's say, you know, I create an app and this app has first party data that we got to store somewhere and.", "start_time": 3006.6, "end_time": 3017.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 730, "text": "But it needs to be R backed.", "raw_text": "But it needs to be R backed.", "start_time": 3017.76, "end_time": 3019.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 731, "text": "Well, because it depends on like, which users are going to get it.", "raw_text": "Well, because it depends on like, which users are going to get it.", "start_time": 3019.28, "end_time": 3022.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 732, "text": "But then I share that app across the.", "raw_text": "But then I share that app across the.", "start_time": 3022.32, "end_time": 3024.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 733, "text": "Org and we can all hit it.", "raw_text": "Org and we can all hit it.", "start_time": 3024.28, "end_time": 3025.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 734, "text": "But depending on which user you are, it needs to be R backed on what data you need to see.", "raw_text": "But depending on which user you are, it needs to be R backed on what data you need to see.", "start_time": 3025.96, "end_time": 3029.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 735, "text": "Well, if we do it with Cube, where we already have that RBAC set up, well, then we have to rebuild it.", "raw_text": "Well, if we do it with Cube, where we already have that RBAC set up, well, then we have to rebuild it.", "start_time": 3029.52, "end_time": 3034.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 736, "text": "Right.", "raw_text": "Right.", "start_time": 3034.2, "end_time": 3034.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 737, "text": "So then I was like, well, that was like going that way.", "raw_text": "So then I was like, well, that was like going that way.", "start_time": 3034.52, "end_time": 3037.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 738, "text": "But it kind of just depends.", "raw_text": "But it kind of just depends.", "start_time": 3037.72, "end_time": 3039.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 739, "text": "No, yeah, for sure.", "raw_text": "No, yeah, for sure.", "start_time": 3039.2, "end_time": 3040.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 740, "text": "I definitely think there's an argument to like, forcing everything through the cube.", "raw_text": "I definitely think there's an argument to like, forcing everything through the cube.", "start_time": 3040.96, "end_time": 3046.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 741, "text": "Sphere.", "raw_text": "Sphere.", "start_time": 3046.75, "end_time": 3047.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 742, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3048.91, "end_time": 3049.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 743, "text": "Spear is a bad word to use there, but forcing everything through the Cube.", "raw_text": "Spear is a bad word to use there, but forcing everything through the Cube.", "start_time": 3049.87, "end_time": 3054.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 744, "text": "Cube.", "raw_text": "Cube.", "start_time": 3054.67, "end_time": 3055.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 745, "text": "The cube.", "raw_text": "The cube.", "start_time": 3056.91, "end_time": 3057.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 746, "text": "The semantic layer.", "raw_text": "The semantic layer.", "start_time": 3058.43, "end_time": 3059.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 747, "text": "What the hell?", "raw_text": "What the hell?", "start_time": 3062.83, "end_time": 3063.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 748, "text": "They called in the show the radio.", "raw_text": "They called in the show the radio.", "start_time": 3063.43, "end_time": 3067.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 749, "text": "The Prime Radiant.", "raw_text": "The Prime Radiant.", "start_time": 3067.79, "end_time": 3068.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 750, "text": "The Prime Radiant.", "raw_text": "The Prime Radiant.", "start_time": 3068.79, "end_time": 3069.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 751, "text": "The other thing that is.", "raw_text": "The other thing that is.", "start_time": 3070.31, "end_time": 3071.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 752, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 3074.71, "end_time": 3075.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 753, "text": "It's not a huge concern for us as a company, but it's hard to like.", "raw_text": "It's not a huge concern for us as a company, but it's hard to like.", "start_time": 3075.43, "end_time": 3084.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 754, "text": "So we have like, say some people can't access some of the Data in like, SharePoint.", "raw_text": "So we have like, say some people can't access some of the Data in like, SharePoint.", "start_time": 3084.19, "end_time": 3090.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 755, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3090.79, "end_time": 3091.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 756, "text": "For some reason, like, blocking that down from an RBAC as a published app is somewhat easy, but if we expose like more people working on the data, like, we're gonna have to have like,.", "raw_text": "For some reason, like, blocking that down from an RBAC as a published app is somewhat easy, but if we expose like more people working on the data, like, we're gonna have to have like,.", "start_time": 3091.15, "end_time": 3107.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 757, "text": "Oh, yeah, solder reading rights and yeah, like our.", "raw_text": "Oh, yeah, solder reading rights and yeah, like our.", "start_time": 3108.49, "end_time": 3110.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 758, "text": "Our env.", "raw_text": "Our env.", "start_time": 3111.13, "end_time": 3111.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 759, "text": "Local is actually going to have to be a really local.", "raw_text": "Local is actually going to have to be a really local.", "start_time": 3111.77, "end_time": 3114.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 760, "text": "That's like fake data everywhere.", "raw_text": "That's like fake data everywhere.", "start_time": 3114.05, "end_time": 3116.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 761, "text": "Like, we're gonna need like a fake SharePoint for everything.", "raw_text": "Like, we're gonna need like a fake SharePoint for everything.", "start_time": 3116.49, "end_time": 3119.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 762, "text": "That's like a SharePoint.", "raw_text": "That's like a SharePoint.", "start_time": 3119.29, "end_time": 3120.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 763, "text": "This means you have like an aneurysm from all the people.", "raw_text": "This means you have like an aneurysm from all the people.", "start_time": 3121.21, "end_time": 3123.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 764, "text": "Justin, I actually have a.", "raw_text": "Justin, I actually have a.", "start_time": 3124.81, "end_time": 3126.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 765, "text": "On that front.", "raw_text": "On that front.", "start_time": 3127.28, "end_time": 3128, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 766, "text": "Shoot.", "raw_text": "Shoot.", "start_time": 3128.64, "end_time": 3129.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 767, "text": "What's the.", "raw_text": "What's the.", "start_time": 3129.08, "end_time": 3129.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 768, "text": "There's a Versal Labs project kind of tied to that.", "raw_text": "There's a Versal Labs project kind of tied to that.", "start_time": 3130, "end_time": 3134.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 769, "text": "Let me find it.", "raw_text": "Let me find it.", "start_time": 3135.36, "end_time": 3136.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 770, "text": "Like, that's gonna be harder than.", "raw_text": "Like, that's gonna be harder than.", "start_time": 3139.92, "end_time": 3141.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 771, "text": "The RBAC is like, limiting developer access to things that they're not allowed to see.", "raw_text": "The RBAC is like, limiting developer access to things that they're not allowed to see.", "start_time": 3141.44, "end_time": 3146.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 772, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3147.12, "end_time": 3147.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 773, "text": "Heck is that thing called?", "raw_text": "Heck is that thing called?", "start_time": 3151.52, "end_time": 3152.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 774, "text": "On another note, though, should we also look at, like, MCP support at some point here for like, the foundation, inside the foundation, like, app layer?", "raw_text": "On another note, though, should we also look at, like, MCP support at some point here for like, the foundation, inside the foundation, like, app layer?", "start_time": 3159.69, "end_time": 3172.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 775, "text": "Like connecting other MCPs.", "raw_text": "Like connecting other MCPs.", "start_time": 3174.09, "end_time": 3175.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 776, "text": "Yeah,.", "raw_text": "Yeah,.", "start_time": 3176.09, "end_time": 3176.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 777, "text": "Yeah, probably.", "raw_text": "Yeah, probably.", "start_time": 3178.9, "end_time": 3179.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 778, "text": "I don't understand the difference between that and those connectors.", "raw_text": "I don't understand the difference between that and those connectors.", "start_time": 3179.7, "end_time": 3184.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 779, "text": "Really.", "raw_text": "Really.", "start_time": 3184.1, "end_time": 3184.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 780, "text": "I think they're one in the same.", "raw_text": "I think they're one in the same.", "start_time": 3184.38, "end_time": 3185.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 781, "text": "Like, which.", "raw_text": "Like, which.", "start_time": 3192.9, "end_time": 3193.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 782, "text": "What do you mean?", "raw_text": "What do you mean?", "start_time": 3193.46, "end_time": 3193.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 783, "text": "Which connectors?", "raw_text": "Which connectors?", "start_time": 3193.98, "end_time": 3194.819, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 784, "text": "Like, in the quad Realm.", "raw_text": "Like, in the quad Realm.", "start_time": 3195.78, "end_time": 3197.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 785, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 3199.7, "end_time": 3200.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 786, "text": "The linear connector is like a linear mcp.", "raw_text": "The linear connector is like a linear mcp.", "start_time": 3202.5, "end_time": 3205.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 787, "text": "Right.", "raw_text": "Right.", "start_time": 3207.15, "end_time": 3207.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 788, "text": "And the same with the Moreland one I added to it.", "raw_text": "And the same with the Moreland one I added to it.", "start_time": 3207.95, "end_time": 3210.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 789, "text": "So I don't know, like I would anticipate that when we peel the layers off of like those plugins that are in the workflow builder that those are like already mcps.", "raw_text": "So I don't know, like I would anticipate that when we peel the layers off of like those plugins that are in the workflow builder that those are like already mcps.", "start_time": 3211.87, "end_time": 3222.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 790, "text": "Really?", "raw_text": "Really?", "start_time": 3222.03, "end_time": 3222.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 791, "text": "Yeah, I think that would be kind of our integration point.", "raw_text": "Yeah, I think that would be kind of our integration point.", "start_time": 3226.43, "end_time": 3229.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 792, "text": "It's essentially like the connectors are like a managed mcp.", "raw_text": "It's essentially like the connectors are like a managed mcp.", "start_time": 3229.63, "end_time": 3232.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 793, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3234.13, "end_time": 3234.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 794, "text": "Rather than having like the user do it.", "raw_text": "Rather than having like the user do it.", "start_time": 3234.93, "end_time": 3236.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 795, "text": "Yep.", "raw_text": "Yep.", "start_time": 3238.37, "end_time": 3238.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 796, "text": "Or are you.", "raw_text": "Or are you.", "start_time": 3240.29, "end_time": 3241.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 797, "text": "Or if we just let them add their own mcp.", "raw_text": "Or if we just let them add their own mcp.", "start_time": 3241.33, "end_time": 3243.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 798, "text": "Is that what you're saying too?", "raw_text": "Is that what you're saying too?", "start_time": 3243.25, "end_time": 3244.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 799, "text": "Or.", "raw_text": "Or.", "start_time": 3244.85, "end_time": 3245.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 800, "text": "Yeah, that too.", "raw_text": "Yeah, that too.", "start_time": 3245.49, "end_time": 3246.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 801, "text": "I. I meant more.", "raw_text": "I. I meant more.", "start_time": 3246.25, "end_time": 3247.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 802, "text": "So like what we're talking about is like the connectors, like.", "raw_text": "So like what we're talking about is like the connectors, like.", "start_time": 3247.05, "end_time": 3249.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 803, "text": "Yeah, like just giving them the ability to wire up ncps.", "raw_text": "Yeah, like just giving them the ability to wire up ncps.", "start_time": 3250.21, "end_time": 3253.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 804, "text": "Because that, that kicks some of the RBAC and AUTH stuff out of our realm and into the apps hands.", "raw_text": "Because that, that kicks some of the RBAC and AUTH stuff out of our realm and into the apps hands.", "start_time": 3254.21, "end_time": 3261, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 805, "text": "Especially for like right back like, like say we had.", "raw_text": "Especially for like right back like, like say we had.", "start_time": 3262.91, "end_time": 3267.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 806, "text": "I don't know, we were creating like linear tickets.", "raw_text": "I don't know, we were creating like linear tickets.", "start_time": 3271.63, "end_time": 3273.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 807, "text": "Like we have no way to do that through our mcp.", "raw_text": "Like we have no way to do that through our mcp.", "start_time": 3274.51, "end_time": 3276.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 808, "text": "So if we like if the rest.", "raw_text": "So if we like if the rest.", "start_time": 3276.59, "end_time": 3279.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 809, "text": "If the skill was like grab all the data from mortal mcp.", "raw_text": "If the skill was like grab all the data from mortal mcp.", "start_time": 3279.15, "end_time": 3283.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 810, "text": "But when you write stuff to linear, you have to use this MCP.", "raw_text": "But when you write stuff to linear, you have to use this MCP.", "start_time": 3283.35, "end_time": 3286.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 811, "text": "That has a lot of power.", "raw_text": "That has a lot of power.", "start_time": 3290.73, "end_time": 3292.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 812, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3293.21, "end_time": 3293.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 813, "text": "Yeah, for sure.", "raw_text": "Yeah, for sure.", "start_time": 3296.09, "end_time": 3296.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 814, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3297.77, "end_time": 3298.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 815, "text": "I just sent over that one library.", "raw_text": "I just sent over that one library.", "start_time": 3298.13, "end_time": 3300.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 816, "text": "I don't know if it's exactly what you're talking about.", "raw_text": "I don't know if it's exactly what you're talking about.", "start_time": 3300.53, "end_time": 3302.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 817, "text": "It's called an emulate.", "raw_text": "It's called an emulate.", "start_time": 3303.29, "end_time": 3304.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 818, "text": "Oh, that's cool.", "raw_text": "Oh, that's cool.", "start_time": 3306.09, "end_time": 3307.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 819, "text": "So they're.", "raw_text": "So they're.", "start_time": 3308.65, "end_time": 3309.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 820, "text": "They're starting to use it for like sandbox environments.", "raw_text": "They're starting to use it for like sandbox environments.", "start_time": 3309.21, "end_time": 3312.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 821, "text": "No access as a way to.", "raw_text": "No access as a way to.", "start_time": 3312.9, "end_time": 3314.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 822, "text": "I think it's a way to like test stuff too.", "raw_text": "I think it's a way to like test stuff too.", "start_time": 3314.06, "end_time": 3315.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 823, "text": "But they're starting to add like more and more providers to it.", "raw_text": "But they're starting to add like more and more providers to it.", "start_time": 3315.86, "end_time": 3319.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 824, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3321.06, "end_time": 3321.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 825, "text": "Anyway,.", "raw_text": "Anyway,.", "start_time": 3328.98, "end_time": 3329.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 826, "text": "Every time I prep for this signet call, it gets canceled.", "raw_text": "Every time I prep for this signet call, it gets canceled.", "start_time": 3333.7, "end_time": 3336.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 827, "text": "Ray's out of office today, so now I gotta prepare.", "raw_text": "Ray's out of office today, so now I gotta prepare.", "start_time": 3336.94, "end_time": 3339.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 828, "text": "I've been trying to demo them this husky hooks for a month and a.", "raw_text": "I've been trying to demo them this husky hooks for a month and a.", "start_time": 3339.83, "end_time": 3343.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 829, "text": "Half Race Tom should be ringing off the hook within that company.", "raw_text": "Half Race Tom should be ringing off the hook within that company.", "start_time": 3343.67, "end_time": 3347.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 830, "text": "Based on this.", "raw_text": "Based on this.", "start_time": 3347.23, "end_time": 3348.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 831, "text": "Based on all these tax that went live.", "raw_text": "Based on all these tax that went live.", "start_time": 3350.99, "end_time": 3356.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 832, "text": "Seriously, these supply chain things, man.", "raw_text": "Seriously, these supply chain things, man.", "start_time": 3359.71, "end_time": 3362.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 833, "text": "I sent you something to foundation chat.", "raw_text": "I sent you something to foundation chat.", "start_time": 3362.75, "end_time": 3366.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 834, "text": "We should figure out.", "raw_text": "We should figure out.", "start_time": 3367.24, "end_time": 3368.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 835, "text": "I don't know if there's an addition to Code Rabbit.", "raw_text": "I don't know if there's an addition to Code Rabbit.", "start_time": 3368.2, "end_time": 3370.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 836, "text": "I saw the socket dev.", "raw_text": "I saw the socket dev.", "start_time": 3370.36, "end_time": 3371.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 837, "text": "Yeah, they're one company.", "raw_text": "Yeah, they're one company.", "start_time": 3372.68, "end_time": 3373.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 838, "text": "Oh.", "raw_text": "Oh.", "start_time": 3374.36, "end_time": 3374.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 839, "text": "Like if we could just put that in our pipeline to like help with supply chain analysis on our mps, our NPM packages.", "raw_text": "Like if we could just put that in our pipeline to like help with supply chain analysis on our mps, our NPM packages.", "start_time": 3374.8, "end_time": 3383, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 840, "text": "They're reminding me.", "raw_text": "They're reminding me.", "start_time": 3383.24, "end_time": 3384.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 841, "text": "I've been meaning to tell you this.", "raw_text": "I've been meaning to tell you this.", "start_time": 3384.04, "end_time": 3385.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 842, "text": "You remember that guy Hendrix?", "raw_text": "You remember that guy Hendrix?", "start_time": 3385.4, "end_time": 3386.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 843, "text": "The dude from that parv data platform that we were.", "raw_text": "The dude from that parv data platform that we were.", "start_time": 3386.92, "end_time": 3389.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 844, "text": "I was like boys with in Columbus.", "raw_text": "I was like boys with in Columbus.", "start_time": 3389.76, "end_time": 3391.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 845, "text": "Like we would Go hang out.", "raw_text": "Like we would Go hang out.", "start_time": 3391.44, "end_time": 3392.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 846, "text": "He was like the European dude.", "raw_text": "He was like the European dude.", "start_time": 3392.44, "end_time": 3395.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 847, "text": "He would like dab me up every time we saw him.", "raw_text": "He would like dab me up every time we saw him.", "start_time": 3396.45, "end_time": 3398.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 848, "text": "Like.", "raw_text": "Like.", "start_time": 3398.37, "end_time": 3398.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 849, "text": "Yeah, he works.", "raw_text": "Yeah, he works.", "start_time": 3398.57, "end_time": 3399.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 850, "text": "He's a.", "raw_text": "He's a.", "start_time": 3399.85, "end_time": 3400.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 851, "text": "He's an evangelist for Code Rabbit.", "raw_text": "He's an evangelist for Code Rabbit.", "start_time": 3400.29, "end_time": 3402.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 852, "text": "Now he's out in San Fran working for Code Rabbit and he's like pushing all their products.", "raw_text": "Now he's out in San Fran working for Code Rabbit and he's like pushing all their products.", "start_time": 3402.13, "end_time": 3406.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 853, "text": "So I got, we got a phone call to Code Rabbit if you want to know anything.", "raw_text": "So I got, we got a phone call to Code Rabbit if you want to know anything.", "start_time": 3406.29, "end_time": 3409.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 854, "text": "Yeah, I don't know.", "raw_text": "Yeah, I don't know.", "start_time": 3411.65, "end_time": 3412.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 855, "text": "I don't know what there would be, but like he would definitely hop on a call and just talk.", "raw_text": "I don't know what there would be, but like he would definitely hop on a call and just talk.", "start_time": 3412.65, "end_time": 3415.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 856, "text": "Like we just completely broke their NDA last.", "raw_text": "Like we just completely broke their NDA last.", "start_time": 3416.21, "end_time": 3419.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 857, "text": "We didn't sign NDA.", "raw_text": "We didn't sign NDA.", "start_time": 3419.49, "end_time": 3420.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 858, "text": "He just told us how everything worked.", "raw_text": "He just told us how everything worked.", "start_time": 3420.57, "end_time": 3421.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 859, "text": "So I don't know if we want to like ask anything about Code Rabbit or see if there's any deals or what we want to do, but like I feel like you were to help us out.", "raw_text": "So I don't know if we want to like ask anything about Code Rabbit or see if there's any deals or what we want to do, but like I feel like you were to help us out.", "start_time": 3423.31, "end_time": 3430.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 860, "text": "Like if we have any ask for Code Rabbit.", "raw_text": "Like if we have any ask for Code Rabbit.", "start_time": 3430.31, "end_time": 3432.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 861, "text": "I was going to call him anyway, but food for thought.", "raw_text": "I was going to call him anyway, but food for thought.", "start_time": 3433.31, "end_time": 3437.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 862, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3437.39, "end_time": 3437.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 863, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3440.67, "end_time": 3441.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 864, "text": "If I agree on that, on that like supply chain side risk, like we should at minimum at least have a way to.", "raw_text": "If I agree on that, on that like supply chain side risk, like we should at minimum at least have a way to.", "start_time": 3441.15, "end_time": 3447.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 865, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3449.8, "end_time": 3450.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 866, "text": "To like give guys tools to where they can assess it and mitigate it.", "raw_text": "To like give guys tools to where they can assess it and mitigate it.", "start_time": 3450.44, "end_time": 3454.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 867, "text": "Was it, was it you that sent over that like NPM rc, like fix as well?", "raw_text": "Was it, was it you that sent over that like NPM rc, like fix as well?", "start_time": 3455.16, "end_time": 3459.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 868, "text": "Yeah, that was such a clever.", "raw_text": "Yeah, that was such a clever.", "start_time": 3460.44, "end_time": 3461.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 869, "text": "Like just don't let anything that's newer than seven Days globally happen.", "raw_text": "Like just don't let anything that's newer than seven Days globally happen.", "start_time": 3461.92, "end_time": 3466.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 870, "text": "Yeah, that's.", "raw_text": "Yeah, that's.", "start_time": 3467.72, "end_time": 3468.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 871, "text": "That's smart.", "raw_text": "That's smart.", "start_time": 3468.6, "end_time": 3469.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 872, "text": "I was going to talk to these.", "raw_text": "I was going to talk to these.", "start_time": 3469.36, "end_time": 3470.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 873, "text": "Guys about it, but yeah, that's.", "raw_text": "Guys about it, but yeah, that's.", "start_time": 3470.32, "end_time": 3472.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 874, "text": "That.", "raw_text": "That.", "start_time": 3472.16, "end_time": 3472.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 875, "text": "That could be something we just roll out.", "raw_text": "That could be something we just roll out.", "start_time": 3472.52, "end_time": 3474.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 876, "text": "Like that needs to be stand practice.", "raw_text": "Like that needs to be stand practice.", "start_time": 3474.76, "end_time": 3477.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 877, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3477.76, "end_time": 3478.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 878, "text": "That's such a simple solution.", "raw_text": "That's such a simple solution.", "start_time": 3478.88, "end_time": 3480.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 879, "text": "What let everyone else.", "raw_text": "What let everyone else.", "start_time": 3480.32, "end_time": 3481.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 880, "text": "Yeah, that makes total sense.", "raw_text": "Yeah, that makes total sense.", "start_time": 3482.8, "end_time": 3484.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 881, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3484.8, "end_time": 3485.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 882, "text": "Do you learn to ask me if we should do like a lunch and learn again or like get lunch and learns again.", "raw_text": "Do you learn to ask me if we should do like a lunch and learn again or like get lunch and learns again.", "start_time": 3487.36, "end_time": 3492.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 883, "text": "Like if we want to talk through.", "raw_text": "Like if we want to talk through.", "start_time": 3492.68, "end_time": 3493.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 884, "text": "Do we want to do.", "raw_text": "Do we want to do.", "start_time": 3493.8, "end_time": 3494.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 885, "text": "I mean we need to do one tomorrow or like we could do one like when I get back or are you doing without me?", "raw_text": "I mean we need to do one tomorrow or like we could do one like when I get back or are you doing without me?", "start_time": 3494.6, "end_time": 3500.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 886, "text": "But like might be worth doing a launch and learn.", "raw_text": "But like might be worth doing a launch and learn.", "start_time": 3500.2, "end_time": 3502.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 887, "text": "We could talk through maybe like useful things from the cloud code training or we could run through like lesson learned from Infosec or just like stuff like this.", "raw_text": "We could talk through maybe like useful things from the cloud code training or we could run through like lesson learned from Infosec or just like stuff like this.", "start_time": 3502.01, "end_time": 3509.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 888, "text": "Like is that something of interest to you guys?", "raw_text": "Like is that something of interest to you guys?", "start_time": 3509.41, "end_time": 3512.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 889, "text": "Think so.", "raw_text": "Think so.", "start_time": 3512.65, "end_time": 3513.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 890, "text": "I can handle organization to have those as like a monthly open like an open forum and like monthly to where people like if you did some cool workflow with AI or some cool new setting or shit, like you can just.", "raw_text": "I can handle organization to have those as like a monthly open like an open forum and like monthly to where people like if you did some cool workflow with AI or some cool new setting or shit, like you can just.", "start_time": 3514.33, "end_time": 3527.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 891, "text": "We could all eat lunch in the conference room or out at the TVs and you can just pull it up on the TV and show people like I think that'd be worthwhile.", "raw_text": "We could all eat lunch in the conference room or out at the TVs and you can just pull it up on the TV and show people like I think that'd be worthwhile.", "start_time": 3527.96, "end_time": 3534.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 892, "text": "Yeah, I agree.", "raw_text": "Yeah, I agree.", "start_time": 3535.24, "end_time": 3537.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 893, "text": "Also siloed into our little tools and workflows.", "raw_text": "Also siloed into our little tools and workflows.", "start_time": 3537.08, "end_time": 3539.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 894, "text": "And all this stuff is moving so damn fast.", "raw_text": "And all this stuff is moving so damn fast.", "start_time": 3539.92, "end_time": 3543.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 895, "text": "Yep.", "raw_text": "Yep.", "start_time": 3546.76, "end_time": 3547.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 896, "text": "Cool.", "raw_text": "Cool.", "start_time": 3551.24, "end_time": 3551.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 897, "text": "Well, thanks for staying on long.", "raw_text": "Well, thanks for staying on long.", "start_time": 3552.28, "end_time": 3554.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 898, "text": "That was a good, good call.", "raw_text": "That was a good, good call.", "start_time": 3554.69, "end_time": 3556.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 899, "text": "Do you record this one?", "raw_text": "Do you record this one?", "start_time": 3556.01, "end_time": 3557.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 900, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3557.25, "end_time": 3557.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 901, "text": "Fireflies is here, so we gotta.", "raw_text": "Fireflies is here, so we gotta.", "start_time": 3557.53, "end_time": 3559.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 902, "text": "Yeah, those notes will be good.", "raw_text": "Yeah, those notes will be good.", "start_time": 3559.65, "end_time": 3561.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 903, "text": "Take care of that and Marky.", "raw_text": "Take care of that and Marky.", "start_time": 3561.33, "end_time": 3564.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 904, "text": "I will.", "raw_text": "I will.", "start_time": 3565.81, "end_time": 3566.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 905, "text": "I appreciate it.", "raw_text": "I appreciate it.", "start_time": 3566.33, "end_time": 3567.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 906, "text": "I think we're moving.", "raw_text": "I think we're moving.", "start_time": 3567.17, "end_time": 3568.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 907, "text": "Good.", "raw_text": "Good.", "start_time": 3568.13, "end_time": 3568.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 908, "text": "We moved the board thing, I think, right?", "raw_text": "We moved the board thing, I think, right?", "start_time": 3569.169, "end_time": 3570.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 909, "text": "Yeah, I think.", "raw_text": "Yeah, I think.", "start_time": 3571.57, "end_time": 3572.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 910, "text": "I think John moved that, so that.", "raw_text": "I think John moved that, so that.", "start_time": 3572.61, "end_time": 3574.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 911, "text": "I think that helps for sure.", "raw_text": "I think that helps for sure.", "start_time": 3574.09, "end_time": 3575.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 912, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3575.89, "end_time": 3576.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 913, "text": "Cool.", "raw_text": "Cool.", "start_time": 3576.53, "end_time": 3577.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 914, "text": "Well, hope everyone's gets better.", "raw_text": "Well, hope everyone's gets better.", "start_time": 3577.41, "end_time": 3580.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 915, "text": "Healed up.", "raw_text": "Healed up.", "start_time": 3580.05, "end_time": 3580.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 916, "text": "I hope everyone gets healthy on your side, too.", "raw_text": "I hope everyone gets healthy on your side, too.", "start_time": 3581.41, "end_time": 3583.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 917, "text": "Jacker.", "raw_text": "Jacker.", "start_time": 3583.25, "end_time": 3585.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 918, "text": "Got me a cold.", "raw_text": "Got me a cold.", "start_time": 3585.69, "end_time": 3586.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 919, "text": "Little cold.", "raw_text": "Little cold.", "start_time": 3586.37, "end_time": 3587.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 920, "text": "You got me.", "raw_text": "You got me.", "start_time": 3588.29, "end_time": 3588.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 921, "text": "He's got my nose stuff, you know?", "raw_text": "He's got my nose stuff, you know?", "start_time": 3588.93, "end_time": 3590.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 922, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3590.49, "end_time": 3590.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 923, "text": "Reed's been ready, like, going through it.", "raw_text": "Reed's been ready, like, going through it.", "start_time": 3590.81, "end_time": 3593.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 924, "text": "I think I got the same.", "raw_text": "I think I got the same.", "start_time": 3593.41, "end_time": 3594.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 925, "text": "Same thing from that, so it's all good.", "raw_text": "Same thing from that, so it's all good.", "start_time": 3594.77, "end_time": 3597.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 926, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3597.65, "end_time": 3598.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 927, "text": "All right.", "raw_text": "All right.", "start_time": 3600.53, "end_time": 3600.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 928, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 3600.93, "end_time": 3601.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 929, "text": "Yep.", "raw_text": "Yep.", "start_time": 3602.93, "end_time": 3603.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 930, "text": "See you later.", "raw_text": "See you later.", "start_time": 3603.45, "end_time": 3604.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 931, "text": "Look at those tight jeans.", "raw_text": "Look at those tight jeans.", "start_time": 3604.45, "end_time": 3605.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 932, "text": "Oh, man.", "raw_text": "Oh, man.", "start_time": 3606.96, "end_time": 3607.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}]
participant_count
5
participants
[{"email": "caden.kacmarynski@morelandconnect.com", "name": null}, {"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "nick.buzzy@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KRVDNW8V24TY7RZ8ZENNF74D | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KRVDNW8V24TY7RZ8ZENNF74D
title
Foundation Stand up
date
2026-05-19 15:00:00+00:00
duration_minutes
32
duration
32
transcript_url
https://app.fireflies.ai/view/01KRVDNW8V24TY7RZ8ZENNF74D
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_N2RjNGFmMmUtMTY4NC00Y2NiLWIyYzctYzA4ODZkNTkzMDEx@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The meeting underscored the success of recent networking efforts at a conference, where valuable connections were made, especially in healthcare AI and private equity sectors. Specific partnership potentials with Julie from RVP Majors were identified, such as AI phone call triage integrated with Epic. Challenges regarding conference organization were noted, but positive networking outcomes were achieved through one-on-one meetings. A strategy to enhance lead conversion through tailored workshops by industry verticals was discussed, alongside a shift in product messaging to focus on AI-native services rather than a foundation-centric approach. Marketing efforts are aimed at developing a comprehensive repository and a public domain to showcase positive client feedback. Additionally, internal training needs were highlighted to improve team capabilities alongside effective resource management strategies.
action_items
"\\n**Caden Kacmarynski**\\nMeet with Julie on Wednesday to analyze the fax document integration use case and gather detailed requirements (06:40)\\nCollaborate with Christopher to enhance workshop lead conversion through targeted questions and follow-up strategies (09:50)\\nWork on capturing vertical-specific demos and scripts, potentially using a SharePoint or repository to organize materials for workshops and sales (11:40)\\nProvide Justin with a comprehensive list of current projects and priorities for review and next-day one-on-one prioritization (19:45)\\nPrepare and lead internal kickoff study session for the Anthropic certification exam to expedite team readiness (24:10)\\nInvestigate and develop the idea for a domain or subdomain to host customer reviews and case studies for marketing and SEO purposes (26:10)\\n\\n**Justin**\\nContinue developing marketing assets and website content to support workshops and product tiers (13:45)\\nAssist with design-related tasks and help manage project distribution (20:10)\\nAttend the upcoming Orzen meeting prepared to take notes without additional preparation (22:20)\\nGuide the team on setting up Anthropic exam registration, access, and practice for certification (22:50)\\n\\n**Christopher**\\nWork with Caden on improving understanding of product details, risk logistics domain, sales conversion, and workshop delivery (09:40)\\nBegin recording and documenting demo scenarios for targeted verticals, especially retail (11:40)\\n"
transcript_text
[{"index": 0, "text": "Hey, justin.", "raw_text": "Hey, justin.", "start_time": 7.44, "end_time": 8.16, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 1, "text": "What's up, Justin?", "raw_text": "What's up, Justin?", "start_time": 223.12, "end_time": 224, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 2, "text": "Hey, how are you, sir?", "raw_text": "Hey, how are you, sir?", "start_time": 224.4, "end_time": 227.12, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 3, "text": "Good.", "raw_text": "Good.", "start_time": 227.52, "end_time": 227.92, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 4, "text": "Thought you canceled this one, but.", "raw_text": "Thought you canceled this one, but.", "start_time": 228.08, "end_time": 230.17, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 5, "text": "No, I canceled the Thursday one.", "raw_text": "No, I canceled the Thursday one.", "start_time": 230.17, "end_time": 231.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 6, "text": "I'm good for this one.", "raw_text": "I'm good for this one.", "start_time": 231.77, "end_time": 232.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "Gotcha.", "raw_text": "Gotcha.", "start_time": 233.29, "end_time": 234.01, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 8, "text": "Heard your panel got messed up.", "raw_text": "Heard your panel got messed up.", "start_time": 235.85, "end_time": 238.73, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 9, "text": "Yeah, I know.", "raw_text": "Yeah, I know.", "start_time": 239.13, "end_time": 239.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 10, "text": "That was kind of ridiculous.", "raw_text": "That was kind of ridiculous.", "start_time": 239.73, "end_time": 240.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 11, "text": "Those.", "raw_text": "Those.", "start_time": 240.81, "end_time": 241.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 12, "text": "They're such bush league conference people.", "raw_text": "They're such bush league conference people.", "start_time": 241.09, "end_time": 243.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 13, "text": "Oh, I guess.", "raw_text": "Oh, I guess.", "start_time": 243.53, "end_time": 244.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 14, "text": "Was it something that we dropped the ball on or they just screwed up?", "raw_text": "Was it something that we dropped the ball on or they just screwed up?", "start_time": 245.53, "end_time": 249.93, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 15, "text": "No, they kind of screwed us.", "raw_text": "No, they kind of screwed us.", "start_time": 250.17, "end_time": 251.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 16, "text": "It wasn't even like.", "raw_text": "It wasn't even like.", "start_time": 251.41, "end_time": 252.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 17, "text": "I mean, Christopher could have gotten ahead of it a little bit, but honestly, it's not his fault.", "raw_text": "I mean, Christopher could have gotten ahead of it a little bit, but honestly, it's not his fault.", "start_time": 252.37, "end_time": 256.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 18, "text": "The two of the people Christopher knew, that Edmond Jackson guy, he always talks about the doctor who we.", "raw_text": "The two of the people Christopher knew, that Edmond Jackson guy, he always talks about the doctor who we.", "start_time": 256.05, "end_time": 260.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 19, "text": "We actually, he just skipped his two because he said they're.", "raw_text": "We actually, he just skipped his two because he said they're.", "start_time": 260.73, "end_time": 263.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 20, "text": "They're clowns.", "raw_text": "They're clowns.", "start_time": 263.87, "end_time": 264.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 21, "text": "So, like, a bunch of people thought these people suck.", "raw_text": "So, like, a bunch of people thought these people suck.", "start_time": 264.83, "end_time": 266.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 22, "text": "Yeah, the lady's not good.", "raw_text": "Yeah, the lady's not good.", "start_time": 266.99, "end_time": 268.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 23, "text": "Like, I met her and she was just like, I also organized events, bigger events than this, and she's like, yeah, I'm sorry.", "raw_text": "Like, I met her and she was just like, I also organized events, bigger events than this, and she's like, yeah, I'm sorry.", "start_time": 268.27, "end_time": 275.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "I had 700 unread emails.", "raw_text": "I had 700 unread emails.", "start_time": 275.47, "end_time": 277.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 25, "text": "I just couldn't get to it.", "raw_text": "I just couldn't get to it.", "start_time": 277.19, "end_time": 278.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "Like, man, that's the worst example.", "raw_text": "Like, man, that's the worst example.", "start_time": 278.19, "end_time": 280.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 27, "text": "Like, I was like, I hate this lady.", "raw_text": "Like, I was like, I hate this lady.", "start_time": 280.19, "end_time": 281.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 28, "text": "Like, oh, yeah, they sucked.", "raw_text": "Like, oh, yeah, they sucked.", "start_time": 281.55, "end_time": 285.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 29, "text": "But some of the meetings were good.", "raw_text": "But some of the meetings were good.", "start_time": 285.15, "end_time": 286.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 30, "text": "I thought.", "raw_text": "I thought.", "start_time": 286.87, "end_time": 287.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 31, "text": "We had a few good meetings.", "raw_text": "We had a few good meetings.", "start_time": 287.19, "end_time": 288.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 32, "text": "There's this, like, steward guy who.", "raw_text": "There's this, like, steward guy who.", "start_time": 288.43, "end_time": 290.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 33, "text": "They're running some AI startup.", "raw_text": "They're running some AI startup.", "start_time": 290.98, "end_time": 292.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 34, "text": "And he.", "raw_text": "And he.", "start_time": 292.74, "end_time": 293.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 35, "text": "He was like.", "raw_text": "He was like.", "start_time": 293.18, "end_time": 293.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 36, "text": "He did some finance stuff previously.", "raw_text": "He did some finance stuff previously.", "start_time": 293.94, "end_time": 296.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 37, "text": "Made him sound like an investor, but he's trying to run his own thing.", "raw_text": "Made him sound like an investor, but he's trying to run his own thing.", "start_time": 296.18, "end_time": 298.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 38, "text": "And they're doing, like, data integration for hospitals, trying to get their, like, posted compliance for, like, prices.", "raw_text": "And they're doing, like, data integration for hospitals, trying to get their, like, posted compliance for, like, prices.", "start_time": 299.06, "end_time": 305.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 39, "text": "He was interesting.", "raw_text": "He was interesting.", "start_time": 306.18, "end_time": 307.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 40, "text": "He wasn't the technical partner, but he seemed helpful.", "raw_text": "He wasn't the technical partner, but he seemed helpful.", "start_time": 307.54, "end_time": 310.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 41, "text": "And then this Mickey guy, or Tiny, he's the guy running that Southern.", "raw_text": "And then this Mickey guy, or Tiny, he's the guy running that Southern.", "start_time": 310.66, "end_time": 315.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 42, "text": "Southern Tier Wine Trail or Bourbon Trail.", "raw_text": "Southern Tier Wine Trail or Bourbon Trail.", "start_time": 315.54, "end_time": 318.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 43, "text": "I like that guy.", "raw_text": "I like that guy.", "start_time": 319.3, "end_time": 320.18, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 44, "text": "That guy's awesome.", "raw_text": "That guy's awesome.", "start_time": 320.58, "end_time": 321.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 45, "text": "I met him at.", "raw_text": "I met him at.", "start_time": 321.94, "end_time": 322.9, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 46, "text": "@6Thing, Six Sigma cult.", "raw_text": "@6Thing, Six Sigma cult.", "start_time": 324.5, "end_time": 326.82, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 47, "text": "Yeah, the networking lunch I missed.", "raw_text": "Yeah, the networking lunch I missed.", "start_time": 327.46, "end_time": 329.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 48, "text": "He was awesome.", "raw_text": "He was awesome.", "start_time": 329.86, "end_time": 330.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 49, "text": "And he seems to know a lot of people, so I feel like it's good to be in his network.", "raw_text": "And he seems to know a lot of people, so I feel like it's good to be in his network.", "start_time": 330.9, "end_time": 334.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 50, "text": "But then we had a really good.", "raw_text": "But then we had a really good.", "start_time": 335.78, "end_time": 337.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 51, "text": "Well, we had another good meeting, I think, but the best one was probably with this Julie.", "raw_text": "Well, we had another good meeting, I think, but the best one was probably with this Julie.", "start_time": 337.7, "end_time": 342.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 52, "text": "I forget her last name, but Julie.", "raw_text": "I forget her last name, but Julie.", "start_time": 342.98, "end_time": 344.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 53, "text": "It's this woman Christopher somehow got us connected to, and she works at.", "raw_text": "It's this woman Christopher somehow got us connected to, and she works at.", "start_time": 344.78, "end_time": 350.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 54, "text": "What is her company called?", "raw_text": "What is her company called?", "start_time": 350.36, "end_time": 351.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 55, "text": "They do this, like, AI phone calling things.", "raw_text": "They do this, like, AI phone calling things.", "start_time": 351.44, "end_time": 353.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 56, "text": "They do.", "raw_text": "They do.", "start_time": 353.76, "end_time": 354.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 57, "text": "Like, they're like the number one used epic integration.", "raw_text": "Like, they're like the number one used epic integration.", "start_time": 354.2, "end_time": 358.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 58, "text": "Her company is called RVP Majors or Hiro.", "raw_text": "Her company is called RVP Majors or Hiro.", "start_time": 358.76, "end_time": 365, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 59, "text": "I'm confused because of where they got called, but they're a call center transformation.", "raw_text": "I'm confused because of where they got called, but they're a call center transformation.", "start_time": 365, "end_time": 368.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "What they do is they answer the phone call when you call the doctor with AI and they have like a vapi like thing they designed and.", "raw_text": "What they do is they answer the phone call when you call the doctor with AI and they have like a vapi like thing they designed and.", "start_time": 369.08, "end_time": 375.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 61, "text": "And it helps like triage doctor call things.", "raw_text": "And it helps like triage doctor call things.", "start_time": 375.22, "end_time": 377.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 62, "text": "And they're having really good success with it and they integrate well with Epic.", "raw_text": "And they're having really good success with it and they integrate well with Epic.", "start_time": 377.7, "end_time": 381.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 63, "text": "And she was at Salesforce for a while.", "raw_text": "And she was at Salesforce for a while.", "start_time": 381.14, "end_time": 383.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 64, "text": "She seems pretty sweet, but she was like, the southern hospitality is real.", "raw_text": "She seems pretty sweet, but she was like, the southern hospitality is real.", "start_time": 383.42, "end_time": 387.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 65, "text": "Like, everyone kind of BS's with you for like 30 minutes.", "raw_text": "Like, everyone kind of BS's with you for like 30 minutes.", "start_time": 387.86, "end_time": 389.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 66, "text": "And then they're like, what, what do you need?", "raw_text": "And then they're like, what, what do you need?", "start_time": 389.9, "end_time": 391.259, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 67, "text": "How can we help you?", "raw_text": "How can we help you?", "start_time": 391.259, "end_time": 391.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 68, "text": "Here's all my best advice of life.", "raw_text": "Here's all my best advice of life.", "start_time": 391.94, "end_time": 393.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 69, "text": "And so it gives kind of one of those.", "raw_text": "And so it gives kind of one of those.", "start_time": 393.7, "end_time": 395.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 70, "text": "And she told us specifically about two use cases that would like really help us break through.", "raw_text": "And she told us specifically about two use cases that would like really help us break through.", "start_time": 395.7, "end_time": 400.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 71, "text": "And me and Christopher actually have a meeting with her on Wednesday to go over One she said was they're struggling with facts, like getting facts online and uploaded and then actually like scaffolded out in their ehr.", "raw_text": "And me and Christopher actually have a meeting with her on Wednesday to go over One she said was they're struggling with facts, like getting facts online and uploaded and then actually like scaffolded out in their ehr.", "start_time": 401.5, "end_time": 415.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 72, "text": "So she's like, if you could get fax.", "raw_text": "So she's like, if you could get fax.", "start_time": 415.18, "end_time": 416.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 73, "text": "Oh, fax?", "raw_text": "Oh, fax?", "start_time": 416.94, "end_time": 417.739, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 74, "text": "Yeah, like faxes.", "raw_text": "Yeah, like faxes.", "start_time": 418.78, "end_time": 420.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 75, "text": "Like, I was like, I thought you meant facts.", "raw_text": "Like, I was like, I thought you meant facts.", "start_time": 420.02, "end_time": 423.1, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 76, "text": "F, A, C, T S. No, I.", "raw_text": "F, A, C, T S. No, I.", "start_time": 423.1, "end_time": 425.1, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 77, "text": "Mean, I guess both, but yeah, no, like fax documents, like fax.", "raw_text": "Mean, I guess both, but yeah, no, like fax documents, like fax.", "start_time": 425.1, "end_time": 428.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 78, "text": "She's like, we're trying to get those into like systems.", "raw_text": "She's like, we're trying to get those into like systems.", "start_time": 428.3, "end_time": 431.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 79, "text": "It's all.", "raw_text": "It's all.", "start_time": 431.26, "end_time": 431.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 80, "text": "I'm like, we could probably do something like that, but like, let's look through it.", "raw_text": "I'm like, we could probably do something like that, but like, let's look through it.", "start_time": 431.66, "end_time": 434.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 81, "text": "So she wants to show us like internally what they're doing.", "raw_text": "So she wants to show us like internally what they're doing.", "start_time": 434.86, "end_time": 437.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 82, "text": "And she's like, if you could solve this and like integrate it in Epic, like, we'll sell it for you.", "raw_text": "And she's like, if you could solve this and like integrate it in Epic, like, we'll sell it for you.", "start_time": 437.14, "end_time": 441.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 83, "text": "So it's like, okay, that's interesting.", "raw_text": "So it's like, okay, that's interesting.", "start_time": 441.22, "end_time": 442.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 84, "text": "So she, I mean, that easy.", "raw_text": "So she, I mean, that easy.", "start_time": 443.06, "end_time": 444.82, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 85, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 445.06, "end_time": 445.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 86, "text": "So she's like, I want to get like, maybe you hop on this call,.", "raw_text": "So she's like, I want to get like, maybe you hop on this call,.", "start_time": 445.42, "end_time": 448.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 87, "text": "Have a little app and take a picture of the incoming facts.", "raw_text": "Have a little app and take a picture of the incoming facts.", "start_time": 448.9, "end_time": 452.82, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 88, "text": "And then.", "raw_text": "And then.", "start_time": 452.82, "end_time": 453.38, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 89, "text": "Or do they.", "raw_text": "Or do they.", "start_time": 454.74, "end_time": 455.42, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 90, "text": "Don't they want to like automatically without someone taking a picture of it?", "raw_text": "Don't they want to like automatically without someone taking a picture of it?", "start_time": 455.42, "end_time": 459.06, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 91, "text": "I'm not sure.", "raw_text": "I'm not sure.", "start_time": 459.71, "end_time": 460.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 92, "text": "That's kind of where I'm gonna like talk to her on Wednesday and gather information.", "raw_text": "That's kind of where I'm gonna like talk to her on Wednesday and gather information.", "start_time": 460.31, "end_time": 462.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 93, "text": "But yeah, I really wanted to.", "raw_text": "But yeah, I really wanted to.", "start_time": 463.39, "end_time": 464.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 94, "text": "Actually me and Paul and Christopher were having a good conversation.", "raw_text": "Actually me and Paul and Christopher were having a good conversation.", "start_time": 464.55, "end_time": 467.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 95, "text": "I just want to run by you, which kind of.", "raw_text": "I just want to run by you, which kind of.", "start_time": 467.43, "end_time": 469.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 96, "text": "Yeah, we should.", "raw_text": "Yeah, we should.", "start_time": 469.83, "end_time": 470.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "We can have a one on one and like debrief it more.", "raw_text": "We can have a one on one and like debrief it more.", "start_time": 470.27, "end_time": 473.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 98, "text": "But she also said she's got this visit type so that they get calls and there's like a bunch of decision trees.", "raw_text": "But she also said she's got this visit type so that they get calls and there's like a bunch of decision trees.", "start_time": 473.03, "end_time": 481.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 99, "text": "She said some of the hospitals they have 16,000 decision trees.", "raw_text": "She said some of the hospitals they have 16,000 decision trees.", "start_time": 481.39, "end_time": 485.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 100, "text": "And these decision trees are used for like when they set up the calling system, they have to figure out like, you know, do you have cough or how old are you?", "raw_text": "And these decision trees are used for like when they set up the calling system, they have to figure out like, you know, do you have cough or how old are you?", "start_time": 486.19, "end_time": 493.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 101, "text": "What, what are your symptoms, things like that.", "raw_text": "What, what are your symptoms, things like that.", "start_time": 493.87, "end_time": 495.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 102, "text": "And essentially it's just.", "raw_text": "And essentially it's just.", "start_time": 496.27, "end_time": 498.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 103, "text": "It's a bunch of garbage.", "raw_text": "It's a bunch of garbage.", "start_time": 498.27, "end_time": 499.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 104, "text": "And like a lot of them could be condensed and so when they actually go to use this Julie's healthcare system they have to like manually consolidate all these workflows and it's like a nightmare.", "raw_text": "And like a lot of them could be condensed and so when they actually go to use this Julie's healthcare system they have to like manually consolidate all these workflows and it's like a nightmare.", "start_time": 499.63, "end_time": 510.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 105, "text": "And we could probably run some AI optimization to help just cut a bunch of those down actually I knew it's called the Leviathan algorithm for like creating communities.", "raw_text": "And we could probably run some AI optimization to help just cut a bunch of those down actually I knew it's called the Leviathan algorithm for like creating communities.", "start_time": 510.51, "end_time": 518.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 106, "text": "It's what I did for the knowledge graph creation of my grad research.", "raw_text": "It's what I did for the knowledge graph creation of my grad research.", "start_time": 518.98, "end_time": 522.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 107, "text": "I know for a fact there's algorithms I could do that.", "raw_text": "I know for a fact there's algorithms I could do that.", "start_time": 522.42, "end_time": 524.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 108, "text": "Just it's like classic machine learning.", "raw_text": "Just it's like classic machine learning.", "start_time": 524.46, "end_time": 526.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 109, "text": "Not don't even need an LLM.", "raw_text": "Not don't even need an LLM.", "start_time": 526.06, "end_time": 527.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 110, "text": "But she said those two use cases are expensive problems for them and she'd be willing to pay for them or like get us to somewhere that we could pay for them.", "raw_text": "But she said those two use cases are expensive problems for them and she'd be willing to pay for them or like get us to somewhere that we could pay for them.", "start_time": 527.7, "end_time": 534.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 111, "text": "So she gave, she also gave us some other leads and her and the steward guy told us about a couple of private equity places we could go try to like sell into like I, I really like the private equity play for us.", "raw_text": "So she gave, she also gave us some other leads and her and the steward guy told us about a couple of private equity places we could go try to like sell into like I, I really like the private equity play for us.", "start_time": 535.22, "end_time": 548.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 112, "text": "So that's interesting as well.", "raw_text": "So that's interesting as well.", "start_time": 548.67, "end_time": 550.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 113, "text": "So she gave us some names.", "raw_text": "So she gave us some names.", "start_time": 550.83, "end_time": 552.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 114, "text": "I think Christopher was working on tracking him down but like that's the other thing is I don't think he.", "raw_text": "I think Christopher was working on tracking him down but like that's the other thing is I don't think he.", "start_time": 552.19, "end_time": 558.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 115, "text": "Well I'll say it anyways.", "raw_text": "Well I'll say it anyways.", "start_time": 558.63, "end_time": 559.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "Christopher needs help with like standardizing what he's taught.", "raw_text": "Christopher needs help with like standardizing what he's taught.", "start_time": 559.39, "end_time": 563.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 117, "text": "Like he still doesn't understand what we do with risk ld and I told him like okay, I'm going to like sit down and I'll explain it to you and and then you need to get quizzed by the garage like yeah, these needs to be able to say like HL7 to fire or just like you know, this is what we were doing and like if he can just do that it would help him a lot.", "raw_text": "Like he still doesn't understand what we do with risk ld and I told him like okay, I'm going to like sit down and I'll explain it to you and and then you need to get quizzed by the garage like yeah, these needs to be able to say like HL7 to fire or just like you know, this is what we were doing and like if he can just do that it would help him a lot.", "start_time": 563.43, "end_time": 579.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 118, "text": "So I was working through with like those things but would be nice is if I could give them really good with these workshops and I can like I.", "raw_text": "So I was working through with like those things but would be nice is if I could give them really good with these workshops and I can like I.", "start_time": 579.94, "end_time": 587.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 119, "text": "We can see some of the people are so interested in these workshops but like what do they lead to?", "raw_text": "We can see some of the people are so interested in these workshops but like what do they lead to?", "start_time": 587.06, "end_time": 591.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 120, "text": "There's not like a good call to action.", "raw_text": "There's not like a good call to action.", "start_time": 592.02, "end_time": 593.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 121, "text": "So I was telling them we need to have like you need to like you're not just going to the workshop to just give out advice.", "raw_text": "So I was telling them we need to have like you need to like you're not just going to the workshop to just give out advice.", "start_time": 593.86, "end_time": 599.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "Like you need to ask them stuff back.", "raw_text": "Like you need to ask them stuff back.", "start_time": 599.64, "end_time": 601.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "So I'm working with Christopher on like targeted questions to get leads after his workshops and then having more private follow ups where like I would come in or you would come in and we actually start talking about their data so we could get to a quarter design Sprint.", "raw_text": "So I'm working with Christopher on like targeted questions to get leads after his workshops and then having more private follow ups where like I would come in or you would come in and we actually start talking about their data so we could get to a quarter design Sprint.", "start_time": 601.44, "end_time": 614.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 124, "text": "And so I'm working with and I think if I spend time me and Paul talked about it and Paul doesn't have the cycles.", "raw_text": "And so I'm working with and I think if I spend time me and Paul talked about it and Paul doesn't have the cycles.", "start_time": 614.6, "end_time": 620.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 125, "text": "But I feel like if I took some time with Christopher, we could really convert on some of the things he's doing, like, drastically better.", "raw_text": "But I feel like if I took some time with Christopher, we could really convert on some of the things he's doing, like, drastically better.", "start_time": 620.44, "end_time": 625.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 126, "text": "But I don't know where that ranks on the decision tree.", "raw_text": "But I don't know where that ranks on the decision tree.", "start_time": 626.43, "end_time": 628.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 127, "text": "But we talked about that a lot in Nashville, too.", "raw_text": "But we talked about that a lot in Nashville, too.", "start_time": 628.71, "end_time": 630.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 128, "text": "And I got.", "raw_text": "And I got.", "start_time": 630.75, "end_time": 631.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 129, "text": "Me and him talked about a little bit yesterday.", "raw_text": "Me and him talked about a little bit yesterday.", "start_time": 631.35, "end_time": 632.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 130, "text": "And I have to make a marketing harness or a harness on that or I have a repo.", "raw_text": "And I have to make a marketing harness or a harness on that or I have a repo.", "start_time": 633.07, "end_time": 637.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 131, "text": "I'm working through that as well.", "raw_text": "I'm working through that as well.", "start_time": 637.43, "end_time": 638.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 132, "text": "But would it be different than our marketing harness at all?", "raw_text": "But would it be different than our marketing harness at all?", "start_time": 638.99, "end_time": 643.39, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 133, "text": "I'm debating if I use it the same or if I just have, like, a subsection in it for, like, a project, because it's like, I could just do a cloud project on, like, Christopher has all these workshops, and then I just need a working section to, like, just go through.", "raw_text": "I'm debating if I use it the same or if I just have, like, a subsection in it for, like, a project, because it's like, I could just do a cloud project on, like, Christopher has all these workshops, and then I just need a working section to, like, just go through.", "start_time": 644.11, "end_time": 656.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 134, "text": "Like, I think it's pretty close.", "raw_text": "Like, I think it's pretty close.", "start_time": 656.85, "end_time": 658.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 135, "text": "Like, right now he kind of just goes, like, from the beginning to the end of his workshop.", "raw_text": "Like, right now he kind of just goes, like, from the beginning to the end of his workshop.", "start_time": 658.41, "end_time": 663.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 136, "text": "But it needs to be like I was telling him, basically, you need to have, like, three different types of workshops.", "raw_text": "But it needs to be like I was telling him, basically, you need to have, like, three different types of workshops.", "start_time": 663.25, "end_time": 668.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 137, "text": "One's more technical, one's no technical, just, like, show.", "raw_text": "One's more technical, one's no technical, just, like, show.", "start_time": 668.37, "end_time": 671.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 138, "text": "And then the other one's, like, asking them about their vertical.", "raw_text": "And then the other one's, like, asking them about their vertical.", "start_time": 671.61, "end_time": 673.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 139, "text": "And then you got to have, like, five flavors for each vertical.", "raw_text": "And then you got to have, like, five flavors for each vertical.", "start_time": 674.13, "end_time": 676.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 140, "text": "And then like, like, you can't go to a retailer and show them, like, insurance demos.", "raw_text": "And then like, like, you can't go to a retailer and show them, like, insurance demos.", "start_time": 676.77, "end_time": 682.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 141, "text": "Like, go to the retailer and do retailer demos.", "raw_text": "Like, go to the retailer and do retailer demos.", "start_time": 682.15, "end_time": 684.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 142, "text": "Go to the healthcare person, do healthcare demos.", "raw_text": "Go to the healthcare person, do healthcare demos.", "start_time": 684.07, "end_time": 686.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 143, "text": "Because he's just like, he was showing Hinckley some, like, thing about the US Mint that he 5 code over the weekend.", "raw_text": "Because he's just like, he was showing Hinckley some, like, thing about the US Mint that he 5 code over the weekend.", "start_time": 686.11, "end_time": 692.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 144, "text": "I'm like, can you just do something in retail?", "raw_text": "I'm like, can you just do something in retail?", "start_time": 692.83, "end_time": 694.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "And so we were talking through, like, the more specific examples and, like, he has a bunch of good ones.", "raw_text": "And so we were talking through, like, the more specific examples and, like, he has a bunch of good ones.", "start_time": 695.35, "end_time": 700.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 146, "text": "So then I was asking him to, like, cursiful, record them all.", "raw_text": "So then I was asking him to, like, cursiful, record them all.", "start_time": 700.15, "end_time": 703.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 147, "text": "And then, like, I'll get a spot to, like, pull them into a script.", "raw_text": "And then, like, I'll get a spot to, like, pull them into a script.", "start_time": 703.19, "end_time": 706.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 148, "text": "And I'm like, maybe we end up with, like, a SharePoint drive.", "raw_text": "And I'm like, maybe we end up with, like, a SharePoint drive.", "start_time": 706.55, "end_time": 709.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 149, "text": "But what I would like to have is, like, here's the vertical Morelands in health care, insurance, manufacturing, retail.", "raw_text": "But what I would like to have is, like, here's the vertical Morelands in health care, insurance, manufacturing, retail.", "start_time": 709.47, "end_time": 716.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "Here's a couple of demos from the team, whether it's me or Christopher.", "raw_text": "Here's a couple of demos from the team, whether it's me or Christopher.", "start_time": 716.71, "end_time": 719.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 151, "text": "Here's a slide deck you can use if you need to give a workshop on it.", "raw_text": "Here's a slide deck you can use if you need to give a workshop on it.", "start_time": 719.67, "end_time": 722.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 152, "text": "And then here's case studies and terms of, like, projects we've done before.", "raw_text": "And then here's case studies and terms of, like, projects we've done before.", "start_time": 722.67, "end_time": 726.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 153, "text": "And I'm trying to figure out.", "raw_text": "And I'm trying to figure out.", "start_time": 726.71, "end_time": 727.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 154, "text": "I don't think we have, like, a workload foundation that would set that up yet.", "raw_text": "I don't think we have, like, a workload foundation that would set that up yet.", "start_time": 728.31, "end_time": 730.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 155, "text": "Some of that's going to be manual, but I'm trying to just collect those.", "raw_text": "Some of that's going to be manual, but I'm trying to just collect those.", "start_time": 730.95, "end_time": 733.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 156, "text": "The marketing harness.", "raw_text": "The marketing harness.", "start_time": 733.39, "end_time": 734.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 157, "text": "Or maybe we have, like, a case study Spot.", "raw_text": "Or maybe we have, like, a case study Spot.", "start_time": 734.98, "end_time": 736.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 158, "text": "Like we have that data.", "raw_text": "Like we have that data.", "start_time": 736.74, "end_time": 738.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 159, "text": "I just got.", "raw_text": "I just got.", "start_time": 738.06, "end_time": 738.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 160, "text": "Where we put that in the right spot is kind of the question.", "raw_text": "Where we put that in the right spot is kind of the question.", "start_time": 738.98, "end_time": 741.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 161, "text": "But I'm just going to start, I think doing it.", "raw_text": "But I'm just going to start, I think doing it.", "start_time": 742.02, "end_time": 744.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 162, "text": "I think it makes sense in the marketing harness because you got offerings, you have tier one workshops.", "raw_text": "I think it makes sense in the marketing harness because you got offerings, you have tier one workshops.", "start_time": 744.58, "end_time": 750.46, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 163, "text": "It would just be like a bigger wiki entry.", "raw_text": "It would just be like a bigger wiki entry.", "start_time": 750.46, "end_time": 752.82, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 164, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 753.46, "end_time": 754.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 165, "text": "I'm debating some of that shit you're talking about.", "raw_text": "I'm debating some of that shit you're talking about.", "start_time": 754.62, "end_time": 756.74, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 166, "text": "Just common sense though.", "raw_text": "Just common sense though.", "start_time": 756.74, "end_time": 758.26, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 167, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 758.26, "end_time": 758.82, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 168, "text": "It's frustrating.", "raw_text": "It's frustrating.", "start_time": 758.82, "end_time": 759.62, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 169, "text": "I know, I know.", "raw_text": "I know, I know.", "start_time": 760.26, "end_time": 762.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 170, "text": "Definitely at one point.", "raw_text": "Definitely at one point.", "start_time": 762.34, "end_time": 763.38, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 171, "text": "At what point is it like, are we trying to put process around that is just like a fit or a talent issue.", "raw_text": "At what point is it like, are we trying to put process around that is just like a fit or a talent issue.", "start_time": 763.38, "end_time": 772.25, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 172, "text": "But I think flushing that stuff out anyway makes sense because we're not there yet.", "raw_text": "But I think flushing that stuff out anyway makes sense because we're not there yet.", "start_time": 773.53, "end_time": 780.09, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 173, "text": "But.", "raw_text": "But.", "start_time": 780.09, "end_time": 780.49, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 174, "text": "Yeah, no, I get your point.", "raw_text": "Yeah, no, I get your point.", "start_time": 781.37, "end_time": 782.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 175, "text": "But I do, I do think too, like if we flush it out pretty well though, just having that in training would make it easier for us to like, if we ever need to grab a guy from the bullpen and make them do sales, if we have it written out, then at least it'll be useful.", "raw_text": "But I do, I do think too, like if we flush it out pretty well though, just having that in training would make it easier for us to like, if we ever need to grab a guy from the bullpen and make them do sales, if we have it written out, then at least it'll be useful.", "start_time": 782.69, "end_time": 794.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 176, "text": "Like, I feel like they'll be used.", "raw_text": "Like, I feel like they'll be used.", "start_time": 794.4, "end_time": 795.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "But I, I hear you.", "raw_text": "But I, I hear you.", "start_time": 795.44, "end_time": 796.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 178, "text": "I mean, I think, I don't think that's the case yet because I think he's.", "raw_text": "I mean, I think, I don't think that's the case yet because I think he's.", "start_time": 796.52, "end_time": 799.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 179, "text": "Yeah, but I, I, Yeah, I get what you're saying.", "raw_text": "Yeah, but I, I, Yeah, I get what you're saying.", "start_time": 800.04, "end_time": 802.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 180, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 807.24, "end_time": 807.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 181, "text": "I think that a lot of that stuff is complimentary to the marketing effort anyway.", "raw_text": "I think that a lot of that stuff is complimentary to the marketing effort anyway.", "start_time": 807.56, "end_time": 812.96, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 182, "text": "It's like, I don't know what we're selling, like the productized services.", "raw_text": "It's like, I don't know what we're selling, like the productized services.", "start_time": 812.96, "end_time": 821.71, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 183, "text": "Any like the offerings piece is cornerstone to what I think we need to give.", "raw_text": "Any like the offerings piece is cornerstone to what I think we need to give.", "start_time": 821.87, "end_time": 826.51, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 184, "text": "Vivid front.", "raw_text": "Vivid front.", "start_time": 826.51, "end_time": 827.15, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 185, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 827.71, "end_time": 828.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 186, "text": "Anyway.", "raw_text": "Anyway.", "start_time": 828.11, "end_time": 828.59, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 187, "text": "And what should be showing up on the website, like ideally, no matter what we put together, we should be able to point to like a URL that's like, oh, hey, for a recap on what we are going to talk about in the workshop, like go here.", "raw_text": "And what should be showing up on the website, like ideally, no matter what we put together, we should be able to point to like a URL that's like, oh, hey, for a recap on what we are going to talk about in the workshop, like go here.", "start_time": 828.67, "end_time": 846.11, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 188, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 847.22, "end_time": 847.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 189, "text": "Agree with anything like that.", "raw_text": "Agree with anything like that.", "start_time": 847.46, "end_time": 848.9, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 190, "text": "I agree.", "raw_text": "I agree.", "start_time": 849.46, "end_time": 850.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 191, "text": "Like, I think what I like is like something where it lands and it's like content and it's like, here's our three steps that we take you on and then here's the flavor.", "raw_text": "Like, I think what I like is like something where it lands and it's like content and it's like, here's our three steps that we take you on and then here's the flavor.", "start_time": 850.06, "end_time": 858.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 192, "text": "So like if you click it and accordions drops down like I mocked something up like that, but I don't know.", "raw_text": "So like if you click it and accordions drops down like I mocked something up like that, but I don't know.", "start_time": 858.42, "end_time": 864.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 193, "text": "Then we go in those vivid front calls and I just feel like explaining to them is tough.", "raw_text": "Then we go in those vivid front calls and I just feel like explaining to them is tough.", "start_time": 864.1, "end_time": 869.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 194, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 870.98, "end_time": 871.34, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 195, "text": "I think we're just going to have to start doing it or at least like have them put it together.", "raw_text": "I think we're just going to have to start doing it or at least like have them put it together.", "start_time": 871.34, "end_time": 875.47, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 196, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 876.59, "end_time": 876.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 197, "text": "I mean, it's hard.", "raw_text": "I mean, it's hard.", "start_time": 876.99, "end_time": 877.95, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 198, "text": "I don't think it's like all on them.", "raw_text": "I don't think it's like all on them.", "start_time": 877.95, "end_time": 879.63, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 199, "text": "Like, it's hard to.", "raw_text": "Like, it's hard to.", "start_time": 879.63, "end_time": 880.67, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 200, "text": "It's hard for me to even say what I want without doing it.", "raw_text": "It's hard for me to even say what I want without doing it.", "start_time": 883.15, "end_time": 886.99, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 201, "text": "So I agree.", "raw_text": "So I agree.", "start_time": 887.07, "end_time": 887.