Totally Rewarding Chats | Ep. 34: Lets talk about AI - the sessions at W@W and beyond

[00:00:00] Alright, welcome to Totally Rewarding Chats, the live at World at Work in, as advertised, sunny, warm, sit by the river San Antonio, Paul? Or has it been the 50s driving rain and wind experience I was hoping?

[00:00:19] If you found sunny and warm, you definitely partook in April 20th yesterday, because it is definitely not sunny and warm by any stretch. It is warmer back home and sunnier back home in Chicago than here down in South Texas. Yeah, I think World at Work made sure by ordering that weather that we would partake in all the sessions and stay in tours. And then just before we get into our guests, a thing that will probably never happen again, and for the first time in TR Chat history, Sean and Paul have the same background.

[00:00:46] Oh, this is true. There's a long history depending how much you've listened. It's the same background you had yesterday, by the way, I just want to call out. Well, we have the same at the same time. We have the same background, because the other day when we did these from here, we sat on the other side of each other. So I'm stoked to have Ryan Berkey here. Hey there. That's Berkey, and there is a silent H in the middle. Oh, secret. Yeah, that's Berkey. That's a real talker. Secret H. Yeah. Oh, like a secret agent. Yes.

[00:01:15] A little dad joke to throw that in. Like a little AI agent, too. Okay. Oh. Oh. So, Ryan, great you could join us. Really appreciate it. Yeah, I'm glad you're both actually in the same room. We now have proof. Proof of life. It's right here. Yeah. Proof. Yeah. That one of us is not an AI bot. It's amazing. Yeah. Can you just push your hand over your face just to make sure it doesn't glitch out? Because, you know, that's... It's usually they want me to hide my face. Oh. Why that happens. Yeah.

[00:01:42] Give us your background and a little bit about why you're here and what you're doing now. And then we'll dive in. Yeah. So, I have been in a Tori Ward scene for a while now. And I've been around companies large and small and most recently at a large e-commerce company where just kind of learning about AI here in the last year, it's been exploding. And it's really kind of a passion area of mine.

[00:02:06] And the last TR25, there was a session where a HRBP took a picture of their food for their GPT to track their calories. And I came out that saying, how hard could this really be? I mean, if we're... This is a gratuitous use, right, of AI. We're burning tokens here. How hard could it be? And so I came back and I made my own GPT to help leaders at that e-commerce company actually make JDs because we didn't have JDs everywhere. So, like, thinking about, like, NCASE.

[00:02:32] And I'm like, this is actually kind of fun and I've been kind of a side hustle. And since then, I've built agents, custom agents. Most recently here, I talked about my ARIA agent, my automated rewards innovation ally. So, she pushes back. She tells me to touch Grash at times. And I own that. And so I am super excited to kind of help other builders get inspired because we really have, like, this is a moment in time where the doors are open. We have radical agency to do that.

[00:03:02] And that's radical candor. So, keep me honest here and accountable. That's a different podcast, right? But as we think about, like, we have a radical agency to... We don't need permission. Just go out and do it. And we can build whatever we can imagine. If you can imagine it, you can bring it into life. You don't need to have a development team. I use Python every day. I don't know how to code Python, but my AI does. And as we think about, you know, as we're using AI, is it making us dumber? Yes or no? I would say, you know, every tool changes you. Like, we used to print out MapQuest, right?

[00:03:33] Get in the car, family, everyone pack it in. And now we use our GPS and our phones, like, long distance road trips. If all of a sudden, like, you didn't have that GPS anymore, could you get back? Yeah. I'd figure it out. But yeah, I'd figure it out. It'd be different. I might meander. But it wouldn't be as efficient because we are cognitively offloading and choosing how we spend our brain cycles. That's just how we're naturally efficient, but not lazy, right? Right? Yeah.

