1 00:00:29,365 --> 00:00:30,085 Hey everyone. 2 00:00:30,085 --> 00:00:34,827 Welcome to the inaugural episode of Prompt and Circumstances. 3 00:00:35,005 --> 00:00:36,085 Isn't that a great title? 4 00:00:36,235 --> 00:00:37,285 Yeah, that's a good one. 5 00:00:37,585 --> 00:00:42,475 Um, I'm Tom Adams and I'm your host today and only today for this inaugural 6 00:00:42,475 --> 00:00:47,575 episode as we pull up our chairs around this virtual conversation, and brown 7 00:00:47,575 --> 00:00:50,035 table that we hope will become your 8 00:00:50,536 --> 00:00:54,676 , Listening, uh, thing that you do on a regular basis just to hear 9 00:00:54,676 --> 00:00:59,926 about code culture, CEO, reality checks around all things ai. 10 00:01:00,436 --> 00:01:03,646 , To get us started, let's just make sure you know everybody on our panel. 11 00:01:03,646 --> 00:01:07,096 This is our first episode and we just wanna make sure everybody knows 12 00:01:07,096 --> 00:01:09,466 who the people are in the voices. 13 00:01:09,466 --> 00:01:12,636 So, I'm gonna start with,, Mike,, do you wanna take it away and 14 00:01:12,636 --> 00:01:13,716 give us a sense of who you are? 15 00:01:14,128 --> 00:01:14,548 Yeah. 16 00:01:14,548 --> 00:01:15,298 Thanks Tom. 17 00:01:15,298 --> 00:01:16,888 Hey, it's uh, great to be here. 18 00:01:16,888 --> 00:01:19,258 Everybody looking forward very much to this podcast. 19 00:01:19,258 --> 00:01:20,068 Mike Richardson. 20 00:01:20,068 --> 00:01:20,368 Yeah. 21 00:01:20,368 --> 00:01:26,308 I've spent the last 23 years coaching and facilitating CEOs and so I 22 00:01:26,308 --> 00:01:29,068 just feel a grave responsibility. 23 00:01:29,463 --> 00:01:32,103 To help CEOs figure out this AI thing. 24 00:01:32,133 --> 00:01:33,063 That's why I'm here, Tom. 25 00:01:33,621 --> 00:01:34,011 Good. 26 00:01:34,011 --> 00:01:34,701 That's great. 27 00:01:34,751 --> 00:01:35,321 Mark. 28 00:01:36,408 --> 00:01:36,618 Yeah. 29 00:01:36,618 --> 00:01:37,188 Morning Tom. 30 00:01:37,188 --> 00:01:37,578 Thanks. 31 00:01:37,648 --> 00:01:40,588 , Like Mike, uh, just to echo him, like delighted to be here. 32 00:01:40,588 --> 00:01:40,978 Awesome. 33 00:01:41,248 --> 00:01:44,188 Um, so look, I'm an ad guy, I guess I'm a marketing guy. 34 00:01:44,248 --> 00:01:48,718 Um, spent my, um, early career in agencies, then moved client 35 00:01:48,718 --> 00:01:51,388 side and was, uh, in C-level for. 36 00:01:52,078 --> 00:01:55,648 number of billion dollar companies, uh, which was incredible experience for me. 37 00:01:55,768 --> 00:01:58,168 Right now I am, I do a lot of leadership coaching. 38 00:01:58,168 --> 00:01:59,008 I work with CEOs. 39 00:01:59,038 --> 00:02:03,099 I'm working with some young companies in, uh, who are facing unbelievable 40 00:02:03,268 --> 00:02:05,008 disruption unbelievably quickly. 41 00:02:05,008 --> 00:02:08,938 So, uh, super exciting topic, like, uh, great to be with you guys this morning. 42 00:02:09,396 --> 00:02:10,086 Yeah, that's great. 43 00:02:10,086 --> 00:02:11,701 And Ryan, I. 44 00:02:11,883 --> 00:02:12,513 thanks. 45 00:02:12,963 --> 00:02:18,783 Uh, excited about our prompt and circumstance, uh, AI podcast. 46 00:02:19,023 --> 00:02:24,693 My background is 30 years in technology in the last 10 years being CEO of 47 00:02:24,693 --> 00:02:29,073 private equity backed B2B enterprise software companies in that mid-market 48 00:02:29,073 --> 00:02:35,163 space and super excited to help coach, lead, and, uh, educate others 49 00:02:35,163 --> 00:02:36,543 on what I'm seeing in the market. 50 00:02:37,176 --> 00:02:37,881 That's great. 51 00:02:37,921 --> 00:02:40,261 Uh, from my perspective, I'm an executive coach. 52 00:02:40,261 --> 00:02:44,711 I've worked with small to mid-size, privately owned, uh. 53 00:02:45,401 --> 00:02:48,491 Companies primarily in the B2B service space. 54 00:02:48,491 --> 00:02:49,841 But I do a lot more than that. 55 00:02:50,171 --> 00:02:54,281 I've been doing that for 23 years, and, uh, I am just, uh, 56 00:02:54,311 --> 00:02:56,225 headlong into AI related stuff. 57 00:02:56,381 --> 00:03:00,371 So that's part of the conversation, but, uh, now that we've got a sense of who 58 00:03:00,371 --> 00:03:03,971 each other is, um, Mike, you are the guy who kind of put us all together. 59 00:03:03,971 --> 00:03:08,801 So I want jump to you and, and, uh, give us a sense of why we're, you 60 00:03:08,801 --> 00:03:12,046 know, how we all met, how we put us together, and why we're together. 61 00:03:12,873 --> 00:03:14,973 Well, you know, like when you go through life, you sort of 62 00:03:14,973 --> 00:03:16,503 accumulate hangers on, don't you? 63 00:03:16,503 --> 00:03:21,123 And, and so, and so I think, uh, Tom, that, that you and I first 64 00:03:21,123 --> 00:03:23,108 met, I don't know, 15, 20 years ago. 65 00:03:23,126 --> 00:03:23,408 Yeah. 66 00:03:23,671 --> 00:03:23,961 Yeah. 67 00:03:24,468 --> 00:03:29,208 been a media guy all his life and, uh, actually ended up doing one of my websites 68 00:03:29,208 --> 00:03:33,168 at one point, and then we ran into each other again two or three years ago because 69 00:03:33,168 --> 00:03:35,268 we're part of a similar global community. 70 00:03:35,268 --> 00:03:39,378 And I discovered that Tom is blazing the trail with a very 71 00:03:39,378 --> 00:03:41,058 practical approach to ai. 72 00:03:41,808 --> 00:03:44,898 then, uh, uh, Ryan and I met, I guess Ryan, when was that? 73 00:03:44,898 --> 00:03:45,528 Like, I don't know. 74 00:03:45,528 --> 00:03:48,228 Back in 26, 20 17, I think it was. 75 00:03:48,228 --> 00:03:50,328 I was doing a keynote in Denver. 76 00:03:51,233 --> 00:03:56,003 I asked the audience, you know, who thinks that their business is gonna be 77 00:03:56,342 --> 00:04:00,713 disrupted, you know, beyond recognition within the next, you know, X years. 78 00:04:01,793 --> 00:04:05,753 was one of the very few that put his hand up and he is like looking left and 79 00:04:05,753 --> 00:04:08,723 looking right, and he's just, I could see this puzzled look on his face of 80 00:04:08,723 --> 00:04:10,703 what, what is up with the rest of you? 81 00:04:10,703 --> 00:04:11,903 Are you asleep at the wheel? 82 00:04:14,343 --> 00:04:18,063 And then Mark and I met probably, what, two or three years ago, uh, Mark's 83 00:04:18,063 --> 00:04:21,183 a fellow Brit, as you could tell, from our respective accents, and, uh, 84 00:04:21,183 --> 00:04:22,730 he just got back from New Zealand. 85 00:04:23,633 --> 00:04:27,003 uh, he'd previously been in Southern California, just got 86 00:04:27,003 --> 00:04:31,983 back from New Zealand, whereas you heard he did, uh, three global 87 00:04:32,313 --> 00:04:37,623 corporate massive transformations to enterprise agility and everything. 88 00:04:37,623 --> 00:04:39,363 And so, you know. 89 00:04:39,723 --> 00:04:43,353 I, I've been blazing a trail around agility for 23 years. 90 00:04:43,353 --> 00:04:47,418 Before that, I was a serial CEO and Tom, you know. 91 00:04:48,423 --> 00:04:54,603 I just know when the dots start to join up and something special starts to happen. 92 00:04:54,603 --> 00:04:54,963 And so I'm 93 00:04:55,111 --> 00:04:55,191 Hmm. 94 00:04:56,223 --> 00:04:58,383 that we've come here today to begin this podcast. 95 00:04:58,383 --> 00:05:00,663 We, we thought about writing a book, didn't we? 96 00:05:00,873 --> 00:05:02,043 And we thought, well, hang on a minute. 97 00:05:02,463 --> 00:05:06,273 By the time the ink is dry on that thing, it'll be about three years out of date. 98 00:05:06,273 --> 00:05:10,143 So why don't we just try to keep up with this, this rollercoaster 99 00:05:10,143 --> 00:05:12,903 ride, you know, week by week, month by month kind of thing. 100 00:05:13,481 --> 00:05:13,996 Yeah, so 101 00:05:14,623 --> 00:05:17,713 Mike, I, um, I, it's so funny 'cause I was just thinking about like, uh, what 102 00:05:17,713 --> 00:05:21,163 we're gonna talk about today and um, and I had it all figured out on Monday. 103 00:05:22,333 --> 00:05:26,561 Like, and then yesterday I, I like it all changed. 104 00:05:26,861 --> 00:05:27,191 right. 105 00:05:28,033 --> 00:05:30,283 I, I was like, I was like, oh, okay, so 106 00:05:30,378 --> 00:05:33,048 GPT five and all, all kinds of stuff. 107 00:05:33,048 --> 00:05:33,648 Yeah, exactly. 108 00:05:33,763 --> 00:05:34,993 that's what we're dealing with, right? 109 00:05:34,993 --> 00:05:37,333 It's like, and, and I actually, I'm, you know why I'm here? 110 00:05:37,573 --> 00:05:39,493 Like, I'm here 'cause I need someone to talk to, 111 00:05:39,801 --> 00:05:40,331 Yes, 112 00:05:40,903 --> 00:05:43,873 like, like really, like I, I need somebody to talk to. 113 00:05:43,903 --> 00:05:46,303 'cause this, this shit's gonna, is, is driving me mad. 114 00:05:46,631 --> 00:05:47,591 yes, yes. 115 00:05:47,981 --> 00:05:49,061 So Ryan. 116 00:05:49,361 --> 00:05:53,498 thread is, is when we, we started talking to each other, we realized we were seeing 117 00:05:53,498 --> 00:05:59,618 the same things and felt some level of comfort that we weren't, uh, alone in, 118 00:05:59,618 --> 00:06:02,138 in seeing, and the dots aligning and. 119 00:06:02,318 --> 00:06:04,203 As Mike says, something special happening. 