SPEAKER_02

Don't compete with AI, you'll lose. Collaborate with it, you know, become best friends, become partners, and then you'll have a great time.

SPEAKER_00

AI expert isn't their role. What would you tell them to make sure that they're getting the most leverage out of their efforts to chase the tools, let's say?

SPEAKER_02

Well, first of all, I'd say don't try. Just do it or don't do it. Don't try, right? You will feel very left out or delayed, delay into the into the game, you know, because a lot of things happen all the time. You look at, you know, my channel and I do some crazy stuff and you're like, oh my god, I'm not there at all. Am I missing out? Yeah. Don't feel like that. And because this is what we do day in, day out, when you're doing these trainings, what happens in 12 weeks? Like, how do you get started? We focus on behavioral change, redesigning how we work, redesigning how we show up, redesigning how we talk because we're speaking to the machines now. We're talking to the machines. Interesting.

SPEAKER_00

Tim Shakir went from DJing and sound engineering to helping global companies unlock AI's full potential. As founder of AI Operator, he's on a mission to make everyone more creative, curious, and future ready. Welcome to Using AI at work. I'm your host, Chris Daigle. Each week we'll be learning how today's business owners, entrepreneurs, and ambitious professionals are getting more done with smart use of tomorrow's tech. Let's get started. Right now, every business leader is asking the same question. What are we going to do about AI? If this is you, ChiefAIOfficer.com has the answer. We give you a simple path forward where we provide executive and team training so your people know exactly how to safely use generative AI in their day-to-day. We also manage the deployment and implementation to make sure tools actually get adopted and deliver results. And we'll also guide company-wide transformation so AI becomes part of your operating system, not just another shiny object. The companies that act now will increase productivity, cut costs, and grow faster than their competitors. Those that wait will get left behind. So if you want to make AI work in your business, visit ChiefAIOfficer.com and see how we're helping companies of all sizes finally get results from AI. Hey everybody, welcome to the next episode of Using AI at Work. My name is Chris Daigle. I'm the host of the show, and today our I'm very excited about our guest, Tim Shakur, who is the founder of AI Operator with a very profound mission that we'll discuss today with his efforts in AI. I first discovered him way before we ever got on this podcast. Because of the content that he was producing on YouTube, as an executive who's focused on the AI space and what that means for business growth, Tim's content was one of those resources that helped me really stay up to date. Trying to chase the tools and the developments that are occurring in the marketplace isn't an easy thing to do, even for somebody who focuses on this 100% of their time, and much less for somebody who tries to squeeze in a podcast here and there to stay up to date. So today I want to make sure that um you guys walk away with uh understanding how Tim is doing this because he's doing a fantastic job at it. So Tim, thank you uh for being here and welcome to the show.

SPEAKER_02

Well, thank you very much for having me and thank you for the kind words. And uh you know, I'm glad that my content uh gives value uh to some, especially if it's to you. I'm I'm even more excited now. Thank you.

SPEAKER_00

No, it's um So uh Tim, uh you you've had, as we just talked before we started uh on the mic here, you have had a pretty uh global and broad um career. If you don't mind, maybe just kind of run us through what that looked like and and kind of what the what you're historically you've been doing for companies and with companies and how you ended up as you know an AI thought leader who is you know basically in the laboratory all day long pushing the buttons what's working and what's not.