[00:04:01] So as we think about, you know, what are we abdicating? What are we doing? Also kind of gets back to, well, can it pass our smell test? Yeah. So the GRP, CCP, that's still important as it was before because it doesn't teach us how to memorize all the rules, but teaches us the why behind it. So that as we get stuff out, we're like, okay, it passes the smell test. Well, we'll get there. Yeah, man. Let's do the human check. So we've got to make sure we actually got literally a sign on your head that says, hey, I got it. So we want to make sure if you're like an AI guy or you're literally AI.

[00:04:32] Oh, we got a better one. We got a better one. All right. So knowing how high energy you are, I'm very curious. The first one, are you a coffee or tea person? Coffee all the way. And then the follow-up is... Well, two follow-ups for Ryan. All right. Do it. How much coffee do you drink? Well, today I lost count. This is fine. Yeah. Okay. Yeah. This is where I am. That's in my life now. After having little kids, like, how do you live?

[00:05:00] Well, during the day, coffee at night bourbon. This is fine. Yeah. Yeah. So those who don't know Ryan, sometimes when people are on, they're high energy because they're nervous and whatever. This is literally him all the time. So if you're like, I'm not telling him to slow down because... Is this guy like what? He's literally like this all the time. The follow-up coffee question. Okay. Are you a coffee snob? Oh. I'm not sure how to take that. So I have a Nespresso machine. I am a coffee snob. So don't take it as a bad thing. I'm only Starbucks. I cannot do caribou. I'm sorry, Minnesota.

[00:05:30] It's where I'm from. But I have to do the Starbucks. Starbucks. But I've learned that Starbucks is kind of expensive. So I like my Nespresso. But if I have, like, to be able to choose any kind of coffee, Kona. Kona coffee. Okay. That's where it's at. It's like a 7 out of 10. Yeah, it's a 7. It's on the snob end. More snob than not. But I will drink the conference coffee, obviously. No.

[00:05:56] Place you have not been to on vacation that you'd like to go to. Oh, that's awesome. I would love to go to the Maldives. Oh, okay. Yeah, just get out there. Like, very few people actually get there. I heard they have some good weather. They might have some coconut. Sleep on the water. That's literally what I heard about San Antonio. Hopefully not sleeping with the fishes, though. Yeah. That's a different discussion. Well, that leads into the next one.

[00:06:26] Actually, we're right on side. So you literally have to pick one across from you now. Okay. Yes. If you have a weekend alone, although we should probably rephrase the question. Oh, no. You have a weekend alone to escape. Would you rather go to a posh resort or would you rather go out camping rough it? I am so torn. So if it's by myself, I would, on one hand, there's a strong part of me, because my wife is all about creature comforts, and I've leaned into this in recent years, that I would

[00:06:55] go to the all-inclusive resort. But I grew up camping, and it's like core to my identity. Like, I'm just going to rough it. And hot dog tastes the best off of a campfire. So the new version of this question. The new, it is. So you're the first person I asked alone, because legitimately. We have to remove the husband guilt, though. So the new framing is going to be, your wife is on a, your wife is on a week. Yeah. Your spouse is on a weekend trip with their friends. Okay. You've now got a choice of how you spend your time.

[00:07:25] Would you rough it in the woods, or would you follow to the resort? I would do a tech detox in the woods. There we go. Take it in s'mores. Take it in s'mores. We're going to get more Sean. We're going to have to get more team Sean. Yeah. So what's happened now, as you can tell, is most of them are like, well, actually, my wife would only go here. And so they're like, I'm not even going to entertain my own thoughts on this. Well, this is fair, because you have the decision and the default decision. Correct. And I choose to stay married. Yeah. That's right.

[00:07:53] And just like AI, context and framing matters. Yes. We need to provide context that makes it more of your choice, not the choice for the family. Yeah. So I get some free agency in this. That's right. We need to create agency. Yeah. That's good. First AI tool you used, which was the first one you used? My first AI tool that I used was ChatGPT. This was back in late 2024.