120 00:06:05,066 --> 00:06:09,416 And I, and I think we decided to do a podcast because, uh, it, it 121 00:06:09,416 --> 00:06:12,041 allows us to talk to each other and I think, frankly, other people. 122 00:06:12,851 --> 00:06:15,941 Uh, would be interested the kind of conversation we're having because 123 00:06:15,941 --> 00:06:19,781 we're coming at it from four, uh, I think uniquely different perspectives 124 00:06:19,781 --> 00:06:23,891 and a podcast allows us to be fresh, relevant, you know, we can record and, 125 00:06:23,951 --> 00:06:26,381 and, and it be online fairly quickly. 126 00:06:26,661 --> 00:06:29,451 I think the other advantage to it is what Mark said. 127 00:06:29,451 --> 00:06:33,021 We just get to have a about what we're experiencing and exploring. 128 00:06:33,021 --> 00:06:37,041 It's not because it's staying static, it's changing so incredibly rapidly. 129 00:06:37,078 --> 00:06:37,341 Yeah, 130 00:06:38,083 --> 00:06:41,623 everybody that's listening, just, I'm gonna fess up right now everybody. 131 00:06:41,953 --> 00:06:46,213 I am willing to be the slow guy in the room, so you, you might struggle to 132 00:06:46,213 --> 00:06:49,813 keep up with these other three guys here 'cause they truly are blazing a trail. 133 00:06:50,173 --> 00:06:53,383 But I'll be coming along behind gradually, so if you just keep 134 00:06:53,383 --> 00:06:54,793 up with me, then you'll be fine. 135 00:06:54,793 --> 00:06:55,363 Trust me. 136 00:06:55,503 --> 00:06:57,863 We could do closed caption subtitles for you, Mike. 137 00:06:59,541 --> 00:07:01,251 We, we have a walker for you too. 138 00:07:01,251 --> 00:07:01,791 Don't worry. 139 00:07:02,907 --> 00:07:07,137 maybe let's just kind of come at it from the perspective of what's our 140 00:07:07,137 --> 00:07:11,097 individual sense of what's happening, not just why we're doing this podcast, 141 00:07:11,097 --> 00:07:16,677 but our sense of what's going on in the world in AI and why we're particularly 142 00:07:16,677 --> 00:07:18,147 interested in this conversation. 143 00:07:18,207 --> 00:07:19,922 Ryan, maybe let's start with you on that one. 144 00:07:20,959 --> 00:07:24,034 You know, the, the first thing that comes to mind is everything all at once. 145 00:07:25,534 --> 00:07:33,034 Uh, it just seems like the rapid innovation, the rapid change that's 146 00:07:33,034 --> 00:07:37,204 underway, uh, I don't think it's hyperbole to say it's another. 147 00:07:37,584 --> 00:07:38,964 Industrial Revolution. 148 00:07:40,044 --> 00:07:48,144 I also think it's fascinating there's such a spectrum from ai first, AI native, 149 00:07:48,324 --> 00:07:54,624 really rapid company innovation and personal productivity gains the way to. 150 00:07:55,014 --> 00:07:59,244 Lack of awareness or, you know, somebody may have tried something a couple years 151 00:07:59,244 --> 00:08:03,534 ago but really hasn't revisited using a large language model or generative 152 00:08:03,534 --> 00:08:08,064 AI or, you know, really hasn't, uh, adopted it in their business or even 153 00:08:08,064 --> 00:08:12,324 just mandates that there will be no use of, of AI in, in a company. 154 00:08:12,594 --> 00:08:16,794 I think that spectrum is just amazing and it's happening all at once. 155 00:08:17,632 --> 00:08:17,872 Yeah. 156 00:08:17,984 --> 00:08:18,424 I love that. 157 00:08:18,424 --> 00:08:22,684 And, and know, I've, I've, I get to coach a lot and facilitate a lot of 158 00:08:22,684 --> 00:08:25,054 CEOs, a lot of forums, a lot of boards. 159 00:08:25,849 --> 00:08:31,399 And even before all of that, the natural state of play for CEOs, 160 00:08:31,399 --> 00:08:35,749 maybe, maybe plenty of exceptions to that rule in our listeners here, but 161 00:08:35,749 --> 00:08:40,069 the natural state of play is already sort of, you know, overwhelmed. 162 00:08:40,069 --> 00:08:44,389 I'm already overwhelmed with, you know, all of the strategy and execution 163 00:08:44,389 --> 00:08:48,259 and leadership and communication and, and, you know, business development 164 00:08:48,259 --> 00:08:51,109 and, and process engineering that I gotta do in my business. 165 00:08:51,379 --> 00:08:52,717 And now this. 166 00:08:53,017 --> 00:08:53,307 Yeah. 167 00:08:53,614 --> 00:08:55,294 Oh my gosh, I'm overwhelmed. 168 00:08:55,294 --> 00:08:56,599 Times 10 if I'm not careful. 169 00:08:57,344 --> 00:08:58,004 You know what, Mike? 170 00:08:58,139 --> 00:09:03,284 I, I, um, I was having a chat with somebody a couple of weeks ago uh. 171 00:09:04,499 --> 00:09:09,419 We see CEOs fitting this is gonna, this is a little bit like ridiculous, but we 172 00:09:09,419 --> 00:09:11,429 see CEOs fitting into two camps, right? 173 00:09:11,819 --> 00:09:16,499 The ones that are like, can you just keep this away long enough so I can retire? 174 00:09:16,907 --> 00:09:17,167 All right. 175 00:09:17,909 --> 00:09:18,749 There's those guys. 176 00:09:19,079 --> 00:09:21,929 And then, and then there's, and then there's another camp, which is like, 177 00:09:22,019 --> 00:09:24,764 um, uh, I have no idea what to do. 178 00:09:25,104 --> 00:09:25,604 That's it. 179 00:09:26,339 --> 00:09:29,309 You've got like, and, and, and it is like, it's, and, and I'm not joking. 180 00:09:29,309 --> 00:09:31,439 Like those are the conversations we see happening. 181 00:09:31,739 --> 00:09:36,839 Like, like, because, um, and the ones, you know, I don't see anyone sat, sat, sat in 182 00:09:36,839 --> 00:09:39,809 the, this is not gonna affect me middle. 183 00:09:39,899 --> 00:09:40,949 I don't see anyone. 184 00:09:41,369 --> 00:09:41,729 So, 185 00:09:41,809 --> 00:09:43,909 and then there'll be the, then there'll be the camp of people 186 00:09:43,909 --> 00:09:45,109 that listen to our podcast. 187 00:09:45,109 --> 00:09:45,679 Perfect. 188 00:09:46,589 --> 00:09:49,649 but, but like, but, but there's a, there's an absolute group of people 189 00:09:49,649 --> 00:09:51,239 that are like, can just keep this away. 190 00:09:51,269 --> 00:09:53,729 Like, I've got 18 months, I've got 18 months till I 191 00:09:53,729 --> 00:09:55,139 leave the seat, keep it away. 192 00:09:56,414 --> 00:09:57,839 It's like, it's, it's pretty scary, right? 193 00:09:57,869 --> 00:09:58,159 Like. 194 00:09:59,307 --> 00:10:04,227 Yeah, and the challenge that I, I see in my conversations is, uh, is what 195 00:10:04,227 --> 00:10:08,997 you said, plus there's this other factor that I also see, which is. 196 00:10:09,845 --> 00:10:11,322 Um, keep it away from me. 197 00:10:11,512 --> 00:10:12,562 , , I don't wanna deal with it. 198 00:10:12,562 --> 00:10:13,312 It's too much. 199 00:10:13,312 --> 00:10:17,872 But the other one is, I, I don't even have a path to take with it, like it's. 200 00:10:18,232 --> 00:10:21,892 It's a lot of times we're getting there because there's, I don't know 201 00:10:21,892 --> 00:10:23,692 what step to make at this point. 202 00:10:23,692 --> 00:10:28,462 Like, it feels like the ground is so uneven and unsteady that I'd rather just 203 00:10:28,462 --> 00:10:33,892 stand here, kind of like, you know, the, uh, the flight or fright or freeze mode. 204 00:10:34,042 --> 00:10:38,303 A lot of people are in freeze mode right now, just stuck not knowing what to do. 205 00:10:38,529 --> 00:10:38,749 Yep. 206 00:10:38,824 --> 00:10:39,114 Yeah. 207 00:10:39,199 --> 00:10:39,799 a good point. 208 00:10:39,799 --> 00:10:44,029 You know, the CEOs that I talk to, I frequently ask them to really 209 00:10:44,029 --> 00:10:48,529 lean in and start to make it part of their day-to-day operations. 210 00:10:48,589 --> 00:10:49,004 Uh, I love it. 211 00:10:49,249 --> 00:10:54,019 Story where I had a conversation with a CEO and I said, take out your phone, 212 00:10:54,049 --> 00:10:57,739 open up chat GPT and walk around your warehouse, start to take some 213 00:10:57,739 --> 00:10:59,509 pictures of products that you have. 214 00:11:00,079 --> 00:11:03,529 And, uh, he reflected back that he had four or five people behind 215 00:11:03,529 --> 00:11:07,039 him and they were getting insights and really kind of some level of 216 00:11:07,039 --> 00:11:11,209 omnipotence about the products and such, and storage and material safety 217 00:11:11,209 --> 00:11:12,859 data sheets and different things. 218 00:11:13,249 --> 00:11:16,429 Uh, just an example of how you could really just. 219 00:11:16,834 --> 00:11:18,394 Change the way that you work. 220 00:11:18,394 --> 00:11:25,204 That mindset shift how you can leverage AI in your day-to-day operations is, 221 00:11:25,294 --> 00:11:29,554 is really, uh, uh, enlightening and really kind of opens up that aperture 222 00:11:29,554 --> 00:11:33,124 as to it not just being a product or something over there, or something 223 00:11:33,124 --> 00:11:36,574 that's being discussed at a board level, but rather how you infuse it 224 00:11:36,574 --> 00:11:38,884 into your, your day-to-day operations. 