SPEAKER_02

Yeah, I think uh, you know, uh the funny thing is that finally I found what I love to do and and you know it excites me every day and every evening, even if I sleep less than than usual. It's just like it's so exciting, you know. So so I'm so happy that finally, you know, it took it took a few years uh to get here. Uh I'm actually a sound engineer and a music producer, like so. I'm a sound engineer, but I study by trade. I love electronic music, you know, techno. So I was always into some type of technological thing, but I didn't know what it was. I remember my parents got me a guitar, they said, no, you have to have a music, uh like an instrument. And I didn't like the lessons, but I had to do it uh because they never understood that producing music or or things like that was could be a job. So one of my first jobs uh was selling carpets in California, actually, in Los Angeles. I was selling carpets door-to-door throughout the whole US and stuff. Uh so I discovered marketing. I was like, oh, okay, you could show things to people all around the globe. You know, it was this was early days of Facebook, you know, when it just came out of invite only and and things like that. I was like, oh, okay, you can find people around the globe that could want your products. I was like, oh, this is marketing. That was super exciting. So so I really got into marketing, and that's when I was uh then I moved to London, London, UK. Um, and that's where I was able to actually kind of get my marketing into my sound engineering and music. I opened a studio, had a label, had radio shows, we had a radio station, like an underground radio station, and so on. That was really fun days. And I realized that I'm a sound engineer music producer, but mostly what I do is marketing, marketing the studio, marketing the shows, and so on. So I got into a media publishing company uh that was publishing magazines, uh like old school, you know, like paper magazines. Yep. And and I helped them digitalize their offering. Uh and I was like, oh, okay, I really like this. And from there on, I suddenly was marketing for tech stuff, um, so not just media and sound and magazines anymore, but really got into the tech world and I had the opportunity to move to uh Barcelona for some deep tech companies. And I was in computer vision uh for real estate, so image recognition, like I don't know how many years ago when nobody even knew uh what AI was, nobody cared what AI was. I was doing head of marketing, and yeah, I remember back then my CEO and I was curious. And he said, Would you like me to kind of explain you what our neural networks and so on and machine learning? I was like, Oh yeah, please do give me like a masterclass. So I learned a lot about it, uh, but I still continued my path uh throughout business, right? So I got into then uh growth hacking. Growth hacking was cool, right? Growth hacking was a trend if you remember, uh, you know. Oh yeah. I was like, oh, I'll I'll jump on that boat, you know. So so I I jumped on that train on that boat, whatever, and I did ride that wave. Uh I surfed that wave of of growth hacking. And um, you know, I went uh it was growth tribe in Amsterdam, they had a great uh course. Uh I became a certified growth hacker, and then we're doing these growth hacks and scraping databases and all that kind of stuff. Then I realized that that was not very sustainable, and then I really fell in love with operations. I was like, oh, okay, you know, it's it brings sales, it brings marketing, it brings, you know, uh growth, it brings all the stuff because growth is not just in marketing and sales, but then I realized growth is in the processes, growth is in systems. I was always a tool addict. Uh people I had a neighbor in COVID, he called me tooltime Tim. Uh, if you remember the the show home improvements, yeah. You know, he was my neighbor, really. We had that we had a separation in our garden, and he'd come to me and say, Hey, tooltime Tim, you know, you know, what's the coolest CRM right now? You know, and we talk about that. And he he started calling me tooltime, it was hilarious. Um, so at some point I had the newsletter tooltime Tim, and everything was branded tooltime Tim. I was obsessed about tools. People called me about tools, and then yeah, I became a COO. Um, so then I really got into those operational things. It was a B2B SaaS company. And I also uh throughout COVID, I had the opportunity to teach um uh at two universities in Barcelona because I did a couple of master classes after work before COVID, and then COVID happened. They said, Can you continue to teach? I was teaching, you know, I was good with technology. I had Zoom, I had my lights, I had this thing, you know, I had a stream deck with some shortcuts and stuff, and people were like, Oh, he's a good teacher. Like it was interactive, and other teachers couldn't do that. So the schools kind of asked me, Can you do more classes? I was like, Okay, sure. You know, I'd I'd love to help you. So I did a lot of teaching and I didn't realize that I I loved teaching. It's just maybe the topics that I did, I was sure. Yeah, I was teaching