[00:08:23] No, late, probably like November. It's the definition of a new industry. So way back. Way back when. Way back in the day. I think in AI terms, that's like 30 years ago. Right. Let's be serious. I think that's a trick question. Totally spell check. I guarantee it's everybody's first AI. No, first AI. That was Clippy. Clippy. Oh, love it. Good. Even better than Clippy. Clippy was the first one. I want to write an app to bring Clippy back. Just bring Clippy back. We need to bring Clippy back. Like clock code. Now's the time. Clippy is back. Let's do it. Clippy is back.com.

[00:08:53] Like I'm sure that domain's available. We're going to bring Clippy back. Done. I'm bringing Clippy back. I'm going to wait for a song. We need a better theme song though. We're going to workshop this. I'll do it better. I can produce that one. All right. All right. We'll try harder. Last one. AI, try harder. Last one. Are you a crunchy or creamy peanut butter person? Creamy. Okay. Yeah. Full stop.

[00:09:18] Like if I wanted crunches in my sandwich, I would put potatoes in there. So I want to, I know you're the guests, but we have this unique opportunity. Yeah. And you'll tell he has no idea it's coming either. Yeah. That's going to be weird. That you both did the AI skills lab. So one, kind of let you guys go, which will be interesting to see how long I don't talk. Oh, are we going to arm wrestle? Yeah. Great. I will lose. It'll be interesting to see how long I don't talk.

[00:09:47] Um, one, you know, why you did it. And then the really cool things you saw yesterday. And then let's talk about how you guys pivoted to the, what's actually cool, too many people and love the no video screen for AI demo. Yeah. So I'll let, you know, the universe is testing my mental agility and, and how can I fill up airtime? Apparently I can fill up airtime. Let me tell you about how I, all the ways I can do it. Um, so in the middle of my, uh, session, I used to remember before the skills lab, um,

[00:10:15] I was talking about how, you know, AI is changing how we do things and, and really, you know, the barriers are reduced. And let me show you something that I use every day. And right when I get to the point and I'm showing that everything clicks off and apparently some, some wonderful AI tech, which they did, they've done a great job because at this conference, just want to throw that down there, unplugged all the monitors.

[00:10:41] And so as I'm like, here, I'm going to push play on, on this pre-recorded portion before we got to the unscripted live debate on stage with my AI verbal sparring. You had a backup plan. I did. Yeah. Yeah. Yeah. Um, so, but, but I didn't have a backup plan for the pre-recorded video portion of, of today's message. Um, and, um, it went out and people were like pointing at the stage. It's not there. It's not there. Okay, fine. Um, and, um, this is when I pivot and I'm going to describe in your mind's eye theater,

[00:11:11] look on the left side, you will see this amazing prompt by which I was just giving context and the content really is showing where all the files are and what's going to happen. And let me tell you about this. Okay. This is still going. And, um, like, okay. Plug in back. How hard is it to plug it in? Yeah. I'm like, oh, okay. Hey, I really appreciate the AV team. I'm like, uh, it's not plugged in yet. So let's talk privacy. Yeah. So data privacy and wow. Good pivot. It was good. Probably like two minutes, but it felt like 30 years of my life.

[00:11:41] Yeah. Yeah. Yeah. I mean, I, I didn't have as many tech glitches. Thank God. This is your session right after mine. Because you were coming in as we were before in the, in the morning when I talked about, you know, how AI is changing work. Let's, let's talk about what we can do is very inspiring. Like, you know, I found myself doing more motivational speaking. Got it. Don't be afraid of AI. Go out and use it. There's nothing in the way. You're afraid it's going to take your job. It's not. Yeah.

[00:12:07] But what's going to happen is the world will pass you by if you just don't try it. Yeah. But there's nothing in the way you don't have. Do I know Python? I've said before, but no, I don't. I don't know how to code VBA or do HTML, but my tools and systems do. Yeah. Yeah. Our pivot was different. So in my AI skills session, it was more, we did not expect it to be a presentation, right? So the premise of the AI skills lab, which I applaud world at work for the premise, and I think they were right. We just didn't realize how right they were.