225 00:11:39,779 --> 00:11:44,429 You know, I, so I run these monthly forums, as you all know, and after you 226 00:11:44,429 --> 00:11:47,759 came and spoke, Tom, if you remember, you came and spoke to all of my forums, 227 00:11:47,759 --> 00:11:51,119 or rather you came in by Zoom, you know, over the last, what, 2, 3, 4 months 228 00:11:51,227 --> 00:11:51,517 Yeah. 229 00:11:51,712 --> 00:11:51,952 Yep. 230 00:11:52,289 --> 00:11:54,449 Um, I instituted. 231 00:11:54,779 --> 00:11:56,489 A second sign in sheet. 232 00:11:56,519 --> 00:12:00,034 There's always been a first sign in sheet where on the way into the room. 233 00:12:00,824 --> 00:12:05,054 The CEOs will sort of rate themselves out of 10 business professional, 234 00:12:05,054 --> 00:12:06,674 personal life kind of stuff. 235 00:12:06,674 --> 00:12:09,940 And you know what, what issue, challenge, problem is front of mind 236 00:12:09,974 --> 00:12:11,504 for them as they come into the room. 237 00:12:11,834 --> 00:12:16,694 That's, I've always done that, but I put up a second sign in sheet, uh, which 238 00:12:16,694 --> 00:12:20,864 is all about ai, and they now have to rate themselves out of 10, how are they 239 00:12:20,864 --> 00:12:22,994 doing and applying AI to themselves. 240 00:12:23,039 --> 00:12:25,439 To their team and to their business. 241 00:12:25,799 --> 00:12:28,619 And of course see scores all over the board. 242 00:12:28,619 --> 00:12:31,349 I mean, there truly are people that, that come in and, and put 243 00:12:31,349 --> 00:12:35,909 zeros they're, they're just like, you know, frozen as you said. 244 00:12:35,909 --> 00:12:40,559 And there are some who come in and they're putting sixes, sevens, eights, nines. 245 00:12:41,549 --> 00:12:45,539 um, one of the members, it was his turn last, last month, a couple of weeks 246 00:12:45,539 --> 00:12:52,409 ago, to do his sort of host presentation and, and process and issue a case. 247 00:12:53,609 --> 00:12:57,689 Um, I, I encourage people to get into the habit of doing, uh, moving 248 00:12:57,689 --> 00:13:01,529 average graphs to, to help explain the story of their business. 249 00:13:01,889 --> 00:13:04,739 So he was explaining to everybody that with the new agent mode in 250 00:13:04,739 --> 00:13:10,439 chat, GPT, he just dumped the raw data in there and boom, average 251 00:13:10,439 --> 00:13:12,299 graphs just like that, and everybody 252 00:13:12,307 --> 00:13:12,457 Right. 253 00:13:12,569 --> 00:13:13,919 sat there with their eyes wide 254 00:13:14,107 --> 00:13:14,347 Yeah. 255 00:13:14,797 --> 00:13:15,097 Yeah. 256 00:13:15,367 --> 00:13:15,607 Yeah. 257 00:13:15,744 --> 00:13:15,907 on. 258 00:13:16,014 --> 00:13:19,704 Um, so I, I was, uh, here in Southern California, right? 259 00:13:19,704 --> 00:13:22,524 We in, uh, orange County, there's a, a group called EMP and they 260 00:13:22,524 --> 00:13:23,664 do events like a couple of year. 261 00:13:23,904 --> 00:13:26,839 There was one on Wednesday and I went to it and I got to hear a couple of really. 262 00:13:27,264 --> 00:13:27,894 People talk. 263 00:13:27,894 --> 00:13:32,214 One of them was a guy called Keith Strayer or Stria, and he's the 264 00:13:32,214 --> 00:13:36,714 SVP of um, global AI A MD chips. 265 00:13:36,954 --> 00:13:37,184 Right? 266 00:13:37,194 --> 00:13:38,364 He's ex Nvidia. 267 00:13:38,544 --> 00:13:38,904 Right. 268 00:13:39,294 --> 00:13:42,084 And he said something that I thought was so interesting, right? 269 00:13:42,504 --> 00:13:46,614 He's like, so, you know like when, when we have new technologies like 270 00:13:46,674 --> 00:13:48,954 that, you know, the hype cycle, it's like, oh, it's overhyped. 271 00:13:48,984 --> 00:13:51,954 He said, guys, like, let me make one thing clear. 272 00:13:52,464 --> 00:13:54,684 This is under hyped. 273 00:13:55,762 --> 00:13:56,092 All right. 274 00:13:56,514 --> 00:13:58,587 So, so it was like, and that actually stopped me in my tracks 275 00:13:58,887 --> 00:13:59,307 Mm-hmm. 276 00:13:59,694 --> 00:13:59,904 okay. 277 00:14:00,114 --> 00:14:02,964 He said, normally when we talk about technologies in this stage, 278 00:14:03,204 --> 00:14:04,944 we we're talking about overhyping. 279 00:14:04,944 --> 00:14:06,054 This is under height. 280 00:14:06,084 --> 00:14:10,734 He's like, it, no, this is not just another technology. 281 00:14:11,424 --> 00:14:14,214 to be honest, I've got a little bit of that narrative in my mind. 282 00:14:14,214 --> 00:14:15,444 Like it's just tech, right? 283 00:14:15,444 --> 00:14:16,194 It's like he's. 284 00:14:16,839 --> 00:14:19,269 This is like, make no mistake. 285 00:14:19,719 --> 00:14:23,594 And he said, you know what we've gotta get our arms around is you, 286 00:14:23,599 --> 00:14:26,619 you know the story of the single person, billion dollar company? 287 00:14:26,619 --> 00:14:27,909 He said, that's real. 288 00:14:28,299 --> 00:14:32,199 And he said, but what you've gotta understand is with AI, you are 289 00:14:32,199 --> 00:14:34,389 no longer limited by team size. 290 00:14:35,394 --> 00:14:36,684 By team location. 291 00:14:36,684 --> 00:14:39,222 You are not, you are unlimited. 292 00:14:39,522 --> 00:14:39,732 Yeah. 293 00:14:39,744 --> 00:14:43,704 So, and he mentioned a couple of companies where, um, uh, one 294 00:14:43,704 --> 00:14:44,499 of the, what was one of them? 295 00:14:44,664 --> 00:14:48,174 Um, I've wrote it down somewhere, but he's like, look, this is a six person 296 00:14:48,174 --> 00:14:52,134 company like that is valued at $5 billion. 297 00:14:52,267 --> 00:14:52,537 Right. 298 00:14:52,709 --> 00:14:53,609 all teenagers. 299 00:14:53,909 --> 00:14:54,654 six of them. 300 00:14:54,834 --> 00:14:59,244 He said, he said, because, because if you, you know, like when you deploy this 301 00:14:59,244 --> 00:15:01,914 technology correctly, you are unbound. 302 00:15:02,677 --> 00:15:02,827 Yeah. 303 00:15:03,144 --> 00:15:07,854 have a team, an unlimited team of experts to help you. 304 00:15:08,244 --> 00:15:11,904 And um, and another lady there, girl called, a lady called Claire, 305 00:15:12,114 --> 00:15:14,544 uh, Gibbon, or yeah, Claire Gibbon. 306 00:15:14,814 --> 00:15:18,324 Um, at AWS she said, I'm not a brilliant person. 307 00:15:18,849 --> 00:15:22,599 But, um, with ai, I can do brilliant things. 308 00:15:22,629 --> 00:15:25,389 And I was like, that's a good, that's a good quote, man. 309 00:15:25,569 --> 00:15:25,749 Like, 310 00:15:25,837 --> 00:15:26,107 Yeah. 311 00:15:26,407 --> 00:15:27,219 that's a good quote. 312 00:15:27,219 --> 00:15:31,299 So, so anyway, I just thought, like, that really struck me this week as like, we, 313 00:15:31,299 --> 00:15:32,829 we are talking about this thing, right? 314 00:15:32,829 --> 00:15:38,649 And, and it's like if, if you, if you buy into the, it's under hyped 315 00:15:38,649 --> 00:15:41,949 narrative, then it's like this wake up guys ring the bell, right? 316 00:15:42,099 --> 00:15:43,479 Like ring the bell. 317 00:15:43,539 --> 00:15:45,279 I thought it was really quite powerful actually. 318 00:15:46,469 --> 00:15:46,589 Yeah. 319 00:15:46,624 --> 00:15:47,374 couldn't agree more. 320 00:15:47,374 --> 00:15:50,734 And I think actually some timely things this week, uh, for instance, I 321 00:15:50,734 --> 00:15:53,374 think it was the CEO of Palantir, Alex 322 00:15:53,727 --> 00:15:54,017 Yeah. 323 00:15:54,124 --> 00:15:58,324 had said, we see that we could 10 x our revenue. 324 00:15:59,929 --> 00:16:06,169 And with 10% fewer employees, there are currently, I think at 4,100 employees, he 325 00:16:06,169 --> 00:16:12,679 said, I think we can trail down to about 3,600 employees and 10 x our revenue. 326 00:16:12,829 --> 00:16:16,339 And I think the level of innovation, just leaning in on the hype cycle, 327 00:16:16,729 --> 00:16:20,299 it's possible that there's just so much innovation that we never get. 328 00:16:20,344 --> 00:16:24,259 I, I have never felt like I hit a trough of disillusionment, for 329 00:16:24,259 --> 00:16:26,419 instance, in the last, uh, few years. 330 00:16:27,259 --> 00:16:27,429 Right. 331 00:16:27,729 --> 00:16:28,019 Yeah. 332 00:16:28,099 --> 00:16:29,874 seems like the next level of productivity 333 00:16:30,174 --> 00:16:30,414 Yeah. 334 00:16:30,499 --> 00:16:33,259 level of innovation just keeps building that. 335 00:16:33,259 --> 00:16:35,959 Maybe, maybe we'll never see a, a trough of disillusionment. 336 00:16:35,959 --> 00:16:39,979 I'm sure we'll see a plateau at some point, but that's so Well I say so far 337 00:16:39,979 --> 00:16:43,909 in the future, but, you know, in the next three to five years, uh, the level 338 00:16:43,909 --> 00:16:49,909 of innovation and productivity and, and insights and anecdotes about, you know, 339 00:16:50,359 --> 00:16:54,889 elevating your own personal level of, of capability is just super exciting. 