Training

01KS5VX53WD7MXQNB2KNHBSZ87

Lunch and Learn - Claude Enterprise Training

2026-05-27 16:00:00+00:00

53

53

https://app.fireflies.ai/view/01KS5VX53WD7MXQNB2KNHBSZ87

https://teams.microsoft.com/l/meetup-join/19:meeting_MTUxOGYxNzAtZDBhZS00OTI0LWJjOGQtMWM0NDY3NmI5Y2U4@thread.v2/0?context={"Tid":"0425ae34-6b26-47c6-8c17-022dc3d7bac9","Oid":"daf0974e-3887-46eb-9ce1-27919fe2d379"}

The company is pursuing certification as an official Anthropic partner, which involves completing several key milestones, including training for over 10 team members and passing a proctored exam. This certification will boost credibility, grant access to the Anthropic partner portal, and aid in targeting specific markets, notably Nashville's $80 billion healthcare and $8 billion music industries, where AI solutions are in demand. The partnership is strategically significant, given Anthropic’s rapid valuation growth and backing by major investors like Amazon and Google. The preparation for the certification exam requires focused training in various AI-related topics. Leadership has committed significant resources to ensure team success and maintain momentum toward meeting growth objectives.

"\\n**Caden Kacmarynski**\\nShare meeting recording, slides, and links to the four Anthropic training courses on Skill Jar with all relevant employees (22:14)\\nOrganize and schedule a study group session for employees preparing for the Anthropic certification exam to facilitate exam preparation and discussion (43:12)\\nDevelop and distribute a comprehensive study guide for the Anthropic certification exam to aid employee preparation (43:12)\\nCompile and maintain a document of common exam errors and explanations submitted by examinees to improve collective study effectiveness (43:12)\\nProvide ongoing individual support and answer questions regarding the Anthropic training and certification exam process (36:14)\\n\\n**Employees Interested in Exam**\\nComplete the Anthropic training courses on Skill Jar using work email and begin exam preparation promptly (22:14)\\nCommunicate readiness to take the Anthropic certification exam to coordinate study group participation and exam scheduling (43:12)\\nTake the Anthropic certification exam once prepared, understanding the exam is proctored, allows only one attempt, and results take 7 days to process (37:51)\\nSubmit screenshots of incorrect practice exam answers to help build collective study resources and improve group preparation (43:12)\\n"

[{"index": 0, "text": "Hey, guys, we're getting this set up.", "raw_text": "Hey, guys, we're getting this set up.", "start_time": 451.61, "end_time": 452.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 1, "text": "It'll be a minute.", "raw_text": "It'll be a minute.", "start_time": 452.93, "end_time": 453.93, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 2, "text": "Sounds good.", "raw_text": "Sounds good.", "start_time": 463.78, "end_time": 464.5, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 3, "text": "Let's use that picture he sent over here.", "raw_text": "Let's use that picture he sent over here.", "start_time": 509.47, "end_time": 511.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 4, "text": "Or you have to completely.", "raw_text": "Or you have to completely.", "start_time": 512.86, "end_time": 513.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 5, "text": "Put some braids in.", "raw_text": "Put some braids in.", "start_time": 518.3, "end_time": 519.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 6, "text": "Stephanie,.", "raw_text": "Stephanie,.", "start_time": 519.3, "end_time": 519.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 7, "text": "I think this works.", "raw_text": "I think this works.", "start_time": 525.9, "end_time": 526.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 8, "text": "Can you guys see the slide?", "raw_text": "Can you guys see the slide?", "start_time": 526.78, "end_time": 528.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 9, "text": "Yeah, we got it.", "raw_text": "Yeah, we got it.", "start_time": 530.94, "end_time": 531.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 10, "text": "All right, cool.", "raw_text": "All right, cool.", "start_time": 532.22, "end_time": 532.9, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 11, "text": "I think it'll probably be at least five minutes or so.", "raw_text": "I think it'll probably be at least five minutes or so.", "start_time": 532.9, "end_time": 536.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 12, "text": "Everyone's kind of settling with their food.", "raw_text": "Everyone's kind of settling with their food.", "start_time": 536.74, "end_time": 538.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 13, "text": "I won't.", "raw_text": "I won't.", "start_time": 538.99, "end_time": 539.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 14, "text": "The presentation shouldn't take too long to be about 20 minutes and then open discussion.", "raw_text": "The presentation shouldn't take too long to be about 20 minutes and then open discussion.", "start_time": 539.27, "end_time": 543.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 15, "text": "All right, Is everybody settle?", "raw_text": "All right, Is everybody settle?", "start_time": 619.79, "end_time": 620.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 16, "text": "Isn't it Wednesdays, like first Tuesdays.", "raw_text": "Isn't it Wednesdays, like first Tuesdays.", "start_time": 676.22, "end_time": 679.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 17, "text": "But even if they're out there, you could be out there.", "raw_text": "But even if they're out there, you could be out there.", "start_time": 681.26, "end_time": 682.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 18, "text": "You know where the stock is.", "raw_text": "You know where the stock is.", "start_time": 692.14, "end_time": 693.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 19, "text": "Yeah, they usually stay there.", "raw_text": "Yeah, they usually stay there.", "start_time": 694.62, "end_time": 696.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 20, "text": "Go and grab your turbines to the Exorcist.", "raw_text": "Go and grab your turbines to the Exorcist.", "start_time": 698.22, "end_time": 700.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 21, "text": "And that's flip right there.", "raw_text": "And that's flip right there.", "start_time": 700.66, "end_time": 701.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 22, "text": "Okay.", "raw_text": "Okay.", "start_time": 702.18, "end_time": 702.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 23, "text": "South end of the way.", "raw_text": "South end of the way.", "start_time": 705.14, "end_time": 706.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 24, "text": "Okay.", "raw_text": "Okay.", "start_time": 706.98, "end_time": 707.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 25, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 708.5, "end_time": 709.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 26, "text": "Thoughts on the taco bell, chipotle?", "raw_text": "Thoughts on the taco bell, chipotle?", "start_time": 714.26, "end_time": 716.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 27, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 729.62, "end_time": 729.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 28, "text": "I mean,.", "raw_text": "I mean,.", "start_time": 729.82, "end_time": 730.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 29, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 741.78, "end_time": 742.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 30, "text": "All right, I'll just get rolling.", "raw_text": "All right, I'll just get rolling.", "start_time": 756.99, "end_time": 757.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 31, "text": "We got eating to spare you all time so you don't run late.", "raw_text": "We got eating to spare you all time so you don't run late.", "start_time": 757.87, "end_time": 760.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 32, "text": "Today we're be talking about Anthropic and the Claude partner network.", "raw_text": "Today we're be talking about Anthropic and the Claude partner network.", "start_time": 761.39, "end_time": 765.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 33, "text": "That's the sole goal of what we're talking about today.", "raw_text": "That's the sole goal of what we're talking about today.", "start_time": 766.11, "end_time": 768.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 34, "text": "I'll talk about what it is, why it matters, why you should care and.", "raw_text": "I'll talk about what it is, why it matters, why you should care and.", "start_time": 768.83, "end_time": 774.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 35, "text": "What we need from you collectively and.", "raw_text": "What we need from you collectively and.", "start_time": 774.35, "end_time": 777.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 36, "text": "Hopefully how it'll impact you.", "raw_text": "Hopefully how it'll impact you.", "start_time": 777.59, "end_time": 778.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 37, "text": "I can just work.", "raw_text": "I can just work.", "start_time": 781.24, "end_time": 782.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 38, "text": "Okay.", "raw_text": "Okay.", "start_time": 782.12, "end_time": 782.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 39, "text": "So some of you may have heard,.", "raw_text": "So some of you may have heard,.", "start_time": 782.72, "end_time": 785.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 40, "text": "Like us discussing this previously or not, but we have.", "raw_text": "Like us discussing this previously or not, but we have.", "start_time": 785.56, "end_time": 787.92, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 41, "text": "I don't think we've done like a company live discussion about it.", "raw_text": "I don't think we've done like a company live discussion about it.", "start_time": 787.92, "end_time": 790.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 42, "text": "Part of that is because we were.", "raw_text": "Part of that is because we were.", "start_time": 790.68, "end_time": 792.52, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 43, "text": "Figuring out what the partnership program is.", "raw_text": "Figuring out what the partnership program is.", "start_time": 792.52, "end_time": 794.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 44, "text": "It's super new beginning of May is.", "raw_text": "It's super new beginning of May is.", "start_time": 795.16, "end_time": 798.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 45, "text": "When Anthropic, like announced it.", "raw_text": "When Anthropic, like announced it.", "start_time": 798.16, "end_time": 799.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 46, "text": "And it's still kind of like pending.", "raw_text": "And it's still kind of like pending.", "start_time": 799.72, "end_time": 801.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 47, "text": "But what we found out is there's a few rounds of an application process.", "raw_text": "But what we found out is there's a few rounds of an application process.", "start_time": 801.48, "end_time": 805.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 48, "text": "So Justin's been kind of going back and forth.", "raw_text": "So Justin's been kind of going back and forth.", "start_time": 806.68, "end_time": 808.48, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 49, "text": "He's been going back and forth with their team to figure out as we go.", "raw_text": "He's been going back and forth with their team to figure out as we go.", "start_time": 808.48, "end_time": 811.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 50, "text": "And now I think we found the last step.", "raw_text": "And now I think we found the last step.", "start_time": 812.28, "end_time": 815.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 51, "text": "So first we applied, we had to get invited to proceed.", "raw_text": "So first we applied, we had to get invited to proceed.", "start_time": 815.48, "end_time": 819.8, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 52, "text": "Then there was initial training that we had to do.", "raw_text": "Then there was initial training that we had to do.", "start_time": 820.12, "end_time": 822.759, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 53, "text": "So some of you may have already done this, some of you may have heard about it.", "raw_text": "So some of you may have already done this, some of you may have heard about it.", "start_time": 823, "end_time": 826.36, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 54, "text": "So we just had to get at least 10 people through four skill jar.", "raw_text": "So we just had to get at least 10 people through four skill jar.", "start_time": 826.84, "end_time": 831.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 55, "text": "Classes, which what we'll actually talk about here.", "raw_text": "Classes, which what we'll actually talk about here.", "start_time": 831.24, "end_time": 833.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 56, "text": "Initially we thought the training was just like some hurdle we had to click through.", "raw_text": "Initially we thought the training was just like some hurdle we had to click through.", "start_time": 833.98, "end_time": 837.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 57, "text": "But from those.", "raw_text": "But from those.", "start_time": 837.74, "end_time": 839.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 58, "text": "Those of us who have done the training, it seems pretty valuable.", "raw_text": "Those of us who have done the training, it seems pretty valuable.", "start_time": 839.1, "end_time": 841.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 59, "text": "So we'll break down a few of those key lessons.", "raw_text": "So we'll break down a few of those key lessons.", "start_time": 841.82, "end_time": 843.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 60, "text": "And then now you actually have to apply that and take a proctored exam.", "raw_text": "And then now you actually have to apply that and take a proctored exam.", "start_time": 844.46, "end_time": 848.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 61, "text": "So Skipping the punchline.", "raw_text": "So Skipping the punchline.", "start_time": 849.34, "end_time": 852.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 62, "text": "The next thing we're going to have to do is get at least 10 people to pass a proctored exam on some of the Anthropic lessons.", "raw_text": "The next thing we're going to have to do is get at least 10 people to pass a proctored exam on some of the Anthropic lessons.", "start_time": 852.62, "end_time": 859.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 63, "text": "So we'll talk a little bit more about what that exam's like and what the training is, and then hopefully get at least 10 people to sign up.", "raw_text": "So we'll talk a little bit more about what that exam's like and what the training is, and then hopefully get at least 10 people to sign up.", "start_time": 860.5, "end_time": 867.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 64, "text": "For it or more what it unlocks.", "raw_text": "For it or more what it unlocks.", "start_time": 867.94, "end_time": 871.78, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 65, "text": "They've said there's a partner portal, so there could be some type of insider information, but they also have like, they're going to have like a partnerships page and will be able to be listed there.", "raw_text": "They've said there's a partner portal, so there could be some type of insider information, but they also have like, they're going to have like a partnerships page and will be able to be listed there.", "start_time": 872.42, "end_time": 882.66, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 66, "text": "We'll also be able to say we're.", "raw_text": "We'll also be able to say we're.", "start_time": 882.74, "end_time": 884.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 67, "text": "Anthropic partners and they have certifications which.", "raw_text": "Anthropic partners and they have certifications which.", "start_time": 884.14, "end_time": 888.