[00:12:37] It was fingers on keyboard. Like, we are going to build something. I'm going to try this, which is really hard to do for 250 people who can't even sit down with their computer, right? So like that was our assumption that was wrong, was this is a hands-on. There were two of us. One was going to be sort of sharing. The other was going to be floating like you would in a workshop. Yeah. Yeah. That doesn't work when there's no room to float because the room's so full. Yeah. So we had to pivot to the one. And sorry, like this session is optimized for something that is now suboptimal.

[00:13:06] But like, how do we tell the story? How do we make it relevant? I have another one today that we fully pivoted. It's like now we know there's going to be an element of I just have to talk. And I learned from your experience. I saw what happened. Like, okay, I am also going to be pivoting. So I posted all my resources on my website, aamplies.org. And I was able to, even though not everyone had one of the laptops, I'm like, all right, you can pull it up here. Go to that site. We did the same thing. Here's all the things.

[00:13:30] But I still learn from your experience of, okay, here, I'm going to talk for just a little bit. Everyone while I'm talking is getting their materials out. And then I'm going to just walk around the room and be that lurker and encourager in chief and helping people realize that just because you don't have clawed code doesn't mean you can't use AI. Just because you only have co-pilot. Look, you can use other AI to generate like a Word document and just take it over so that

[00:13:59] to your co-pilot, whatever it is that you want, you're not really limited. Just go out and try. And how do you build your innovation ally? That's what we focused on is really not your yes person. Like, Ryan, that's the best idea in the world. Ryan, you have great hair. No, I have no hair. Not the same thing. Yeah. Being able to push back, having someone stress test your ideas, it's like your bright-eyed, bushy-tailed intern that can go do stuff.

[00:14:27] But on the other hand, you always need someone to stress test your ideas. And an iron sharpens iron. And one of the ways I found is like, I make a snarky, helpful AI agent that ARIA pushes back on what I say. It's one thing. Is that the name of your agent? ARIA? It stands for something. It does. Automated Rewards Innovation Ally. Oh. Yeah. I named mine Wanda for no good reason. Okay. Like, look. Is it a fish? So, yeah.

[00:14:56] So, literally, like, wow. I just feel like such an even more of a loser than normal now. One thing I observed, and I'm curious if you saw the same thing, you know, if we took a random poll of people's Excel skills at TR26, everybody's probably a 7 to a 10. Like, count people, rewards people. I don't know. Sean's probably a 12. And there are some that go beyond 10. I think people are open about the fact that use of AI, we're from a 0 to a 9. Nobody's a 10, right? But, like, a 0 to a 9.

[00:15:25] And the diversity of where everybody is starting is all over the place. But I like that most people are willing to admit it. Like, most people won't raise their hand and say, I suck at Excel. But they will say, I'm not there yet. I need to figure this out. I don't know if you saw the same thing. But we saw people willingly saying, I do not know where to start. Right. And where do I click? Part of it is kind of showing what's possible, right? So that's what I did during my first session. I ultimately showed another gratuitous use of AI.

[00:15:51] Not only did I just use AI to run monocular simulations for my March Madness brackets, which I won. That's another story. I also showed another gratuitous use where I verbally would talk to my computer and had my Cloud Code agent talk back. So I had a local server translate my speech into the Cloud Code interface. And then I picked out a voice through 11 labs and they came back and they talked to me. And we sparred about how many job levels should we have?

[00:16:19] And then after going back and forth a few times, thank goodness, Anthropics servers didn't go down. That was the one thing I didn't plan for entirely. But then I said, OK, Aria, make me a level structure leveraging Radford that's on my desktop. But I want nine levels instead of the seven levels. Go. And so then she just made the spreadsheet. So as we talk about using spreadsheets, I haven't made a spreadsheet in the last three months on my own.