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 202, "text": "Because it's like, it's not like they're.", "raw_text": "Because it's like, it's not like they're.", "start_time": 887.91, "end_time": 889.469, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 203, "text": "They're bad.", "raw_text": "They're bad.", "start_time": 889.469, "end_time": 890.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 204, "text": "I feel like Kyle's pretty solid, but, yeah, like, explaining to him like, the.", "raw_text": "I feel like Kyle's pretty solid, but, yeah, like, explaining to him like, the.", "start_time": 890.03, "end_time": 893.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 205, "text": "Well, you need to be keeping up with AI so fast.", "raw_text": "Well, you need to be keeping up with AI so fast.", "start_time": 894.83, "end_time": 897.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 206, "text": "So then it's like sometimes I wonder too if, like, maybe it is good that, like, they're showing us what they're confused about because, like, people who read it aren't gonna.", "raw_text": "So then it's like sometimes I wonder too if, like, maybe it is good that, like, they're showing us what they're confused about because, like, people who read it aren't gonna.", "start_time": 897.39, "end_time": 904.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 207, "text": "But I don't know.", "raw_text": "But I don't know.", "start_time": 905.57, "end_time": 906.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 208, "text": "Yeah, that's a tough one.", "raw_text": "Yeah, that's a tough one.", "start_time": 908.05, "end_time": 909.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 209, "text": "But I do think we need to prioritize this governance stuff and by the time we actually make a play on it, it'll be old news.", "raw_text": "But I do think we need to prioritize this governance stuff and by the time we actually make a play on it, it'll be old news.", "start_time": 909.21, "end_time": 915.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 210, "text": "Like that.", "raw_text": "Like that.", "start_time": 915.33, "end_time": 915.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 211, "text": "I got it.", "raw_text": "I got it.", "start_time": 915.77, "end_time": 916.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 212, "text": "That's.", "raw_text": "That's.", "start_time": 916.33, "end_time": 916.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 213, "text": "I think overall, I don't think that's.", "raw_text": "I think overall, I don't think that's.", "start_time": 916.73, "end_time": 919.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 214, "text": "I don't think that is going to be old news.", "raw_text": "I don't think that is going to be old news.", "start_time": 919.33, "end_time": 922.85, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 215, "text": "I think that is a very hard problem.", "raw_text": "I think that is a very hard problem.", "start_time": 922.85, "end_time": 925.17, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 216, "text": "Yeah, I mean, I think it's going to be serious for like six to eight months at least.", "raw_text": "Yeah, I mean, I think it's going to be serious for like six to eight months at least.", "start_time": 926.21, "end_time": 931.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 217, "text": "But then at some point, like, I feel like it'll just be solved.", "raw_text": "But then at some point, like, I feel like it'll just be solved.", "start_time": 931.91, "end_time": 934.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 218, "text": "But I don't.", "raw_text": "But I don't.", "start_time": 934.71, "end_time": 935.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 219, "text": "I mean, I don't know.", "raw_text": "I mean, I don't know.", "start_time": 936.07, "end_time": 936.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 220, "text": "We could do some campaigns around it pretty soon, and I think it'll probably just get bigger for a while.", "raw_text": "We could do some campaigns around it pretty soon, and I think it'll probably just get bigger for a while.", "start_time": 936.91, "end_time": 941.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 221, "text": "But I don't know, like, if we want to do like a product or try to capitalize on it, like, we could do a marketing effort and we could do design sprints around it.", "raw_text": "But I don't know, like, if we want to do like a product or try to capitalize on it, like, we could do a marketing effort and we could do design sprints around it.", "start_time": 941.59, "end_time": 949.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 222, "text": "But I don't know if I want to just go do like multiple design sprints on governance, which sucks anyway.", "raw_text": "But I don't know if I want to just go do like multiple design sprints on governance, which sucks anyway.", "start_time": 949.99, "end_time": 954.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 223, "text": "I mean, I would.", "raw_text": "I mean, I would.", "start_time": 954.87, "end_time": 955.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 224, "text": "But if we, if we want to come up with like a product or we just use that to help sell our consulting retainer, like, it's probably just.", "raw_text": "But if we, if we want to come up with like a product or we just use that to help sell our consulting retainer, like, it's probably just.", "start_time": 955.83, "end_time": 963.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 225, "text": "Like, yeah, that's what I want to get to.", "raw_text": "Like, yeah, that's what I want to get to.", "start_time": 963.03, "end_time": 965.03, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 226, "text": "It's a. I ultimately think, like, the biggest thing we could do is like cloud implementations and that's a piece of it.", "raw_text": "It's a. I ultimately think, like, the biggest thing we could do is like cloud implementations and that's a piece of it.", "start_time": 965.03, "end_time": 973.55, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 227, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 974.43, "end_time": 974.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 228, "text": "And it's like, just copy this, like, OpenAI deployment company.", "raw_text": "And it's like, just copy this, like, OpenAI deployment company.", "start_time": 974.83, "end_time": 979.39, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 229, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 980.03, "end_time": 980.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 230, "text": "And the Claude one.", "raw_text": "And the Claude one.", "start_time": 980.59, "end_time": 982.03, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 231, "text": "Like, I don't know.", "raw_text": "Like, I don't know.", "start_time": 983.55, "end_time": 985.47, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 232, "text": "I think it's going to be huge.", "raw_text": "I think it's going to be huge.", "start_time": 986.2, "end_time": 987.32, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 233, "text": "I think also we've confused vivid front to no fault of their own.", "raw_text": "I think also we've confused vivid front to no fault of their own.", "start_time": 988.68, "end_time": 992.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 234, "text": "Because we were like, foundations, everything.", "raw_text": "Because we were like, foundations, everything.", "start_time": 992.28, "end_time": 993.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 235, "text": "Do foundation, foundation, foundation.", "raw_text": "Do foundation, foundation, foundation.", "start_time": 994.12, "end_time": 995.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "And now it's like, foundation is really not what we want to lead with.", "raw_text": "And now it's like, foundation is really not what we want to lead with.", "start_time": 995.96, "end_time": 998.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 237, "text": "It could be like, here's a story of the things we learned or here's a product if you want to go that route.", "raw_text": "It could be like, here's a story of the things we learned or here's a product if you want to go that route.", "start_time": 998.88, "end_time": 1003, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 238, "text": "But I think it's more like, okay, we're an AI native services company.", "raw_text": "But I think it's more like, okay, we're an AI native services company.", "start_time": 1003, "end_time": 1006.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 239, "text": "We're just going to help you outsource your engineering and give you innovation and we just use AI in our processes and if you need a platform, we have one.", "raw_text": "We're just going to help you outsource your engineering and give you innovation and we just use AI in our processes and if you need a platform, we have one.", "start_time": 1006.44, "end_time": 1015.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 240, "text": "And then we also, like, we use go.", "raw_text": "And then we also, like, we use go.", "start_time": 1015.06, "end_time": 1016.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 241, "text": "Like, we use best practices across governance and like, what we do.", "raw_text": "Like, we use best practices across governance and like, what we do.", "start_time": 1016.66, "end_time": 1019.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 242, "text": "Like, that's more of the story we're now trying to tell.", "raw_text": "Like, that's more of the story we're now trying to tell.", "start_time": 1019.54, "end_time": 1021.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 243, "text": "Yeah, yeah, I think.", "raw_text": "Yeah, yeah, I think.", "start_time": 1023.22, "end_time": 1026.1, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 244, "text": "Yeah, I mean, I think foundation is such a complementary product to our solution to any AI consulting implementation piece.", "raw_text": "Yeah, I mean, I think foundation is such a complementary product to our solution to any AI consulting implementation piece.", "start_time": 1033.54, "end_time": 1044.289, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 245, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1045.089, "end_time": 1045.489, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 246, "text": "Especially now that we're like, not trying to fight over the app layer of like chat and stuff.", "raw_text": "Especially now that we're like, not trying to fight over the app layer of like chat and stuff.", "start_time": 1045.489, "end_time": 1049.969, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 247, "text": "Like, yeah, I don't think foundation still has value.", "raw_text": "Like, yeah, I don't think foundation still has value.", "start_time": 1050.369, "end_time": 1052.889, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 248, "text": "I don't think it's like, I don't think it's a wasted effort.", "raw_text": "I don't think it's like, I don't think it's a wasted effort.", "start_time": 1052.889, "end_time": 1055.129, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 249, "text": "I also don't think we need to do it, but I think the messaging around it is probably not the best or like, it's also, I don't think, going to be the thing that lands us Net new customers majority of the time.", "raw_text": "I also don't think we need to do it, but I think the messaging around it is probably not the best or like, it's also, I don't think, going to be the thing that lands us Net new customers majority of the time.", "start_time": 1055.129, "end_time": 1066.049, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "And also, clearly we can't even like, Ren was a closed deal.", "raw_text": "And also, clearly we can't even like, Ren was a closed deal.", "start_time": 1066.049, "end_time": 1069.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 251, "text": "Now they don't even want to do it.", "raw_text": "Now they don't even want to do it.", "start_time": 1069.51, "end_time": 1070.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 252, "text": "Like, I don't know what happened there, but it's.", "raw_text": "Like, I don't know what happened there, but it's.", "start_time": 1070.59, "end_time": 1072.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 253, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 1074.31, "end_time": 1074.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 254, "text": "Jeff just mentioned that point, man.", "raw_text": "Jeff just mentioned that point, man.", "start_time": 1074.83, "end_time": 1076.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 255, "text": "They didn't want to do the whole data platform side.", "raw_text": "They didn't want to do the whole data platform side.", "start_time": 1076.07, "end_time": 1078.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "So it's like, however we're explaining it, it's like too conflated to people, I think.", "raw_text": "So it's like, however we're explaining it, it's like too conflated to people, I think.", "start_time": 1078.03, "end_time": 1082.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 257, "text": "And it's also like working with people.", "raw_text": "And it's also like working with people.", "start_time": 1082.71, "end_time": 1085.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 258, "text": "I think that's just because of that.", "raw_text": "I think that's just because of that.", "start_time": 1085.27, "end_time": 1086.63, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 259, "text": "I think it's because of that PE group in them.", "raw_text": "I think it's because of that PE group in them.", "start_time": 1086.71, "end_time": 1089.03, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 260, "text": "In their ear.", "raw_text": "In their ear.", "start_time": 1089.35, "end_time": 1090.15, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 261, "text": "Yeah, maybe.", "raw_text": "Yeah, maybe.", "start_time": 1090.95, "end_time": 1091.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 262, "text": "But, yeah, I don't know.", "raw_text": "But, yeah, I don't know.", "start_time": 1093.68, "end_time": 1094.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 263, "text": "I feel like even that PE group should know.", "raw_text": "I feel like even that PE group should know.", "start_time": 1094.56, "end_time": 1096.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 264, "text": "Like, this is.", "raw_text": "Like, this is.", "start_time": 1096.08, "end_time": 1096.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 265, "text": "This would be helpful to them.", "raw_text": "This would be helpful to them.", "start_time": 1096.68, "end_time": 1097.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 266, "text": "Like, it would just solve their.", "raw_text": "Like, it would just solve their.", "start_time": 1097.84, "end_time": 1099, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 267, "text": "Solve their problems.", "raw_text": "Solve their problems.", "start_time": 1099, "end_time": 1100, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 268, "text": "But yeah, maybe it's like, I think what we need to do is sell pieces of foundation to build up to it.", "raw_text": "But yeah, maybe it's like, I think what we need to do is sell pieces of foundation to build up to it.", "start_time": 1102.24, "end_time": 1111.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 269, "text": "If we just help people build their own MCP or we just help with best practices with Copilot, or we just help standardize their governance.", "raw_text": "If we just help people build their own MCP or we just help with best practices with Copilot, or we just help standardize their governance.", "start_time": 1111.36, "end_time": 1118, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 270, "text": "Then it's like, oh, well, we have a platform that does this and all these other things.", "raw_text": "Then it's like, oh, well, we have a platform that does this and all these other things.", "start_time": 1118.38, "end_time": 1121.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 271, "text": "Because, like, I think starting with the platform, it's like, well, it does this and it does that.", "raw_text": "Because, like, I think starting with the platform, it's like, well, it does this and it does that.", "start_time": 1122.14, "end_time": 1125.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 272, "text": "It does this and it does that.", "raw_text": "It does this and it does that.", "start_time": 1125.58, "end_time": 1126.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 273, "text": "And they're like, okay, like, that's too much.", "raw_text": "And they're like, okay, like, that's too much.", "start_time": 1126.58, "end_time": 1128.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 274, "text": "But if we get them on one thing, we do it separately and then we're like, oh, well, we also have this platform that does 10 other things and we can just port this work in like, I think that's the strategy that sells foundation.", "raw_text": "But if we get them on one thing, we do it separately and then we're like, oh, well, we also have this platform that does 10 other things and we can just port this work in like, I think that's the strategy that sells foundation.", "start_time": 1128.14, "end_time": 1137.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 275, "text": "We just don't lead with it.", "raw_text": "We just don't lead with it.", "start_time": 1137.26, "end_time": 1138.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 276, "text": "Yeah, you see Carpathy joined Anthropic.", "raw_text": "Yeah, you see Carpathy joined Anthropic.", "start_time": 1139.26, "end_time": 1143.98, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 277, "text": "Oh, did he?", "raw_text": "Oh, did he?", "start_time": 1144.62, "end_time": 1145.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 278, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1145.74, "end_time": 1146.22, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 279, "text": "Everyone's at Anthropic.", "raw_text": "Everyone's at Anthropic.", "start_time": 1146.7, "end_time": 1147.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 280, "text": "Oh, my gosh.", "raw_text": "Oh, my gosh.", "start_time": 1147.98, "end_time": 1148.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 281, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1153.18, "end_time": 1153.58, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 282, "text": "I mean, so I would say most of stuff you mentioned would be start.", "raw_text": "I mean, so I would say most of stuff you mentioned would be start.", "start_time": 1153.58, "end_time": 1163.74, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 283, "text": "We start with the marketing piece.", "raw_text": "We start with the marketing piece.", "start_time": 1163.74, "end_time": 1165.82, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 284, "text": "Yeah, I mean, that'll help us flesh out all the offerings and stuff.", "raw_text": "Yeah, I mean, that'll help us flesh out all the offerings and stuff.", "start_time": 1167.02, "end_time": 1170.26, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 285, "text": "I gotta figure out.", "raw_text": "I gotta figure out.", "start_time": 1170.26, "end_time": 1170.9, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 286, "text": "I gotta finish ingesting, like, a bunch more.", "raw_text": "I gotta finish ingesting, like, a bunch more.", "start_time": 1170.9, "end_time": 1172.86, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 287, "text": "I got, like, 10 more things to ingest into it, and I'll do a PR there.", "raw_text": "I got, like, 10 more things to ingest into it, and I'll do a PR there.", "start_time": 1173.41, "end_time": 1177.73, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 288, "text": "Yeah, I want to pull that down and start messing with it, but I know I got to do.", "raw_text": "Yeah, I want to pull that down and start messing with it, but I know I got to do.", "start_time": 1178.69, "end_time": 1182.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "Oh, I got.", "raw_text": "Oh, I got.", "start_time": 1182.85, "end_time": 1183.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "I got lunch with a guy who I used to play football with.", "raw_text": "I got lunch with a guy who I used to play football with.", "start_time": 1183.49, "end_time": 1185.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "He's a few years older than me.", "raw_text": "He's a few years older than me.", "start_time": 1185.77, "end_time": 1186.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 292, "text": "He works at Genome Oncology.", "raw_text": "He works at Genome Oncology.", "start_time": 1186.81, "end_time": 1188.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 293, "text": "I think he'd be a good fit if he wants to come over.", "raw_text": "I think he'd be a good fit if he wants to come over.", "start_time": 1188.25, "end_time": 1190.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 294, "text": "So I'm having lunch with him, and then I got to prep these park nuclear slides.", "raw_text": "So I'm having lunch with him, and then I got to prep these park nuclear slides.", "start_time": 1190.41, "end_time": 1193.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 295, "text": "I guess we're kicking that off asap.", "raw_text": "I guess we're kicking that off asap.", "start_time": 1193.93, "end_time": 1195.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 296, "text": "And then I think what I'll do is just give you a list of all the stuff I've been working on, and it's on my plate.", "raw_text": "And then I think what I'll do is just give you a list of all the stuff I've been working on, and it's on my plate.", "start_time": 1195.57, "end_time": 1201.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 297, "text": "And then tomorrow we can one on one and just prioritize it, because it's like, I definitely have too much stuff that, like, I don't know even know what to.", "raw_text": "And then tomorrow we can one on one and just prioritize it, because it's like, I definitely have too much stuff that, like, I don't know even know what to.", "start_time": 1201.88, "end_time": 1207.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 298, "text": "What to move, where it's always coming from different angles right now.", "raw_text": "What to move, where it's always coming from different angles right now.", "start_time": 1207.48, "end_time": 1210.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 299, "text": "Yeah, well, some of those design things I can help handle as well.", "raw_text": "Yeah, well, some of those design things I can help handle as well.", "start_time": 1211.8, "end_time": 1218.68, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 300, "text": "Yeah, that'd be good.", "raw_text": "Yeah, that'd be good.", "start_time": 1219.64, "end_time": 1220.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 301, "text": "But, yeah, I think we'll see.", "raw_text": "But, yeah, I think we'll see.", "start_time": 1223.08, "end_time": 1224.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 302, "text": "We'll see how those, like, split up.", "raw_text": "We'll see how those, like, split up.", "start_time": 1224.4, "end_time": 1226.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 303, "text": "Because I think the.", "raw_text": "Because I think the.", "start_time": 1226.36, "end_time": 1227.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 304, "text": "The Hinkley one's easy because I'm like, right here by Lake Avon Lake now.", "raw_text": "The Hinkley one's easy because I'm like, right here by Lake Avon Lake now.", "start_time": 1227.67, "end_time": 1230.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 305, "text": "So, like, that one probably makes sense.", "raw_text": "So, like, that one probably makes sense.", "start_time": 1230.99, "end_time": 1232.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 306, "text": "And then I was just there.", "raw_text": "And then I was just there.", "start_time": 1232.43, "end_time": 1233.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 307, "text": "But we'll see what they want to do and then.", "raw_text": "But we'll see what they want to do and then.", "start_time": 1234.47, "end_time": 1236.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 308, "text": "Yeah, I guess it depends on what we want to do with foundation.", "raw_text": "Yeah, I guess it depends on what we want to do with foundation.", "start_time": 1238.23, "end_time": 1240.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 309, "text": "I feel like foundation wise, if I focus on anything, it should probably be like standardizing the eval suite, but I wonder if.", "raw_text": "I feel like foundation wise, if I focus on anything, it should probably be like standardizing the eval suite, but I wonder if.", "start_time": 1240.35, "end_time": 1246.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 310, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 1246.23, "end_time": 1246.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 311, "text": "I assume Boone has no more foundation time, because I could do that and then jump over there.", "raw_text": "I assume Boone has no more foundation time, because I could do that and then jump over there.", "start_time": 1246.67, "end_time": 1251.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "Yeah, we'll see how the signet stuff goes to, like, if Infosec kicks off.", "raw_text": "Yeah, we'll see how the signet stuff goes to, like, if Infosec kicks off.", "start_time": 1253.2, "end_time": 1256.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 313, "text": "I'm trying to use Infosec to help get us more time on app mod.", "raw_text": "I'm trying to use Infosec to help get us more time on app mod.", "start_time": 1256.6, "end_time": 1260.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "Sounds like Learner was saying they're ahead on deliverables right now.", "raw_text": "Sounds like Learner was saying they're ahead on deliverables right now.", "start_time": 1260.64, "end_time": 1263.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "I don't know about that.", "raw_text": "I don't know about that.", "start_time": 1266.32, "end_time": 1267.48, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 316, "text": "I don't think that's true.", "raw_text": "I don't think that's true.", "start_time": 1267.48, "end_time": 1268.88, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 317, "text": "Well, I wonder if that's across the board or just him, but.", "raw_text": "Well, I wonder if that's across the board or just him, but.", "start_time": 1270.16, "end_time": 1272.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 318, "text": "Yeah, that's too bad.", "raw_text": "Yeah, that's too bad.", "start_time": 1272.32, "end_time": 1273.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 319, "text": "I think they're chasing.", "raw_text": "I think they're chasing.", "start_time": 1275.28, "end_time": 1276.4, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 320, "text": "I mean, they spent a ton of time before the car contract was Signed.", "raw_text": "I mean, they spent a ton of time before the car contract was Signed.", "start_time": 1276.48, "end_time": 1280.21, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 321, "text": "Oh yeah, I guess.", "raw_text": "Oh yeah, I guess.", "start_time": 1281.41, "end_time": 1282.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 322, "text": "Hour.", "raw_text": "Hour.", "start_time": 1282.37, "end_time": 1282.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 323, "text": "I know.", "raw_text": "I know.", "start_time": 1282.61, "end_time": 1282.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "Hours.", "raw_text": "Hours.", "start_time": 1282.93, "end_time": 1283.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 325, "text": "Maybe like on the individual.", "raw_text": "Maybe like on the individual.", "start_time": 1283.25, "end_time": 1284.61, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 326, "text": "Maybe on individual apps.", "raw_text": "Maybe on individual apps.", "start_time": 1285.41, "end_time": 1287.45, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 327, "text": "They're doing good now, but I think we were like, I don't know, few.", "raw_text": "They're doing good now, but I think we were like, I don't know, few.", "start_time": 1287.45, "end_time": 1296.05, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 328, "text": "What was it maybe like 400 or 500 hours out run like initial scaffolding and the non app stuff.", "raw_text": "What was it maybe like 400 or 500 hours out run like initial scaffolding and the non app stuff.", "start_time": 1300.37, "end_time": 1311.43, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 329, "text": "Buzzy thinks we could do a change order for two of them.", "raw_text": "Buzzy thinks we could do a change order for two of them.", "start_time": 1312.23, "end_time": 1314.71, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 330, "text": "So that would help but be good.", "raw_text": "So that would help but be good.", "start_time": 1314.79, "end_time": 1318.87, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 331, "text": "But yeah, it's nice.", "raw_text": "But yeah, it's nice.", "start_time": 1321.589, "end_time": 1322.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "They finally sign and you have to.", "raw_text": "They finally sign and you have to.", "start_time": 1322.51, "end_time": 1323.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 333, "text": "Or it'd be nice if they sign a final frontier one too.", "raw_text": "Or it'd be nice if they sign a final frontier one too.", "start_time": 1323.91, "end_time": 1326.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "Yeah, that'd be good.", "raw_text": "Yeah, that'd be good.", "start_time": 1326.95, "end_time": 1332.64, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 335, "text": "We need to prep anything for Orzen tomorrow.", "raw_text": "We need to prep anything for Orzen tomorrow.", "start_time": 1338, "end_time": 1340.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "We just show up and take notes, right?", "raw_text": "We just show up and take notes, right?", "start_time": 1340.04, "end_time": 1342, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 337, "text": "Yeah, I don't think we need to prep anything.", "raw_text": "Yeah, I don't think we need to prep anything.", "start_time": 1342.8, "end_time": 1345.6, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 338, "text": "Perfect.", "raw_text": "Perfect.", "start_time": 1346.72, "end_time": 1347.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 339, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 1361.21, "end_time": 1361.65, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 340, "text": "Then the.", "raw_text": "Then the.", "start_time": 1361.65, "end_time": 1362.05, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 341, "text": "The only thing we didn't talk about was anthropic.", "raw_text": "The only thing we didn't talk about was anthropic.", "start_time": 1362.05, "end_time": 1364.09, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 342, "text": "Yeah, you were saying.", "raw_text": "Yeah, you were saying.", "start_time": 1365.45, "end_time": 1366.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 343, "text": "AI console, website and then anthropic.", "raw_text": "AI console, website and then anthropic.", "start_time": 1366.81, "end_time": 1369.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "So.", "raw_text": "So.", "start_time": 1369.13, "end_time": 1369.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 345, "text": "Yeah, I guess I gotta go.", "raw_text": "Yeah, I guess I gotta go.", "start_time": 1369.29, "end_time": 1370.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 346, "text": "Yeah, the registered link works now for us.", "raw_text": "Yeah, the registered link works now for us.", "start_time": 1370.57, "end_time": 1373.13, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 347, "text": "I don't.", "raw_text": "I don't.", "start_time": 1374.65, "end_time": 1375.05, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 348, "text": "They didn't respond to me or anything.", "raw_text": "They didn't respond to me or anything.", "start_time": 1375.05, "end_time": 1376.37, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 349, "text": "It just started working so.", "raw_text": "It just started working so.", "start_time": 1376.37, "end_time": 1377.93, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 350, "text": "So if you go in there, then you can get to like a practice test too.", "raw_text": "So if you go in there, then you can get to like a practice test too.", "start_time": 1378.97, "end_time": 1384.41, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 351, "text": "It might have been in there.", "raw_text": "It might have been in there.", "start_time": 1389.37, "end_time": 1390.33, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 352, "text": "Mitch might have sent the practice.", "raw_text": "Mitch might have sent the practice.", "start_time": 1391.45, "end_time": 1393.17, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 353, "text": "The practice league.", "raw_text": "The practice league.", "start_time": 1393.17, "end_time": 1394.25, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 354, "text": "Yeah, he sent.", "raw_text": "Yeah, he sent.", "start_time": 1395.45, "end_time": 1396.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "I can't register for the real exam.", "raw_text": "I can't register for the real exam.", "start_time": 1396.65, "end_time": 1398.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 356, "text": "Oh, wait, here we go.", "raw_text": "Oh, wait, here we go.", "start_time": 1398.65, "end_time": 1399.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 357, "text": "Register for the exam.", "raw_text": "Register for the exam.", "start_time": 1399.45, "end_time": 1400.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 358, "text": "Yeah, that works.", "raw_text": "Yeah, that works.", "start_time": 1402.09, "end_time": 1402.89, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 359, "text": "Now we'll have to spend.", "raw_text": "Now we'll have to spend.", "start_time": 1402.89, "end_time": 1404.25, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 360, "text": "It's like $49 for each.", "raw_text": "It's like $49 for each.", "start_time": 1404.25, "end_time": 1405.93, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 361, "text": "I wonder how hard this exam is.", "raw_text": "I wonder how hard this exam is.", "start_time": 1414.66, "end_time": 1415.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "Sure, it can't be that bad.", "raw_text": "Sure, it can't be that bad.", "start_time": 1416.02, "end_time": 1417.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "So should I do this access request to just take the exam?", "raw_text": "So should I do this access request to just take the exam?", "start_time": 1423.7, "end_time": 1426.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "You.", "raw_text": "You.", "start_time": 1427.7, "end_time": 1428.1, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 365, "text": "You do that and then it just sends you an email and then you click it and then you're in like a place you can actually like pay and start.", "raw_text": "You do that and then it just sends you an email and then you click it and then you're in like a place you can actually like pay and start.", "start_time": 1428.18, "end_time": 1437.14, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 366, "text": "Okay.", "raw_text": "Okay.", "start_time": 1438.17, "end_time": 1438.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1440.49, "end_time": 1440.81, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 368, "text": "I'll go take a look at the exam guide and then do you want me to like, let me have like a lecture to prep guys for that?", "raw_text": "I'll go take a look at the exam guide and then do you want me to like, let me have like a lecture to prep guys for that?", "start_time": 1440.81, "end_time": 1447.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 369, "text": "I mean, I could just do that.", "raw_text": "I mean, I could just do that.", "start_time": 1447.45, "end_time": 1449.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 370, "text": "Yeah, I think we could just have like a kickoff meeting.", "raw_text": "Yeah, I think we could just have like a kickoff meeting.", "start_time": 1450.57, "end_time": 1453.05, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 371, "text": "Yeah, I can.", "raw_text": "Yeah, I can.", "start_time": 1454.25, "end_time": 1455.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "I could like study it and then do that to save all the guys time.", "raw_text": "I could like study it and then do that to save all the guys time.", "start_time": 1455.01, "end_time": 1458.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 373, "text": "And then we'll sneeze.", "raw_text": "And then we'll sneeze.", "start_time": 1463.22, "end_time": 1464.06, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 374, "text": "I don't know how we want to.", "raw_text": "I don't know how we want to.", "start_time": 1464.06, "end_time": 1465.06, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 375, "text": "We could do the same 10 that already took it.", "raw_text": "We could do the same 10 that already took it.", "start_time": 1465.22, "end_time": 1467.22, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 376, "text": "The practice thing.", "raw_text": "The practice thing.", "start_time": 1467.86, "end_time": 1469.06, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 377, "text": "That's probably the best bet.", "raw_text": "That's probably the best bet.", "start_time": 1474.98, "end_time": 1476.5, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 378, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1478.34, "end_time": 1478.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 379, "text": "Depending on what it's on.", "raw_text": "Depending on what it's on.", "start_time": 1478.899, "end_time": 1479.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 380, "text": "I was gonna say if it's easy.", "raw_text": "I was gonna say if it's easy.", "start_time": 1479.94, "end_time": 1480.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 381, "text": "I bet you I, ah.", "raw_text": "I bet you I, ah.", "start_time": 1480.98, "end_time": 1481.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 382, "text": "Re.", "raw_text": "Re.", "start_time": 1481.86, "end_time": 1482.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 383, "text": "Reed will pass this.", "raw_text": "Reed will pass this.", "start_time": 1482.22, "end_time": 1483.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 384, "text": "He'll be good, man.", "raw_text": "He'll be good, man.", "start_time": 1483.3, "end_time": 1485.62, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 385, "text": "The.", "raw_text": "The.", "start_time": 1485.62, "end_time": 1486.02, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 386, "text": "I think it's.", "raw_text": "I think it's.", "start_time": 1486.5, "end_time": 1487.22, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 387, "text": "I honestly think it's the same thing as the little quizzes they gave you at the end.", "raw_text": "I honestly think it's the same thing as the little quizzes they gave you at the end.", "start_time": 1487.22, "end_time": 1492.8, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 388, "text": "Yeah, I feel like it can't be that Hard.", "raw_text": "Yeah, I feel like it can't be that Hard.", "start_time": 1493.36, "end_time": 1494.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 389, "text": "It was pretty easy.", "raw_text": "It was pretty easy.", "start_time": 1496, "end_time": 1497.04, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 390, "text": "Well, I wonder if they make you do any code.", "raw_text": "Well, I wonder if they make you do any code.", "start_time": 1497.36, "end_time": 1499.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 391, "text": "But honestly, if I like, if they make you code, they probably use cloud code.", "raw_text": "But honestly, if I like, if they make you code, they probably use cloud code.", "start_time": 1500.4, "end_time": 1504.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 392, "text": "Like in all their, like actual interviews you can use clog code.", "raw_text": "Like in all their, like actual interviews you can use clog code.", "start_time": 1504.36, "end_time": 1507.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 393, "text": "I'd be surprised if they don't let their vendors do that.", "raw_text": "I'd be surprised if they don't let their vendors do that.", "start_time": 1510.08, "end_time": 1512.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 394, "text": "Why wouldn't let me download a practice exam?", "raw_text": "Why wouldn't let me download a practice exam?", "start_time": 1532.33, "end_time": 1534.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 395, "text": "This thing's annoying.", "raw_text": "This thing's annoying.", "start_time": 1534.13, "end_time": 1535.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 396, "text": "Then they say it takes like a week to get your results.", "raw_text": "Then they say it takes like a week to get your results.", "start_time": 1573.79, "end_time": 1576.27, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 397, "text": "What?", "raw_text": "What?", "start_time": 1577.47, "end_time": 1577.87, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 398, "text": "Why does it take so long?", "raw_text": "Why does it take so long?", "start_time": 1579.15, "end_time": 1580.51, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 399, "text": "That's ridiculous.", "raw_text": "That's ridiculous.", "start_time": 1581.63, "end_time": 1582.669, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 400, "text": "I think there's like a long retry period too.", "raw_text": "I think there's like a long retry period too.", "start_time": 1583.31, "end_time": 1586.19, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 401, "text": "So we gotta not it up or we'll just have to keep going down the line until we get 10 of them.", "raw_text": "So we gotta not it up or we'll just have to keep going down the line until we get 10 of them.", "start_time": 1587.07, "end_time": 1596.19, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 402, "text": "Oh, Yeah.", "raw_text": "Oh, Yeah.", "start_time": 1597.14, "end_time": 1605.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 403, "text": "It's like if you fail, you're just not allowed to be on our.", "raw_text": "It's like if you fail, you're just not allowed to be on our.", "start_time": 1605.58, "end_time": 1607.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 404, "text": "Our quad approved list.", "raw_text": "Our quad approved list.", "start_time": 1607.74, "end_time": 1609.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 405, "text": "You're not allowed to use it.", "raw_text": "You're not allowed to use it.", "start_time": 1609.46, "end_time": 1610.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 406, "text": "You gotta.", "raw_text": "You gotta.", "start_time": 1610.54, "end_time": 1610.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 407, "text": "You gotta develop with OpenAI.", "raw_text": "You gotta develop with OpenAI.", "start_time": 1610.82, "end_time": 1611.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 408, "text": "If you fail to.", "raw_text": "If you fail to.", "start_time": 1611.98, "end_time": 1612.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 409, "text": "Oh, you know what we should do?", "raw_text": "Oh, you know what we should do?", "start_time": 1649.77, "end_time": 1650.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 410, "text": "I saw this Instagram video and people were saying like, whatever your product or company is, put up a domain that's like morelandconnectreviews.com and then just post all your reviews.", "raw_text": "I saw this Instagram video and people were saying like, whatever your product or company is, put up a domain that's like morelandconnectreviews.com and then just post all your reviews.", "start_time": 1651.21, "end_time": 1661.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 411, "text": "So like, if AI goes to do a query, like more than Connect, it'll look like More than connect reviews and it'll pull in our reviews that we posted.", "raw_text": "So like, if AI goes to do a query, like more than Connect, it'll look like More than connect reviews and it'll pull in our reviews that we posted.", "start_time": 1661.81, "end_time": 1668.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 412, "text": "So we should like either like launch a subdomain or like buy that.", "raw_text": "So we should like either like launch a subdomain or like buy that.", "start_time": 1669.13, "end_time": 1672.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 413, "text": "So we like morelandconnectreviews.com just put all like good cake.", "raw_text": "So we like morelandconnectreviews.com just put all like good cake.", "start_time": 1672.81, "end_time": 1676.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 414, "text": "Like that's where we could put our case studies to live.", "raw_text": "Like that's where we could put our case studies to live.", "start_time": 1676.34, "end_time": 1678.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 415, "text": "And even if it's just like an LLM text, like that, that's really good for our AEO or what.", "raw_text": "And even if it's just like an LLM text, like that, that's really good for our AEO or what.", "start_time": 1678.58, "end_time": 1684.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 416, "text": "The skill jar links not working.", "raw_text": "The skill jar links not working.", "start_time": 1733.96, "end_time": 1735.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 417, "text": "This is such a software.", "raw_text": "This is such a software.", "start_time": 1735.56, "end_time": 1737.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 418, "text": "It's not.", "raw_text": "It's not.", "start_time": 1737.28, "end_time": 1737.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 419, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1747.16, "end_time": 1747.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 420, "text": "Your results will be emailed in seven business days.", "raw_text": "Your results will be emailed in seven business days.", "start_time": 1747.6, "end_time": 1750.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 421, "text": "Do they just want to double check it it.", "raw_text": "Do they just want to double check it it.", "start_time": 1750.92, "end_time": 1753.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 422, "text": "By area?", "raw_text": "By area?", "start_time": 1778.32, "end_time": 1778.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 423, "text": "This can't be that hard.", "raw_text": "This can't be that hard.", "start_time": 1857.15, "end_time": 1858.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 424, "text": "All questions are multiple choice.", "raw_text": "All questions are multiple choice.", "start_time": 1858.15, "end_time": 1859.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 425, "text": "I was like expecting them to make us like code.", "raw_text": "I was like expecting them to make us like code.", "start_time": 1860.03, "end_time": 1862.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 426, "text": "Honestly, we should like make this a competition to see who can get a thousand.", "raw_text": "Honestly, we should like make this a competition to see who can get a thousand.", "start_time": 1870.91, "end_time": 1873.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 427, "text": "I'm gonna be pissed if I get a question wrong.", "raw_text": "I'm gonna be pissed if I get a question wrong.", "start_time": 1873.91, "end_time": 1875.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 428, "text": "It looks like it's all like scenario based.", "raw_text": "It looks like it's all like scenario based.", "start_time": 1878.03, "end_time": 1880.11, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 429, "text": "Yeah, like an example question a Docs team has cloud code generate.", "raw_text": "Yeah, like an example question a Docs team has cloud code generate.", "start_time": 1881.28, "end_time": 1885.44, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 430, "text": "Oh, I gotta jump on this call.", "raw_text": "Oh, I gotta jump on this call.", "start_time": 1885.44, "end_time": 1887.04, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 431, "text": "I'll talk to you later.", "raw_text": "I'll talk to you later.", "start_time": 1887.36, "end_time": 1888.32, "speaker_id": 0, "speaker_name": "Justin"}, {"index": 432, "text": "All right.", "raw_text": "All right.", "start_time": 1888.48, "end_time": 1888.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 433, "text": "Yep.", "raw_text": "Yep.", "start_time": 1888.92, "end_time": 1889.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 434, "text": "I'll see you later.", "raw_text": "I'll see you later.", "start_time": 1889.16, "end_time": 1889.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 435, "text": "Peace.", "raw_text": "Peace.", "start_time": 1890, "end_time": 1890.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}]
participant_count
5
participants
[{"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "nick.buzzy@morelandconnect.com", "name": null}, {"email": "caden.kacmarynski@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KKYDFVVCSVEJED8JY6CRARA1 | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KKYDFVVCSVEJED8JY6CRARA1
title
Foundation Stand up
date
2026-03-24 15:00:00+00:00
duration_minutes
54
duration
54
transcript_url
https://app.fireflies.ai/view/01KKYDFVVCSVEJED8JY6CRARA1
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_N2RjNGFmMmUtMTY4NC00Y2NiLWIyYzctYzA4ODZkNTkzMDEx@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team discussed critical data consistency challenges and proposed real-time update solutions to enhance data accuracy, notably addressing deletion gaps in systems like Toggle and QuickBooks. David Boone emphasized the need for standardized approaches to data updates and a backup strategy for data loss prevention. The integration of multiple environment branches using Vercel and Supabase was planned to support different stages, including staging and demo environments. Additionally, efforts to develop an AI agent node for complex workflows were outlined, with considerations for integrating Cube querying functionalities. Lastly, the team prioritized use cases into four core themes to streamline future development and enhance project management efficiency.
action_items
"\\n**David Boone**\\nDevelop and refine the data platform handling of deletions via webhook prototype (Toggle CDC webhook) (03:21)\\nContinue progress on Safeguard app workflow cleanup, especially enabling editing for shared workflows and staging environment setup in Vercel and Supabase (13:50)\\nTake 2-3 hours this week to improve admin portal and merge foundation/data platform UI experiences for Safeguard use (17:15)\\nContinue development of Foundation agent AI node in workflow builder, then determine if handoff to Caden is appropriate (19:05)\\nWork on refining sandbox environment logging and security improvements related to egress and dev modes (39:50)\\nExamine skills/tools/MCP abstraction for better integration with workflow builder and agents (43:00)\\nReview and improve Cube integration with chat and workflow systems; assist Caden as needed (41:00)\\n\\n**Caden Kacmarynski**\\nSet up staging and demo branches/environments in Vercel with appropriate database instances; start building vertical-specific sales demos with Reed (12:35)\\nOversee onboarding Reed for foundation system and video demo creation (12:35)\\nTake ownership of multi-tenant architecture and monorepo discussion; work on making a proposal and roadmap (17:45)\\nTake on Cube node development in workflow builder after demo environment setup (39:15)\\nAssist with SharePoint folder structure planning for storing processed project data and context artifacts (34:00)\\nPrepare proposal and roadmap for use case implementation based on Thursday meeting; schedule a follow-up engineering discussion (53:55)\\n\\n**Mark Murphy**\\nContinue Safeguard-focused development and support as needed \\n"
transcript_text
[{"index": 0, "text": "Town or you still Nashville.", "raw_text": "Town or you still Nashville.", "start_time": 0.08, "end_time": 1.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 1, "text": "I'm back.", "raw_text": "I'm back.", "start_time": 2.32, "end_time": 2.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 2, "text": "I got back late last night.", "raw_text": "I got back late last night.", "start_time": 3.04, "end_time": 4.72, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 3, "text": "I was actually on the same flight.", "raw_text": "I was actually on the same flight.", "start_time": 4.72, "end_time": 7.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 4, "text": "Yeah, that's hilarious.", "raw_text": "Yeah, that's hilarious.", "start_time": 7.76, "end_time": 8.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 5, "text": "He was like, what the hell are you doing here?", "raw_text": "He was like, what the hell are you doing here?", "start_time": 9.92, "end_time": 11.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 6, "text": "Like, yeah, I did not put my O in, but.", "raw_text": "Like, yeah, I did not put my O in, but.", "start_time": 14.64, "end_time": 18.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 7, "text": "But I'm in Nashville.", "raw_text": "But I'm in Nashville.", "start_time": 18.88, "end_time": 20.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 8, "text": "It was cool, man.", "raw_text": "It was cool, man.", "start_time": 20.8, "end_time": 21.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 9, "text": "The school was awesome.", "raw_text": "The school was awesome.", "start_time": 21.8, "end_time": 23.04, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 10, "text": "Learned a ton of.", "raw_text": "Learned a ton of.", "start_time": 24, "end_time": 25.54, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 11, "text": "There's a lot of work to be done to start a school, especially a private school.", "raw_text": "There's a lot of work to be done to start a school, especially a private school.", "start_time": 25.61, "end_time": 29.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 12, "text": "So I am very, very much of like, the I'm in over my head, I don't know if I want to do this anymore phase.", "raw_text": "So I am very, very much of like, the I'm in over my head, I don't know if I want to do this anymore phase.", "start_time": 29.29, "end_time": 37.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 13, "text": "That sounds.", "raw_text": "That sounds.", "start_time": 38.97, "end_time": 39.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 14, "text": "What's going on on that end?", "raw_text": "What's going on on that end?", "start_time": 44.01, "end_time": 45.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 15, "text": "Not to assume Murf's going to be in this.", "raw_text": "Not to assume Murf's going to be in this.", "start_time": 47.21, "end_time": 48.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 16, "text": "Is he in that other meeting for a while?", "raw_text": "Is he in that other meeting for a while?", "start_time": 48.97, "end_time": 50.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 17, "text": "Is it a safeguard?", "raw_text": "Is it a safeguard?", "start_time": 50.53, "end_time": 51.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 18, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 51.85, "end_time": 52.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 19, "text": "Look like they're going to say, I let me check on him or.", "raw_text": "Look like they're going to say, I let me check on him or.", "start_time": 52.25, "end_time": 54.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 20, "text": "Yeah, I mean, I'll just.", "raw_text": "Yeah, I mean, I'll just.", "start_time": 54.81, "end_time": 56.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 21, "text": "I'll poke right in important if that's safeguard than this.", "raw_text": "I'll poke right in important if that's safeguard than this.", "start_time": 56.97, "end_time": 60.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 22, "text": "So I'll go see if they're talking.", "raw_text": "So I'll go see if they're talking.", "start_time": 60.33, "end_time": 61.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 23, "text": "I talked to Murph a little bit about like, well, one quick update.", "raw_text": "I talked to Murph a little bit about like, well, one quick update.", "start_time": 61.53, "end_time": 64.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "It's like I made a staging branch.", "raw_text": "It's like I made a staging branch.", "start_time": 64.77, "end_time": 66.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 25, "text": "And then I was like, okay, like, how do we want to go about this?", "raw_text": "And then I was like, okay, like, how do we want to go about this?", "start_time": 66.25, "end_time": 68.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "And something that we should talk about is like, well, how do we want to do we want to combine in the data platform.", "raw_text": "And something that we should talk about is like, well, how do we want to do we want to combine in the data platform.", "start_time": 68.81, "end_time": 75.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 27, "text": "And then I wrote some.", "raw_text": "And then I wrote some.", "start_time": 75.69, "end_time": 77.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 28, "text": "So I have markdown files of like an audit on how we can go single tenant and what we want to rip out.", "raw_text": "So I have markdown files of like an audit on how we can go single tenant and what we want to rip out.", "start_time": 77.49, "end_time": 83.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 29, "text": "And then I also like what we can start doing to combine to a mono repo.", "raw_text": "And then I also like what we can start doing to combine to a mono repo.", "start_time": 83.27, "end_time": 86.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 30, "text": "Because last week we talked about, oh, we want to have one repo and this repo has staging and confirmed that.", "raw_text": "Because last week we talked about, oh, we want to have one repo and this repo has staging and confirmed that.", "start_time": 86.79, "end_time": 95.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 31, "text": "Well, confirmed one.", "raw_text": "Well, confirmed one.", "start_time": 95.07, "end_time": 96.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 32, "text": "So not one repo total, but I meant one environment for foundation and that would be in the foundation part of the repo.", "raw_text": "So not one repo total, but I meant one environment for foundation and that would be in the foundation part of the repo.", "start_time": 96.63, "end_time": 103.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 33, "text": "There'd be a dev and a staging or not dev and a staging, a prod and a staging.", "raw_text": "There'd be a dev and a staging or not dev and a staging, a prod and a staging.", "start_time": 103.43, "end_time": 108.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 34, "text": "And then there'd be two instances of that.", "raw_text": "And then there'd be two instances of that.", "start_time": 108.52, "end_time": 110.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 35, "text": "And Merv pointed out we could do that.", "raw_text": "And Merv pointed out we could do that.", "start_time": 110.92, "end_time": 112.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 36, "text": "I was going to make a separate Vercel project, but you can just do that all in one project.", "raw_text": "I was going to make a separate Vercel project, but you can just do that all in one project.", "start_time": 112.64, "end_time": 117.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 37, "text": "So you can target two branches and then you can have two versions of the environment or just switches of EMVs and databases.", "raw_text": "So you can target two branches and then you can have two versions of the environment or just switches of EMVs and databases.", "start_time": 117.88, "end_time": 125.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 38, "text": "So we were going to set up a four, basically four accessible versions via Vercel for Foundation, which would be staging producer Morland and sales demo for that was kind of like next steps.", "raw_text": "So we were going to set up a four, basically four accessible versions via Vercel for Foundation, which would be staging producer Morland and sales demo for that was kind of like next steps.", "start_time": 125.72, "end_time": 140.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 39, "text": "But I don't know, it might be still worth conversation on if we go monorepo or move the data platform over.", "raw_text": "But I don't know, it might be still worth conversation on if we go monorepo or move the data platform over.", "start_time": 140.73, "end_time": 145.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 40, "text": "Because the thing is, if we're Demoing.", "raw_text": "Because the thing is, if we're Demoing.", "start_time": 145.89, "end_time": 147.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 41, "text": "We're demoing features of the data platform.", "raw_text": "We're demoing features of the data platform.", "start_time": 147.81, "end_time": 149.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 42, "text": "So that was like kind of where I paused there and then I had some, I had some thoughts on the outcome of our Thursday meeting.", "raw_text": "So that was like kind of where I paused there and then I had some, I had some thoughts on the outcome of our Thursday meeting.", "start_time": 150.01, "end_time": 156.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 43, "text": "We like, we met this week, David on with Sam and Paul Merck and Justin and went through like a bunch of foundation internal use cases that we want to start working on.", "raw_text": "We like, we met this week, David on with Sam and Paul Merck and Justin and went through like a bunch of foundation internal use cases that we want to start working on.", "start_time": 156.49, "end_time": 166.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 44, "text": "Will come over but it looks like they're finishing up so maybe like five minutes or something.", "raw_text": "Will come over but it looks like they're finishing up so maybe like five minutes or something.", "start_time": 198.42, "end_time": 201.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 45, "text": "Okay, cool.", "raw_text": "Okay, cool.", "start_time": 201.46, "end_time": 203.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 46, "text": "The only plat thing, platform thing I had since last week was I was just validating some of the data with mostly focused on like Toggle and QuickBooks.", "raw_text": "The only plat thing, platform thing I had since last week was I was just validating some of the data with mostly focused on like Toggle and QuickBooks.", "start_time": 206.419, "end_time": 219.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 47, "text": "I think that's the highest value add for the work Sam's doing.", "raw_text": "I think that's the highest value add for the work Sam's doing.", "start_time": 219.35, "end_time": 223.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 48, "text": "So we got an interesting issue.", "raw_text": "So we got an interesting issue.", "start_time": 225.95, "end_time": 227.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 49, "text": "I think we'll see this a lot.", "raw_text": "I think we'll see this a lot.", "start_time": 228.91, "end_time": 230.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 50, "text": "So basically like if you're in Toggle and you delete something, there's no delete flag or anything from the next hole of that data.", "raw_text": "So basically like if you're in Toggle and you delete something, there's no delete flag or anything from the next hole of that data.", "start_time": 232.67, "end_time": 242.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 51, "text": "It's just not there.", "raw_text": "It's just not there.", "start_time": 242.94, "end_time": 243.9, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 52, "text": "So we end up with like scaled we data in our silver and gold layer.", "raw_text": "So we end up with like scaled we data in our silver and gold layer.", "start_time": 244.94, "end_time": 249.06, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 53, "text": "There's no like change.", "raw_text": "There's no like change.", "start_time": 249.06, "end_time": 249.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 54, "text": "Well, I guess, yeah.", "raw_text": "Well, I guess, yeah.", "start_time": 249.74, "end_time": 251.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 55, "text": "So there's two I think approaches would be like if you're adhering to True Medallion, you really want that bronze to be like append.", "raw_text": "So there's two I think approaches would be like if you're adhering to True Medallion, you really want that bronze to be like append.", "start_time": 252.3, "end_time": 260.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 56, "text": "So like we're not deleting anything ever.", "raw_text": "So like we're not deleting anything ever.", "start_time": 260.94, "end_time": 262.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 57, "text": "So the one approach was like say we're always going back like 30 days.", "raw_text": "So the one approach was like say we're always going back like 30 days.", "start_time": 263.98, "end_time": 269.42, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 58, "text": "In toggle you would do like a full delete and replace for your latest pool, but not anything previous to 30 days.", "raw_text": "In toggle you would do like a full delete and replace for your latest pool, but not anything previous to 30 days.", "start_time": 269.42, "end_time": 278.9, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 59, "text": "I didn't really like that because I was like kind of breaking some of the patterns.", "raw_text": "I didn't really like that because I was like kind of breaking some of the patterns.", "start_time": 280.34, "end_time": 284.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 60, "text": "I feel like that'd be, would be", "raw_text": "I feel like that'd be, would be", "start_time": 284.22, "end_time": 286.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 61, "text": "doing like one off type things per source.", "raw_text": "doing like one off type things per source.", "start_time": 286.14, "end_time": 288.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 62, "text": "The other approach would be like a True CDC webhook which like Toggle.", "raw_text": "The other approach would be like a True CDC webhook which like Toggle.", "start_time": 290.42, "end_time": 298.23, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 63, "text": "I look at Toggles documentation.", "raw_text": "I look at Toggles documentation.", "start_time": 298.23, "end_time": 299.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 64, "text": "So like Toggle can support like anytime something's deleted, it can send it to us.", "raw_text": "So like Toggle can support like anytime something's deleted, it can send it to us.", "start_time": 300.03, "end_time": 304.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 65, "text": "So I've started to prototype that out as an approach and I think that would be a decent addition to our data platform anyway because that'll give us like real time updates for data between pools.", "raw_text": "So I've started to prototype that out as an approach and I think that would be a decent addition to our data platform anyway because that'll give us like real time updates for data between pools.", "start_time": 305.23, "end_time": 322.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 66, "text": "How would that work again?", "raw_text": "How would that work again?", "start_time": 324.11, "end_time": 325.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 67, "text": "What's that?", "raw_text": "What's that?", "start_time": 326.35, "end_time": 326.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 68, "text": "So basically I mean this will be dependent on if the source platform has the ability to do it.", "raw_text": "So basically I mean this will be dependent on if the source platform has the ability to do it.", "start_time": 329.55, "end_time": 334.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 69, "text": "But Toggle, you can register a web hook to point to like our data platform and then that will let us know when anything was deleted or changed or updated.", "raw_text": "But Toggle, you can register a web hook to point to like our data platform and then that will let us know when anything was deleted or changed or updated.", "start_time": 334.95, "end_time": 345.55, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 70, "text": "Gotcha.", "raw_text": "Gotcha.", "start_time": 346.27, "end_time": 346.87, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 71, "text": "And then I'm not altering the bronze layer still.", "raw_text": "And then I'm not altering the bronze layer still.", "start_time": 346.87, "end_time": 351.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 72, "text": "I'm just, I'm just a handling that in the silver layer.", "raw_text": "I'm just, I'm just a handling that in the silver layer.", "start_time": 351.84, "end_time": 356.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 73, "text": "So it would like mark the entry as like Deleted or something.", "raw_text": "So it would like mark the entry as like Deleted or something.", "start_time": 356.12, "end_time": 363.08, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 74, "text": "So we would need.", "raw_text": "So we would need.", "start_time": 365.16, "end_time": 366.04, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 75, "text": "We probably need to get a few of these under our belt to, like, find some common denominator.", "raw_text": "We probably need to get a few of these under our belt to, like, find some common denominator.", "start_time": 366.68, "end_time": 370.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 76, "text": "It's probably, like, overly opinionated for this toggle workflow, but I feel like it's something that is going to come up.", "raw_text": "It's probably, like, overly opinionated for this toggle workflow, but I feel like it's something that is going to come up.", "start_time": 371.32, "end_time": 378.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 77, "text": "We actually deal with the same exact issue with epic and risk LD.", "raw_text": "We actually deal with the same exact issue with epic and risk LD.", "start_time": 379.26, "end_time": 383.74, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 78, "text": "Like the FHIR APIs.", "raw_text": "Like the FHIR APIs.", "start_time": 384.38, "end_time": 386.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 79, "text": "Like, if a clinician charts something and deletes it, like, there is no tracking of a deleted record in fhir.", "raw_text": "Like, if a clinician charts something and deletes it, like, there is no tracking of a deleted record in fhir.", "start_time": 386.86, "end_time": 393.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 80, "text": "Right.", "raw_text": "Right.", "start_time": 394.78, "end_time": 395.18, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 81, "text": "It's not like a soft delete.", "raw_text": "It's not like a soft delete.", "start_time": 395.26, "end_time": 396.5, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 82, "text": "It's just gone.", "raw_text": "It's just gone.", "start_time": 396.5, "end_time": 397.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 83, "text": "Yeah, it's just gone.", "raw_text": "Yeah, it's just gone.", "start_time": 397.22, "end_time": 398.62, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 84, "text": "So then you have to even like, make the leap of faith to say, like, this latest thing I get from this endpoint is the source of truth in any data that I have in my system that doesn't match this is false and delete it.", "raw_text": "So then you have to even like, make the leap of faith to say, like, this latest thing I get from this endpoint is the source of truth in any data that I have in my system that doesn't match this is false and delete it.", "start_time": 399.1, "end_time": 412.28, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 85, "text": "Or you, like, log in Risk ld, we just ignore it.", "raw_text": "Or you, like, log in Risk ld, we just ignore it.", "start_time": 413, "end_time": 416.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 86, "text": "Basically.", "raw_text": "Basically.", "start_time": 416.44, "end_time": 416.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 87, "text": "We say, like, we just tell people, like, if you delete stuff and we fired an alert off of your deleted data, like, it's prone to just being stale.", "raw_text": "We say, like, we just tell people, like, if you delete stuff and we fired an alert off of your deleted data, like, it's prone to just being stale.", "start_time": 416.84, "end_time": 425.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 88, "text": "That's on you.", "raw_text": "That's on you.", "start_time": 425.96, "end_time": 426.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 89, "text": "Yeah, that's your problem.", "raw_text": "Yeah, that's your problem.", "start_time": 426.92, "end_time": 428.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 90, "text": "But it messes up.", "raw_text": "But it messes up.", "start_time": 429.64, "end_time": 431.36, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 91, "text": "Like, I would say we were like 99.9% on Toggle, except for like four data entries, and they're like, deleted.", "raw_text": "Like, I would say we were like 99.9% on Toggle, except for like four data entries, and they're like, deleted.", "start_time": 431.36, "end_time": 440.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 92, "text": "Just deleted things.", "raw_text": "Just deleted things.", "start_time": 440.63, "end_time": 441.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 93, "text": "Okay.", "raw_text": "Okay.", "start_time": 442.03, "end_time": 442.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 94, "text": "So yeah, we.", "raw_text": "So yeah, we.", "start_time": 444.27, "end_time": 445.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 95, "text": "We need a system for that.", "raw_text": "We need a system for that.", "start_time": 445.31, "end_time": 446.51, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 96, "text": "But I mean, I feel like if we were to try, like, do that, wire that up, it'll be a worthwhile endeavor to just have it sort of, you know, scaffold it for the rest of our integrations too.", "raw_text": "But I mean, I feel like if we were to try, like, do that, wire that up, it'll be a worthwhile endeavor to just have it sort of, you know, scaffold it for the rest of our integrations too.", "start_time": 446.51, "end_time": 457.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 97, "text": "Right.", "raw_text": "Right.", "start_time": 457.91, "end_time": 458.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 98, "text": "So.", "raw_text": "So.", "start_time": 458.35, "end_time": 458.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 99, "text": "Yeah, yeah, we.", "raw_text": "Yeah, yeah, we.", "start_time": 459.23, "end_time": 460.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 100, "text": "We should figure it out.", "raw_text": "We should figure it out.", "start_time": 460.67, "end_time": 461.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 101, "text": "Yep.", "raw_text": "Yep.", "start_time": 462.51, "end_time": 462.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 102, "text": "So I have a POC for it.", "raw_text": "So I have a POC for it.", "start_time": 463.95, "end_time": 466.19, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 103, "text": "Cool.", "raw_text": "Cool.", "start_time": 466.67, "end_time": 467.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 104, "text": "And then, like I said, I think as we get, like, more of those patterns under our belt, we'll probably get to, like, a common abstracted implementation that actually will work.", "raw_text": "And then, like I said, I think as we get, like, more of those patterns under our belt, we'll probably get to, like, a common abstracted implementation that actually will work.", "start_time": 468.11, "end_time": 478.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 105, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 479.15, "end_time": 479.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 106, "text": "And we may need in our back pocket, I think, like, the ability to say.", "raw_text": "And we may need in our back pocket, I think, like, the ability to say.", "start_time": 479.63, "end_time": 487.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 107, "text": "Because the other game plan when I was.", "raw_text": "Because the other game plan when I was.", "start_time": 488.6, "end_time": 489.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 108, "text": "I was.", "raw_text": "I was.", "start_time": 489.96, "end_time": 490.36, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 109, "text": "I was batting around with plug was like, say, in cursor.", "raw_text": "I was batting around with plug was like, say, in cursor.", "start_time": 490.36, "end_time": 495.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 110, "text": "In Toggle, they have this concept of like a cursor.", "raw_text": "In Toggle, they have this concept of like a cursor.", "start_time": 495.2, "end_time": 499.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 111, "text": "So, like, when's the last time you pulled data?", "raw_text": "So, like, when's the last time you pulled data?", "start_time": 499.2, "end_time": 501, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 112, "text": "So we have data as of yesterday that went back 30 days.", "raw_text": "So we have data as of yesterday that went back 30 days.", "start_time": 502.84, "end_time": 508.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 113, "text": "And then, like, it just makes sure it, like, there's some overlap in case there's deletes happening.", "raw_text": "And then, like, it just makes sure it, like, there's some overlap in case there's deletes happening.", "start_time": 508.32, "end_time": 513.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 114, "text": "But it's not like pulling a full pull every time.", "raw_text": "But it's not like pulling a full pull every time.", "start_time": 513.98, "end_time": 516.14, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 115, "text": "This is in foundation right now.", "raw_text": "This is in foundation right now.", "start_time": 517.66, "end_time": 518.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 518.98, "end_time": 519.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 117, "text": "This is like when we load it", "raw_text": "This is like when we load it", "start_time": 519.38, "end_time": 521.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 118, "text": "in, like, our nightly data pool from Dagster kicks off the other way would be like, okay.", "raw_text": "in, like, our nightly data pool from Dagster kicks off the other way would be like, okay.", "start_time": 521.06, "end_time": 529.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 119, "text": "For this pool, it's a full delete replace and then you get some.", "raw_text": "For this pool, it's a full delete replace and then you get some.", "start_time": 529.58, "end_time": 534.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 120, "text": "Yeah, you're breaking kind of like the medallion pattern a little bit because now we don't have like the fly number of what was actually there yesterday.", "raw_text": "Yeah, you're breaking kind of like the medallion pattern a little bit because now we don't have like the fly number of what was actually there yesterday.", "start_time": 535.34, "end_time": 543.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 121, "text": "But that would also fix it would treat like the new data as like the source of truth from that source system rather than us appending all the time.", "raw_text": "But that would also fix it would treat like the new data as like the source of truth from that source system rather than us appending all the time.", "start_time": 543.15, "end_time": 552.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 122, "text": "Maybe stupid question, but when you do something like this, are you really just concerned with like the data that comes into bronze because they don't like, scaffold up or do you have to like, check this at like bronze, silver?", "raw_text": "Maybe stupid question, but when you do something like this, are you really just concerned with like the data that comes into bronze because they don't like, scaffold up or do you have to like, check this at like bronze, silver?", "start_time": 552.07, "end_time": 559.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "You really shouldn't be all that concerned with like, bronze is like made to be duplicate.", "raw_text": "You really shouldn't be all that concerned with like, bronze is like made to be duplicate.", "start_time": 561.27, "end_time": 566.24, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 124, "text": "You're really, you're really still just considered with the gold table.", "raw_text": "You're really, you're really still just considered with the gold table.", "start_time": 567.28, "end_time": 570.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 125, "text": "But you can like fix it.", "raw_text": "But you can like fix it.", "start_time": 570.08, "end_time": 571.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 126, "text": "Well, silver and be.", "raw_text": "Well, silver and be.", "start_time": 571.04, "end_time": 572, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 127, "text": "Silver would be like, it's representative of its true data.", "raw_text": "Silver would be like, it's representative of its true data.", "start_time": 572, "end_time": 578.08, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 128, "text": "Okay.", "raw_text": "Okay.", "start_time": 578.24, "end_time": 578.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 129, "text": "But it may not be like joined into its final form the way gold does.", "raw_text": "But it may not be like joined into its final form the way gold does.", "start_time": 578.68, "end_time": 582.64, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 130, "text": "Like, it's just like still somewhat single source, but cleaned.", "raw_text": "Like, it's just like still somewhat single source, but cleaned.", "start_time": 582.72, "end_time": 589.04, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 131, "text": "It should almost be a straight line", "raw_text": "It should almost be a straight line", "start_time": 589.6, "end_time": 591.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 132, "text": "between bronze and silver.", "raw_text": "between bronze and silver.", "start_time": 591.6, "end_time": 593.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 133, "text": "And then like a bunch of transformations that cleans the data up.", "raw_text": "And then like a bunch of transformations that cleans the data up.", "start_time": 594.24, "end_time": 596.88, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 134, "text": "And then from silver to go, it could be a bunch of crossing lines, like a single source, three different go tables for different reasons or whatever.", "raw_text": "And then from silver to go, it could be a bunch of crossing lines, like a single source, three different go tables for different reasons or whatever.", "start_time": 596.88, "end_time": 605.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 135, "text": "So that was the only thing I was really battling just in terms of like going through our data and seeing just what I haven't gotten to like out of Toggle.", "raw_text": "So that was the only thing I was really battling just in terms of like going through our data and seeing just what I haven't gotten to like out of Toggle.", "start_time": 608.72, "end_time": 618.72, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 136, "text": "But I'm sure there's on Earth other similar things in like QuickBooks and linear and GitHub, so.", "raw_text": "But I'm sure there's on Earth other similar things in like QuickBooks and linear and GitHub, so.", "start_time": 618.72, "end_time": 626.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 137, "text": "Yeah, I would imagine so.", "raw_text": "Yeah, I would imagine so.", "start_time": 626.25, "end_time": 627.61, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 138, "text": "I definitely would imagine so.", "raw_text": "I definitely would imagine so.", "start_time": 627.69, "end_time": 629.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 139, "text": "I haven't had a lot of time.", "raw_text": "I haven't had a lot of time.", "start_time": 629.45, "end_time": 632.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 140, "text": "Yes.", "raw_text": "Yes.", "start_time": 633.37, "end_time": 633.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 141, "text": "Between Odie and, you know, to be quite frank, like automatic got really busy last week and so I'm like reeling in post that it's getting more normalized now.", "raw_text": "Between Odie and, you know, to be quite frank, like automatic got really busy last week and so I'm like reeling in post that it's getting more normalized now.", "start_time": 635.13, "end_time": 647.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 142, "text": "But yeah, so I, I'm.", "raw_text": "But yeah, so I, I'm.", "start_time": 648.59, "end_time": 650.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 143, "text": "I'm pretty swamped on Odie getting OD in a good spot.", "raw_text": "I'm pretty swamped on Odie getting OD in a good spot.", "start_time": 650.11, "end_time": 653.23, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 144, "text": "I think the guys are getting there.", "raw_text": "I think the guys are getting there.", "start_time": 653.39, "end_time": 655.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 145, "text": "But I'll probably be in tomorrow pretty much all day and do some GSDs with folks to just like make sure we are all aligned and starting to march.", "raw_text": "But I'll probably be in tomorrow pretty much all day and do some GSDs with folks to just like make sure we are all aligned and starting to march.", "start_time": 656.03, "end_time": 664.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 146, "text": "Because I, I think there's just like", "raw_text": "Because I, I think there's just like", "start_time": 664.91, "end_time": 666.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 147, "text": "some pieces where there's some clarity.", "raw_text": "some pieces where there's some clarity.", "start_time": 666.59, "end_time": 668.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 148, "text": "Everyone's saying, yeah, that makes sense, but they don't seem to be that sure about it.", "raw_text": "Everyone's saying, yeah, that makes sense, but they don't seem to be that sure about it.", "start_time": 668.11, "end_time": 671.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 149, "text": "So.", "raw_text": "So.", "start_time": 671.99, "end_time": 672.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 150, "text": "So I want to just, you know, handle that.", "raw_text": "So I want to just, you know, handle that.", "start_time": 673.55, "end_time": 676.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 151, "text": "But other than that, I mean, I think we're, you know, pretty much cleaned up on the back end op stuff.", "raw_text": "But other than that, I mean, I think we're, you know, pretty much cleaned up on the back end op stuff.", "start_time": 678.59, "end_time": 684.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 152, "text": "I do think, like, there's all the design questions that we had still of like how we're going to do the multi tenant deploys and all of that stuff and like happy to jump in and support with that any way I can.", "raw_text": "I do think, like, there's all the design questions that we had still of like how we're going to do the multi tenant deploys and all of that stuff and like happy to jump in and support with that any way I can.", "start_time": 684.47, "end_time": 696.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 153, "text": "I will say like, and this is kind of random.", "raw_text": "I will say like, and this is kind of random.", "start_time": 699.15, "end_time": 701.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 154, "text": "Just popped on my feed the other day and I was like I need to watch this.", "raw_text": "Just popped on my feed the other day and I was like I need to watch this.", "start_time": 703.35, "end_time": 706.