340 00:16:55,034 --> 00:16:55,544 Yeah. 341 00:16:55,544 --> 00:16:56,654 And, and everybody listening, the 342 00:16:56,852 --> 00:16:56,972 I. 343 00:16:57,374 --> 00:16:59,804 I think was made by Gartner. 344 00:16:59,804 --> 00:17:00,824 Is that correct guys? 345 00:17:00,824 --> 00:17:01,484 The hype cycle? 346 00:17:01,484 --> 00:17:01,904 Yeah. 347 00:17:01,919 --> 00:17:05,714 And, and I think it, I think one of my other favorite models is called 348 00:17:05,714 --> 00:17:09,344 the Dunning Kruger model, and I think they, they sort of go hand in 349 00:17:09,344 --> 00:17:10,739 hand and it, it's this idea that. 350 00:17:11,834 --> 00:17:13,184 As you've all said, right? 351 00:17:13,184 --> 00:17:17,774 You know, you, you get this explosion of, of the sort of up curve, you know, 352 00:17:17,774 --> 00:17:24,134 the bub the bubble kind of effect all the hype, and then it sort of crashes 353 00:17:24,134 --> 00:17:28,844 into the valley of disillusionment when sort of reality sets in and then, 354 00:17:29,204 --> 00:17:33,734 and then gradually it sort of claws its way back and starts to be real. 355 00:17:33,734 --> 00:17:35,339 Just like if you think back to the internet. 356 00:17:35,984 --> 00:17:39,044 You know, what, 25, 30, 35 years ago. 357 00:17:40,364 --> 00:17:44,474 but I think what, what Mark and Ryan are saying, everybody is, you know, sometimes 358 00:17:44,474 --> 00:17:51,914 things come along that just, um, explode the previous paradigm and you begin to 359 00:17:51,914 --> 00:17:54,974 realize that that doesn't work anymore. 360 00:17:55,163 --> 00:18:01,664 That, that, uh, that codification of how things go doesn't apply to this because 361 00:18:01,664 --> 00:18:03,314 this is breaking all of those rules. 362 00:18:04,162 --> 00:18:04,462 Yeah. 363 00:18:04,642 --> 00:18:08,662 And for me that that has meant, as I'm having those conversations, I had 364 00:18:08,662 --> 00:18:13,582 to take it outta the theoretical for myself because we can talk that talk, 365 00:18:13,612 --> 00:18:17,692 you know, we see the hype cycle, but I had to make sense of that for myself. 366 00:18:17,692 --> 00:18:20,932 And one of the things I've tried to do is go, if I'm gonna be in this conversation. 367 00:18:21,322 --> 00:18:22,432 In a reasonable way. 368 00:18:22,432 --> 00:18:24,562 I've gotta explore what this looks like. 369 00:18:24,562 --> 00:18:27,412 I gotta try things, I gotta do stuff. 370 00:18:27,502 --> 00:18:31,702 And, um, I I, I heard recently that one of the biggest indicators 371 00:18:31,702 --> 00:18:36,202 of whether a a generally a larger company, even mid-market comes on 372 00:18:36,202 --> 00:18:42,172 board, is the CEO actually playing with chat GVT or Gemini or, or copilot. 373 00:18:42,172 --> 00:18:44,302 If they're not playing with it, it's not gonna happen. 374 00:18:44,302 --> 00:18:45,292 But if they are, it is. 375 00:18:45,292 --> 00:18:45,917 And for me it was. 376 00:18:46,457 --> 00:18:50,237 I gotta dig in, I gotta try stuff like literally on my, my 377 00:18:50,237 --> 00:18:54,707 office computer, I have four different, uh, LLM agents running. 378 00:18:54,977 --> 00:18:56,537 I'm testing stuff all the time. 379 00:18:56,537 --> 00:18:59,117 I've been vibe coding on five platforms. 380 00:18:59,357 --> 00:19:02,987 Like I, I'm just throwing shit at the wall literally all the time. 381 00:19:02,987 --> 00:19:07,037 But what it's helped me to do is really understand that this is not a hype cycle. 382 00:19:07,217 --> 00:19:09,617 We're, we're in something profound. 383 00:19:11,304 --> 00:19:12,084 But that's it. 384 00:19:12,084 --> 00:19:13,194 That's it though, Tom. 385 00:19:13,194 --> 00:19:13,434 Right? 386 00:19:13,434 --> 00:19:18,744 It's like, I think that, um, that's a great example because like all 387 00:19:18,744 --> 00:19:20,752 leaders have to have that moment. 388 00:19:21,052 --> 00:19:21,322 Yep. 389 00:19:21,654 --> 00:19:24,382 They have to where, where they go, hold on, this is different. 390 00:19:24,682 --> 00:19:24,952 Yeah. 391 00:19:25,014 --> 00:19:27,294 isn't like, oh, try this new CRM. 392 00:19:27,294 --> 00:19:28,284 It's better than the last 393 00:19:28,597 --> 00:19:28,947 Right. 394 00:19:29,514 --> 00:19:30,202 whatever. 395 00:19:30,502 --> 00:19:30,622 Yeah. 396 00:19:30,969 --> 00:19:34,719 But like when you start to touch this, and I know just chatting to 397 00:19:34,719 --> 00:19:38,979 the, between the four of us, like the impact it's had on my work in the 398 00:19:38,979 --> 00:19:41,709 last six months is just unbelievable. 399 00:19:41,709 --> 00:19:41,889 Right? 400 00:19:41,889 --> 00:19:46,657 You can't experience that without going something crazy is about to happen, 401 00:19:46,957 --> 00:19:47,247 Yeah. 402 00:19:47,289 --> 00:19:50,799 can't, you can't look at it and not have that reaction 403 00:19:51,112 --> 00:19:51,382 Yeah, 404 00:19:51,399 --> 00:19:54,909 you know, I, I think everyone's gotta go through that moment where 405 00:19:54,909 --> 00:19:57,159 you wake up and you go, holy crap. 406 00:19:57,339 --> 00:19:58,599 Everything just changed. 407 00:19:59,092 --> 00:19:59,332 Yep. 408 00:19:59,434 --> 00:20:03,574 I've talked to a, a number of, uh, leaders, and when that tipping 409 00:20:03,574 --> 00:20:07,564 moment happens, they, you know, that, that there's this consensus 410 00:20:07,624 --> 00:20:11,764 of, I just haven't been this excited about technology for a while. 411 00:20:12,484 --> 00:20:17,164 you know, and I've, I've lived through, you know, pc, internet, mobile, cloud, 412 00:20:17,524 --> 00:20:22,414 uh, but man, the last couple years and especially the last six months. 413 00:20:22,864 --> 00:20:26,614 Uh, has just been something special and just really just kindled 414 00:20:26,704 --> 00:20:29,344 this excitement for what's next. 415 00:20:30,239 --> 00:20:30,569 Yeah. 416 00:20:30,569 --> 00:20:34,079 And, and you know, all of us to some degree have been blazing the trail 417 00:20:34,079 --> 00:20:37,479 with agility and, you know, the, the concept of that enterprise agility, 418 00:20:37,679 --> 00:20:41,279 business agility, organizational agility, team agility, leadership 419 00:20:41,279 --> 00:20:44,339 agility for, you know, decades now and. 420 00:20:45,119 --> 00:20:51,119 You know that tipping point idea is, is so crucial, I think, where you sort of 421 00:20:51,119 --> 00:20:57,102 cross over to the other side where rather than fearing chaos, you embrace chaos 422 00:20:57,402 --> 00:20:57,692 Yeah. 423 00:20:57,992 --> 00:20:59,879 rather than chaos being the enemy. 424 00:21:00,149 --> 00:21:06,329 Chaos becomes your friend if you know how to engage with it and, and get 425 00:21:06,329 --> 00:21:07,979 into the concept of organized chaos. 426 00:21:07,979 --> 00:21:11,819 The trouble with ai, everybody is this is just going to 10 x 427 00:21:13,434 --> 00:21:13,724 Yeah. 428 00:21:14,179 --> 00:21:19,309 if you fall behind the curve 10 x opportunity, if you're sort of 429 00:21:19,339 --> 00:21:22,879 hanging on, you know, keeping up with the curve or even getting ahead 430 00:21:22,879 --> 00:21:27,979 of the curve, just gonna sort, it's gonna be another grand sorting out 431 00:21:28,789 --> 00:21:31,099 those who can and those who can't. 432 00:21:31,727 --> 00:21:31,877 Yeah. 433 00:21:32,029 --> 00:21:35,509 Tom, what are we gonna try to do here, from week to week 434 00:21:35,509 --> 00:21:36,890 or month to month to try to. 435 00:21:37,164 --> 00:21:37,944 I've resigned. 436 00:21:39,737 --> 00:21:40,308 Well, I, I. 437 00:21:40,379 --> 00:21:42,539 we gotta, we gotta bring some solutions. 438 00:21:42,769 --> 00:21:45,209 I, I appreciate everyone's time this morning, but I'm out. 439 00:21:47,189 --> 00:21:50,609 What's that famous, that famous, uh, uh, commercial, right? 440 00:21:50,639 --> 00:21:50,939 Oh, no. 441 00:21:50,939 --> 00:21:51,089 No. 442 00:21:51,089 --> 00:21:52,409 We don't do anything. 443 00:21:52,409 --> 00:21:53,429 We, we only 444 00:21:53,437 --> 00:21:53,947 No, I, 445 00:21:53,969 --> 00:21:54,299 problem. 446 00:21:54,307 --> 00:21:58,297 yeah, I think what we wanna do is, is just based on our own perspectives, 447 00:21:58,447 --> 00:22:01,537 let's just talk a little bit about what are, what are we seeing? 448 00:22:01,537 --> 00:22:02,767 What do we see this week? 449 00:22:02,767 --> 00:22:04,327 What's fresh, what's new? 450 00:22:04,717 --> 00:22:09,907 Uh, is there a lesson, an insight experience, a tool a, something 451 00:22:09,907 --> 00:22:14,857 that happened this week that brought you in or that caused you to think 452 00:22:14,857 --> 00:22:18,277 differently or caused you to be aware of how profound this is? 453 00:22:18,637 --> 00:22:19,867 Um, Ryan, do you wanna. 454 00:22:19,922 --> 00:22:21,422 You wanna take that one first? 455 00:22:21,829 --> 00:22:24,589 Well, I'll probably take a, a little bit, uh, different SL on this. 456 00:22:24,589 --> 00:22:30,739 What I was excited to see was additional investment from the majors education. 