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 68, "text": "If you take the exam, you can put on your LinkedIn, your resume as well as like, our company will be certified marketing opportunities.", "raw_text": "If you take the exam, you can put on your LinkedIn, your resume as well as like, our company will be certified marketing opportunities.", "start_time": 888.91, "end_time": 895.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 69, "text": "Being Anthropic partner carry weights.", "raw_text": "Being Anthropic partner carry weights.", "start_time": 896.35, "end_time": 898.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 70, "text": "Anthropic is kind of a fresh, fresh kid on the block right now.", "raw_text": "Anthropic is kind of a fresh, fresh kid on the block right now.", "start_time": 898.35, "end_time": 903.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 71, "text": "Everyone wants to have something to do.", "raw_text": "Everyone wants to have something to do.", "start_time": 903.31, "end_time": 904.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 72, "text": "With Anthropic and the credibility signal really.", "raw_text": "With Anthropic and the credibility signal really.", "start_time": 904.75, "end_time": 908.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 73, "text": "Would help us in the sales cycle.", "raw_text": "Would help us in the sales cycle.", "start_time": 908.59, "end_time": 910.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 74, "text": "I mean, we're already scaling rapidly, but this could even be another huge unlock for us.", "raw_text": "I mean, we're already scaling rapidly, but this could even be another huge unlock for us.", "start_time": 910.19, "end_time": 914.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 75, "text": "And before talking more about the actual.", "raw_text": "And before talking more about the actual.", "start_time": 914.92, "end_time": 918.36, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 76, "text": "Details and lessons learned, I know that a lot of us maybe use cloud code, maybe you don't maybe use some of the other things, but I don't know how often you guys are listening to actually some of the news cycles.", "raw_text": "Details and lessons learned, I know that a lot of us maybe use cloud code, maybe you don't maybe use some of the other things, but I don't know how often you guys are listening to actually some of the news cycles.", "start_time": 918.84, "end_time": 929.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 77, "text": "And the impact that Anthropics had, it's just absolutely unheard of.", "raw_text": "And the impact that Anthropics had, it's just absolutely unheard of.", "start_time": 929.28, "end_time": 933.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 78, "text": "And a lot of the AI companies are doing this right now.", "raw_text": "And a lot of the AI companies are doing this right now.", "start_time": 933.28, "end_time": 935.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 79, "text": "Like OpenAI is looking at a $1 trillion IPO, which means coming public at a trillion dollars.", "raw_text": "Like OpenAI is looking at a $1 trillion IPO, which means coming public at a trillion dollars.", "start_time": 935.72, "end_time": 943.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 80, "text": "That's an absurd amount of money.", "raw_text": "That's an absurd amount of money.", "start_time": 943.58, "end_time": 945.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 81, "text": "Largest ever.", "raw_text": "Largest ever.", "start_time": 945.42, "end_time": 946.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 82, "text": "And then this year it will be interesting on the finance side, but Anthropic, they went from $4 billion to $900 billion in three years.", "raw_text": "And then this year it will be interesting on the finance side, but Anthropic, they went from $4 billion to $900 billion in three years.", "start_time": 946.94, "end_time": 955.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 83, "text": "That's literally unheard of.", "raw_text": "That's literally unheard of.", "start_time": 955.18, "end_time": 956.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 84, "text": "They're 4x the speed of AWS sizes.", "raw_text": "They're 4x the speed of AWS sizes.", "start_time": 957.02, "end_time": 960.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 85, "text": "And then also who's backing it right now?", "raw_text": "And then also who's backing it right now?", "start_time": 960.54, "end_time": 962.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 86, "text": "Amazon, Google, SpaceX?", "raw_text": "Amazon, Google, SpaceX?", "start_time": 962.94, "end_time": 964.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 87, "text": "Literally everyone is buying into Anthropic.", "raw_text": "Literally everyone is buying into Anthropic.", "start_time": 964.86, "end_time": 967.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 88, "text": "The largest compute labs are all saying Anthropic is going to go.", "raw_text": "The largest compute labs are all saying Anthropic is going to go.", "start_time": 967.02, "end_time": 969.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 89, "text": "And part of the reason people are focusing on Anthropic right now and they've had this huge comeback Jet OpenAI was beating them.", "raw_text": "And part of the reason people are focusing on Anthropic right now and they've had this huge comeback Jet OpenAI was beating them.", "start_time": 970.18, "end_time": 976.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 90, "text": "They were 3x larger, if not more.", "raw_text": "They were 3x larger, if not more.", "start_time": 976.98, "end_time": 979.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 91, "text": "But Anthropics caught up and they made a bet on coding models.", "raw_text": "But Anthropics caught up and they made a bet on coding models.", "start_time": 979.62, "end_time": 983.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 92, "text": "So that's kind of why it's impacted us a lot.", "raw_text": "So that's kind of why it's impacted us a lot.", "start_time": 983.78, "end_time": 985.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 93, "text": "Their clock code harness system and focusing their resources there has really allowed them to scale and then if you're following the news, interestingly enough, look like the biggest hurdle they were going to have was computer.", "raw_text": "Their clock code harness system and focusing their resources there has really allowed them to scale and then if you're following the news, interestingly enough, look like the biggest hurdle they were going to have was computer.", "start_time": 985.86, "end_time": 996.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 94, "text": "And then they struck a huge deal with Elon and SpaceX to get Colossus.", "raw_text": "And then they struck a huge deal with Elon and SpaceX to get Colossus.", "start_time": 996.44, "end_time": 1000.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 95, "text": "Access from all the new training centers.", "raw_text": "Access from all the new training centers.", "start_time": 1000.04, "end_time": 1002.6, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 96, "text": "So they're just going to keep growing.", "raw_text": "So they're just going to keep growing.", "start_time": 1002.6, "end_time": 1004.76, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 97, "text": "So it's going to be useful to embed ourselves within the anthropic ecosystem.", "raw_text": "So it's going to be useful to embed ourselves within the anthropic ecosystem.", "start_time": 1004.92, "end_time": 1009.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 98, "text": "And we also can use multiple other companies.", "raw_text": "And we also can use multiple other companies.", "start_time": 1009.64, "end_time": 1013.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 99, "text": "So we're not going to be exclusively anthropic.", "raw_text": "So we're not going to be exclusively anthropic.", "start_time": 1013.16, "end_time": 1015.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 100, "text": "We're looking into OpenAI, Microsoft, Google, Relet perplexity.", "raw_text": "We're looking into OpenAI, Microsoft, Google, Relet perplexity.", "start_time": 1015.08, "end_time": 1020.96, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 101, "text": "We've had that perplexity through partnership.", "raw_text": "We've had that perplexity through partnership.", "start_time": 1020.96, "end_time": 1022.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 102, "text": "So we're also looking at other partnerships.", "raw_text": "So we're also looking at other partnerships.", "start_time": 1022.88, "end_time": 1024.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 103, "text": "But this was like our number one priority and we really wanted to get this moving.", "raw_text": "But this was like our number one priority and we really wanted to get this moving.", "start_time": 1025.78, "end_time": 1029.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 104, "text": "So what we want to do is.", "raw_text": "So what we want to do is.", "start_time": 1030.26, "end_time": 1032.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 105, "text": "Get into this ecosystem and pass these exams as soon as possible.", "raw_text": "Get into this ecosystem and pass these exams as soon as possible.", "start_time": 1032.18, "end_time": 1035.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 106, "text": "Because right now, until we pass these exams and get word back from them, we can't officially say we're anthropic partners.", "raw_text": "Because right now, until we pass these exams and get word back from them, we can't officially say we're anthropic partners.", "start_time": 1036.02, "end_time": 1042.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 107, "text": "If anyone asks you, what I've been saying is what I've learned from the training to become an anthropic partner that works.", "raw_text": "If anyone asks you, what I've been saying is what I've learned from the training to become an anthropic partner that works.", "start_time": 1043.54, "end_time": 1050.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 108, "text": "We just can't publicly advertise it.", "raw_text": "We just can't publicly advertise it.", "start_time": 1050.9, "end_time": 1052.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 109, "text": "But this growth that they've seen is insane.", "raw_text": "But this growth that they've seen is insane.", "start_time": 1053.35, "end_time": 1056.47, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 110, "text": "And if those numbers don't matter as much, you may also just feel it encoding.", "raw_text": "And if those numbers don't matter as much, you may also just feel it encoding.", "start_time": 1056.71, "end_time": 1060.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 111, "text": "I think Paul spelled how awesome Opus was and they continue to keep moving.", "raw_text": "I think Paul spelled how awesome Opus was and they continue to keep moving.", "start_time": 1060.59, "end_time": 1064.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 112, "text": "And now.", "raw_text": "And now.", "start_time": 1068.07, "end_time": 1069.11, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 113, "text": "Okay, Anthropic's a great book.", "raw_text": "Okay, Anthropic's a great book.", "start_time": 1069.19, "end_time": 1070.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 114, "text": "Why do we care for our company?", "raw_text": "Why do we care for our company?", "start_time": 1070.75, "end_time": 1072.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 115, "text": "Well, colleges automatically pulled this Firefly transcript.", "raw_text": "Well, colleges automatically pulled this Firefly transcript.", "start_time": 1072.71, "end_time": 1077.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 116, "text": "I had but we talked before too about Palantir and their four deployed engineer model which really we've tried to use as a company.", "raw_text": "I had but we talked before too about Palantir and their four deployed engineer model which really we've tried to use as a company.", "start_time": 1077.31, "end_time": 1086.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 117, "text": "We go on site and we split into these groups and then we guys more on site.", "raw_text": "We go on site and we split into these groups and then we guys more on site.", "start_time": 1086.87, "end_time": 1091.51, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 118, "text": "And Palantir has done.", "raw_text": "And Palantir has done.", "start_time": 1091.75, "end_time": 1094.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 119, "text": "They're also scaling very rapidly.", "raw_text": "They're also scaling very rapidly.", "start_time": 1094.47, "end_time": 1096.829, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 120, "text": "They came from government, but now they've really scaled into our level of industry, but much, much larger.", "raw_text": "They came from government, but now they've really scaled into our level of industry, but much, much larger.", "start_time": 1096.829, "end_time": 1102.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 121, "text": "So Palantir creates demand, but they leave tons of small and midsize AI use cases way too special to touch.", "raw_text": "So Palantir creates demand, but they leave tons of small and midsize AI use cases way too special to touch.", "start_time": 1102.79, "end_time": 1108.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 122, "text": "They won't touch if it's under $5 million.", "raw_text": "They won't touch if it's under $5 million.", "start_time": 1109.23, "end_time": 1111.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 123, "text": "So as you can imagine, that leaves a lot of operating room for us for contract or it could be the fast practical partner that handles those.", "raw_text": "So as you can imagine, that leaves a lot of operating room for us for contract or it could be the fast practical partner that handles those.", "start_time": 1111.63, "end_time": 1118.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 124, "text": "And this was from a client just hearing us for the first time what.", "raw_text": "And this was from a client just hearing us for the first time what.", "start_time": 1118.43, "end_time": 1121.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 125, "text": "We do and how we approach business.", "raw_text": "We do and how we approach business.", "start_time": 1121.27, "end_time": 1124.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 126, "text": "So that's a good signal that we've seen other people are recognizing us as.", "raw_text": "So that's a good signal that we've seen other people are recognizing us as.", "start_time": 1124.75, "end_time": 1128.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 127, "text": "We'd like to be recognized in a.", "raw_text": "We'd like to be recognized in a.", "start_time": 1128.15, "end_time": 1129.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 128, "text": "New market, in a large space and.", "raw_text": "New market, in a large space and.", "start_time": 1129.79, "end_time": 1132.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 129, "text": "The growth opportunity many of you have.", "raw_text": "The growth opportunity many of you have.", "start_time": 1132.19, "end_time": 1135.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 130, "text": "Probably realized Nashville is the Music center of America.", "raw_text": "Probably realized Nashville is the Music center of America.", "start_time": 1135.84, "end_time": 1140.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 131, "text": "Well, music in Nashville is an $8 billion industry.", "raw_text": "Well, music in Nashville is an $8 billion industry.", "start_time": 1141, "end_time": 1144.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 132, "text": "Healthcare in Nashville is an $80 billion industry.", "raw_text": "Healthcare in Nashville is an $80 billion industry.", "start_time": 1144.92, "end_time": 1147.