[00:16:45] I just bark at my computer and my agent makes spreadsheets. Makes spreadsheets for you. Yeah. Yeah. Wild. I still auto those spreadsheets. Again, like any intern, you want to make sure that what they're doing, bright eyed, bushy tailed, they need some supervision. But how we're spending less time at our keyboard typing stuff out. Who wants to write documentation? Nobody does. Set up a meeting, record yourself, and then send it to your AI and it'll do it right there.

[00:17:11] But how do we break past talking to builders versus those who can actually use this stuff? Yeah. It's how can we reduce the barriers? Well, some of it is like, well, you can talk to your computer. Some people have a hard time typing, trying to get their thoughts out right, but they can verbalize it. Okay. Well, that's one way for people to be more verbal versus none. But as we think about how to reduce the barriers, it's also about how people just get started because now we're at a nine out of 10, but some people are at a negative 5.2. Right?

[00:17:41] What do we do about that? Yeah. I think we talked about earlier, I was stoked to see that because I said last year, I think the AI vibe was, oh shit. Yeah. And this year it's like, how do I use it? And I really think in an 11 month period, because it was not May last year. We lost a month. So even less than a year, in less than a year, I think it's come a long ways. And it's exciting to see the stuff you're doing, because I think they have gone to this and like the soapbox I get on you, if you're going to say, it's like comp wasn't like

[00:18:10] underworked before. Like, so there's not like you should be worried about your job. And I think people are getting over that. Like, actually, this is kind of cool. The news isn't helping in some other places where they are. But I think in our place in particular, in the world, there's just so much work. And so it was, it was, I think, you know, it was cool. World of Work did that. And then all of a sudden, I think they were like, oh my gosh, like really people are leaning in now. Yeah. Yeah. Yeah. And again, AI really is the great leveling force where it used to be you hired the smartest

[00:18:39] person in the room and got the best result. But now it's about hiring a person that has the right level of discernment, the right level of imagination to really bring things into life that didn't exist before. That's a good point. I think the other observation I have about sort of the AI use revolution, it puts, and I think this might be the same thing you just said, it puts a premium on asking the right questions, not generating the right response. So, you know, I tell this story recently, we had a client that was asking for something

[00:19:08] that it took me literally an hour to build like a proof of concept of using a VibeCode app, but literally an hour to produce something that would have taken weeks, not long to show them this is what's possible. And, but I'm like, yeah, but it was the, a few years of experience of knowing what to ask it to do was actually the premium. It wasn't the coding, the coding and the UX is easy in that circumstance. It's just a POC. I don't know how to code, but my agent does.

[00:19:34] But it's going to be interesting in my opinion, consulting in particular and other places where, and you've got a unique perspective, is the doing part of the job had value and the knowledge had value. And that, that's going to change a lot because the knowledge part, the doing, like you're like, why, why did I just pay you so much money for five minutes? It's, you're like, well, go to town, dude. Like, you know, try to figure it out yourself. Like what you ask Aria, how you do it, how it's set up. Yeah.

[00:20:04] Is, is more important now. Yeah. Well, in the traditional consulting model is leverage. It's about leverage and billable hours. Well, that's, that's the point. Right. So like you've got a relatively small number of hours from a small number of people and then an army of folks that costs less, but do all the time. And as that time disappears, how does that affect the way you think? I mean, I think you're going to see a lot more project billing stuff. Right. Which actually I think for practitioners is going to be super cool because, you know, and you want this, this is what it's worth.

[00:20:34] Yeah. This is what it's worth. But also I think the deliverable is going to change. Like I need that, like that app or that whatever, which means less like I'm going to need you next year stuff. So I think there's a lot of changes that are coming that cascade. It also gets back to now with AI, we can have a broader impact. So before we might be able to have time to manage three clients. Now we can do six. Right. But that also is context switching as well. Like, like to knowing your clients, you know, and going deep is also the other challenge. Totally.