457 00:22:31,489 --> 00:22:36,319 Uh, so I believe, uh, you know, four weeks ago or so, Microsoft had committed 458 00:22:36,319 --> 00:22:40,429 billions of dollars to education and the like, I think Google just, 459 00:22:40,909 --> 00:22:44,419 uh, did a three year billion dollar investment in the higher education. 460 00:22:44,659 --> 00:22:51,289 I think that's absolutely imperative As this workforce is being educated, 461 00:22:51,289 --> 00:22:55,732 I personally have seen entrance into the workforce and a heightened 462 00:22:55,819 --> 00:23:02,299 expectation of AI avail availability, uh, and often met with a lack of 463 00:23:02,299 --> 00:23:04,159 interest and not understanding. 464 00:23:04,729 --> 00:23:06,949 Um, I, I think that has coupled with. 465 00:23:07,744 --> 00:23:14,584 What we're seeing is a more normalization of CEOs that level of productivity, 466 00:23:14,644 --> 00:23:18,814 going through efficiencies in their workforce, doing some layoffs and 467 00:23:18,814 --> 00:23:20,734 the like, becoming much more normal. 468 00:23:20,734 --> 00:23:25,294 And I think it's an interesting dichotomy some organizations 469 00:23:25,324 --> 00:23:28,954 realizing that productivity, going through some, some layoffs. 470 00:23:29,414 --> 00:23:35,114 A new workforce entering the, uh, entering their, their first jobs and 471 00:23:35,114 --> 00:23:38,054 having that expectation of AI efficiency. 472 00:23:38,264 --> 00:23:42,944 So I'm really excited to see, uh, additional investment into education, 473 00:23:43,064 --> 00:23:47,629 especially in higher ed and across K through 12, uh, to really help 474 00:23:48,309 --> 00:23:54,134 educators understand how to best, uh, groom the next workforce in this, this 475 00:23:54,194 --> 00:23:56,684 AI enabled, uh, environment we're in. 476 00:23:57,717 --> 00:23:58,317 Very cool. 477 00:23:58,647 --> 00:23:59,337 Yeah, that's great. 478 00:24:00,357 --> 00:24:02,788 Mike, what's, uh, what's blooming for you right now? 479 00:24:03,449 --> 00:24:08,249 So, uh, you know, over the last two or three weeks I started to play with the 480 00:24:08,249 --> 00:24:14,639 new agent mode in chat GPT-4, and that was what that, that CEO member used. 481 00:24:15,839 --> 00:24:18,869 uh, do those moving average graphs so quickly and so easily. 482 00:24:18,869 --> 00:24:22,949 So he, he tuned me into that and I started to use it, uh, 483 00:24:22,979 --> 00:24:24,659 to just do some basic things. 484 00:24:24,659 --> 00:24:29,369 My wife and I are planning a vacation in Sep in, in October, and so I asked chat 485 00:24:29,369 --> 00:24:34,949 GPT to sort of out there and figure out where the best deals are for cruises and 486 00:24:34,982 --> 00:24:36,689 resorts and all of that kind of stuff. 487 00:24:36,689 --> 00:24:40,109 And, and then you just sort of watch it do its work and, you know, a few 488 00:24:40,109 --> 00:24:43,169 minutes later, five or 10 minutes later it's done and serves up. 489 00:24:43,354 --> 00:24:49,354 The summary then of course, heard about chat GT five, uh, at least I saw the 490 00:24:49,593 --> 00:24:55,714 video yesterday of that rather stiff robotic announcement video of open 491 00:24:55,714 --> 00:24:59,854 ai, CEO, and the team announcing chat, GPT five, but they, you know, they 492 00:24:59,854 --> 00:25:01,534 got the message across, which is good. 493 00:25:02,164 --> 00:25:05,674 So, lo and behold, you know, when I, when I opened it up this morning, you know my 494 00:25:05,674 --> 00:25:08,404 chat, GPT, there it is, chat, GPT five. 495 00:25:08,404 --> 00:25:09,034 And so I asked. 496 00:25:09,454 --> 00:25:11,014 I asked chat, GPT five. 497 00:25:11,014 --> 00:25:14,344 Hey, gimme a summary of chat GPT five. 498 00:25:15,214 --> 00:25:20,674 a summary of, of what, how CEOs should be thinking about what's new and different 499 00:25:21,426 --> 00:25:26,884 in chat GT five and what else, you know, what they can start to do with it, even 500 00:25:26,884 --> 00:25:29,494 more than they could do with chat GPT-4. 501 00:25:29,494 --> 00:25:32,314 So that's what I've been playing with in the last few hours, literally. 502 00:25:33,337 --> 00:25:33,967 That's great. 503 00:25:34,657 --> 00:25:35,977 Mark, what's going on with you? 504 00:25:36,127 --> 00:25:38,977 What's, uh, what's driving your attention this week? 505 00:25:38,977 --> 00:25:41,882 What's, uh, what insights, experiences, what else? 506 00:25:45,134 --> 00:25:45,794 Uh, we lost your 507 00:25:45,932 --> 00:25:47,092 We, we lost you, 508 00:25:47,454 --> 00:25:51,084 I've got, um, got some guys doing, uh, doing leaf blowing 509 00:25:51,084 --> 00:25:51,984 outside the window, so I went 510 00:25:52,019 --> 00:25:52,309 Okay. 511 00:25:52,374 --> 00:25:52,644 a second. 512 00:25:52,842 --> 00:25:53,262 of course. 513 00:25:54,759 --> 00:25:57,954 I, I think, you know, I, I mentioned earlier the event I went to, like, 514 00:25:57,984 --> 00:25:59,995 I, I just thought some really. 515 00:26:01,224 --> 00:26:03,875 Uh, like important thoughts for me. 516 00:26:04,104 --> 00:26:08,064 I'm still like, I, I'm flip-flopping though between like end of the world 517 00:26:08,784 --> 00:26:10,292 the most exciting thing I've ever seen 518 00:26:10,592 --> 00:26:10,942 Right. 519 00:26:10,974 --> 00:26:12,144 and like, and I'm, I'm not kidding. 520 00:26:12,232 --> 00:26:12,369 I, I 521 00:26:12,532 --> 00:26:12,822 Yeah. 522 00:26:13,134 --> 00:26:14,844 when I'm like, we're actually doomed. 523 00:26:16,104 --> 00:26:16,764 I'm not kidding. 524 00:26:16,764 --> 00:26:20,394 I'm like, I can, I can force it and it'll be, and it'll happen, it'll happen 525 00:26:20,394 --> 00:26:23,364 quicker than we could even imagine, right? 526 00:26:23,364 --> 00:26:26,814 So don't, like, you can talk to me about a 10 year horizon, but like 527 00:26:27,174 --> 00:26:32,904 nothing beyond that because in 10 years we, this will be unrecognizable. 528 00:26:33,517 --> 00:26:33,577 Yeah. 529 00:26:33,877 --> 00:26:36,234 And that is, really terrifying. 530 00:26:36,234 --> 00:26:36,444 Right. 531 00:26:36,444 --> 00:26:38,394 I, I've, as a, as a dad of two. 532 00:26:38,814 --> 00:26:41,964 Two kids who have now left school and are trying to get into the workforce. 533 00:26:41,964 --> 00:26:43,190 I'm terrified for that. 534 00:26:43,644 --> 00:26:47,754 Um, you know, I'm terrified that Elon Musk thinks there'll be a billion 535 00:26:47,754 --> 00:26:52,704 humanoid robots, you know, in 10 years, but really probably in five. 536 00:26:53,394 --> 00:26:55,914 said he's, you know, I dunno if you saw that interview, but he's like, 537 00:26:56,214 --> 00:27:00,709 he's like, in five years there will be humanoid robots everywhere you go. 538 00:27:02,049 --> 00:27:04,929 Every public space, every service. 539 00:27:05,019 --> 00:27:09,189 And he said, because of that, services will go to zero. 540 00:27:09,639 --> 00:27:09,879 Right? 541 00:27:09,879 --> 00:27:12,129 Because like, it'll be so cheap to do everything. 542 00:27:13,149 --> 00:27:16,539 So I'm like, so I do have days when I wake up and I go like, oh, oh my God. 543 00:27:16,539 --> 00:27:19,989 Like, this is, like, I don't even know if I wanna live in that thing. 544 00:27:20,429 --> 00:27:20,649 And 545 00:27:20,707 --> 00:27:21,002 All right. 546 00:27:21,014 --> 00:27:22,094 you're a beard mark? 547 00:27:22,094 --> 00:27:23,054 Is that, is that what that's. 548 00:27:23,199 --> 00:27:27,819 like, I'm, I'm, I'm, I'm trying to buy a cave somewhere in, yeah. 549 00:27:28,609 --> 00:27:31,069 I would say, you know, mark, actually that's an interesting point. 550 00:27:31,069 --> 00:27:35,691 I have heard that from others, uh, especially those that have children 551 00:27:35,869 --> 00:27:40,219 that are entering, or young individuals that are entering the workforce, this 552 00:27:40,219 --> 00:27:45,619 sincere, compelling feeling of, I need to make sure they understand this. 553 00:27:46,374 --> 00:27:49,734 I'm super worried, Ryan, I gotta tell you, and I'm super, I've got a, I've 554 00:27:49,734 --> 00:27:56,094 got a, I've got, um, a family member is doing computer science at UCLA. 555 00:27:57,804 --> 00:27:59,694 Not a great decision, right? 556 00:27:59,813 --> 00:28:01,464 Like, like, I mean, seriously. 557 00:28:01,464 --> 00:28:02,604 Like let's get real here. 558 00:28:02,604 --> 00:28:04,614 We've got people who are about to invest. 559 00:28:04,764 --> 00:28:06,714 Like we've got a new education cycle rolling. 560 00:28:06,714 --> 00:28:11,004 Now we've got people who are about to undertake three, $400,000 of 561 00:28:11,182 --> 00:28:16,552 investment for degrees in things that are going to be worthless, 562 00:28:16,852 --> 00:28:17,092 Yep. 563 00:28:17,124 --> 00:28:17,392 right? 564 00:28:17,514 --> 00:28:20,754 And, and 15 years ago we said, become a developer. 565 00:28:20,754 --> 00:28:21,324 You'll be set for 566 00:28:21,329 --> 00:28:21,624 Yeah. 567 00:28:21,839 --> 00:28:22,564 Yeah, exactly. 