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 155, "text": "But I don't know if anyone's looked into like Deno deploy or if it'll even work for us, but they have", "raw_text": "But I don't know if anyone's looked into like Deno deploy or if it'll even work for us, but they have", "start_time": 706.27, "end_time": 712.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 156, "text": "something right now that's really centered on", "raw_text": "something right now that's really centered on", "start_time": 712.07, "end_time": 713.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 157, "text": "deployment for platforms and so they have this sub deploy or something like that where it's designed to help manage deployment of multiple versions of the same code base for different customers or whatever.", "raw_text": "deployment for platforms and so they have this sub deploy or something like that where it's designed to help manage deployment of multiple versions of the same code base for different customers or whatever.", "start_time": 714.55, "end_time": 728.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 158, "text": "I think that's what it's for.", "raw_text": "I think that's what it's for.", "start_time": 729.03, "end_time": 730.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 159, "text": "At least that's how I kind of saw the Spark notes or that's how the the thumbnail on YouTube's made it seem.", "raw_text": "At least that's how I kind of saw the Spark notes or that's how the the thumbnail on YouTube's made it seem.", "start_time": 730.07, "end_time": 736.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 160, "text": "It could be for something totally different.", "raw_text": "It could be for something totally different.", "start_time": 737.33, "end_time": 738.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 161, "text": "So check it out.", "raw_text": "So check it out.", "start_time": 739.09, "end_time": 739.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 162, "text": "But it's been on my list to check out for the last few days especially I think it relates to like running arbitrary code from clients as well.", "raw_text": "But it's been on my list to check out for the last few days especially I think it relates to like running arbitrary code from clients as well.", "start_time": 739.93, "end_time": 747.89, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 163, "text": "Which we also again, if Safeguard wants to be able to deploy or create stuff or I don't know.", "raw_text": "Which we also again, if Safeguard wants to be able to deploy or create stuff or I don't know.", "start_time": 747.89, "end_time": 753.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 164, "text": "So just something for us to look into.", "raw_text": "So just something for us to look into.", "start_time": 753.05, "end_time": 754.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 165, "text": "It might be helpful, it might not be.", "raw_text": "It might be helpful, it might not be.", "start_time": 754.65, "end_time": 756.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 166, "text": "But yeah, I would be happy to jump in on the CICD stuff if that's where I can be helpful or there's other areas I should be helpful.", "raw_text": "But yeah, I would be happy to jump in on the CICD stuff if that's where I can be helpful or there's other areas I should be helpful.", "start_time": 757.25, "end_time": 764.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 167, "text": "Let me know.", "raw_text": "Let me know.", "start_time": 764.84, "end_time": 765.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 168, "text": "Did you.", "raw_text": "Did you.", "start_time": 768.36, "end_time": 768.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 169, "text": "We kind of started and then we pulled you in but you could supersede what we want to talk about if you're anything for Safeguard.", "raw_text": "We kind of started and then we pulled you in but you could supersede what we want to talk about if you're anything for Safeguard.", "start_time": 768.8, "end_time": 774.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 170, "text": "But other stuff like worth talking about would be.", "raw_text": "But other stuff like worth talking about would be.", "start_time": 774.08, "end_time": 776.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 171, "text": "I mentioned the Vercel project for staging and multi environments that you and I had kind of talked about.", "raw_text": "I mentioned the Vercel project for staging and multi environments that you and I had kind of talked about.", "start_time": 777.079, "end_time": 784.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 172, "text": "Yeah, we can talk about that and also like longer repo if we want to do the data platform then I have some thoughts coming after the use case meeting you, Justin, me, Paul and Sam did.", "raw_text": "Yeah, we can talk about that and also like longer repo if we want to do the data platform then I have some thoughts coming after the use case meeting you, Justin, me, Paul and Sam did.", "start_time": 784.52, "end_time": 794.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 173, "text": "Maybe that's not this meeting but I guess some thoughts on that that would be useful.", "raw_text": "Maybe that's not this meeting but I guess some thoughts on that that would be useful.", "start_time": 794.41, "end_time": 797.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 174, "text": "The other thing that I'm going to be working on currently is like I got.", "raw_text": "The other thing that I'm going to be working on currently is like I got.", "start_time": 798.69, "end_time": 801.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 175, "text": "We got Reed here for the next couple weeks so I was going to get him up to par in foundation and start working on like video demos.", "raw_text": "We got Reed here for the next couple weeks so I was going to get him up to par in foundation and start working on like video demos.", "start_time": 801.33, "end_time": 807.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 176, "text": "Marketing.", "raw_text": "Marketing.", "start_time": 807.21, "end_time": 807.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "Probably not top priority either.", "raw_text": "Probably not top priority either.", "start_time": 808.05, "end_time": 809.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 178, "text": "But I do have like if you need grunt work or me for foundation right now I'm like kind of just freelancing between foundation tasks.", "raw_text": "But I do have like if you need grunt work or me for foundation right now I'm like kind of just freelancing between foundation tasks.", "start_time": 809.77, "end_time": 816.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 179, "text": "So if there's like something that's important priority and you need me on it, let me know, but that would probably be on Murph side if anything is okay.", "raw_text": "So if there's like something that's important priority and you need me on it, let me know, but that would probably be on Murph side if anything is okay.", "start_time": 816.93, "end_time": 824.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 180, "text": "Yeah, on the safeguard side I'm just very like application focused right now.", "raw_text": "Yeah, on the safeguard side I'm just very like application focused right now.", "start_time": 825.31, "end_time": 832.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 181, "text": "Workflow builder focused on just like overall cleanup and making sure stuff's working okay.", "raw_text": "Workflow builder focused on just like overall cleanup and making sure stuff's working okay.", "start_time": 832.95, "end_time": 839.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 182, "text": "You know, stuff like we have shared workflows within an organization but if you're not the owner, you can't edit it.", "raw_text": "You know, stuff like we have shared workflows within an organization but if you're not the owner, you can't edit it.", "start_time": 840.91, "end_time": 847.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 183, "text": "It's only read only.", "raw_text": "It's only read only.", "start_time": 847.99, "end_time": 848.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 184, "text": "So like I need to make that, you know, I need to make that edit.", "raw_text": "So like I need to make that, you know, I need to make that edit.", "start_time": 848.99, "end_time": 852.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 185, "text": "So I, I just have a handful of those type of things.", "raw_text": "So I, I just have a handful of those type of things.", "start_time": 854.07, "end_time": 856.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 186, "text": "I, I do have a Safeguard instance provisions.", "raw_text": "I, I do have a Safeguard instance provisions.", "start_time": 857.83, "end_time": 861.429, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 187, "text": "They're on the latest foundation got a staging environment set up for them yesterday.", "raw_text": "They're on the latest foundation got a staging environment set up for them yesterday.", "start_time": 861.429, "end_time": 868.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 188, "text": "I'll probably get a staging environment set up for core foundation today or tomorrow.", "raw_text": "I'll probably get a staging environment set up for core foundation today or tomorrow.", "start_time": 868.11, "end_time": 874.81, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 189, "text": "It's nice.", "raw_text": "It's nice.", "start_time": 875.85, "end_time": 876.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 190, "text": "In Vercel you can just create as many custom environments as you want for the same project and the same code base just pointing to different branches and it still uses the cicd and then the environment variables are obviously different.", "raw_text": "In Vercel you can just create as many custom environments as you want for the same project and the same code base just pointing to different branches and it still uses the cicd and then the environment variables are obviously different.", "start_time": 876.49, "end_time": 890.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 191, "text": "So yeah.", "raw_text": "So yeah.", "start_time": 890.65, "end_time": 891.89, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 192, "text": "And then you can, you can do the same on the Supabase side.", "raw_text": "And then you can, you can do the same on the Supabase side.", "start_time": 891.89, "end_time": 894.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 193, "text": "You can actually create branches, they call them for your database that associate with a branch in the repo.", "raw_text": "You can actually create branches, they call them for your database that associate with a branch in the repo.", "start_time": 894.57, "end_time": 901.54, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 194, "text": "So if you want to do a different branch for demo that has a slightly different schema, like that's possible with all the migrations and stuff.", "raw_text": "So if you want to do a different branch for demo that has a slightly different schema, like that's possible with all the migrations and stuff.", "start_time": 901.7, "end_time": 908.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 195, "text": "We did that before once, but maybe that was something else.", "raw_text": "We did that before once, but maybe that was something else.", "start_time": 910.74, "end_time": 913.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 196, "text": "I heard we talked about it.", "raw_text": "I heard we talked about it.", "start_time": 913.02, "end_time": 914.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 197, "text": "But yeah, and we still have like the preview branch set up with the PRs and spinning up like ad hoc instances, but it doesn't seem like we're really using that right now.", "raw_text": "But yeah, and we still have like the preview branch set up with the PRs and spinning up like ad hoc instances, but it doesn't seem like we're really using that right now.", "start_time": 914.02, "end_time": 922.82, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 198, "text": "We kind of need some hard end environments.", "raw_text": "We kind of need some hard end environments.", "start_time": 922.82, "end_time": 924.74, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 199, "text": "I know for Safeguard we have to have a staging environment because they're going to be able to want to create workflows that aren't live and.", "raw_text": "I know for Safeguard we have to have a staging environment because they're going to be able to want to create workflows that aren't live and.", "start_time": 925.53, "end_time": 932.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 200, "text": "That's kind of where I'm at.", "raw_text": "That's kind of where I'm at.", "start_time": 937.69, "end_time": 939.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 201, "text": "I think.", "raw_text": "I think.", "start_time": 939.29, "end_time": 939.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 202, "text": "A couple questions for me is data platform side.", "raw_text": "A couple questions for me is data platform side.", "start_time": 939.65, "end_time": 947.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 203, "text": "I know we talked about maybe pulling that into the same repo or how we want to manage that and then some of the multi tenant stuff is kind of just outstanding.", "raw_text": "I know we talked about maybe pulling that into the same repo or how we want to manage that and then some of the multi tenant stuff is kind of just outstanding.", "start_time": 948.09, "end_time": 958.92, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 204, "text": "Like we haven't, I haven't done anything on that front because I've just been working on the app side.", "raw_text": "Like we haven't, I haven't done anything on that front because I've just been working on the app side.", "start_time": 958.92, "end_time": 963.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 205, "text": "But yeah, I think we maybe need to at some point.", "raw_text": "But yeah, I think we maybe need to at some point.", "start_time": 963.8, "end_time": 967.08, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 206, "text": "I'm starting to get to the point where I'm looking at our admin console where it's a little unique for Safeguard because they're.", "raw_text": "I'm starting to get to the point where I'm looking at our admin console where it's a little unique for Safeguard because they're.", "start_time": 967.08, "end_time": 974.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 207, "text": "We're not deploying the data platform forum now.", "raw_text": "We're not deploying the data platform forum now.", "start_time": 974.68, "end_time": 978.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 208, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 979.25, "end_time": 979.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 209, "text": "So there's, there's a lot in there.", "raw_text": "So there's, there's a lot in there.", "start_time": 980.37, "end_time": 981.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 210, "text": "I think that it's just gonna Confuse them or not make sense to them.", "raw_text": "I think that it's just gonna Confuse them or not make sense to them.", "start_time": 981.93, "end_time": 985.81, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 211, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 986.21, "end_time": 986.77, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 212, "text": "So I, I don't know.", "raw_text": "So I, I don't know.", "start_time": 986.77, "end_time": 987.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 213, "text": "I mean maybe we, I, I'll see what it would look like, but maybe we can add some feature flags in there for the data platform just to say, hey, if this flag's off, like hide these screens.", "raw_text": "I mean maybe we, I, I'll see what it would look like, but maybe we can add some feature flags in there for the data platform just to say, hey, if this flag's off, like hide these screens.", "start_time": 987.97, "end_time": 998.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 214, "text": "Yeah, the upsell thing too.", "raw_text": "Yeah, the upsell thing too.", "start_time": 999.25, "end_time": 1001.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 215, "text": "Right?", "raw_text": "Right?", "start_time": 1001.65, "end_time": 1002.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 216, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1002.05, "end_time": 1002.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 217, "text": "Contact so and so to learn more about this.", "raw_text": "Contact so and so to learn more about this.", "start_time": 1004.22, "end_time": 1007.58, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 218, "text": "Yeah, I like that.", "raw_text": "Yeah, I like that.", "start_time": 1007.66, "end_time": 1008.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 219, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1008.54, "end_time": 1009.1, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 220, "text": "And I haven't been there and all in there in a while, so it may just be fine as is.", "raw_text": "And I haven't been there and all in there in a while, so it may just be fine as is.", "start_time": 1009.1, "end_time": 1012.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 221, "text": "Honestly, did you end up merging your", "raw_text": "Honestly, did you end up merging your", "start_time": 1013.26, "end_time": 1015.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 222, "text": "screens in the main yet?", "raw_text": "screens in the main yet?", "start_time": 1015.38, "end_time": 1016.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 223, "text": "Yeah, I'm more worried about.", "raw_text": "Yeah, I'm more worried about.", "start_time": 1016.78, "end_time": 1019.5, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 224, "text": "I just want them to be able to like manage users and stuff like that.", "raw_text": "I just want them to be able to like manage users and stuff like that.", "start_time": 1019.5, "end_time": 1022.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 225, "text": "That's what's most important.", "raw_text": "That's what's most important.", "start_time": 1023.18, "end_time": 1024.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 226, "text": "If they're just using a front end app, it's almost like there should be somewhat of a admin experience just focused on that.", "raw_text": "If they're just using a front end app, it's almost like there should be somewhat of a admin experience just focused on that.", "start_time": 1024.3, "end_time": 1030.79, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 227, "text": "Right?", "raw_text": "Right?", "start_time": 1030.87, "end_time": 1031.19, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 228, "text": "Like team management experience.", "raw_text": "Like team management experience.", "start_time": 1031.19, "end_time": 1032.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 229, "text": "So.", "raw_text": "So.", "start_time": 1035.03, "end_time": 1035.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 230, "text": "Yeah, I agree with that.", "raw_text": "Yeah, I agree with that.", "start_time": 1035.27, "end_time": 1036.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 231, "text": "I mean I, I can commit to taking like a few hours this week to really just look at the like merging of the worlds and figure out what that would look like.", "raw_text": "I mean I, I can commit to taking like a few hours this week to really just look at the like merging of the worlds and figure out what that would look like.", "start_time": 1036.43, "end_time": 1048.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 232, "text": "I also could take a few hours", "raw_text": "I also could take a few hours", "start_time": 1048.03, "end_time": 1049.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 233, "text": "this week to look at the admin portal.", "raw_text": "this week to look at the admin portal.", "start_time": 1049.39, "end_time": 1051.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 234, "text": "I guess like when you're where you're", "raw_text": "I guess like when you're where you're", "start_time": 1051.19, "end_time": 1053.83, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 235, "text": "sitting, Murph, like what would be most", "raw_text": "sitting, Murph, like what would be most", "start_time": 1053.83, "end_time": 1055.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "helpful for me to take on?", "raw_text": "helpful for me to take on?", "start_time": 1055.19, "end_time": 1057.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 237, "text": "Because I know you're deep in a weeds of safeguard.", "raw_text": "Because I know you're deep in a weeds of safeguard.", "start_time": 1058.09, "end_time": 1060.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 238, "text": "I don't want to do work that you're going to end up redoing on that front.", "raw_text": "I don't want to do work that you're going to end up redoing on that front.", "start_time": 1060.05, "end_time": 1062.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 239, "text": "So you let me know if you want me to take a stab at", "raw_text": "So you let me know if you want me to take a stab at", "start_time": 1063.45, "end_time": 1066.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 240, "text": "admin or a multi tenant.", "raw_text": "admin or a multi tenant.", "start_time": 1066.13, "end_time": 1068.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 241, "text": "Yeah, I think.", "raw_text": "Yeah, I think.", "start_time": 1069.45, "end_time": 1070.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 242, "text": "Admin or multi tenant or mono repo.", "raw_text": "Admin or multi tenant or mono repo.", "start_time": 1074.65, "end_time": 1077.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 243, "text": "Like yeah, probably the mono repo would be like okay, somewhere at least like that would separate us the most.", "raw_text": "Like yeah, probably the mono repo would be like okay, somewhere at least like that would separate us the most.", "start_time": 1077.45, "end_time": 1083.64, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 244, "text": "And then at least for me, I think cleaning up admin would, would be next and I'll, I'll probably, that'll probably just be on my list and then maybe we can meet in the middle on like whoever gets to multi tenant stuff later.", "raw_text": "And then at least for me, I think cleaning up admin would, would be next and I'll, I'll probably, that'll probably just be on my list and then maybe we can meet in the middle on like whoever gets to multi tenant stuff later.", "start_time": 1085.08, "end_time": 1099, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 245, "text": "I can, I can do multi tenant.", "raw_text": "I can, I can do multi tenant.", "start_time": 1099.16, "end_time": 1100.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 246, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1100.64, "end_time": 1101, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 247, "text": "It's not like the highest priority in the world because we can just create a single word and.", "raw_text": "It's not like the highest priority in the world because we can just create a single word and.", "start_time": 1101.08, "end_time": 1104.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 248, "text": "But if it's something we want to clean up and get rid of a bunch of extra code.", "raw_text": "But if it's something we want to clean up and get rid of a bunch of extra code.", "start_time": 1104.68, "end_time": 1108.52, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 249, "text": "Yeah, for sure.", "raw_text": "Yeah, for sure.", "start_time": 1109.21, "end_time": 1111.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 250, "text": "Cool.", "raw_text": "Cool.", "start_time": 1111.53, "end_time": 1112.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 251, "text": "All right.", "raw_text": "All right.", "start_time": 1113.77, "end_time": 1114.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 252, "text": "I think what else?", "raw_text": "I think what else?", "start_time": 1119.77, "end_time": 1120.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 253, "text": "I do have a branch started to bring in the foundation agent that we use in chat as a node in the workflow builder.", "raw_text": "I do have a branch started to bring in the foundation agent that we use in chat as a node in the workflow builder.", "start_time": 1129.29, "end_time": 1137.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 254, "text": "So you can do some, I mean think of the N8N like AI agent so you can do some more non deterministic stuff for a node.", "raw_text": "So you can do some, I mean think of the N8N like AI agent so you can do some more non deterministic stuff for a node.", "start_time": 1138.89, "end_time": 1148.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 255, "text": "Do you want to hand that off to Kaden?", "raw_text": "Do you want to hand that off to Kaden?", "start_time": 1149.45, "end_time": 1151.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "I think that would be a good one too.", "raw_text": "I think that would be a good one too.", "start_time": 1152.01, "end_time": 1153.69, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 257, "text": "Yeah, I could do that.", "raw_text": "Yeah, I could do that.", "start_time": 1153.769, "end_time": 1154.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 258, "text": "Yeah, I could do that.", "raw_text": "Yeah, I could do that.", "start_time": 1154.53, "end_time": 1155.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 259, "text": "I'm not sure you're gonna get to it this week.", "raw_text": "I'm not sure you're gonna get to it this week.", "start_time": 1155.05, "end_time": 1157.77, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 260, "text": "It's.", "raw_text": "It's.", "start_time": 1158.17, "end_time": 1158.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 261, "text": "It's in flight right now.", "raw_text": "It's in flight right now.", "start_time": 1158.81, "end_time": 1160.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 262, "text": "I'll let you know if it makes sense to hand off.", "raw_text": "I'll let you know if it makes sense to hand off.", "start_time": 1160.57, "end_time": 1162.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 263, "text": "I let the agent take the first pass based on my plan.", "raw_text": "I let the agent take the first pass based on my plan.", "start_time": 1163.05, "end_time": 1165.85, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 264, "text": "So yeah, see where it is after that.", "raw_text": "So yeah, see where it is after that.", "start_time": 1165.85, "end_time": 1168.37, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 265, "text": "I want to open claw version.", "raw_text": "I want to open claw version.", "start_time": 1168.37, "end_time": 1170.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 266, "text": "I'll do that.", "raw_text": "I'll do that.", "start_time": 1170.31, "end_time": 1171.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 267, "text": "Man, I sell.", "raw_text": "Man, I sell.", "start_time": 1175.19, "end_time": 1176.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 268, "text": "I. I think most underrated technology is that Versal Sandbox SDK.", "raw_text": "I. I think most underrated technology is that Versal Sandbox SDK.", "start_time": 1176.15, "end_time": 1180.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 269, "text": "I think so too.", "raw_text": "I think so too.", "start_time": 1180.35, "end_time": 1181.19, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 270, "text": "That thing is Sweet Notion came out and said like, all their workers run on it.", "raw_text": "That thing is Sweet Notion came out and said like, all their workers run on it.", "start_time": 1181.19, "end_time": 1185.87, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 271, "text": "Like, oh really?", "raw_text": "Like, oh really?", "start_time": 1185.87, "end_time": 1188.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 272, "text": "Like every single thing that they do that's like agentic is all through Versals sandbox.", "raw_text": "Like every single thing that they do that's like agentic is all through Versals sandbox.", "start_time": 1188.15, "end_time": 1192.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 273, "text": "That's what I want to run through the next version.", "raw_text": "That's what I want to run through the next version.", "start_time": 1193.27, "end_time": 1195.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 274, "text": "Spark.", "raw_text": "Spark.", "start_time": 1195.83, "end_time": 1196.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 275, "text": "I want to run through a sandbox.", "raw_text": "I want to run through a sandbox.", "start_time": 1196.9, "end_time": 1198.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 276, "text": "Yeah, I was like looking into like", "raw_text": "Yeah, I was like looking into like", "start_time": 1198.5, "end_time": 1200.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "each agent run PR would be like a sandbox stand up so they can verify and test in like an actual dev environment.", "raw_text": "each agent run PR would be like a sandbox stand up so they can verify and test in like an actual dev environment.", "start_time": 1201.14, "end_time": 1207.14, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 278, "text": "Well, I was thinking about doing some of that anyways because, like I took like the tasks that we talked about in the meeting.", "raw_text": "Well, I was thinking about doing some of that anyways because, like I took like the tasks that we talked about in the meeting.", "start_time": 1207.78, "end_time": 1213.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 279, "text": "So Dave, we Talked about like 22, 21 use cases in our meeting.", "raw_text": "So Dave, we Talked about like 22, 21 use cases in our meeting.", "start_time": 1213.3, "end_time": 1217.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 280, "text": "We put them on like the board, like impact versus effort.", "raw_text": "We put them on like the board, like impact versus effort.", "start_time": 1217.18, "end_time": 1219.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 281, "text": "And this was all mostly like sales and like project management stuff.", "raw_text": "And this was all mostly like sales and like project management stuff.", "start_time": 1219.9, "end_time": 1223.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 282, "text": "I think between all the 21 problems, it comes down to like four things and it's basically like deal intelligence for like quoting, pulling in all that type of stuff.", "raw_text": "I think between all the 21 problems, it comes down to like four things and it's basically like deal intelligence for like quoting, pulling in all that type of stuff.", "start_time": 1223.51, "end_time": 1233.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 283, "text": "Project operations, it's like a hub for resource planning, how projects are going.", "raw_text": "Project operations, it's like a hub for resource planning, how projects are going.", "start_time": 1233.91, "end_time": 1238.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 284, "text": "Gantt charts business operations for like the profitability of it and then like spark and then it's just a few integrations for those and then just start adding skills and tasks.", "raw_text": "Gantt charts business operations for like the profitability of it and then like spark and then it's just a few integrations for those and then just start adding skills and tasks.", "start_time": 1238.11, "end_time": 1246.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 285, "text": "So like, that's what if I.", "raw_text": "So like, that's what if I.", "start_time": 1246.95, "end_time": 1248.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 286, "text": "If I don't get needed.", "raw_text": "If I don't get needed.", "start_time": 1248.59, "end_time": 1249.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 287, "text": "Foundation things.", "raw_text": "Foundation things.", "start_time": 1249.8, "end_time": 1250.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 288, "text": "I was just building out how we could do that and then might be worth a separate meeting.", "raw_text": "I was just building out how we could do that and then might be worth a separate meeting.", "start_time": 1250.36, "end_time": 1256.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "But that's where it's like.", "raw_text": "But that's where it's like.", "start_time": 1256.44, "end_time": 1257.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "I see this as like three different ways we can do it.", "raw_text": "I see this as like three different ways we can do it.", "start_time": 1258, "end_time": 1260.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "One is you just pointed a SharePoint folder.", "raw_text": "One is you just pointed a SharePoint folder.", "start_time": 1260.4, "end_time": 1262.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 292, "text": "You do this all with prompts.", "raw_text": "You do this all with prompts.", "start_time": 1262.76, "end_time": 1264, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 293, "text": "You plug that folder into Cloud cowork and we just clock cowork Everything with SOPs.", "raw_text": "You plug that folder into Cloud cowork and we just clock cowork Everything with SOPs.", "start_time": 1264.08, "end_time": 1268.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 294, "text": "Like that is a way to accomplish almost all that.", "raw_text": "Like that is a way to accomplish almost all that.", "start_time": 1269.2, "end_time": 1271.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 295, "text": "So on the.", "raw_text": "So on the.", "start_time": 1271.76, "end_time": 1272.64, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 296, "text": "Sorry, I have to cut you off.", "raw_text": "Sorry, I have to cut you off.", "start_time": 1273.52, "end_time": 1274.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 297, "text": "No, that's.", "raw_text": "No, that's.", "start_time": 1274.56, "end_time": 1275.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 298, "text": "That's like.", "raw_text": "That's like.", "start_time": 1275.44, "end_time": 1276.24, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 299, "text": "We should talk to Sam about that too, because he.", "raw_text": "We should talk to Sam about that too, because he.", "start_time": 1277, "end_time": 1279, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 300, "text": "He did a whole cohort thing just on his.", "raw_text": "He did a whole cohort thing just on his.", "start_time": 1279.08, "end_time": 1281.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 301, "text": "On his local that like has a folder for every client and is building out like context for various different things.", "raw_text": "On his local that like has a folder for every client and is building out like context for various different things.", "start_time": 1282.52, "end_time": 1290.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 302, "text": "So he has like.", "raw_text": "So he has like.", "start_time": 1290.12, "end_time": 1290.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 303, "text": "I think I should post.", "raw_text": "I think I should post.", "start_time": 1290.84, "end_time": 1291.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 304, "text": "I think we should host that.", "raw_text": "I think we should host that.", "start_time": 1291.6, "end_time": 1292.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 305, "text": "Yeah, that's what, that's what we were talking about.", "raw_text": "Yeah, that's what, that's what we were talking about.", "start_time": 1292.64, "end_time": 1294.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 306, "text": "Yeah, we were trying to decide that's.", "raw_text": "Yeah, we were trying to decide that's.", "start_time": 1294.28, "end_time": 1296.24, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 307, "text": "That's what Interconnect was like.", "raw_text": "That's what Interconnect was like.", "start_time": 1296.24, "end_time": 1298.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 308, "text": "We had that, we had that hosted from a few months ago.", "raw_text": "We had that, we had that hosted from a few months ago.", "start_time": 1298.76, "end_time": 1301.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 309, "text": "Well, so we, we were gonna.", "raw_text": "Well, so we, we were gonna.", "start_time": 1302.33, "end_time": 1303.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 310, "text": "We're trying to decide if we should put those files in like a Git repo or just have it be in SharePoint or do we want to?", "raw_text": "We're trying to decide if we should put those files in like a Git repo or just have it be in SharePoint or do we want to?", "start_time": 1303.73, "end_time": 1310.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 311, "text": "Well, depending on the versioning and how many people are accessing.", "raw_text": "Well, depending on the versioning and how many people are accessing.", "start_time": 1310.89, "end_time": 1313.69, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 312, "text": "If it's all file system though, I think you're gonna run into RBAC issues like very quickly.", "raw_text": "If it's all file system though, I think you're gonna run into RBAC issues like very quickly.", "start_time": 1313.69, "end_time": 1318.81, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 313, "text": "Well, do you want to use like.", "raw_text": "Well, do you want to use like.", "start_time": 1318.81, "end_time": 1319.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "That's where we were MCP.", "raw_text": "That's where we were MCP.", "start_time": 1319.85, "end_time": 1321.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 315, "text": "We were leaning towards just putting it in SharePoint because then we could at least segment it out by the different technical channels and there's some access controls around it.", "raw_text": "We were leaning towards just putting it in SharePoint because then we could at least segment it out by the different technical channels and there's some access controls around it.", "start_time": 1321.29, "end_time": 1332.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 316, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1332.63, "end_time": 1333.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 317, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 1333.11, "end_time": 1333.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 318, "text": "And I think for this initial version, I don't think it's going to be anything like we wouldn't want anyone else to see in the company.", "raw_text": "And I think for this initial version, I don't think it's going to be anything like we wouldn't want anyone else to see in the company.", "start_time": 1333.75, "end_time": 1340.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 319, "text": "So that's, that's kind of where we were.", "raw_text": "So that's, that's kind of where we were.", "start_time": 1343.27, "end_time": 1345.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 320, "text": "We were headed.", "raw_text": "We were headed.", "start_time": 1345.35, "end_time": 1346.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 321, "text": "So it's just like, hey, everyone can see the contracts, everyone can see how much time is spent on this project for projects you're involved with.", "raw_text": "So it's just like, hey, everyone can see the contracts, everyone can see how much time is spent on this project for projects you're involved with.", "start_time": 1346.03, "end_time": 1354.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 322, "text": "But why not just use the foundation data platform that we already have?", "raw_text": "But why not just use the foundation data platform that we already have?", "start_time": 1354.91, "end_time": 1360.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 323, "text": "Wait, can I interject?", "raw_text": "Wait, can I interject?", "start_time": 1360.83, "end_time": 1362.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "I have a thought.", "raw_text": "I have a thought.", "start_time": 1362.07, "end_time": 1362.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 325, "text": "That's a question for Sam, I think.", "raw_text": "That's a question for Sam, I think.", "start_time": 1363.47, "end_time": 1365.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 326, "text": "Well, actually I might be able to answer that and then tell me if you think this is off.", "raw_text": "Well, actually I might be able to answer that and then tell me if you think this is off.", "start_time": 1365.47, "end_time": 1368.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 327, "text": "But like, the way I see it is like, how much work do we have to do to get it to something that's like, useful.", "raw_text": "But like, the way I see it is like, how much work do we have to do to get it to something that's like, useful.", "start_time": 1368.59, "end_time": 1373.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 328, "text": "And like the easiest thing is if we're already in SharePoint and we just plug in the Cloud Cowork and SharePoint, like, you can start working on it.", "raw_text": "And like the easiest thing is if we're already in SharePoint and we just plug in the Cloud Cowork and SharePoint, like, you can start working on it.", "start_time": 1373.55, "end_time": 1379.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 329, "text": "That's not as good as in foundation.", "raw_text": "That's not as good as in foundation.", "start_time": 1379.63, "end_time": 1381.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 330, "text": "But then like an intermediate step, which I would argue this is probably not even worth our time because we have foundation would be.", "raw_text": "But then like an intermediate step, which I would argue this is probably not even worth our time because we have foundation would be.", "start_time": 1381.23, "end_time": 1386.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 331, "text": "We just put like a dashboard and then we can plug it in.", "raw_text": "We just put like a dashboard and then we can plug it in.", "start_time": 1386.94, "end_time": 1390.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "Because this first step of no foundation is working great for Sam.", "raw_text": "Because this first step of no foundation is working great for Sam.", "start_time": 1390.14, "end_time": 1394.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 333, "text": "Like he, he can do it himself, he can run and go, he can't share it and like it's inaccessible to other people.", "raw_text": "Like he, he can do it himself, he can run and go, he can't share it and like it's inaccessible to other people.", "start_time": 1394.02, "end_time": 1399.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "What's going to happen when someone else is in there screwing up his own.", "raw_text": "What's going to happen when someone else is in there screwing up his own.", "start_time": 1399.3, "end_time": 1402.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 335, "text": "I feel like it's.", "raw_text": "I feel like it's.", "start_time": 1402.3, "end_time": 1403.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "You should have your own folder for that stuff.", "raw_text": "You should have your own folder for that stuff.", "start_time": 1403.06, "end_time": 1405.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 337, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1405.22, "end_time": 1405.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 338, "text": "And maybe there's some shared prompts, but like, if he shares that folder with four people and they're also in there like it's just going to be a nightmare.", "raw_text": "And maybe there's some shared prompts, but like, if he shares that folder with four people and they're also in there like it's just going to be a nightmare.", "start_time": 1406.86, "end_time": 1416.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 339, "text": "Agreed.", "raw_text": "Agreed.", "start_time": 1416.22, "end_time": 1416.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "And so I mean maybe it's a shared and it's just a read only like he's really using it and like automation is running is to build context of stuff.", "raw_text": "And so I mean maybe it's a shared and it's just a read only like he's really using it and like automation is running is to build context of stuff.", "start_time": 1416.9, "end_time": 1426.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 341, "text": "Well actually I, I just read the Claude training on this and I actually really like how they did it and so what they were doing for like skills.", "raw_text": "Well actually I, I just read the Claude training on this and I actually really like how they did it and so what they were doing for like skills.", "start_time": 1426.34, "end_time": 1433.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 342, "text": "For instance you have like your local developer folder and you have like your local skills but same with your context.", "raw_text": "For instance you have like your local developer folder and you have like your local skills but same with your context.", "start_time": 1433.5, "end_time": 1438.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 343, "text": "Then you have project level, then you have enterprise level.", "raw_text": "Then you have project level, then you have enterprise level.", "start_time": 1438.38, "end_time": 1441.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "And anytime you're talking to Claude, if there's a fourth one to plugins.", "raw_text": "And anytime you're talking to Claude, if there's a fourth one to plugins.", "start_time": 1441.06, "end_time": 1445.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 345, "text": "So anytime you're talking to Claude it's priorities go enterprise or one because that's set by your enterprise.", "raw_text": "So anytime you're talking to Claude it's priorities go enterprise or one because that's set by your enterprise.", "start_time": 1445.26, "end_time": 1450.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 346, "text": "Two is by like your team repo project, three is your personal ones and four is your plugin.", "raw_text": "Two is by like your team repo project, three is your personal ones and four is your plugin.", "start_time": 1450.78, "end_time": 1455.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 347, "text": "I think you can switch project personal depending on what you like.", "raw_text": "I think you can switch project personal depending on what you like.", "start_time": 1455.98, "end_time": 1458.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 348, "text": "Yeah but so same thing of like if you're working in a vacuum, you just have your own personal stuff all local.", "raw_text": "Yeah but so same thing of like if you're working in a vacuum, you just have your own personal stuff all local.", "start_time": 1458.7, "end_time": 1463.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 349, "text": "It's working.", "raw_text": "It's working.", "start_time": 1463.3, "end_time": 1463.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 350, "text": "As soon as you want to start sharing it, you're putting like a like a layer on top that kind of like that's what you're using but you still have your own personal stuff underneath.", "raw_text": "As soon as you want to start sharing it, you're putting like a like a layer on top that kind of like that's what you're using but you still have your own personal stuff underneath.", "start_time": 1464.26, "end_time": 1472.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 351, "text": "And you can do that with like the files and the context.", "raw_text": "And you can do that with like the files and the context.", "start_time": 1472.22, "end_time": 1474.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 352, "text": "And so like what a second layer of this would be would be we build out what we would call a first party app on foundation where like we have a triage dashboard of here's quotes available like someone work on it or here's stuff you want to confirm and like we have our back and we all log into there.", "raw_text": "And so like what a second layer of this would be would be we build out what we would call a first party app on foundation where like we have a triage dashboard of here's quotes available like someone work on it or here's stuff you want to confirm and like we have our back and we all log into there.", "start_time": 1474.9, "end_time": 1488.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 353, "text": "Then the third layer is full on foundation pulls everything in single source of truth, MCP access wherever we want it.", "raw_text": "Then the third layer is full on foundation pulls everything in single source of truth, MCP access wherever we want it.", "start_time": 1489.22, "end_time": 1495.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 354, "text": "So I think like the end state would be all of our stuff is accessible R backed and used by anyone to the correct level through foundation.", "raw_text": "So I think like the end state would be all of our stuff is accessible R backed and used by anyone to the correct level through foundation.", "start_time": 1496.15, "end_time": 1503.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "And then Sam wants to use Cowork, you just connect it in there so he can.", "raw_text": "And then Sam wants to use Cowork, you just connect it in there so he can.", "start_time": 1503.91, "end_time": 1508.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 356, "text": "You can continue to use Cowork or if we want to have that triage dashboard or like we want to send stuff back and forth.", "raw_text": "You can continue to use Cowork or if we want to have that triage dashboard or like we want to send stuff back and forth.", "start_time": 1508.19, "end_time": 1514.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 357, "text": "Well we could maybe even put that on linear another third party or just our first party foundation app.", "raw_text": "Well we could maybe even put that on linear another third party or just our first party foundation app.", "start_time": 1514.23, "end_time": 1518.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 358, "text": "We can build a dashboard for like active quotes or active projects.", "raw_text": "We can build a dashboard for like active quotes or active projects.", "start_time": 1518.91, "end_time": 1522.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 359, "text": "Fire starter needs support on and I think we like that's the end state that I I'm envisioning but we can start it right now by identifying which of those things are like good on an island like Christopher's doing good with these leads.", "raw_text": "Fire starter needs support on and I think we like that's the end state that I I'm envisioning but we can start it right now by identifying which of those things are like good on an island like Christopher's doing good with these leads.", "start_time": 1522.32, "end_time": 1533.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 360, "text": "Let's not like just let them do that and like Sam's doing good.", "raw_text": "Let's not like just let them do that and like Sam's doing good.", "start_time": 1533.92, "end_time": 1536.599, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 361, "text": "This PM stuff.", "raw_text": "This PM stuff.", "start_time": 1536.599, "end_time": 1537.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "But like, you know, quoting and estimating, you start pulling, you know, this pipeline or something like that.", "raw_text": "But like, you know, quoting and estimating, you start pulling, you know, this pipeline or something like that.", "start_time": 1537.44, "end_time": 1542.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "I mean, I agree with that.", "raw_text": "I mean, I agree with that.", "start_time": 1542.4, "end_time": 1543.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 364, "text": "Like, I don't think, I think it'd be a waste of the Sam's time to try to get like everyone run the same PM stuff that he's running.", "raw_text": "Like, I don't think, I think it'd be a waste of the Sam's time to try to get like everyone run the same PM stuff that he's running.", "start_time": 1543.44, "end_time": 1549.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 365, "text": "100%.", "raw_text": "100%.", "start_time": 1549.85, "end_time": 1550.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 366, "text": "I could, I could automate it to a point that it's pretty close.", "raw_text": "I could, I could automate it to a point that it's pretty close.", "start_time": 1550.89, "end_time": 1553.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "Like, but it, I think it would be valuable that like the project summaries that are available for each of the projects in like safeguard or like the client summaries that are getting generated.", "raw_text": "Like, but it, I think it would be valuable that like the project summaries that are available for each of the projects in like safeguard or like the client summaries that are getting generated.", "start_time": 1553.65, "end_time": 1564.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 368, "text": "Like that's valuable.", "raw_text": "Like that's valuable.", "start_time": 1564.01, "end_time": 1565.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 369, "text": "Like anything out like context.", "raw_text": "Like anything out like context.", "start_time": 1565.85, "end_time": 1567.85, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 370, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1567.85, "end_time": 1568.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 371, "text": "Anything I want to automate assistant.", "raw_text": "Anything I want to automate assistant.", "start_time": 1568.41, "end_time": 1570.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "It's the same as like if I write a contract.", "raw_text": "It's the same as like if I write a contract.", "start_time": 1570.17, "end_time": 1571.85, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 373, "text": "Yes.", "raw_text": "Yes.", "start_time": 1572.65, "end_time": 1573.09, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 374, "text": "Any like artifact that is like an official artifact.", "raw_text": "Any like artifact that is like an official artifact.", "start_time": 1573.09, "end_time": 1576.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 375, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1576.92, "end_time": 1577.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 376, "text": "Should be written back to like some central point for sure.", "raw_text": "Should be written back to like some central point for sure.", "start_time": 1577.2, "end_time": 1580.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 377, "text": "Yeah, that's, that's.", "raw_text": "Yeah, that's, that's.", "start_time": 1580.28, "end_time": 1581.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 378, "text": "Sorry, that's what we're really.", "raw_text": "Sorry, that's what we're really.", "start_time": 1581.4, "end_time": 1582.28, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 379, "text": "Okay.", "raw_text": "Okay.", "start_time": 1582.28, "end_time": 1582.72, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 380, "text": "Yeah, I agree that's the end state.", "raw_text": "Yeah, I agree that's the end state.", "start_time": 1582.72, "end_time": 1584.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 381, "text": "But it's just like, yeah, I don't want to be running project status updates.", "raw_text": "But it's just like, yeah, I don't want to be running project status updates.", "start_time": 1584.28, "end_time": 1587.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 382, "text": "Like.", "raw_text": "Like.", "start_time": 1587.44, "end_time": 1587.76, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 383, "text": "Yeah, I mean, I think eventually we could like, Sam could give that tools to the guys so they could do it for their own projects.", "raw_text": "Yeah, I mean, I think eventually we could like, Sam could give that tools to the guys so they could do it for their own projects.", "start_time": 1587.76, "end_time": 1593.6, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 384, "text": "But yeah, so we don't even need that many pms.", "raw_text": "But yeah, so we don't even need that many pms.", "start_time": 1593.6, "end_time": 1595.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 385, "text": "And now like, he could, he could generate some skills from what he's doing and share those in the cloud.", "raw_text": "And now like, he could, he could generate some skills from what he's doing and share those in the cloud.", "start_time": 1596.76, "end_time": 1601.72, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 386, "text": "Org and I think that would go a long way and maybe those skills would even use that foundation MCP as like the additional context it needs.", "raw_text": "Org and I think that would go a long way and maybe those skills would even use that foundation MCP as like the additional context it needs.", "start_time": 1601.72, "end_time": 1611.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 387, "text": "Yeah, okay, I agree.", "raw_text": "Yeah, okay, I agree.", "start_time": 1612.6, "end_time": 1615.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 388, "text": "I feel like that was good.", "raw_text": "I feel like that was good.", "start_time": 1615.68, "end_time": 1616.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 389, "text": "I'll come up with a tighter plan on those as I'm going through on that with, with these options.", "raw_text": "I'll come up with a tighter plan on those as I'm going through on that with, with these options.", "start_time": 1617.24, "end_time": 1622.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 390, "text": "But I think, I think it like foundation is the data platform.", "raw_text": "But I think, I think it like foundation is the data platform.", "start_time": 1622.08, "end_time": 1626.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 391, "text": "There's still value add, but I think it's a question of like, all the stuff that we're replacing is changing so much.", "raw_text": "There's still value add, but I think it's a question of like, all the stuff that we're replacing is changing so much.", "start_time": 1626.2, "end_time": 1631.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 392, "text": "Like, where is the value?", "raw_text": "Like, where is the value?", "start_time": 1631.55, "end_time": 1632.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 393, "text": "I think it's like shifting.", "raw_text": "I think it's like shifting.", "start_time": 1632.47, "end_time": 1633.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 394, "text": "Like, I don't question that it's there, but that's why I almost want to try.", "raw_text": "Like, I don't question that it's there, but that's why I almost want to try.", "start_time": 1633.51, "end_time": 1636.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 395, "text": "Like, let's just try to automate these without foundation but without building anything custom.", "raw_text": "Like, let's just try to automate these without foundation but without building anything custom.", "start_time": 1636.47, "end_time": 1640.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 396, "text": "Like, what are the available tools going to like, how far are they going to get us?", "raw_text": "Like, what are the available tools going to like, how far are they going to get us?", "start_time": 1640.23, "end_time": 1643.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 397, "text": "And then we know exactly what gaps we're solving at all times.", "raw_text": "And then we know exactly what gaps we're solving at all times.", "start_time": 1643.15, "end_time": 1646.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 398, "text": "Like, that's kind of how I want", "raw_text": "Like, that's kind of how I want", "start_time": 1646.51, "end_time": 1647.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 399, "text": "to try, but I would love for maybe we can think about this on the platform.", "raw_text": "to try, but I would love for maybe we can think about this on the platform.", "start_time": 1647.55, "end_time": 1652.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 400, "text": "Side like when you run these different automations that can run recurring to generate artifacts, it'd be awesome if those could be in the data platform like accessible as context of some sort.", "raw_text": "Side like when you run these different automations that can run recurring to generate artifacts, it'd be awesome if those could be in the data platform like accessible as context of some sort.", "start_time": 1652.47, "end_time": 1663.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 401, "text": "Because the one thing that sucks is like yeah, we could make it accessible to a central point in Claude but it's not portable.", "raw_text": "Because the one thing that sucks is like yeah, we could make it accessible to a central point in Claude but it's not portable.", "start_time": 1663.54, "end_time": 1670.18, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 402, "text": "Right.", "raw_text": "Right.", "start_time": 1670.58, "end_time": 1670.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 403, "text": "And it's not, there's not RBAC over it.", "raw_text": "And it's not, there's not RBAC over it.", "start_time": 1671.22, "end_time": 1673.42, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 404, "text": "So like when you if that was like central point was in foundation like you'd have RBAC over all that data and then you could take it anywhere which is sweet.", "raw_text": "So like when you if that was like central point was in foundation like you'd have RBAC over all that data and then you could take it anywhere which is sweet.", "start_time": 1673.42, "end_time": 1682.02, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 405, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1682.99, "end_time": 1683.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 406, "text": "Or because all you need is like a blob, right?", "raw_text": "Or because all you need is like a blob, right?", "start_time": 1683.31, "end_time": 1686.83, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 407, "text": "Probably, yeah.", "raw_text": "Probably, yeah.", "start_time": 1687.55, "end_time": 1688.87, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 408, "text": "Register a blob and there could be SharePoint, could be Azure, like here's where you save stuff to and then there's like some like entity association in the data platform side.", "raw_text": "Register a blob and there could be SharePoint, could be Azure, like here's where you save stuff to and then there's like some like entity association in the data platform side.", "start_time": 1688.87, "end_time": 1699.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 409, "text": "This is literally my conversation with Claude.", "raw_text": "This is literally my conversation with Claude.", "start_time": 1700.11, "end_time": 1701.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 410, "text": "Just wondering.", "raw_text": "Just wondering.", "start_time": 1701.75, "end_time": 1702.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 411, "text": "I was like, I think the middle", "raw_text": "I was like, I think the middle", "start_time": 1702.27, "end_time": 1703.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 412, "text": "layer would be like a blob with like a dashboard that we have or like we wouldn't even have to make it a dashboard but if we want like Jeff John Everyone or like Dohar to be able to throw into it like we just quick vercel dashboard blah.", "raw_text": "layer would be like a blob with like a dashboard that we have or like we wouldn't even have to make it a dashboard but if we want like Jeff John Everyone or like Dohar to be able to throw into it like we just quick vercel dashboard blah.", "start_time": 1703.43, "end_time": 1714.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 413, "text": "We put it all in because like I feel like would be useful is like we have this foundation project where we have all this great context but like Jeff Sen always sends those docs and it's like well I want my personal version so I wish that I could like branch it.", "raw_text": "We put it all in because like I feel like would be useful is like we have this foundation project where we have all this great context but like Jeff Sen always sends those docs and it's like well I want my personal version so I wish that I could like branch it.", "start_time": 1714.41, "end_time": 1725.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 414, "text": "But if we had like in Blob storage we put in a database like we could do that and like have versioning so like we could.", "raw_text": "But if we had like in Blob storage we put in a database like we could do that and like have versioning so like we could.", "start_time": 1725.41, "end_time": 1732.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 415, "text": "I was going to like try to set something like mock like that up that we could start using.", "raw_text": "I was going to like try to set something like mock like that up that we could start using.", "start_time": 1732.93, "end_time": 1737.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 416, "text": "But yeah I think like the near term fix is tell everyone who's championing their thing.", "raw_text": "But yeah I think like the near term fix is tell everyone who's championing their thing.", "start_time": 1738.38, "end_time": 1743.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 417, "text": "Just keep documenting what you're doing on your local SharePoint and Cloud cowork and just like see how far you can get.", "raw_text": "Just keep documenting what you're doing on your local SharePoint and Cloud cowork and just like see how far you can get.", "start_time": 1743.1, "end_time": 1747.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 418, "text": "Then we can see what's the stickiest parts and start trying to put this little like blob storage in between so we can start sharing it that way.", "raw_text": "Then we can see what's the stickiest parts and start trying to put this little like blob storage in between so we can start sharing it that way.", "start_time": 1747.82, "end_time": 1754.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 419, "text": "Then once we figured out like this is solid use cases we build in an MCP and foundation and then if", "raw_text": "Then once we figured out like this is solid use cases we build in an MCP and foundation and then if", "start_time": 1754.62, "end_time": 1759.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 420, "text": "they share it, what's nice is it.", "raw_text": "they share it, what's nice is it.", "start_time": 1759.54, "end_time": 1761.02, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 421, "text": "Well I don't know how it works for price works similar for Mac users.", "raw_text": "Well I don't know how it works for price works similar for Mac users.", "start_time": 1761.02, "end_time": 1764.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 422, "text": "What's nice if it's SharePoint is like it's not like you need like an API or MCP from Cowork to SharePoint.", "raw_text": "What's nice if it's SharePoint is like it's not like you need like an API or MCP from Cowork to SharePoint.", "start_time": 1764.6, "end_time": 1773.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 423, "text": "You sync the folder to your local and then point it at your Folder so easy.", "raw_text": "You sync the folder to your local and then point it at your Folder so easy.", "start_time": 1773.56, "end_time": 1778.28, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 424, "text": "Yeah, I'm sure Dropbox has a similar", "raw_text": "Yeah, I'm sure Dropbox has a similar", "start_time": 1778.28, "end_time": 1780.519, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 425, "text": "thing for like,", "raw_text": "thing for like,", "start_time": 1780.52, "end_time": 1781.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 426, "text": "Azure.", "raw_text": "Azure.", "start_time": 1784.52, "end_time": 1785.04, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 427, "text": "Blob does too, but it's like a whole ordeal.", "raw_text": "Blob does too, but it's like a whole ordeal.", "start_time": 1785.04, "end_time": 1789.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 428, "text": "You gotta, like, download this special tool and.", "raw_text": "You gotta, like, download this special tool and.", "start_time": 1789.12, "end_time": 1791.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 429, "text": "Yeah, but we can put.", "raw_text": "Yeah, but we can put.", "start_time": 1791.88, "end_time": 1792.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 430, "text": "We could put our back in.", "raw_text": "We could put our back in.", "start_time": 1792.64, "end_time": 1793.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 431, "text": "Yeah, that's what we were saying.", "raw_text": "Yeah, that's what we were saying.", "start_time": 1793.96, "end_time": 1795.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 432, "text": "Ideally, you could throw it in Git, because then all the files get versioned and all that stuff.", "raw_text": "Ideally, you could throw it in Git, because then all the files get versioned and all that stuff.", "start_time": 1796.84, "end_time": 1800.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 433, "text": "But all the people, like, most of the people using it would probably be like, not the developers.", "raw_text": "But all the people, like, most of the people using it would probably be like, not the developers.", "start_time": 1800.44, "end_time": 1807.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 434, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1808.6, "end_time": 1809.08, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 435, "text": "So SharePoint probably makes more sense.", "raw_text": "So SharePoint probably makes more sense.", "start_time": 1809.96, "end_time": 1811.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 436, "text": "Yeah, that's why Spark's on its own island of what we're going to do with all the developers, have them go through.", "raw_text": "Yeah, that's why Spark's on its own island of what we're going to do with all the developers, have them go through.", "start_time": 1811.96, "end_time": 1817.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 437, "text": "But yes, Spark is like automating that dev stuff for sure.", "raw_text": "But yes, Spark is like automating that dev stuff for sure.", "start_time": 1817.08, "end_time": 1820.14, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 438, "text": "Which is the best one.", "raw_text": "Which is the best one.", "start_time": 1820.38, "end_time": 1821.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 439, "text": "Yeah, that's a high.", "raw_text": "Yeah, that's a high.", "start_time": 1822.94, "end_time": 1823.78, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 440, "text": "That's a high.", "raw_text": "That's a high.", "start_time": 1823.78, "end_time": 1824.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 441, "text": "Oh, McKay just put out some tweet where he was talking about some new sweet thing he did.", "raw_text": "Oh, McKay just put out some tweet where he was talking about some new sweet thing he did.", "start_time": 1824.3, "end_time": 1828.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 442, "text": "Oh, I saved him.", "raw_text": "Oh, I saved him.", "start_time": 1828.7, "end_time": 1829.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 443, "text": "And I didn't read through his post yet, but I'm like, it's pop my", "raw_text": "And I didn't read through his post yet, but I'm like, it's pop my", "start_time": 1829.94, "end_time": 1832.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 444, "text": "bookmark claw or something.", "raw_text": "bookmark claw or something.", "start_time": 1832.58, "end_time": 1834.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 445, "text": "Yeah, he's doing some cool.", "raw_text": "Yeah, he's doing some cool.", "start_time": 1834.38, "end_time": 1835.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 446, "text": "And then like Austin Aldrich from Gauntlet, he's like, he's got this premium trial.", "raw_text": "And then like Austin Aldrich from Gauntlet, he's like, he's got this premium trial.", "start_time": 1835.66, "end_time": 1839.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 447, "text": "You have to buy on his Twitter now to pay for his tokens.", "raw_text": "You have to buy on his Twitter now to pay for his tokens.", "start_time": 1839.7, "end_time": 1841.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 448, "text": "Because he went and tried every claw alternative.", "raw_text": "Because he went and tried every claw alternative.", "start_time": 1841.86, "end_time": 1843.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 449, "text": "I really want to read his brief.", "raw_text": "I really want to read his brief.", "start_time": 1843.74, "end_time": 1845.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 450, "text": "I'm not paying for it.", "raw_text": "I'm not paying for it.", "start_time": 1845.02, "end_time": 1846.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 451, "text": "I love the.", "raw_text": "I love the.", "start_time": 1846.19, "end_time": 1846.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 452, "text": "I love the hype of, like, so I'd let you control your Mac from your, like, phone now.", "raw_text": "I love the hype of, like, so I'd let you control your Mac from your, like, phone now.", "start_time": 1846.91, "end_time": 1852.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 453, "text": "Yeah, use.", "raw_text": "Yeah, use.", "start_time": 1853.63, "end_time": 1854.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 454, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1854.99, "end_time": 1855.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 455, "text": "Computer use or remote computers.", "raw_text": "Computer use or remote computers.", "start_time": 1855.39, "end_time": 1856.83, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 456, "text": "People, like, it's over for everyone.", "raw_text": "People, like, it's over for everyone.", "start_time": 1856.83, "end_time": 1858.79, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 457, "text": "And I'm like, what would you.", "raw_text": "And I'm like, what would you.", "start_time": 1858.79, "end_time": 1860.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 458, "text": "What would most people actually use this for?", "raw_text": "What would most people actually use this for?", "start_time": 1860.47, "end_time": 1862.79, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 459, "text": "Like, come on, tell me what, like, how would this change?", "raw_text": "Like, come on, tell me what, like, how would this change?", "start_time": 1862.79, "end_time": 1865.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 460, "text": "Are you going to be on your phone and texting your computer?", "raw_text": "Are you going to be on your phone and texting your computer?", "start_time": 1865.43, "end_time": 1868.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 461, "text": "Like, this changes nothing for most people.", "raw_text": "Like, this changes nothing for most people.", "start_time": 1868.03, "end_time": 1870.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 462, "text": "You already have your whole computer in your pocket.", "raw_text": "You already have your whole computer in your pocket.", "start_time": 1870.51, "end_time": 1872.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 463, "text": "Just look for stock.", "raw_text": "Just look for stock.", "start_time": 1872.78, "end_time": 1873.82, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 464, "text": "Sometimes I feel like, yeah, the hype is hilarious though.", "raw_text": "Sometimes I feel like, yeah, the hype is hilarious though.", "start_time": 1875.34, "end_time": 1880.14, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 465, "text": "Like, all right, tell me what this your day to day.", "raw_text": "Like, all right, tell me what this your day to day.", "start_time": 1880.14, "end_time": 1883.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 466, "text": "What is you going to do different?", "raw_text": "What is you going to do different?", "start_time": 1883.94, "end_time": 1885.1, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 467, "text": "Sit on your couch and text your Mac?", "raw_text": "Sit on your couch and text your Mac?", "start_time": 1885.82, "end_time": 1887.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 468, "text": "Like, what to open your.", "raw_text": "Like, what to open your.", "start_time": 1887.7, "end_time": 1890.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 469, "text": "To open Outlook?", "raw_text": "To open Outlook?", "start_time": 1890.38, "end_time": 1891.58, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 470, "text": "Can you open Outlook?", "raw_text": "Can you open Outlook?", "start_time": 1891.98, "end_time": 1893.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 471, "text": "I was thinking, like, maybe you went home and you forgot to check something in SAP and you would want your Mac to go check.", "raw_text": "I was thinking, like, maybe you went home and you forgot to check something in SAP and you would want your Mac to go check.", "start_time": 1896.94, "end_time": 1903.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 472, "text": "Maybe.", "raw_text": "Maybe.", "start_time": 1903.34, "end_time": 1903.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 473, "text": "I. I don't.", "raw_text": "I. I don't.", "start_time": 1903.86, "end_time": 1904.61, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 474, "text": "Yeah, like, what would only be accessible on your computer?", "raw_text": "Yeah, like, what would only be accessible on your computer?", "start_time": 1904.92, "end_time": 1907.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 475, "text": "Whatever.", "raw_text": "Whatever.", "start_time": 1909.48, "end_time": 1910, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 476, "text": "I was like, this changes everything.", "raw_text": "I was like, this changes everything.", "start_time": 1910, "end_time": 1911.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 477, "text": "Well, you just screen record what you do for a day and be like, claude, just do my job for me.", "raw_text": "Well, you just screen record what you do for a day and be like, claude, just do my job for me.", "start_time": 1913.72, "end_time": 1917.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 478, "text": "So, Yes.", "raw_text": "So, Yes.", "start_time": 1917.8, "end_time": 1918.6, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 479, "text": "I don't know.", "raw_text": "I don't know.", "start_time": 1922.12, "end_time": 1922.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 480, "text": "Maybe I'm missing something, but I don't know.", "raw_text": "Maybe I'm missing something, but I don't know.", "start_time": 1922.68, "end_time": 1925.16, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 481, "text": "I Just whenever we're done with foundation.", "raw_text": "I Just whenever we're done with foundation.", "start_time": 1925.16, "end_time": 1926.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 482, "text": "My new thing is when we get a sweet model, we got to host it in vapi.", "raw_text": "My new thing is when we get a sweet model, we got to host it in vapi.", "start_time": 1926.68, "end_time": 1930.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 483, "text": "So I can just call it.", "raw_text": "So I can just call it.", "start_time": 1930.64, "end_time": 1931.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 484, "text": "I just want to be able to talk to it.", "raw_text": "I just want to be able to talk to it.", "start_time": 1932.02, "end_time": 1933.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 485, "text": "That's what I'm doing.", "raw_text": "That's what I'm doing.", "start_time": 1933.22, "end_time": 1933.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 486, "text": "My open claw.", "raw_text": "My open claw.", "start_time": 1933.86, "end_time": 1934.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 487, "text": "I just call it vapi.", "raw_text": "I just call it vapi.", "start_time": 1934.54, "end_time": 1935.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "Does claw have any like skills for that or anything?", "raw_text": "Does claw have any like skills for that or anything?", "start_time": 1935.5, "end_time": 1937.46, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 489, "text": "No, it's like, it's not very good.", "raw_text": "No, it's like, it's not very good.", "start_time": 1937.46, "end_time": 1939.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 490, "text": "You can like send it whisper stuff or it can like, it can.", "raw_text": "You can like send it whisper stuff or it can like, it can.", "start_time": 1939.22, "end_time": 1941.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 491, "text": "It can use like, it can do somewhat of the loop.", "raw_text": "It can use like, it can do somewhat of the loop.", "start_time": 1941.7, "end_time": 1944.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 492, "text": "But I was like, I'll just build my whole telemetry system.", "raw_text": "But I was like, I'll just build my whole telemetry system.", "start_time": 1944.66, "end_time": 1946.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 493, "text": "Like I want to just be able to call it or like zoom or really open up a websocket, but it's not that good.", "raw_text": "Like I want to just be able to call it or like zoom or really open up a websocket, but it's not that good.", "start_time": 1946.5, "end_time": 1951.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 494, "text": "But like VAPI system's so great.", "raw_text": "But like VAPI system's so great.", "start_time": 1951.3, "end_time": 1953.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 495, "text": "And then you can just like instead of using an LLM provider, you just plug in your hosted openclaw or whatever you want and then you can just talk to it.", "raw_text": "And then you can just like instead of using an LLM provider, you just plug in your hosted openclaw or whatever you want and then you can just talk to it.", "start_time": 1953.22, "end_time": 1959.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 496, "text": "Like you can open up.", "raw_text": "Like you can open up.", "start_time": 1959.86, "end_time": 1960.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 497, "text": "Then you can do.", "raw_text": "Then you can do.", "start_time": 1960.7, "end_time": 1961.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 498, "text": "You can for vapor.", "raw_text": "You can for vapor.", "start_time": 1961.3, "end_time": 1962.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 499, "text": "You can put it right in through their SDK.", "raw_text": "You can put it right in through their SDK.", "start_time": 1962.95, "end_time": 1965.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 500, "text": "So you can put it with a websocket into any application or you can just call your phone.", "raw_text": "So you can put it with a websocket into any application or you can just call your phone.", "start_time": 1965.47, "end_time": 1970.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 501, "text": "So that's my new go to.", "raw_text": "So that's my new go to.", "start_time": 1970.35, "end_time": 1971.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 502, "text": "And then I wish the Meadows would let you do third party developing, but they can't.", "raw_text": "And then I wish the Meadows would let you do third party developing, but they can't.", "start_time": 1975.23, "end_time": 1979.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 503, "text": "So the only thing you can do is like I'll call VAPI and then put my metas on and then that's how I talk to the model.", "raw_text": "So the only thing you can do is like I'll call VAPI and then put my metas on and then that's how I talk to the model.", "start_time": 1979.07, "end_time": 1985.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 504, "text": "But then for meta to send any information, like the pictures, you can only send it in Facebook Messenger.", "raw_text": "But then for meta to send any information, like the pictures, you can only send it in Facebook Messenger.", "start_time": 1985.23, "end_time": 1990.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 505, "text": "So then I send myself Facebook messenger posts and I'm trying to put like a hook in there.", "raw_text": "So then I send myself Facebook messenger posts and I'm trying to put like a hook in there.", "start_time": 1990.06, "end_time": 1993.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 506, "text": "So like pull it into my model.", "raw_text": "So like pull it into my model.", "start_time": 1993.42, "end_time": 1994.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 507, "text": "I'm like, I'm going to build around this thing.", "raw_text": "I'm like, I'm going to build around this thing.", "start_time": 1995.7, "end_time": 1997.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 508, "text": "Just have cloud code hack it.", "raw_text": "Just have cloud code hack it.", "start_time": 1998.42, "end_time": 1999.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 509, "text": "Yeah, it'll find way.", "raw_text": "Yeah, it'll find way.", "start_time": 1999.98, "end_time": 2001.46, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 510, "text": "You got to solder the hardware and I want to take it apart.", "raw_text": "You got to solder the hardware and I want to take it apart.", "start_time": 2003.22, "end_time": 2005.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 511, "text": "Don't you go break it.", "raw_text": "Don't you go break it.", "start_time": 2006.02, "end_time": 2006.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 512, "text": "I already looked at.", "raw_text": "I already looked at.", "start_time": 2006.9, "end_time": 2007.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 513, "text": "Do it.", "raw_text": "Do it.", "start_time": 2007.5, "end_time": 2007.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 514, "text": "All right.", "raw_text": "All right.", "start_time": 2012.74, "end_time": 2013.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 515, "text": "Anything else from that meeting?", "raw_text": "Anything else from that meeting?", "start_time": 2013.22, "end_time": 2014.5, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 516, "text": "I mean, we went pretty high level, but I think that makes sense.", "raw_text": "I mean, we went pretty high level, but I think that makes sense.", "start_time": 2017.48, "end_time": 2019.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 517, "text": "And then I was going to get", "raw_text": "And then I was going to get", "start_time": 2019.72, "end_time": 2021.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 518, "text": "some workflows to just start processing nightly after Fireflies runs.", "raw_text": "some workflows to just start processing nightly after Fireflies runs.", "start_time": 2021.68, "end_time": 2027.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 519, "text": "Since there was a lot of like just call transcript ones.", "raw_text": "Since there was a lot of like just call transcript ones.", "start_time": 2027.12, "end_time": 2030.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 520, "text": "But we talked about the same thing.", "raw_text": "But we talked about the same thing.", "start_time": 2031.08, "end_time": 2032.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 521, "text": "Like where do you put it?", "raw_text": "Like where do you put it?", "start_time": 2032.8, "end_time": 2033.88, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 522, "text": "Like say this.", "raw_text": "Like say this.", "start_time": 2034.04, "end_time": 2034.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 523, "text": "The workflow generated something.", "raw_text": "The workflow generated something.", "start_time": 2034.8, "end_time": 2036.36, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 524, "text": "I think it's that same SharePoint.", "raw_text": "I think it's that same SharePoint.", "start_time": 2037.16, "end_time": 2038.92, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 525, "text": "We want to try to get fit in an existing folder structure in SharePoint like we already have in teams or should we just do a.", "raw_text": "We want to try to get fit in an existing folder structure in SharePoint like we already have in teams or should we just do a.", "start_time": 2041.57, "end_time": 2046.