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 133, "text": "10X that and we have some experience selling software and healthcare.", "raw_text": "10X that and we have some experience selling software and healthcare.", "start_time": 1147.88, "end_time": 1152.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 134, "text": "So there's a lot of growth opportunity there for us.", "raw_text": "So there's a lot of growth opportunity there for us.", "start_time": 1152.28, "end_time": 1154.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 135, "text": "So having this anthropic partnership signaling credibility, allowing us to move fast in this market, be very fruitful to this company and yourselves.", "raw_text": "So having this anthropic partnership signaling credibility, allowing us to move fast in this market, be very fruitful to this company and yourselves.", "start_time": 1155.32, "end_time": 1163.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 136, "text": "So the opportunity is the AI service lanes wide open.", "raw_text": "So the opportunity is the AI service lanes wide open.", "start_time": 1164.62, "end_time": 1168.94, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 137, "text": "And this really kind of extends more to take this exam, read into these things and why some of these learnings are useful to apply in everything that.", "raw_text": "And this really kind of extends more to take this exam, read into these things and why some of these learnings are useful to apply in everything that.", "start_time": 1168.94, "end_time": 1177.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 138, "text": "We're doing and then the timing's right.", "raw_text": "We're doing and then the timing's right.", "start_time": 1177.46, "end_time": 1180.14, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 139, "text": "For first mover credibility meaning winning new accounts.", "raw_text": "For first mover credibility meaning winning new accounts.", "start_time": 1180.14, "end_time": 1183.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 140, "text": "Now which for those of you who've been here for a long time, you've seen we've had a rapid expansion of accounts or different projects we've been on.", "raw_text": "Now which for those of you who've been here for a long time, you've seen we've had a rapid expansion of accounts or different projects we've been on.", "start_time": 1183.98, "end_time": 1190.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 141, "text": "For those of you who may be.", "raw_text": "For those of you who may be.", "start_time": 1191, "end_time": 1192.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 142, "text": "Your first day or just starting off here, you get to work under a lot of different accounts and industries and verticals and the patterns of how this AI is applying, we're just seeing compound.", "raw_text": "Your first day or just starting off here, you get to work under a lot of different accounts and industries and verticals and the patterns of how this AI is applying, we're just seeing compound.", "start_time": 1192.56, "end_time": 1204.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 143, "text": "So this training will be useful to.", "raw_text": "So this training will be useful to.", "start_time": 1204.68, "end_time": 1206.72, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 144, "text": "Do in your own time.", "raw_text": "Do in your own time.", "start_time": 1206.72, "end_time": 1207.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 145, "text": "You don't have to learn the exam, take the exam to learn this.", "raw_text": "You don't have to learn the exam, take the exam to learn this.", "start_time": 1207.8, "end_time": 1210.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 146, "text": "But getting a certification here, learning these things, if you have any possible time left over at work is very, very beneficial.", "raw_text": "But getting a certification here, learning these things, if you have any possible time left over at work is very, very beneficial.", "start_time": 1210.44, "end_time": 1219, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 147, "text": "Figured this would be a little background to help and I have a blank slide.", "raw_text": "Figured this would be a little background to help and I have a blank slide.", "start_time": 1219.08, "end_time": 1226.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 148, "text": "So where are we in this process?", "raw_text": "So where are we in this process?", "start_time": 1226.6, "end_time": 1228.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 149, "text": "Kind of summed up essentially we got.", "raw_text": "Kind of summed up essentially we got.", "start_time": 1228.76, "end_time": 1230.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 150, "text": "Our application in 10 of us completed the path, actually more than us did.", "raw_text": "Our application in 10 of us completed the path, actually more than us did.", "start_time": 1230.88, "end_time": 1234.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 151, "text": "So we now have our domain enabled for the architect exam.", "raw_text": "So we now have our domain enabled for the architect exam.", "start_time": 1235.4, "end_time": 1238.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 152, "text": "So there is some back and forth for us to get to the exams.", "raw_text": "So there is some back and forth for us to get to the exams.", "start_time": 1238.6, "end_time": 1241.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 153, "text": "Just had to get that unlocked and now we have access to complete the exams.", "raw_text": "Just had to get that unlocked and now we have access to complete the exams.", "start_time": 1241.48, "end_time": 1246.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 154, "text": "They're just waiting on us to take.", "raw_text": "They're just waiting on us to take.", "start_time": 1246.65, "end_time": 1247.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 155, "text": "These exams and I don't know if.", "raw_text": "These exams and I don't know if.", "start_time": 1247.89, "end_time": 1250.85, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 156, "text": "I have this here.", "raw_text": "I have this here.", "start_time": 1250.85, "end_time": 1251.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 157, "text": "Well, it's on a slide later.", "raw_text": "Well, it's on a slide later.", "start_time": 1252.33, "end_time": 1254.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 158, "text": "But the kicker with these exams is you only get to take it like one time after like a really lax try again period.", "raw_text": "But the kicker with these exams is you only get to take it like one time after like a really lax try again period.", "start_time": 1254.17, "end_time": 1260.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 159, "text": "So we have to make sure we kind of study and prep this because say I take it and I fail, well, I'm not one of the ten anymore.", "raw_text": "So we have to make sure we kind of study and prep this because say I take it and I fail, well, I'm not one of the ten anymore.", "start_time": 1261.21, "end_time": 1266.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 160, "text": "Someone else is going to have to fill in.", "raw_text": "Someone else is going to have to fill in.", "start_time": 1266.93, "end_time": 1268.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 161, "text": "It's going to take some time.", "raw_text": "It's going to take some time.", "start_time": 1268.05, "end_time": 1269.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 162, "text": "So we got to do some prep.", "raw_text": "So we got to do some prep.", "start_time": 1269.63, "end_time": 1270.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 163, "text": "Luckily they have some posted exam practice exams and so we'll kind of work through them and then I think company wide we should study the training and the exams for what topics they're covering.", "raw_text": "Luckily they have some posted exam practice exams and so we'll kind of work through them and then I think company wide we should study the training and the exams for what topics they're covering.", "start_time": 1270.99, "end_time": 1283.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 164, "text": "So we know like what did they find important because we're Finding out they're pretty opinionated in what they're putting in for the content.", "raw_text": "So we know like what did they find important because we're Finding out they're pretty opinionated in what they're putting in for the content.", "start_time": 1283.31, "end_time": 1289.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 165, "text": "So it's useful patterns for us to recognize across all of our delivery work.", "raw_text": "So it's useful patterns for us to recognize across all of our delivery work.", "start_time": 1290.11, "end_time": 1294.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 166, "text": "So starting with the courses, I know.", "raw_text": "So starting with the courses, I know.", "start_time": 1297, "end_time": 1299.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 167, "text": "At least like 14 of us or so have done it.", "raw_text": "At least like 14 of us or so have done it.", "start_time": 1299.88, "end_time": 1301.68, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 168, "text": "So probably half the room or so may have done these courses or seen the courses.", "raw_text": "So probably half the room or so may have done these courses or seen the courses.", "start_time": 1301.68, "end_time": 1305.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 169, "text": "But I will send after this meeting is concluded, we'll have the recording.", "raw_text": "But I will send after this meeting is concluded, we'll have the recording.", "start_time": 1305.8, "end_time": 1311.48, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 170, "text": "I'll share these slides.", "raw_text": "I'll share these slides.", "start_time": 1311.64, "end_time": 1312.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 171, "text": "I also will share the four links to this training.", "raw_text": "I also will share the four links to this training.", "start_time": 1313.16, "end_time": 1316.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 172, "text": "It's on Skill Jar, just like a public lms.", "raw_text": "It's on Skill Jar, just like a public lms.", "start_time": 1316.84, "end_time": 1320.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 173, "text": "And make sure you sign up with.", "raw_text": "And make sure you sign up with.", "start_time": 1320.69, "end_time": 1322.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 174, "text": "Your Morland Connect email and say like Moreland Connect is your work.", "raw_text": "Your Morland Connect email and say like Moreland Connect is your work.", "start_time": 1322.57, "end_time": 1325.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 175, "text": "So it counts for us.", "raw_text": "So it counts for us.", "start_time": 1325.93, "end_time": 1327.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 176, "text": "Some of us who may have clicked through the training, you just click through it a bunch of times.", "raw_text": "Some of us who may have clicked through the training, you just click through it a bunch of times.", "start_time": 1328.61, "end_time": 1332.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 177, "text": "But there's like videos in each section.", "raw_text": "But there's like videos in each section.", "start_time": 1332.05, "end_time": 1334.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 178, "text": "So you open up a training, it says agent Skills.", "raw_text": "So you open up a training, it says agent Skills.", "start_time": 1334.21, "end_time": 1337.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 179, "text": "There's a few lessons.", "raw_text": "There's a few lessons.", "start_time": 1337.29, "end_time": 1338.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 180, "text": "This first one's pretty easy to go through.", "raw_text": "This first one's pretty easy to go through.", "start_time": 1338.53, "end_time": 1341.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 181, "text": "It's a few different, five different topics.", "raw_text": "It's a few different, five different topics.", "start_time": 1341.25, "end_time": 1344.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 182, "text": "And each of them are like eight minute lessons.", "raw_text": "And each of them are like eight minute lessons.", "start_time": 1344.21, "end_time": 1346.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 183, "text": "There's a video for each one, especially the newer guys.", "raw_text": "There's a video for each one, especially the newer guys.", "start_time": 1346.29, "end_time": 1350.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 184, "text": "The video might be worth the time if like, if you have the time you want to watch the video.", "raw_text": "The video might be worth the time if like, if you have the time you want to watch the video.", "start_time": 1350.96, "end_time": 1354.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 185, "text": "Most, most of you guys are pretty experienced and you just read it and it's pretty good.", "raw_text": "Most, most of you guys are pretty experienced and you just read it and it's pretty good.", "start_time": 1354.44, "end_time": 1358.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 186, "text": "Or take it, put it in Claude, ask about it.", "raw_text": "Or take it, put it in Claude, ask about it.", "start_time": 1358.04, "end_time": 1360.84, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 187, "text": "It's actually also always a good strategy.", "raw_text": "It's actually also always a good strategy.", "start_time": 1360.84, "end_time": 1363.24, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 188, "text": "It was actually funny specifically for me because I was working on that InfoSec project.", "raw_text": "It was actually funny specifically for me because I was working on that InfoSec project.", "start_time": 1364.04, "end_time": 1368.52, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 189, "text": "Our team was working with Signet Infosec, really quick background on that.", "raw_text": "Our team was working with Signet Infosec, really quick background on that.", "start_time": 1368.52, "end_time": 1374.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 190, "text": "Signet's app security.", "raw_text": "Signet's app security.", "start_time": 1374.49, "end_time": 1376.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 191, "text": "InfoSec team had a reasonably large project with us for the last three months where we had to teach them how to apply AI to their local dev cycle.", "raw_text": "InfoSec team had a reasonably large project with us for the last three months where we had to teach them how to apply AI to their local dev cycle.", "start_time": 1376.29, "end_time": 1386.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 192, "text": "And so we talked to them about skills and hooks and tools and how we can get proper AI use in their CICD versus their local dev flow.", "raw_text": "And so we talked to them about skills and hooks and tools and how we can get proper AI use in their CICD versus their local dev flow.", "start_time": 1386.29, "end_time": 1394.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 193, "text": "And they paid us six figures to deliver basically the free training that Claude just gave us.", "raw_text": "And they paid us six figures to deliver basically the free training that Claude just gave us.", "start_time": 1394.93, "end_time": 1400.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 194, "text": "And I will admit it was done very well.", "raw_text": "And I will admit it was done very well.", "start_time": 1400.05, "end_time": 1401.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 195, "text": "So that was when I realized we collectively actually realized this is pretty good training.", "raw_text": "So that was when I realized we collectively actually realized this is pretty good training.", "start_time": 1402.63, "end_time": 1407.