568 00:28:22,734 --> 00:28:22,924 Yeah. 569 00:28:23,034 --> 00:28:23,244 Like, 570 00:28:23,422 --> 00:28:23,632 right. 571 00:28:23,874 --> 00:28:26,814 it's like guys like wake up and, and, and, and then people always 572 00:28:26,814 --> 00:28:29,514 say to me, oh, yeah, but they're, they're learning how to learn. 573 00:28:29,574 --> 00:28:29,904 I'm like, 574 00:28:31,944 --> 00:28:33,384 like, excuse me. 575 00:28:33,774 --> 00:28:34,014 Like, 576 00:28:34,462 --> 00:28:34,642 Yeah. 577 00:28:34,942 --> 00:28:36,624 keep your, keep your 400 grand. 578 00:28:36,624 --> 00:28:36,954 Right? 579 00:28:36,954 --> 00:28:38,694 And like, and like learn this shit. 580 00:28:38,962 --> 00:28:39,262 Yep. 581 00:28:39,404 --> 00:28:40,724 go to a trade school and 582 00:28:40,762 --> 00:28:41,062 Right. 583 00:28:41,174 --> 00:28:41,474 okay. 584 00:28:41,722 --> 00:28:41,872 Yeah. 585 00:28:42,264 --> 00:28:45,564 So, so I, I'm, I'm, I'm having a, I'm definitely having 586 00:28:45,564 --> 00:28:47,844 like a minor midlife crisis. 587 00:28:48,674 --> 00:28:48,824 We 588 00:28:48,952 --> 00:28:49,222 Good. 589 00:28:49,304 --> 00:28:49,934 see that Mark. 590 00:28:49,934 --> 00:28:50,084 We, 591 00:28:50,242 --> 00:28:50,572 Yeah. 592 00:28:50,624 --> 00:28:52,244 all it's written all over your face, mark. 593 00:28:53,439 --> 00:28:53,659 So, 594 00:28:53,662 --> 00:28:54,052 Well, 595 00:28:54,279 --> 00:28:54,499 and 596 00:28:54,562 --> 00:28:54,922 I get, 597 00:28:54,939 --> 00:28:59,004 I, so, so, and, but I'm, and then I'm like, and then I think about 598 00:28:59,004 --> 00:29:00,714 possibility and I'm super excited. 599 00:29:00,714 --> 00:29:00,862 But 600 00:29:01,162 --> 00:29:01,282 yeah, 601 00:29:01,582 --> 00:29:03,894 so, I, I'm, I'm having one of those moments. 602 00:29:03,924 --> 00:29:05,274 I might have to have a lie down in a minute, 603 00:29:05,302 --> 00:29:05,632 yeah. 604 00:29:05,692 --> 00:29:05,902 Yeah. 605 00:29:06,174 --> 00:29:06,349 you'll know why. 606 00:29:06,649 --> 00:29:09,824 so, you know, I'm sure we all, we all do this, right? 607 00:29:09,854 --> 00:29:11,324 You know, we talk about vuca, right? 608 00:29:11,324 --> 00:29:13,814 Volatility, uncertainty, complexity and ambiguity. 609 00:29:13,814 --> 00:29:15,734 And the thing everybody is, we've always had vuca. 610 00:29:16,544 --> 00:29:19,664 I mean, when we, when we rolled out the railroad infrastructure 611 00:29:19,664 --> 00:29:21,404 around the USA, that was vuca. 612 00:29:22,204 --> 00:29:24,920 then we rolled out the, the, the automotive infrastructure 613 00:29:25,024 --> 00:29:25,894 and that was vuca. 614 00:29:25,954 --> 00:29:29,134 And then we rolled out the aviation infrastructure and that was VUCA 615 00:29:29,134 --> 00:29:30,604 on everything that came before. 616 00:29:31,264 --> 00:29:34,056 And, and yeah, there's been VUCA and VUCA and vuca, uh, 617 00:29:34,204 --> 00:29:35,704 COVID of course and all that. 618 00:29:35,764 --> 00:29:40,474 So this is obviously another form of VUCA on steroids times 10. 619 00:29:40,492 --> 00:29:40,852 Yeah. 620 00:29:41,044 --> 00:29:43,084 So there is a little bit of a sort of. 621 00:29:44,024 --> 00:29:47,714 There is a little thing we can hold onto which, and try to stay 622 00:29:47,714 --> 00:29:51,824 composed in the face of vuca and that we've always had to do that. 623 00:29:51,824 --> 00:29:56,534 We've always had the next phase of vuca and we've always had to find ways to sort 624 00:29:56,534 --> 00:30:01,223 of, in the face of that craziness and that terror that's coming at us, stay composed 625 00:30:01,574 --> 00:30:06,344 and look for the silver lining, look for the opportunity inside of that threat. 626 00:30:06,854 --> 00:30:09,734 It just, it just is gonna, as you're saying, mark, it's 627 00:30:09,794 --> 00:30:12,584 just gonna be so much harder. 628 00:30:13,449 --> 00:30:19,959 Times 10 times a hundred possibly, to find that ability to stay composed in 629 00:30:19,959 --> 00:30:21,639 the face of what's gonna be coming at us. 630 00:30:21,639 --> 00:30:23,319 And that's what we're here to try to do. 631 00:30:23,319 --> 00:30:24,514 Everybody is try to give you, 632 00:30:24,594 --> 00:30:25,169 I don't have that. 633 00:30:26,574 --> 00:30:31,539 try to try to give you a little safe harbor, a little port in the storm to 634 00:30:31,682 --> 00:30:31,882 Well, 635 00:30:31,899 --> 00:30:32,109 you know, 636 00:30:32,337 --> 00:30:32,787 yeah. 637 00:30:33,087 --> 00:30:34,629 rebalance your composure. 638 00:30:34,862 --> 00:30:39,772 Well, for me, the way I deal with that is I go into it, right? 639 00:30:39,832 --> 00:30:41,152 I go into the storm. 640 00:30:41,494 --> 00:30:46,042 And so like this week, the thing that I've been learning this week, and uh, and this 641 00:30:46,042 --> 00:30:47,872 is, this is pretty good, I gotta tell you. 642 00:30:48,142 --> 00:30:50,692 'cause it connects to our, our, our title, 643 00:30:51,359 --> 00:30:51,649 drum 644 00:30:51,802 --> 00:30:52,162 is 645 00:30:52,239 --> 00:30:52,729 Very nice. 646 00:30:53,029 --> 00:30:58,462 circumstances are the direct result of prompt effectiveness. 647 00:30:58,849 --> 00:30:59,069 yes. 648 00:30:59,857 --> 00:31:00,247 Right. 649 00:31:00,247 --> 00:31:04,777 And so what I've been learning this week, 'cause I I, there's conversational chat 650 00:31:04,777 --> 00:31:10,387 with your chat, GPT or your Gemini, but I, I'm trying to learn vibe coding more and 651 00:31:10,447 --> 00:31:15,967 I, I don't know how to code, but I've been playing on, uh, on things like cursor. 652 00:31:16,327 --> 00:31:20,317 Uh, there's rep, which is one, but Cursor is like a, a software that sits on your 653 00:31:20,320 --> 00:31:21,937 computer, like you write code in it. 654 00:31:21,937 --> 00:31:24,487 But now you can add a AI agent. 655 00:31:24,487 --> 00:31:27,241 And what I'm learn, what I'm realizing is, um. 656 00:31:27,817 --> 00:31:29,377 They're like bad employees. 657 00:31:29,377 --> 00:31:33,217 They really are because, uh, they can go down a path and then they just go 658 00:31:33,217 --> 00:31:36,907 round and round in circles and loop the loop and they go, I don't care. 659 00:31:36,907 --> 00:31:38,017 I don't want to help you. 660 00:31:38,083 --> 00:31:40,357 And they, they do the thing that you didn't want them to 661 00:31:40,357 --> 00:31:41,497 do and they keep doing it. 662 00:31:41,977 --> 00:31:45,307 And, um, what I've, what I've been spending time on trying to 663 00:31:45,307 --> 00:31:49,658 figure out how to stay, you know, brain calm in this world is. 664 00:31:50,177 --> 00:31:55,937 I dig into it and I go, huh, if I get better at prompting, and it's not just, 665 00:31:56,027 --> 00:31:59,807 it's not just a little bit, it's like it's actually called prompt engineering. 666 00:32:00,197 --> 00:32:04,787 Um, and, and I get better at those kind of little things. 667 00:32:04,787 --> 00:32:08,837 I'm more comfortable with the crazy, for some strange reason I can deal with 668 00:32:08,837 --> 00:32:13,457 the crazy when I'm in it, as opposed to standing outside of it, looking at it 669 00:32:13,457 --> 00:32:17,897 and going, uh, right When I'm inside of it I go, okay, this is crazy, but it. 670 00:32:18,172 --> 00:32:22,192 It's no better than, uh, even, you know, a crazy employee. 671 00:32:22,192 --> 00:32:23,122 It just goes. 672 00:32:23,392 --> 00:32:26,332 And I, and I have, I realized like a management, like a 673 00:32:26,531 --> 00:32:27,892 leader, you gotta give it. 674 00:32:28,072 --> 00:32:29,332 What's the context? 675 00:32:29,332 --> 00:32:30,232 What's the goal? 676 00:32:30,232 --> 00:32:31,342 What's the outcome? 677 00:32:31,342 --> 00:32:32,752 Is there examples of this? 678 00:32:32,752 --> 00:32:35,002 Are there steps that you think I should take? 679 00:32:35,332 --> 00:32:38,152 And, and when you do some basic prompt engineering, you're 680 00:32:38,152 --> 00:32:39,412 in the middle of the crazy. 681 00:32:39,412 --> 00:32:43,792 And at the same time, you start to see that it responds to that. 682 00:32:43,792 --> 00:32:45,832 And I respond to that, which is kind of cool. 683 00:32:45,832 --> 00:32:46,882 My circumstance gets better. 684 00:32:47,594 --> 00:32:48,134 Yeah. 685 00:32:48,134 --> 00:32:48,915 And that brings back. 686 00:32:49,009 --> 00:32:49,399 a couple. 687 00:32:49,399 --> 00:32:51,349 Good, there's a couple good tips there. 688 00:32:51,409 --> 00:32:54,799 Uh, you and I have talked about this, like with, uh, just in the last few 689 00:32:54,799 --> 00:32:59,389 weeks, repli released the MD feature, which is like custom instructions. 690 00:32:59,392 --> 00:32:59,629 And so 691 00:32:59,692 --> 00:33:00,022 Yep. 692 00:33:00,322 --> 00:33:03,799 things in there to help provide some guide guardrails and such 693 00:33:03,887 --> 00:33:04,107 Yep. 694 00:33:04,519 --> 00:33:07,009 to, to make the agent, uh, perform better. 