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 526, "text": "Net new one for now and then we do a New one.", "raw_text": "Net new one for now and then we do a New one.", "start_time": 2046.97, "end_time": 2051.81, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 527, "text": "So this is going to connect context.", "raw_text": "So this is going to connect context.", "start_time": 2052.69, "end_time": 2054.37, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 528, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2054.61, "end_time": 2055.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 529, "text": "Are you talking right now that you're going to use the data pipeline to write to a folder in SharePoint?", "raw_text": "Are you talking right now that you're going to use the data pipeline to write to a folder in SharePoint?", "start_time": 2055.05, "end_time": 2059.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 530, "text": "That'd be useful because I could.", "raw_text": "That'd be useful because I could.", "start_time": 2059.89, "end_time": 2061.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 531, "text": "I'm going to need SharePoint, not the data pipeline itself, but a workflow that runs after.", "raw_text": "I'm going to need SharePoint, not the data pipeline itself, but a workflow that runs after.", "start_time": 2061.21, "end_time": 2066.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 532, "text": "Okay.", "raw_text": "Okay.", "start_time": 2066.66, "end_time": 2067.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 533, "text": "And just dumps like project specific stuff.", "raw_text": "And just dumps like project specific stuff.", "start_time": 2067.1, "end_time": 2069.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 534, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2069.82, "end_time": 2070.14, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 535, "text": "So we'll have like, you know, risk LD folder and then in the risk LD folder be information about like Cerner and then information about like, whatever.", "raw_text": "So we'll have like, you know, risk LD folder and then in the risk LD folder be information about like Cerner and then information about like, whatever.", "start_time": 2070.14, "end_time": 2076.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 536, "text": "Like, like that.", "raw_text": "Like, like that.", "start_time": 2076.02, "end_time": 2076.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 537, "text": "Yep.", "raw_text": "Yep.", "start_time": 2077.06, "end_time": 2077.62, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 538, "text": "And then in the data platform in the.", "raw_text": "And then in the data platform in the.", "start_time": 2077.86, "end_time": 2080.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 539, "text": "Oh, I don't know if we should do a client base or project based.", "raw_text": "Oh, I don't know if we should do a client base or project based.", "start_time": 2080.94, "end_time": 2083.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 540, "text": "But we already have client to project relationship coming through the data.", "raw_text": "But we already have client to project relationship coming through the data.", "start_time": 2084.42, "end_time": 2087.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 541, "text": "We could have like a folder named for a folder path for output or.", "raw_text": "We could have like a folder named for a folder path for output or.", "start_time": 2088.74, "end_time": 2093.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 542, "text": "Yeah, like output context or something.", "raw_text": "Yeah, like output context or something.", "start_time": 2095.33, "end_time": 2097.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 543, "text": "I guess it's just context in general.", "raw_text": "I guess it's just context in general.", "start_time": 2098.69, "end_time": 2100.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 544, "text": "I, I, you know, you just made me think of a.", "raw_text": "I, I, you know, you just made me think of a.", "start_time": 2100.61, "end_time": 2103.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 545, "text": "One more thing I do want to do is get Cube into the workflow builder as well.", "raw_text": "One more thing I do want to do is get Cube into the workflow builder as well.", "start_time": 2104.61, "end_time": 2109.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 546, "text": "Oh yeah, and, and maybe some of that will come with if we get that agent node in there.", "raw_text": "Oh yeah, and, and maybe some of that will come with if we get that agent node in there.", "start_time": 2110.93, "end_time": 2117.09, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 547, "text": "But getting in his own tool is like super powerful for the workflow stuff.", "raw_text": "But getting in his own tool is like super powerful for the workflow stuff.", "start_time": 2117.25, "end_time": 2121.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 548, "text": "Yeah, that'd really help on the Firefly stuff too.", "raw_text": "Yeah, that'd really help on the Firefly stuff too.", "start_time": 2121.99, "end_time": 2125.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 549, "text": "If you, if you had one specific thing you wanted me to help you with, it could be that agent known and put in Cuban.", "raw_text": "If you, if you had one specific thing you wanted me to help you with, it could be that agent known and put in Cuban.", "start_time": 2125.39, "end_time": 2129.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 550, "text": "Like that might actually be something I could like insert and help you with.", "raw_text": "Like that might actually be something I could like insert and help you with.", "start_time": 2129.91, "end_time": 2132.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 551, "text": "Like, I could do that the next two days if you want.", "raw_text": "Like, I could do that the next two days if you want.", "start_time": 2132.99, "end_time": 2134.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 552, "text": "Those are probably the two most complicated ones too.", "raw_text": "Those are probably the two most complicated ones too.", "start_time": 2134.63, "end_time": 2136.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 553, "text": "Perfect.", "raw_text": "Perfect.", "start_time": 2136.99, "end_time": 2137.47, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 554, "text": "I'll split them with you.", "raw_text": "I'll split them with you.", "start_time": 2138.67, "end_time": 2139.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 555, "text": "I'll split them with you if you want the other one.", "raw_text": "I'll split them with you if you want the other one.", "start_time": 2139.71, "end_time": 2141.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 556, "text": "All right, Joe, I got a bounce.", "raw_text": "All right, Joe, I got a bounce.", "start_time": 2142.35, "end_time": 2143.79, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 557, "text": "See if the other thing is that one Christopher gave me that one project that he went around when he was onboarding and interviewing everybody about the company stuff.", "raw_text": "See if the other thing is that one Christopher gave me that one project that he went around when he was onboarding and interviewing everybody about the company stuff.", "start_time": 2145.79, "end_time": 2158.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 558, "text": "Yeah, we have that interconnect one that built out too.", "raw_text": "Yeah, we have that interconnect one that built out too.", "start_time": 2158.56, "end_time": 2160.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 559, "text": "Sequel for that.", "raw_text": "Sequel for that.", "start_time": 2160.96, "end_time": 2162.16, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 560, "text": "Oh, sweet.", "raw_text": "Oh, sweet.", "start_time": 2162.16, "end_time": 2162.92, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 561, "text": "So we could use that as additional context.", "raw_text": "So we could use that as additional context.", "start_time": 2162.92, "end_time": 2166, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 562, "text": "Yeah, yeah, I was gonna.", "raw_text": "Yeah, yeah, I was gonna.", "start_time": 2166.8, "end_time": 2168.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 563, "text": "He's got that one on replit and then we had Alec build that one out that we like talked about in that whiteboard meeting.", "raw_text": "He's got that one on replit and then we had Alec build that one out that we like talked about in that whiteboard meeting.", "start_time": 2168.48, "end_time": 2174.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 564, "text": "And like they did build that thing out and we had clients separate it and then they had stuff like they had like special notes about particular, like actual clients.", "raw_text": "And like they did build that thing out and we had clients separate it and then they had stuff like they had like special notes about particular, like actual clients.", "start_time": 2174.24, "end_time": 2182.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 565, "text": "Like they'd be like, if you're a pm, here's what you should know about RK and like, here's what you should know about Ray.", "raw_text": "Like they'd be like, if you're a pm, here's what you should know about RK and like, here's what you should know about Ray.", "start_time": 2182.44, "end_time": 2188.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 566, "text": "And like, they would have stuff built out like that.", "raw_text": "And like, they would have stuff built out like that.", "start_time": 2188.16, "end_time": 2189.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 567, "text": "And I gotta see.", "raw_text": "And I gotta see.", "start_time": 2190.12, "end_time": 2190.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 568, "text": "I think like learning helped with how that was set up.", "raw_text": "I think like learning helped with how that was set up.", "start_time": 2190.88, "end_time": 2192.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 569, "text": "So it's probably useful and you should", "raw_text": "So it's probably useful and you should", "start_time": 2192.88, "end_time": 2194.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 570, "text": "take a look, see if it's any good.", "raw_text": "take a look, see if it's any good.", "start_time": 2194.56, "end_time": 2197.48, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 571, "text": "Do you want me to.", "raw_text": "Do you want me to.", "start_time": 2199.56, "end_time": 2200.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 572, "text": "I'm gonna just figure out what I'm doing next.", "raw_text": "I'm gonna just figure out what I'm doing next.", "start_time": 2200.6, "end_time": 2202.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 573, "text": "Do you want me to help with the agent builder stuff or.", "raw_text": "Do you want me to help with the agent builder stuff or.", "start_time": 2202.24, "end_time": 2205.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 574, "text": "No, let me keep taking a crack at it because I'm close on it.", "raw_text": "No, let me keep taking a crack at it because I'm close on it.", "start_time": 2205.23, "end_time": 2208.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 575, "text": "So then I'm going to work on getting this stuff together.", "raw_text": "So then I'm going to work on getting this stuff together.", "start_time": 2208.67, "end_time": 2210.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 576, "text": "Then after infosec, the I'll do the interconnect.", "raw_text": "Then after infosec, the I'll do the interconnect.", "start_time": 2210.71, "end_time": 2214.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 577, "text": "I'll check it with the interconnect stuff and then work with you on the SharePoint folder.", "raw_text": "I'll check it with the interconnect stuff and then work with you on the SharePoint folder.", "start_time": 2214.27, "end_time": 2218.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 578, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2218.19, "end_time": 2218.59, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 579, "text": "And then start making once we get", "raw_text": "And then start making once we get", "start_time": 2218.59, "end_time": 2220.309, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 580, "text": "this to do the cube cube node heads.", "raw_text": "this to do the cube cube node heads.", "start_time": 2220.309, "end_time": 2222.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 581, "text": "Because I'll probably get to that later.", "raw_text": "Because I'll probably get to that later.", "start_time": 2222.67, "end_time": 2224.19, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 582, "text": "Well, I, I want to.", "raw_text": "Well, I, I want to.", "start_time": 2224.35, "end_time": 2225.55, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 583, "text": "On that in the workflow builder or for the.", "raw_text": "On that in the workflow builder or for the.", "start_time": 2225.71, "end_time": 2227.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 584, "text": "On that cube side too.", "raw_text": "On that cube side too.", "start_time": 2227.67, "end_time": 2228.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 585, "text": "There's like we have a few tools like the dot X and stuff that are in the sandbox that aren't through like the normal tools pipeline and it would be nice to have them outside of it so you can reuse them outside the normal tools pipeline.", "raw_text": "There's like we have a few tools like the dot X and stuff that are in the sandbox that aren't through like the normal tools pipeline and it would be nice to have them outside of it so you can reuse them outside the normal tools pipeline.", "start_time": 2229.07, "end_time": 2248.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 586, "text": "So like saying you got stuff in workflow builder but you can't.", "raw_text": "So like saying you got stuff in workflow builder but you can't.", "start_time": 2248.05, "end_time": 2250.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 587, "text": "Tools configured for the chat agent that aren't visible to the user.", "raw_text": "Tools configured for the chat agent that aren't visible to the user.", "start_time": 2251.21, "end_time": 2256.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 588, "text": "Oh, the skills.", "raw_text": "Oh, the skills.", "start_time": 2257.97, "end_time": 2259.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 589, "text": "Mostly the skills.", "raw_text": "Mostly the skills.", "start_time": 2259.41, "end_time": 2260.61, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 590, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2260.69, "end_time": 2261.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 591, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 2262.05, "end_time": 2262.69, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 592, "text": "I guess it is the skills.", "raw_text": "I guess it is the skills.", "start_time": 2262.69, "end_time": 2264.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 593, "text": "Yeah, you could make them.", "raw_text": "Yeah, you could make them.", "start_time": 2264.01, "end_time": 2266.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 594, "text": "So it's two tiers.", "raw_text": "So it's two tiers.", "start_time": 2269.25, "end_time": 2271.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 595, "text": "There's a global skills that are in there.", "raw_text": "There's a global skills that are in there.", "start_time": 2271.45, "end_time": 2273.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 596, "text": "Like the only one's docx right now.", "raw_text": "Like the only one's docx right now.", "start_time": 2273.53, "end_time": 2275.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 597, "text": "And then from the data platform though this docx is not okay.", "raw_text": "And then from the data platform though this docx is not okay.", "start_time": 2276.13, "end_time": 2282.41, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 598, "text": "So like docs X docx is in foundation and then there's like global skills.", "raw_text": "So like docs X docx is in foundation and then there's like global skills.", "start_time": 2282.41, "end_time": 2287.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 599, "text": "And then when it uses the semantic URL to reach out to data platform, it brings in additional like platform specific skills.", "raw_text": "And then when it uses the semantic URL to reach out to data platform, it brings in additional like platform specific skills.", "start_time": 2287.47, "end_time": 2296.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 600, "text": "Okay.", "raw_text": "Okay.", "start_time": 2296.35, "end_time": 2296.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 601, "text": "And that would be like.", "raw_text": "And that would be like.", "start_time": 2297.07, "end_time": 2297.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 602, "text": "I mean some of them replace a little bit of like domain analysis or it could be like generate arrangement letter.", "raw_text": "I mean some of them replace a little bit of like domain analysis or it could be like generate arrangement letter.", "start_time": 2297.99, "end_time": 2304.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 603, "text": "But that comes from data platform.", "raw_text": "But that comes from data platform.", "start_time": 2304.99, "end_time": 2306.83, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 604, "text": "Yeah, but like generic ones are more like utilities are in foundation.", "raw_text": "Yeah, but like generic ones are more like utilities are in foundation.", "start_time": 2307.15, "end_time": 2315.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 605, "text": "So.", "raw_text": "So.", "start_time": 2315.27, "end_time": 2315.59, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 606, "text": "Okay.", "raw_text": "Okay.", "start_time": 2315.59, "end_time": 2316.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 607, "text": "Yeah, I'm figuring out how you do that.", "raw_text": "Yeah, I'm figuring out how you do that.", "start_time": 2316.79, "end_time": 2318.59, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 608, "text": "I guess you want.", "raw_text": "I guess you want.", "start_time": 2318.59, "end_time": 2319.51, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 609, "text": "Sorry.", "raw_text": "Sorry.", "start_time": 2320.55, "end_time": 2320.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 610, "text": "Some of that more data driven because it's just folder based.", "raw_text": "Some of that more data driven because it's just folder based.", "start_time": 2320.99, "end_time": 2323.59, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 611, "text": "It just reads what's in there.", "raw_text": "It just reads what's in there.", "start_time": 2324.55, "end_time": 2325.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 612, "text": "You could have like.", "raw_text": "You could have like.", "start_time": 2327.19, "end_time": 2328.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 613, "text": "And then you could, if you made a data driven, you could like allow it on the agent node.", "raw_text": "And then you could, if you made a data driven, you could like allow it on the agent node.", "start_time": 2328.15, "end_time": 2335.67, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 614, "text": "Like allow these skills.", "raw_text": "Like allow these skills.", "start_time": 2336.03, "end_time": 2337.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 615, "text": "That's what I.", "raw_text": "That's what I.", "start_time": 2337.35, "end_time": 2337.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 616, "text": "That's what I was kind of getting at.", "raw_text": "That's what I was kind of getting at.", "start_time": 2337.95, "end_time": 2339.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 617, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2339.31, "end_time": 2339.79, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 618, "text": "Which they're just like under the covers right now.", "raw_text": "Which they're just like under the covers right now.", "start_time": 2340.43, "end_time": 2342.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 619, "text": "Which is fine.", "raw_text": "Which is fine.", "start_time": 2342.75, "end_time": 2343.63, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 620, "text": "Yeah, we would just need to change.", "raw_text": "Yeah, we would just need to change.", "start_time": 2343.79, "end_time": 2345.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 621, "text": "We would need to like beat that up a good bit.", "raw_text": "We would need to like beat that up a good bit.", "start_time": 2345.03, "end_time": 2346.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 622, "text": "And the.", "raw_text": "And the.", "start_time": 2347.23, "end_time": 2347.87, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 623, "text": "If you're saying data driven you just mean like saving the skill descript descriptions in the database and then like yeah, base or.", "raw_text": "If you're saying data driven you just mean like saving the skill descript descriptions in the database and then like yeah, base or.", "start_time": 2348.11, "end_time": 2355.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 624, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2355.47, "end_time": 2355.87, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 625, "text": "And for that chat sandbox we run, I want to make the like user experience around it a little like clear when it like runs the commands because it'll like just have like a generic like run.", "raw_text": "And for that chat sandbox we run, I want to make the like user experience around it a little like clear when it like runs the commands because it'll like just have like a generic like run.", "start_time": 2355.87, "end_time": 2368.49, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 626, "text": "Like if we could surface kind of like doing a little better.", "raw_text": "Like if we could surface kind of like doing a little better.", "start_time": 2368.65, "end_time": 2371.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 627, "text": "Yeah, that would be.", "raw_text": "Yeah, that would be.", "start_time": 2371.33, "end_time": 2372.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 628, "text": "I agree.", "raw_text": "I agree.", "start_time": 2372.21, "end_time": 2372.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 629, "text": "That would be much better.", "raw_text": "That would be much better.", "start_time": 2372.61, "end_time": 2373.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 630, "text": "Well, that would be helpful.", "raw_text": "Well, that would be helpful.", "start_time": 2374.41, "end_time": 2375.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 631, "text": "Okay, I'm not going to be able to get to that.", "raw_text": "Okay, I'm not going to be able to get to that.", "start_time": 2375.77, "end_time": 2377.37, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 632, "text": "All of the, all the security on those needs to be updated to that egress thing you sent me on that sandbox stuff.", "raw_text": "All of the, all the security on those needs to be updated to that egress thing you sent me on that sandbox stuff.", "start_time": 2377.77, "end_time": 2388.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 633, "text": "There's only one.", "raw_text": "There's only one.", "start_time": 2388.94, "end_time": 2389.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 634, "text": "We want a dev mode for that so we can like actually see the console.", "raw_text": "We want a dev mode for that so we can like actually see the console.", "start_time": 2393.3, "end_time": 2396.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 635, "text": "Probably not.", "raw_text": "Probably not.", "start_time": 2396.18, "end_time": 2396.62, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 636, "text": "We just want something like spladunking, calling your tool loading like one of those like cutesy things or.", "raw_text": "We just want something like spladunking, calling your tool loading like one of those like cutesy things or.", "start_time": 2396.62, "end_time": 2402.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 637, "text": "Yeah, right now we get back like just super generic like tool call stuff.", "raw_text": "Yeah, right now we get back like just super generic like tool call stuff.", "start_time": 2402.7, "end_time": 2407.14, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 638, "text": "Give me say like opening Versal sandbox, pulling this or like just like something like customer speaker.", "raw_text": "Give me say like opening Versal sandbox, pulling this or like just like something like customer speaker.", "start_time": 2407.14, "end_time": 2413.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 639, "text": "Well, think of, Think of like how.", "raw_text": "Well, think of, Think of like how.", "start_time": 2413.1, "end_time": 2414.42, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 640, "text": "How like claw does it.", "raw_text": "How like claw does it.", "start_time": 2416.12, "end_time": 2417.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 641, "text": "You know when you can tell it's like writing code and running it in the sandbox.", "raw_text": "You know when you can tell it's like writing code and running it in the sandbox.", "start_time": 2417.32, "end_time": 2420.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 642, "text": "Like.", "raw_text": "Like.", "start_time": 2420.68, "end_time": 2420.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 643, "text": "Yeah, it gives you actual like verbiage.", "raw_text": "Yeah, it gives you actual like verbiage.", "start_time": 2420.96, "end_time": 2422.92, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 644, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2423.08, "end_time": 2423.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 645, "text": "I did one of those for the, the privacy generator that we did for second.", "raw_text": "I did one of those for the, the privacy generator that we did for second.", "start_time": 2423.52, "end_time": 2427.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 646, "text": "Well, it was actually I let Claude.", "raw_text": "Well, it was actually I let Claude.", "start_time": 2427.96, "end_time": 2429.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 647, "text": "I was like, just do something like Claude coded.", "raw_text": "I was like, just do something like Claude coded.", "start_time": 2429.04, "end_time": 2430.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 648, "text": "But it made it like way too sassy.", "raw_text": "But it made it like way too sassy.", "start_time": 2430.76, "end_time": 2432.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 649, "text": "It was like double checking your pii.", "raw_text": "It was like double checking your pii.", "start_time": 2432.12, "end_time": 2433.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 650, "text": "And I was like.", "raw_text": "And I was like.", "start_time": 2433.92, "end_time": 2434.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 651, "text": "It was saying some stuff.", "raw_text": "It was saying some stuff.", "start_time": 2434.56, "end_time": 2435.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 652, "text": "I was like, okay, we can't.", "raw_text": "I was like, okay, we can't.", "start_time": 2435.32, "end_time": 2436.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 653, "text": "I don't think it's actually used any.", "raw_text": "I don't think it's actually used any.", "start_time": 2443.47, "end_time": 2444.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 654, "text": "Well, in my local coffee, I added.", "raw_text": "Well, in my local coffee, I added.", "start_time": 2444.99, "end_time": 2447.23, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 655, "text": "I was.", "raw_text": "I was.", "start_time": 2448.75, "end_time": 2449.27, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 656, "text": "I added a web search tool to Levy or something to Billy.", "raw_text": "I added a web search tool to Levy or something to Billy.", "start_time": 2449.27, "end_time": 2453.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 657, "text": "I was.", "raw_text": "I was.", "start_time": 2454.59, "end_time": 2455.15, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 658, "text": "It's funny, I was looking into that for open Claw stuff.", "raw_text": "It's funny, I was looking into that for open Claw stuff.", "start_time": 2455.63, "end_time": 2458.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 659, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2458.91, "end_time": 2459.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 660, "text": "So I added to Billy and I have a.", "raw_text": "So I added to Billy and I have a.", "start_time": 2459.31, "end_time": 2461.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 661, "text": "A local API key and it just injects it in there like real unsafe.", "raw_text": "A local API key and it just injects it in there like real unsafe.", "start_time": 2462.19, "end_time": 2467.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 662, "text": "Like.", "raw_text": "Like.", "start_time": 2467.31, "end_time": 2467.55, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 663, "text": "And then I read that article you sent me.", "raw_text": "And then I read that article you sent me.", "start_time": 2467.55, "end_time": 2469.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 664, "text": "I was like, call.", "raw_text": "I was like, call.", "start_time": 2469.31, "end_time": 2470.07, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 665, "text": "This is exactly what I should be doing.", "raw_text": "This is exactly what I should be doing.", "start_time": 2470.07, "end_time": 2471.79, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 666, "text": "Oh yeah.", "raw_text": "Oh yeah.", "start_time": 2474.56, "end_time": 2475.28, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 667, "text": "But once we do that so fast, man.", "raw_text": "But once we do that so fast, man.", "start_time": 2475.36, "end_time": 2477.76, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 668, "text": "So I have a cube skill.", "raw_text": "So I have a cube skill.", "start_time": 2480.4, "end_time": 2482.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 669, "text": "I have a cube sh.", "raw_text": "I have a cube sh.", "start_time": 2486.16, "end_time": 2487.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 670, "text": "I can't remember if I. I think I do have a query sh.", "raw_text": "I can't remember if I. I think I do have a query sh.", "start_time": 2487.36, "end_time": 2489.92, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 671, "text": "But it must inject our API key to the cube.", "raw_text": "But it must inject our API key to the cube.", "start_time": 2491.36, "end_time": 2495.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 672, "text": "Probably okay.", "raw_text": "Probably okay.", "start_time": 2495.2, "end_time": 2496.24, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 673, "text": "Unsafely as well.", "raw_text": "Unsafely as well.", "start_time": 2497.04, "end_time": 2498.32, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 674, "text": "If you want to take that cube one too.", "raw_text": "If you want to take that cube one too.", "start_time": 2498.77, "end_time": 2500.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 675, "text": "Yeah, I just want to be flow builder.", "raw_text": "Yeah, I just want to be flow builder.", "start_time": 2501.25, "end_time": 2503.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 676, "text": "Okay.", "raw_text": "Okay.", "start_time": 2503.41, "end_time": 2503.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 677, "text": "So it sounds like I should work on the cube thing, but when you, you said cube note earlier we talking workflow builder.", "raw_text": "So it sounds like I should work on the cube thing, but when you, you said cube note earlier we talking workflow builder.", "start_time": 2503.73, "end_time": 2507.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 678, "text": "Do you mean something else?", "raw_text": "Do you mean something else?", "start_time": 2507.65, "end_time": 2508.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 679, "text": "I just want to Be clear.", "raw_text": "I just want to Be clear.", "start_time": 2508.49, "end_time": 2509.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 680, "text": "So you want me to go to the workflow builder that allows us to query our cube.", "raw_text": "So you want me to go to the workflow builder that allows us to query our cube.", "start_time": 2510.37, "end_time": 2514.689, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 681, "text": "Would it be yes or MCP because of the cube skill?", "raw_text": "Would it be yes or MCP because of the cube skill?", "start_time": 2515.17, "end_time": 2522.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 682, "text": "Good question.", "raw_text": "Good question.", "start_time": 2522.29, "end_time": 2522.85, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 683, "text": "The fair question.", "raw_text": "The fair question.", "start_time": 2524.14, "end_time": 2524.94, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 684, "text": "It's a damn good question.", "raw_text": "It's a damn good question.", "start_time": 2525.26, "end_time": 2526.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 685, "text": "I could just.", "raw_text": "I could just.", "start_time": 2528.46, "end_time": 2529.18, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 686, "text": "I could just figure it out.", "raw_text": "I could just figure it out.", "start_time": 2529.42, "end_time": 2530.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 687, "text": "We don't have any MCPs in foundation right now.", "raw_text": "We don't have any MCPs in foundation right now.", "start_time": 2530.58, "end_time": 2534.46, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 688, "text": "Well, I'll take a look at it and let you know what I think.", "raw_text": "Well, I'll take a look at it and let you know what I think.", "start_time": 2535.1, "end_time": 2537.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 689, "text": "So like if it was just like translating the cube tool, what it would do is like we have plugins.", "raw_text": "So like if it was just like translating the cube tool, what it would do is like we have plugins.", "start_time": 2538.22, "end_time": 2543.02, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 690, "text": "So like we have system plugins like HTTP requests, all that stuff.", "raw_text": "So like we have system plugins like HTTP requests, all that stuff.", "start_time": 2543.42, "end_time": 2548.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 691, "text": "So we would just move cube to be an action for that plugin type with the various things that drive the UI in there.", "raw_text": "So we would just move cube to be an action for that plugin type with the various things that drive the UI in there.", "start_time": 2548.34, "end_time": 2554.82, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 692, "text": "Whatever.", "raw_text": "Whatever.", "start_time": 2554.82, "end_time": 2555.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 693, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2555.98, "end_time": 2556.46, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 694, "text": "So and then we'd have to wire that in correctly on both chat and.", "raw_text": "So and then we'd have to wire that in correctly on both chat and.", "start_time": 2557.1, "end_time": 2560.54, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 695, "text": "And worker.", "raw_text": "And worker.", "start_time": 2560.94, "end_time": 2562.22, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 696, "text": "But I mean it would be super valuable.", "raw_text": "But I mean it would be super valuable.", "start_time": 2562.22, "end_time": 2563.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 697, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2565.1, "end_time": 2565.54, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 698, "text": "On chat it's going to get messed", "raw_text": "On chat it's going to get messed", "start_time": 2565.54, "end_time": 2567.26, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 699, "text": "up because", "raw_text": "up because", "start_time": 2567.26, "end_time": 2567.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 700, "text": "used its skill, we probably", "raw_text": "used its skill, we probably", "start_time": 2570.38, "end_time": 2572.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 701, "text": "don't want it to go to chat if it's already got it.", "raw_text": "don't want it to go to chat if it's already got it.", "start_time": 2572.3, "end_time": 2574.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 702, "text": "It usually is a quirk cube skill.", "raw_text": "It usually is a quirk cube skill.", "start_time": 2574.18, "end_time": 2576.98, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 703, "text": "It doesn't use like a tool which we could change.", "raw_text": "It doesn't use like a tool which we could change.", "start_time": 2577.3, "end_time": 2581.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 704, "text": "Wait, can we define for a second", "raw_text": "Wait, can we define for a second", "start_time": 2586.1, "end_time": 2587.58, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 705, "text": "how we're using skill versus tool?", "raw_text": "how we're using skill versus tool?", "start_time": 2587.58, "end_time": 2589.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 706, "text": "So skill it's the context of the descriptions are always loaded.", "raw_text": "So skill it's the context of the descriptions are always loaded.", "start_time": 2589.22, "end_time": 2592.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 707, "text": "Then when it wants it decides to load it in.", "raw_text": "Then when it wants it decides to load it in.", "start_time": 2592.58, "end_time": 2594.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 708, "text": "But then tools what it can call so tools like hard coded schools like skills.", "raw_text": "But then tools what it can call so tools like hard coded schools like skills.", "start_time": 2594.42, "end_time": 2598.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 709, "text": "A description of tools that can be called when you need to do something sour using that here.", "raw_text": "A description of tools that can be called when you need to do something sour using that here.", "start_time": 2598.82, "end_time": 2603.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 710, "text": "Yes.", "raw_text": "Yes.", "start_time": 2606.26, "end_time": 2606.74, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 711, "text": "I just want to make sure they meet.", "raw_text": "I just want to make sure they meet.", "start_time": 2607.22, "end_time": 2608.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 712, "text": "I was more experimenting with.", "raw_text": "I was more experimenting with.", "start_time": 2608.9, "end_time": 2610.5, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 713, "text": "I don't know if it matters.", "raw_text": "I don't know if it matters.", "start_time": 2610.66, "end_time": 2611.66, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 714, "text": "Ultimately I was experimenting with would be more effective at getting the like when chat starts it treats the data platform as like this favored nations like different integrations.", "raw_text": "Ultimately I was experimenting with would be more effective at getting the like when chat starts it treats the data platform as like this favored nations like different integrations.", "start_time": 2611.66, "end_time": 2631.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 715, "text": "So it reaches out to data platform, gets the cube definition.", "raw_text": "So it reaches out to data platform, gets the cube definition.", "start_time": 2631.51, "end_time": 2637.03, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 716, "text": "The cube definition goes directly into system prompt and then it also gets skills from the data platform and creates those skills locally.", "raw_text": "The cube definition goes directly into system prompt and then it also gets skills from the data platform and creates those skills locally.", "start_time": 2638.07, "end_time": 2648.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 717, "text": "So this is like when you start a conversation in the system prompt, it links to your semantic layer and it knows the available skills.", "raw_text": "So this is like when you start a conversation in the system prompt, it links to your semantic layer and it knows the available skills.", "start_time": 2649.11, "end_time": 2654.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 718, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2654.71, "end_time": 2655.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 719, "text": "And so this is when I was like kind of down on mcps and I just didn't think like the tool calling would be as effective as that.", "raw_text": "And so this is when I was like kind of down on mcps and I just didn't think like the tool calling would be as effective as that.", "start_time": 2655.35, "end_time": 2663.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 720, "text": "But I think you can do the same.", "raw_text": "But I think you can do the same.", "start_time": 2664.63, "end_time": 2666.99, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 721, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 2666.99, "end_time": 2667.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 722, "text": "Just do that in a workflow.", "raw_text": "Just do that in a workflow.", "start_time": 2667.71, "end_time": 2669.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 723, "text": "Like we could just start the workflow and check.", "raw_text": "Like we could just start the workflow and check.", "start_time": 2669.15, "end_time": 2671.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 724, "text": "You know, I wouldn't do it in workflow.", "raw_text": "You know, I wouldn't do it in workflow.", "start_time": 2672.87, "end_time": 2674.71, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 725, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2675.75, "end_time": 2676.11, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 726, "text": "I think that I do think like", "raw_text": "I think that I do think like", "start_time": 2676.11, "end_time": 2677.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 727, "text": "when you're checking with data in foundation, like in the system prompt, it should be like heavily your semantic layer connection.", "raw_text": "when you're checking with data in foundation, like in the system prompt, it should be like heavily your semantic layer connection.", "start_time": 2677.47, "end_time": 2684.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 728, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2684.93, "end_time": 2685.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 729, "text": "What would we.", "raw_text": "What would we.", "start_time": 2685.29, "end_time": 2685.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 730, "text": "Whether it's an MCP or a skill I don't think matters.", "raw_text": "Whether it's an MCP or a skill I don't think matters.", "start_time": 2685.93, "end_time": 2689.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 731, "text": "I think I agree with that.", "raw_text": "I think I agree with that.", "start_time": 2689.13, "end_time": 2690.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 732, "text": "I think people, like, I don't know, they fight on it online.", "raw_text": "I think people, like, I don't know, they fight on it online.", "start_time": 2690.89, "end_time": 2693.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 733, "text": "But like, people will say, like, oh, MCP kills your context.", "raw_text": "But like, people will say, like, oh, MCP kills your context.", "start_time": 2693.53, "end_time": 2696.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 734, "text": "But if you want to make tools work, if you want to make skills work really well, you need to have them meet your context too.", "raw_text": "But if you want to make tools work, if you want to make skills work really well, you need to have them meet your context too.", "start_time": 2697.29, "end_time": 2704.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 735, "text": "Like, it needs to be in your system prompt or it's not even.", "raw_text": "Like, it needs to be in your system prompt or it's not even.", "start_time": 2704.17, "end_time": 2707.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 736, "text": "It's not going to ever use your skills.", "raw_text": "It's not going to ever use your skills.", "start_time": 2707.33, "end_time": 2709.09, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 737, "text": "Right.", "raw_text": "Right.", "start_time": 2709.09, "end_time": 2709.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 738, "text": "In fact, picking one's better than arguing about which one to pick, though.", "raw_text": "In fact, picking one's better than arguing about which one to pick, though.", "start_time": 2709.29, "end_time": 2712.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 739, "text": "Like, I think, like, you could probably get it done either.", "raw_text": "Like, I think, like, you could probably get it done either.", "start_time": 2712.09, "end_time": 2713.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 740, "text": "And then it's like, it's like marginally better, depending on the situation.", "raw_text": "And then it's like, it's like marginally better, depending on the situation.", "start_time": 2714.71, "end_time": 2717.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 741, "text": "But we can't have both.", "raw_text": "But we can't have both.", "start_time": 2717.31, "end_time": 2718.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 742, "text": "That's true.", "raw_text": "That's true.", "start_time": 2718.55, "end_time": 2719.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 743, "text": "Having both.", "raw_text": "Having both.", "start_time": 2719.67, "end_time": 2720.39, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 744, "text": "Having both is worse than having none, even.", "raw_text": "Having both is worse than having none, even.", "start_time": 2720.47, "end_time": 2723.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 745, "text": "It's bad.", "raw_text": "It's bad.", "start_time": 2723.19, "end_time": 2723.83, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 746, "text": "Even in my quad, if I have like Linear and the morland MCP and GitHub, sometimes I'll ask things that aren't even in Linear or like Google Drive or anything.", "raw_text": "Even in my quad, if I have like Linear and the morland MCP and GitHub, sometimes I'll ask things that aren't even in Linear or like Google Drive or anything.", "start_time": 2723.83, "end_time": 2738.31, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 747, "text": "Like, I'll be like, can you tell me the latest contracts from Orlando?", "raw_text": "Like, I'll be like, can you tell me the latest contracts from Orlando?", "start_time": 2738.31, "end_time": 2741.34, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 748, "text": "And it'll like, go to Google Drive.", "raw_text": "And it'll like, go to Google Drive.", "start_time": 2741.65, "end_time": 2743.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 749, "text": "And I'm like, don't do that.", "raw_text": "And I'm like, don't do that.", "start_time": 2743.73, "end_time": 2745.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 750, "text": "Actually, don't lose the Cube stuff yet, because if I get that agent node in there, we'll be able to use it through the agent as is.", "raw_text": "Actually, don't lose the Cube stuff yet, because if I get that agent node in there, we'll be able to use it through the agent as is.", "start_time": 2746.29, "end_time": 2754.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 751, "text": "And then maybe after that we can decide on like a better abstraction for it.", "raw_text": "And then maybe after that we can decide on like a better abstraction for it.", "start_time": 2755.97, "end_time": 2760.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 752, "text": "Well, I was wondering too, like, what do we want to do with Cube in a workflow?", "raw_text": "Well, I was wondering too, like, what do we want to do with Cube in a workflow?", "start_time": 2760.05, "end_time": 2762.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 753, "text": "Like, just check data and write to data and like, we would do it like that would be like.", "raw_text": "Like, just check data and write to data and like, we would do it like that would be like.", "start_time": 2762.65, "end_time": 2766.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 754, "text": "It's like having that MCP available like we do in Claude.", "raw_text": "It's like having that MCP available like we do in Claude.", "start_time": 2766.61, "end_time": 2770.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 755, "text": "Like whenever you need context of something that you not.", "raw_text": "Like whenever you need context of something that you not.", "start_time": 2770.13, "end_time": 2773.74, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 756, "text": "You're not sure.", "raw_text": "You're not sure.", "start_time": 2773.74, "end_time": 2774.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 757, "text": "Yeah, just like a figure something.", "raw_text": "Yeah, just like a figure something.", "start_time": 2774.86, "end_time": 2777.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 758, "text": "It's like a query.", "raw_text": "It's like a query.", "start_time": 2777.34, "end_time": 2778.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 759, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2778.3, "end_time": 2778.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 760, "text": "There's related terms in the middle of the workflow.", "raw_text": "There's related terms in the middle of the workflow.", "start_time": 2778.74, "end_time": 2780.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 761, "text": "You're trying to solve a problem.", "raw_text": "You're trying to solve a problem.", "start_time": 2780.86, "end_time": 2781.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 762, "text": "Pull all the latest, you know, fireflies transcript.", "raw_text": "Pull all the latest, you know, fireflies transcript.", "start_time": 2782.14, "end_time": 2785.82, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 763, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2786.62, "end_time": 2786.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 764, "text": "Check all client relationships or something.", "raw_text": "Check all client relationships or something.", "start_time": 2786.98, "end_time": 2788.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 765, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2788.5, "end_time": 2788.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 766, "text": "If it was a cube actual cube", "raw_text": "If it was a cube actual cube", "start_time": 2788.86, "end_time": 2790.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 767, "text": "tool, I mean, that's probably.", "raw_text": "tool, I mean, that's probably.", "start_time": 2790.86, "end_time": 2792.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 768, "text": "You could give it the exact prompt you want for the exact.", "raw_text": "You could give it the exact prompt you want for the exact.", "start_time": 2792.58, "end_time": 2795.42, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 769, "text": "Well, I guess you could do anything", "raw_text": "Well, I guess you could do anything", "start_time": 2797.51, "end_time": 2798.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 770, "text": "with the agent anyway.", "raw_text": "with the agent anyway.", "start_time": 2798.87, "end_time": 2799.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 771, "text": "You could still give the exact query you want prompt anyway.", "raw_text": "You could still give the exact query you want prompt anyway.", "start_time": 2800.55, "end_time": 2803.91, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 772, "text": "But could I just make a Cube node that like the cube node hooks up to our MCP and then you just give it a prompt and then just asks it and returns it.", "raw_text": "But could I just make a Cube node that like the cube node hooks up to our MCP and then you just give it a prompt and then just asks it and returns it.", "start_time": 2803.99, "end_time": 2811.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 773, "text": "It's like a sub agent, basically.", "raw_text": "It's like a sub agent, basically.", "start_time": 2811.79, "end_time": 2813.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 774, "text": "Like, we're in this workflow, we have this question we ask Cube.", "raw_text": "Like, we're in this workflow, we have this question we ask Cube.", "start_time": 2813.43, "end_time": 2816.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 775, "text": "This node connects to Cube Ask the question, returns result.", "raw_text": "This node connects to Cube Ask the question, returns result.", "start_time": 2816.59, "end_time": 2818.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 776, "text": "That's the note.", "raw_text": "That's the note.", "start_time": 2818.95, "end_time": 2821.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 777, "text": "Yes, I would probably do that.", "raw_text": "Yes, I would probably do that.", "start_time": 2823.12, "end_time": 2825, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 778, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2825, "end_time": 2825.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 779, "text": "Now we can do that.", "raw_text": "Now we can do that.", "start_time": 2827.04, "end_time": 2828.08, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 780, "text": "The fastest way to use it is going to be doing this agent node.", "raw_text": "The fastest way to use it is going to be doing this agent node.", "start_time": 2830.48, "end_time": 2833.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 781, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2833.4, "end_time": 2833.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 782, "text": "And then.", "raw_text": "And then.", "start_time": 2833.76, "end_time": 2834.24, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 783, "text": "Well if the agent node's good enough, the fastest way to do anything is", "raw_text": "Well if the agent node's good enough, the fastest way to do anything is", "start_time": 2834.8, "end_time": 2837.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 784, "text": "going to be just doing the agent.", "raw_text": "going to be just doing the agent.", "start_time": 2837.48, "end_time": 2838.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 785, "text": "Well, we have open clause, so forget about the rest of your workflow.", "raw_text": "Well, we have open clause, so forget about the rest of your workflow.", "start_time": 2839.04, "end_time": 2841.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 786, "text": "No, the pain in the neck with it right now it's like in chat we always use like invoker credentials, which makes sense.", "raw_text": "No, the pain in the neck with it right now it's like in chat we always use like invoker credentials, which makes sense.", "start_time": 2841.92, "end_time": 2849.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 787, "text": "So for all your integrations you have to have like credentials but in if you put it in workflow builder you can either use like a service account or your invoker credentials the users.", "raw_text": "So for all your integrations you have to have like credentials but in if you put it in workflow builder you can either use like a service account or your invoker credentials the users.", "start_time": 2849.46, "end_time": 2863.86, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 788, "text": "But you would need to decide that for like each tool you use.", "raw_text": "But you would need to decide that for like each tool you use.", "start_time": 2864.9, "end_time": 2867.78, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 789, "text": "So like out of the gate if we just want to say like if you're going to use an agent node, it's always just going to use invokers credentials.", "raw_text": "So like out of the gate if we just want to say like if you're going to use an agent node, it's always just going to use invokers credentials.", "start_time": 2870.26, "end_time": 2875.78, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 790, "text": "That's fine.", "raw_text": "That's fine.", "start_time": 2877.16, "end_time": 2877.8, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 791, "text": "But I don't think that's going to cover everything.", "raw_text": "But I don't think that's going to cover everything.", "start_time": 2878.84, "end_time": 2880.44, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 792, "text": "Yeah,", "raw_text": "Yeah,", "start_time": 2882.28, "end_time": 2882.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 793, "text": "I thought some of them forced me to use like more credentials.", "raw_text": "I thought some of them forced me to use like more credentials.", "start_time": 2884.92, "end_time": 2887.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 794, "text": "Or is that just like when you crawl, like make it a cron?", "raw_text": "Or is that just like when you crawl, like make it a cron?", "start_time": 2888.52, "end_time": 2890.6, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 795, "text": "I'm not sure.", "raw_text": "I'm not sure.", "start_time": 2892.44, "end_time": 2893.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 796, "text": "Maybe, maybe that was just me when I was messing with it.", "raw_text": "Maybe, maybe that was just me when I was messing with it.", "start_time": 2893.12, "end_time": 2896.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 797, "text": "Like I think I might just broke", "raw_text": "Like I think I might just broke", "start_time": 2896.44, "end_time": 2898.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 798, "text": "it or we force.", "raw_text": "it or we force.", "start_time": 2898.32, "end_time": 2902.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 799, "text": "It's like oh you work service.", "raw_text": "It's like oh you work service.", "start_time": 2902.65, "end_time": 2904.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 800, "text": "But that's where like after I tried to one shot it, that's where it was tripped up at.", "raw_text": "But that's where like after I tried to one shot it, that's where it was tripped up at.", "start_time": 2904.01, "end_time": 2908.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 801, "text": "So I gotta make sure it's there.", "raw_text": "So I gotta make sure it's there.", "start_time": 2908.17, "end_time": 2909.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 802, "text": "Okay.", "raw_text": "Okay.", "start_time": 2909.73, "end_time": 2910.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 803, "text": "But yeah, once we get the environment stuff sorted out like the blocker for me in terms of marketing sales demo stuff is once we get the sales demo environment set up, I'll just start doing like the vertical specific demos with Reed.", "raw_text": "But yeah, once we get the environment stuff sorted out like the blocker for me in terms of marketing sales demo stuff is once we get the sales demo environment set up, I'll just start doing like the vertical specific demos with Reed.", "start_time": 2913.97, "end_time": 2924.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 804, "text": "But I'm kind of blocked on that.", "raw_text": "But I'm kind of blocked on that.", "start_time": 2924.61, "end_time": 2925.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 805, "text": "That's why I wanted to do that.", "raw_text": "That's why I wanted to do that.", "start_time": 2925.77, "end_time": 2926.85, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 806, "text": "Or yeah, we can do that on the app side for sure.", "raw_text": "Or yeah, we can do that on the app side for sure.", "start_time": 2926.85, "end_time": 2929.75, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 807, "text": "I guess it's the data platform question.", "raw_text": "I guess it's the data platform question.", "start_time": 2929.75, "end_time": 2931.35, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 808, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2931.35, "end_time": 2931.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 809, "text": "And then too like what do we want to demo?", "raw_text": "And then too like what do we want to demo?", "start_time": 2931.67, "end_time": 2933.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 810, "text": "I guess like if the app side's easier we'll just get that done and then I could just do like the prompts that we've been doing and then worry about the data platform after like just so we can start getting read into it and making videos.", "raw_text": "I guess like if the app side's easier we'll just get that done and then I could just do like the prompts that we've been doing and then worry about the data platform after like just so we can start getting read into it and making videos.", "start_time": 2933.11, "end_time": 2942.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 811, "text": "Like that's fine.", "raw_text": "Like that's fine.", "start_time": 2942.43, "end_time": 2943.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 812, "text": "Did you want to set up like a demo branch and that would be different from our staging branch.", "raw_text": "Did you want to set up like a demo branch and that would be different from our staging branch.", "start_time": 2943.07, "end_time": 2947.59, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 813, "text": "So we talked like last week about like just keeping them on the same branch of main.", "raw_text": "So we talked like last week about like just keeping them on the same branch of main.", "start_time": 2948.31, "end_time": 2952.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 814, "text": "Yeah, I'm.", "raw_text": "Yeah, I'm.", "start_time": 2952.63, "end_time": 2953.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 815, "text": "I'm kind of like we were going to run off a main and then run it with different instances.", "raw_text": "I'm kind of like we were going to run off a main and then run it with different instances.", "start_time": 2953.43, "end_time": 2956.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 816, "text": "But honestly, I guess it kind of depends what we start demoing.", "raw_text": "But honestly, I guess it kind of depends what we start demoing.", "start_time": 2956.83, "end_time": 2959.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 817, "text": "I want to like add in things that wouldn't be in our main.", "raw_text": "I want to like add in things that wouldn't be in our main.", "start_time": 2959.33, "end_time": 2961.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 818, "text": "Like it probably would make sense to have a separate branch.", "raw_text": "Like it probably would make sense to have a separate branch.", "start_time": 2961.69, "end_time": 2964.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 819, "text": "I think we should just call it a demo branch.", "raw_text": "I think we should just call it a demo branch.", "start_time": 2964.13, "end_time": 2965.81, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 820, "text": "I agree with the demo branch.", "raw_text": "I agree with the demo branch.", "start_time": 2965.81, "end_time": 2966.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 821, "text": "I think that would make the most sense.", "raw_text": "I think that would make the most sense.", "start_time": 2966.97, "end_time": 2968.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 822, "text": "But like I'm open to dealing.", "raw_text": "But like I'm open to dealing.", "start_time": 2968.25, "end_time": 2969.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 823, "text": "You want to spin that up?", "raw_text": "You want to spin that up?", "start_time": 2970.05, "end_time": 2971.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 824, "text": "I think that'd be.", "raw_text": "I think that'd be.", "start_time": 2971.13, "end_time": 2971.97, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 825, "text": "And then we'll just spin that.", "raw_text": "And then we'll just spin that.", "start_time": 2972.05, "end_time": 2973.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 826, "text": "I'll spin up a demo branch and then I'll configure it to the same Versal project and then give it its own database and then just start doing stuff in there.", "raw_text": "I'll spin up a demo branch and then I'll configure it to the same Versal project and then give it its own database and then just start doing stuff in there.", "start_time": 2973.53, "end_time": 2980.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 827, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2980.69, "end_time": 2981.09, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 828, "text": "And then I guess my question there is like, if I want to, okay, I think I can move forward with that.", "raw_text": "And then I guess my question there is like, if I want to, okay, I think I can move forward with that.", "start_time": 2981.09, "end_time": 2986.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 829, "text": "But if I want to go in there, I want to make like a manufacturing demo and like a healthcare demo.", "raw_text": "But if I want to go in there, I want to make like a manufacturing demo and like a healthcare demo.", "start_time": 2986.09, "end_time": 2990.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 830, "text": "But right now we're multi tenant, so I could do that.", "raw_text": "But right now we're multi tenant, so I could do that.", "start_time": 2991.13, "end_time": 2993.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 831, "text": "But if we go to single tenant, like then what do we do?", "raw_text": "But if we go to single tenant, like then what do we do?", "start_time": 2994.01, "end_time": 2996.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 832, "text": "Or like, because I was confused, like that was like, I want to talk to that too.", "raw_text": "Or like, because I was confused, like that was like, I want to talk to that too.", "start_time": 2996.89, "end_time": 3000.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 833, "text": "But I can just take it as it is.", "raw_text": "But I can just take it as it is.", "start_time": 3000.01, "end_time": 3001.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 834, "text": "Run a multi tenant.", "raw_text": "Run a multi tenant.", "start_time": 3001.53, "end_time": 3002.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 835, "text": "Or my workaround is going to be just hard code a ton of JSON with a variable and just switch it.", "raw_text": "Or my workaround is going to be just hard code a ton of JSON with a variable and just switch it.", "start_time": 3002.65, "end_time": 3007.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 836, "text": "But I know that's not like best case.", "raw_text": "But I know that's not like best case.", "start_time": 3007.93, "end_time": 3009.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 837, "text": "But I was like, I just need to do something.", "raw_text": "But I was like, I just need to do something.", "start_time": 3009.37, "end_time": 3011.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 838, "text": "Yeah, now that makes sense.", "raw_text": "Yeah, now that makes sense.", "start_time": 3011.29, "end_time": 3013.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 839, "text": "Sense because now I can just put some scripts together.", "raw_text": "Sense because now I can just put some scripts together.", "start_time": 3013.45, "end_time": 3017.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 840, "text": "We have something easy to demo for all our sales guys.", "raw_text": "We have something easy to demo for all our sales guys.", "start_time": 3017.33, "end_time": 3019.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 841, "text": "And like I think my test is like just get read to figure it out.", "raw_text": "And like I think my test is like just get read to figure it out.", "start_time": 3019.41, "end_time": 3021.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 842, "text": "Then like any.", "raw_text": "Then like any.", "start_time": 3021.97, "end_time": 3022.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 843, "text": "All of our guys can figure it out.", "raw_text": "All of our guys can figure it out.", "start_time": 3022.49, "end_time": 3023.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 844, "text": "Well, at least initially.", "raw_text": "Well, at least initially.", "start_time": 3023.61, "end_time": 3024.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 845, "text": "Like if you get the demo branch like isolated now we can use the existing like forge to handle that.", "raw_text": "Like if you get the demo branch like isolated now we can use the existing like forge to handle that.", "start_time": 3024.45, "end_time": 3029.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 846, "text": "Yeah, I'll do that right now.", "raw_text": "Yeah, I'll do that right now.", "start_time": 3029.73, "end_time": 3030.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 847, "text": "I'll just pull it off.", "raw_text": "I'll just pull it off.", "start_time": 3030.49, "end_time": 3031.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 848, "text": "I'll just copy.", "raw_text": "I'll just copy.", "start_time": 3031.09, "end_time": 3031.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 849, "text": "Then we're at least isolated.", "raw_text": "Then we're at least isolated.", "start_time": 3032.01, "end_time": 3033.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 850, "text": "And then whenever, depending on if it's me or Boon gets the multi tenant stuff or you like.", "raw_text": "And then whenever, depending on if it's me or Boon gets the multi tenant stuff or you like.", "start_time": 3033.33, "end_time": 3039.13, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 851, "text": "Yeah, no, that works.", "raw_text": "Yeah, no, that works.", "start_time": 3039.48, "end_time": 3040.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 852, "text": "If you do, I can pack in.", "raw_text": "If you do, I can pack in.", "start_time": 3041.16, "end_time": 3042.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 853, "text": "That's where the multi tenants that I'm like, let's kick that down the road because yeah, it doesn't matter too much as long as like your codes like like not trying to do extra just to make it keep working.", "raw_text": "That's where the multi tenants that I'm like, let's kick that down the road because yeah, it doesn't matter too much as long as like your codes like like not trying to do extra just to make it keep working.", "start_time": 3042.52, "end_time": 3054.68, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 854, "text": "That'll be fine.", "raw_text": "That'll be fine.", "start_time": 3055.56, "end_time": 3056.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 855, "text": "Yeah, it's just there.", "raw_text": "Yeah, it's just there.", "start_time": 3056.28, "end_time": 3057.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 856, "text": "Yeah, agreed.", "raw_text": "Yeah, agreed.", "start_time": 3057.72, "end_time": 3059, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 857, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3059.4, "end_time": 3059.84, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 858, "text": "Which isn't the worst thing.", "raw_text": "Which isn't the worst thing.", "start_time": 3059.84, "end_time": 3060.92, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 859, "text": "That sounds fine.", "raw_text": "That sounds fine.", "start_time": 3061, "end_time": 3062.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 860, "text": "So then I'll do that.", "raw_text": "So then I'll do that.", "start_time": 3066.05, "end_time": 3068.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 861, "text": "I'll work on that environment first and then you want me to work on the Cube stuff or pause on the cube node until you do that.", "raw_text": "I'll work on that environment first and then you want me to work on the Cube stuff or pause on the cube node until you do that.", "start_time": 3069.25, "end_time": 3074.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 862, "text": "Just make that your last item.", "raw_text": "Just make that your last item.", "start_time": 3078.21, "end_time": 3079.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 863, "text": "Okay.", "raw_text": "Okay.", "start_time": 3080.29, "end_time": 3080.769, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 864, "text": "And then we can check in to see where I'm at.", "raw_text": "And then we can check in to see where I'm at.", "start_time": 3080.769, "end_time": 3082.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 865, "text": "So then, because you may want to look at.", "raw_text": "So then, because you may want to look at.", "start_time": 3083.41, "end_time": 3085.33, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 866, "text": "When you look into that, you may want to look.", "raw_text": "When you look into that, you may want to look.", "start_time": 3085.41, "end_time": 3087.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 867, "text": "Change how skills work all together.", "raw_text": "Change how skills work all together.", "start_time": 3088.77, "end_time": 3090.37, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 868, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3092.18, "end_time": 3092.38, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 869, "text": "Because I want to look at how that sandbox is functioning.", "raw_text": "Because I want to look at how that sandbox is functioning.", "start_time": 3092.38, "end_time": 3095.54, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 870, "text": "How we get, like, better.", "raw_text": "How we get, like, better.", "start_time": 3095.54, "end_time": 3096.5, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 871, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3097.22, "end_time": 3097.7, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 872, "text": "Make that abstraction a little better.", "raw_text": "Make that abstraction a little better.", "start_time": 3097.78, "end_time": 3099.3, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 873, "text": "And then really, like, we should look at, like, if it even makes sense to make the cube a scale.", "raw_text": "And then really, like, we should look at, like, if it even makes sense to make the cube a scale.", "start_time": 3099.78, "end_time": 3105.78, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 874, "text": "I was just doing it kind of like that's how like Open Paul was doing everything.", "raw_text": "I was just doing it kind of like that's how like Open Paul was doing everything.", "start_time": 3106.82, "end_time": 3110.58, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 875, "text": "But then when I saw that the RMCP worked so well and Claude, I was like, well, this is just like", "raw_text": "But then when I saw that the RMCP worked so well and Claude, I was like, well, this is just like", "start_time": 3111.14, "end_time": 3117.1, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 876, "text": "the same exact thing, really.", "raw_text": "the same exact thing, really.", "start_time": 3117.1, "end_time": 3118.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 877, "text": "Just a more official way.", "raw_text": "Just a more official way.", "start_time": 3119.41, "end_time": 3120.61, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 878, "text": "But yeah, we can.", "raw_text": "But yeah, we can.", "start_time": 3120.61, "end_time": 3122.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 879, "text": "We can do it.", "raw_text": "We can do it.", "start_time": 3123.49, "end_time": 3124.45, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 880, "text": "It's funny.", "raw_text": "It's funny.", "start_time": 3125.49, "end_time": 3126.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 881, "text": "Oh, man.", "raw_text": "Oh, man.", "start_time": 3126.21, "end_time": 3126.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 882, "text": "So I don't know.", "raw_text": "So I don't know.", "start_time": 3126.73, "end_time": 3127.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 883, "text": "I didn't realize how.", "raw_text": "I didn't realize how.", "start_time": 3127.29, "end_time": 3128.05, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 884, "text": "I don't know how it works actually.", "raw_text": "I don't know how it works actually.", "start_time": 3128.05, "end_time": 3129.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 885, "text": "But, like, my custom Morland MCP is now available through my Claude code.", "raw_text": "But, like, my custom Morland MCP is now available through my Claude code.", "start_time": 3129.29, "end_time": 3136.29, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 886, "text": "Like, even though I registered it in Claude sh.", "raw_text": "Like, even though I registered it in Claude sh.", "start_time": 3138.29, "end_time": 3140.53, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 887, "text": "Oh, okay.", "raw_text": "Oh, okay.", "start_time": 3140.85, "end_time": 3141.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 888, "text": "With the OAuth.", "raw_text": "With the OAuth.", "start_time": 3141.45, "end_time": 3142.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 889, "text": "Now they're linked.", "raw_text": "Now they're linked.", "start_time": 3142.13, "end_time": 3142.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 890, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3142.89, "end_time": 3143.17, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 891, "text": "Like, if I'm on my CLI.", "raw_text": "Like, if I'm on my CLI.", "start_time": 3143.17, "end_time": 3144.61, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 892, "text": "No kidding.", "raw_text": "No kidding.", "start_time": 3145.04, "end_time": 3145.64, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 893, "text": "Like, I'll ask and I'll.", "raw_text": "Like, I'll ask and I'll.", "start_time": 3145.64, "end_time": 3146.96, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 894, "text": "I've been trying to like, get to test using my.", "raw_text": "I've been trying to like, get to test using my.", "start_time": 3146.96, "end_time": 3149.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 895, "text": "So I have a local Morland cube skill in there as well, and it'll start using the MCP and it'll be like, the data's not there.", "raw_text": "So I have a local Morland cube skill in there as well, and it'll start using the MCP and it'll be like, the data's not there.", "start_time": 3149.56, "end_time": 3156, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 896, "text": "And I have to remind that the MCP's prod.", "raw_text": "And I have to remind that the MCP's prod.", "start_time": 3156.08, "end_time": 3158.12, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 897, "text": "I was like, that's prod data.", "raw_text": "I was like, that's prod data.", "start_time": 3158.12, "end_time": 3159.16, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 898, "text": "You have to use the skill.", "raw_text": "You have to use the skill.", "start_time": 3159.16, "end_time": 3160.4, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 899, "text": "That's pretty sweet.", "raw_text": "That's pretty sweet.", "start_time": 3161.6, "end_time": 3162.64, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 900, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3162.72, "end_time": 3163.2, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 901, "text": "But like, yeah, the moral.", "raw_text": "But like, yeah, the moral.", "start_time": 3163.84, "end_time": 3165.24, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 902, "text": "And MCP is available through my client code.", "raw_text": "And MCP is available through my client code.", "start_time": 3165.24, "end_time": 3167.6, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 903, "text": "That's cool.", "raw_text": "That's cool.", "start_time": 3167.84, "end_time": 3168.56, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 904, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3170, "end_time": 3170.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 905, "text": "I wonder then if it's your enterprise, if it's trumping it because, like, enterprise ones will go first.", "raw_text": "I wonder then if it's your enterprise, if it's trumping it because, like, enterprise ones will go first.", "start_time": 3170.36, "end_time": 3174.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 906, "text": "But I'm like, don't.", "raw_text": "But I'm like, don't.", "start_time": 3175.37, "end_time": 3176.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 907, "text": "Don't use the mcp.", "raw_text": "Don't use the mcp.", "start_time": 3176.21, "end_time": 3177.37, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 908, "text": "That's prod.", "raw_text": "That's prod.", "start_time": 3177.37, "end_time": 3177.93, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 909, "text": "Like, we're running this locally.", "raw_text": "Like, we're running this locally.", "start_time": 3177.93, "end_time": 3179.77, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 910, "text": "Hey, that'd be sweet for like dev context stuff.", "raw_text": "Hey, that'd be sweet for like dev context stuff.", "start_time": 3179.77, "end_time": 3182.25, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 911, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3182.57, "end_time": 3182.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 912, "text": "No, actually, if you have you.", "raw_text": "No, actually, if you have you.", "start_time": 3182.93, "end_time": 3184.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 913, "text": "That's dope.", "raw_text": "That's dope.", "start_time": 3184.45, "end_time": 3185.21, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 914, "text": "They talk about this in that quad training we have to do, like, if you read through that, like the first course, like third and fourth module, they have a really good description on like, skills versus slash commands versus, like cloud MD files and tools.", "raw_text": "They talk about this in that quad training we have to do, like, if you read through that, like the first course, like third and fourth module, they have a really good description on like, skills versus slash commands versus, like cloud MD files and tools.", "start_time": 3185.37, "end_time": 3201.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 915, "text": "And then how it would be difference between like enterprise personal or like, it's pretty good like that.", "raw_text": "And then how it would be difference between like enterprise personal or like, it's pretty good like that.", "start_time": 3201.17, "end_time": 3206.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 916, "text": "It's just quick read.", "raw_text": "It's just quick read.", "start_time": 3206.41, "end_time": 3207.65, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 917, "text": "I'm thinking like, spin up the.", "raw_text": "I'm thinking like, spin up the.", "start_time": 3207.81, "end_time": 3209.57, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 918, "text": "You spin up a linear.", "raw_text": "You spin up a linear.", "start_time": 3209.73, "end_time": 3211.01, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 919, "text": "You spin up a sandbox to solve a linear ticket for one project and it can reference like the transcript and get project context right away.", "raw_text": "You spin up a sandbox to solve a linear ticket for one project and it can reference like the transcript and get project context right away.", "start_time": 3211.09, "end_time": 3218.61, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 920, "text": "That'd be sick.", "raw_text": "That'd be sick.", "start_time": 3218.93, "end_time": 3219.73, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 921, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3219.73, "end_time": 3220.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 922, "text": "I have one more question on like direct next steps.", "raw_text": "I have one more question on like direct next steps.", "start_time": 3220.21, "end_time": 3222.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 923, "text": "I'll do.", "raw_text": "I'll do.", "start_time": 3222.29, "end_time": 3222.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 924, "text": "I'll do the environment stuff and then in terms of all the use cases stuff we talked about on Thursday, I think it maps out to like four different things and I have a few different steps.", "raw_text": "I'll do the environment stuff and then in terms of all the use cases stuff we talked about on Thursday, I think it maps out to like four different things and I have a few different steps.", "start_time": 3222.77, "end_time": 3231.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 925, "text": "Like do you want to just have another meeting in the next couple days and I can just like run a brief on like what I think we should do and then take your thoughts and like work on it that way.", "raw_text": "Like do you want to just have another meeting in the next couple days and I can just like run a brief on like what I think we should do and then take your thoughts and like work on it that way.", "start_time": 3231.19, "end_time": 3239.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 926, "text": "Like would that be useful?", "raw_text": "Like would that be useful?", "start_time": 3239.03, "end_time": 3240.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 927, "text": "Sure.", "raw_text": "Sure.", "start_time": 3240.83, "end_time": 3241.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 928, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3241.15, "end_time": 3241.43, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 929, "text": "Probably just us three, like engineering side.", "raw_text": "Probably just us three, like engineering side.", "start_time": 3241.43, "end_time": 3244.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 930, "text": "I'll just put a meeting on the calendar and then like prep it and then show you guys what I'm thinking and then go from there.", "raw_text": "I'll just put a meeting on the calendar and then like prep it and then show you guys what I'm thinking and then go from there.", "start_time": 3244.75, "end_time": 3249.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 931, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 3249.63, "end_time": 3250.19, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 932, "text": "All right, that works.", "raw_text": "All right, that works.", "start_time": 3250.67, "end_time": 3251.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 933, "text": "It gives me stuff to do.", "raw_text": "It gives me stuff to do.", "start_time": 3252.51, "end_time": 3253.95, "speaker_id": 0, "speaker_name": "David Boone"}, {"index": 934, "text": "It.", "raw_text": "It.", "start_time": 3254.74, "end_time": 3254.98, "speaker_id": 0, "speaker_name": "David Boone"}]
participant_count
5
participants
[{"email": "caden.kacmarynski@morelandconnect.com", "name": null}, {"email": "justin.wray@morelandconnect.com", "name": null}, {"email": "mark.murphy@morelandconnect.com", "name": null}, {"email": "david.boone@morelandconnect.com", "name": null}, {"email": "nick.buzzy@morelandconnect.com", "name": null}]
provider
fireflies
_dlt_meta
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| fireflies | 01KP6AX9SQTQY6MHCNT27J3BF7 | Foundation Stand up | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_fireflies_meetings
id
01KP6AX9SQTQY6MHCNT27J3BF7
title
Foundation Stand up
date
2026-04-21 15:00:00+00:00
duration_minutes
40
duration
40
transcript_url
https://app.fireflies.ai/view/01KP6AX9SQTQY6MHCNT27J3BF7
meeting_link
https://teams.microsoft.com/l/meetup-join/19:meeting_N2RjNGFmMmUtMTY4NC00Y2NiLWIyYzctYzA4ODZkNTkzMDEx@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}
short_summary
The team discussed their progress on the mobile app prototype, which is ready for a pull request to facilitate integration and testing. They emphasized the importance of early PR submissions to avoid bottlenecks in development. Upcoming plans include launching vertical-specific demo videos to enhance marketing efforts. The discussion also highlighted the demand for custom software, reflecting clients' preferences for tailored solutions despite available no-code alternatives. Moreover, the importance of a layered approach to data sharing and governance was noted to balance security and collaboration. Finally, the team proposed monthly knowledge-sharing sessions to promote internal learning and sharing of project successes.