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 196, "text": "Like they definitely put some time into this and it was worth reviewing.", "raw_text": "Like they definitely put some time into this and it was worth reviewing.", "start_time": 1407.27, "end_time": 1410.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 197, "text": "And my favorite of these three was.", "raw_text": "And my favorite of these three was.", "start_time": 1410.47, "end_time": 1413.15, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 198, "text": "The agent skills one.", "raw_text": "The agent skills one.", "start_time": 1413.15, "end_time": 1414.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 199, "text": "Skills are very important to help you.", "raw_text": "Skills are very important to help you.", "start_time": 1414.95, "end_time": 1417.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 200, "text": "Like it's one of those things where if you just take 10 minutes and come up with a good skill every time you use cloud code, it'll just compound and save you that much time.", "raw_text": "Like it's one of those things where if you just take 10 minutes and come up with a good skill every time you use cloud code, it'll just compound and save you that much time.", "start_time": 1417.27, "end_time": 1425.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 201, "text": "So understanding like it's the old adage, if you have 10 hours to chop down a tree, spend nine of them sharpening your axe like know the tools.", "raw_text": "So understanding like it's the old adage, if you have 10 hours to chop down a tree, spend nine of them sharpening your axe like know the tools.", "start_time": 1426.31, "end_time": 1433.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 202, "text": "That you use and constantly improving the environment you're developing in with tools and.", "raw_text": "That you use and constantly improving the environment you're developing in with tools and.", "start_time": 1433.76, "end_time": 1439.96, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 203, "text": "Skills and MCPs kind of understanding the.", "raw_text": "Skills and MCPs kind of understanding the.", "start_time": 1439.96, "end_time": 1442.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 204, "text": "Difference between them which I will say.", "raw_text": "Difference between them which I will say.", "start_time": 1442.4, "end_time": 1445.56, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 205, "text": "We can have a follow up.", "raw_text": "We can have a follow up.", "start_time": 1445.56, "end_time": 1446.76, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 206, "text": "We'll go farther into this.", "raw_text": "We'll go farther into this.", "start_time": 1446.76, "end_time": 1448.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 207, "text": "I'll also put out like study guide and I think if you do sign up for the exam we'll do a separate meeting next week where we dive deep into the exam.", "raw_text": "I'll also put out like study guide and I think if you do sign up for the exam we'll do a separate meeting next week where we dive deep into the exam.", "start_time": 1448.2, "end_time": 1455.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 208, "text": "This is more introductory and level setting.", "raw_text": "This is more introductory and level setting.", "start_time": 1455.4, "end_time": 1458.04, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 209, "text": "But one thing that comes clear in.", "raw_text": "But one thing that comes clear in.", "start_time": 1458.12, "end_time": 1460.29, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 210, "text": "This training and also as you start doing things MCPS and tools and skills and prompts and all these different words.", "raw_text": "This training and also as you start doing things MCPS and tools and skills and prompts and all these different words.", "start_time": 1460.29, "end_time": 1467.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 211, "text": "You have heard, they're all.", "raw_text": "You have heard, they're all.", "start_time": 1467.45, "end_time": 1469.49, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 212, "text": "There's some overlap and you can just.", "raw_text": "There's some overlap and you can just.", "start_time": 1469.49, "end_time": 1472.73, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 213, "text": "Use one thing and get it done.", "raw_text": "Use one thing and get it done.", "start_time": 1472.73, "end_time": 1474.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 214, "text": "It's kind of the classic if you're holding a hammer everything looks like a nail.", "raw_text": "It's kind of the classic if you're holding a hammer everything looks like a nail.", "start_time": 1474.33, "end_time": 1477.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 215, "text": "But once you start understanding some of the applied use cases for each of them and start spreading it out with the hooks and then the commands.", "raw_text": "But once you start understanding some of the applied use cases for each of them and start spreading it out with the hooks and then the commands.", "start_time": 1477.29, "end_time": 1484.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 216, "text": "We've seen some serious productivity gains so we're working on putting that in spark and like delivery for everyone.", "raw_text": "We've seen some serious productivity gains so we're working on putting that in spark and like delivery for everyone.", "start_time": 1484.82, "end_time": 1490.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 217, "text": "But it's so fast, so rapidly moving.", "raw_text": "But it's so fast, so rapidly moving.", "start_time": 1491.3, "end_time": 1493.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 218, "text": "Experiment side projects, delivery, come up with new ways.", "raw_text": "Experiment side projects, delivery, come up with new ways.", "start_time": 1494.58, "end_time": 1498.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 219, "text": "Talk to your manager, your squad and just share ideas on this is kind of what we're asking encouraging to do.", "raw_text": "Talk to your manager, your squad and just share ideas on this is kind of what we're asking encouraging to do.", "start_time": 1498.22, "end_time": 1505.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 220, "text": "And then also anthropic training has some good ideas on it.", "raw_text": "And then also anthropic training has some good ideas on it.", "start_time": 1505.06, "end_time": 1508.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 221, "text": "The second one, the building with the.", "raw_text": "The second one, the building with the.", "start_time": 1509.3, "end_time": 1511.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 222, "text": "Cloud API, that's the really long one.", "raw_text": "Cloud API, that's the really long one.", "start_time": 1511.1, "end_time": 1513.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 223, "text": "A lot of that is pretty basic stuff.", "raw_text": "A lot of that is pretty basic stuff.", "start_time": 1514.22, "end_time": 1516.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 224, "text": "Most of you guys, if you built a full stack app and help deliver it here, you know it's 85 lessons.", "raw_text": "Most of you guys, if you built a full stack app and help deliver it here, you know it's 85 lessons.", "start_time": 1516.34, "end_time": 1522.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 225, "text": "Each one's not that long.", "raw_text": "Each one's not that long.", "start_time": 1522.3, "end_time": 1523.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 226, "text": "You kind of click through it.", "raw_text": "You kind of click through it.", "start_time": 1523.1, "end_time": 1524.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 227, "text": "Most of them you'll probably know.", "raw_text": "Most of them you'll probably know.", "start_time": 1524.7, "end_time": 1526.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 228, "text": "But there are some good sections in there.", "raw_text": "But there are some good sections in there.", "start_time": 1526.38, "end_time": 1528.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 229, "text": "There's like a rag section that was pretty good.", "raw_text": "There's like a rag section that was pretty good.", "start_time": 1528.18, "end_time": 1530.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 230, "text": "There's like they have like a short.", "raw_text": "There's like they have like a short.", "start_time": 1531.5, "end_time": 1533.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 231, "text": "MCP section specifically one that if you're.", "raw_text": "MCP section specifically one that if you're.", "start_time": 1533.42, "end_time": 1536.79, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 232, "text": "Going to take this exam you should probably focus on there.", "raw_text": "Going to take this exam you should probably focus on there.", "start_time": 1536.79, "end_time": 1539.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 233, "text": "There's six areas in the exam which we'll go over.", "raw_text": "There's six areas in the exam which we'll go over.", "start_time": 1539.47, "end_time": 1542.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 234, "text": "There's an area there about multi agent conversations.", "raw_text": "There's an area there about multi agent conversations.", "start_time": 1542.39, "end_time": 1545.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 235, "text": "We don't do that much in production here.", "raw_text": "We don't do that much in production here.", "start_time": 1546.15, "end_time": 1547.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 236, "text": "So that's something you're going to want to study and we can go over it.", "raw_text": "So that's something you're going to want to study and we can go over it.", "start_time": 1548.47, "end_time": 1551.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 237, "text": "They have a section there, we'll come back.", "raw_text": "They have a section there, we'll come back.", "start_time": 1551.83, "end_time": 1556.35, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 238, "text": "Anyone.", "raw_text": "Anyone.", "start_time": 1556.35, "end_time": 1556.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 239, "text": "Does anyone else who's done the training have anything else to say about?", "raw_text": "Does anyone else who's done the training have anything else to say about?", "start_time": 1556.83, "end_time": 1559.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 240, "text": "I mean a lot of times I knew some things but Ethan still prayed for building with the CL really long.", "raw_text": "I mean a lot of times I knew some things but Ethan still prayed for building with the CL really long.", "start_time": 1565.6, "end_time": 1574.08, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 241, "text": "But it's, it's not.", "raw_text": "But it's, it's not.", "start_time": 1574.08, "end_time": 1575.28, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 242, "text": "But it's also perfect thing to do if you're in between, you're waiting on, got your quad code queued up and it's, that's what a lot of us kind of did and just like do it as a second process or dive into it for training.", "raw_text": "But it's also perfect thing to do if you're in between, you're waiting on, got your quad code queued up and it's, that's what a lot of us kind of did and just like do it as a second process or dive into it for training.", "start_time": 1578.56, "end_time": 1589.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 243, "text": "So extra task to do.", "raw_text": "So extra task to do.", "start_time": 1589.3, "end_time": 1591.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 244, "text": "So now to the exam.", "raw_text": "So now to the exam.", "start_time": 1593.78, "end_time": 1595.62, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 245, "text": "So the exam, it's 60 questions in 120 minutes.", "raw_text": "So the exam, it's 60 questions in 120 minutes.", "start_time": 1596.42, "end_time": 1600.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 246, "text": "And I will admit there's a lot of reading on it.", "raw_text": "And I will admit there's a lot of reading on it.", "start_time": 1600.58, "end_time": 1602.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 247, "text": "Like you kind of got to know your stuff.", "raw_text": "Like you kind of got to know your stuff.", "start_time": 1602.98, "end_time": 1604.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 248, "text": "Luckily they're all multiple choice, but I.", "raw_text": "Luckily they're all multiple choice, but I.", "start_time": 1605.38, "end_time": 1609.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 249, "text": "Will admit they're kind of.", "raw_text": "Will admit they're kind of.", "start_time": 1609.26, "end_time": 1610.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 250, "text": "So there's quizzes you do in the training and we were thinking it'd be like the quiz questions in the training.", "raw_text": "So there's quizzes you do in the training and we were thinking it'd be like the quiz questions in the training.", "start_time": 1611.06, "end_time": 1616.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 251, "text": "Is like so easy.", "raw_text": "Is like so easy.", "start_time": 1616.63, "end_time": 1617.67, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 252, "text": "Like you, you could just not do the training and answer switch questions.", "raw_text": "Like you, you could just not do the training and answer switch questions.", "start_time": 1617.67, "end_time": 1620.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 253, "text": "We were able to do that.", "raw_text": "We were able to do that.", "start_time": 1621.27, "end_time": 1622.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 254, "text": "But the architect exams, they're a little.", "raw_text": "But the architect exams, they're a little.", "start_time": 1622.79, "end_time": 1625.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 255, "text": "Bit harder because they're all like applied and it's like four questions and like two or three of them are right.", "raw_text": "Bit harder because they're all like applied and it's like four questions and like two or three of them are right.", "start_time": 1625.71, "end_time": 1630.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 256, "text": "You have to pick the best one just to start to figure out what does the best mean to them.", "raw_text": "You have to pick the best one just to start to figure out what does the best mean to them.", "start_time": 1630.67, "end_time": 1634.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 257, "text": "So that's kind of a little bit of game theory in there.", "raw_text": "So that's kind of a little bit of game theory in there.", "start_time": 1635.35, "end_time": 1637.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 258, "text": "You have to pass with the 720.", "raw_text": "You have to pass with the 720.", "start_time": 1638.55, "end_time": 1641.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 259, "text": "So like I, I think it's like.", "raw_text": "So like I, I think it's like.", "start_time": 1641.47, "end_time": 1643.88, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 260, "text": "70% Or something like that.", "raw_text": "70% Or something like that.", "start_time": 1643.88, "end_time": 1645.56, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 261, "text": "I think it goes from the percentage but you know, somewhere around that ballpark.", "raw_text": "I think it goes from the percentage but you know, somewhere around that ballpark.", "start_time": 1645.56, "end_time": 1649.2, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 262, "text": "So you can get, you get a fair amount wrong because you know it's.", "raw_text": "So you can get, you get a fair amount wrong because you know it's.", "start_time": 1649.2, "end_time": 1651.4, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 263, "text": "Pretty tough and how.", "raw_text": "Pretty tough and how.", "start_time": 1651.4, "end_time": 1653.