695 00:33:07,309 --> 00:33:10,639 You know, just a, a quick tip on prompt engineering, and I always tell people 696 00:33:10,639 --> 00:33:12,169 this 'cause it's just super easy. 697 00:33:12,199 --> 00:33:16,399 One, take the prompt I give you make it better. 698 00:33:17,509 --> 00:33:21,649 two, ask me three questions or five questions before you proceed. 699 00:33:22,489 --> 00:33:25,969 two things can really make a prompt that much better and, and help you 700 00:33:25,969 --> 00:33:28,969 get to an outcome that's much more tailored to what you're looking for. 701 00:33:29,142 --> 00:33:29,432 Yeah. 702 00:33:29,504 --> 00:33:32,654 I tracked with you there, you'd say maybe you go into chat GPT or whatever, you 703 00:33:32,654 --> 00:33:36,614 put in your first prompt, you see what comes back, then you say again, okay, 704 00:33:36,614 --> 00:33:38,684 please improve the prompt I gave you. 705 00:33:39,139 --> 00:33:39,409 Yeah, 706 00:33:39,709 --> 00:33:43,784 And then and then, and then you're saying a third round would be ask me three 707 00:33:43,784 --> 00:33:45,884 questions to help improve the prompt. 708 00:33:46,664 --> 00:33:46,875 Is that correct? 709 00:33:47,149 --> 00:33:49,759 on my, you can put that right into your prompt. 710 00:33:49,849 --> 00:33:54,025 And if you wanna go to the advanced course, if you will go to your settings, 711 00:33:54,709 --> 00:34:00,139 look for traits you want GPT to uh, uh, display and put it in there. 712 00:34:00,199 --> 00:34:03,319 And every time you prompt will do that. 713 00:34:03,349 --> 00:34:07,039 Say, you know, take my prompt, make it better than ask me three questions. 714 00:34:07,039 --> 00:34:08,179 And you don't need to know code. 715 00:34:08,179 --> 00:34:10,669 You just that right in there. 716 00:34:10,759 --> 00:34:11,479 Natural language. 717 00:34:11,877 --> 00:34:12,167 Okay. 718 00:34:12,329 --> 00:34:12,467 Yeah. 719 00:34:12,569 --> 00:34:15,329 And Tom, you know, what you were saying brought back that old adage 720 00:34:15,329 --> 00:34:18,629 that, that we've used many, many, many times, which is, you don't 721 00:34:18,629 --> 00:34:21,569 feel yourself into acting better. 722 00:34:21,997 --> 00:34:22,347 Right, 723 00:34:22,379 --> 00:34:25,439 act yourself into feeling better. 724 00:34:25,487 --> 00:34:25,837 right. 725 00:34:25,859 --> 00:34:27,959 So I think everybody that's listening, we're just, we're 726 00:34:27,959 --> 00:34:29,547 gonna try every, every week, every 727 00:34:29,847 --> 00:34:29,967 I, 728 00:34:30,029 --> 00:34:30,214 we're here. 729 00:34:31,109 --> 00:34:36,659 We're gonna try to encourage you, inspire you to dive in and get messy 730 00:34:37,132 --> 00:34:37,552 yes. 731 00:34:37,619 --> 00:34:42,029 the only, the only way to learn is to learn by doing everybody, not, 732 00:34:42,059 --> 00:34:44,819 yeah, you can do some reading, you can do some thinking, you can do some 733 00:34:44,819 --> 00:34:48,809 studying, but if you're not a careful that, that becomes analysis paralysis. 734 00:34:49,279 --> 00:34:52,519 You just gotta dive in head first and start doing some things and 735 00:34:52,519 --> 00:34:56,509 learning by doing and, and you'll start to feel not massively better, 736 00:34:56,509 --> 00:34:57,619 but at least a little bit better. 737 00:34:57,619 --> 00:34:59,539 I think Mark's beyond help, but we'll, we'll do. 738 00:35:01,239 --> 00:35:03,249 All the, well, yeah, good luck. 739 00:35:03,459 --> 00:35:07,749 Um, on like, um, I know all the quotes attributed to Mark Twain, all 740 00:35:07,749 --> 00:35:11,139 of them ev all the, but like, I I, this was attributed to Mark Twain 741 00:35:11,139 --> 00:35:14,349 and I, it made me think of it when you're talking and it's like, um, it's 742 00:35:14,349 --> 00:35:18,669 something, it goes something like, um, I really don't like that fellow, right? 743 00:35:18,849 --> 00:35:20,767 I must get to know him better. 744 00:35:21,067 --> 00:35:21,287 Hmm. 745 00:35:21,879 --> 00:35:25,539 And I'm like, if, if, if AI is the fellow. 746 00:35:25,979 --> 00:35:26,269 Yeah. 747 00:35:26,304 --> 00:35:26,544 Right. 748 00:35:26,569 --> 00:35:30,024 It's like, there you go, because, and this is, and this is like a life skill, right? 749 00:35:30,052 --> 00:35:30,382 Yeah. 750 00:35:30,414 --> 00:35:34,014 whenever you meet somebody and you go, oh, I'm really not sure about that Ryan Guy. 751 00:35:34,434 --> 00:35:35,004 It's like, it's 752 00:35:35,144 --> 00:35:35,204 Yeah. 753 00:35:35,214 --> 00:35:36,804 just, you gotta understand Ryan, man. 754 00:35:37,117 --> 00:35:37,407 Yeah. 755 00:35:37,434 --> 00:35:39,654 like, and, and, and that's, that's the, that's the genesis 756 00:35:39,654 --> 00:35:40,614 of what you're saying, isn't it? 757 00:35:40,614 --> 00:35:42,774 It's like, we've gotta, we've, you've gotta get into this guys. 758 00:35:43,162 --> 00:35:43,299 Like, 759 00:35:43,462 --> 00:35:43,522 Yeah. 760 00:35:43,899 --> 00:35:47,439 it'll be this scary monster that's gonna come and eat our families, you know? 761 00:35:47,439 --> 00:35:49,209 And it's like, so, so, yeah. 762 00:35:49,209 --> 00:35:53,709 I, I'm so, so as again, as everything around us changes, 763 00:35:53,815 --> 00:35:54,849 everything stays the same, right? 764 00:35:54,849 --> 00:35:56,139 The same rules apply. 765 00:35:56,139 --> 00:35:59,709 Like we are facing a massive moment of disruption. 766 00:35:59,829 --> 00:36:01,089 You got two choices. 767 00:36:01,419 --> 00:36:06,999 Like if you're gonna leave, leave now and go far away, If, if. 768 00:36:07,109 --> 00:36:08,699 that island in the Pacific. 769 00:36:10,584 --> 00:36:14,632 If you're gonna stay like, like get to know him better, 770 00:36:14,932 --> 00:36:15,172 Yeah. 771 00:36:15,234 --> 00:36:15,354 know? 772 00:36:16,132 --> 00:36:16,372 Yeah. 773 00:36:16,852 --> 00:36:17,392 That's good. 774 00:36:17,722 --> 00:36:22,300 So, a, as we wrap this one, um, I'm gonna take that concept and just sort 775 00:36:22,342 --> 00:36:26,962 of ask you, um, the, the concept for me that I try and teach the people I 776 00:36:26,962 --> 00:36:30,982 work with, or when I'm training people on this one, is be comfortable with 777 00:36:30,982 --> 00:36:35,812 play instead of putting this big set of expectation that you gotta figure it out. 778 00:36:36,667 --> 00:36:37,537 Play with it. 779 00:36:37,567 --> 00:36:41,407 Like, like you, you only get good at this when you play and, and you 780 00:36:41,407 --> 00:36:43,897 don't even get good at it 'cause it changes by the time you play. 781 00:36:43,897 --> 00:36:46,927 But at least when you're playing with it as opposed to this big 782 00:36:46,927 --> 00:36:48,887 expectation, you gotta figure it out. 783 00:36:49,327 --> 00:36:51,067 Um, it tends to come easier. 784 00:36:51,067 --> 00:36:56,287 So my question to you is, as we close up this, uh, first inaugural, uh, 785 00:36:56,287 --> 00:37:00,187 episode is what are you gonna play with this week as it relates to ai? 786 00:37:00,277 --> 00:37:02,497 What are you, what are you gonna, what are you gonna focus on? 787 00:37:02,497 --> 00:37:05,527 Or what action are you gonna take to help you move you forward? 788 00:37:06,979 --> 00:37:08,084 I, I'll jump in first. 789 00:37:08,144 --> 00:37:17,504 Uh, I have a new Microsoft Surface copilot ready, uh, latest whizzbang high spec, uh, 790 00:37:17,534 --> 00:37:19,874 you know, uh, device that's just shown up. 791 00:37:20,974 --> 00:37:24,004 It was time for me to upgrade, so I'm gonna get all that set up over 792 00:37:24,004 --> 00:37:28,414 the weekend, and I've only skimmed the surface of what copilot can 793 00:37:28,452 --> 00:37:28,672 Hmm. 794 00:37:29,494 --> 00:37:32,494 I, you know, I have chat, GPT, paid version of course. 795 00:37:33,784 --> 00:37:38,554 but I'm really excited about what copilot can do inside of the. 796 00:37:39,704 --> 00:37:44,864 Microsoft ecosystem of, of PowerPoint and Word and Excel and, and Outlook and, 797 00:37:44,869 --> 00:37:46,934 and teams and all of that kind of stuff. 798 00:37:46,934 --> 00:37:49,994 So I'm really gonna dive in head first and then I, the other thing 799 00:37:49,994 --> 00:37:53,444 is, I, I know you have, I think you have flawed Mark, don't you? 800 00:37:53,444 --> 00:37:56,444 The little sort of, uh, transcription device. 801 00:37:56,849 --> 00:38:00,884 I, I actually signed up to get Limitless, and I've just been waiting, waiting, 802 00:38:00,884 --> 00:38:03,134 waiting for the, for the Android version. 803 00:38:03,134 --> 00:38:04,809 And so I, I canceled out of that. 804 00:38:05,519 --> 00:38:09,899 I'm, I'm gonna get myself applaud and, uh, and start, start experimenting with that. 805 00:38:09,899 --> 00:38:11,009 How's that been for you, mark? 806 00:38:11,309 --> 00:38:11,874 uh, it's good. 807 00:38:11,874 --> 00:38:16,914 I, I use it, um, specifically to record like leadership sessions. 808 00:38:17,244 --> 00:38:17,994 Um, it's really good. 809 00:38:17,994 --> 00:38:20,304 But again, Mike, I've touched, like, I've just skimmed it right. 