action_items
"\\n**Mark Murphy**\\nSchedule a cleanup session to archive or delete unused items in Vercel and Supabase platforms to resolve login and data clutter issues (00:10)\\nSubmit a pull request for the app builder coding work by the end of the week or by the next standup meeting to advance development progress (05:45)\\nCreate a draft plan for video and content marketing efforts focused on vertical-specific demos, aiming to start production next week with marketing collaboration (07:05)\\nHelp architect sharing solutions for Tesla group data using blob storage and ETL coordination to improve cross-team collaboration and data management (08:50)\\nOrganize recurring 10-20 minute lightning demos or AI project lunch-and-learn sessions to enhance internal knowledge sharing and keep team updated on AI developments (35:45)\\nArrange and prepare agenda for an extended next Tuesday standup meeting including expert Sam to discuss data strategy, LLM wiki, and planning in light of market and Claude platform advancements (38:30)\\n\\n**Caden Kacmarynski**\\nAssist in exploring the ability to share Tesla group data and help clean up projects to support data governance and integration with Claude platform roadmap (08:50)\\nFollow up on readiness to integrate multi-level data governance approach and Claude platform capabilities to manage enterprise data and knowledge bases (10:55)\\n\\n**Justin Wray**\\nCoordinate training initiatives to enable users to effectively utilize foundational tools and Claude platform, reducing manual reporting and empowering business staff (30:10)\\n\\n**Team**\\nEncourage team participation in planned monthly or bimonthly demo and lunch sessions to share projects and AI insights, fostering collaboration and knowledge exchange (36:00)\\n"
transcript_text
[{"index": 0, "text": "We just hit the singularity there.", "raw_text": "We just hit the singularity there.", "start_time": 2.56, "end_time": 4.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 1, "text": "First up, are you.", "raw_text": "First up, are you.", "start_time": 5.84, "end_time": 6.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 2, "text": "Are you guys good on herself today?", "raw_text": "Are you guys good on herself today?", "start_time": 7.04, "end_time": 8.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 3, "text": "I can't log in, like, no matter what browser, how hard I refresh it.", "raw_text": "I can't log in, like, no matter what browser, how hard I refresh it.", "start_time": 8.56, "end_time": 12.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 4, "text": "It's like trying to put something on Vercel and my side account.", "raw_text": "It's like trying to put something on Vercel and my side account.", "start_time": 12.08, "end_time": 14.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 5, "text": "I can't log in, so I don't know if they're down or, like, something in my browser.", "raw_text": "I can't log in, so I don't know if they're down or, like, something in my browser.", "start_time": 14.8, "end_time": 18.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 6, "text": "No, I'm good.", "raw_text": "No, I'm good.", "start_time": 18.32, "end_time": 19.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 7, "text": "I tried it in coffee.", "raw_text": "I tried it in coffee.", "start_time": 19.36, "end_time": 20.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 8, "text": "Go to.", "raw_text": "Go to.", "start_time": 20.4, "end_time": 20.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 9, "text": "I'll just deal with it later.", "raw_text": "I'll just deal with it later.", "start_time": 21.28, "end_time": 22.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 10, "text": "I was trying to put something up for Paul.", "raw_text": "I was trying to put something up for Paul.", "start_time": 22.44, "end_time": 23.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 11, "text": "It's not like, pressing, but.", "raw_text": "It's not like, pressing, but.", "start_time": 23.76, "end_time": 24.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 12, "text": "Oh, I wanted to deal with you two at some point.", "raw_text": "Oh, I wanted to deal with you two at some point.", "start_time": 25.85, "end_time": 30.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 13, "text": "Comb through Vercel and, like, Supabase for, like, stuff we can archive slash delete.", "raw_text": "Comb through Vercel and, like, Supabase for, like, stuff we can archive slash delete.", "start_time": 30.97, "end_time": 36.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 14, "text": "I'm pretty open tomorrow pre book today, so.", "raw_text": "I'm pretty open tomorrow pre book today, so.", "start_time": 37.13, "end_time": 39.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 15, "text": "Okay.", "raw_text": "Okay.", "start_time": 39.49, "end_time": 39.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 16, "text": "I'm gonna throw something on the counter tomorrow.", "raw_text": "I'm gonna throw something on the counter tomorrow.", "start_time": 39.77, "end_time": 41.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 17, "text": "Pretty.", "raw_text": "Pretty.", "start_time": 41.21, "end_time": 41.529, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 18, "text": "I'm gonna be.", "raw_text": "I'm gonna be.", "start_time": 41.529, "end_time": 42.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 19, "text": "I might go remote tomorrow, but, like.", "raw_text": "I might go remote tomorrow, but, like.", "start_time": 42.89, "end_time": 44.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 20, "text": "Or I can come in actually, because I think there's.", "raw_text": "Or I can come in actually, because I think there's.", "start_time": 44.41, "end_time": 46.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 21, "text": "In person interview tomorrow.", "raw_text": "In person interview tomorrow.", "start_time": 46.01, "end_time": 47.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 22, "text": "Yeah, there's a.", "raw_text": "Yeah, there's a.", "start_time": 48.57, "end_time": 49.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 23, "text": "There's a couple.", "raw_text": "There's a couple.", "start_time": 49.57, "end_time": 50.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 24, "text": "Oh, check this out, though.", "raw_text": "Oh, check this out, though.", "start_time": 51.14, "end_time": 52.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 25, "text": "So I was trying to mock up.", "raw_text": "So I was trying to mock up.", "start_time": 52.06, "end_time": 53.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 26, "text": "I was trying to mock up that mobile app for Samir, and I literally was like, let's make a plan to PRD this.", "raw_text": "I was trying to mock up that mobile app for Samir, and I literally was like, let's make a plan to PRD this.", "start_time": 53.14, "end_time": 59.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 27, "text": "And it's just like, here you go.", "raw_text": "And it's just like, here you go.", "start_time": 59.34, "end_time": 60.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 28, "text": "It's done.", "raw_text": "It's done.", "start_time": 60.3, "end_time": 60.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 29, "text": "All right.", "raw_text": "All right.", "start_time": 60.9, "end_time": 61.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 30, "text": "No, and like, you can, like, click through it.", "raw_text": "No, and like, you can, like, click through it.", "start_time": 61.34, "end_time": 63.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 31, "text": "That's pretty cool.", "raw_text": "That's pretty cool.", "start_time": 65.54, "end_time": 66.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 32, "text": "Yeah, and like, click through it and it's like, this is what the scanning's like.", "raw_text": "Yeah, and like, click through it and it's like, this is what the scanning's like.", "start_time": 66.46, "end_time": 69.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 33, "text": "And then one of these should, like.", "raw_text": "And then one of these should, like.", "start_time": 69.38, "end_time": 70.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 34, "text": "Oh, wait, there we go.", "raw_text": "Oh, wait, there we go.", "start_time": 70.9, "end_time": 71.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 35, "text": "Here's like, the guard rails.", "raw_text": "Here's like, the guard rails.", "start_time": 71.86, "end_time": 73.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 36, "text": "Like, if the scan doesn't work, then you can, like, skip through it.", "raw_text": "Like, if the scan doesn't work, then you can, like, skip through it.", "start_time": 73.34, "end_time": 76.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 37, "text": "Like, no way.", "raw_text": "Like, no way.", "start_time": 77.2, "end_time": 77.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 38, "text": "This just works.", "raw_text": "This just works.", "start_time": 77.76, "end_time": 78.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 39, "text": "I was like.", "raw_text": "I was like.", "start_time": 81.04, "end_time": 81.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 40, "text": "I was like, paul, is this good?", "raw_text": "I was like, paul, is this good?", "start_time": 83.12, "end_time": 84.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 41, "text": "He's like, yeah, just send it to him.", "raw_text": "He's like, yeah, just send it to him.", "start_time": 84.2, "end_time": 85.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 42, "text": "That's cool.", "raw_text": "That's cool.", "start_time": 87.76, "end_time": 88.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 43, "text": "Oh, I need to get a.", "raw_text": "Oh, I need to get a.", "start_time": 93.28, "end_time": 94.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 44, "text": "He'll do that now I'm in here.", "raw_text": "He'll do that now I'm in here.", "start_time": 96.16, "end_time": 98.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 45, "text": "I need to get the foundation MCP set set back up.", "raw_text": "I need to get the foundation MCP set set back up.", "start_time": 98.8, "end_time": 102.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 46, "text": "My thesis got rejected, so I had like.", "raw_text": "My thesis got rejected, so I had like.", "start_time": 114.33, "end_time": 117.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 47, "text": "For formatting for the stupid accessibility things, which I didn't do right when I was in airport security.", "raw_text": "For formatting for the stupid accessibility things, which I didn't do right when I was in airport security.", "start_time": 117.13, "end_time": 121.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 48, "text": "So they're all based at me.", "raw_text": "So they're all based at me.", "start_time": 121.69, "end_time": 123.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 49, "text": "That sucks.", "raw_text": "That sucks.", "start_time": 123.37, "end_time": 123.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 50, "text": "I was, like, doing that last minute, like, 20 days late, like, doing it last night.", "raw_text": "I was, like, doing that last minute, like, 20 days late, like, doing it last night.", "start_time": 123.97, "end_time": 127.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 51, "text": "What do I.", "raw_text": "What do I.", "start_time": 127.65, "end_time": 128.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 52, "text": "What do I need to add here or should.", "raw_text": "What do I need to add here or should.", "start_time": 128.25, "end_time": 130.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 53, "text": "That's work.", "raw_text": "That's work.", "start_time": 131.55, "end_time": 132.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 54, "text": "Yeah, I think mine's broken.", "raw_text": "Yeah, I think mine's broken.", "start_time": 139.15, "end_time": 140.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 55, "text": "All right, go for this thing.", "raw_text": "All right, go for this thing.", "start_time": 142.51, "end_time": 143.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 56, "text": "Connectors and just say connect should make you log in.", "raw_text": "Connectors and just say connect should make you log in.", "start_time": 144.67, "end_time": 151.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 57, "text": "Do I have to do the top one?", "raw_text": "Do I have to do the top one?", "start_time": 154.43, "end_time": 155.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 58, "text": "Yeah, I think.", "raw_text": "Yeah, I think.", "start_time": 155.59, "end_time": 157.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 59, "text": "Unless you have a.", "raw_text": "Unless you have a.", "start_time": 157.5, "end_time": 158.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 60, "text": "So this is what we got to clean up.", "raw_text": "So this is what we got to clean up.", "start_time": 159.46, "end_time": 160.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 61, "text": "That thing's messed up, So I probably won't redirect you but now just go back.", "raw_text": "That thing's messed up, So I probably won't redirect you but now just go back.", "start_time": 160.86, "end_time": 169.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 62, "text": "That's a good question.", "raw_text": "That's a good question.", "start_time": 169.22, "end_time": 170.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 63, "text": "Connect again.", "raw_text": "Connect again.", "start_time": 171.86, "end_time": 172.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 64, "text": "Show me the staffing for this month for more.", "raw_text": "Show me the staffing for this month for more.", "start_time": 174.18, "end_time": 176.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 65, "text": "Nice.", "raw_text": "Nice.", "start_time": 177.94, "end_time": 178.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 66, "text": "So then it has like built in skills to it.", "raw_text": "So then it has like built in skills to it.", "start_time": 182.19, "end_time": 184.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 67, "text": "Like certain trigger words that you could.", "raw_text": "Like certain trigger words that you could.", "start_time": 184.63, "end_time": 186.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 68, "text": "If you hover over your connector, you can kind of see what they are.", "raw_text": "If you hover over your connector, you can kind of see what they are.", "start_time": 186.63, "end_time": 189.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 69, "text": "Some of them are actually.", "raw_text": "Some of them are actually.", "start_time": 190.35, "end_time": 191.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 70, "text": "It's like messed up.", "raw_text": "It's like messed up.", "start_time": 191.79, "end_time": 192.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 71, "text": "It's like crossover to the demo org so you can ignore those.", "raw_text": "It's like crossover to the demo org so you can ignore those.", "start_time": 192.79, "end_time": 195.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 72, "text": "Oh, these guys?", "raw_text": "Oh, these guys?", "start_time": 209.72, "end_time": 210.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 73, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 211.08, "end_time": 211.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 74, "text": "Like these ones at the top are what Boone did for the Jewel demo, but they don't actually work.", "raw_text": "Like these ones at the top are what Boone did for the Jewel demo, but they don't actually work.", "start_time": 212.04, "end_time": 219.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 75, "text": "But the ones below are like demand analysis.", "raw_text": "But the ones below are like demand analysis.", "start_time": 220.12, "end_time": 222.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 76, "text": "Nice.", "raw_text": "Nice.", "start_time": 223.24, "end_time": 223.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 77, "text": "Project life cycle.", "raw_text": "Project life cycle.", "start_time": 223.8, "end_time": 225.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 78, "text": "They do a pretty good job.", "raw_text": "They do a pretty good job.", "start_time": 226.36, "end_time": 227.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 79, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 227.8, "end_time": 228.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 80, "text": "That's sick.", "raw_text": "That's sick.", "start_time": 228.16, "end_time": 228.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 81, "text": "For mine, I just said like give me a plan versus actual dashboard by month and by project or something.", "raw_text": "For mine, I just said like give me a plan versus actual dashboard by month and by project or something.", "start_time": 228.84, "end_time": 237, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 82, "text": "But if you're not in cowork.", "raw_text": "But if you're not in cowork.", "start_time": 240.72, "end_time": 241.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 83, "text": "It's not.", "raw_text": "It's not.", "start_time": 241.92, "end_time": 242.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 84, "text": "I mean will it do it in here or no?", "raw_text": "I mean will it do it in here or no?", "start_time": 242.32, "end_time": 245.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 85, "text": "I don't think so.", "raw_text": "I don't think so.", "start_time": 245.04, "end_time": 245.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 86, "text": "The re usable artifacts.", "raw_text": "The re usable artifacts.", "start_time": 245.88, "end_time": 247.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 87, "text": "Maybe it will.", "raw_text": "Maybe it will.", "start_time": 247.6, "end_time": 248.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 88, "text": "Make no mistakes.", "raw_text": "Make no mistakes.", "start_time": 271.53, "end_time": 272.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 89, "text": "I not understand.", "raw_text": "I not understand.", "start_time": 280.41, "end_time": 281.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 90, "text": "Oh yeah, sure.", "raw_text": "Oh yeah, sure.", "start_time": 283.29, "end_time": 284.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 91, "text": "A lot of that thing architected live dash.", "raw_text": "A lot of that thing architected live dash.", "start_time": 284.21, "end_time": 288.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 92, "text": "You're in chat.", "raw_text": "You're in chat.", "start_time": 289.95, "end_time": 290.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 93, "text": "I'll be interested to see if this works.", "raw_text": "I'll be interested to see if this works.", "start_time": 290.59, "end_time": 292.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 94, "text": "I'll go.", "raw_text": "I'll go.", "start_time": 293.23, "end_time": 293.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 95, "text": "I'll let this run and then go do the same one and yeah, so I've got to.", "raw_text": "I'll let this run and then go do the same one and yeah, so I've got to.", "start_time": 293.87, "end_time": 301.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 96, "text": "There's like some known data issues.", "raw_text": "There's like some known data issues.", "start_time": 301.75, "end_time": 303.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 97, "text": "Why did I say give a created live artifact?", "raw_text": "Why did I say give a created live artifact?", "start_time": 305.47, "end_time": 308.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 98, "text": "Oops.", "raw_text": "Oops.", "start_time": 309.23, "end_time": 309.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 99, "text": "I guess I had a couple things for stand up.", "raw_text": "I guess I had a couple things for stand up.", "start_time": 316.6, "end_time": 320.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 100, "text": "The first of which was next steps.", "raw_text": "The first of which was next steps.", "start_time": 321.32, "end_time": 324.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 101, "text": "I guess I have a couple different routes to go for next steps.", "raw_text": "I guess I have a couple different routes to go for next steps.", "start_time": 324.16, "end_time": 327.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 102, "text": "And one, I guess the simplest one is I got that app builder thing.", "raw_text": "And one, I guess the simplest one is I got that app builder thing.", "start_time": 327.4, "end_time": 331.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 103, "text": "I can just work on coding and then put it like a PR request for that.", "raw_text": "I can just work on coding and then put it like a PR request for that.", "start_time": 331.76, "end_time": 335.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 104, "text": "So that was kind of like straightforward.", "raw_text": "So that was kind of like straightforward.", "start_time": 335.64, "end_time": 337.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 105, "text": "I can.", "raw_text": "I can.", "start_time": 337.32, "end_time": 337.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 106, "text": "Unless I can pull in more sales dev stuff should be able to do by end of this week by like next week stand up and not have that in.", "raw_text": "Unless I can pull in more sales dev stuff should be able to do by end of this week by like next week stand up and not have that in.", "start_time": 338.6, "end_time": 344.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 107, "text": "And then I don't know.", "raw_text": "And then I don't know.", "start_time": 344.77, "end_time": 346.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 108, "text": "I guess whenever I get that, I'll rebase it to the current stuff you have now.", "raw_text": "I guess whenever I get that, I'll rebase it to the current stuff you have now.", "start_time": 346.33, "end_time": 350.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 109, "text": "Good luck.", "raw_text": "Good luck.", "start_time": 350.61, "end_time": 351.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 110, "text": "I know because I'm like, I have to do it.", "raw_text": "I know because I'm like, I have to do it.", "start_time": 351.57, "end_time": 354.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 111, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 354.65, "end_time": 355.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 112, "text": "No, just.", "raw_text": "No, just.", "start_time": 355.49, "end_time": 356.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 113, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 356.17, "end_time": 356.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 114, "text": "And then I'll PR it to vain.", "raw_text": "And then I'll PR it to vain.", "start_time": 356.49, "end_time": 357.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 115, "text": "I think we want to just push that in, right?", "raw_text": "I think we want to just push that in, right?", "start_time": 358.37, "end_time": 360.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 116, "text": "Because like if we push that in and then like you don't want to give it to like safeguard.", "raw_text": "Because like if we push that in and then like you don't want to give it to like safeguard.", "start_time": 361.65, "end_time": 365.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 117, "text": "You just like hide it or like is there any more discussion or can I just kind of build and then put that new print.", "raw_text": "You just like hide it or like is there any more discussion or can I just kind of build and then put that new print.", "start_time": 365.25, "end_time": 370.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 118, "text": "Yeah, let's get into a PR and then we can.", "raw_text": "Yeah, let's get into a PR and then we can.", "start_time": 370.93, "end_time": 372.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 119, "text": "We can talk about it from there.", "raw_text": "We can talk about it from there.", "start_time": 372.49, "end_time": 373.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 120, "text": "So without knowing what the final state will look like.", "raw_text": "So without knowing what the final state will look like.", "start_time": 373.97, "end_time": 376.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 121, "text": "Yeah, that's question Answered there next would be two.", "raw_text": "Yeah, that's question Answered there next would be two.", "start_time": 376.21, "end_time": 380.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 122, "text": "Two other things.", "raw_text": "Two other things.", "start_time": 380.93, "end_time": 381.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 123, "text": "One is videos, content, stuff.", "raw_text": "One is videos, content, stuff.", "start_time": 381.77, "end_time": 384.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 124, "text": "I don't know if we're like pushing it right out with marketing.", "raw_text": "I don't know if we're like pushing it right out with marketing.", "start_time": 384.73, "end_time": 386.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 125, "text": "I know me and Paul have been talking like if we're doing.", "raw_text": "I know me and Paul have been talking like if we're doing.", "start_time": 386.97, "end_time": 389.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 126, "text": "I haven't been involved in those vivid front meetings.", "raw_text": "I haven't been involved in those vivid front meetings.", "start_time": 389.81, "end_time": 391.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 127, "text": "I know they're getting stuff going.", "raw_text": "I know they're getting stuff going.", "start_time": 391.69, "end_time": 392.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 128, "text": "So I could do.", "raw_text": "So I could do.", "start_time": 393.25, "end_time": 394.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 129, "text": "We could start doing.", "raw_text": "We could start doing.", "start_time": 394.09, "end_time": 395.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 130, "text": "I think not this week, but like next week once I get that in.", "raw_text": "I think not this week, but like next week once I get that in.", "start_time": 395.49, "end_time": 399.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 131, "text": "When they start doing those like vertical specific demos with like the demo work and start doing like videos.", "raw_text": "When they start doing those like vertical specific demos with like the demo work and start doing like videos.", "start_time": 399.39, "end_time": 404.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 132, "text": "Yeah, that's still a priority.", "raw_text": "Yeah, that's still a priority.", "start_time": 404.51, "end_time": 405.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 133, "text": "Yep.", "raw_text": "Yep.", "start_time": 406.11, "end_time": 406.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 134, "text": "I think that that came up in EOC or something about more content for a foundation.", "raw_text": "I think that that came up in EOC or something about more content for a foundation.", "start_time": 406.83, "end_time": 413.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 135, "text": "And maybe it's not like it could just be like videos but also just like one page or documents.", "raw_text": "And maybe it's not like it could just be like videos but also just like one page or documents.", "start_time": 413.39, "end_time": 421.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 136, "text": "Okay.", "raw_text": "Okay.", "start_time": 422.29, "end_time": 422.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 137, "text": "As well.", "raw_text": "As well.", "start_time": 422.61, "end_time": 423.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 138, "text": "But yeah, okay.", "raw_text": "But yeah, okay.", "start_time": 424.29, "end_time": 425.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 139, "text": "I'll start coming up.", "raw_text": "I'll start coming up.", "start_time": 425.53, "end_time": 426.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 140, "text": "I'll make.", "raw_text": "I'll make.", "start_time": 426.93, "end_time": 427.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 141, "text": "Draft a plan for that.", "raw_text": "Draft a plan for that.", "start_time": 427.41, "end_time": 428.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 142, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 428.61, "end_time": 429.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 143, "text": "And start taking action.", "raw_text": "And start taking action.", "start_time": 429.05, "end_time": 430.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 144, "text": "And then third thing, which is the longer discussion.", "raw_text": "And then third thing, which is the longer discussion.", "start_time": 430.45, "end_time": 433.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 145, "text": "So I met with before I had left and I really got to like resync on the Tesla group on the meetings I had with Christopher and Sam.", "raw_text": "So I met with before I had left and I really got to like resync on the Tesla group on the meetings I had with Christopher and Sam.", "start_time": 433.17, "end_time": 440.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 146, "text": "Kind of like what they had and I think like the immediate.", "raw_text": "Kind of like what they had and I think like the immediate.", "start_time": 440.45, "end_time": 443.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 147, "text": "And this kind of goes back to when we did our full group session with with them as well on use cases.", "raw_text": "And this kind of goes back to when we did our full group session with with them as well on use cases.", "start_time": 443.21, "end_time": 447.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 148, "text": "I think we identified that like the biz lead side of things, like the softer side needs the most immediate help.", "raw_text": "I think we identified that like the biz lead side of things, like the softer side needs the most immediate help.", "start_time": 448.48, "end_time": 454.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 149, "text": "But Sam kind of pointed out to me the other day, he's like, well, are you gonna like do anything right now?", "raw_text": "But Sam kind of pointed out to me the other day, he's like, well, are you gonna like do anything right now?", "start_time": 455.2, "end_time": 458.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 150, "text": "I was like, I think for him it's like he's doing pretty good with what he has.", "raw_text": "I was like, I think for him it's like he's doing pretty good with what he has.", "start_time": 458.96, "end_time": 461.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 151, "text": "And like Cloth is kind of shipping that feature and then as soon as they start sharing, it's good because he was asking about like sharing it across like the.", "raw_text": "And like Cloth is kind of shipping that feature and then as soon as they start sharing, it's good because he was asking about like sharing it across like the.", "start_time": 461.96, "end_time": 468.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 152, "text": "Or to each other.", "raw_text": "Or to each other.", "start_time": 468.6, "end_time": 469.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 153, "text": "Is that something I should try to prioritize or like the way that's one of those things that's like I bet you very close to Claude's roadmap.", "raw_text": "Is that something I should try to prioritize or like the way that's one of those things that's like I bet you very close to Claude's roadmap.", "start_time": 470, "end_time": 476.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 154, "text": "Yeah, Well, I don't know how well his is going to be shareable because he's pulling into like.", "raw_text": "Yeah, Well, I don't know how well his is going to be shareable because he's pulling into like.", "start_time": 477.58, "end_time": 488.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 155, "text": "But if we could recreate like everything through data only and then it's a foundation thing.", "raw_text": "But if we could recreate like everything through data only and then it's a foundation thing.", "start_time": 488.38, "end_time": 492.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 156, "text": "Yeah, that's foundation.", "raw_text": "Yeah, that's foundation.", "start_time": 492.859, "end_time": 494.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 157, "text": "But.", "raw_text": "But.", "start_time": 494.22, "end_time": 494.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 158, "text": "Or it could be.", "raw_text": "Or it could be.", "start_time": 494.54, "end_time": 495.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 159, "text": "It's still being Claude.", "raw_text": "It's still being Claude.", "start_time": 495.3, "end_time": 496.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 160, "text": "Like we.", "raw_text": "Like we.", "start_time": 496.42, "end_time": 496.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 161, "text": "But all the data lives in foundation.", "raw_text": "But all the data lives in foundation.", "start_time": 497.5, "end_time": 499.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 162, "text": "He's basically like running his own ETLs.", "raw_text": "He's basically like running his own ETLs.", "start_time": 500.86, "end_time": 504.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 163, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 504.31, "end_time": 504.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 164, "text": "Do we want maybe to his folder which if that like if.", "raw_text": "Do we want maybe to his folder which if that like if.", "start_time": 504.67, "end_time": 510.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 165, "text": "If we hardened it.", "raw_text": "If we hardened it.", "start_time": 510.99, "end_time": 511.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 166, "text": "It would work really well to share across Norg, but we would need like some blob or something that the ATL is running To.", "raw_text": "It would work really well to share across Norg, but we would need like some blob or something that the ATL is running To.", "start_time": 511.79, "end_time": 519.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 167, "text": "Yeah, I kind of figured we dump into a blob.", "raw_text": "Yeah, I kind of figured we dump into a blob.", "start_time": 520.07, "end_time": 522.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 168, "text": "Is that something like you would do or you want me to do?", "raw_text": "Is that something like you would do or you want me to do?", "start_time": 523.35, "end_time": 526.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 169, "text": "Because I. I could like, focus on, like, we could divide and conquer.", "raw_text": "Because I. I could like, focus on, like, we could divide and conquer.", "start_time": 526.19, "end_time": 528.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 170, "text": "Like, you try to help him share stuff and I go help Christopher just clean kids up.", "raw_text": "Like, you try to help him share stuff and I go help Christopher just clean kids up.", "start_time": 528.67, "end_time": 531.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 171, "text": "Yeah, that's fine.", "raw_text": "Yeah, that's fine.", "start_time": 532.6, "end_time": 533.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 172, "text": "Or I can do both of them.", "raw_text": "Or I can do both of them.", "start_time": 534.76, "end_time": 536.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 173, "text": "Take a while.", "raw_text": "Take a while.", "start_time": 536.2, "end_time": 536.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 174, "text": "A few weeks or a couple weeks.", "raw_text": "A few weeks or a couple weeks.", "start_time": 536.92, "end_time": 539.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 175, "text": "Yeah, I mean, it's a really hard discussion, I think.", "raw_text": "Yeah, I mean, it's a really hard discussion, I think.", "start_time": 540.2, "end_time": 544.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 176, "text": "Or a really hard thing to architect.", "raw_text": "Or a really hard thing to architect.", "start_time": 544.76, "end_time": 546.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 177, "text": "I'm not sure what the right answer is.", "raw_text": "I'm not sure what the right answer is.", "start_time": 547.24, "end_time": 548.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 178, "text": "I go back and forth.", "raw_text": "I go back and forth.", "start_time": 550.2, "end_time": 551.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 179, "text": "Like, there's like.", "raw_text": "Like, there's like.", "start_time": 551.4, "end_time": 552.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 180, "text": "There's advantages to like, local.", "raw_text": "There's advantages to like, local.", "start_time": 552.08, "end_time": 553.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 181, "text": "Like, ideally we'd architect it where you can do both.", "raw_text": "Like, ideally we'd architect it where you can do both.", "start_time": 555.48, "end_time": 557.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 182, "text": "Like, we have like, I shared.", "raw_text": "Like, we have like, I shared.", "start_time": 557.96, "end_time": 559.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 183, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 559.88, "end_time": 560.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 184, "text": "I don't even think Claude's figured it out because their solutions suck.", "raw_text": "I don't even think Claude's figured it out because their solutions suck.", "start_time": 560.12, "end_time": 563.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 185, "text": "Yeah, so far.", "raw_text": "Yeah, so far.", "start_time": 563.72, "end_time": 564.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 186, "text": "But enterprise shared things and then like local co work things.", "raw_text": "But enterprise shared things and then like local co work things.", "start_time": 564.76, "end_time": 571.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 187, "text": "I think both make sense in a lot of ways.", "raw_text": "I think both make sense in a lot of ways.", "start_time": 571.48, "end_time": 575, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 188, "text": "I've been trying to work on the side, like.", "raw_text": "I've been trying to work on the side, like.", "start_time": 575.24, "end_time": 576.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 189, "text": "Like, I guess for.", "raw_text": "Like, I guess for.", "start_time": 576.92, "end_time": 577.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 190, "text": "Let's start.", "raw_text": "Let's start.", "start_time": 578.04, "end_time": 578.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 191, "text": "Good.", "raw_text": "Good.", "start_time": 578.6, "end_time": 578.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 192, "text": "Relevant.", "raw_text": "Relevant.", "start_time": 580.36, "end_time": 581, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 193, "text": "No, no, I was say, like, for.", "raw_text": "No, no, I was say, like, for.", "start_time": 581, "end_time": 582.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 194, "text": "For what we're trying to share.", "raw_text": "For what we're trying to share.", "start_time": 582.52, "end_time": 583.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 195, "text": "Are we just trying to share like, MD files?", "raw_text": "Are we just trying to share like, MD files?", "start_time": 583.96, "end_time": 586.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 196, "text": "Are we talking, like, it's kind of like.", "raw_text": "Are we talking, like, it's kind of like.", "start_time": 591.17, "end_time": 593.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 197, "text": "So for some of the stuff he's doing, which is just like status reports, I feel like that could just be a skill now that.", "raw_text": "So for some of the stuff he's doing, which is just like status reports, I feel like that could just be a skill now that.", "start_time": 595.09, "end_time": 604.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 198, "text": "Right.", "raw_text": "Right.", "start_time": 604.01, "end_time": 604.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 199, "text": "And either you hook together like 4 or 5 MC off the shelf MCPs, or if there's data you can't get from the off the shelf mcps, you know, have the Morland MCP and then it's just like a prompt.", "raw_text": "And either you hook together like 4 or 5 MC off the shelf MCPs, or if there's data you can't get from the off the shelf mcps, you know, have the Morland MCP and then it's just like a prompt.", "start_time": 604.37, "end_time": 619.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 200, "text": "Now that you say that.", "raw_text": "Now that you say that.", "start_time": 619.97, "end_time": 620.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 201, "text": "And I thought about it a little bit more, I take back the divider hunker thing.", "raw_text": "And I thought about it a little bit more, I take back the divider hunker thing.", "start_time": 620.77, "end_time": 623.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 202, "text": "I think it's a data pro.", "raw_text": "I think it's a data pro.", "start_time": 623.81, "end_time": 625.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 203, "text": "Like, it's obviously a data problem.", "raw_text": "Like, it's obviously a data problem.", "start_time": 625.81, "end_time": 627.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 204, "text": "But I was like.", "raw_text": "But I was like.", "start_time": 627.45, "end_time": 628.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 205, "text": "I spent the week when I was out, like, really looking into the.", "raw_text": "I spent the week when I was out, like, really looking into the.", "start_time": 628.33, "end_time": 630.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 206, "text": "I'm gonna use the term LLM wiki, like, because that's like what it was going viral as.", "raw_text": "I'm gonna use the term LLM wiki, like, because that's like what it was going viral as.", "start_time": 631.25, "end_time": 635.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 207, "text": "But I think that's kind of like a.", "raw_text": "But I think that's kind of like a.", "start_time": 635.21, "end_time": 636.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 208, "text": "It's not really what it is.", "raw_text": "It's not really what it is.", "start_time": 636.85, "end_time": 637.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 209, "text": "Oh, the carpathy thing.", "raw_text": "Oh, the carpathy thing.", "start_time": 637.97, "end_time": 639.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 210, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 639.29, "end_time": 639.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 211, "text": "And I think it was like.", "raw_text": "And I think it was like.", "start_time": 639.61, "end_time": 640.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 212, "text": "It's funny.", "raw_text": "It's funny.", "start_time": 640.37, "end_time": 640.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 213, "text": "McKay did it a year ago and was like.", "raw_text": "McKay did it a year ago and was like.", "start_time": 640.77, "end_time": 642.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 214, "text": "And it's.", "raw_text": "And it's.", "start_time": 642.49, "end_time": 642.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 215, "text": "That's like the Obsidian route, but, like having everything local.", "raw_text": "That's like the Obsidian route, but, like having everything local.", "start_time": 642.89, "end_time": 645.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 216, "text": "But it's like.", "raw_text": "But it's like.", "start_time": 646.07, "end_time": 646.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 217, "text": "It's an easy way to refer to, like, what really is going to end up happening.", "raw_text": "It's an easy way to refer to, like, what really is going to end up happening.", "start_time": 646.79, "end_time": 650.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 218, "text": "And I agree with you.", "raw_text": "And I agree with you.", "start_time": 650.43, "end_time": 651.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 219, "text": "I don't know the architecture.", "raw_text": "I don't know the architecture.", "start_time": 651.19, "end_time": 652.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 220, "text": "I don't think anyone does.", "raw_text": "I don't think anyone does.", "start_time": 652.07, "end_time": 653.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 221, "text": "But I'm kind of like, let's just try some Stuff right now mode.", "raw_text": "But I'm kind of like, let's just try some Stuff right now mode.", "start_time": 653.03, "end_time": 655.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 222, "text": "But I think it's like you have to find stuff, right?", "raw_text": "But I think it's like you have to find stuff, right?", "start_time": 655.71, "end_time": 657.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 223, "text": "I'm pretty confident in this because it keeps showing up in a lot of different patterns of like when you're sharing this type of data.", "raw_text": "I'm pretty confident in this because it keeps showing up in a lot of different patterns of like when you're sharing this type of data.", "start_time": 657.99, "end_time": 663.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 224, "text": "And this data can include markdowns, it can include like instructions, tools, skills, it can include a lot of different things, but also just like directions and like data connections is.", "raw_text": "And this data can include markdowns, it can include like instructions, tools, skills, it can include a lot of different things, but also just like directions and like data connections is.", "start_time": 663.91, "end_time": 674.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 225, "text": "There's like the enterprise level across like all the teams, there's like the project level and then there's like a personal level and you have to find a way to properly control like rules and access between the three but like use them simultaneously and then like be able to share the data across and like that part I know.", "raw_text": "There's like the enterprise level across like all the teams, there's like the project level and then there's like a personal level and you have to find a way to properly control like rules and access between the three but like use them simultaneously and then like be able to share the data across and like that part I know.", "start_time": 674.49, "end_time": 693.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 226, "text": "I think we all.", "raw_text": "I think we all.", "start_time": 693.49, "end_time": 694.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 227, "text": "That seemed reasonable and it was like pretty clear to me.", "raw_text": "That seemed reasonable and it was like pretty clear to me.", "start_time": 694.97, "end_time": 698.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 228, "text": "I didn't get to expand on the thoughts that like Farm Town I sent was like a really short one, but it was interesting to like.", "raw_text": "I didn't get to expand on the thoughts that like Farm Town I sent was like a really short one, but it was interesting to like.", "start_time": 698.25, "end_time": 703.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 229, "text": "It really was revealing.", "raw_text": "It really was revealing.", "start_time": 703.21, "end_time": 704.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 230, "text": "Like Chris do that's how Open Claw works.", "raw_text": "Like Chris do that's how Open Claw works.", "start_time": 704.33, "end_time": 706.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 231, "text": "And it's kind of got like this folder and it does like a bunch of subfolders and it just lets the agent harness do it.", "raw_text": "And it's kind of got like this folder and it does like a bunch of subfolders and it just lets the agent harness do it.", "start_time": 706.09, "end_time": 711.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 232, "text": "And I also, I've actually been.", "raw_text": "And I also, I've actually been.", "start_time": 711.69, "end_time": 713.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 233, "text": "I talked to like my like past week I've been talking to a lot of different people and it was really neat to be out in the bay and talk to a bunch of people doing it because it's like I'm telling the conversations we have like are good and then we go there like everyone's having them but like no one else have them here.", "raw_text": "I talked to like my like past week I've been talking to a lot of different people and it was really neat to be out in the bay and talk to a bunch of people doing it because it's like I'm telling the conversations we have like are good and then we go there like everyone's having them but like no one else have them here.", "start_time": 713.17, "end_time": 725.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 234, "text": "So it's like, it was nice but.", "raw_text": "So it's like, it was nice but.", "start_time": 725.33, "end_time": 726.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 235, "text": "But everyone's kind of at the same spot.", "raw_text": "But everyone's kind of at the same spot.", "start_time": 726.71, "end_time": 729.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 236, "text": "Also it was interesting.", "raw_text": "Also it was interesting.", "start_time": 729.11, "end_time": 730.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 237, "text": "I don't know if I shared this with this group but like my body from SpaceX like sit next to.", "raw_text": "I don't know if I shared this with this group but like my body from SpaceX like sit next to.", "start_time": 730.11, "end_time": 733.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 238, "text": "I got to sit in me like while Elon was talking.", "raw_text": "I got to sit in me like while Elon was talking.", "start_time": 733.35, "end_time": 735.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 239, "text": "They don't even know how to use AI internally.", "raw_text": "They don't even know how to use AI internally.", "start_time": 735.35, "end_time": 737.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 240, "text": "They literally like reusing this old shitty thing.", "raw_text": "They literally like reusing this old shitty thing.", "start_time": 737.11, "end_time": 739.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 241, "text": "They just got Claude, he's like a team lead at Starlink and he's like, will you show me how to use Claude?", "raw_text": "They just got Claude, he's like a team lead at Starlink and he's like, will you show me how to use Claude?", "start_time": 739.11, "end_time": 743.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 242, "text": "Oh my gosh, we can make so much money.", "raw_text": "Oh my gosh, we can make so much money.", "start_time": 744.55, "end_time": 747.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 243, "text": "Oh, I know.", "raw_text": "Oh, I know.", "start_time": 747.99, "end_time": 748.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 244, "text": "Walking people through.", "raw_text": "Walking people through.", "start_time": 749.67, "end_time": 750.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 245, "text": "Well, I've been talking to State street and they make observance amount of money too and they're like, we don't even know how to use AI internally.", "raw_text": "Well, I've been talking to State street and they make observance amount of money too and they're like, we don't even know how to use AI internally.", "start_time": 750.95, "end_time": 757.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 246, "text": "And then like Emily's like team lead at like KeyBank and they're like, dude, they're like having promptathons to figure out how to use Copilot.", "raw_text": "And then like Emily's like team lead at like KeyBank and they're like, dude, they're like having promptathons to figure out how to use Copilot.", "start_time": 757.43, "end_time": 764.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 247, "text": "They have no idea what's called, but it's kind of like that across, like, everywhere.", "raw_text": "They have no idea what's called, but it's kind of like that across, like, everywhere.", "start_time": 764.09, "end_time": 768.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 248, "text": "So, like, that's.", "raw_text": "So, like, that's.", "start_time": 768.65, "end_time": 769.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 249, "text": "It's obvious that it's not a solved problem unless you're really, like, open AI or you only want to share so much of your sauce right now.", "raw_text": "It's obvious that it's not a solved problem unless you're really, like, open AI or you only want to share so much of your sauce right now.", "start_time": 769.53, "end_time": 776.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 250, "text": "And so that's been interesting.", "raw_text": "And so that's been interesting.", "start_time": 777.09, "end_time": 778.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 251, "text": "I was just talking to a guy last night.", "raw_text": "I was just talking to a guy last night.", "start_time": 778.33, "end_time": 779.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 252, "text": "He's doing, like, open source.", "raw_text": "He's doing, like, open source.", "start_time": 779.61, "end_time": 780.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 253, "text": "His roommate's anthropic, and he's, like, doing work with entropic.", "raw_text": "His roommate's anthropic, and he's, like, doing work with entropic.", "start_time": 780.53, "end_time": 783.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 254, "text": "So it's been.", "raw_text": "So it's been.", "start_time": 783.81, "end_time": 784.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 255, "text": "He got a similar thing.", "raw_text": "He got a similar thing.", "start_time": 785.56, "end_time": 786.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 256, "text": "His build, a sweet mcp.", "raw_text": "His build, a sweet mcp.", "start_time": 786.6, "end_time": 787.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 257, "text": "It's, like, similar to what we did, but it's all possible.", "raw_text": "It's, like, similar to what we did, but it's all possible.", "start_time": 787.96, "end_time": 790.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 258, "text": "So I like this.", "raw_text": "So I like this.", "start_time": 791.24, "end_time": 792.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 259, "text": "I think this was, like, really resonated with me.", "raw_text": "I think this was, like, really resonated with me.", "start_time": 792.28, "end_time": 794.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 260, "text": "So I read on, like, they were like, oh, it's killing Tableau.", "raw_text": "So I read on, like, they were like, oh, it's killing Tableau.", "start_time": 794.8, "end_time": 797.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 261, "text": "No, Tableau's note was never the chart.", "raw_text": "No, Tableau's note was never the chart.", "start_time": 799.56, "end_time": 801.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 262, "text": "It was 10, 000 employees agreeing upon the number.", "raw_text": "It was 10, 000 employees agreeing upon the number.", "start_time": 801.8, "end_time": 805.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 263, "text": "Hey, what's that?", "raw_text": "Hey, what's that?", "start_time": 805.16, "end_time": 805.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 264, "text": "Hey, Camry today.", "raw_text": "Hey, Camry today.", "start_time": 809.24, "end_time": 814.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 265, "text": "All reliable right there.", "raw_text": "All reliable right there.", "start_time": 815.66, "end_time": 817.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 266, "text": "We're playing around with the Claude live artifacts we've been finally waiting for.", "raw_text": "We're playing around with the Claude live artifacts we've been finally waiting for.", "start_time": 817.58, "end_time": 821.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 267, "text": "Oh, I haven't actually touched on this.", "raw_text": "Oh, I haven't actually touched on this.", "start_time": 822.06, "end_time": 823.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 268, "text": "So you can, like.", "raw_text": "So you can, like.", "start_time": 823.82, "end_time": 825.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 269, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 825.3, "end_time": 825.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 270, "text": "Show them the next to real data.", "raw_text": "Show them the next to real data.", "start_time": 825.62, "end_time": 827.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 271, "text": "So, like.", "raw_text": "So, like.", "start_time": 827.9, "end_time": 828.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 272, "text": "Yeah, so like, the inline stuff they've been doing, which.", "raw_text": "Yeah, so like, the inline stuff they've been doing, which.", "start_time": 828.5, "end_time": 830.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 273, "text": "But it would do it, like, every single time.", "raw_text": "But it would do it, like, every single time.", "start_time": 830.98, "end_time": 833.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 274, "text": "Would recreate the inline.", "raw_text": "Would recreate the inline.", "start_time": 833.34, "end_time": 834.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 275, "text": "Cool charts.", "raw_text": "Cool charts.", "start_time": 834.54, "end_time": 835.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 276, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 835.22, "end_time": 835.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 277, "text": "Now you can say, like, save as live artifact.", "raw_text": "Now you can say, like, save as live artifact.", "start_time": 835.58, "end_time": 838.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 278, "text": "And now this is just a web app connected to our mcp.", "raw_text": "And now this is just a web app connected to our mcp.", "start_time": 838.06, "end_time": 841.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 279, "text": "That's cool.", "raw_text": "That's cool.", "start_time": 842.31, "end_time": 842.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 280, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 843.03, "end_time": 843.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 281, "text": "So right then we're just battling around with, like, I mean, the whole theory of, like, you got co work and, like, you can set up your own cron and get all this data into your local folder and build all this cool stuff.", "raw_text": "So right then we're just battling around with, like, I mean, the whole theory of, like, you got co work and, like, you can set up your own cron and get all this data into your local folder and build all this cool stuff.", "start_time": 845.35, "end_time": 861.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 282, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 861.59, "end_time": 862.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 283, "text": "They don't have a really good way Claude yet to, like, share that with the enterprise.", "raw_text": "They don't have a really good way Claude yet to, like, share that with the enterprise.", "start_time": 862.39, "end_time": 866.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 284, "text": "And then it's like, for us, what's the right answer?", "raw_text": "And then it's like, for us, what's the right answer?", "start_time": 867.44, "end_time": 870.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 285, "text": "But also, like, for the industry, what's the right answer?", "raw_text": "But also, like, for the industry, what's the right answer?", "start_time": 870.36, "end_time": 872.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 286, "text": "And then I was just sharing, like, I thought this was a really good statement by this guy.", "raw_text": "And then I was just sharing, like, I thought this was a really good statement by this guy.", "start_time": 872.76, "end_time": 877.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 287, "text": "So everyone's like, saying, this is killing tableau.", "raw_text": "So everyone's like, saying, this is killing tableau.", "start_time": 877.2, "end_time": 879.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 288, "text": "This is going to kill power bi.", "raw_text": "This is going to kill power bi.", "start_time": 879.52, "end_time": 881.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 289, "text": "This guy was like, the charts were never the mo.", "raw_text": "This guy was like, the charts were never the mo.", "start_time": 881.76, "end_time": 884.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 290, "text": "It's getting 10,000 employees to agree on a number.", "raw_text": "It's getting 10,000 employees to agree on a number.", "start_time": 884.84, "end_time": 887.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 291, "text": "Governance lineage, certified metrics, cohorts doesn't touch that.", "raw_text": "Governance lineage, certified metrics, cohorts doesn't touch that.", "start_time": 887.84, "end_time": 891.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 292, "text": "So, like, even as a small company, like, I. I don't want to get in Sam's way of doing, like, awesome stuff.", "raw_text": "So, like, even as a small company, like, I. I don't want to get in Sam's way of doing, like, awesome stuff.", "start_time": 891.68, "end_time": 898.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 293, "text": "But the second his team goes from 1pm to 2pm to 3pm to 4pm, like, you can't just do it locally and, like, rebuild it yourself.", "raw_text": "But the second his team goes from 1pm to 2pm to 3pm to 4pm, like, you can't just do it locally and, like, rebuild it yourself.", "start_time": 898.57, "end_time": 909.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 294, "text": "It's just Like Right.", "raw_text": "It's just Like Right.", "start_time": 909.05, "end_time": 910.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 295, "text": "Everyone's gonna get a different number or like argue and you're gonna get these like one off tools.", "raw_text": "Everyone's gonna get a different number or like argue and you're gonna get these like one off tools.", "start_time": 910.61, "end_time": 915.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 296, "text": "So I'm sure Claude will figure that out.", "raw_text": "So I'm sure Claude will figure that out.", "start_time": 916.21, "end_time": 918.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 297, "text": "But I still think the data platform being, I mean the middle is a dependable mode.", "raw_text": "But I still think the data platform being, I mean the middle is a dependable mode.", "start_time": 918.45, "end_time": 925.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 298, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 925.65, "end_time": 926.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 299, "text": "And I mean we're already seeing it at od.", "raw_text": "And I mean we're already seeing it at od.", "start_time": 926.45, "end_time": 929.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 300, "text": "Right.", "raw_text": "Right.", "start_time": 929.37, "end_time": 929.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 301, "text": "Like they have all these issues and data governance.", "raw_text": "Like they have all these issues and data governance.", "start_time": 929.65, "end_time": 931.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 302, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 931.73, "end_time": 932.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 303, "text": "You know, same data in different places.", "raw_text": "You know, same data in different places.", "start_time": 932.61, "end_time": 934.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 304, "text": "They have discrepancies between a PIM and SAP and engineers don't put stuff.", "raw_text": "They have discrepancies between a PIM and SAP and engineers don't put stuff.", "start_time": 935.25, "end_time": 939.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 305, "text": "Whatever.", "raw_text": "Whatever.", "start_time": 939.57, "end_time": 939.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 306, "text": "Right.", "raw_text": "Right.", "start_time": 939.93, "end_time": 940.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 307, "text": "Like there's all these things that happen.", "raw_text": "Like there's all these things that happen.", "start_time": 940.13, "end_time": 941.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 308, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 941.97, "end_time": 942.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 309, "text": "That if you don't know that which like 99% of all these enterprises and know why or where or what and you just trust Claude to pull the data from the right place every time.", "raw_text": "That if you don't know that which like 99% of all these enterprises and know why or where or what and you just trust Claude to pull the data from the right place every time.", "start_time": 942.41, "end_time": 953.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 310, "text": "Right.", "raw_text": "Right.", "start_time": 954.1, "end_time": 954.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 311, "text": "Yep.", "raw_text": "Yep.", "start_time": 954.9, "end_time": 955.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 312, "text": "You're going to end up with scenarios people are like, you know, misreporting revenue or shipments or whatever.", "raw_text": "You're going to end up with scenarios people are like, you know, misreporting revenue or shipments or whatever.", "start_time": 957.86, "end_time": 963.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 313, "text": "Like mistakes, you know.", "raw_text": "Like mistakes, you know.", "start_time": 964.26, "end_time": 966.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 314, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 966.34, "end_time": 966.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 315, "text": "So I do think.", "raw_text": "So I do think.", "start_time": 967.62, "end_time": 968.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 316, "text": "Yeah to a great extent, like tooling around that it's going to be interesting and like the mortgage consumer facing, like we're even just talking or not consumer facing but like non tech facing.", "raw_text": "Yeah to a great extent, like tooling around that it's going to be interesting and like the mortgage consumer facing, like we're even just talking or not consumer facing but like non tech facing.", "start_time": 968.34, "end_time": 978.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 317, "text": "We can make some of those tools better.", "raw_text": "We can make some of those tools better.", "start_time": 978.87, "end_time": 980.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 318, "text": "It's like you know your tool for what's it called canonical matching mapping, like something like that.", "raw_text": "It's like you know your tool for what's it called canonical matching mapping, like something like that.", "start_time": 980.35, "end_time": 989.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 319, "text": "And they're like hey, AI noticed this discrepancy.", "raw_text": "And they're like hey, AI noticed this discrepancy.", "start_time": 989.23, "end_time": 993.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 320, "text": "Who's the right person to ask about the discrepancy?", "raw_text": "Who's the right person to ask about the discrepancy?", "start_time": 994.19, "end_time": 997.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 321, "text": "Let's go through the Microsoft Teams or the chart and say this should live with this team.", "raw_text": "Let's go through the Microsoft Teams or the chart and say this should live with this team.", "start_time": 998.19, "end_time": 1003.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 322, "text": "Send them an email saying hey, something's going on over here.", "raw_text": "Send them an email saying hey, something's going on over here.", "start_time": 1004.35, "end_time": 1007.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 323, "text": "Do you know about it?", "raw_text": "Do you know about it?", "start_time": 1007.01, "end_time": 1008.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 324, "text": "Like those are like really powerful tools.", "raw_text": "Like those are like really powerful tools.", "start_time": 1008.13, "end_time": 1010.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 325, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1010.25, "end_time": 1010.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 326, "text": "And in some way for them to give feedback of like oh yeah, like that stock is.", "raw_text": "And in some way for them to give feedback of like oh yeah, like that stock is.", "start_time": 1010.49, "end_time": 1016.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 327, "text": "Should be in roles and not yards.", "raw_text": "Should be in roles and not yards.", "start_time": 1016.05, "end_time": 1018.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 328, "text": "And that's why this looks wrong.", "raw_text": "And that's why this looks wrong.", "start_time": 1018.01, "end_time": 1019.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 329, "text": "I don't know, I just made something up.", "raw_text": "I don't know, I just made something up.", "start_time": 1019.29, "end_time": 1020.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 330, "text": "Right.", "raw_text": "Right.", "start_time": 1020.65, "end_time": 1020.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 331, "text": "Like whoever the right person is like being able to actually get it to them and be able to do the research.", "raw_text": "Like whoever the right person is like being able to actually get it to them and be able to do the research.", "start_time": 1021.21, "end_time": 1025.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 332, "text": "Like now all of a sudden like the data governance team is not sending out 12 emails to figure out who the right person to talk to is.", "raw_text": "Like now all of a sudden like the data governance team is not sending out 12 emails to figure out who the right person to talk to is.", "start_time": 1025.69, "end_time": 1033.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 333, "text": "Right.", "raw_text": "Right.", "start_time": 1033.89, "end_time": 1034.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 334, "text": "The lineage is clear.", "raw_text": "The lineage is clear.", "start_time": 1034.17, "end_time": 1035.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 335, "text": "All of those things like, because that's where the like you think about code review and just source control pre git.", "raw_text": "All of those things like, because that's where the like you think about code review and just source control pre git.", "start_time": 1035.45, "end_time": 1042.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 336, "text": "Right.", "raw_text": "Right.", "start_time": 1042.49, "end_time": 1042.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 337, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1042.81, "end_time": 1043.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 338, "text": "Oh, how do you figure out who, who wrote what, who did what?", "raw_text": "Oh, how do you figure out who, who wrote what, who did what?", "start_time": 1043.93, "end_time": 1046.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 339, "text": "It's like who the last person to touch this file.", "raw_text": "It's like who the last person to touch this file.", "start_time": 1048.89, "end_time": 1051.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 340, "text": "Right.", "raw_text": "Right.", "start_time": 1053.05, "end_time": 1053.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 341, "text": "So it's like that for data to some extent of like who's the person that's responsible for this?", "raw_text": "So it's like that for data to some extent of like who's the person that's responsible for this?", "start_time": 1053.53, "end_time": 1058.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 342, "text": "Like how do we get their input and then how do we like map like mark their input, date it, stamp it, say, hey, Justin told me that this is right on February 5th.", "raw_text": "Like how do we get their input and then how do we like map like mark their input, date it, stamp it, say, hey, Justin told me that this is right on February 5th.", "start_time": 1058.33, "end_time": 1069.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 343, "text": "Right.", "raw_text": "Right.", "start_time": 1069.55, "end_time": 1069.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 344, "text": "Like those are the types of things that like and that.", "raw_text": "Like those are the types of things that like and that.", "start_time": 1071.07, "end_time": 1076.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 345, "text": "And how do you put eva?", "raw_text": "And how do you put eva?", "start_time": 1076.15, "end_time": 1079.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 346, "text": "Like.", "raw_text": "Like.", "start_time": 1079.51, "end_time": 1079.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 347, "text": "Yeah, yeah.", "raw_text": "Yeah, yeah.", "start_time": 1079.79, "end_time": 1080.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 348, "text": "Basically the.", "raw_text": "Basically the.", "start_time": 1080.59, "end_time": 1081.309, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 349, "text": "This, the parallel of like a unit test that like.", "raw_text": "This, the parallel of like a unit test that like.", "start_time": 1081.309, "end_time": 1085.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 350, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1085.07, "end_time": 1085.55, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 351, "text": "Because what scares me to death is like these ETLs are pretty good, but like it's some source data changes or something and now like one of the pipelines broken.", "raw_text": "Because what scares me to death is like these ETLs are pretty good, but like it's some source data changes or something and now like one of the pipelines broken.", "start_time": 1085.63, "end_time": 1096.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 352, "text": "If you don't have something like some sanity check that can run or multiple sanity checks that can run nightly, you're going to like not know that something's broken for a while.", "raw_text": "If you don't have something like some sanity check that can run or multiple sanity checks that can run nightly, you're going to like not know that something's broken for a while.", "start_time": 1096.01, "end_time": 1106.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 353, "text": "Yeah, potentially.", "raw_text": "Yeah, potentially.", "start_time": 1106.41, "end_time": 1107.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 354, "text": "Unless you like really?", "raw_text": "Unless you like really?", "start_time": 1107.53, "end_time": 1108.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 355, "text": "Yeah, that, that's what scares me about like pulling in the data at all.", "raw_text": "Yeah, that, that's what scares me about like pulling in the data at all.", "start_time": 1108.61, "end_time": 1112.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 356, "text": "Right.", "raw_text": "Right.", "start_time": 1112.25, "end_time": 1112.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 357, "text": "It's like now someone deletes something or someone, you know.", "raw_text": "It's like now someone deletes something or someone, you know.", "start_time": 1112.61, "end_time": 1116.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 358, "text": "Yeah, that's like we were talking about.", "raw_text": "Yeah, that's like we were talking about.", "start_time": 1116.93, "end_time": 1118.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 359, "text": "It's like Claude's stance is like the models are going to get good enough and orchestrate it through the user sessions, through the connectors.", "raw_text": "It's like Claude's stance is like the models are going to get good enough and orchestrate it through the user sessions, through the connectors.", "start_time": 1118.17, "end_time": 1124.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 360, "text": "Yeah, I bet.", "raw_text": "Yeah, I bet.", "start_time": 1125.97, "end_time": 1126.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 361, "text": "I mean, I don't know.", "raw_text": "I mean, I don't know.", "start_time": 1126.77, "end_time": 1127.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 362, "text": "I think it's still going to do it differently every time, but.", "raw_text": "I think it's still going to do it differently every time, but.", "start_time": 1127.61, "end_time": 1131.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 363, "text": "And then it's like, it's like we like talked about step one of hardening.", "raw_text": "And then it's like, it's like we like talked about step one of hardening.", "start_time": 1131.57, "end_time": 1135.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 364, "text": "That is skills.", "raw_text": "That is skills.", "start_time": 1135.05, "end_time": 1135.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 365, "text": "Right.", "raw_text": "Right.", "start_time": 1135.97, "end_time": 1136.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 366, "text": "Something repeatable.", "raw_text": "Something repeatable.", "start_time": 1136.25, "end_time": 1137.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 367, "text": "Step two is.", "raw_text": "Step two is.", "start_time": 1137.49, "end_time": 1139.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 368, "text": "Or three is the workflows or primitives that they haven't figured out yet.", "raw_text": "Or three is the workflows or primitives that they haven't figured out yet.", "start_time": 1140.05, "end_time": 1144.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 369, "text": "The challenge with the connectors too, going back to like governance, it's like you may want people to have access to certain reports about your financials, but you don't want them to have access to your bank account.", "raw_text": "The challenge with the connectors too, going back to like governance, it's like you may want people to have access to certain reports about your financials, but you don't want them to have access to your bank account.", "start_time": 1145.86, "end_time": 1160.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 370, "text": "Right.", "raw_text": "Right.", "start_time": 1160.42, "end_time": 1160.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 371, "text": "So it's like there's like this stuff that happens in the middle and like if there's no connector for wherever the reports lay and you only have a connector for the bank account, you still have a missing answer.", "raw_text": "So it's like there's like this stuff that happens in the middle and like if there's no connector for wherever the reports lay and you only have a connector for the bank account, you still have a missing answer.", "start_time": 1160.98, "end_time": 1173.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 372, "text": "Right.", "raw_text": "Right.", "start_time": 1173.77, "end_time": 1174.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 373, "text": "And that becomes sort of.", "raw_text": "And that becomes sort of.", "start_time": 1174.05, "end_time": 1175.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 374, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1175.41, "end_time": 1175.89, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 375, "text": "Some of the gaps of like you think about enterprise data.", "raw_text": "Some of the gaps of like you think about enterprise data.", "start_time": 1176.05, "end_time": 1178.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 376, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1178.77, "end_time": 1179.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 377, "text": "Technically it's all in a table somewhere or like a system somewhere.", "raw_text": "Technically it's all in a table somewhere or like a system somewhere.", "start_time": 1179.17, "end_time": 1183.