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 264, "text": "The way it comes over is 2, 4.", "raw_text": "The way it comes over is 2, 4.", "start_time": 1653.44, "end_time": 1656.12, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 265, "text": "I think I have a better slide here.", "raw_text": "I think I have a better slide here.", "start_time": 1656.28, "end_time": 1657.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 266, "text": "So there's six scenarios.", "raw_text": "So there's six scenarios.", "start_time": 1657.88, "end_time": 1659.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 267, "text": "So the way that they do this is there's six total scenarios.", "raw_text": "So the way that they do this is there's six total scenarios.", "start_time": 1659.4, "end_time": 1663.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 268, "text": "At each of these you would get four of the six and then each scenario you get 15 questions.", "raw_text": "At each of these you would get four of the six and then each scenario you get 15 questions.", "start_time": 1663.84, "end_time": 1668.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 269, "text": "So when you take your exam, you could have co generation multi agent research and then these two and you get 15 from each.", "raw_text": "So when you take your exam, you could have co generation multi agent research and then these two and you get 15 from each.", "start_time": 1669.07, "end_time": 1677.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 270, "text": "So when you do the practice exam, it'll also randomly do it.", "raw_text": "So when you do the practice exam, it'll also randomly do it.", "start_time": 1677.47, "end_time": 1680.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 271, "text": "So if you do the practice exam one time, so you get the first four, then you take the actual exam, you get the last four.", "raw_text": "So if you do the practice exam one time, so you get the first four, then you take the actual exam, you get the last four.", "start_time": 1680.75, "end_time": 1685.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 272, "text": "You can see you'd be out of sig.", "raw_text": "You can see you'd be out of sig.", "start_time": 1685.95, "end_time": 1687.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 273, "text": "So you got to do a couple.", "raw_text": "So you got to do a couple.", "start_time": 1687.39, "end_time": 1688.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 274, "text": "Rounds of practice exam and start looking over these topics.", "raw_text": "Rounds of practice exam and start looking over these topics.", "start_time": 1688.31, "end_time": 1691.63, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 275, "text": "So the topics included here is the customer support resolution agent.", "raw_text": "So the topics included here is the customer support resolution agent.", "start_time": 1691.95, "end_time": 1695.87, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 276, "text": "And so they want you to know.", "raw_text": "And so they want you to know.", "start_time": 1696.45, "end_time": 1698.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 277, "text": "Their SDK and their MCP tools and reminder.", "raw_text": "Their SDK and their MCP tools and reminder.", "start_time": 1698.45, "end_time": 1702.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 278, "text": "Anthropic is the one who came out with the MCP protocol.", "raw_text": "Anthropic is the one who came out with the MCP protocol.", "start_time": 1702.33, "end_time": 1705.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 279, "text": "So they bring it up a lot.", "raw_text": "So they bring it up a lot.", "start_time": 1705.01, "end_time": 1706.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 280, "text": "Actually it's very worth knowing because we're doing a lot with it in kind of foundation on data platform and a lot of our customers Ask about mcps often we should do.", "raw_text": "Actually it's very worth knowing because we're doing a lot with it in kind of foundation on data platform and a lot of our customers Ask about mcps often we should do.", "start_time": 1706.69, "end_time": 1717.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 281, "text": "Maybe that could be a show and tell topic actually is some of the MCP stuff.", "raw_text": "Maybe that could be a show and tell topic actually is some of the MCP stuff.", "start_time": 1718.37, "end_time": 1723.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 282, "text": "But building and using MCP would be a suggested action.", "raw_text": "But building and using MCP would be a suggested action.", "start_time": 1723.57, "end_time": 1726.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 283, "text": "Cloud code hopefully all of us are using cloud code.", "raw_text": "Cloud code hopefully all of us are using cloud code.", "start_time": 1727.81, "end_time": 1730.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 284, "text": "Maybe you're also using codecs and other harnesses.", "raw_text": "Maybe you're also using codecs and other harnesses.", "start_time": 1731.01, "end_time": 1733.21, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 285, "text": "But cloud code is something I feel.", "raw_text": "But cloud code is something I feel.", "start_time": 1733.21, "end_time": 1734.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 286, "text": "Like we have good familiarity with the.", "raw_text": "Like we have good familiarity with the.", "start_time": 1734.77, "end_time": 1736.89, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 287, "text": "Multi agent research system.", "raw_text": "Multi agent research system.", "start_time": 1736.89, "end_time": 1738.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 288, "text": "I don't think we've deployed many of those.", "raw_text": "I don't think we've deployed many of those.", "start_time": 1739.57, "end_time": 1741.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 289, "text": "I know I've worked on them somewhat but that might be one we could do a session on.", "raw_text": "I know I've worked on them somewhat but that might be one we could do a session on.", "start_time": 1741.25, "end_time": 1745.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 290, "text": "Maybe we could do a little bit like I could help.", "raw_text": "Maybe we could do a little bit like I could help.", "start_time": 1745.49, "end_time": 1747.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 291, "text": "We could help speed you guys up on that one.", "raw_text": "We could help speed you guys up on that one.", "start_time": 1747.57, "end_time": 1749.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 292, "text": "The dev productivity.", "raw_text": "The dev productivity.", "start_time": 1750.86, "end_time": 1752.06, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 293, "text": "I would suggest just learning how all the different tools inside the cloud works.", "raw_text": "I would suggest just learning how all the different tools inside the cloud works.", "start_time": 1752.94, "end_time": 1756.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 294, "text": "So it's cool because it works in the the harness of like where it does.", "raw_text": "So it's cool because it works in the the harness of like where it does.", "start_time": 1756.54, "end_time": 1759.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 295, "text": "If you ask cloud for something it doesn't have context.", "raw_text": "If you ask cloud for something it doesn't have context.", "start_time": 1759.94, "end_time": 1762.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 296, "text": "It will use one of its tools.", "raw_text": "It will use one of its tools.", "start_time": 1762.3, "end_time": 1763.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 297, "text": "So it can like globally search your code base.", "raw_text": "So it can like globally search your code base.", "start_time": 1763.74, "end_time": 1765.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 298, "text": "It can, it can grep, read, write, search the web.", "raw_text": "It can, it can grep, read, write, search the web.", "start_time": 1765.9, "end_time": 1769.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 299, "text": "Those are just like its tools category.", "raw_text": "Those are just like its tools category.", "start_time": 1769.62, "end_time": 1771.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 300, "text": "And then it's not just a direct.", "raw_text": "And then it's not just a direct.", "start_time": 1771.5, "end_time": 1773.74, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 301, "text": "Tool and it needs to store some type of context on how to do something then you have a skill and so just kind of learning those differences and how to apply them is really useful in day to day developing anyways.", "raw_text": "Tool and it needs to store some type of context on how to do something then you have a skill and so just kind of learning those differences and how to apply them is really useful in day to day developing anyways.", "start_time": 1773.82, "end_time": 1784.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 302, "text": "CICD and data extraction don't look through.", "raw_text": "CICD and data extraction don't look through.", "start_time": 1785.77, "end_time": 1789.33, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 303, "text": "Those ones overall between all six categories and then my goal here be wrap this up but we can open up to discussion about any of the training or anthropic things in general.", "raw_text": "Those ones overall between all six categories and then my goal here be wrap this up but we can open up to discussion about any of the training or anthropic things in general.", "start_time": 1789.33, "end_time": 1800.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 304, "text": "I think this is a good takeaway and this isn't just.", "raw_text": "I think this is a good takeaway and this isn't just.", "start_time": 1801.61, "end_time": 1804.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 305, "text": "Again this isn't just okay, only you need to know this if you're going to take this exam.", "raw_text": "Again this isn't just okay, only you need to know this if you're going to take this exam.", "start_time": 1805.22, "end_time": 1808.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 306, "text": "These are things that anthropic is positioned.", "raw_text": "These are things that anthropic is positioned.", "start_time": 1809.06, "end_time": 1811.94, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 307, "text": "To be one of the most valuable.", "raw_text": "To be one of the most valuable.", "start_time": 1811.94, "end_time": 1814.42, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 308, "text": "Companies in the world.", "raw_text": "Companies in the world.", "start_time": 1814.42, "end_time": 1815.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 309, "text": "And Dario Amader, CEO all he talks about, he says exponential a lot and he kind of seems cracked up a little bit when you listen to him.", "raw_text": "And Dario Amader, CEO all he talks about, he says exponential a lot and he kind of seems cracked up a little bit when you listen to him.", "start_time": 1815.46, "end_time": 1824.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 310, "text": "But one of his the biggest problem that the CEOs of the huge tech companies are talking right now about about is diffusion of the technology.", "raw_text": "But one of his the biggest problem that the CEOs of the huge tech companies are talking right now about about is diffusion of the technology.", "start_time": 1824.74, "end_time": 1832.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 311, "text": "So actually spreading out this new technology and they need us, they need people who know how to take the LLM on the API and apply it.", "raw_text": "So actually spreading out this new technology and they need us, they need people who know how to take the LLM on the API and apply it.", "start_time": 1833.17, "end_time": 1843.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 312, "text": "The value is in the repper because yeah, these guys are burning all this money and creating these sweet models like Mythos.", "raw_text": "The value is in the repper because yeah, these guys are burning all this money and creating these sweet models like Mythos.", "start_time": 1843.17, "end_time": 1848.61, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 313, "text": "But someone's gotta go walk to every MRP and Entwine and System 4 and JMI and tell them how to apply because any of you who have interacted with our Clients know that they are not going to figure that out if we don't help them like they're or they're going to have to find someone else who's going to come in and teach them.", "raw_text": "But someone's gotta go walk to every MRP and Entwine and System 4 and JMI and tell them how to apply because any of you who have interacted with our Clients know that they are not going to figure that out if we don't help them like they're or they're going to have to find someone else who's going to come in and teach them.", "start_time": 1848.77, "end_time": 1866.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 314, "text": "So the opportunity is in our hands.", "raw_text": "So the opportunity is in our hands.", "start_time": 1866.18, "end_time": 1868.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 315, "text": "And anthropic OpenAI they know that that's.", "raw_text": "And anthropic OpenAI they know that that's.", "start_time": 1868.5, "end_time": 1871.38, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 316, "text": "Why this program exists.", "raw_text": "Why this program exists.", "start_time": 1871.38, "end_time": 1872.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 317, "text": "They pledged $100 million just to fund the beginning of this and that that will continue to come.", "raw_text": "They pledged $100 million just to fund the beginning of this and that that will continue to come.", "start_time": 1872.58, "end_time": 1878.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 318, "text": "So this is a large priority and it's an obvious problem.", "raw_text": "So this is a large priority and it's an obvious problem.", "start_time": 1878.42, "end_time": 1881.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 319, "text": "So that puts us as an AI native service company in a good spot.", "raw_text": "So that puts us as an AI native service company in a good spot.", "start_time": 1881.3, "end_time": 1885.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 320, "text": "So especially if we double down on this.", "raw_text": "So especially if we double down on this.", "start_time": 1885.38, "end_time": 1887.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 321, "text": "So these patterns, they're putting this training out because they quad code and cursor have the most proprietary information of data used ever of good code bases because we're all using it.", "raw_text": "So these patterns, they're putting this training out because they quad code and cursor have the most proprietary information of data used ever of good code bases because we're all using it.", "start_time": 1887.37, "end_time": 1899.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 322, "text": "Everyone who's a good engineer right now is dumping all their stuff in there.", "raw_text": "Everyone who's a good engineer right now is dumping all their stuff in there.", "start_time": 1899.33, "end_time": 1902.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 323, "text": "And so they've learned from those patterns and they're trying to apply them.", "raw_text": "And so they've learned from those patterns and they're trying to apply them.", "start_time": 1902.17, "end_time": 1905.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 324, "text": "So their training and the pattern recognition is very much worth studying.", "raw_text": "So their training and the pattern recognition is very much worth studying.", "start_time": 1905.61, "end_time": 1910.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 325, "text": "And so overall you are kind of the patterns that cut across each of the domains.", "raw_text": "And so overall you are kind of the patterns that cut across each of the domains.", "start_time": 1910.57, "end_time": 1914.