[00:21:03] So what are you seeing, you know, not from all 250 people in there yesterday, but, you know, you, I mean, you're a huge advocate for it. What are the first hurdles and where if someone's at the minus 5.2, nice rampage, random number. It's a very specific starting RNG too. Yeah. Okay. So if they're at a minus 5.2, where, where would you have them start? Start small. Don't try and be like, I'm going to automate my entire employee handbook and we're going to have this giant project.

[00:21:33] Start small, but like, okay, help me refine this email in my own voice or help me do this with this, this spreadsheet. Help me find out this formula. I've been doing this thing manually for so long. It's every journey means a single step. Do something small because most AI initiatives projects fail because you try and solve for your entire handbook, not for just one part of the policies. Yeah.

[00:22:01] I like the one I've been telling people is have it write a job description because if you think about what LLMs in particular are best at and optimized for. Words. It's words, predicting the next best word. So improving, give it a job description, say, make this better. Yeah. Then learn, well, what happens if I teach it what a senior data analyst is supposed to be, level criteria, right? Put them in. Now make it better, right? That was our session yesterday and it's really good at that. And it, but it helps you realize what's possible.

[00:22:29] It helps you realize where context helps. And that's a great tangible. You can do it yourself. You don't need to buy a SaaS tool, sorry, Sean, to do what you wanted to do because you, if you know English, great. And can you articulate what you want? Even better, your AI out there can do it for you. So two things. First, if you're our, you know, audio guy on Quinto, you can also use Portuguese. Right.

[00:22:58] You don't even need to speak English. You have to know A language. You have to be able to speak A language. I'm getting accused right now. Yeah, yeah, yeah. I hope we feel guilty. The way I have people start, so it's, and it's also small. And I think that's the biggest takeaway, start small, is I replicate and do your own way. But I tell people to build a hundred person company. So I built a hundred person company, a hundred person SaaS software company, even though you're trying to put them out of business, Ryan. And I said in the, in the standard, you know, spans of control,

[00:23:26] standard number of people who give me average salary, make the CEO Wiley Coyote, it's Acme company and all the employees are named. Well, all the, yeah, all the, all the employees are Warner Brothers characters. Yeah. And learn from how you build your company because what ends up happening is it gave us 18 software developers. It gave you however many, it's actually, Claude built it, was pretty creative. Bugs Bunny was in charge of sales. Pepe Le Pew was customer support. Nice.

[00:23:56] But then you look and it had all 18 software developers had the same pay. It all had, and so it was grabbing and you can see how it works. And then you can keep continuing, like, well, give me random pay for this. Give me this. Write job descriptions for this. And so for me, what it ends up leaving you is a really cool company of non-Pi data. I mean, when Foghorn Leghorn calls me up and complains that I got his pay wrong and it's public, like, that's a cool conversation I'm looking forward to. Yeah. But I have this cool play set.

[00:24:24] But I learned, you know, for me even, like, and I'd started, and I come from development. So weirdly, for me, the uncomfortable part was, like, vibe coding yourself and not seeing the code. So it was the opposite side. But it allowed me to go through and be like, this is how it behaves and why I need to check and what I need to check for. And then I could keep building it out. And I'm like, oh, my gosh, this is great, you know. And, Sean, you hit it right there that you didn't take what came out the first time. You massaged it. You edited it.

[00:24:53] And so as you're getting started, don't just take whatever the AI gives you and use it. Actually read the output. Does it pass your smell test? You have been in the room for 5, 10, 15, 20 years. You've earned your place. Your gut instinct actually does matter a lot. Then it's all about, you know, AI is here to amplify what you're doing. But humans, at the end of the day, we're deciding with what the output is. So it's not, you can own that output, but you need to also make sure that you aren't owning a work slop or AI slop.

[00:25:23] That you're not giving up your thought process. I've told people the expectation of time saved in the first bit when you get started should be zero. And it's because you're going to spend as much time learning and checking data. But as you get more comfortable and your skills get better writing prompts and you get better with your tool and your tool gets better and you get more comfortable. Because now my Acme company is fully built out. I feel that the data that I put into a system is good. I have, you know, my own data governance for my company.