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 378, "text": "But should or could all these people have access?", "raw_text": "But should or could all these people have access?", "start_time": 1183.33, "end_time": 1187.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 379, "text": "And the other side of it is like, all right, now you need an account for every user on every system.", "raw_text": "And the other side of it is like, all right, now you need an account for every user on every system.", "start_time": 1187.09, "end_time": 1191.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 380, "text": "Think about SAS subscription.", "raw_text": "Think about SAS subscription.", "start_time": 1191.73, "end_time": 1193.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 381, "text": "Right.", "raw_text": "Right.", "start_time": 1194.53, "end_time": 1194.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 382, "text": "As well.", "raw_text": "As well.", "start_time": 1194.85, "end_time": 1195.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 383, "text": "It's like, yeah, like multi layer challenges to like disconnect direct, you know?", "raw_text": "It's like, yeah, like multi layer challenges to like disconnect direct, you know?", "start_time": 1195.25, "end_time": 1202.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 384, "text": "Right, Yep.", "raw_text": "Right, Yep.", "start_time": 1202.47, "end_time": 1203.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 385, "text": "And I, I understand why Claude is positioning himself the way they're positioning himself because the platform gains enough steam.", "raw_text": "And I, I understand why Claude is positioning himself the way they're positioning himself because the platform gains enough steam.", "start_time": 1204.55, "end_time": 1211.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 386, "text": "It's like your software is losing out more on not being a part of this.", "raw_text": "It's like your software is losing out more on not being a part of this.", "start_time": 1211.35, "end_time": 1215.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 387, "text": "So eventually you're going to have a connector.", "raw_text": "So eventually you're going to have a connector.", "start_time": 1215.43, "end_time": 1217.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 388, "text": "Right.", "raw_text": "Right.", "start_time": 1217.43, "end_time": 1217.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 389, "text": "Like that's that's kind of.", "raw_text": "Like that's that's kind of.", "start_time": 1217.71, "end_time": 1219.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 390, "text": "And like, we're not handling the off.", "raw_text": "And like, we're not handling the off.", "start_time": 1220.79, "end_time": 1222.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 391, "text": "Like it's all credentialed through your system.", "raw_text": "Like it's all credentialed through your system.", "start_time": 1222.84, "end_time": 1224.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 392, "text": "We're just.", "raw_text": "We're just.", "start_time": 1225, "end_time": 1225.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 393, "text": "Somehow only providing the mapping between systems in a hardened way.", "raw_text": "Somehow only providing the mapping between systems in a hardened way.", "start_time": 1233.72, "end_time": 1240.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 394, "text": "So if you took our canonical table and it's just like, here's all the keys across all these systems tied together and like, didn't even give the toggle data.", "raw_text": "So if you took our canonical table and it's just like, here's all the keys across all these systems tied together and like, didn't even give the toggle data.", "start_time": 1241.32, "end_time": 1249.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 395, "text": "But I said like, it would be slower though.", "raw_text": "But I said like, it would be slower though.", "start_time": 1250.05, "end_time": 1252.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 396, "text": "It would still be slow.", "raw_text": "It would still be slow.", "start_time": 1252.73, "end_time": 1253.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 397, "text": "It would still be slow.", "raw_text": "It would still be slow.", "start_time": 1253.61, "end_time": 1254.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 398, "text": "You would still have to go togglers.", "raw_text": "You would still have to go togglers.", "start_time": 1254.29, "end_time": 1256.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 399, "text": "So grab like the Moreland mapping because that's what Sam does in his local file.", "raw_text": "So grab like the Moreland mapping because that's what Sam does in his local file.", "start_time": 1256.77, "end_time": 1261.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 400, "text": "Yeah, his MD file.", "raw_text": "Yeah, his MD file.", "start_time": 1261.33, "end_time": 1262.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 401, "text": "MD has like, for this project, it's this toggle.", "raw_text": "MD has like, for this project, it's this toggle.", "start_time": 1263.49, "end_time": 1267.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 402, "text": "It's this linear it.", "raw_text": "It's this linear it.", "start_time": 1267.85, "end_time": 1269.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 403, "text": "This.", "raw_text": "This.", "start_time": 1269.21, "end_time": 1269.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 404, "text": "That's what.", "raw_text": "That's what.", "start_time": 1270.13, "end_time": 1270.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 405, "text": "Remember, that's what we did for the.", "raw_text": "Remember, that's what we did for the.", "start_time": 1270.61, "end_time": 1271.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 406, "text": "The ask thing.", "raw_text": "The ask thing.", "start_time": 1272.29, "end_time": 1273.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 407, "text": "And Claude, I had you exported the.", "raw_text": "And Claude, I had you exported the.", "start_time": 1273.25, "end_time": 1275.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 408, "text": "The map.", "raw_text": "The map.", "start_time": 1276.12, "end_time": 1276.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 409, "text": "So we jumped it in there.", "raw_text": "So we jumped it in there.", "start_time": 1276.6, "end_time": 1277.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 410, "text": "So it could crawl it quicker.", "raw_text": "So it could crawl it quicker.", "start_time": 1277.96, "end_time": 1279.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 411, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1279.36, "end_time": 1279.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 412, "text": "So it still be slower.", "raw_text": "So it still be slower.", "start_time": 1280.2, "end_time": 1281.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 413, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1281.88, "end_time": 1282.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 414, "text": "Live dashboard, right now.", "raw_text": "Live dashboard, right now.", "start_time": 1283.16, "end_time": 1285.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 415, "text": "That hits.", "raw_text": "That hits.", "start_time": 1285.24, "end_time": 1285.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 416, "text": "Cache it.", "raw_text": "Cache it.", "start_time": 1286.28, "end_time": 1286.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 417, "text": "That hits.", "raw_text": "That hits.", "start_time": 1287.08, "end_time": 1287.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 418, "text": "Then you're doing the same thing we're doing with the ETL anyway, just a local copy.", "raw_text": "Then you're doing the same thing we're doing with the ETL anyway, just a local copy.", "start_time": 1288.04, "end_time": 1292.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 419, "text": "Everyone has their own.", "raw_text": "Everyone has their own.", "start_time": 1292.08, "end_time": 1292.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 420, "text": "You're like a blockchain of etl.", "raw_text": "You're like a blockchain of etl.", "start_time": 1293, "end_time": 1295.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 421, "text": "Everyone's got their own ETL process.", "raw_text": "Everyone's got their own ETL process.", "start_time": 1295.36, "end_time": 1297.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 422, "text": "But that's like.", "raw_text": "But that's like.", "start_time": 1297.96, "end_time": 1298.56, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 423, "text": "I want like.", "raw_text": "I want like.", "start_time": 1298.56, "end_time": 1299.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 424, "text": "Like is fast.", "raw_text": "Like is fast.", "start_time": 1300.44, "end_time": 1301.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 425, "text": "How much stuff is going to need to be that fast?", "raw_text": "How much stuff is going to need to be that fast?", "start_time": 1302.69, "end_time": 1304.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 426, "text": "I think for bi, you want this thing to look like it'll feel like a web app.", "raw_text": "I think for bi, you want this thing to look like it'll feel like a web app.", "start_time": 1304.77, "end_time": 1309.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 427, "text": "What does BI normally get for, like, it's really handling as a database.", "raw_text": "What does BI normally get for, like, it's really handling as a database.", "start_time": 1310.45, "end_time": 1314.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 428, "text": "Like, how do we normally.", "raw_text": "Like, how do we normally.", "start_time": 1314.25, "end_time": 1315.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 429, "text": "The tabular cube more often than not, some sort of like MDS cube or something.", "raw_text": "The tabular cube more often than not, some sort of like MDS cube or something.", "start_time": 1315.25, "end_time": 1319.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 430, "text": "Same thing we're doing.", "raw_text": "Same thing we're doing.", "start_time": 1319.81, "end_time": 1320.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 431, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1320.93, "end_time": 1321.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 432, "text": "That's like all this AI stuff's like, just people have been doing it.", "raw_text": "That's like all this AI stuff's like, just people have been doing it.", "start_time": 1321.89, "end_time": 1325.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 433, "text": "Right.", "raw_text": "Right.", "start_time": 1325.45, "end_time": 1325.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 434, "text": "It's just like, all right, do we need to go and do all the cube development as a company?", "raw_text": "It's just like, all right, do we need to go and do all the cube development as a company?", "start_time": 1327.73, "end_time": 1333.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 435, "text": "Like, do we need to hire people to do that?", "raw_text": "Like, do we need to hire people to do that?", "start_time": 1334, "end_time": 1335.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 436, "text": "Yes or no.", "raw_text": "Yes or no.", "start_time": 1335.68, "end_time": 1336.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 437, "text": "And the question is like.", "raw_text": "And the question is like.", "start_time": 1336.56, "end_time": 1337.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 438, "text": "Or the answer is like, yes, but not.", "raw_text": "Or the answer is like, yes, but not.", "start_time": 1337.92, "end_time": 1341, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 439, "text": "Yeah, I don't think it's one size fits all.", "raw_text": "Yeah, I don't think it's one size fits all.", "start_time": 1341, "end_time": 1343.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 440, "text": "I think there is cases where direct MCP and just skills get you up and running are going a long way.", "raw_text": "I think there is cases where direct MCP and just skills get you up and running are going a long way.", "start_time": 1343.88, "end_time": 1351.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 441, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1351.28, "end_time": 1351.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 442, "text": "I mean, that's the part where it's just like, you know, there's a piece of.", "raw_text": "I mean, that's the part where it's just like, you know, there's a piece of.", "start_time": 1352.64, "end_time": 1357.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 443, "text": "Just like train the train some key players on how to use Claude effectively.", "raw_text": "Just like train the train some key players on how to use Claude effectively.", "start_time": 1357.16, "end_time": 1363.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 444, "text": "And like, they will have superpowers.", "raw_text": "And like, they will have superpowers.", "start_time": 1363.25, "end_time": 1365.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 445, "text": "Right.", "raw_text": "Right.", "start_time": 1365.37, "end_time": 1365.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 446, "text": "So you think about the like, finance guy that does the weekly report for the executives.", "raw_text": "So you think about the like, finance guy that does the weekly report for the executives.", "start_time": 1365.57, "end_time": 1371.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 447, "text": "Like, he probably spends three days generating that report, pulling data from different sources, whatever.", "raw_text": "Like, he probably spends three days generating that report, pulling data from different sources, whatever.", "start_time": 1371.81, "end_time": 1377.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 448, "text": "And it's Probably a week behind.", "raw_text": "And it's Probably a week behind.", "start_time": 1377.21, "end_time": 1379.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 449, "text": "He's probably never like as of today.", "raw_text": "He's probably never like as of today.", "start_time": 1379.81, "end_time": 1382.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 450, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1382.85, "end_time": 1383.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 451, "text": "Right.", "raw_text": "Right.", "start_time": 1383.25, "end_time": 1383.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 452, "text": "OD was like we.", "raw_text": "OD was like we.", "start_time": 1383.73, "end_time": 1384.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 453, "text": "They run this analysis on is their ERP data messed up.", "raw_text": "They run this analysis on is their ERP data messed up.", "start_time": 1384.93, "end_time": 1389.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 454, "text": "They can only physically run it once a week just because it's so manual.", "raw_text": "They can only physically run it once a week just because it's so manual.", "start_time": 1390.19, "end_time": 1394.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 455, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1394.39, "end_time": 1394.91, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 456, "text": "And it's probably as of a week before.", "raw_text": "And it's probably as of a week before.", "start_time": 1395.47, "end_time": 1398.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 457, "text": "Yeah, but that's what I think.", "raw_text": "Yeah, but that's what I think.", "start_time": 1398.19, "end_time": 1401.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 458, "text": "Like so many of these reports are like we're going to review this on Monday at 9am or you know what I mean?", "raw_text": "Like so many of these reports are like we're going to review this on Monday at 9am or you know what I mean?", "start_time": 1401.07, "end_time": 1406.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 459, "text": "Like, or every day to spend time.", "raw_text": "Like, or every day to spend time.", "start_time": 1406.67, "end_time": 1409.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 460, "text": "What's up?", "raw_text": "What's up?", "start_time": 1409.71, "end_time": 1410.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 461, "text": "Oh, hey.", "raw_text": "Oh, hey.", "start_time": 1411.23, "end_time": 1412.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 462, "text": "Where are you?", "raw_text": "Where are you?", "start_time": 1412.99, "end_time": 1413.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 463, "text": "Tan is crazy.", "raw_text": "Tan is crazy.", "start_time": 1414.11, "end_time": 1415.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 464, "text": "I've been doing chainsaw.", "raw_text": "I've been doing chainsaw.", "start_time": 1415.76, "end_time": 1417.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 465, "text": "Oh, okay.", "raw_text": "Oh, okay.", "start_time": 1417.04, "end_time": 1417.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 466, "text": "He's taking the tanning peptide.", "raw_text": "He's taking the tanning peptide.", "start_time": 1421.24, "end_time": 1423.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 467, "text": "I learned all about.", "raw_text": "I learned all about.", "start_time": 1429.64, "end_time": 1430.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 468, "text": "I went decent.", "raw_text": "I went decent.", "start_time": 1431.64, "end_time": 1432.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 469, "text": "Snakes does that.", "raw_text": "Snakes does that.", "start_time": 1435.72, "end_time": 1436.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 470, "text": "Snake venom does do that.", "raw_text": "Snake venom does do that.", "start_time": 1439.8, "end_time": 1441.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 471, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1443.23, "end_time": 1443.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 472, "text": "That's what him and Jeff were doing this morning.", "raw_text": "That's what him and Jeff were doing this morning.", "start_time": 1443.43, "end_time": 1445.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 473, "text": "When I came to check on them, they had a screensaver app up on the TV.", "raw_text": "When I came to check on them, they had a screensaver app up on the TV.", "start_time": 1445.27, "end_time": 1450.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 474, "text": "It was this 10 out of 10 on the scale.", "raw_text": "It was this 10 out of 10 on the scale.", "start_time": 1451.47, "end_time": 1454.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 475, "text": "Honey and yoga pants and the stretches.", "raw_text": "Honey and yoga pants and the stretches.", "start_time": 1454.51, "end_time": 1457.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 476, "text": "What are you guys doing in here?", "raw_text": "What are you guys doing in here?", "start_time": 1460.83, "end_time": 1462.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 477, "text": "How can you get any work done?", "raw_text": "How can you get any work done?", "start_time": 1462.51, "end_time": 1464.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 478, "text": "I guess it's a screen saver.", "raw_text": "I guess it's a screen saver.", "start_time": 1464.91, "end_time": 1466.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 479, "text": "So I turn the CD off.", "raw_text": "So I turn the CD off.", "start_time": 1467.07, "end_time": 1468.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 480, "text": "It's motivation, man.", "raw_text": "It's motivation, man.", "start_time": 1470.36, "end_time": 1471.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 481, "text": "It's motivation.", "raw_text": "It's motivation.", "start_time": 1471.8, "end_time": 1472.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 482, "text": "Some people listen to Tony Robbins.", "raw_text": "Some people listen to Tony Robbins.", "start_time": 1474.2, "end_time": 1475.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 483, "text": "They watch.", "raw_text": "They watch.", "start_time": 1475.92, "end_time": 1476.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 484, "text": "I did linger long enough to see this called yoga honeys and I had Mitch loaded on rtp.", "raw_text": "I did linger long enough to see this called yoga honeys and I had Mitch loaded on rtp.", "start_time": 1478.36, "end_time": 1483.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 485, "text": "That's.", "raw_text": "That's.", "start_time": 1488.28, "end_time": 1488.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 486, "text": "The truck is sick.", "raw_text": "The truck is sick.", "start_time": 1488.64, "end_time": 1489.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 487, "text": "Yeah, that's one of those trucks I've been.", "raw_text": "Yeah, that's one of those trucks I've been.", "start_time": 1489.72, "end_time": 1492.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 488, "text": "What is that thing?", "raw_text": "What is that thing?", "start_time": 1492.16, "end_time": 1493.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 489, "text": "Is it grenadine?", "raw_text": "Is it grenadine?", "start_time": 1493.08, "end_time": 1493.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 490, "text": "It's like one of 924.", "raw_text": "It's like one of 924.", "start_time": 1493.96, "end_time": 1495.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 491, "text": "Like one of a thousand.", "raw_text": "Like one of a thousand.", "start_time": 1495.76, "end_time": 1496.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 492, "text": "Yeah, it's.", "raw_text": "Yeah, it's.", "start_time": 1496.84, "end_time": 1497.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 493, "text": "It's like.", "raw_text": "It's like.", "start_time": 1497.48, "end_time": 1498.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 494, "text": "I mean the OG one was like this guy billionaire was like, hey, the Land Rover is no longer a real off roading vehicle.", "raw_text": "I mean the OG one was like this guy billionaire was like, hey, the Land Rover is no longer a real off roading vehicle.", "start_time": 1498.33, "end_time": 1505.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 495, "text": "I'm going to build one.", "raw_text": "I'm going to build one.", "start_time": 1505.93, "end_time": 1506.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 496, "text": "And so like he literally created a car company to build like a LR2 replacement.", "raw_text": "And so like he literally created a car company to build like a LR2 replacement.", "start_time": 1507.05, "end_time": 1513.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 497, "text": "Okay.", "raw_text": "Okay.", "start_time": 1513.09, "end_time": 1513.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 498, "text": "In the modern age.", "raw_text": "In the modern age.", "start_time": 1513.49, "end_time": 1514.329, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 499, "text": "And so like it runs on a BMW engine.", "raw_text": "And so like it runs on a BMW engine.", "start_time": 1514.329, "end_time": 1516.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 500, "text": "It's like super built.", "raw_text": "It's like super built.", "start_time": 1516.53, "end_time": 1518.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 501, "text": "Like, I mean it looks like a flipping tank out there.", "raw_text": "Like, I mean it looks like a flipping tank out there.", "start_time": 1518.09, "end_time": 1521.05, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 502, "text": "It has like all of the systems you'd want in it.", "raw_text": "It has like all of the systems you'd want in it.", "start_time": 1521.45, "end_time": 1524.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 503, "text": "It's super.", "raw_text": "It's super.", "start_time": 1524.25, "end_time": 1524.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 504, "text": "Like, like there's a bunch of switches and like it's a cockpit.", "raw_text": "Like, like there's a bunch of switches and like it's a cockpit.", "start_time": 1524.81, "end_time": 1528.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 505, "text": "What came in.", "raw_text": "What came in.", "start_time": 1530.09, "end_time": 1530.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 506, "text": "I was like, who's visiting the office?", "raw_text": "I was like, who's visiting the office?", "start_time": 1530.77, "end_time": 1532.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 507, "text": "Like I know that's a sick ass right now.", "raw_text": "Like I know that's a sick ass right now.", "start_time": 1532.57, "end_time": 1535.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 508, "text": "It's awesome.", "raw_text": "It's awesome.", "start_time": 1535.25, "end_time": 1535.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 509, "text": "It has to be.", "raw_text": "It has to be.", "start_time": 1538.17, "end_time": 1539.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 510, "text": "It's.", "raw_text": "It's.", "start_time": 1539.01, "end_time": 1539.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 511, "text": "It's insanely expensive, but it is.", "raw_text": "It's insanely expensive, but it is.", "start_time": 1539.45, "end_time": 1542.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 512, "text": "It's one of those that like actually is built for.", "raw_text": "It's one of those that like actually is built for.", "start_time": 1543.05, "end_time": 1545.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 513, "text": "Like the thing it says it's built for.", "raw_text": "Like the thing it says it's built for.", "start_time": 1545.93, "end_time": 1547.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 514, "text": "That's cool.", "raw_text": "That's cool.", "start_time": 1548.33, "end_time": 1549.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 515, "text": "Without question.", "raw_text": "Without question.", "start_time": 1549.01, "end_time": 1549.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 516, "text": "But you know, it's awesome.", "raw_text": "But you know, it's awesome.", "start_time": 1550.09, "end_time": 1552.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 517, "text": "109.", "raw_text": "109.", "start_time": 1552.62, "end_time": 1553.322, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 518, "text": "100.", "raw_text": "100.", "start_time": 1553.478, "end_time": 1554.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 519, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1554.5, "end_time": 1554.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 520, "text": "So it'll hold Its value, too.", "raw_text": "So it'll hold Its value, too.", "start_time": 1555.78, "end_time": 1557.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 521, "text": "I mean, those old Land Rovers held us out.", "raw_text": "I mean, those old Land Rovers held us out.", "start_time": 1557.62, "end_time": 1559.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 522, "text": "Even the, like, OG ones that were actually good.", "raw_text": "Even the, like, OG ones that were actually good.", "start_time": 1559.82, "end_time": 1562.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 523, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1562.26, "end_time": 1562.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 524, "text": "Not the ones that, you know, talking about using.", "raw_text": "Not the ones that, you know, talking about using.", "start_time": 1563.62, "end_time": 1566.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 525, "text": "You know, one buddy in Austin had one of those.", "raw_text": "You know, one buddy in Austin had one of those.", "start_time": 1566.9, "end_time": 1569.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 526, "text": "The old, I think, Land Cruisers.", "raw_text": "The old, I think, Land Cruisers.", "start_time": 1569.38, "end_time": 1571.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 527, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1571.14, "end_time": 1571.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 528, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 1571.42, "end_time": 1572.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 529, "text": "Oh, and that thing was like.", "raw_text": "Oh, and that thing was like.", "start_time": 1572.26, "end_time": 1573.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 530, "text": "He's like, yeah.", "raw_text": "He's like, yeah.", "start_time": 1573.86, "end_time": 1574.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 531, "text": "He's like, I gotta sell this.", "raw_text": "He's like, I gotta sell this.", "start_time": 1574.46, "end_time": 1575.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 532, "text": "It's worth like 30 grand.", "raw_text": "It's worth like 30 grand.", "start_time": 1575.42, "end_time": 1577.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 533, "text": "He's like.", "raw_text": "He's like.", "start_time": 1578.11, "end_time": 1578.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 534, "text": "He's like, I use it as like, a side car.", "raw_text": "He's like, I use it as like, a side car.", "start_time": 1578.67, "end_time": 1580.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 535, "text": "It's old.", "raw_text": "It's old.", "start_time": 1580.71, "end_time": 1581.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 536, "text": "It's.", "raw_text": "It's.", "start_time": 1581.27, "end_time": 1581.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 537, "text": "You know, people pay.", "raw_text": "You know, people pay.", "start_time": 1581.63, "end_time": 1583.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 538, "text": "I mean, I saw someone pay for when it wasn't running, like, eight grand.", "raw_text": "I mean, I saw someone pay for when it wasn't running, like, eight grand.", "start_time": 1583.51, "end_time": 1586.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 539, "text": "Yeah, like.", "raw_text": "Yeah, like.", "start_time": 1588.11, "end_time": 1588.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 540, "text": "Well, I'm pretty sure it's just a timing chain.", "raw_text": "Well, I'm pretty sure it's just a timing chain.", "start_time": 1588.79, "end_time": 1590.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 541, "text": "It'll be fine.", "raw_text": "It'll be fine.", "start_time": 1590.39, "end_time": 1590.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 542, "text": "These things never die.", "raw_text": "These things never die.", "start_time": 1590.83, "end_time": 1591.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 543, "text": "That's crazy.", "raw_text": "That's crazy.", "start_time": 1592.11, "end_time": 1592.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 544, "text": "The guy at Regency, the secret president.", "raw_text": "The guy at Regency, the secret president.", "start_time": 1596.03, "end_time": 1600.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 545, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 1601.07, "end_time": 1601.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 546, "text": "We're at meeting.", "raw_text": "We're at meeting.", "start_time": 1601.63, "end_time": 1602.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 547, "text": "Do you guys still.", "raw_text": "Do you guys still.", "start_time": 1602.55, "end_time": 1603.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 548, "text": "So I work foundationing and knock out come work.", "raw_text": "So I work foundationing and knock out come work.", "start_time": 1603.31, "end_time": 1606.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 549, "text": "You want to do that?", "raw_text": "You want to do that?", "start_time": 1611.75, "end_time": 1612.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 550, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1612.87, "end_time": 1613.19, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 551, "text": "I don't understand this.", "raw_text": "I don't understand this.", "start_time": 1613.19, "end_time": 1614.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 552, "text": "Yeah, that's fine.", "raw_text": "Yeah, that's fine.", "start_time": 1614.39, "end_time": 1615.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 553, "text": "I don't know how we're.", "raw_text": "I don't know how we're.", "start_time": 1615.83, "end_time": 1616.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 554, "text": "So here's what I was saying, because I just had this run into.", "raw_text": "So here's what I was saying, because I just had this run into.", "start_time": 1617.03, "end_time": 1621.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 555, "text": "Run into this with custom rubber while, like, we understand that all you need is quad.", "raw_text": "Run into this with custom rubber while, like, we understand that all you need is quad.", "start_time": 1621.91, "end_time": 1629.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 556, "text": "These companies still want a custom piece of software.", "raw_text": "These companies still want a custom piece of software.", "start_time": 1629.69, "end_time": 1632.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 557, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1632.25, "end_time": 1632.61, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 558, "text": "They still want a web app.", "raw_text": "They still want a web app.", "start_time": 1632.61, "end_time": 1633.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 559, "text": "I don't know why, but, like, for whatever reason.", "raw_text": "I don't know why, but, like, for whatever reason.", "start_time": 1633.93, "end_time": 1636.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 560, "text": "So, like, you know, I had this conversation.", "raw_text": "So, like, you know, I had this conversation.", "start_time": 1636.85, "end_time": 1638.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 561, "text": "I wanted, like, automate some holding workflows.", "raw_text": "I wanted, like, automate some holding workflows.", "start_time": 1638.41, "end_time": 1640.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 562, "text": "I talked to him and I was like, you know, really, you should talk to Moreland.", "raw_text": "I talked to him and I was like, you know, really, you should talk to Moreland.", "start_time": 1640.81, "end_time": 1644.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 563, "text": "He's like, I don't want to spend that much money.", "raw_text": "He's like, I don't want to spend that much money.", "start_time": 1644.09, "end_time": 1645.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 564, "text": "I was like, they're going to be able to help me do that.", "raw_text": "I was like, they're going to be able to help me do that.", "start_time": 1645.77, "end_time": 1647.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 565, "text": "They got this foundation thing.", "raw_text": "They got this foundation thing.", "start_time": 1647.85, "end_time": 1648.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 566, "text": "I try to explain to him, all right, he talked to this company out in San Francisco that's basically going to sell in a web app.", "raw_text": "I try to explain to him, all right, he talked to this company out in San Francisco that's basically going to sell in a web app.", "start_time": 1648.69, "end_time": 1655.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 567, "text": "And I was like, dude, like, really, you could do this?", "raw_text": "And I was like, dude, like, really, you could do this?", "start_time": 1655.13, "end_time": 1658.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 568, "text": "As long I'll show you how.", "raw_text": "As long I'll show you how.", "start_time": 1658.02, "end_time": 1659.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 569, "text": "Like, if you're not gonna, like, pay someone for.", "raw_text": "Like, if you're not gonna, like, pay someone for.", "start_time": 1659.34, "end_time": 1661.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 570, "text": "Especially now with this pin app thing.", "raw_text": "Especially now with this pin app thing.", "start_time": 1661.7, "end_time": 1663.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 571, "text": "He wants the web app.", "raw_text": "He wants the web app.", "start_time": 1663.46, "end_time": 1665.14, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 572, "text": "You can send that web app.", "raw_text": "You can send that web app.", "start_time": 1665.38, "end_time": 1666.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 573, "text": "It's right there.", "raw_text": "It's right there.", "start_time": 1666.74, "end_time": 1667.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 574, "text": "Yes.", "raw_text": "Yes.", "start_time": 1669.78, "end_time": 1670.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 575, "text": "On that point, I really think, like, I would agree with that.", "raw_text": "On that point, I really think, like, I would agree with that.", "start_time": 1670.18, "end_time": 1672.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 576, "text": "There's people who.", "raw_text": "There's people who.", "start_time": 1672.74, "end_time": 1673.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 577, "text": "Well, like the mobile app thing.", "raw_text": "Well, like the mobile app thing.", "start_time": 1674.18, "end_time": 1675.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 578, "text": "Everybody wanted a mobile app or something.", "raw_text": "Everybody wanted a mobile app or something.", "start_time": 1675.74, "end_time": 1677.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 579, "text": "Oh, yeah.", "raw_text": "Oh, yeah.", "start_time": 1678.02, "end_time": 1678.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 580, "text": "And sometimes it's like you want to spend more because you think you're gonna get more.", "raw_text": "And sometimes it's like you want to spend more because you think you're gonna get more.", "start_time": 1680.1, "end_time": 1683.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 581, "text": "Like, it's the, you know, it's buying the luxury vodka or something.", "raw_text": "Like, it's the, you know, it's buying the luxury vodka or something.", "start_time": 1683.34, "end_time": 1686.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 582, "text": "Like, it's the same as the 20, but it's.", "raw_text": "Like, it's the same as the 20, but it's.", "start_time": 1686.72, "end_time": 1689.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 583, "text": "Yeah, I think the best way to sell foundation.", "raw_text": "Yeah, I think the best way to sell foundation.", "start_time": 1689.12, "end_time": 1691.12, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 584, "text": "Stop trying to sell foundation and sell, like, anything else.", "raw_text": "Stop trying to sell foundation and sell, like, anything else.", "start_time": 1691.12, "end_time": 1693.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 585, "text": "And that's what we need to do.", "raw_text": "And that's what we need to do.", "start_time": 1693.96, "end_time": 1695.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 586, "text": "Foundation.", "raw_text": "Foundation.", "start_time": 1695.4, "end_time": 1695.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 587, "text": "But like specifically campaigning around us, just like if we just go to companies, bigger companies, if we go to smaller ones.", "raw_text": "But like specifically campaigning around us, just like if we just go to companies, bigger companies, if we go to smaller ones.", "start_time": 1695.96, "end_time": 1703.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 588, "text": "Yeah, they probably want some sheep.", "raw_text": "Yeah, they probably want some sheep.", "start_time": 1703.08, "end_time": 1704.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 589, "text": "Like take the plug in or like sit with Orzen and take one person.", "raw_text": "Like take the plug in or like sit with Orzen and take one person.", "start_time": 1704.24, "end_time": 1708.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 590, "text": "Just pick one person, supercharge them with quad.", "raw_text": "Just pick one person, supercharge them with quad.", "start_time": 1708.2, "end_time": 1710.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 591, "text": "And then they're gonna be like, oh, like, how did you do that?", "raw_text": "And then they're gonna be like, oh, like, how did you do that?", "start_time": 1710.92, "end_time": 1712.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 592, "text": "And they're not gonna be smart enough to explain it to other people.", "raw_text": "And they're not gonna be smart enough to explain it to other people.", "start_time": 1712.92, "end_time": 1715.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 593, "text": "They're still gonna have to pay us.", "raw_text": "They're still gonna have to pay us.", "start_time": 1715.2, "end_time": 1716.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 594, "text": "So then we could go one person by one person and make service money off that on a retainer.", "raw_text": "So then we could go one person by one person and make service money off that on a retainer.", "start_time": 1716.44, "end_time": 1720.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 595, "text": "Or we say, oh, we have a platform that scales this and then we sell.", "raw_text": "Or we say, oh, we have a platform that scales this and then we sell.", "start_time": 1720.48, "end_time": 1724.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 596, "text": "It's almost like highland or like on like the onbase thing.", "raw_text": "It's almost like highland or like on like the onbase thing.", "start_time": 1724.2, "end_time": 1727.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 597, "text": "Whereas like, they weren't selling on base, they were selling a solution.", "raw_text": "Whereas like, they weren't selling on base, they were selling a solution.", "start_time": 1727.44, "end_time": 1730.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 598, "text": "And like on base, like all of you see it, it's like, it's just this.", "raw_text": "And like on base, like all of you see it, it's like, it's just this.", "start_time": 1730.44, "end_time": 1736.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 599, "text": "Everything generic, nothing.", "raw_text": "Everything generic, nothing.", "start_time": 1736.36, "end_time": 1737.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 600, "text": "Exactly.", "raw_text": "Exactly.", "start_time": 1738.2, "end_time": 1738.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 601, "text": "It's like instead of like use our foundation platform, it's like we're gonna build your custom foundation platform for you.", "raw_text": "It's like instead of like use our foundation platform, it's like we're gonna build your custom foundation platform for you.", "start_time": 1739.62, "end_time": 1746.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 602, "text": "You know, like that.", "raw_text": "You know, like that.", "start_time": 1747.38, "end_time": 1748.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 603, "text": "That's the flip.", "raw_text": "That's the flip.", "start_time": 1748.66, "end_time": 1749.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 604, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1749.86, "end_time": 1750.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 605, "text": "Not to use foundation.", "raw_text": "Not to use foundation.", "start_time": 1750.42, "end_time": 1751.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 606, "text": "We should be like, you should just use cloth.", "raw_text": "We should be like, you should just use cloth.", "start_time": 1751.54, "end_time": 1753.22, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 607, "text": "And then when they realize they're not smart enough to have everyone figure out how to do it, like we have this dummy proof version.", "raw_text": "And then when they realize they're not smart enough to have everyone figure out how to do it, like we have this dummy proof version.", "start_time": 1753.22, "end_time": 1758.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 608, "text": "No, it's not even like, hey, can you come in and do training?", "raw_text": "No, it's not even like, hey, can you come in and do training?", "start_time": 1758.1, "end_time": 1760.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 609, "text": "Yeah, yeah, I don't want to do it.", "raw_text": "Yeah, yeah, I don't want to do it.", "start_time": 1761.86, "end_time": 1763.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 610, "text": "To me, it is like there is gonna be, there's gonna be a lot of full circle things where, okay, SAS didn't fit what you need.", "raw_text": "To me, it is like there is gonna be, there's gonna be a lot of full circle things where, okay, SAS didn't fit what you need.", "start_time": 1763.26, "end_time": 1770.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 611, "text": "Right.", "raw_text": "Right.", "start_time": 1770.75, "end_time": 1771.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 612, "text": "So here's a lot.", "raw_text": "So here's a lot.", "start_time": 1771.87, "end_time": 1772.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 613, "text": "Here's, here's Claude.", "raw_text": "Here's, here's Claude.", "start_time": 1772.79, "end_time": 1773.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 614, "text": "This can fit literally everything you need with if we get the right.", "raw_text": "This can fit literally everything you need with if we get the right.", "start_time": 1773.75, "end_time": 1777.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 615, "text": "Like, we must build some custom mcps.", "raw_text": "Like, we must build some custom mcps.", "start_time": 1777.23, "end_time": 1779.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 616, "text": "That's initial foundation.", "raw_text": "That's initial foundation.", "start_time": 1779.11, "end_time": 1780.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 617, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1780.59, "end_time": 1781.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 618, "text": "Use Claude and you're gonna build stuff and you're.", "raw_text": "Use Claude and you're gonna build stuff and you're.", "start_time": 1781.15, "end_time": 1784.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 619, "text": "You've used it for a year.", "raw_text": "You've used it for a year.", "start_time": 1784.03, "end_time": 1785.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 620, "text": "You're gonna want to say like, well, I really like what's on what he's doing here and I like what Sam's doing here and I like he.", "raw_text": "You're gonna want to say like, well, I really like what's on what he's doing here and I like what Sam's doing here and I like he.", "start_time": 1785.79, "end_time": 1792.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 621, "text": "And then it's like, now you have like perfect market fit and then you harden that into like a custom app.", "raw_text": "And then it's like, now you have like perfect market fit and then you harden that into like a custom app.", "start_time": 1792.67, "end_time": 1797.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 622, "text": "Right.", "raw_text": "Right.", "start_time": 1797.86, "end_time": 1798.18, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 623, "text": "Eventually.", "raw_text": "Eventually.", "start_time": 1798.34, "end_time": 1798.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 624, "text": "Why do we keep refusing to do training?", "raw_text": "Why do we keep refusing to do training?", "start_time": 1799.14, "end_time": 1800.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 625, "text": "Like, can't we just hire for that?", "raw_text": "Like, can't we just hire for that?", "start_time": 1801.14, "end_time": 1802.66, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 626, "text": "Like, it's cheaper than a dev and then we can teach them how to do it.", "raw_text": "Like, it's cheaper than a dev and then we can teach them how to do it.", "start_time": 1802.66, "end_time": 1806.02, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 627, "text": "And then two, we're losing out on firsthand knowledge what our customers problems are.", "raw_text": "And then two, we're losing out on firsthand knowledge what our customers problems are.", "start_time": 1806.02, "end_time": 1809.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 628, "text": "Or we just work with like Julie's skill training, change management companies, like a partnership too.", "raw_text": "Or we just work with like Julie's skill training, change management companies, like a partnership too.", "start_time": 1809.699, "end_time": 1813.86, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 629, "text": "Yeah, like I feel like we're just like leaving money on the table.", "raw_text": "Yeah, like I feel like we're just like leaving money on the table.", "start_time": 1813.94, "end_time": 1816.58, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 630, "text": "I think it's, I think it's training, but it's like player coach.", "raw_text": "I think it's, I think it's training, but it's like player coach.", "start_time": 1820.77, "end_time": 1823.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 631, "text": "We're still doing.", "raw_text": "We're still doing.", "start_time": 1823.41, "end_time": 1824.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 632, "text": "Yeah, yeah, but like we need training.", "raw_text": "Yeah, yeah, but like we need training.", "start_time": 1824.53, "end_time": 1826.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 633, "text": "Our devs can't even figure out the workforce that we do.", "raw_text": "Our devs can't even figure out the workforce that we do.", "start_time": 1826.69, "end_time": 1829.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 634, "text": "You can't.", "raw_text": "You can't.", "start_time": 1830.05, "end_time": 1830.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 635, "text": "Well, can they figure it out or are they doing it?", "raw_text": "Well, can they figure it out or are they doing it?", "start_time": 1832.05, "end_time": 1833.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 636, "text": "Like if we walk around the bullpen and look at everyone working, I promise you they're not using any of the new features on a bunch.", "raw_text": "Like if we walk around the bullpen and look at everyone working, I promise you they're not using any of the new features on a bunch.", "start_time": 1833.97, "end_time": 1838.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 637, "text": "So do they have time?", "raw_text": "So do they have time?", "start_time": 1839.25, "end_time": 1840.13, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 638, "text": "I mean, do they have time to.", "raw_text": "I mean, do they have time to.", "start_time": 1840.13, "end_time": 1841.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 639, "text": "Right.", "raw_text": "Right.", "start_time": 1841.25, "end_time": 1841.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 640, "text": "That's why if you give.", "raw_text": "That's why if you give.", "start_time": 1842.45, "end_time": 1843.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 641, "text": "They're making money out.", "raw_text": "They're making money out.", "start_time": 1843.65, "end_time": 1844.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 642, "text": "I mean, I know they are, but it doesn't make sense for us to say like go explore, like go learn, if that makes sense.", "raw_text": "I mean, I know they are, but it doesn't make sense for us to say like go explore, like go learn, if that makes sense.", "start_time": 1844.93, "end_time": 1850.11, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 643, "text": "But like if we paid someone to set up the training and then gave it to them in a module that was like accessible, like I think it would.", "raw_text": "But like if we paid someone to set up the training and then gave it to them in a module that was like accessible, like I think it would.", "start_time": 1850.11, "end_time": 1856.79, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 644, "text": "You think that Claude training was useful?", "raw_text": "You think that Claude training was useful?", "start_time": 1857.35, "end_time": 1859.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 645, "text": "I don't.", "raw_text": "I don't.", "start_time": 1859.67, "end_time": 1860.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 646, "text": "Well, that's what Claude.", "raw_text": "Well, that's what Claude.", "start_time": 1860.87, "end_time": 1864.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 647, "text": "That's what the biggest company that has a real training program gave us.", "raw_text": "That's what the biggest company that has a real training program gave us.", "start_time": 1864.629, "end_time": 1867.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 648, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1868.71, "end_time": 1869.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 649, "text": "I feel you learn based on need, not based on.", "raw_text": "I feel you learn based on need, not based on.", "start_time": 1869.03, "end_time": 1871.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 650, "text": "It's the only way I've ever learned anything.", "raw_text": "It's the only way I've ever learned anything.", "start_time": 1873.51, "end_time": 1875.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 651, "text": "Right.", "raw_text": "Right.", "start_time": 1875.03, "end_time": 1875.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 652, "text": "I got a problem because I didn't have to, I don't have time to just do it.", "raw_text": "I got a problem because I didn't have to, I don't have time to just do it.", "start_time": 1876.31, "end_time": 1880.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 653, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1880.48, "end_time": 1880.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 654, "text": "This is, this is solving a problem for me.", "raw_text": "This is, this is solving a problem for me.", "start_time": 1880.84, "end_time": 1882.92, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 655, "text": "Right.", "raw_text": "Right.", "start_time": 1882.92, "end_time": 1883.28, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 656, "text": "Like this is, there's a, there's a, a way to land this.", "raw_text": "Like this is, there's a, there's a, a way to land this.", "start_time": 1883.28, "end_time": 1888, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 657, "text": "I do think that it's going to be customer by customer, like where we are at the data layers.", "raw_text": "I do think that it's going to be customer by customer, like where we are at the data layers.", "start_time": 1888, "end_time": 1892.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 658, "text": "Like these are on base for now and we'll make it better as time progresses.", "raw_text": "Like these are on base for now and we'll make it better as time progresses.", "start_time": 1892.72, "end_time": 1896.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 659, "text": "But like, oh yeah, but when it fits, it fits like Ren was a complete fit.", "raw_text": "But like, oh yeah, but when it fits, it fits like Ren was a complete fit.", "start_time": 1896.88, "end_time": 1901.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 660, "text": "They love that.", "raw_text": "They love that.", "start_time": 1902.48, "end_time": 1903.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 661, "text": "It's going to be.", "raw_text": "It's going to be.", "start_time": 1903.28, "end_time": 1904, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 662, "text": "Oh yeah, like acquiring different, like yeah, that was perfect.", "raw_text": "Oh yeah, like acquiring different, like yeah, that was perfect.", "start_time": 1904, "end_time": 1906.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 663, "text": "The different.", "raw_text": "The different.", "start_time": 1907.12, "end_time": 1907.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 664, "text": "They're rolling up all these roofing companies at different ERP system.", "raw_text": "They're rolling up all these roofing companies at different ERP system.", "start_time": 1907.84, "end_time": 1910.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 665, "text": "They want one set of data, they want one set of analytics.", "raw_text": "They want one set of data, they want one set of analytics.", "start_time": 1911.18, "end_time": 1914.06, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 666, "text": "That's a no brainer from Orland.", "raw_text": "That's a no brainer from Orland.", "start_time": 1914.7, "end_time": 1916.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 667, "text": "It's even, even for Moreland.", "raw_text": "It's even, even for Moreland.", "start_time": 1916.7, "end_time": 1921.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 668, "text": "It's like borderline.", "raw_text": "It's like borderline.", "start_time": 1921.34, "end_time": 1922.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 669, "text": "We're small.", "raw_text": "We're small.", "start_time": 1922.26, "end_time": 1922.78, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 670, "text": "Most of the we use has its own mcp except for a few things.", "raw_text": "Most of the we use has its own mcp except for a few things.", "start_time": 1923.58, "end_time": 1927.339, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 671, "text": "And we're like, we have departments of one.", "raw_text": "And we're like, we have departments of one.", "start_time": 1928.46, "end_time": 1930.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 672, "text": "But I could still probably squint and say there's a lot of things that would make sense to run just through the MCP still.", "raw_text": "But I could still probably squint and say there's a lot of things that would make sense to run just through the MCP still.", "start_time": 1931.02, "end_time": 1936.46, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 673, "text": "But I'm not going to force it.", "raw_text": "But I'm not going to force it.", "start_time": 1937.18, "end_time": 1938.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 674, "text": "Like it's not right.", "raw_text": "Like it's not right.", "start_time": 1938.34, "end_time": 1939.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 675, "text": "It's not a home run.", "raw_text": "It's not a home run.", "start_time": 1939.82, "end_time": 1940.9, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 676, "text": "And I feel like we're going to need customers where we're going to be at that gray area where, like, we can over complicate it and, like, blow a cell.", "raw_text": "And I feel like we're going to need customers where we're going to be at that gray area where, like, we can over complicate it and, like, blow a cell.", "start_time": 1940.9, "end_time": 1947.54, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 677, "text": "Or we could just, like, sell what they want.", "raw_text": "Or we could just, like, sell what they want.", "start_time": 1947.54, "end_time": 1950.38, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 678, "text": "And some of what they want is just, like, a couple of markdown files that explain that schema of like.", "raw_text": "And some of what they want is just, like, a couple of markdown files that explain that schema of like.", "start_time": 1951.34, "end_time": 1955.82, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 679, "text": "Yeah, like.", "raw_text": "Yeah, like.", "start_time": 1955.82, "end_time": 1956.3, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 680, "text": "Like what Kaden did with Infosec.", "raw_text": "Like what Kaden did with Infosec.", "start_time": 1958.06, "end_time": 1961.34, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 681, "text": "Yes.", "raw_text": "Yes.", "start_time": 1961.5, "end_time": 1961.98, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 682, "text": "Like, markdown files and prompts and they're like, what?", "raw_text": "Like, markdown files and prompts and they're like, what?", "start_time": 1961.98, "end_time": 1965.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 683, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1965.26, "end_time": 1965.74, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 684, "text": "Mind blowing.", "raw_text": "Mind blowing.", "start_time": 1965.74, "end_time": 1966.42, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 685, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1966.42, "end_time": 1966.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 686, "text": "I'm telling you, that is more valuable than, like, anything foundation could do.", "raw_text": "I'm telling you, that is more valuable than, like, anything foundation could do.", "start_time": 1966.7, "end_time": 1970.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 687, "text": "Because if we could give them foundation with a button to solve their problems, they couldn't figure out how to hit the button.", "raw_text": "Because if we could give them foundation with a button to solve their problems, they couldn't figure out how to hit the button.", "start_time": 1970.4, "end_time": 1975.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 688, "text": "Like, tr.", "raw_text": "Like, tr.", "start_time": 1975.56, "end_time": 1976.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 689, "text": "Serious.", "raw_text": "Serious.", "start_time": 1977.4, "end_time": 1978.04, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 690, "text": "The other thing, it's hard to plan for other than, like, I. I don't want to say, like, it's alak cart.", "raw_text": "The other thing, it's hard to plan for other than, like, I. I don't want to say, like, it's alak cart.", "start_time": 1981.64, "end_time": 1986.44, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 691, "text": "We're going to, like, just deal with every customer as they come, but I think that's kind of where we need to be because we could plan something in a week.", "raw_text": "We're going to, like, just deal with every customer as they come, but I think that's kind of where we need to be because we could plan something in a week.", "start_time": 1986.44, "end_time": 1993.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 692, "text": "Like, Claude's gonna release something.", "raw_text": "Like, Claude's gonna release something.", "start_time": 1993.84, "end_time": 1995.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 693, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1995.49, "end_time": 1995.85, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 694, "text": "It's gonna be like.", "raw_text": "It's gonna be like.", "start_time": 1995.85, "end_time": 1996.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 695, "text": "Agreed.", "raw_text": "Agreed.", "start_time": 1996.77, "end_time": 1997.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 696, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 1998.13, "end_time": 1998.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 697, "text": "And here's what I'll say it is too.", "raw_text": "And here's what I'll say it is too.", "start_time": 1998.53, "end_time": 2000.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 698, "text": "Because I think about it from the automatic side in particular.", "raw_text": "Because I think about it from the automatic side in particular.", "start_time": 2000.61, "end_time": 2003.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 699, "text": "It's like, with these products, like, if someone's on Epicore ERP 10.2 and they, like, spending $200,000 customizing it, those customizations might be in Epicore 11, like, as features.", "raw_text": "It's like, with these products, like, if someone's on Epicore ERP 10.2 and they, like, spending $200,000 customizing it, those customizations might be in Epicore 11, like, as features.", "start_time": 2003.41, "end_time": 2020.09, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 700, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2020.09, "end_time": 2020.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 701, "text": "But they will never switch to 11 because they've already spent the money and.", "raw_text": "But they will never switch to 11 because they've already spent the money and.", "start_time": 2020.41, "end_time": 2025.57, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 702, "text": "Right.", "raw_text": "Right.", "start_time": 2026.36, "end_time": 2026.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 703, "text": "And that's true.", "raw_text": "And that's true.", "start_time": 2026.6, "end_time": 2027.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 704, "text": "They'll stay on 10.2 until version 50.", "raw_text": "They'll stay on 10.2 until version 50.", "start_time": 2027.68, "end_time": 2030.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 705, "text": "And so there's a little bit of, like, just get them what works and they'll be happy with it.", "raw_text": "And so there's a little bit of, like, just get them what works and they'll be happy with it.", "start_time": 2032.2, "end_time": 2038, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 706, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2038, "end_time": 2038.36, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 707, "text": "You know what I mean?", "raw_text": "You know what I mean?", "start_time": 2038.76, "end_time": 2039.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 708, "text": "Like, because they're trying to run their business, they don't want to change their tooling every year.", "raw_text": "Like, because they're trying to run their business, they don't want to change their tooling every year.", "start_time": 2039.48, "end_time": 2043.8, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 709, "text": "They just need to, like, solve the problem.", "raw_text": "They just need to, like, solve the problem.", "start_time": 2043.96, "end_time": 2045.64, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 710, "text": "Once the problem solved, they're gonna.", "raw_text": "Once the problem solved, they're gonna.", "start_time": 2045.64, "end_time": 2047.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 711, "text": "Unless it, like, gets, you know, super slow or, like, completely untenable, they're on a stick with it forever.", "raw_text": "Unless it, like, gets, you know, super slow or, like, completely untenable, they're on a stick with it forever.", "start_time": 2047.32, "end_time": 2053.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 712, "text": "So, like, let's just land the forever solutions and keep pushing and, like, be the guys that did that for them profitably hope.", "raw_text": "So, like, let's just land the forever solutions and keep pushing and, like, be the guys that did that for them profitably hope.", "start_time": 2054.09, "end_time": 2061.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 713, "text": "Like, that's to be our internal objective.", "raw_text": "Like, that's to be our internal objective.", "start_time": 2061.97, "end_time": 2064.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 714, "text": "And like, the other, like, when they are ready to do something different, they'll come back to us.", "raw_text": "And like, the other, like, when they are ready to do something different, they'll come back to us.", "start_time": 2064.57, "end_time": 2068.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 715, "text": "Right.", "raw_text": "Right.", "start_time": 2068.25, "end_time": 2068.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 716, "text": "We don't have to blow whatever sale.", "raw_text": "We don't have to blow whatever sale.", "start_time": 2068.73, "end_time": 2070.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 717, "text": "It's a full foundation.", "raw_text": "It's a full foundation.", "start_time": 2070.45, "end_time": 2071.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 718, "text": "Yeah, for sure.", "raw_text": "Yeah, for sure.", "start_time": 2072.33, "end_time": 2073.01, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 719, "text": "I mean, like, Safeguard is a prime example of that.", "raw_text": "I mean, like, Safeguard is a prime example of that.", "start_time": 2073.01, "end_time": 2074.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 720, "text": "Like, it's pretty much just Workflow Builder.", "raw_text": "Like, it's pretty much just Workflow Builder.", "start_time": 2074.97, "end_time": 2078.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 721, "text": "Yeah, it's literally just workflow builder.", "raw_text": "Yeah, it's literally just workflow builder.", "start_time": 2078.29, "end_time": 2080.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 722, "text": "Right.", "raw_text": "Right.", "start_time": 2080.17, "end_time": 2080.41, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 723, "text": "Plus, it's like, foundation doesn't need to be Cutting edge.", "raw_text": "Plus, it's like, foundation doesn't need to be Cutting edge.", "start_time": 2081.05, "end_time": 2083.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 724, "text": "Because they don't need that much cutting edge.", "raw_text": "Because they don't need that much cutting edge.", "start_time": 2083.53, "end_time": 2085.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 725, "text": "Like it needs to just like it's like we're never going to win a race against Claw.", "raw_text": "Like it needs to just like it's like we're never going to win a race against Claw.", "start_time": 2085.17, "end_time": 2090.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 726, "text": "We don't have to.", "raw_text": "We don't have to.", "start_time": 2090.53, "end_time": 2091.21, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 727, "text": "It doesn't even have to be like 50 as good as clock.", "raw_text": "It doesn't even have to be like 50 as good as clock.", "start_time": 2091.21, "end_time": 2093.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 728, "text": "Just got to be better than what they have.", "raw_text": "Just got to be better than what they have.", "start_time": 2093.73, "end_time": 2094.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 729, "text": "Which is not that hard.", "raw_text": "Which is not that hard.", "start_time": 2094.97, "end_time": 2095.93, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 730, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2095.93, "end_time": 2096.29, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 731, "text": "Yeah, it was.", "raw_text": "Yeah, it was.", "start_time": 2096.29, "end_time": 2096.889, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 732, "text": "It's just nice.", "raw_text": "It's just nice.", "start_time": 2096.889, "end_time": 2097.81, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 733, "text": "It's like exactly.", "raw_text": "It's like exactly.", "start_time": 2097.81, "end_time": 2099.37, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 734, "text": "I mean even if you can make the say you can make the like claim like.", "raw_text": "I mean even if you can make the say you can make the like claim like.", "start_time": 2100.09, "end_time": 2103.45, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 735, "text": "Well, like any of them could do the same thing that are worth.", "raw_text": "Well, like any of them could do the same thing that are worth.", "start_time": 2103.45, "end_time": 2106.17, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 736, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2106.84, "end_time": 2107.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 737, "text": "But they just want someone to sit there and do it with them and make sure it's good and works.", "raw_text": "But they just want someone to sit there and do it with them and make sure it's good and works.", "start_time": 2107.56, "end_time": 2111.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 738, "text": "So who cares what it is?", "raw_text": "So who cares what it is?", "start_time": 2112.44, "end_time": 2113.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 739, "text": "Like they're always going to be an argument.", "raw_text": "Like they're always going to be an argument.", "start_time": 2113.84, "end_time": 2115.4, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 740, "text": "But that's.", "raw_text": "But that's.", "start_time": 2117.64, "end_time": 2118.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 741, "text": "I, I don't.", "raw_text": "I, I don't.", "start_time": 2118.6, "end_time": 2119.48, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 742, "text": "But I, I do think though second point that I want to make before the meeting's done outside of the business strategy is the data strategy stuff that we're talking about like sandwich offer.", "raw_text": "But I, I do think though second point that I want to make before the meeting's done outside of the business strategy is the data strategy stuff that we're talking about like sandwich offer.", "start_time": 2119.56, "end_time": 2128.68, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 743, "text": "And I think the next step would be two things.", "raw_text": "And I think the next step would be two things.", "start_time": 2128.84, "end_time": 2132.2, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 744, "text": "One with the speed at which things are moving and like I feel like we could use probably like a monthly reoccurring of like lightning downloads of stuff we're seeing like as one of our standups, like a longer session.", "raw_text": "One with the speed at which things are moving and like I feel like we could use probably like a monthly reoccurring of like lightning downloads of stuff we're seeing like as one of our standups, like a longer session.", "start_time": 2132.2, "end_time": 2143.49, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 745, "text": "So maybe what we should do.", "raw_text": "So maybe what we should do.", "start_time": 2143.81, "end_time": 2145.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 746, "text": "People don't even know what the Moreland Foundation MCP can do.", "raw_text": "People don't even know what the Moreland Foundation MCP can do.", "start_time": 2145.41, "end_time": 2148.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 747, "text": "Like no one does.", "raw_text": "Like no one does.", "start_time": 2148.33, "end_time": 2149.25, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 748, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2149.25, "end_time": 2149.69, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 749, "text": "Actually I think we should just have lunches where we just like chill out in this room and like show me something cool you did with AI.", "raw_text": "Actually I think we should just have lunches where we just like chill out in this room and like show me something cool you did with AI.", "start_time": 2149.69, "end_time": 2157.33, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 750, "text": "Like so like just random.", "raw_text": "Like so like just random.", "start_time": 2157.49, "end_time": 2159.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 751, "text": "I think we should talk through the end profit trainings.", "raw_text": "I think we should talk through the end profit trainings.", "start_time": 2159.91, "end_time": 2161.87, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 752, "text": "I do think there was useful stuff in the end.", "raw_text": "I do think there was useful stuff in the end.", "start_time": 2161.87, "end_time": 2163.35, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 753, "text": "And then.", "raw_text": "And then.", "start_time": 2164.71, "end_time": 2165.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 754, "text": "So who you want me to start scheduling those?", "raw_text": "So who you want me to start scheduling those?", "start_time": 2165.59, "end_time": 2167.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 755, "text": "Because I like it.", "raw_text": "Because I like it.", "start_time": 2167.75, "end_time": 2168.31, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 756, "text": "You schedule those.", "raw_text": "You schedule those.", "start_time": 2168.31, "end_time": 2168.95, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 757, "text": "We can talk about that.", "raw_text": "We can talk about that.", "start_time": 2169.11, "end_time": 2170.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 758, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2170.03, "end_time": 2170.23, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 759, "text": "If you just want to throw, throw one one on a month.", "raw_text": "If you just want to throw, throw one one on a month.", "start_time": 2170.23, "end_time": 2172.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 760, "text": "I would just keep them like casual because it's conversations.", "raw_text": "I would just keep them like casual because it's conversations.", "start_time": 2172.55, "end_time": 2175.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 761, "text": "Like I have conversations with like Ethan every day on his agent setup on what he's doing.", "raw_text": "Like I have conversations with like Ethan every day on his agent setup on what he's doing.", "start_time": 2175.67, "end_time": 2180.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 762, "text": "Like people don't want to, like people just want to learn from each other and share what they're doing.", "raw_text": "Like people don't want to, like people just want to learn from each other and share what they're doing.", "start_time": 2180.71, "end_time": 2184.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 763, "text": "You know, I feel like the best format person would be like a 10 minute, 5, 20 minute like presentation.", "raw_text": "You know, I feel like the best format person would be like a 10 minute, 5, 20 minute like presentation.", "start_time": 2184.75, "end_time": 2190.27, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 764, "text": "Start with like one guy the topic to like steer discussion and then like rest of the hours just like open discussion or something like that.", "raw_text": "Start with like one guy the topic to like steer discussion and then like rest of the hours just like open discussion or something like that.", "start_time": 2190.27, "end_time": 2196.59, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 765, "text": "Maybe like more like structure.", "raw_text": "Maybe like more like structure.", "start_time": 2196.59, "end_time": 2197.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 766, "text": "It'd be even cool.", "raw_text": "It'd be even cool.", "start_time": 2197.99, "end_time": 2198.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 767, "text": "It doesn't even have to be AI.", "raw_text": "It doesn't even have to be AI.", "start_time": 2198.99, "end_time": 2200.43, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 768, "text": "Like there's projects being turned out that are like awesome across the company that like half of the people have Ever seen.", "raw_text": "Like there's projects being turned out that are like awesome across the company that like half of the people have Ever seen.", "start_time": 2200.589, "end_time": 2208.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 769, "text": "It'd be cool to share.", "raw_text": "It'd be cool to share.", "start_time": 2208.39, "end_time": 2209.63, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 770, "text": "I mean yeah, I mean even like little things like not even a project but like I just said Ford show, which is like a get.", "raw_text": "I mean yeah, I mean even like little things like not even a project but like I just said Ford show, which is like a get.", "start_time": 2209.95, "end_time": 2217.39, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 771, "text": "Like basically OD wanted to be able to see the repo, see stuff in the repo.", "raw_text": "Like basically OD wanted to be able to see the repo, see stuff in the repo.", "start_time": 2217.47, "end_time": 2221.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 772, "text": "But like I don't want to deal with like 12 new assets things.", "raw_text": "But like I don't want to deal with like 12 new assets things.", "start_time": 2221.67, "end_time": 2226.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 773, "text": "Oh there's this like whole thing.", "raw_text": "Oh there's this like whole thing.", "start_time": 2226.07, "end_time": 2227.51, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 774, "text": "You just mirror it in their network.", "raw_text": "You just mirror it in their network.", "start_time": 2227.51, "end_time": 2229.07, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 775, "text": "Now they have a mirror of the repo.", "raw_text": "Now they have a mirror of the repo.", "start_time": 2229.55, "end_time": 2231.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 776, "text": "Like we can do that with all of our customers and you can like self hosted on a mini ass docker.", "raw_text": "Like we can do that with all of our customers and you can like self hosted on a mini ass docker.", "start_time": 2231.63, "end_time": 2236.75, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 777, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2236.75, "end_time": 2237.15, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 778, "text": "All you need is a personal access token replicated like now this becomes a like thing we can do with any customer.", "raw_text": "All you need is a personal access token replicated like now this becomes a like thing we can do with any customer.", "start_time": 2237.15, "end_time": 2242.73, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 779, "text": "It's not AI at all but it's just like that is going to make them feel awesome.", "raw_text": "It's not AI at all but it's just like that is going to make them feel awesome.", "start_time": 2242.73, "end_time": 2247.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 780, "text": "Right.", "raw_text": "Right.", "start_time": 2247.77, "end_time": 2247.97, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 781, "text": "And it looks, it feels like GitHub.", "raw_text": "And it looks, it feels like GitHub.", "start_time": 2247.97, "end_time": 2249.53, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 782, "text": "Right.", "raw_text": "Right.", "start_time": 2249.53, "end_time": 2249.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 783, "text": "For all their purposes right now we can send them links to markdown files and that we couldn't do before.", "raw_text": "For all their purposes right now we can send them links to markdown files and that we couldn't do before.", "start_time": 2249.77, "end_time": 2254.65, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 784, "text": "A lot of the best stuff like deny.", "raw_text": "A lot of the best stuff like deny.", "start_time": 2254.73, "end_time": 2256.77, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 785, "text": "I think I know I got kids today moving like our next stand up on like Tuesday.", "raw_text": "I think I know I got kids today moving like our next stand up on like Tuesday.", "start_time": 2256.77, "end_time": 2267.32, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 786, "text": "Maybe we bring salmon and just talk through like those different like LLM wiki or like data layer stuff.", "raw_text": "Maybe we bring salmon and just talk through like those different like LLM wiki or like data layer stuff.", "start_time": 2267.64, "end_time": 2272.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 787, "text": "Because I think that like I don't think either of us can solve it in isolation.", "raw_text": "Because I think that like I don't think either of us can solve it in isolation.", "start_time": 2272.24, "end_time": 2275.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 788, "text": "I think like all four of us to be able to like talk through it and then I think we should like come up with some type of plan and think like okay, what's, what's clock gonna build?", "raw_text": "I think like all four of us to be able to like talk through it and then I think we should like come up with some type of plan and think like okay, what's, what's clock gonna build?", "start_time": 2275.88, "end_time": 2284.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 789, "text": "Or at least like what's obvious that the market's gonna solve for first.", "raw_text": "Or at least like what's obvious that the market's gonna solve for first.", "start_time": 2284.68, "end_time": 2287.84, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 790, "text": "Like what do we have to build in house?", "raw_text": "Like what do we have to build in house?", "start_time": 2287.84, "end_time": 2289.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 791, "text": "Like the next obvious thing is clubs.", "raw_text": "Like the next obvious thing is clubs.", "start_time": 2289.32, "end_time": 2291.96, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 792, "text": "This live thing is going to have like buttons and actions.", "raw_text": "This live thing is going to have like buttons and actions.", "start_time": 2292.76, "end_time": 2296.76, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 793, "text": "Yeah, exactly.", "raw_text": "Yeah, exactly.", "start_time": 2296.76, "end_time": 2297.72, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 794, "text": "It's just going to be an app.", "raw_text": "It's just going to be an app.", "start_time": 2298.12, "end_time": 2299.08, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 795, "text": "But I still think like some degree of being able to share those on our own terms like with that blob storage.", "raw_text": "But I still think like some degree of being able to share those on our own terms like with that blob storage.", "start_time": 2299.16, "end_time": 2304.52, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 796, "text": "Well that's probably going to be something we're going to want to build in the foundation anyways.", "raw_text": "Well that's probably going to be something we're going to want to build in the foundation anyways.", "start_time": 2304.6, "end_time": 2307.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 797, "text": "So that probably makes sense for us to build no matter what.", "raw_text": "So that probably makes sense for us to build no matter what.", "start_time": 2307.32, "end_time": 2309.88, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 798, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2310.68, "end_time": 2311.16, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 799, "text": "So well, should I just make next Tuesday stand up like an hour long and invite Sam?", "raw_text": "So well, should I just make next Tuesday stand up like an hour long and invite Sam?", "start_time": 2312.44, "end_time": 2317.24, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 800, "text": "We just do that and I can like prep for it with an agenda stuff to go through.", "raw_text": "We just do that and I can like prep for it with an agenda stuff to go through.", "start_time": 2317.24, "end_time": 2320.6, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 801, "text": "Yeah, sounds good.", "raw_text": "Yeah, sounds good.", "start_time": 2320.87, "end_time": 2321.83, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 802, "text": "You guys in the room now?", "raw_text": "You guys in the room now?", "start_time": 2327.59, "end_time": 2328.71, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 803, "text": "Oh no, we're gonna wait till like noon here.", "raw_text": "Oh no, we're gonna wait till like noon here.", "start_time": 2330.23, "end_time": 2333.67, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 804, "text": "I didn't put in my room speeding.", "raw_text": "I didn't put in my room speeding.", "start_time": 2343.51, "end_time": 2345.03, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 805, "text": "You got to be Sam.", "raw_text": "You got to be Sam.", "start_time": 2345.03, "end_time": 2345.99, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 806, "text": "I guess.", "raw_text": "I guess.", "start_time": 2345.99, "end_time": 2346.47, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 807, "text": "Sam said one of you guys on his meeting.", "raw_text": "Sam said one of you guys on his meeting.", "start_time": 2350.5, "end_time": 2352.1, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 808, "text": "Oh yeah, no, that was me.", "raw_text": "Oh yeah, no, that was me.", "start_time": 2352.66, "end_time": 2353.94, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 809, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2354.02, "end_time": 2354.5, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 810, "text": "These all at the same workflow.", "raw_text": "These all at the same workflow.", "start_time": 2357.3, "end_time": 2361.62, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 811, "text": "Are you on your fireplace, Bill, perchance?", "raw_text": "Are you on your fireplace, Bill, perchance?", "start_time": 2362.58, "end_time": 2364.26, "speaker_id": 0, "speaker_name": "Mark Murphy"}, {"index": 812, "text": "Yeah, I'm still on it.", "raw_text": "Yeah, I'm still on it.", "start_time": 2364.58, "end_time": 2365.7, "speaker_id": 0, "speaker_name": "Mark Murphy"}]