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 326, "text": "From analyzing the questions we made my read for those of you who don't know my younger brother, he's an intern, we made him run through the exam and take all of the questions and he was, I don't know if I have the slide on here.", "raw_text": "From analyzing the questions we made my read for those of you who don't know my younger brother, he's an intern, we made him run through the exam and take all of the questions and he was, I don't know if I have the slide on here.", "start_time": 1914.9, "end_time": 1927.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 327, "text": "He said this is depressing in all caps.", "raw_text": "He said this is depressing in all caps.", "start_time": 1928.3, "end_time": 1931.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 328, "text": "And he took a lot of the exam questions.", "raw_text": "And he took a lot of the exam questions.", "start_time": 1931.58, "end_time": 1934.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 329, "text": "Me and Justin, I would say too.", "raw_text": "Me and Justin, I would say too.", "start_time": 1934.3, "end_time": 1936.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 330, "text": "Me and Justin for like the original training so could just take them right away but cold.", "raw_text": "Me and Justin for like the original training so could just take them right away but cold.", "start_time": 1936.78, "end_time": 1941.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 331, "text": "I mean we missed a couple and a lot of that was because there's like multiple right answers.", "raw_text": "I mean we missed a couple and a lot of that was because there's like multiple right answers.", "start_time": 1941.43, "end_time": 1946.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 332, "text": "So then going back a slide, this.", "raw_text": "So then going back a slide, this.", "start_time": 1946.75, "end_time": 1949.91, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 333, "text": "Is what we kind of came up with with helping us pick out the right answer.", "raw_text": "Is what we kind of came up with with helping us pick out the right answer.", "start_time": 1949.91, "end_time": 1953.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 334, "text": "So for instance like there is a question and it's like how can you most effectively solve this problem?", "raw_text": "So for instance like there is a question and it's like how can you most effectively solve this problem?", "start_time": 1953.31, "end_time": 1958.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 335, "text": "Effectively is a tough word.", "raw_text": "Effectively is a tough word.", "start_time": 1958.67, "end_time": 1960.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 336, "text": "You're like well three of these are.", "raw_text": "You're like well three of these are.", "start_time": 1960.43, "end_time": 1962.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 337, "text": "They could work but in that scenario they meant performance over cost.", "raw_text": "They could work but in that scenario they meant performance over cost.", "start_time": 1962.27, "end_time": 1965.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 338, "text": "And so they care a lot about performance over cost.", "raw_text": "And so they care a lot about performance over cost.", "start_time": 1966.45, "end_time": 1968.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 339, "text": "But then also these patterns will help in general.", "raw_text": "But then also these patterns will help in general.", "start_time": 1969.17, "end_time": 1971.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 340, "text": "So a lot of the times they're looking fix the root cause, not the symptom.", "raw_text": "So a lot of the times they're looking fix the root cause, not the symptom.", "start_time": 1971.57, "end_time": 1975.65, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 341, "text": "So don't look for red herrings.", "raw_text": "So don't look for red herrings.", "start_time": 1975.65, "end_time": 1977.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 342, "text": "Good advice for your day to day programming as well.", "raw_text": "Good advice for your day to day programming as well.", "start_time": 1977.97, "end_time": 1980.85, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 343, "text": "Same thing, the coordinator owns all decisions.", "raw_text": "Same thing, the coordinator owns all decisions.", "start_time": 1981.73, "end_time": 1984.53, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 344, "text": "That's a little hint when you start looking into the multi agent systems.", "raw_text": "That's a little hint when you start looking into the multi agent systems.", "start_time": 1985.01, "end_time": 1988.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 345, "text": "So for multi agent systems you have a coordinator and the coordinator basically spins.", "raw_text": "So for multi agent systems you have a coordinator and the coordinator basically spins.", "start_time": 1988.45, "end_time": 1992.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 346, "text": "Up these sub agents which this is also good to think about it used.", "raw_text": "Up these sub agents which this is also good to think about it used.", "start_time": 1992.77, "end_time": 1997.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 347, "text": "To be I'll be in college two years ago I was doing a project where these agents first came out and it was just this was just nonsensical because the models weren't good and you're just spending a lot of money.", "raw_text": "To be I'll be in college two years ago I was doing a project where these agents first came out and it was just this was just nonsensical because the models weren't good and you're just spending a lot of money.", "start_time": 1997.2, "end_time": 2006.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 348, "text": "But now it works pretty well.", "raw_text": "But now it works pretty well.", "start_time": 2006.4, "end_time": 2007.72, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 349, "text": "And an example of this is when.", "raw_text": "And an example of this is when.", "start_time": 2007.72, "end_time": 2010.16, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 350, "text": "You actually are using cloud code.", "raw_text": "You actually are using cloud code.", "start_time": 2010.16, "end_time": 2011.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 351, "text": "Have you guys played around with sub agents from ahead?", "raw_text": "Have you guys played around with sub agents from ahead?", "start_time": 2012.72, "end_time": 2015.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 352, "text": "So sub agents are like say I'm.", "raw_text": "So sub agents are like say I'm.", "start_time": 2016.08, "end_time": 2018.32, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 353, "text": "In cloud code and I want to double check some type of documentation, but.", "raw_text": "In cloud code and I want to double check some type of documentation, but.", "start_time": 2018.32, "end_time": 2023.21, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 354, "text": "I want to search it well.", "raw_text": "I want to search it well.", "start_time": 2023.21, "end_time": 2024.57, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 355, "text": "If you use your actual conversation history to go search some random Linux driver,.", "raw_text": "If you use your actual conversation history to go search some random Linux driver,.", "start_time": 2024.57, "end_time": 2029.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 356, "text": "It's going to muddy up your context window.", "raw_text": "It's going to muddy up your context window.", "start_time": 2029.25, "end_time": 2032.45, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 357, "text": "So you can set up a sub agent to just go do that task and then only returns to your original.", "raw_text": "So you can set up a sub agent to just go do that task and then only returns to your original.", "start_time": 2032.45, "end_time": 2037.17, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 358, "text": "Context the answer that's much cleaner because.", "raw_text": "Context the answer that's much cleaner because.", "start_time": 2037.49, "end_time": 2041.57, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 359, "text": "Your context window is gold.", "raw_text": "Your context window is gold.", "start_time": 2041.65, "end_time": 2043.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 360, "text": "It's the only thing you can really control and want it to be good for the model.", "raw_text": "It's the only thing you can really control and want it to be good for the model.", "start_time": 2043.13, "end_time": 2046.05, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 361, "text": "And so the coordinator multi agent thing, it's applying it to larger systems.", "raw_text": "And so the coordinator multi agent thing, it's applying it to larger systems.", "start_time": 2046.45, "end_time": 2051.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 362, "text": "So full on multi step workflows so.", "raw_text": "So full on multi step workflows so.", "start_time": 2051.69, "end_time": 2055.33, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 363, "text": "The coordinator owns the decisions that's in.", "raw_text": "The coordinator owns the decisions that's in.", "start_time": 2055.33, "end_time": 2057.77, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 364, "text": "Like so many different questions.", "raw_text": "Like so many different questions.", "start_time": 2057.77, "end_time": 2059.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 365, "text": "And then two they ask you about certain error types.", "raw_text": "And then two they ask you about certain error types.", "start_time": 2059.01, "end_time": 2061.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 366, "text": "But if you take the test you'll start to understand it.", "raw_text": "But if you take the test you'll start to understand it.", "start_time": 2061.09, "end_time": 2063.29, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 367, "text": "But honestly it's good studying in general.", "raw_text": "But honestly it's good studying in general.", "start_time": 2063.29, "end_time": 2065.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 368, "text": "The rest of these two are also good for the rest of our developing.", "raw_text": "The rest of these two are also good for the rest of our developing.", "start_time": 2066.61, "end_time": 2070.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 369, "text": "With prompt engineering before infrastructure this is.", "raw_text": "With prompt engineering before infrastructure this is.", "start_time": 2070.37, "end_time": 2074.2, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 370, "text": "Kind of a loaded one which we could, we can unpack to a longer lunch and learn.", "raw_text": "Kind of a loaded one which we could, we can unpack to a longer lunch and learn.", "start_time": 2074.2, "end_time": 2077.44, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 371, "text": "But oftentimes thinking about if you're in a system or a position to be able to actually architect these AI systems or you're looking over what we've we've built out.", "raw_text": "But oftentimes thinking about if you're in a system or a position to be able to actually architect these AI systems or you're looking over what we've we've built out.", "start_time": 2077.44, "end_time": 2085.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 372, "text": "The one way to think about it.", "raw_text": "The one way to think about it.", "start_time": 2086.72, "end_time": 2088.16, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 373, "text": "Is what's the most amount of effort.", "raw_text": "Is what's the most amount of effort.", "start_time": 2088.24, "end_time": 2090.68, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 374, "text": "You have to put in for the results you get back.", "raw_text": "You have to put in for the results you get back.", "start_time": 2090.68, "end_time": 2092.64, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 375, "text": "So the easiest thing for us to change with AI is just prompt.", "raw_text": "So the easiest thing for us to change with AI is just prompt.", "start_time": 2092.64, "end_time": 2095.84, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 376, "text": "So if you can change the prompt that first but then next is you can do few shot prompting which that was something we were talking about in the safeguard example.", "raw_text": "So if you can change the prompt that first but then next is you can do few shot prompting which that was something we were talking about in the safeguard example.", "start_time": 2095.92, "end_time": 2104.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 377, "text": "If we had a workflow and we were trying to have it like do a order and list them out, it had images of things it needed to do as work orders and we gave it like a JSON library.", "raw_text": "If we had a workflow and we were trying to have it like do a order and list them out, it had images of things it needed to do as work orders and we gave it like a JSON library.", "start_time": 2104.7, "end_time": 2114.86, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 378, "text": "And for instance if you want to do few shot we could say here's the proper way to do this.", "raw_text": "And for instance if you want to do few shot we could say here's the proper way to do this.", "start_time": 2115.18, "end_time": 2119.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 379, "text": "So you put it in and say here's input, here's output, that's few shot.", "raw_text": "So you put it in and say here's input, here's output, that's few shot.", "start_time": 2119.38, "end_time": 2123.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 380, "text": "And then after that you actually use.", "raw_text": "And then after that you actually use.", "start_time": 2123.66, "end_time": 2125.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 381, "text": "Tools and code and manual orchestration and then same Thing here would be using.", "raw_text": "Tools and code and manual orchestration and then same Thing here would be using.", "start_time": 2126.01, "end_time": 2132.01, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 382, "text": "Deterministic over probabilistic meaning.", "raw_text": "Deterministic over probabilistic meaning.", "start_time": 2132.01, "end_time": 2134.89, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 383, "text": "If you know you're going to get the right answer every time for cheaper with actual code, do that instead of inserting AI.", "raw_text": "If you know you're going to get the right answer every time for cheaper with actual code, do that instead of inserting AI.", "start_time": 2134.89, "end_time": 2140.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 384, "text": "Again, good idea for our daily developing practices.", "raw_text": "Again, good idea for our daily developing practices.", "start_time": 2140.649, "end_time": 2143.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 385, "text": "Save some API costs.", "raw_text": "Save some API costs.", "start_time": 2144.57, "end_time": 2146.09, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 386, "text": "And then the main thing is context.", "raw_text": "And then the main thing is context.", "start_time": 2146.41, "end_time": 2148.61, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 387, "text": "Preservation is quality preservation, meaning context is king.", "raw_text": "Preservation is quality preservation, meaning context is king.", "start_time": 2148.61, "end_time": 2152.25, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 388, "text": "Like I said, think about what you're putting in your context.", "raw_text": "Like I said, think about what you're putting in your context.", "start_time": 2152.57, "end_time": 2154.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 389, "text": "Windows.", "raw_text": "Windows.", "start_time": 2154.49, "end_time": 2155.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 390, "text": "I like to joke that what we do is professional markdown management.", "raw_text": "I like to joke that what we do is professional markdown management.", "start_time": 2155.69, "end_time": 2158.