810 00:38:20,399 --> 00:38:20,819 Yeah, yeah. 811 00:38:20,819 --> 00:38:21,209 Yeah. 812 00:38:21,339 --> 00:38:23,799 this is, this is part of the challenge for us all. 813 00:38:23,799 --> 00:38:27,789 It's like, goodness me, we are, we are touching the very, every time 814 00:38:27,789 --> 00:38:30,969 these tools come out, like we're doing the classic like, you know, 815 00:38:31,239 --> 00:38:33,249 2% of available features, right? 816 00:38:33,329 --> 00:38:33,599 Yeah. 817 00:38:33,779 --> 00:38:33,959 Good. 818 00:38:34,799 --> 00:38:35,219 Keep going. 819 00:38:35,219 --> 00:38:35,429 Mark. 820 00:38:35,429 --> 00:38:36,509 What are you gonna do this week? 821 00:38:36,809 --> 00:38:38,619 You know what, I've got a really interesting week coming up actually, 822 00:38:38,619 --> 00:38:42,759 'cause I'm gonna Vancouver on Tuesday to spend the week with a client in 823 00:38:42,759 --> 00:38:46,629 Vancouver and we're gonna spend a lot of time re-imagining their business. 824 00:38:46,689 --> 00:38:50,109 So, um, I've got quite a creative week coming, which is gonna be really fun. 825 00:38:50,640 --> 00:38:54,159 Um, you know, I just picking up on something Ryan said earlier, like. 826 00:38:54,424 --> 00:38:55,624 Because I hadn't thought of it that way. 827 00:38:55,834 --> 00:38:59,464 Like, this is really interesting because this hype cycle has 828 00:38:59,464 --> 00:39:01,744 no disillusionment, right? 829 00:39:01,744 --> 00:39:07,024 Because every time I try something or do something, it blows my mind. 830 00:39:07,772 --> 00:39:07,982 All right. 831 00:39:08,314 --> 00:39:11,764 so, so I'm like, so I'm like, and, and so, so I would encourage, for 832 00:39:11,764 --> 00:39:15,334 anyone listening who's like, you know, every great journey, one small 833 00:39:15,334 --> 00:39:19,379 step, it's like, just try it because I guarantee you the first thing and be. 834 00:39:20,244 --> 00:39:23,274 The first query you ask Chatt BT Okay. 835 00:39:23,544 --> 00:39:27,504 Make it very specific and very relevant to your business. 836 00:39:27,864 --> 00:39:32,484 And if it doesn't blow your mind, I'll send you a coupon for Target. 837 00:39:32,844 --> 00:39:33,234 Right, right. 838 00:39:34,644 --> 00:39:38,814 like, so, so like, honestly, it's like, um, it, it's 'cause 'cause that's 839 00:39:38,814 --> 00:39:42,594 how I started and I remembered my first query and I'm like, holy crap. 840 00:39:42,594 --> 00:39:45,084 Like, how does it do that? 841 00:39:46,149 --> 00:39:48,309 So just, just, just start, just try something. 842 00:39:48,339 --> 00:39:50,799 'cause it's like, it, it'll not, it will not disappoint you. 843 00:39:50,799 --> 00:39:55,059 If it does write to Sam Altman, uh, I don't know, somewhere in Silicon 844 00:39:55,059 --> 00:39:56,115 Valley and he'll, he'll answer. 845 00:39:57,549 --> 00:39:57,739 I'll, 846 00:39:57,849 --> 00:39:58,634 Gonna do. 847 00:39:59,089 --> 00:40:02,629 Yeah, actually, and, and do it with something that you are familiar with. 848 00:40:02,707 --> 00:40:03,057 Right. 849 00:40:03,357 --> 00:40:05,599 know, I think a lot of people are like, well, I don't need to ask Chatt 850 00:40:05,749 --> 00:40:07,249 BT this, but you'll be surprised. 851 00:40:07,249 --> 00:40:09,829 One, you can start to validate, is it accurate? 852 00:40:09,829 --> 00:40:10,707 Is it hallucinating? 853 00:40:11,479 --> 00:40:12,619 What, what am I seeing? 854 00:40:12,619 --> 00:40:16,309 But you'd be surprised on the different vantage points, or if you keep. 855 00:40:16,679 --> 00:40:18,779 I keep asking it, well expand on this. 856 00:40:18,779 --> 00:40:21,539 What do you think or challenge my thinking on this? 857 00:40:21,539 --> 00:40:23,849 You'd be surprised what you, you get back. 858 00:40:23,849 --> 00:40:27,239 That really just starts to open up your mind to different perspectives on 859 00:40:27,239 --> 00:40:28,799 a topic that you may know very well. 860 00:40:30,057 --> 00:40:30,337 Yeah. 861 00:40:30,697 --> 00:40:31,897 So what are you gonna work on? 862 00:40:32,017 --> 00:40:33,487 What are you gonna work on this week? 863 00:40:33,547 --> 00:40:36,367 Uh, Ryan, what's, what's on your uh, plate this coming week? 864 00:40:36,829 --> 00:40:41,059 Well, like you, uh, I've don, uh, dove in on, on vibe coding, and you 865 00:40:41,059 --> 00:40:45,019 were kind enough to gimme some time and really show me some great agent 866 00:40:45,019 --> 00:40:47,239 work that you've been, uh, developing. 867 00:40:47,479 --> 00:40:49,039 So that's my, my objective. 868 00:40:49,069 --> 00:40:52,009 And I think even the day that we were talking, I was like, well, 869 00:40:52,369 --> 00:40:55,009 should I subscribe to the chat GPT? 870 00:40:55,009 --> 00:40:55,039 Uh. 871 00:40:56,964 --> 00:41:00,984 I forget the next level, $200 a month and really get, get in on agents. 872 00:41:00,984 --> 00:41:03,744 And I think that day it was when, when they had released 873 00:41:03,744 --> 00:41:05,424 the agents for the pro version. 874 00:41:05,424 --> 00:41:11,664 So I'm excited to dive in on that and, uh, just see how I can start to, uh, add 875 00:41:11,694 --> 00:41:16,974 agentic tooling to my own pro productivity and really think through product roadmaps 876 00:41:16,974 --> 00:41:19,014 for, for SaaS companies and the like. 877 00:41:19,014 --> 00:41:20,874 So that'll be my, my to-do this week. 878 00:41:21,619 --> 00:41:21,829 Awesome. 879 00:41:21,829 --> 00:41:22,699 What about you, Tom? 880 00:41:22,882 --> 00:41:27,052 Uh, so, um, I am, I, I've never used, you know, there's this thing on 881 00:41:27,052 --> 00:41:28,732 your computer, it's called Terminal. 882 00:41:28,732 --> 00:41:32,992 If you're on, um, if you're on, uh, Mac, it's terminal, and if you're on 883 00:41:32,992 --> 00:41:34,852 Windows, it's, uh, what's it called? 884 00:41:34,852 --> 00:41:34,942 It's. 885 00:41:35,572 --> 00:41:38,122 It's, I don't know, command prompt. 886 00:41:38,144 --> 00:41:38,414 Tom. 887 00:41:38,414 --> 00:41:38,774 I have no 888 00:41:38,782 --> 00:41:38,902 Yeah. 889 00:41:39,074 --> 00:41:39,712 Whatever this is. 890 00:41:39,712 --> 00:41:44,032 But I, I, I didn't really understand it until Claude Code, which is now 891 00:41:44,062 --> 00:41:47,752 pretty much universally recognized as one of the better coding tools. 892 00:41:47,962 --> 00:41:49,462 So you don't even see it now. 893 00:41:49,462 --> 00:41:54,112 You just go into terminal and you say, Claude and Claude pops up, and 894 00:41:54,112 --> 00:41:56,842 you just talk to Claude and Claude. 895 00:41:57,232 --> 00:41:58,522 Make stuff. 896 00:41:58,552 --> 00:41:59,782 It fixes stuff. 897 00:41:59,812 --> 00:42:04,012 It it, you say, go look in this folder and tell me everything that's in there. 898 00:42:04,012 --> 00:42:06,259 And it comes back and says, this is what's in the folder. 899 00:42:06,262 --> 00:42:07,672 Why, what do you want me to do with it? 900 00:42:08,092 --> 00:42:12,052 And, um, I'm playing with Terminal and I've never done that before, but 901 00:42:12,052 --> 00:42:16,192 I'm using this really cool tool called Warp, which is like AI terminal. 902 00:42:16,552 --> 00:42:21,562 Um, and then I'm testing also warp, I mean, Claude Code in Cursor. 903 00:42:21,802 --> 00:42:25,552 And again, the very fact that I'm saying this, mark, you'll get this. 904 00:42:25,822 --> 00:42:27,982 I don't even know what I'm, I don't even know who I am. 905 00:42:27,982 --> 00:42:30,444 Like I would've never said this literally 906 00:42:30,744 --> 00:42:31,014 What have 907 00:42:31,042 --> 00:42:32,182 three weeks ago. 908 00:42:32,182 --> 00:42:34,972 I, I, I'm going, what, what is going on here? 909 00:42:34,972 --> 00:42:38,512 I'm touching stuff that code people touch, but I'm touching it. 910 00:42:38,512 --> 00:42:40,044 So that's what I'm working on this week. 911 00:42:40,344 --> 00:42:40,734 Yeah. 912 00:42:41,369 --> 00:42:41,579 So 913 00:42:41,692 --> 00:42:41,992 Anyways. 914 00:42:42,179 --> 00:42:46,829 if you're, if you're there with us, uh, never fear, I'll bring up the rear. 915 00:42:46,829 --> 00:42:50,519 We'll make sure that we translate this back into English for you. 916 00:42:50,519 --> 00:42:53,429 I nearly had to interrupt, Ryan. 917 00:42:53,429 --> 00:42:53,974 Sorry, what? 918 00:42:54,404 --> 00:42:55,379 Rept what? 919 00:42:55,469 --> 00:42:57,239 And MD What? 920 00:42:57,239 --> 00:42:59,459 And by the way, we'll try to put it in English. 921 00:42:59,489 --> 00:43:00,479 English everybody. 922 00:43:00,479 --> 00:43:00,659 Not 923 00:43:00,757 --> 00:43:01,057 All right. 924 00:43:02,422 --> 00:43:02,722 All right. 925 00:43:02,819 --> 00:43:03,899 of the thing. 926 00:43:04,139 --> 00:43:05,404 Anyway, Tom, take us out. 927 00:43:05,842 --> 00:43:07,582 Well, uh, gentlemen, it's been great. 928 00:43:07,582 --> 00:43:10,762 Thank you for sharing where you are and, uh, we'll catch up soon.