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bronze_hubspot_deals
id
55389479302
created_at
2026-02-03 19:12:06.398000+00:00
updated_at
2026-02-11 19:58:21.320000+00:00
archived
No
amount
150000
closedate
2026-02-28 19:10:37.680000+00:00
createdate
2026-02-03 19:12:06.398000+00:00
dealname
Veritext - FOUNDATION AI
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-02-11 19:58:21.320000+00:00
hs_object_id
55389479302
hubspot_owner_id
26186329
pipeline
default
associated_company_id
46564475035
associated_companies_ids
46564475035
associated_contact_id
3185
associated_contacts_ids
3185
|
|||||||
| hubspot | 48988206120 | Action Industries - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
48988206120
created_at
2025-11-13 19:15:03.898000+00:00
updated_at
2026-02-11 17:39:22.231000+00:00
archived
No
amount
200000
closedate
2026-02-27 18:38:10.813000+00:00
createdate
2025-11-13 19:15:03.898000+00:00
dealname
Action Industries - Foundation Build
dealstage
decisionmakerboughtin
hs_lastmodifieddate
2026-02-11 17:39:22.231000+00:00
hs_object_id
48988206120
hubspot_owner_id
80112004
pipeline
default
associated_company_id
43459486242
associated_companies_ids
43459486242
associated_contact_id
170778055744
associated_contacts_ids
170778055744
|
|||||||
| hubspot | 59021417232 | Extera/Warren Roofing - FOUNDATION AI | 0.80 | fuzzy+embedding | Active |
|
|
| hubspot | 54061779506 | General Pipe - Foundation | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
54061779506
created_at
2026-01-16 15:19:36.755000+00:00
updated_at
2026-02-11 12:08:51.283000+00:00
archived
No
amount
80000
closedate
2026-04-24 14:18:35.080000+00:00
createdate
2026-01-16 15:19:36.755000+00:00
dealname
General Pipe - Foundation
dealstage
128910732
hs_lastmodifieddate
2026-02-11 12:08:51.283000+00:00
hs_object_id
54061779506
hubspot_owner_id
555004277
pipeline
default
associated_company_id
45063806294
associated_companies_ids
45063806294
associated_contact_id
67185872209
associated_contacts_ids
67185872209
|
|||||||
| hubspot | 49530848587 | Whirly Drink Works - FOUNDATION | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
49530848587
created_at
2025-11-18 17:34:12.187000+00:00
updated_at
2026-01-28 11:21:18.344000+00:00
archived
No
amount
100000
closedate
2026-05-15 17:49:07.843000+00:00
createdate
2025-11-18 17:34:12.187000+00:00
dealname
Whirly Drink Works - FOUNDATION
dealstage
appointmentscheduled
hs_lastmodifieddate
2026-01-28 11:21:18.344000+00:00
hs_object_id
49530848587
hubspot_owner_id
555004277
pipeline
default
associated_company_id
789471730
associated_companies_ids
789471730
associated_contact_id
192101
associated_contacts_ids
192101
|
|||||||
| hubspot | 48859550314 | ROE Dental - Foundation Buildout | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
48859550314
created_at
2025-11-11 19:19:28.113000+00:00
updated_at
2026-02-11 12:43:58.169000+00:00
archived
No
amount
75000
closedate
2026-03-27 17:40:27.998000+00:00
createdate
2025-11-11 19:19:28.113000+00:00
dealname
ROE Dental - Foundation Buildout
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-02-11 12:43:58.169000+00:00
hs_object_id
48859550314
hubspot_owner_id
80112004
pipeline
default
associated_company_id
43011019124
associated_companies_ids
43011019124
associated_contact_id
172257567581
associated_contacts_ids
172257567581,182491033356
|
|||||||
| hubspot | 51514756956 | Playaway - FOUNDATION | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
51514756956
created_at
2025-12-10 18:12:07.173000+00:00
updated_at
2026-01-24 21:18:46.649000+00:00
archived
No
amount
—
closedate
2026-03-20 14:55:06.365000+00:00
createdate
2025-12-10 18:12:07.173000+00:00
dealname
Playaway - FOUNDATION
dealstage
d5795bba-890b-4c10-a197-2be972bfc9c5
hs_lastmodifieddate
2026-01-24 21:18:46.649000+00:00
hs_object_id
51514756956
hubspot_owner_id
555004277
pipeline
default
associated_company_id
40550816646
associated_companies_ids
40550816646
associated_contact_id
100903434038
associated_contacts_ids
100903434038
|
|||||||
| hubspot | 43347197861 | Thesis Lighting - ERP/FOUNDATION | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
43347197861
created_at
2025-09-04 17:25:09.929000+00:00
updated_at
2026-02-11 14:59:01.362000+00:00
archived
No
amount
250000
closedate
2026-01-16 19:09:22.632000+00:00
createdate
2025-09-04 17:25:09.929000+00:00
dealname
Thesis Lighting - ERP/FOUNDATION
dealstage
128910732
hs_lastmodifieddate
2026-02-11 14:59:01.362000+00:00
hs_object_id
43347197861
hubspot_owner_id
26186329
pipeline
default
associated_company_id
39162623793
associated_companies_ids
39162623793
associated_contact_id
152777772884
associated_contacts_ids
152777772884
|
|||||||
| hubspot | 49070573974 | MAGNET - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
49070573974
created_at
2025-11-14 16:42:34.049000+00:00
updated_at
2026-01-12 15:03:12.882000+00:00
archived
No
amount
50000
closedate
2025-12-16 18:32:53.277000+00:00
createdate
2025-11-14 16:42:34.049000+00:00
dealname
MAGNET - Foundation Build
dealstage
closedlost
hs_lastmodifieddate
2026-01-12 15:03:12.882000+00:00
hs_object_id
49070573974
hubspot_owner_id
80112004
pipeline
default
associated_company_id
39370806915
associated_companies_ids
39370806915
associated_contact_id
168541337628
associated_contacts_ids
168541337628
|
|||||||
| hubspot | 49070613783 | Lokring - Foundation Global Sales | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
49070613783
created_at
2025-11-13 20:24:34.842000+00:00
updated_at
2026-01-28 11:03:03.717000+00:00
archived
No
amount
40000
closedate
2026-05-22 18:54:16.346000+00:00
createdate
2025-11-13 20:24:34.842000+00:00
dealname
Lokring - Foundation Global Sales
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-01-28 11:03:03.717000+00:00
hs_object_id
49070613783
hubspot_owner_id
80112004
pipeline
default
associated_company_id
42249820525
associated_companies_ids
42249820525
associated_contact_id
171916410702
associated_contacts_ids
171916410702
|
|||||||
| hubspot | 51633404523 | Signet - FOUNDATION | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
51633404523
created_at
2025-12-10 17:57:07.705000+00:00
updated_at
2026-02-11 12:09:38.817000+00:00
archived
No
amount
300000
closedate
2026-04-17 14:53:29.958000+00:00
createdate
2025-12-10 17:57:07.705000+00:00
dealname
Signet - FOUNDATION
dealstage
appointmentscheduled
hs_lastmodifieddate
2026-02-11 12:09:38.817000+00:00
hs_object_id
51633404523
hubspot_owner_id
555004277
pipeline
default
associated_company_id
29554241050
associated_companies_ids
29554241050
associated_contact_id
33680406830
associated_contacts_ids
33680406830
|
|||||||
| hubspot | 49531035517 | Usalco - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
49531035517
created_at
2025-11-18 17:38:42.832000+00:00
updated_at
2026-02-05 19:10:14.670000+00:00
archived
No
amount
50000
closedate
2026-05-15 18:54:01.700000+00:00
createdate
2025-11-18 17:38:42.832000+00:00
dealname
Usalco - Foundation Build
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-02-05 19:10:14.670000+00:00
hs_object_id
49531035517
hubspot_owner_id
80112004
pipeline
default
associated_company_id
44444617477
associated_companies_ids
44444617477
associated_contact_id
174472852633
associated_contacts_ids
174472852633
|
|||||||
| hubspot | 54061779365 | Playaway - Foundation | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
54061779365
created_at
2026-01-16 15:17:43.428000+00:00
updated_at
2026-02-11 12:42:53.226000+00:00
archived
No
amount
80000
closedate
2026-04-17 14:17:41.403000+00:00
createdate
2026-01-16 15:17:43.428000+00:00
dealname
Playaway - Foundation
dealstage
128910732
hs_lastmodifieddate
2026-02-11 12:42:53.226000+00:00
hs_object_id
54061779365
hubspot_owner_id
555004277
pipeline
default
associated_company_id
40550816646
associated_companies_ids
40550816646
associated_contact_id
100903434038
associated_contacts_ids
100903434038
|
|||||||
| hubspot | 52224363409 | Iron Mountain - FOUNDATION | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
52224363409
created_at
2025-12-19 20:30:49.558000+00:00
updated_at
2026-02-11 12:10:27.080000+00:00
archived
No
amount
200000
closedate
2026-02-27 20:29:55.280000+00:00
createdate
2025-12-19 20:30:49.558000+00:00
dealname
Iron Mountain - FOUNDATION
dealstage
appointmentscheduled
hs_lastmodifieddate
2026-02-11 12:10:27.080000+00:00
hs_object_id
52224363409
hubspot_owner_id
30735443
pipeline
default
associated_company_id
46555543690
associated_companies_ids
46555543690
associated_contact_id
144101
associated_contacts_ids
144101
|
|||||||
| hubspot | 53272274341 | Expedient Foundation Demo - Brad Reynolds | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
53272274341
created_at
2026-01-05 21:25:09.428000+00:00
updated_at
2026-02-11 17:15:25.202000+00:00
archived
No
amount
—
closedate
2026-01-31 21:23:55.229000+00:00
createdate
2026-01-05 21:25:09.428000+00:00
dealname
Expedient Foundation Demo - Brad Reynolds
dealstage
d5795bba-890b-4c10-a197-2be972bfc9c5
hs_lastmodifieddate
2026-02-11 17:15:25.202000+00:00
hs_object_id
53272274341
hubspot_owner_id
77853175
pipeline
default
associated_company_id
21308675692
associated_companies_ids
21308675692
associated_contact_id
101159862603
associated_contacts_ids
101159862603
|
|||||||
| hubspot | 39826418530 | Foundation for Stone Fabricators | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
39826418530
created_at
2025-07-07 15:49:09.660000+00:00
updated_at
2026-01-28 11:13:59.413000+00:00
archived
No
amount
75000
closedate
2026-06-12 19:00:47.260000+00:00
createdate
2025-07-07 15:49:09.660000+00:00
dealname
Foundation for Stone Fabricators
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-01-28 11:13:59.413000+00:00
hs_object_id
39826418530
hubspot_owner_id
80112004
pipeline
default
associated_company_id
40492299386
associated_companies_ids
40492299386
associated_contact_id
85151
associated_contacts_ids
85151
|
|||||||
| hubspot | 54078438021 | Ekso - Foundation | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
54078438021
created_at
2026-01-16 15:23:14.804000+00:00
updated_at
2026-01-31 21:27:10.759000+00:00
archived
No
amount
80000
closedate
2026-05-22 14:20:53.433000+00:00
createdate
2026-01-16 15:23:14.804000+00:00
dealname
Ekso - Foundation
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-01-31 21:27:10.759000+00:00
hs_object_id
54078438021
hubspot_owner_id
555004277
pipeline
default
associated_company_id
16912585101
associated_companies_ids
16912585101
associated_contact_id
346351
associated_contacts_ids
346351
|
|||||||
| hubspot | 46736689760 | Oatey - AI Foundation Solution Builds | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
46736689760
created_at
2025-10-22 17:30:58.891000+00:00
updated_at
2026-01-17 23:54:00.406000+00:00
archived
No
amount
100000
closedate
2026-04-17 14:49:05.941000+00:00
createdate
2025-10-22 17:30:58.891000+00:00
dealname
Oatey - AI Foundation Solution Builds
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-01-17 23:54:00.406000+00:00
hs_object_id
46736689760
hubspot_owner_id
555004277
pipeline
default
associated_company_id
42470760474
associated_companies_ids
42470760474
associated_contact_id
—
associated_contacts_ids
—
|
|||||||
| hubspot | 45943096994 | Pease Bell - Foundation | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
45943096994
created_at
2025-10-14 15:30:37.788000+00:00
updated_at
2026-01-27 20:57:26.029000+00:00
archived
No
amount
50000
closedate
2026-05-22 18:56:24.871000+00:00
createdate
2025-10-14 15:30:37.788000+00:00
dealname
Pease Bell - Foundation
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-01-27 20:57:26.029000+00:00
hs_object_id
45943096994
hubspot_owner_id
80112004
pipeline
default
associated_company_id
41595698823
associated_companies_ids
41595698823
associated_contact_id
162773270801
associated_contacts_ids
162773270801,165984872724
|
|||||||
| hubspot | 49641843318 | Extera - FOUNDATION and BI | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
49641843318
created_at
2025-11-19 21:40:06.579000+00:00
updated_at
2026-01-16 16:38:34.179000+00:00
archived
No
amount
35000
closedate
2026-01-16 16:38:28.980000+00:00
createdate
2025-11-19 21:40:06.579000+00:00
dealname
Extera - FOUNDATION and BI
dealstage
closedlost
hs_lastmodifieddate
2026-01-16 16:38:34.179000+00:00
hs_object_id
49641843318
hubspot_owner_id
26186329
pipeline
default
associated_company_id
43907242774
associated_companies_ids
43907242774
associated_contact_id
191003
associated_contacts_ids
191003
|
|||||||
| hubspot | 57506830170 | Home Genius Exteriors - FOUNDATION | 0.80 | fuzzy+embedding | Active |
|
|
| hubspot | 60644364838 | NRP Group - FOUNDATION AI Demo | 0.80 | fuzzy+embedding | Active |
|
|
| hubspot | 60355655033 | Safeguard - FOUNDATION Change Orders | 0.80 | fuzzy+embedding | Active |
|
|
| hubspot | 61129221132 | Grote Company - AI Foundation Data Lake | 0.80 | fuzzy+embedding | Active |
|
|
| hubspot | 48886886668 | System4 - FOUNDATION projects | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
48886886668
created_at
2025-11-12 14:59:38.361000+00:00
updated_at
2026-02-04 02:43:06.647000+00:00
archived
No
amount
100000
closedate
2026-05-22 17:43:41.931000+00:00
createdate
2025-11-12 14:59:38.361000+00:00
dealname
System4 - FOUNDATION projects
dealstage
qualifiedtobuy
hs_lastmodifieddate
2026-02-04 02:43:06.647000+00:00
hs_object_id
48886886668
hubspot_owner_id
555004277
pipeline
default
associated_company_id
23437903987
associated_companies_ids
23437903987
associated_contact_id
47146194697
associated_contacts_ids
47146194697
|
|||||||
| hubspot | 49594527138 | Safeguard - FOUNDATION projects | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_hubspot_deals
id
49594527138
created_at
2025-11-18 17:31:02.735000+00:00
updated_at
2026-01-28 11:11:19.297000+00:00
archived
No
amount
300000
closedate
2026-02-27 18:37:59.519000+00:00
createdate
2025-11-18 17:31:02.735000+00:00
dealname
Safeguard - FOUNDATION projects
dealstage
decisionmakerboughtin
hs_lastmodifieddate
2026-01-28 11:11:19.297000+00:00
hs_object_id
49594527138
hubspot_owner_id
555004277
pipeline
default
associated_company_id
40492234608
associated_companies_ids
40492234608
associated_contact_id
23015132827
associated_contacts_ids
23015132827
|
|||||||
| hubspot | 57819603209 | Pathfinder Group Foundation | 0.80 | fuzzy+embedding | Active |
|
|
| linear | 495da1f7-483a-4a28-8e6e-04a8b975b6e0 | Foundation | 1.00 | exact | Active |
|
|
|
Source Record
bronze_linear_projects
id
495da1f7-483a-4a28-8e6e-04a8b975b6e0
name
Foundation
description
—
team_id
—
team_name
—
state
—
created_at
—
updated_at
—
_dlt_meta
—
|
|||||||
| linear | 27d25b12-61e5-4651-8d3e-9a78a94567ad | Foundation Testing | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_linear_projects
id
27d25b12-61e5-4651-8d3e-9a78a94567ad
name
Foundation Testing
description
Issue tracking for items not working correctly in internal Foundation testing
team_id
—
team_name
—
state
—
created_at
—
updated_at
—
_dlt_meta
—
|
|||||||
| moreland_contracts | 86e51630c39e25a42fee132a262808b0 | Foundation | 1.00 | exact | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
86e51630c39e25a42fee132a262808b0
file_name
FOUNDATION_SaaS_Agreement_Safeguard_3_TRUE_INLINE_REDLINE.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BFE1BF3D3-5848-4270-BA96-E32A7D11604E%7D&file=FOUNDATION_SaaS_Agreement_Safeguard_3_TRUE_INLINE_REDLINE.docx&action=default&mobileredirect=true
company
Safeguard Properties Management, LLC
project_name
Foundation Enterprise Tier Subscription
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
3000.0
brief_project_description
Subscription to the Foundation platform, providing access to AI engineering software-as-a-service capabilities.
start_date
2026-01-01
extracted_at
2026-07-02T02:15:07.758653+00:00
raw_text_preview
SAAS SUBSCRIPTION AGREEMENT
THIS SAAS SUBSCRIPTION AGREEMENT (“Agreement”) is entered into as of _________________, 2026 (the “Effective Date”) by and between MORELANDCONNECT, LLC, an Ohio limited liability company with an office at 1960 Case Parkway S, Twinsburg, Ohio (“Moreland”) and Safeguard Properties Management, LLC having a place of business at 7887 Hub Pkwy, Valley View, OH 44125 (“Safeguard”).
WHEREAS, Moreland and Safeguard are parties to that certain Consulting Services Agreement dated September 24, 2024 (the “Consulting Services Agreement”), pursuant to which Moreland provides consulting and professional services to Safeguard; and
WHEREAS, Moreland has developed and operates the FOUNDATION platform (“Foundation” or the “Platform”), a proprietary AI engineering software-as-a-service platform that provides data integration, semantic modeling, conversational AI interfaces, AI-powered workflow automation, and application development capabilities; and
WHEREAS, Safeguard desires to subscribe to the Platform under the Enterprise tier, and Moreland desires to provide such access, on the terms set forth below;
IN CONSIDERATION OF the mutual agreements herein, and for other good and valuable consideration, the receipt and sufficiency of which are hereby acknowledged, Moreland and Safeguard agree as follows:
1. Definitions.
As used in this Agreement, the following terms shall have the meanings set forth below. Capitalized terms used but not defined herein shall have the meanings ascribed to them in the Consulting Services Agreement.
“Authorized Users” means any individual employee, contractor, or agent of Safeguard who is authorized by Safeguard to access and use the Platform.
“Canonical Business API” means the unified application programming interface constructed by the Platform that represents Safeguard’s business data, logic, and integrations as a single, AI-accessible endpoint.
“Catalyst” means an automated workflow or agent within the Platform that executes de
file_created_at
2026-03-02T20:51:04+00:00
file_modified_at
2026-03-02T20:59:12+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 7daf5ea1081a187e9b5116c6ba93d458 | FOUNDATION | 1.00 | exact | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
7daf5ea1081a187e9b5116c6ba93d458
file_name
Re: Foundations.pdf
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Safeguard/Safeguard%20AI%20Strategy/Re%26%23x3a;%20Foundations.pdf
company
Safeguard Properties
project_name
FOUNDATION
contact_person
Michael Greenbaum
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
200000.0
brief_project_description
Development and support of the FOUNDATION Enterprise SaaS release including major capabilities and ongoing maintenance.
start_date
—
extracted_at
2026-07-01T02:19:17.733837+00:00
raw_text_preview
1 of 2Thursday, February 26, 2026 at 9:28:23Thursday, February 26, 2026 at 9:28:23Thursday, February 26, 2026 at 9:28:23Thursday, February 26, 2026 at 9:28:23 AM Eastern Standard TimeAM Eastern Standard TimeAM Eastern Standard TimeAM Eastern Standard TimeSubject:Subject:Subject:Subject:Re: FoundationsDate:Date:Date:Date:Wednesday, February 18, 2026 at 1:40:28 PM Eastern Standard TimeFrom:From:From:From:Paul FrankeTo:To:To:To:Michael Greenbaum, Scott HellerMike, Thanks for calling this out directly. The $25k pilot covered an early version of FOUNDATION plus the specific tool developmentand orchestration we built for the AI Inspection Agent. Those pilot deliverables remain yours and we have already provided that codebase to you. The “license fee” is for the FOUNDATION Enterprise SaaS release going forward — itincludes major capabilities that were not in the pilot (Semantic Data Layer, AI WorkflowBuilder, and the capability to parameterized business-user configurable workflows), plushosting, maintenance, upgrades, and support. You will also receive credit for your earlyinvestment. The Enterprise SaaS version of FOUNDATION for unlimited users, unlimited workflows andunlimited concurrent workflow executions is $12k per month. We are incorporating a creditfor Safeguard and odering this Enterprise version for $0 per month provided our overallbuild services with you continues at about the same pace or $200k per year. If for anyreason you draw down your services with us we are still odering a credit and instead of the$12k per month we are odering Safeguard $3k per month for FOUNDATION Enterprise. FOUNDATION SaaS Tiers StarterStarterStarterStarterProfessionalProfessionalProfessionalProfessionalEnterpriseEnterpriseEnterpriseEnterpriseUsersUp to 10Up to 50UnlimitedModulesData, ChatData, Chat,Workflow BuilderData, Chat,Workflow BuilderSupportEmail,DocumentationPriority, CSMDedicated + SLASaaS odering$3k per month$6k per month$12k per monthSafeguard SaaS $0 or $3k per month To rei
file_created_at
2026-02-26T14:30:05+00:00
file_modified_at
2026-02-26T14:30:02+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | c8f38cc683d7afb4ff094335d27b3dd7 | Foundation | 1.00 | exact | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
c8f38cc683d7afb4ff094335d27b3dd7
file_name
FOUNDATION_SaaS_Agreement_Safeguard_3.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BF7745804-1CB8-4295-B397-EB9F1BDDA0F4%7D&file=FOUNDATION_SaaS_Agreement_Safeguard_3.docx&action=default&mobileredirect=true
company
Safeguard Properties Management, LLC
project_name
Foundation Enterprise Tier Subscription
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
3000.0
brief_project_description
Subscription to the Foundation platform, an AI engineering software-as-a-service platform providing various capabilities.
start_date
2026-01-01
extracted_at
2026-07-01T02:18:41.924594+00:00
raw_text_preview
SAAS SUBSCRIPTION AGREEMENT
THIS SAAS SUBSCRIPTION AGREEMENT (“Agreement”) is entered into as of _________________, 2026 (the “Effective Date”) by and between MORELANDCONNECT, LLC, an Ohio limited liability company with an office at 1960 Case Parkway S, Twinsburg, Ohio (“Moreland”) and Safeguard Properties Management, LLC having a place of business at 7887 Hub Pkwy, Valley View, OH 44125 (“Safeguard”).
WHEREAS, Moreland and Safeguard are parties to that certain Consulting Services Agreement dated September 24, 2024 (the “Consulting Services Agreement”), pursuant to which Moreland provides consulting and professional services to Safeguard; and
WHEREAS, Moreland has developed and operates the FOUNDATION platform (“Foundation” or the “Platform”), a proprietary AI engineering software-as-a-service platform that provides data integration, semantic modeling, conversational AI interfaces, AI-powered workflow automation, and application development capabilities; and
WHEREAS, Safeguard desires to subscribe to the Platform under the Enterprise tier, and Moreland desires to provide such access, on the terms set forth below;
IN CONSIDERATION OF the mutual agreements herein, and for other good and valuable consideration, the receipt and sufficiency of which are hereby acknowledged, Moreland and Safeguard agree as follows:
1. Definitions.
As used in this Agreement, the following terms shall have the meanings set forth below. Capitalized terms used but not defined herein shall have the meanings ascribed to them in the Consulting Services Agreement.
“Authorized Users” means any individual employee, contractor, or agent of Safeguard who is authorized by Safeguard to access and use the Platform.
“Canonical Business API” means the unified application programming interface constructed by the Platform that represents Safeguard’s business data, logic, and integrations as a single, AI-accessible endpoint.
“Catalyst” means an automated workflow or agent within the Platform that executes de
file_created_at
2026-02-26T15:43:16+00:00
file_modified_at
2026-03-10T14:11:09+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 5c502aa5638c8a4bfd76a2e2676cb6c8 | FOUNDATION | 1.00 | exact | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
5c502aa5638c8a4bfd76a2e2676cb6c8
file_name
Re: System4 on FOUNDATION.pdf
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/System4/QBR%20Prep/Re%26%23x3a;%20System4%20on%20FOUNDATION.pdf
company
System4 Facility Services
project_name
FOUNDATION
contact_person
Phil Kubec
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
60000.0
brief_project_description
Implementation of FOUNDATION for automating reports and data management.
start_date
—
extracted_at
2026-07-02T02:19:38.685598+00:00
raw_text_preview
1 of 4Wednesday, May 6, 2026 at 10:36:03Wednesday, May 6, 2026 at 10:36:03Wednesday, May 6, 2026 at 10:36:03Wednesday, May 6, 2026 at 10:36:03 PM Eastern Daylight TimePM Eastern Daylight TimePM Eastern Daylight TimePM Eastern Daylight TimeSubject:Subject:Subject:Subject:Re: System4 on FOUNDATIONDate:Date:Date:Date:Thursday, December 4, 2025 at 5:08:29 PM Eastern Standard TimeFrom:From:From:From:Paul FrankeTo:To:To:To:Phil KubecHi Phil, We really enjoy working with the entire System4 team as well and I appreciate the kind words.I think if you and I put our heads together we can figure something out. Do you have something in mind you would like to shoot for? Regards,Paul Paul Franke PartnerMoreland ConnectM 216-618-0313h9ps://calendly.com/paul-franke-l0q From: From: From: From: Phil Kubec <pkubec@system4.com>Date: Date: Date: Date: Wednesday, December 3, 2025 at 12:49 PMTo: To: To: To: Paul Franke <Paul.Franke@morelandconnect.com>Subject: Subject: Subject: Subject: Re: System4 on FOUNDATIONHi Paul Thanks for the information. We are really appreciative of the relationship we have been developing with Moreland. I am hopeful that that would continue with the AI integration. However the reason we have invested well over $2,000,000 in our proprietary platform was so wecould control the costs long term with out licensing fees. So philosophically the paying of on going fees for your SAAS model really opposes my originalintention for the ownership of our software program. The heartburn is that we would pay $60,000 for code development that can be only used on yourFoundation program with $30 k costs forever per year. I just can't justify that, especially as fast as things are developing and changing in the space.
2 of 4 Not sure if there are any other options. Regards Phil Phillip W KubecPhillip W KubecPhillip W KubecPhillip W KubecPresident/CEOPresident/CEOPresident/CEOPresident/CEOSystem4 Facility ServicesSystem4 Facility ServicesSystem4 Facility ServicesSystem4 Facil
file_created_at
2026-05-07T02:36:13+00:00
file_modified_at
2026-05-07T02:36:09+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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|||||||
| moreland_contracts | 7IZSrJv4BtaBuQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-27T02:02:57.873120+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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|||||||
| moreland_contracts | l46SrIzhGrp47A | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-26T02:07:10.722231+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | zI9XePQSN/dnrw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-06T12:05:18.710852+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | pkSDLWga5U5AwA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-06T00:05:21.199427+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | etlb15xwyoalhA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-06T12:04:50.799823+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | OD507SHRpYbD7w | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-04T06:02:35.503578+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-04T12:05:15.743531+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
|||||||
| moreland_contracts | a1SU9mHsk4hBiQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-04T06:02:41.869634+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | kv1DvMJBkgvnZQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-03T18:04:54.500775+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
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—
|
|||||||
| moreland_contracts | 7aN0ImY0dc6LYA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-26T18:05:17.328237+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
|
|||||||
| moreland_contracts | 1Kn8eHGFNc6rQg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-02T18:04:58.440516+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | Yc+c0FE8pdtP6Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-26T12:05:36.000128+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | TYCwf7a0dNzWsA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-26T06:05:42.133549+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | G7p19nNhxuJA4A | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-25T18:05:51.208285+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | x8ME5410vo1y9Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-24T12:05:13.061778+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
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Paul Franke
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Paul Franke
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—
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bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
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2026-02-25T00:02:12.769953+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-25T06:05:35.329143+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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| moreland_contracts | By7BzNH/U3adGA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (FDE) services.
start_date
—
extracted_at
2026-02-25T06:02:15.562640+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | w2fci4f9gBzVFQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-25T02:05:22.286380+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | rKR/bHc0jVScrQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-24T12:02:10.739219+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | mzG8Ilkc5u1ptA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-23T00:06:04.633192+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | jYVpTL6RdO1new | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-24T02:05:22.870300+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | IBwsZyd8zitC4g | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-21T18:04:41.397373+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | FA/c0UZRjhnRGA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-22T00:04:27.674445+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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created_by
Paul Franke
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Paul Franke
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—
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
total_fee_estimate
—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
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—
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2026-02-21T18:05:11.643590+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
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Paul Franke
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Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-20T06:02:06.255228+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-20T12:04:47.789913+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (FDE) services.
start_date
—
extracted_at
2026-02-20T06:02:10.944685+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-20T12:05:20.085107+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | SuBunWuXis1TRA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-21T00:05:11.150240+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-22T00:04:58.092517+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-21T12:02:09.465003+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | jbBVR7MN9yk5hg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-20T18:02:03.495521+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | m5q9LslGC2P3Gw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-20T18:04:24.176558+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | iCpXDQLeiZKZfg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-19T18:05:32.617314+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | 0Tn6nu3K6P/FhQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-21T00:05:45.866452+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | eRFe1XllvdDeAA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-21T06:02:07.330334+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | msamDvdSqJY4UQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-22T02:02:43.482485+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | c6u2D8P6IlCFtQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-24T02:02:42.609519+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
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Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | zyhB0t6L36GDGw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-23T06:05:40.570813+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | GmyhlwNpRxBMBQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-23T18:02:22.306544+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 6jZb0BLsBJ3GlQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-23T12:04:42.648255+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-24T06:04:43.231373+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | mgIJUxZqPGs/PQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-26T18:02:13.044435+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
|
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| moreland_contracts | kBmYu7X/ObDFXQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
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2026-03-03T06:02:14.840807+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
|||||||
| moreland_contracts | C1ION+mNW2iAPA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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—
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—
total_fee_estimate
—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-03T06:04:46.655864+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | mncJzJl5yHVA3g | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-26T18:04:39.202100+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | ElT/8MQKKqAVHQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-04T18:02:17.965553+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
|
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| moreland_contracts | gn8u9gAx3JXs3g | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-05T12:02:11.060855+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 3XtkB0p2DrFqXA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
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fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-19T21:22:17.378356+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | EUbbo9Ls2lVY0A | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-20T02:02:37.569089+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | sR3+euO//4diDA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-21T02:02:38.891206+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | SH12vTXDPuFCWA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
time_and_materials
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-22T02:02:31.258943+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | /jACQEdiTYgbaw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-24T02:06:04.622722+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | J25j028CK4xHjQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-25T02:06:16.690578+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 1yGQXx6IUhwfJg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-28T02:06:37.309152+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | uhBrnzmdsas4UA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-30T02:02:58.981665+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | ZVrB1yL5tqr9Lg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-01T02:02:58.874500+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | dTiVituLzbhHKg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-07T02:02:34.165525+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | eCfYbl4hXIhoFQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-08T02:02:47.825388+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-09T02:04:59.940102+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
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Paul Franke
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Paul Franke
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—
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Source Record
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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—
estimated_hours
—
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—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-04-08T02:06:13.572523+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-08T02:02:41.477881+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-06T02:02:49.216337+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | Otg3w0XuvSgGZQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-06T02:02:43.664037+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
modified_by
Jeff Kavlick
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-04-05T02:05:49.337742+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | D+x6JWVLaQV6JA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-05T02:02:41.721113+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | i0cP5Fpytd1k4w | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-03T02:05:12.545734+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | +vSjpO98nvCjGw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-03T02:02:32.960575+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-02T02:06:11.480050+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-02T02:05:35.206201+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | dZEhfGGYMJ1c2w | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-31T02:05:54.060406+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | boyg0VguzJmW7g | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-31T02:02:53.697084+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | bQyXCdZi5Z+aUA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-30T02:06:26.148464+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | c0m850JdyoiuPg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-28T02:02:47.590217+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | qxnRG4ncz+tzaw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-28T02:02:41.221091+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 7VlQyWJtIjM8KA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-26T02:06:32.006263+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | VWhWwJqWlLjuCw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
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hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-25T02:03:11.896278+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | H6qhnkqhzAIoxA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-21T02:05:31.543470+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | /pTZcSB9gIKo3w | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-19T15:13:50.381338+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | SpOIJWqZwurY0A | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-06T12:02:16.230792+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | kCAHj8gzuJ4wvw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-06T00:02:24.432633+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | wFCnqh8zcXXreQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-06T06:04:31.705394+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | m0anCgQRoRKfyQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-05T00:04:16.083355+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | JUTJFnyC3OLEVQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-05T12:05:02.232429+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | 6ILScPTHPaPGgg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
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MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-04T02:02:56.320833+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | Gx5HQYRjtav/8Q | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-04T06:05:26.608056+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | e65lLuFcqUUpJw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-02T17:47:58.406421+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 8E3xgSlgkuDYmA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-02T17:45:47.019291+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 8p4MIBfOpUq2qQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-04T00:04:45.841784+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | D6bPpp6ml/TExQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-04T12:02:13.719817+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | Up885dYI7AhXMg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-05T00:01:59.713566+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | QmdHjUjjvRQPAA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-04T00:05:24.277953+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | Jm5toeL5IaPx0Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_name
FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-03T00:04:49.458415+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | gyrHKQJh6QKz6g | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-03T00:04:16.848408+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | pvucbPKgDw2G8A | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
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—
total_fee_estimate
—
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service and Forward Deployed Engineering services to embed FOUNDATION AI into Customer’s operations.
start_date
—
extracted_at
2026-03-02T17:45:37.324198+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 7I2ACvhVYpJ72A | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-02T18:04:24.378912+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | OrFr9tFlkTQ5jQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-26T12:02:18.053722+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | urf6cKXLUgvsNQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-26T00:04:49.550068+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 9ICuR2Fazf1nJg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-26T00:02:19.814451+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | G2CaAufbAWyimw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-26T06:05:06.958233+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 3l/jf4wAHT2opQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-24T12:04:41.471122+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | bhZ1SJiCOmpb9Q | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-26T00:02:13.487763+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | Drf4s7rvy4MCvg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
time_and_materials
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-24T18:02:18.242627+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | XG2nRBBg3VUKWg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
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MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-25T12:02:16.134287+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | arB1g1SyXh8xNw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-23T12:05:13.553262+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | p3VnGiJfqTx3nA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-23T18:05:19.989118+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | YAP6RnkdZRFBvQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-23T02:05:08.729580+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | Lp4o7n49y7CbSw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-23T18:05:56.696901+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | njO4kuiwGUN/TA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-25T18:02:16.733591+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 1lZxHmAdJ/SvrQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-24T18:05:06.389058+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 2ZRMBXNf/ivzag | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-24T18:02:13.498705+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | gu/dY8zzC6jPeg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-23T02:02:42.052489+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | dpK8eHO7e3vlvQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-24T00:04:28.423124+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | Re+NJkc/KUtoCw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-23T06:06:17.744896+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | iztb9s65eda/jw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-22T02:05:29.280274+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | vlfu3ELzyF4ulQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-19T06:04:59.776487+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | AqclV5knnmw/NA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-19T06:02:04.225495+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | G7fULN8ZutwAmw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-20T00:04:15.216744+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
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hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-21T02:02:44.019860+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | lW+2C5OHw/1SIA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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fixed_fee
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-21T12:05:11.045510+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | UpSlm1h/odEpNA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-21T18:02:19.337095+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | EfD4xiiTneadvQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-22T12:05:09.351760+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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|||||||
| moreland_contracts | DNu2mUEzQPvGXw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-19T12:05:46.019435+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | hU2EYtyC/LBkKw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-20T00:02:01.318846+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | fIWjarerVvuyQw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-20T00:04:45.147562+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | zsPrcdt6AwYlpg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-21T00:02:30.124169+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | qbvNuVYEVH3GTQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-21T06:02:12.859182+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | vzo/NYgdYHHx7A | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-24T02:06:00.584704+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | dzDUz4J+OEsZww | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-24T00:02:07.067903+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 1SYUNy8C99AIjg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-24T00:02:12.268602+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | PLs1aN+0H3dmJg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-23T06:02:33.055438+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-25T06:04:51.965936+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
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Paul Franke
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Paul Franke
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Source Record
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-25T12:02:10.335892+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
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—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
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2026-03-02T17:45:43.714412+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-02T17:48:48.450812+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-04T12:02:19.107480+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-05T18:02:16.967124+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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FOUNDATION SaaS Agreement.docx
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
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—
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2026-03-05T00:04:41.828993+00:00
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
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Paul Franke
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Paul Franke
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—
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
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—
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brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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—
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2026-03-05T06:02:10.368962+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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FOUNDATION AI Platform & Enablement Agreement
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—
extracted_at
2026-03-05T02:02:51.014978+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
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—
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—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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2026-03-05T12:02:16.030891+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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Source Record
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
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—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
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2026-03-19T21:18:56.385952+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
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2026-03-19T21:19:00.646905+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-20T02:05:15.020179+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-20T02:05:50.409481+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (FDE) services.
start_date
—
extracted_at
2026-03-20T02:02:43.847485+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | J17LJ0L2SVqPTA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-22T02:02:26.908860+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 5e5BcF9ywn8B4A | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-29T02:05:18.648136+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | xK4x95no2CXpnQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
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—
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—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-29T02:02:40.057781+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-29T02:02:35.340067+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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fixed_fee
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-03-29T02:05:50.161382+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | BWGfuyOBMV0b7Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-06T02:06:03.813788+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | oXLnaoLUWbacmw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-06T02:05:29.407894+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-07T02:02:39.586059+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
_dlt_meta
—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-09T02:02:34.636322+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | Ti2eWZJqCqW38w | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-10T02:06:22.985120+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | LgT8n+bh9ZHg7Q | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-10T02:05:43.684484+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 8JzZLvQ2THB7ag | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
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MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
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hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-05T02:02:46.562392+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-04T02:05:45.231737+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
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—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-04-03T02:05:50.110913+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-02T02:02:37.924666+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
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fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
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—
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2026-04-01T02:07:07.081771+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | n/gZsq8vnL+Yag | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-03-30T02:07:01.455040+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | lNxsqUgpgSnwwQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-27T02:05:53.955668+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | pZmtaJwI6uY8jw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-26T02:03:04.259969+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | AXeFsrs+kt0aZA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-22T02:05:02.434045+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | 03HXOz7xxc/sNw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
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—
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—
brief_project_description
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (FDE) services.
start_date
—
extracted_at
2026-03-06T06:02:12.104297+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
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2026-03-06T00:04:50.724760+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
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Paul Franke
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Paul Franke
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—
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
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—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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—
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2026-03-06T02:02:45.439866+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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|||||||
| moreland_contracts | 82I/h3xCwwHbgQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-06T02:05:31.871071+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-05T02:02:46.383865+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | WUJVMuAK/cs+IA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-04T00:02:17.459719+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | RBvuBmr2vtRV6g | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-04T02:02:48.603342+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
_dlt_meta
—
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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fixed_fee
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—
estimated_hours
—
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—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-03-03T18:05:39.758061+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | gAKaPGmCsbPeNg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-03-04T06:06:09.189390+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | V3C/wJqzO6RiXg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-03T12:03:38.884605+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | ns/1TCM3Vo+GQg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
file_path
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-04T18:05:09.753137+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
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fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-04T18:05:43.611703+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | GjHK78DaRYW0Sg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-26T18:02:17.662391+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | aQRLv175uQJfRw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-03T02:05:09.893308+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | Z1rxSzhawj7o8Q | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-03T06:04:17.777817+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | Yzt6UHx6hXy3Ug | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-26T02:05:01.490186+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
_dlt_meta
—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-26T06:02:29.623708+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-26T02:05:33.447589+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | ZSPBGl2CWJ+UWA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
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hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-25T02:02:43.691259+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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| moreland_contracts | tUiVIvSSdAye1w | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-02-24T18:05:38.434126+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 75CeTi5nlsM6EQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-02-25T00:04:58.997041+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 4d64K7FU2sWHoQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-25T00:04:26.070157+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
|||||||
| moreland_contracts | pj6LM/UmL9LqKQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-24T06:02:13.070195+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | EbSxYrIRgmsh3w | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-24T02:02:37.186490+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | UvOhjdqYD0F6Wg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-25T12:05:14.726389+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | nDtNydpnOyj+gA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-25T12:04:42.680396+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | tOZ6unV7OomaoA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-21T12:02:04.358457+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 86RR2Ku6TZE97Q | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-22T02:04:58.255182+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
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fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-21T06:05:17.833481+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | NyP5GxXfW7JRrA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-21T12:04:38.860790+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 01GIOggtwVPPRg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-21T02:05:12.436863+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | IbFsuRXLtOsH6A | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-22T02:02:37.709919+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-19T03:10:58.452764+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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Source Record
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-19T06:02:08.803716+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | jISZcNrOG9aUvA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-19T03:08:50.021414+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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Source Record
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
contract_type
fixed_fee
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access to and use of the FOUNDATION AI Platform and related enablement services.
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—
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2026-02-20T12:02:06.453694+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 5kvZDcRQbuSpng | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
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file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
contact_person
—
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—
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—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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—
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2026-02-22T00:02:06.657533+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | XvoYwmLJ2FUnng | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-21T02:05:44.880954+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | EzCQ6m0LpdgdVg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-22T06:04:14.083213+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | sbdIxjsnZ4vPDQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-22T12:02:13.322085+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | dcXKY1HAgyvMxg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-20T02:05:30.509229+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | eMHhHXgAjn7DuQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-20T18:02:08.699340+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | kcXuglaeoIQwkg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-19T18:02:12.080024+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | iqeKaHwAYaMfgQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-20T06:05:14.014213+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | JoWXlSt/qZL33g | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-20T18:04:53.967381+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | wRprsseUImyI+w | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-22T06:02:07.265528+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-21T06:04:40.236864+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-23T00:02:20.837613+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | VkP5Y7umqNQZUA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-23T02:02:37.091796+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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| moreland_contracts | CLJKb2apJfYkXw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-24T12:02:15.653206+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | ZRqr5qQiEnf39Q | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-25T06:02:09.229077+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | rRbTAorP67JKyw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Governance of Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-03T12:01:59.371597+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | IH3DFtPua4HWNA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-02T18:02:15.851114+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-05T00:02:03.574749+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | laOCfyLxQnqRNw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-06T06:05:00.251294+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-19T15:16:42.920526+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | Az/gIfLVZL91rA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-19T21:21:42.280856+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | uFNjPZxodF1xhA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-19T15:17:19.221831+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | WBRT0mMFNS/BoA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-23T02:02:33.887248+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | BwRSiIxsdJdvXw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-24T02:02:36.889124+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | TPh9YGMQWQbvZA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-24T02:05:31.451378+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | +CGMnx5jSxjK+w | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-25T02:06:55.208220+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | mBOjHdqehNSK3g | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-25T02:03:01.162512+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | Xjwa+MJ7kMqyRw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-07T02:05:48.498202+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
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Paul Franke
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
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2026-04-07T02:06:31.820944+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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Paul Franke
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Paul Franke
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
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—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
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—
extracted_at
2026-04-09T02:05:32.476992+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
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Paul Franke
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Paul Franke
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—
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
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—
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fixed_fee
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-10T02:02:47.494766+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
estimated_hours
—
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—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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—
extracted_at
2026-04-11T02:02:27.330315+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-04-11T02:05:32.837849+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
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Paul Franke
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Paul Franke
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—
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| moreland_contracts | J19a1UGFgM8DZA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-11T02:05:01.450280+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-11T02:02:22.292108+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
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Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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2026-03-05T18:02:22.301254+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-08T21:05:34.917606+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-04T02:02:31.441518+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | anFB5vqM8Ly6lA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-31T02:02:47.740027+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | zgzy6vbZEXPFqA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-31T02:06:28.557239+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | mhEFCvbpLwEpRg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-30T02:02:53.465105+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | QnztpK3GN6aFSA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-27T02:02:51.751424+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 0EEuXmtQ0kgy6w | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
time_and_materials
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-26T02:03:10.250065+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | uTMFLqjYkT1aFQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-21T02:06:11.918103+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | gI7OVjAM5YReTQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-06T02:02:40.489928+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | f9JNffrovxw4jw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
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Source Record
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
time_and_materials
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-06T12:02:24.066044+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-06T06:02:05.963767+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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—
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| moreland_contracts | dPjzP3WJh4ZW1A | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-06T02:04:59.943849+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | PCPE0Km0WgQR0Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-05T02:05:37.028845+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | WvSHWcVn2aqNuw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-05T12:05:45.947210+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | SEXsx0PNmUf3NA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-04T00:02:22.810383+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 4JGpQsD9OmsIbQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-03T18:02:26.806430+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | yJuYWlMljYJQ3w | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-04T12:04:42.817279+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | RVRCiklIPgD1wg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-04T02:05:19.880784+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | bAtAr3b6NDnCvA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-04T02:05:53.569276+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-03T12:04:04.091535+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | FjDO5ipqpyxj1g | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-03T02:02:55.840757+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | r8Xuw0FUAZQ5/g | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-02T17:48:15.209163+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | m/0AlD1UvuYoQg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-26T12:04:58.648842+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 2wh5tiPwrlicxA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-26T06:02:21.210131+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | eqkk7+IqwZpKhQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-26T02:02:38.204137+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 3PnInEnAC+173w | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-25T18:05:07.675291+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | D8CNXZ9U7B8EAQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-26T00:05:25.638102+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | vq0KlUMjcs5uOA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-26T02:02:43.382893+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | 5DK6cQdShnzADg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-25T02:04:52.467949+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | gn35+Ffm7GAnnA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-23T06:02:24.342075+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | aszaTuK0Cm8UXw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-24T06:05:14.875310+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | dw/H5rpEpJPelg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-23T00:05:28.157457+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | vNMKp+8tCcYIUA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-24T00:05:00.880710+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | IJjY9h9xzIO+YA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-23T02:05:41.409417+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | lUyUcTOWBxbi+g | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-22T12:02:07.798385+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | FmKatcLOAffDRw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-19T12:02:11.648965+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | dBPJ2To++0MNSg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-19T03:09:21.479924+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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Source Record
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-19T03:11:28.958667+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | s84Nhj6Ew4blBA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-19T03:08:27.859150+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | isj5nkATdb+puQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-02-19T03:05:21.406452+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | kiEJeA3LODn75w | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-19T18:04:55.933859+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | ZojizFqJnbtrXg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-02-21T02:02:38.511771+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 27dlFGb4swwrRQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-02-22T06:04:41.950129+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | x8Pbz/gijIfjCw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-22T12:04:39.395360+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | ov3H4iA+e4FXYQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-02-19T12:05:13.629826+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | eB4lpjJwV88y7A | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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Orazen Extrusion Polymers
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AI Foundation, Manufacturing Intelligence and Employee Onboarding
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Mike
contract_type
fixed_fee
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—
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—
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52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
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—
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2026-02-20T06:04:38.458583+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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[Customer Legal Name]
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FOUNDATION AI Platform and Forward Deployed Engineering services
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—
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10000.0
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Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
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2026-02-20T02:02:41.023517+00:00
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FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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Customer’s access to and use of the FOUNDATION AI Platform and related enablement services, including Forward Deployed Engineering services.