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 391, "text": "So just keeping.", "raw_text": "So just keeping.", "start_time": 2159.05, "end_time": 2160.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 392, "text": "But literally just keeping control of what context you're researching and doing is key and they enforce that in their training.", "raw_text": "But literally just keeping control of what context you're researching and doing is key and they enforce that in their training.", "start_time": 2160.25, "end_time": 2167.77, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 393, "text": "So not only is this kind of good stuff for us to study, but it's been good reinforcement of what we've kind of been applying as a company.", "raw_text": "So not only is this kind of good stuff for us to study, but it's been good reinforcement of what we've kind of been applying as a company.", "start_time": 2168.09, "end_time": 2174.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 394, "text": "So that's been good.", "raw_text": "So that's been good.", "start_time": 2174.49, "end_time": 2175.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 395, "text": "But that concludes the content I had.", "raw_text": "But that concludes the content I had.", "start_time": 2176.33, "end_time": 2180.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 396, "text": "I didn't want to like overload too technical of things.", "raw_text": "I didn't want to like overload too technical of things.", "start_time": 2180.18, "end_time": 2182.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 397, "text": "So next steps is I'll open it up to discussion.", "raw_text": "So next steps is I'll open it up to discussion.", "start_time": 2183.3, "end_time": 2187.58, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 398, "text": "If anyone else has questions or thoughts to have and then come talk to me after.", "raw_text": "If anyone else has questions or thoughts to have and then come talk to me after.", "start_time": 2187.58, "end_time": 2191.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 399, "text": "If you want to take the exam, we'll do a study group later.", "raw_text": "If you want to take the exam, we'll do a study group later.", "start_time": 2191.86, "end_time": 2194.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 400, "text": "I'll put out like a study guide so I can help speed up your process.", "raw_text": "I'll put out like a study guide so I can help speed up your process.", "start_time": 2194.7, "end_time": 2197.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 401, "text": "And then hopefully we can start taking these as soon as possible.", "raw_text": "And then hopefully we can start taking these as soon as possible.", "start_time": 2197.78, "end_time": 2200.18, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 402, "text": "And that's.", "raw_text": "And that's.", "start_time": 2201.78, "end_time": 2202.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 403, "text": "Yeah, that's all we have.", "raw_text": "Yeah, that's all we have.", "start_time": 2202.54, "end_time": 2203.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 404, "text": "Right.", "raw_text": "Right.", "start_time": 2206.02, "end_time": 2206.26, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 405, "text": "I mean we can just, we can do that privately.", "raw_text": "I mean we can just, we can do that privately.", "start_time": 2206.98, "end_time": 2209.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 406, "text": "And if 10 people don't sign up, they'll be just voluntold.", "raw_text": "And if 10 people don't sign up, they'll be just voluntold.", "start_time": 2209.82, "end_time": 2212.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 407, "text": "So for the.", "raw_text": "So for the.", "start_time": 2212.42, "end_time": 2213.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 408, "text": "Yes.", "raw_text": "Yes.", "start_time": 2214.42, "end_time": 2214.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 409, "text": "So for the training, does anyone.", "raw_text": "So for the training, does anyone.", "start_time": 2215.38, "end_time": 2217.14, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 410, "text": "Training.", "raw_text": "Training.", "start_time": 2219.22, "end_time": 2219.7, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 411, "text": "Does anybody not intend to do the training?", "raw_text": "Does anybody not intend to do the training?", "start_time": 2221.86, "end_time": 2224.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 412, "text": "That's good.", "raw_text": "That's good.", "start_time": 2225.7, "end_time": 2226.34, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 413, "text": "No answer to good.", "raw_text": "No answer to good.", "start_time": 2226.34, "end_time": 2227.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 414, "text": "So I, I mean you, you could obviously need 10 hands.", "raw_text": "So I, I mean you, you could obviously need 10 hands.", "start_time": 2228.1, "end_time": 2233.45, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 415, "text": "You can go through the training and if you get to the end of it, I'd be surprised for anybody else but any of you.", "raw_text": "You can go through the training and if you get to the end of it, I'd be surprised for anybody else but any of you.", "start_time": 2233.69, "end_time": 2239.69, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 416, "text": "I don't want to try this test.", "raw_text": "I don't want to try this test.", "start_time": 2240.49, "end_time": 2242.01, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 417, "text": "This is too hard.", "raw_text": "This is too hard.", "start_time": 2242.41, "end_time": 2243.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 418, "text": "But I'd say start the training and then as quickly as you can, let case know.", "raw_text": "But I'd say start the training and then as quickly as you can, let case know.", "start_time": 2244.49, "end_time": 2250.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 419, "text": "But this is obviously incredibly important.", "raw_text": "But this is obviously incredibly important.", "start_time": 2252.09, "end_time": 2254.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 420, "text": "A lot of we're doing we figured out ahead of time of growth for us.", "raw_text": "A lot of we're doing we figured out ahead of time of growth for us.", "start_time": 2254.89, "end_time": 2260.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 421, "text": "But for this, everybody does training and get all the people.", "raw_text": "But for this, everybody does training and get all the people.", "start_time": 2260.26, "end_time": 2264.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 422, "text": "This is a $50,000 investment we're going to make from an executive perspective, I'm saying in the next department.", "raw_text": "This is a $50,000 investment we're going to make from an executive perspective, I'm saying in the next department.", "start_time": 2264.38, "end_time": 2270.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 423, "text": "So it's important to know that it's important.", "raw_text": "So it's important to know that it's important.", "start_time": 2271.46, "end_time": 2273.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 424, "text": "The other thing is you get a cert.", "raw_text": "The other thing is you get a cert.", "start_time": 2274.82, "end_time": 2276.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 425, "text": "You can put it on your LinkedIn.", "raw_text": "You can put it on your LinkedIn.", "start_time": 2276.22, "end_time": 2277.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 426, "text": "The test cost $100, but for us we get a discount for 50 and then we more or less paying.", "raw_text": "The test cost $100, but for us we get a discount for 50 and then we more or less paying.", "start_time": 2277.3, "end_time": 2282.46, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 427, "text": "So what do the exam, if you.", "raw_text": "So what do the exam, if you.", "start_time": 2282.46, "end_time": 2285.7, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 428, "text": "Want, I'd recommend it to each of you individually to just do the exam.", "raw_text": "Want, I'd recommend it to each of you individually to just do the exam.", "start_time": 2285.7, "end_time": 2289.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 429, "text": "But you just got to find, find your own time to work on the studying.", "raw_text": "But you just got to find, find your own time to work on the studying.", "start_time": 2289.94, "end_time": 2293.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 430, "text": "And if anyone's any questions, any concerns,.", "raw_text": "And if anyone's any questions, any concerns,.", "start_time": 2293.34, "end_time": 2296.22, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 431, "text": "Anything like that, let me know.", "raw_text": "Anything like that, let me know.", "start_time": 2296.22, "end_time": 2297.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 432, "text": "I'll do whatever I can to help you.", "raw_text": "I'll do whatever I can to help you.", "start_time": 2297.86, "end_time": 2299.62, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 433, "text": "I have a question about the exam.", "raw_text": "I have a question about the exam.", "start_time": 2300.26, "end_time": 2302.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 434, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2302.5, "end_time": 2302.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 435, "text": "Do we have to like schedule it and how many attempts do you, etc.", "raw_text": "Do we have to like schedule it and how many attempts do you, etc.", "start_time": 2302.82, "end_time": 2306.58, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 436, "text": "Yeah, so you do have to schedule it and it's proctored and proctor dean were trying to figure out.", "raw_text": "Yeah, so you do have to schedule it and it's proctored and proctor dean were trying to figure out.", "start_time": 2307.3, "end_time": 2311.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 437, "text": "I think it's one of those exams where like you got to show your surroundings and then like show a picture of your ID and then they like watch it.", "raw_text": "I think it's one of those exams where like you got to show your surroundings and then like show a picture of your ID and then they like watch it.", "start_time": 2311.99, "end_time": 2318.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 438, "text": "And then the practice exam you're getting live feedback but for the actual exam it's a seven day wait period to process your results.", "raw_text": "And then the practice exam you're getting live feedback but for the actual exam it's a seven day wait period to process your results.", "start_time": 2318.03, "end_time": 2324.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 439, "text": "I don't know exactly why, but yeah,.", "raw_text": "I don't know exactly why, but yeah,.", "start_time": 2325.39, "end_time": 2328.31, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 440, "text": "So we take the exam, we have to wait seven days to hear back.", "raw_text": "So we take the exam, we have to wait seven days to hear back.", "start_time": 2328.31, "end_time": 2330.99, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 441, "text": "And like that's, we, we were kind of thinking that we could just, I could just take the exam 10 times but it turns out it's not gonna work so we all are gonna have to individually do it.", "raw_text": "And like that's, we, we were kind of thinking that we could just, I could just take the exam 10 times but it turns out it's not gonna work so we all are gonna have to individually do it.", "start_time": 2331.39, "end_time": 2342.98, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 442, "text": "But also I would say studying for.", "raw_text": "But also I would say studying for.", "start_time": 2343.54, "end_time": 2345.82, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 443, "text": "It's going to be worth it and getting the cert would be good anyways because we just wanted to move this quicker.", "raw_text": "It's going to be worth it and getting the cert would be good anyways because we just wanted to move this quicker.", "start_time": 2345.82, "end_time": 2350.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 444, "text": "So.", "raw_text": "So.", "start_time": 2350.5, "end_time": 2350.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 445, "text": "Yeah, also for retries, there's no retry period as of the moment.", "raw_text": "Yeah, also for retries, there's no retry period as of the moment.", "start_time": 2350.9, "end_time": 2354.26, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 446, "text": "Like I said, we know we get, you get one and take it.", "raw_text": "Like I said, we know we get, you get one and take it.", "start_time": 2354.26, "end_time": 2356.5, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 447, "text": "But seven, it's pass or fail and a 720 passes, which I don't know exactly.", "raw_text": "But seven, it's pass or fail and a 720 passes, which I don't know exactly.", "start_time": 2356.5, "end_time": 2362.98, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 448, "text": "I think it's like 70%.", "raw_text": "I think it's like 70%.", "start_time": 2362.98, "end_time": 2364.02, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 449, "text": "And I would say me and Justin were both kind of on par with that without reading any of the things.", "raw_text": "And I would say me and Justin were both kind of on par with that without reading any of the things.", "start_time": 2364.9, "end_time": 2369.42, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 450, "text": "But then once you read through and start to see the patterns, we were able to get like 15 out of 15 on the practice test.", "raw_text": "But then once you read through and start to see the patterns, we were able to get like 15 out of 15 on the practice test.", "start_time": 2369.42, "end_time": 2375.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 451, "text": "Like 14 to 15 out of 15,.", "raw_text": "Like 14 to 15 out of 15,.", "start_time": 2375.34, "end_time": 2378.1, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 452, "text": "There's, there's always a couple.", "raw_text": "There's, there's always a couple.", "start_time": 2378.1, "end_time": 2379.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 453, "text": "So it's pretty reasonable.", "raw_text": "So it's pretty reasonable.", "start_time": 2379.38, "end_time": 2381.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 454, "text": "But yeah, you definitely, I will admit we thought that like all we talk about is AI stuff.", "raw_text": "But yeah, you definitely, I will admit we thought that like all we talk about is AI stuff.", "start_time": 2382.34, "end_time": 2387.22, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 455, "text": "So like we'll be able to figure this out right away.", "raw_text": "So like we'll be able to figure this out right away.", "start_time": 2387.22, "end_time": 2388.9, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 456, "text": "But then they're like these relative questions.", "raw_text": "But then they're like these relative questions.", "start_time": 2388.9, "end_time": 2390.82, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 457, "text": "So you kind of have to figure out what they're talking about.", "raw_text": "So you kind of have to figure out what they're talking about.", "start_time": 2390.82, "end_time": 2393.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 458, "text": "And if you get the context one, Justin said just assume anything that says context one is what they want because they seem to really like this when you said an individual person can't retest.", "raw_text": "And if you get the context one, Justin said just assume anything that says context one is what they want because they seem to really like this when you said an individual person can't retest.", "start_time": 2393.79, "end_time": 2406.