[00:25:54] But I spent time. Yeah. Also works there. Scooby-Doo's in IT, which I'm a little concerned, but that's okay. I'm curious Elmer Fudd's role. I can't remember. He's got to be a security. I was hoping he was going to be a new client acquisition hunter. Oh, yeah. He's a hunter. I'll have to go back and check. But you spend more time, I think, as you go. Like the time savings, people think I'm going to do this.

[00:26:23] And I think they get a little flustered because, well, actually, to write these job descriptions took me just as long as if I just did it. Yeah. But you're functionally ahead. And over a period of time, you will save time because your skills will get better to replace that. And I think that's the fallacy when people start is they get a little flustered like, well, there's all these time savings. And there's not when you start. In fact, if you're any of a nerd at all, it's a time vacuum because as you start to dig into it, you're like, oh, my God, this shit's cool. What if I did this?

[00:26:53] What if I did this? What if I just talked to my computer? Dude, it works? Okay, let's try something else. Like that's the whole builder mentality of what could be. But we also need to make sure that as we build things, we are bringing folks along for the ride, that they become engaged and not disaffected by what's happening. Because at the end of the day, we as humans aren't here. AI is not going to come up with the next best idea, next best product. Who is? Humans leveraging, amplifying tools. Yeah, totally.

[00:27:22] I would tell you if you name your AI buddy a female name, one tip would be tell your wife first. I was talking to Wanda a lot. Was this Aria person? Yeah. Aria, I think, might qualify. Aria might qualify. And so she was like, who's Wanda? I heard you talking to her. And are you on your headphones? Because normally I'm in my office and I just let it come out. And she's like, she talks back, you know, and the voices. I'm like, no, no, it's the computer.

[00:27:51] And she's like, I'm not 100% sure that's better or worse. But like. My wife's also nervous because she's a big Game of Thrones fan. And Aria Stark, not the most friendly character. Like she is driven for. She's like, don't get on her list. Yeah. Got it. Cool. Thank you, Aria. Yeah. We, this is great. You are easy to find online. Yes. As long as you can find the secret H and our AI guy or. AIamplifies.org. Okay.

[00:28:20] We'll make sure we get that in there. We ask everyone at the very end. If you could fix anything in HR right now, automagically, what would it be? That is a fantastic question. It would probably be to ensure that we are demonstrating and communicating what it is that we are capable of.

[00:28:42] That we ensure that our leaders, that we're not just giving them a bunch of walls of text, but that we can find a way that we can engage them personally. And so that we reduce the frictions to running the business. That's good. That's really cool. Actually, the AI plug I would put there is if you have getting things graphically for managers and whatever, some of those walls of text, it's a great way to give you a starting point. Like basically taking whatever you're not good at. AI is good at, you know, reasonably good at everything.

[00:29:11] So that's a great one. Yeah. I really appreciate you. Hope you guys have fun. Yeah. I really appreciate having you on. Appreciate all the work you're doing. Really do. Like the amount of advocating you're doing for AI and helping people out there for really, to be fair right now, zero dollars that you're advocating. You're just a big, I mean, you really are a big proponent of making sure the industry has the skills. It doesn't get left behind. You can do it too, Paul. You can do it. I don't have to worry about Paul.

[00:29:38] Paul and I, if we had our choice, we'd probably just go nerd out at a bunch of laptops. This is fair. This is fair. Let's have them debate each other. No. The two computers. Welcome to the botnet. Yeah. The problem is they, when you get agents talking to each other or you have MCPs talking to each other, you know, this podcast is three seconds long. Five, you know, 5,000 topics will have been covered. Yes. You know. Yeah. Yeah. Thanks, everyone. So make sure you give us a follow and we'll have all of Ryan's information out there. Thanks. Yeah. Appreciate it, Ryan.

[00:30:08] Cheers.