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FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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2026-02-20T00:02:05.930247+00:00
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FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
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2026-02-20T02:06:10.709061+00:00
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
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Customer will not (and will not permit any third party to):
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(b) circumvent Platform security or acc
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Paul Franke
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
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—
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—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
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—
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2026-02-23T12:02:20.535727+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
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1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
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1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
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Jeff Kavlick
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FOUNDATION AI Platform & Enablement Agreement
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2026-03-03T00:02:21.662808+00:00
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FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
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1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
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2026-03-03T02:05:46.348780+00:00
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
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1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
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Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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Paul Franke
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-02T17:45:52.895877+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | Z7vT8DJjoAKSog | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-03T00:02:16.164850+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | qzkMm3u/xWEsYw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-05T06:04:39.435939+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | GzbtzAZoJcKIzA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-05T02:05:06.499201+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | IOC3MDXsTO50PQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-05T06:05:10.622219+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | +v1Ec1wnAVvQQQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-05T06:02:05.613041+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | W8ijKwvJNOjT6Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-22T02:05:35.330925+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 9Oa596/l+lJO5g | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-03-21T02:02:32.909145+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | 4mo+2HBHkFAeqQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-23T02:06:03.771753+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | XO4LhCTOyZyfAA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-23T02:05:31.011511+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | xl8cVWZpRKQROw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-23T02:02:40.327514+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | Bu2w5Z8yRecBOw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-03-24T02:02:43.054214+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | /yLQtM2dHEX/fw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-08T21:08:03.189013+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | r8unVmqvCzdmmQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-10T02:02:42.579913+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 0doolmdoX+Re5A | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-08T21:08:36.612404+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | PdAD1x5anDY8tg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-08T21:05:29.787862+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | UrkxOBvPojAy4A | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-08T02:05:36.179679+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 826SyXKZpO19wA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-05T02:05:16.769416+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | Dcb84YOuW/RneA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-04T02:02:37.914438+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-04T02:06:31.406537+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-03T02:02:26.714673+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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FOUNDATION AI Platform and Enablement Agreement.docx
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company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
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2026-04-02T02:02:43.027613+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | VrIG3mfgLj8u+g | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-01T02:06:22.923676+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | CetvIaLRT79igg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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630bda89186b974a9326390803502d1e
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FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-01T02:02:51.831386+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | YzdezvogePMRVQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-03-28T02:05:56.464845+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | YnUz+aP6endwgQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-03-27T02:06:28.476027+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | KWFsMB2+A4r8iQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
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file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-12T02:02:18.550872+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | ivSXVZNm3e0rfw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
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2026-04-12T02:04:30.479513+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
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2025-09-05T18:50:02+00:00
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[Customer Legal Name]
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FOUNDATION AI Platform and Forward Deployed Engineering services
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10000.0
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Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
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2026-04-12T02:02:14.844327+00:00
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FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
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In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
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FOUNDATION AI Enablement Platform
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This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
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1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
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2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
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FOUNDATION AI Enablement Platform
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
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1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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2026-04-13T02:05:53.597548+00:00
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
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[Customer Legal Name]
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FOUNDATION AI Platform and Forward Deployed Engineering services
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10000.0
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2026-04-13T02:02:28.136370+00:00
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FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
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FOUNDATION AI Platform & Enablement Agreement
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2026-04-13T02:02:32.533529+00:00
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FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
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2026-04-13T02:05:13.444630+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
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Paul Franke
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Paul Franke
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FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
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Paul Franke
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—
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bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-14T02:02:48.789084+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | aYTJi76Ke7bMgQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-14T02:05:23.705103+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | VLua/xlLODtgUw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-14T02:02:44.270854+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | JOHmEmroawSI/w | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-15T02:02:36.945113+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | Z8wHDGDuROCF4Q | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-15T02:05:50.198448+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | JH+CpEW/ktZh0A | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-15T02:05:19.493948+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | X2myjA4Zb941yg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-23T02:02:43.628417+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | XQaQujMbTDHVjw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-16T02:02:42.769411+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | gWL68UiAXMyTng | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-16T02:02:38.324535+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | MRhpjbsUylY2KA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
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Orazen Extrusion Polymers
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AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-16T02:05:18.499767+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
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2025-09-09T16:56:11+00:00
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Paul Franke
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Paul Franke
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FOUNDATION SaaS Agreement.docx
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[Customer Legal Name]
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FOUNDATION AI Enablement Platform
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—
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—
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—
total_fee_estimate
—
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Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
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2026-04-16T02:05:53.402006+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
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2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
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Paul Franke
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Paul Franke
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Source Record
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
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—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
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2026-04-17T02:02:38.689965+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
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Jeff Kavlick
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Jeff Kavlick
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—
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Source Record
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FOUNDATION SaaS Agreement.docx
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company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-17T02:05:37.038887+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-17T02:05:01.740121+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | D5ot6t8ihtHZTQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-23T02:05:23.072821+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
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Paul Franke
_dlt_meta
—
|
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Source Record
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
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company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-18T02:05:11.311354+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
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Paul Franke
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Paul Franke
_dlt_meta
—
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Source Record
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FOUNDATION AI Commercial Terms Cover Sheet.docx
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[Customer Legal Name]
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FOUNDATION AI Platform and Forward Deployed Engineering services
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—
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—
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—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-18T02:02:29.645031+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
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Jeff Kavlick
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Source Record
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FOUNDATION AI Platform and Enablement Agreement.docx
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MorelandConnect, LLC
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FOUNDATION AI Platform & Enablement Agreement
contact_person
—
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—
estimated_hours
—
total_fee_estimate
—
brief_project_description
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (FDE) services.
start_date
—
extracted_at
2026-04-18T02:02:34.439900+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | Boc/k4SK/Xb6tw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
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FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-18T02:05:44.618363+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
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| moreland_contracts | jevFLZ4yav+HBA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-19T02:04:35.137997+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | wRSPPq2PLDGB+w | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-19T02:02:33.384238+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | VmATM73B2sPVtg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-19T02:02:28.345684+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | XDYFans1HTgSKA | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-19T02:05:09.239540+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | Ph9QXAWgEbcQeg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-23T02:02:38.883022+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | wKP6yE3vr2Bu1g | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-20T02:05:18.693333+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | vXOR5jUbFhmCzw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-20T02:02:38.096811+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | VZhJoGWqv5wYDw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-20T02:05:59.457411+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | u34R+jlWNgJI+A | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
time_and_materials
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services, including Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-20T02:02:42.826844+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | unSay/VUZhy/Bw | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-21T02:05:32.159433+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | 2UV2y3qF71jmrw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-21T02:04:54.595533+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | tca8hH+7glk9Ig | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-21T02:02:33.047149+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | JGWKPlRpowhn+g | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-21T02:02:27.012760+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | t2Kyq4MJjBGb0Q | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-22T02:03:07.884124+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | rD12p0vUUHWskw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-22T02:03:12.928345+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | fZzYddS4oTmm+w | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-22T02:06:14.395591+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | MkUryPVf5CBm8w | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-22T02:06:44.878001+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | 39zdrFRIsn8zpQ | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-24T02:02:47.621842+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
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| moreland_contracts | YD2ymU/hfFx2Fg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-24T02:05:18.857194+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
|||||||
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-24T02:05:57.577862+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | JGcEi/EeprlSLA | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-24T02:02:42.668915+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | UFPM8AHImHnPxw | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-25T02:02:47.124430+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | xhl1RSEQV90tWg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-25T02:06:13.449197+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 6PoWPBvq/T4/IA | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-25T02:02:51.744365+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | c17n5/3Pj/nAFA | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-25T02:05:27.268798+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | yV9XTW99O8ypqQ | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-09T02:02:29.373691+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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| moreland_contracts | UIjphECMZLqzXg | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
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FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-26T02:05:46.717476+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
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2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | MrknwxG/udpyLg | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-09T13:56:29.966349+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
|
|||||||
| moreland_contracts | jxFKU3zCwD1HKg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
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40b282930bed5aba0565f4130036c2f4
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Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-09T13:58:54.926548+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
|
|||||||
| moreland_contracts | qwGMFKRUWK3k8A | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-26T02:02:34.404927+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 58T/aazC6NeszQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-09T13:59:25.859752+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | zViqdzfQ9csOlw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-26T02:05:03.893499+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | GzCv0kpdKQ6H/A | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-27T02:06:08.048430+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | OBWcGC/s2hU1Sw | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-27T02:02:50.665740+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | jF8NX5bqxU3Sjw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-27T02:05:25.872685+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 9EG/nRXnmvIWMQ | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-28T02:05:57.429819+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
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FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (FDE) services.
start_date
—
extracted_at
2026-04-28T02:02:57.871705+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
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2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-28T02:06:56.867242+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-28T02:02:50.957466+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | FakGCRJs/S798A | Dashboard Productization and AI Foundation Build | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
4e5c04b233901c839b8bfe418c39aa36
file_name
Park Nuclear - Working Roadmap v1.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B24A8ED2F-1BCC-445B-8CC6-673AEBF95FED%7D&file=Park%20Nuclear%20-%20Working%20Roadmap%20v1.docx&action=default&mobileredirect=true
company
Park Nuclear
project_name
Dashboard Productization and AI Foundation Build
contact_person
Christian Gregory
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Create a practical working roadmap to transition from a dashboard proof of concept to a market-ready product while building the necessary data and knowledge foundation for AI enablement.
start_date
—
extracted_at
2026-04-29T02:05:20.408037+00:00
raw_text_preview
Park Nuclear - Working Roadmap v1
Dashboard Productization and AI Foundation Build
Introduction
This document is intended to translate the early findings into a practical working roadmap for the next stage of the effort.
The objective is to provide a clear path for how Park can move from a promising dashboard proof of concept toward a market-ready product, while also building the underlying data and knowledge foundation required for broader AI enablement over time.
At this stage, the most useful roadmap is one that does two things well:
identifies the work that can begin immediately with confidence
makes visible the areas that require structured design decisions as the effort advances
This creates a practical path forward without forcing false precision too early.
For that reason, the roadmap is organized around three types of movement:
Immediate actions — work that can begin now
Structured design work — decisions that require working sessions and review before they are finalized
Ongoing capture activities — efforts that should begin in parallel because later phases will depend on them
The working premise underneath this roadmap is straightforward:
Use the dashboard effort to create near-term product value, while building the data and knowledge structure required for more meaningful AI capabilities over time.
Roadmap Structure
Phase 1
Product Definition and Market-Ready Dashboard Development
Purpose
Turn the dashboard from an early proof of concept into a clearly defined product with customer value, commercial logic, and a realistic build path that covers initial application, infrastructure, security, and other architectural requirements.
What Phase 1 should produce
a clearer product definition
agreed customer use cases (client interviews)
an MVP scope (client interviews)
a commercial posture
options for product financial models
a platform/build and support recommendation
an initial delivery plan for a customer-facing version
Workstream 1.1 — Product Strategy and Us
file_created_at
2026-04-28T13:43:11+00:00
file_modified_at
2026-04-28T13:43:10+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | 2cim2HIfvyxmOw | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-29T02:05:17.887444+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | K5EX5mv007tEMQ | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-29T02:06:01.507151+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
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https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-29T02:02:42.646491+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-29T02:02:38.539676+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-04-30T02:02:56.000928+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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| moreland_contracts | ko2GYXaFYJff8A | Dashboard Productization and AI Foundation Build | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
4e5c04b233901c839b8bfe418c39aa36
file_name
Park Nuclear - Working Roadmap v1.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B24A8ED2F-1BCC-445B-8CC6-673AEBF95FED%7D&file=Park%20Nuclear%20-%20Working%20Roadmap%20v1.docx&action=default&mobileredirect=true
company
Park Nuclear
project_name
Dashboard Productization and AI Foundation Build
contact_person
Christian Gregory
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
The project aims to create a practical working roadmap to transition from a dashboard proof of concept to a market-ready product while building the necessary data and knowledge foundation for AI enablement.
start_date
—
extracted_at
2026-04-30T02:05:38.754909+00:00
raw_text_preview
Park Nuclear - Working Roadmap v1
Dashboard Productization and AI Foundation Build
Introduction
This document is intended to translate the early findings into a practical working roadmap for the next stage of the effort.
The objective is to provide a clear path for how Park can move from a promising dashboard proof of concept toward a market-ready product, while also building the underlying data and knowledge foundation required for broader AI enablement over time.
At this stage, the most useful roadmap is one that does two things well:
identifies the work that can begin immediately with confidence
makes visible the areas that require structured design decisions as the effort advances
This creates a practical path forward without forcing false precision too early.
For that reason, the roadmap is organized around three types of movement:
Immediate actions — work that can begin now
Structured design work — decisions that require working sessions and review before they are finalized
Ongoing capture activities — efforts that should begin in parallel because later phases will depend on them
The working premise underneath this roadmap is straightforward:
Use the dashboard effort to create near-term product value, while building the data and knowledge structure required for more meaningful AI capabilities over time.
Roadmap Structure
Phase 1
Product Definition and Market-Ready Dashboard Development
Purpose
Turn the dashboard from an early proof of concept into a clearly defined product with customer value, commercial logic, and a realistic build path that covers initial application, infrastructure, security, and other architectural requirements.
What Phase 1 should produce
a clearer product definition
agreed customer use cases (client interviews)
an MVP scope (client interviews)
a commercial posture
options for product financial models
a platform/build and support recommendation
an initial delivery plan for a customer-facing version
Workstream 1.1 — Product Strategy and Us
file_created_at
2026-04-28T13:43:11+00:00
file_modified_at
2026-04-28T13:43:10+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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| moreland_contracts | hadpIOpQXUO7dg | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
10000.0
brief_project_description
Provision of FOUNDATION AI Platform as a hosted SaaS service along with Forward Deployed Engineering services.
start_date
—
extracted_at
2026-04-30T02:02:51.076034+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
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| moreland_contracts | OXOVuDkfcQX9eg | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Assisting Orazen with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-04-30T02:05:35.732155+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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Source Record
bronze_moreland_contracts_ma_project_contracts
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9f4c8f0367706b86d45391b272a8c7f0
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FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-04-30T02:06:20.504701+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
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| moreland_contracts | b38c432047427b4cb33334f26e7a74c9 | FOUNDATION AI Platform & Enablement Agreement | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b38c432047427b4cb33334f26e7a74c9
file_name
FOUNDATION AI Platform and Enablement Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B15AD95D6-1E07-41A3-961C-9403B532CBCC%7D&file=FOUNDATION%20AI%20Platform%20and%20Enablement%20Agreement.docx&action=default&mobileredirect=true
company
MorelandConnect, LLC
project_name
FOUNDATION AI Platform & Enablement Agreement
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer’s access to and use of the FOUNDATION AI Platform and related enablement services.
start_date
—
extracted_at
2026-07-01T02:06:53.854295+00:00
raw_text_preview
FOUNDATION AI
Platform & Enablement Agreement
This FOUNDATION AI Platform & Enablement Agreement (“Agreement”) is entered into as of the Effective Date set forth in the applicable Order Form, by and between MorelandConnect, LLC, an Ohio limited liability corporation (“Provider”), and the customer identified in the applicable Order Form (“Customer”). Provider and Customer may be referred to individually as a “Party” and collectively as the “Parties.”
This Agreement governs Customer’s access to and use of the FOUNDATION AI Platform and any related enablement services, including Forward Deployed Engineering (“FDE”) services, and incorporates any Order Forms and Exhibits executed by the Parties.
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, agents, workflows, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Order Form” means a mutually executed ordering document that specifies subscription tier, fees, term, usage limits, add-ons, and any elected services.
1.3 “Documentation” means Provider’s then-current user guides, technical documentation, and published policies for the Platform.
1.4 “Customer Data” means all data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, CRM, email, telephony, web, or other systems).
1.5 “Users” means Customer’s employees and contractors authorized to access the Platform.
1.6 “FDE Services” means Provider’s enablement and professional services delivered by Forward Deployed Engineers, including onboarding, data configuration, integrations, workflow design, use-case development, training, and operationalization of the Platform.
1.7 “Confidential Information” means non-public information disclosed by a Party that is designated as confidential or that reasonably should be understood to be confidential given the n
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 40b282930bed5aba0565f4130036c2f4 | AI Foundation, Manufacturing Intelligence and Employee Onboarding | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
40b282930bed5aba0565f4130036c2f4
file_name
Orazen AI Foundation - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BCEA8B5EC-34B8-4FB8-B309-29BEFF5B9832%7D&file=Orazen%20AI%20Foundation%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Orazen Extrusion Polymers
project_name
AI Foundation, Manufacturing Intelligence and Employee Onboarding
contact_person
Mike
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
52000.0
brief_project_description
Development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding.
start_date
—
extracted_at
2026-06-25T02:08:36.816905+00:00
raw_text_preview
Sep 09, 2025
Re: AI Foundation, Manufacturing Intelligence and Employee Onboarding
Dear Mike:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Orazen Extrusion Polymers (“Orazen”) with the development of an AI Foundation with an initial text chat interface for Production Variance Identification and Analysis and Employee onboarding. The foundation will also be extensible in the future for use cases such as Die Print Search, Quality Control.
1. Project Overview
Orazen Extruded Polymers, a leader in custom polymer extrusion, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce manual effort in identifying manufacturing production variances and root causes, streamline new employee onboarding with HR document accessibility, and establish a foundation for future expansion into advanced engineering support.
This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured and unstructured data search, and conversational AI.
2. Goals & Objectives
Manufacturing Intelligence:
Rapidly surface insights into production runs, variances, and potential causes from machine logs, operator notes, and production reports.
HR & Onboarding Efficiency:
Provide a chatbot interface where employees can ask questions about policies, benefits, and procedures, with answers grounded in official HR documents.
Future Engineering Support:
Extend solution in Phase 2 to make die design prints and related engineering knowledge easily searchable and comparable for process improvement.
Scalable AI Foundation:
Establish a platform that integrates Orazen’s proprietary data sources while ensuring usability, reliability, and data security.
3. Project Scope (Design to MVP)
In Scope (MVP Deliverables)
Discovery & Design Wo
file_created_at
2025-09-05T18:50:02+00:00
file_modified_at
2025-09-09T16:56:11+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 9f4c8f0367706b86d45391b272a8c7f0 | FOUNDATION AI Enablement Platform | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
9f4c8f0367706b86d45391b272a8c7f0
file_name
FOUNDATION SaaS Agreement.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B398C75E2-5503-49AC-9E4A-A3132C4285FF%7D&file=FOUNDATION%20SaaS%20Agreement.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Enablement Platform
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Access and use of the FOUNDATION AI Enablement Platform for internal business purposes.
start_date
—
extracted_at
2026-07-01T02:10:38.865697+00:00
raw_text_preview
FOUNDATION Platform SaaS License Agreement (Template)
This SaaS License Agreement (the “Agreement”) is entered into as of [Effective Date] by and between Moreland Connect, Inc. (“Provider”) and [Customer Legal Name] (“Customer”). Provider and Customer may be referred to collectively as the “Parties.”
1. Definitions
1.1 “Platform” means Provider’s FOUNDATION AI Enablement Platform, including its user interface, APIs, orchestration, semantic layer, data governance features, and connectors, as made available by Provider as a hosted service.
1.2 “Tool Call” means a discrete invocation of a Platform action (e.g., workflow execution, agent action, connector transaction, or API-triggered operation) that consumes a metered unit as defined in the applicable Order Form.
1.3 “Order Form” means a mutually executed ordering document that specifies subscription tier, Tool Call limits, fees, term, and any add-ons.
1.4 “Documentation” means Provider’s user guides, technical documentation, and policies for the Platform.
1.5 “Customer Data” means data submitted to or processed by the Platform on Customer’s behalf, including data accessed via Customer-authorized connectors (e.g., ERP, email, web, etc.).
Action Industries Proposal
1.6 “Service Level Agreement” or “SLA” means the uptime and support commitments in Section 6 and Exhibit A.
2. Subscription; License Grant
2.1 Subscription Access. Subject to Customer’s payment of Fees and compliance with this Agreement, Provider grants Customer a non-exclusive, non-transferable right during the Subscription Term to access and use the Platform for Customer’s internal business purposes.
2.2 Users. Customer may authorize employees and contractors as users, subject to any user limits set forth in the Order Form. Customer is responsible for all activity under its accounts.
3. Use Restrictions
Customer will not (and will not permit any third party to):
(a) reverse engineer or attempt to derive source code;
(b) circumvent Platform security or acc
file_created_at
2026-01-20T17:07:04+00:00
file_modified_at
2026-01-22T15:27:59+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 4e5c04b233901c839b8bfe418c39aa36 | Dashboard Productization and AI Foundation Build | 0.80 | fuzzy+embedding | Active |
|
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
4e5c04b233901c839b8bfe418c39aa36
file_name
Park Nuclear - Working Roadmap v1.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B24A8ED2F-1BCC-445B-8CC6-673AEBF95FED%7D&file=Park%20Nuclear%20-%20Working%20Roadmap%20v1.docx&action=default&mobileredirect=true
company
Park Nuclear
project_name
Dashboard Productization and AI Foundation Build
contact_person
Christian Gregory
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
The project aims to create a practical working roadmap to transition from a dashboard proof of concept to a market-ready product while building the necessary data and knowledge foundation for AI enablement.
start_date
—
extracted_at
2026-06-15T02:09:32.449366+00:00
raw_text_preview
Park Nuclear - Working Roadmap v1
Dashboard Productization and AI Foundation Build
Introduction
This document is intended to translate the early findings into a practical working roadmap for the next stage of the effort.
The objective is to provide a clear path for how Park can move from a promising dashboard proof of concept toward a market-ready product, while also building the underlying data and knowledge foundation required for broader AI enablement over time.
At this stage, the most useful roadmap is one that does two things well:
identifies the work that can begin immediately with confidence
makes visible the areas that require structured design decisions as the effort advances
This creates a practical path forward without forcing false precision too early.
For that reason, the roadmap is organized around three types of movement:
Immediate actions — work that can begin now
Structured design work — decisions that require working sessions and review before they are finalized
Ongoing capture activities — efforts that should begin in parallel because later phases will depend on them
The working premise underneath this roadmap is straightforward:
Use the dashboard effort to create near-term product value, while building the data and knowledge structure required for more meaningful AI capabilities over time.
Roadmap Structure
Phase 1
Product Definition and Market-Ready Dashboard Development
Purpose
Turn the dashboard from an early proof of concept into a clearly defined product with customer value, commercial logic, and a realistic build path that covers initial application, infrastructure, security, and other architectural requirements.
What Phase 1 should produce
a clearer product definition
agreed customer use cases (client interviews)
an MVP scope (client interviews)
a commercial posture
options for product financial models
a platform/build and support recommendation
an initial delivery plan for a customer-facing version
Workstream 1.1 — Product Strategy and Us
file_created_at
2026-04-28T13:43:11+00:00
file_modified_at
2026-04-28T13:43:10+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
|
|||||||
| moreland_contracts | 630bda89186b974a9326390803502d1e | FOUNDATION AI Platform and Forward Deployed Engineering services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
630bda89186b974a9326390803502d1e
file_name
FOUNDATION AI Commercial Terms Cover Sheet.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BD693F605-C412-4496-8E5A-5743125D763A%7D&file=FOUNDATION%20AI%20Commercial%20Terms%20Cover%20Sheet.docx&action=default&mobileredirect=true
company
[Customer Legal Name]
project_name
FOUNDATION AI Platform and Forward Deployed Engineering services
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Customer's use of the FOUNDATION AI Platform and related Forward Deployed Engineering services.
start_date
—
extracted_at
2026-07-01T02:06:49.297271+00:00
raw_text_preview
FOUNDATION AI
Commercial Terms Cover Sheet
(Non-Binding Summary of Key Business Terms)
This Commercial Terms Cover Sheet summarizes the principal commercial terms for Customer’s use of the FOUNDATION AI Platform and related Forward Deployed Engineering (“FDE”) services. This document is for convenience and reference only. It is non-binding and is governed by, and subject to, the definitive FOUNDATION AI Platform & Enablement Agreement and applicable Order Form(s).
1. Parties
Provider: MorelandConnect, LLC (“Moreland”)
Customer: [Customer Legal Name]
2. Platform Subscription
The Platform is provided as a hosted SaaS service and continuously evolves as new modules, tools, and capabilities are released.
3. Forward Deployed Engineering (FDE)
FDE services are enablement-oriented and designed to embed FOUNDATION AI into Customer’s real-world operations.
4. Platform Waiver Mechanic (Blended Model)
For any calendar month in which Customer is invoiced and pays at least $10,000 in FDE fees, then The Platform Subscription Fee for that same month is waived (or credited in full).
This allows Customers who are actively engaging FDE resources at scale to receive the FOUNDATION AI Platform at no additional subscription cost for that month.
5. Usage-Based Charges (Variable)
In addition to the Platform Subscription and any FDE services, Customer may incur variable, usage-based charges, which may include:
AI processing (e.g., LLM tokens or “AI Units”)
Telephony minutes and carrier pass-through costs
Third-party API or data-provider charges
Other metered Platform resources
Usage-based charges reflect actual consumption and third-party costs and are separate from the Platform Subscription Fee.
6. Payment Terms
7. Support & Availability
8. Legal Framework
All services are governed exclusively by:
FOUNDATION AI Platform & Enablement Agreement and the applicable Order Form(s)
In the event of any conflict, the Agreement and Order Form control over this Cover Sheet.
Accepted
file_created_at
2026-02-05T20:48:43+00:00
file_modified_at
2026-02-05T20:48:43+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
1ef575f5772105b115ae0c49fd2587ea
file_name
FOUNDATION_SaaS_Agreement_Safeguard_3_REDLINE_3-2-26.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B0EEB0853-007C-4785-8220-C61552E16F65%7D&file=FOUNDATION_SaaS_Agreement_Safeguard_3_REDLINE_3-2-26.docx&action=default&mobileredirect=true
company
Safeguard Properties Management, LLC
project_name
Foundation Enterprise Tier Subscription
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
3000.0
brief_project_description
Subscription to the Foundation platform, an AI engineering software-as-a-service platform providing various capabilities.
start_date
2026-01-01
extracted_at
2026-07-01T02:18:44.016703+00:00
raw_text_preview
SAAS SUBSCRIPTION AGREEMENT
THIS SAAS SUBSCRIPTION AGREEMENT (“Agreement”) is entered into as of _________________, 2026 (the “Effective Date”) by and between MORELANDCONNECT, LLC, an Ohio limited liability company with an office at 1960 Case Parkway S, Twinsburg, Ohio (“Moreland”) and Safeguard Properties Management, LLC having a place of business at 7887 Hub Pkwy, Valley View, OH 44125 (“Safeguard”).
WHEREAS, Moreland and Safeguard are parties to that certain Consulting Services Agreement dated September 24, 2024 (the “Consulting Services Agreement”), pursuant to which Moreland provides consulting and professional services to Safeguard; and
WHEREAS, Moreland has developed and operates the FOUNDATION platform (“Foundation” or the “Platform”), a proprietary AI engineering software-as-a-service platform that provides data integration, semantic modeling, conversational AI interfaces, AI-powered workflow automation, and application development capabilities; and
WHEREAS, Safeguard desires to subscribe to the Platform under the Enterprise tier, and Moreland desires to provide such access, on the terms set forth below;
IN CONSIDERATION OF the mutual agreements herein, and for other good and valuable consideration, the receipt and sufficiency of which are hereby acknowledged, Moreland and Safeguard agree as follows:
1. Definitions.
As used in this Agreement, the following terms shall have the meanings set forth below. Capitalized terms used but not defined herein shall have the meanings ascribed to them in the Consulting Services Agreement.
“Authorized Users” means any individual employee, contractor, or agent of Safeguard who is authorized by Safeguard to access and use the Platform.
“Canonical Business API” means the unified application programming interface constructed by the Platform that represents Safeguard’s business data, logic, and integrations as a single, AI-accessible endpoint.
“Catalyst” means an automated workflow or agent within the Platform that executes de
file_created_at
2026-03-10T14:12:44+00:00
file_modified_at
2026-03-10T14:12:37+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
c944e4ebaade970f5ad5f80af7d92aa0
file_name
FOUNDATION_SaaS_Agreement_Safeguard_3_REDLINE_3-2-26.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7B93299225-3D8D-4E27-BBED-44C28EE81A28%7D&file=FOUNDATION_SaaS_Agreement_Safeguard_3_REDLINE_3-2-26.docx&action=default&mobileredirect=true
company
Safeguard Properties Management, LLC
project_name
Foundation
contact_person
—
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
3000.0
brief_project_description
Subscription to the Foundation platform, an AI engineering software-as-a-service platform providing data integration and automation capabilities.
start_date
2026-01-01
extracted_at
2026-06-16T02:24:56.550605+00:00
raw_text_preview
SAAS SUBSCRIPTION AGREEMENT
THIS SAAS SUBSCRIPTION AGREEMENT (“Agreement”) is entered into as of _________________, 2026 (the “Effective Date”) by and between MORELANDCONNECT, LLC, an Ohio limited liability company with an office at 1960 Case Parkway S, Twinsburg, Ohio (“Moreland”) and Safeguard Properties Management, LLC having a place of business at 7887 Hub Pkwy, Valley View, OH 44125 (“Safeguard”).
WHEREAS, Moreland and Safeguard are parties to that certain Consulting Services Agreement dated September 24, 2024 (the “Consulting Services Agreement”), pursuant to which Moreland provides consulting and professional services to Safeguard; and
WHEREAS, Moreland has developed and operates the FOUNDATION platform (“Foundation” or the “Platform”), a proprietary AI engineering software-as-a-service platform that provides data integration, semantic modeling, conversational AI interfaces, AI-powered workflow automation, and application development capabilities; and
WHEREAS, Safeguard desires to subscribe to the Platform under the Enterprise tier, and Moreland desires to provide such access, on the terms set forth below;
IN CONSIDERATION OF the mutual agreements herein, and for other good and valuable consideration, the receipt and sufficiency of which are hereby acknowledged, Moreland and Safeguard agree as follows:
1. Definitions.
As used in this Agreement, the following terms shall have the meanings set forth below. Capitalized terms used but not defined herein shall have the meanings ascribed to them in the Consulting Services Agreement.
“Authorized Users” means any individual employee, contractor, or agent of Safeguard who is authorized by Safeguard to access and use the Platform.
“Canonical Business API” means the unified application programming interface constructed by the Platform that represents Safeguard’s business data, logic, and integrations as a single, AI-accessible endpoint.
“Catalyst” means an automated workflow or agent within the Platform that executes de
file_created_at
2026-03-10T16:03:50+00:00
file_modified_at
2026-03-10T15:45:25+00:00
created_by
Paul Franke
modified_by
Paul Franke
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—
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
55d834f36c4a71975d7d29b796050f48
file_name
System4-Foundation-Proposal-Revised.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BE78F45AF-81AD-4739-9443-FC52225EEDB5%7D&file=System4-Foundation-Proposal-Revised.docx&action=default&mobileredirect=true
company
System4 Facility Services
project_name
Foundation Phase 1
contact_person
Phil Kubec
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
42000.0
brief_project_description
Phase 1 delivers a unified search and chat interface for data queries across multiple tenants, including features like cross-tenant service agreement search, revenue reporting, proposals and leads search, and QR Code Feedback Analytics.
start_date
2026-05-07
extracted_at
2026-07-01T02:22:36.597679+00:00
raw_text_preview
System4 + MorelandConnect
Foundation Phase 1 — Revised Proposal
Prepared for: Phil Kubec, President/CEO, System4 Facility Services
Prepared by: Paul Franke & David Boone, MorelandConnect
Date: May 7, 2026
Supersedes: Phase 1 outline of November 12, 2025
Why this proposal is different from November
Six months ago, our Phase 1 estimate was a build-it-from-scratch number because that’s what it was — Foundation, our data and AI platform, was still being assembled. The use case roadmap we shared (Tier 1–3) priced each use case at $10K/week of forward-deployed engineering because we’d be putting most of it together for the first time on your data.
Since then, partners across three other verticals have funded Foundation’s core engineering:
Property preservation — end-to-end AI inspection workflows, vendor automation, image-driven task creation, audit trails
Insurance / RIA — semantic data layer over Postgres + HubSpot, role-based access controls for regulated data
Jewelry retail — Microsoft Copilot integration, audited transaction patterns, multi-environment deployment
Foundation is now a real platform, not a roadmap. System4 would be its first partner in facility services and franchise management — a vertical we don’t yet serve. That earns a one-time Vertical Pioneer arrangement, described below.
This is not a discount on the platform. The platform is more valuable today than it was in November. It’s a discount on your implementation, in exchange for letting us define the facility-services playbook with you.
Vertical Pioneer Arrangement
Available only to the first Foundation partner in a vertical we haven’t entered. This is a one-time category that does not extend to subsequent System4 competitors who join later.
What System4 gives:
Reference customer status — a published case study and the ability to reference System4 in our facility-services sales motion
Roadmap input on facility-services-specific Foundation features
Faster decision cycles during implementation (no mo
file_created_at
2026-05-07T14:38:16+00:00
file_modified_at
2026-05-07T14:38:15+00:00
created_by
Paul Franke
modified_by
Paul Franke
_dlt_meta
—
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| moreland_contracts | e269aed907a07cf3d184d37fc5814bde | Tua Financial Fractional CTO and IT Foundation Services | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
e269aed907a07cf3d184d37fc5814bde
file_name
Tua Financial - Moreland Arrangement Letter - Fractional CTO.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BEEAA86F0-80CD-4C58-9450-A2A25FD65A3F%7D&file=Tua%20Financial%20-%20Moreland%20Arrangement%20Letter%20-%20Fractional%20CTO.docx&action=default&mobileredirect=true
company
Tua Financial Technologies Holdings, Inc.
project_name
Tua Financial Fractional CTO and IT Foundation Services
contact_person
Kris Osborn
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Consulting services to assist Tua with fractional Chief Technology Officer leadership and foundational IT workstreams.
start_date
2026-06-01
extracted_at
2026-06-30T02:18:11.659650+00:00
raw_text_preview
May 26, 2026
Barry Trexler
Chief Executive Officer
Tua Financial Technologies Holdings, Inc.
1489 W Warm Springs Rd Ste 110
Henderson, NV 89017
Re: Tua Financial Fractional CTO and IT Foundation Services
Dear Barry:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the “Services”) to assist Tua Financial Technologies Holdings, Inc. (“Tua”) with fractional Chief Technology Officer leadership and the foundational information technology workstreams described below (the “Project”).
Background
Tua operates an embedded financial services platform, Tuatech, that pairs consumer financing through TuaPay with commercial financing throughTuaCommercial. Distribution runs through deep integration with major payment gateways, anchored by a long-standing relationship with Global Payments, and is supplemented by direct sales partnerships across healthcare, home services, auto services, dental, and retail verticals. Tua’s merchant base has scaled to approximately 1,500 active merchants and is targeted to reach 12,000 over the next thirty months, with consumer loan origination volume projected to reach $240 million annually by mid-2027.
Two near-term milestones frame the urgency of strengthening Tua’s technology foundation. First, the targeted five-year contract with Global Payments is expected to close by September 2026 and depends on completing the Tua’s comprehensive platform that provides an embedded financial solutions platform for merchants (“EFPM”) into the Global Payments platform. This includes Tua’s proprietary consumer loan origination system (“TuaTech”). Second, Tua is targeting cash-flow-positive operations by the first quarter of 2027, which requires disciplined cost control, automation across reconciliation and reporting, and a security and compliance posture aligned with sponsor-bank requirements. You have framed 2026 as Tua’s scale year and the leadership team is operating against a
file_created_at
2026-05-26T15:05:22+00:00
file_modified_at
2026-06-02T15:18:51+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | b1e58ba091da74b977072280b0c26e88 | Tua Financial Fractional CTO and IT Foundation Services | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
b1e58ba091da74b977072280b0c26e88
file_name
Tua Financial - Moreland Arrangement Letter - Fractional CTO.pdf
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Tua%20Financial/Signed%20Agreements/Tua%20Financial%20-%20Moreland%20Arrangement%20Letter%20-%20Fractional%20CTO.pdf
company
Tua Financial Technologies Holdings, Inc.
project_name
Tua Financial Fractional CTO and IT Foundation Services
contact_person
Kris Osborn
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
brief_project_description
Providing fractional Chief Technology Officer leadership and foundational IT governance, security, and operational workstreams to support Tua's business objectives through 2026 and 2027.
start_date
2026-06-01
extracted_at
2026-07-02T02:20:09.764544+00:00
raw_text_preview
1960 CASE PARKWAY S
TWINSBURG , OHIO 44087
May 26, 2026
Barry Trexler
Chief Executive Officer
Tua Financial Technologies Holdings, Inc.
1489 W Warm Springs Rd Ste 110
Henderson, NV 89017
Re: Tua Financial Fractional CTO and IT Foundation Services
Dear Barry:
MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter
(“Agreement”) confirming our consulting services (the “Services”) to assist Tua Financial
Technologies Holdings, Inc. (“Tua”) with fractional Chief Technology Officer leadership
and the foundational information technology workstreams described below (the
“Project”).
Background
Tua operates an embedded financial services platform, Tuatech, that pairs consumer
financing through TuaPay with commercial financing through TuaCommercial .
Distribution runs through deep integration with major payment gateways, anchored by a
long-standing relationship with Global Payments, and is supplemented by direct sales
partnerships across healthcare, home services, auto services, dental, and retail ve rticals.
Tua’s merchant base has scaled to approximately 1,500 active merchants and is targeted
to rea ch 12,000 over the next thirty months, with consumer loan origination volume
projected to reach $240 million annually by mid -2027.
Two near -term milestones frame the urgency of strengthening Tua’s technology
foundation. First, the targeted five -year contract with Global Payments is expected to
close by September 2026 and depends on completing the Tua’s comprehensive platform
that provides an embedded financial solutions platform for merchants (“ EFPM ”) into the
Global Payments platform. This includes Tua’s proprietary consumer loan origination
system (“TuaTech”). Second, Tua is targeting cash -flow-positive operations by the first
quart er of 2027, which requires disciplined cost control, automation across reconciliation
and reporting, and a security and compliance posture aligned with sponsor
file_created_at
2026-06-02T20:38:28+00:00
file_modified_at
2026-06-02T20:38:28+00:00
created_by
Jeff Kavlick
modified_by
Jeff Kavlick
_dlt_meta
—
|
|||||||
| moreland_contracts | 485a1b306b8c5f95700a7f92cab42a4e | Foundation for AI Order Entry | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
485a1b306b8c5f95700a7f92cab42a4e
file_name
ROE Dental Lab proposal (1).pdf
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/ROE%20Dental/ROE%20Dental%20Lab%20proposal%20(1).pdf
company
ROE Dental Lab
project_name
Foundation for AI Order Entry
contact_person
MorelandConnect
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
75000.0
brief_project_description
Design and implement ROE’s instance of Foundation – a production AI and data platform that ingests RXs from various workflows and normalizes them into a single case record linked to Labtrac.
start_date
—
extracted_at
2026-07-01T02:10:14.350521+00:00
raw_text_preview
1960 CASE PARKWAY S
TWINSBURG , OHIO 44087
ROE Dental Lab – Foundation for AI Order Entry
Partner: MorelandConnect
At a Glance
• Phase 1 – Foundation & Paper RX: 8–12 weeks, $50k –$75k (one-time)
• Phase 2 – Multi -Workflow Automation: 8–12 weeks, $75k –$100k (one-time, refined after P1)
• Foundation Subscription: $30,000 per year (or $2,500 per month )
Objective
Design and implement ROE’s instance of Foundation – a production AI and data platform
that:
• Ingests RXs from all three workflows: third -party digital RX (PDF), Roe Portal RX (PNG +
attachments), and paper RX (scans and phone photos).
• Normalizes them into a single case record linked to Labtrac.
• Extracts and recommends core order -entry fields (doctor, patient, dates, case type,
products/materials) with defined accuracy targets.
• Provides the platform for future work on implants, production steps, and quality analytics
without re -architecting later.
Phase 1 – Core Foundation & Paper RX Automation
Goal (definition of done)
By the end of Phase 1, ROE has a live Foundation environment where paper RXs can be:
1. Captured (scan or photo) and attached to a case in Foundation.
2. Automatically parsed into structured fields (doctor, patient, dates, case type).
3. Reviewed and corrected in a web UI with role -based access.
4. Written into Labtrac (or a staging DB that feeds Labtrac) for at least one agreed order -
entry flow.
What we will build
• Workflow and data model
– Document current third -party, portal and paper RX workflows.
– Define a canonical case schema in Foundation (case ID, links to RX images, STLs, photos,
Labtrac records).
1960 CASE PARKWAY S
TWINSBURG , OHIO 44087
• Paper RX capture standard
– Minimum resolution and framing rules for scans/photos.
– Simple SOP for remote techs and internal staff.
• AI extraction pipeline for paper RX
– OCR + vision pipeline tuned on ROE samples to ext
file_created_at
2026-06-10T19:21:04+00:00
file_modified_at
2026-06-10T19:21:04+00:00
created_by
Christofer Karltorp
modified_by
Christofer Karltorp
_dlt_meta
—
|
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| moreland_contracts | e88a553da6cb6c4ab77a95bdd27974db | Foundation for AI Order Entry | 0.80 | fuzzy+embedding | Active |
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Source Record
bronze_moreland_contracts_ma_project_contracts
file_hash
e88a553da6cb6c4ab77a95bdd27974db
file_name
ROE Dental Lab proposal.pdf
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/ROE%20Dental/ROE%20Dental%20Lab%20proposal.pdf
company
ROE Dental Lab
project_name
Foundation for AI Order Entry
contact_person
MorelandConnect
contract_type
fixed_fee
hourly_rate
—
estimated_hours
—
total_fee_estimate
75000.0
brief_project_description
Design and implement ROE’s instance of Foundation – a production AI and data platform that ingests RXs from various workflows and normalizes them into a single case record linked to Labtrac.
start_date
—
extracted_at
2026-07-01T02:10:17.191569+00:00
raw_text_preview
1960 CASE PARKWAY S
TWINSBURG , OHIO 44087
ROE Dental Lab – Foundation for AI Order Entry
Partner: MorelandConnect
At a Glance
• Phase 1 – Foundation & Paper RX: 8–12 weeks, $50k –$75k (one-time)
• Phase 2 – Multi -Workflow Automation: 8–12 weeks, $75k –$100k (one-time, refined after P1)
• Foundation Subscription: $30,000 per year (or $2,500 per month )
Objective
Design and implement ROE’s instance of Foundation – a production AI and data platform
that:
• Ingests RXs from all three workflows: third -party digital RX (PDF), Roe Portal RX (PNG +
attachments), and paper RX (scans and phone photos).
• Normalizes them into a single case record linked to Labtrac.
• Extracts and recommends core order -entry fields (doctor, patient, dates, case type,
products/materials) with defined accuracy targets.
• Provides the platform for future work on implants, production steps, and quality analytics
without re -architecting later.
Phase 1 – Core Foundation & Paper RX Automation
Goal (definition of done)
By the end of Phase 1, ROE has a live Foundation environment where paper RXs can be:
1. Captured (scan or photo) and attached to a case in Foundation.
2. Automatically parsed into structured fields (doctor, patient, dates, case type).
3. Reviewed and corrected in a web UI with role -based access.
4. Written into Labtrac (or a staging DB that feeds Labtrac) for at least one agreed order -
entry flow.
What we will build
• Workflow and data model
– Document current third -party, portal and paper RX workflows.
– Define a canonical case schema in Foundation (case ID, links to RX images, STLs, photos,
Labtrac records).
1960 CASE PARKWAY S
TWINSBURG , OHIO 44087
• Paper RX capture standard
– Minimum resolution and framing rules for scans/photos.
– Simple SOP for remote techs and internal staff.
• AI extraction pipeline for paper RX
– OCR + vision pipeline tuned on ROE samples to ext
file_created_at
2026-06-10T19:21:05+00:00
file_modified_at
2026-06-10T19:21:05+00:00
created_by
Christofer Karltorp
modified_by
Christofer Karltorp
_dlt_meta
—
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|
|
| moreland_dashboard | JdaZnIDg3RxG/w | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | SL7gl/ge0ZSVGw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | Go+r7E9tQfdOWg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | qS3KBYB9HyKmhA | Safeguard Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | AG3ICJE+Nf0HuQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | +4drM1t2bXrCLA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | d02eJ4yUFUkQkg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | Action Door Foundation Project [1000 h] | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_dashboard_md_timetoqb
toggl
Action Door Foundation Project [1000 h]
quickbooks
Action Door
sg_a_spread
True
project_type
Build
billing_type
FF
squad
—
qa_partner
—
project_manager
—
lead_dev
—
|
|||||||
| moreland_dashboard | SDC - Foundation Implementation | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_dashboard_md_timetoqb
toggl
SDC - Foundation Implementation
quickbooks
SDC Automation
sg_a_spread
True
project_type
Build
billing_type
FF
squad
—
qa_partner
—
project_manager
—
lead_dev
—
|
|||||||
| moreland_dashboard | ktdJOULFHQXvUg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 8BUdJ6HPGwD/Nw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 2SvAwYgPO31FgA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | jHWmiSQFZzVFpA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 2FH5rJNbooNnPg | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | mj+EduhX3pD2/w | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | DlvEon1pT3ijzA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | EpuwQh3RCpavVg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 2gvl003Sxoajug | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | B6vkyy09fg3AGQ | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 3D/RH1qid9YA8w | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | QYIurolGeR9mfQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | ssSFivLOdMw8Rw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 7pQUm3RaR4crRw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | iygYmoMbm9lnWQ | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | i0VUz0xM0Q4GHg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | JKiRqePnUqmD8Q | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | E3+pIkpWctz5Pw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | 1Zs4COkXTe4GxA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | qr7tX7c6fgy/gg | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | COjFyRn3Br5cfQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | HqXbaIo9K1Wk7Q | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard | Cp8YXG+X/yfhpg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | zhZ0lX1k3EmWPQ | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 2Kkl2r+/Xl3DVw | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 0HoeWj8UxKFNlw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | ErlAiTN/I3oxwQ | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | dNObjzNhYSE8KQ | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 9qa2qcAKNKw0Ng | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | h5EVIx6Ge7XR4Q | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | jTjOydM8Lg1wJQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | VaeE/G+8LI+M3A | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | GA3HSkiJg2c7Nw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | viWE2j3JqKzhVA | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | LXd030PMprN3OA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | Hzx95VR0TQDr8Q | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | i8aXhh1PaMQr2A | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | P6ZZMOOulCd9OA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 4Ubu9ZR7+vKLGQ | Safeguard Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | AGWlwArBPGEM2w | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | SWRJMj/4EL6iFA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | bXUXxA8XjIhF7A | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 4ErxIBBEHE9oVw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | nwngQQT5c0eVQA | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 0hNBno3PB6IqCA | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | J15Q1T3nkkLcIw | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | PW+JoL4p8e2XUQ | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | OxiqY3WRdCiz3Q | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | n1XlDY2zV7TloA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | NPX42aRMtOLXSg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | qToj8n/ED1+T5Q | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | bvUc+jDzoVJm1g | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | laRsCKjr6RMAqA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | System4 Foundation Projects Retainer [400 h] | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_dashboard_md_demand
client
System4
project
System4 Foundation Projects Retainer [400 h]
demand
—
squad
—
contract
400
burned
0.0
remaining
400.0
status
Complete
start_date
2025-12-01 00:00:00+00:00
end_date
—
_09_29_10_05
—
_10_06_10_12
—
_10_13_10_19
—
_10_20_10_26
—
_10_27_11_02
—
_11_03_11_09
—
_11_10_11_16
—
_11_17_11_23
—
_11_24_11_30
—
_12_01_12_07
—
_12_08_12_14
—
_12_15_12_21
—
_12_22_12_28
—
_12_29_01_04
—
_01_05_01_11
—
_01_12_01_18
—
_01_19_01_25
—
_01_26_02_01
—
_02_16_02_22
—
_02_23_03_01
—
_02_02_02_08
—
_02_09_02_15
—
_03_02_03_08
—
_03_09_03_15
—
_03_16_03_22
—
_03_23_03_29
—
_12_30_01_05
—
_01_06_01_12
—
_01_13_01_19
—
_01_20_01_26
—
_01_27_02_02
—
_02_03_02_09
—
_02_10_02_16
—
_02_17_02_23
—
_02_24_03_02
—
_03_03_03_09
—
_03_10_03_16
—
_03_17_03_23
—
_03_24_03_30
—
_03_31_04_06
—
_04_07_04_13
—
_04_14_04_20
—
_04_21_04_27
—
_04_28_05_04
—
_05_05_05_11
—
_05_12_05_18
—
_05_19_05_25
—
_05_26_06_01
—
_06_02_06_08
—
_06_09_06_15
—
_06_16_06_22
—
_06_23_06_29
—
_06_30_07_06
—
_07_07_07_13
—
_07_14_07_20
—
_07_21_07_27
—
_07_28_08_03
—
_08_04_08_10
—
_08_11_08_17
—
_08_18_08_24
—
_08_25_08_31
—
_09_01_09_07
—
_09_08_09_14
—
_09_15_09_21
—
_09_22_09_28
—
nan
—
nan_1
—
nan_2
—
nan_3
—
nan_4
—
nan_5
—
type
—
_03_30_04_05
—
_04_06_04_12
—
_04_13_04_19
—
_04_20_04_26
—
_04_27_05_03
—
_05_04_05_10
—
_05_11_05_17
—
_05_18_05_24
—
_05_25_05_31
—
_06_01_06_07
—
_06_08_06_14
—
_06_15_06_21
—
_06_22_06_28
—
_06_29_07_05
—
_07_06_07_12
—
_07_13_07_19
—
_07_20_07_26
—
_07_27_08_02
—
_08_03_08_09
—
_08_10_08_16
—
_08_17_08_23
—
_08_24_08_30
—
_08_31_09_06
—
_09_07_09_13
—
_09_14_09_20
—
_09_21_09_27
—
_09_28_10_04
—
_10_05_10_11
—
_10_12_10_18
—
_10_19_10_25
—
_10_26_11_01
—
_11_02_11_08
—
_11_09_11_15
—
_11_16_11_22
—
_11_23_11_29
—
_11_30_12_06
—
_12_07_12_13
—
_12_14_12_20
—
_12_21_12_27
—
_12_28_01_03
—
_06_01_06_07__v_double
—
_06_08_06_14__v_double
—
_06_15_06_21__v_double
—
_06_22_06_28__v_double
—
|
|||||||
| moreland_dashboard_demand | 2ddDEenEu6O+aw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | VssPPE0vFjxr1Q | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | bObPOQf/jmJc9g | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | bBjvJcdRDXkE6Q | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | /q9wzJsEqkow2Q | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 4CN6F6DSadEnYw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | Q1YnZiSNu8xrYA | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | O+uPt+0SefysMQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | yRG59viXVzgvow | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | wyDj8t7KeI8JdQ | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | lvHUPR8JLYEg2g | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | iSKA8O/YRkoTCA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | General Pipe - Foundation Build | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_dashboard_md_demand
client
General Pipe
project
General Pipe - Foundation Build
demand
—
squad
Firestarter
contract
400
burned
0.0
remaining
400.0
status
Pipeline
start_date
2026-04-01 00:00:00+00:00
end_date
2026-06-01 00:00:00+00:00
_09_29_10_05
—
_10_06_10_12
—
_10_13_10_19
—
_10_20_10_26
—
_10_27_11_02
—
_11_03_11_09
—
_11_10_11_16
—
_11_17_11_23
—
_11_24_11_30
—
_12_01_12_07
—
_12_08_12_14
—
_12_15_12_21
—
_12_22_12_28
—
_12_29_01_04
—
_01_05_01_11
—
_01_12_01_18
—
_01_19_01_25
—
_01_26_02_01
—
_02_16_02_22
—
_02_23_03_01
—
_02_02_02_08
—
_02_09_02_15
—
_03_02_03_08
—
_03_09_03_15
—
_03_16_03_22
—
_03_23_03_29
—
_12_30_01_05
—
_01_06_01_12
—
_01_13_01_19
—
_01_20_01_26
—
_01_27_02_02
—
_02_03_02_09
—
_02_10_02_16
—
_02_17_02_23
—
_02_24_03_02
—
_03_03_03_09
—
_03_10_03_16
—
_03_17_03_23
—
_03_24_03_30
—
_03_31_04_06
—
_04_07_04_13
—
_04_14_04_20
—
_04_21_04_27
—
_04_28_05_04
—
_05_05_05_11
—
_05_12_05_18
—
_05_19_05_25
—
_05_26_06_01
—
_06_02_06_08
—
_06_09_06_15
—
_06_16_06_22
—
_06_23_06_29
—
_06_30_07_06
—
_07_07_07_13
—
_07_14_07_20
—
_07_21_07_27
—
_07_28_08_03
—
_08_04_08_10
—
_08_11_08_17
—
_08_18_08_24
—
_08_25_08_31
—
_09_01_09_07
—
_09_08_09_14
—
_09_15_09_21
—
_09_22_09_28
—
nan
—
nan_1
—
nan_2
—
nan_3
—
nan_4
—
nan_5
—
type
Foundation.AI
_03_30_04_05
40
_04_06_04_12
40
_04_13_04_19
40
_04_20_04_26
40
_04_27_05_03
40
_05_04_05_10
40
_05_11_05_17
40
_05_18_05_24
40
_05_25_05_31
40
_06_01_06_07
40
_06_08_06_14
—
_06_15_06_21
—
_06_22_06_28
—
_06_29_07_05
—
_07_06_07_12
—
_07_13_07_19
—
_07_20_07_26
—
_07_27_08_02
—
_08_03_08_09
—
_08_10_08_16
—
_08_17_08_23
—
_08_24_08_30
—
_08_31_09_06
—
_09_07_09_13
—
_09_14_09_20
—
_09_21_09_27
—
_09_28_10_04
—
_10_05_10_11
—
_10_12_10_18
—
_10_19_10_25
—
_10_26_11_01
—
_11_02_11_08
—
_11_09_11_15
—
_11_16_11_22
—
_11_23_11_29
—
_11_30_12_06
—
_12_07_12_13
—
_12_14_12_20
—
_12_21_12_27
—
_12_28_01_03
—
_06_01_06_07__v_double
—
_06_08_06_14__v_double
—
_06_15_06_21__v_double
—
_06_22_06_28__v_double
—
|
|||||||
| moreland_dashboard_demand | SDC - Foundation Implementation | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_dashboard_md_demand
client
SDC Automation
project
SDC - Foundation Implementation
demand
—
squad
Firestarter
contract
1000
burned
0.0
remaining
1000.0
status
Complete
start_date
2026-05-01 00:00:00+00:00
end_date
2026-12-01 00:00:00+00:00
_09_29_10_05
—
_10_06_10_12
—
_10_13_10_19
—
_10_20_10_26
—
_10_27_11_02
—
_11_03_11_09
—
_11_10_11_16
—
_11_17_11_23
—
_11_24_11_30
—
_12_01_12_07
—
_12_08_12_14
—
_12_15_12_21
—
_12_22_12_28
—
_12_29_01_04
—
_01_05_01_11
—
_01_12_01_18
—
_01_19_01_25
—
_01_26_02_01
—
_02_16_02_22
—
_02_23_03_01
—
_02_02_02_08
—
_02_09_02_15
—
_03_02_03_08
—
_03_09_03_15
—
_03_16_03_22
—
_03_23_03_29
—
_12_30_01_05
—
_01_06_01_12
—
_01_13_01_19
—
_01_20_01_26
—
_01_27_02_02
—
_02_03_02_09
—
_02_10_02_16
—
_02_17_02_23
—
_02_24_03_02
—
_03_03_03_09
—
_03_10_03_16
—
_03_17_03_23
—
_03_24_03_30
—
_03_31_04_06
—
_04_07_04_13
—
_04_14_04_20
—
_04_21_04_27
—
_04_28_05_04
—
_05_05_05_11
—
_05_12_05_18
—
_05_19_05_25
—
_05_26_06_01
—
_06_02_06_08
—
_06_09_06_15
—
_06_16_06_22
—
_06_23_06_29
—
_06_30_07_06
—
_07_07_07_13
—
_07_14_07_20
—
_07_21_07_27
—
_07_28_08_03
—
_08_04_08_10
—
_08_11_08_17
—
_08_18_08_24
—
_08_25_08_31
—
_09_01_09_07
—
_09_08_09_14
—
_09_15_09_21
—
_09_22_09_28
—
nan
—
nan_1
—
nan_2
—
nan_3
—
nan_4
—
nan_5
—
type
Foundation.AI
_03_30_04_05
—
_04_06_04_12
—
_04_13_04_19
—
_04_20_04_26
—
_04_27_05_03
40
_05_04_05_10
40
_05_11_05_17
40
_05_18_05_24
40
_05_25_05_31
40
_06_01_06_07
—
_06_08_06_14
—
_06_15_06_21
—
_06_22_06_28
—
_06_29_07_05
—
_07_06_07_12
—
_07_13_07_19
—
_07_20_07_26
—
_07_27_08_02
—
_08_03_08_09
—
_08_10_08_16
—
_08_17_08_23
—
_08_24_08_30
—
_08_31_09_06
—
_09_07_09_13
—
_09_14_09_20
—
_09_21_09_27
—
_09_28_10_04
—
_10_05_10_11
—
_10_12_10_18
—
_10_19_10_25
—
_10_26_11_01
—
_11_02_11_08
—
_11_09_11_15
—
_11_16_11_22
—
_11_23_11_29
—
_11_30_12_06
—
_12_07_12_13
—
_12_14_12_20
—
_12_21_12_27
—
_12_28_01_03
—
_06_01_06_07__v_double
—
_06_08_06_14__v_double
—
_06_15_06_21__v_double
—
_06_22_06_28__v_double
—
|
|||||||
| moreland_dashboard_demand | Action Door Foundation Project [1000 h] | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_moreland_dashboard_md_demand
client
Action Door
project
Action Door Foundation Project [1000 h]
demand
—
squad
Firestarter
contract
1000
burned
0.0
remaining
1000.0
status
Complete
start_date
2026-05-01 00:00:00+00:00
end_date
2026-12-01 00:00:00+00:00
_09_29_10_05
—
_10_06_10_12
—
_10_13_10_19
—
_10_20_10_26
—
_10_27_11_02
—
_11_03_11_09
—
_11_10_11_16
—
_11_17_11_23
—
_11_24_11_30
—
_12_01_12_07
—
_12_08_12_14
—
_12_15_12_21
—
_12_22_12_28
—
_12_29_01_04
—
_01_05_01_11
—
_01_12_01_18
—
_01_19_01_25
—
_01_26_02_01
—
_02_16_02_22
—
_02_23_03_01
—
_02_02_02_08
—
_02_09_02_15
—
_03_02_03_08
—
_03_09_03_15
—
_03_16_03_22
—
_03_23_03_29
—
_12_30_01_05
—
_01_06_01_12
—
_01_13_01_19
—
_01_20_01_26
—
_01_27_02_02
—
_02_03_02_09
—
_02_10_02_16
—
_02_17_02_23
—
_02_24_03_02
—
_03_03_03_09
—
_03_10_03_16
—
_03_17_03_23
—
_03_24_03_30
—
_03_31_04_06
—
_04_07_04_13
—
_04_14_04_20
—
_04_21_04_27
—
_04_28_05_04
—
_05_05_05_11
—
_05_12_05_18
—
_05_19_05_25
—
_05_26_06_01
—
_06_02_06_08
—
_06_09_06_15
—
_06_16_06_22
—
_06_23_06_29
—
_06_30_07_06
—
_07_07_07_13
—
_07_14_07_20
—
_07_21_07_27
—
_07_28_08_03
—
_08_04_08_10
—
_08_11_08_17
—
_08_18_08_24
—
_08_25_08_31
—
_09_01_09_07
—
_09_08_09_14
—
_09_15_09_21
—
_09_22_09_28
—
nan
—
nan_1
—
nan_2
—
nan_3
—
nan_4
—
nan_5
—
type
Foundation.AI
_03_30_04_05
—
_04_06_04_12
—
_04_13_04_19
—
_04_20_04_26
—
_04_27_05_03
50
_05_04_05_10
50
_05_11_05_17
50
_05_18_05_24
50
_05_25_05_31
50
_06_01_06_07
—
_06_08_06_14
—
_06_15_06_21
—
_06_22_06_28
—
_06_29_07_05
—
_07_06_07_12
—
_07_13_07_19
—
_07_20_07_26
—
_07_27_08_02
—
_08_03_08_09
—
_08_10_08_16
—
_08_17_08_23
—
_08_24_08_30
—
_08_31_09_06
—
_09_07_09_13
—
_09_14_09_20
—
_09_21_09_27
—
_09_28_10_04
—
_10_05_10_11
—
_10_12_10_18
—
_10_19_10_25
—
_10_26_11_01
—
_11_02_11_08
—
_11_09_11_15
—
_11_16_11_22
—
_11_23_11_29
—
_11_30_12_06
—
_12_07_12_13
—
_12_14_12_20
—
_12_21_12_27
—
_12_28_01_03
—
_06_01_06_07__v_double
—
_06_08_06_14__v_double
—
_06_15_06_21__v_double
—
_06_22_06_28__v_double
—
|
|||||||
| moreland_dashboard_demand | DPW1EGEgTaYPiQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | toXUE1ZtMiG4cw | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 5MnenQP+ClqdUg | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | qeD/8HgRYcoewg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | ZNMRBGhJldXSYA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | B4OH/S8di7grfA | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | kHGmXFnPwPAhgQ | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 7z6lZIjmjJ96Bw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | SMlmIwIatZULPA | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | V2Ek/fyulMprfw | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | S17+QfplVBg6Cg | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | jbjkRHP9pvad3g | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | kvkBcsosCIQhjA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | i+K0I320f+DR/Q | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | lCj2PgsQQxW3eg | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | bcSbAmN0H3BXRw | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | aegQVtBWrPP5Zw | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | k55H0c5nF6gV4A | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | P1/vA6Wsja+CJw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | p6MFvzW0QNp2jQ | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | Pj+XFc6yQZx/zQ | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | kHAkxNsWMdYSeg | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | VARgFCdnlg+WAA | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | QWo6CuHwFS3JnA | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | kozIoVpUvcOoCQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | n8LoTQ+OjZxS7g | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | FvBoHIv6ZfQZ+Q | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | sHUJruKvMfwCpQ | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | zbywp4KHOc0Rug | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | riCIRMPixFBdBg | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | y0/ES0nd0dQvag | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | I5ZK5JFLL6VqYQ | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 8VZRtYFK4pOD+g | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 7eN+TK9JaoruXg | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | jF/onGGnDwtUIA | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | B4xlTQf99Wgc0g | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | JXSXzp0ZYf4CJQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | uCA1PzNUHhDOFw | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | tVxRxMQHu1C3mA | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | +6iEA5OyLKz8ag | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | 8u/1gi8B1B2VMw | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | sj0D1hWRHHldAw | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | Fo52gmdtd6Yn2w | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | ep3VgOfpN35iKg | General Pipe - Foundation Build | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | YJXpV7WaGPBwgg | System4 Foundation Projects Retainer [400 h] | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | V3br2Ztoa3Pzww | SDC - Foundation Implementation | 0.80 | fuzzy+embedding | Active |
|
|
| moreland_dashboard_demand | v1qKlbiAf9iMJQ | Action Door Foundation Project [1000 h] | 0.80 | fuzzy+embedding | Active |
|
|
| toggl | 213858826 | Foundation | 1.00 | fuzzy+embedding | Active |
|
|
|
Source Record
bronze_toggl_projects
id
213858826
workspace_id
5511582
client_id
56542658
name
MC - Foundation R&D
is_private
No
active
Yes
updated_at
2026-05-04T12:17:30+00:00
created_at
2025-09-12T18:26:49+00:00
color
#d92b2b
billable
No
template
No
auto_estimates
No
rate
—
currency
—
recurring
No
actual_hours
2673
actual_seconds
9626163
client_name
MC - Assets
status
active
|
|||||||