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 459, "text": "But if out of like our 10 people who take it only five tasks, do we just get five more people?", "raw_text": "But if out of like our 10 people who take it only five tasks, do we just get five more people?", "start_time": 2406.27, "end_time": 2411.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 460, "text": "Yeah, like, yeah, I don't think we have a limit on that.", "raw_text": "Yeah, like, yeah, I don't think we have a limit on that.", "start_time": 2411.31, "end_time": 2414.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 461, "text": "So yeah, it's like, like, like if I fail, I think King's name's out.", "raw_text": "So yeah, it's like, like, like if I fail, I think King's name's out.", "start_time": 2414.27, "end_time": 2417.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 462, "text": "Then like Clinton said test.", "raw_text": "Then like Clinton said test.", "start_time": 2417.67, "end_time": 2419.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 463, "text": "So I think that's kind of how we're thinking.", "raw_text": "So I think that's kind of how we're thinking.", "start_time": 2419.39, "end_time": 2420.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 464, "text": "So we need at least 10 for this initial batch, but I don't see why I wouldn't open it to more people.", "raw_text": "So we need at least 10 for this initial batch, but I don't see why I wouldn't open it to more people.", "start_time": 2421.03, "end_time": 2426.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 465, "text": "It'd be beneficial for you and all of us to take it.", "raw_text": "It'd be beneficial for you and all of us to take it.", "start_time": 2426.15, "end_time": 2429.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 466, "text": "So anyone who wants to take the.", "raw_text": "So anyone who wants to take the.", "start_time": 2429.19, "end_time": 2431.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 467, "text": "Exam is going to be the opportunity.", "raw_text": "Exam is going to be the opportunity.", "start_time": 2431.15, "end_time": 2433.07, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 468, "text": "To take the exam.", "raw_text": "To take the exam.", "start_time": 2433.07, "end_time": 2433.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 469, "text": "Know about how long the training course takes?", "raw_text": "Know about how long the training course takes?", "start_time": 2435.67, "end_time": 2437.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 470, "text": "Yeah, the training.", "raw_text": "Yeah, the training.", "start_time": 2438.31, "end_time": 2439.19, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 471, "text": "So do you mean like the skill jar courses?", "raw_text": "So do you mean like the skill jar courses?", "start_time": 2439.43, "end_time": 2442.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 472, "text": "Yeah, it's like that.", "raw_text": "Yeah, it's like that.", "start_time": 2443.51, "end_time": 2444.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 473, "text": "Yeah, I have that.", "raw_text": "Yeah, I have that.", "start_time": 2445.99, "end_time": 2447.75, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 474, "text": "It, it did take a while.", "raw_text": "It, it did take a while.", "start_time": 2448.23, "end_time": 2449.59, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 475, "text": "I don't.", "raw_text": "I don't.", "start_time": 2449.75, "end_time": 2450.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 476, "text": "What did you.", "raw_text": "What did you.", "start_time": 2451.27, "end_time": 2451.79, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 477, "text": "What would you like?", "raw_text": "What would you like?", "start_time": 2451.79, "end_time": 2452.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 478, "text": "Do you have a ballpark off?", "raw_text": "Do you have a ballpark off?", "start_time": 2452.31, "end_time": 2453.23, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 479, "text": "I was like, it's probably like a day.", "raw_text": "I was like, it's probably like a day.", "start_time": 2453.23, "end_time": 2454.71, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 480, "text": "It was probably like, like a day.", "raw_text": "It was probably like, like a day.", "start_time": 2454.71, "end_time": 2456.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 481, "text": "If you watch like videos or don't watch them.", "raw_text": "If you watch like videos or don't watch them.", "start_time": 2456.07, "end_time": 2458.03, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 482, "text": "Don't watch.", "raw_text": "Don't watch.", "start_time": 2458.03, "end_time": 2458.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 483, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2458.47, "end_time": 2458.95, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 484, "text": "You want me to watch the videos?", "raw_text": "You want me to watch the videos?", "start_time": 2459.03, "end_time": 2460.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 485, "text": "Yeah.", "raw_text": "Yeah.", "start_time": 2463.59, "end_time": 2463.91, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 486, "text": "I was gonna say you could do it.", "raw_text": "I was gonna say you could do it.", "start_time": 2463.91, "end_time": 2465.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 487, "text": "You can do sections.", "raw_text": "You can do sections.", "start_time": 2465.07, "end_time": 2466.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 488, "text": "I tried to actually like read all of it and I think it was about an after like four hours, like intense reading.", "raw_text": "I tried to actually like read all of it and I think it was about an after like four hours, like intense reading.", "start_time": 2468.79, "end_time": 2474.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 489, "text": "And I got about all of it.", "raw_text": "And I got about all of it.", "start_time": 2474.87, "end_time": 2476.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 490, "text": "But you can, you can skim through it.", "raw_text": "But you can, you can skim through it.", "start_time": 2476.15, "end_time": 2477.83, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 491, "text": "Those were like the estimates.", "raw_text": "Those were like the estimates.", "start_time": 2479.11, "end_time": 2480.43, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 492, "text": "If you kind of like follow along call.", "raw_text": "If you kind of like follow along call.", "start_time": 2480.43, "end_time": 2482.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 493, "text": "Just kind of threw those in there.", "raw_text": "Just kind of threw those in there.", "start_time": 2482.31, "end_time": 2483.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 494, "text": "They're not too bad.", "raw_text": "They're not too bad.", "start_time": 2483.39, "end_time": 2484.15, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 495, "text": "And then this building with API one.", "raw_text": "And then this building with API one.", "start_time": 2484.79, "end_time": 2486.39, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 496, "text": "That's a long one but like you.", "raw_text": "That's a long one but like you.", "start_time": 2486.39, "end_time": 2488.35, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 497, "text": "Can, you can skip through a lot.", "raw_text": "Can, you can skip through a lot.", "start_time": 2488.35, "end_time": 2489.59, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 498, "text": "Of that.", "raw_text": "Of that.", "start_time": 2489.59, "end_time": 2489.99, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 499, "text": "Actually, especially if you do the other ones first.", "raw_text": "Actually, especially if you do the other ones first.", "start_time": 2492.63, "end_time": 2495.27, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 500, "text": "Building with API is the old ports that stuff the buckets.", "raw_text": "Building with API is the old ports that stuff the buckets.", "start_time": 2496.39, "end_time": 2500.55, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 501, "text": "So if you do the newer ones, the third ones first sections.", "raw_text": "So if you do the newer ones, the third ones first sections.", "start_time": 2501.35, "end_time": 2504.88, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 502, "text": "Does anyone online have any questions?", "raw_text": "Does anyone online have any questions?", "start_time": 2512.8, "end_time": 2514.44, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 503, "text": "I wasn't monitoring the computer, But yeah, this will be exciting to get the.", "raw_text": "I wasn't monitoring the computer, But yeah, this will be exciting to get the.", "start_time": 2514.44, "end_time": 2533.09, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 504, "text": "Anthropic logo, my R logo and just.", "raw_text": "Anthropic logo, my R logo and just.", "start_time": 2533.09, "end_time": 2537.41, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 505, "text": "Getting better with clock joke.", "raw_text": "Getting better with clock joke.", "start_time": 2537.41, "end_time": 2538.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 506, "text": "Send out links to.", "raw_text": "Send out links to.", "start_time": 2541.69, "end_time": 2542.81, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 507, "text": "Yeah, I'll send out.", "raw_text": "Yeah, I'll send out.", "start_time": 2543.53, "end_time": 2544.49, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 508, "text": "I'll send out a general and slack.", "raw_text": "I'll send out a general and slack.", "start_time": 2544.49, "end_time": 2546.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 509, "text": "I'll send this out.", "raw_text": "I'll send this out.", "start_time": 2546.13, "end_time": 2546.97, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 510, "text": "I'll send the training course invites out.", "raw_text": "I'll send the training course invites out.", "start_time": 2546.97, "end_time": 2548.73, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 511, "text": "I have a markdown for like study guide startup, but DM me if you're wanting to take the exam and then next week, I'll find a time.", "raw_text": "I have a markdown for like study guide startup, but DM me if you're wanting to take the exam and then next week, I'll find a time.", "start_time": 2548.89, "end_time": 2557.53, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 512, "text": "Very shortly I'll find a time for us to do a separate group session for like an hour of everyone wanting to take the exam.", "raw_text": "Very shortly I'll find a time for us to do a separate group session for like an hour of everyone wanting to take the exam.", "start_time": 2557.93, "end_time": 2563.37, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 513, "text": "The expectation would be that if you tell me you're ready to take the exam, we'll meet next week and you'll at least look into the practice exam.", "raw_text": "The expectation would be that if you tell me you're ready to take the exam, we'll meet next week and you'll at least look into the practice exam.", "start_time": 2563.61, "end_time": 2570.93, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 514, "text": "And ideally we can have a group discussion about what we've learned, what we haven't.", "raw_text": "And ideally we can have a group discussion about what we've learned, what we haven't.", "start_time": 2570.93, "end_time": 2574.41, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 515, "text": "And if you start taking the practice exam, take screenshots of the things you got wrong because it'll tell you, like, what you got wrong and why.", "raw_text": "And if you start taking the practice exam, take screenshots of the things you got wrong because it'll tell you, like, what you got wrong and why.", "start_time": 2574.41, "end_time": 2581.13, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 516, "text": "Me and Reed and Justin started a document of one so we can kind of get the gotchas, because if you start to see a pattern, so just screenshot those, save them or send them to me, and then we'll compile them.", "raw_text": "Me and Reed and Justin started a document of one so we can kind of get the gotchas, because if you start to see a pattern, so just screenshot those, save them or send them to me, and then we'll compile them.", "start_time": 2582.43, "end_time": 2592.67, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 517, "text": "And I think.", "raw_text": "And I think.", "start_time": 2592.75, "end_time": 2593.71, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 518, "text": "I don't think this test is going to be that hard if we study for it.", "raw_text": "I don't think this test is going to be that hard if we study for it.", "start_time": 2593.87, "end_time": 2596.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 519, "text": "Taking it cold is tough, but, like, I think if we just all put some degree of effort and talk about it, A, we'll get knowledge out of it because I think these are important topics because they're putting them on there.", "raw_text": "Taking it cold is tough, but, like, I think if we just all put some degree of effort and talk about it, A, we'll get knowledge out of it because I think these are important topics because they're putting them on there.", "start_time": 2596.47, "end_time": 2608.11, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 520, "text": "And then B, will be fine on the test.", "raw_text": "And then B, will be fine on the test.", "start_time": 2608.46, "end_time": 2610.34, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 521, "text": "Like, it won't be that hard.", "raw_text": "Like, it won't be that hard.", "start_time": 2610.34, "end_time": 2611.74, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 522, "text": "And honestly, there's so much reading.", "raw_text": "And honestly, there's so much reading.", "start_time": 2612.06, "end_time": 2614.3, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 523, "text": "They're all long sentences and the paragraph's long.", "raw_text": "They're all long sentences and the paragraph's long.", "start_time": 2614.3, "end_time": 2616.78, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 524, "text": "So at least we'll know the pattern so it'll help us save time on the exam.", "raw_text": "So at least we'll know the pattern so it'll help us save time on the exam.", "start_time": 2616.78, "end_time": 2620.54, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 525, "text": "There is some game theory, because Reed.", "raw_text": "There is some game theory, because Reed.", "start_time": 2620.54, "end_time": 2623.18, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 526, "text": "Literally was just supposed to just read and click and he's like, I ran out of time.", "raw_text": "Literally was just supposed to just read and click and he's like, I ran out of time.", "start_time": 2623.18, "end_time": 2626.38, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 527, "text": "You only have, like, third order questions, so.", "raw_text": "You only have, like, third order questions, so.", "start_time": 2626.38, "end_time": 2629.1, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 528, "text": "Any other comments?", "raw_text": "Any other comments?", "start_time": 2635.67, "end_time": 2636.47, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 529, "text": "Sweet.", "raw_text": "Sweet.", "start_time": 2638.95, "end_time": 2639.39, "speaker_id": 0, "speaker_name": "Caden Kacmarynski"}, {"index": 530, "text": "You did it on time.", "raw_text": "You did it on time.", "start_time": 2639.39, "end_time": 2640.31, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 531, "text": "Well, yeah.", "raw_text": "Well, yeah.", "start_time": 2640.47, "end_time": 2641.07, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}, {"index": 532, "text": "Enjoy the Taco Bell, Chipotle.", "raw_text": "Enjoy the Taco Bell, Chipotle.", "start_time": 2641.07, "end_time": 2642.63, "speaker_id": 1, "speaker_name": "Caden Kacmarynski"}]

35

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