uh digital marketing strategies and technologies. I was teaching uh technology and business organizations, business intelligence, uh, e-commerce, um, because you know, I was I was in different industries. So I created all these curriculums, you know, making sure they were interactive online and so it was really fun. And then I had this opportunity that I was the growth consultant for a sales outsourcing company uh of 110 people. Uh, then I became the CGO and then CEO of that company, and I accepted the CEO role because of the title and you know, money, and I was like, oh, you know, I've done it. I gotta, you know, I I I'm getting quite far quite quickly. Just accept it, go with it, even if you have no clue what to do with it, you know. Yeah, it's uh yeah, you know, just just hustle. Um, luckily, throughout that first year and a half with that business or the to the towards the second year, uh, ChatGPT came alive, right? That was about three years ago. Yeah. Uh November 2022. And I was like, oh, this is exciting. Uh and I I I kept playing with it every night. You know, uh, I always say this, and my wife thought maybe I had a mistress, you know, she's come and check, like, who am I talking to? And I was like, don't worry, is this technology, is this is this non-language model thing that we can use now? It's it's terrible at at everything, it's terrible at humor, it's terrible at poems, terrible at joy. Like it was it was awful. But it could but you could see that there was something like that was gonna happen. Like, I don't know, but I saw I was like, oh, okay. So I kind of pushed the limits, I tried new things with it, and I was like, oh, okay, it's not really good the output, but if the output gets better, we will have a very interesting technology in our hands, you know. Then everybody was like, you know, it's just a predictor of words and kind of stuff. And I was like, maybe, but you know, um, there's so much more to it. Um, and I really put my full time into that while I was the CEO there, and then my business partners were like, You look bored from this, you don't want to do this anymore. I was like, Well, how did you get it? You know, and they're like, You're so into this chat GPT thing, aren't you? And I was like, Yeah, absolutely, I'm I'm very into it. I trained the whole team, and you know, I was like, I talking chat GPT, chat chpity every day. Uh, and you know, it was still GPT 3.5, maybe, you know, something like that. So it wasn't good at all. Um, and luckily, my my business partner was again my business partner in this business, by the way. Uh, he he kind of said, he said, All right, what do you want to do? I said, I think I want to train humans, you know, I want to train people um on AI, on on this thing, you know. Uh, and he was like, Well, let's start a business. And luckily, we had this um client in the other business that that I helped train their team on AI. Uh, and they were like, Oh, okay. So I suddenly had a product, like it's just because somebody asked, you know, I had a product I service, which was a training program. I did it once, and I was like, oh, this is really cool, right? So created a company, AR operator, um, and and suddenly we were training Google uh on Gemini, you know. So the Google team in Munich uh came to us to train them on Gemini. I was like, is this a career joke or something like that? You know, yeah, uh and apparently not. And uh and then I realized that I was quite good at training, you know, because I had that teaching experience. I hated school when I was a kid, so so I could completely teach in very different ways. Like you if you ask me something back then, I said, Did you Google it first? And if they said no, I said then I don't answer it, you know, go Google it and then we can talk. And then now it's like did you chat GPT it, you know, or similar thing. Yeah. Um so I always took that approach, and then suddenly I find myself here, you know, we've ski we've we've trained about 25 plus companies, thousand plus employees, team members across these companies, um, and the demand is huge. Um and uh, you know, and um and I really did find what I love, and because of that, uh, you know, as we were discussing, you know, I love every night, you know. It's uh yeah, because because I'm in Turkey, what happens is that I get the new features at 10, 11 p.m. just as I'm about to go to bed, which which sucks. Yeah, because then I'm like, oh shit, I'm not sleeping again tonight. You know, and uh 3 a.m. I'm like, no, you're gonna sleep because you're gonna show up for the kids. A lot of people are gonna take it to school. Yeah, but when you're in the US, at least you get it in the morning or in the afternoon, so you got time, you know. Um, but yeah, that's that that's how we got here. And I think that um luckily um people enjoy the content that I'm putting out there. I I love uh putting the content out there because it makes me practice and I like to show the transparency of me testing things and telling you if it's good or not, and why it's good, why it's not. Um and this is uh why I guess I'm in this uh great podcast of yours, Chris.

SPEAKER_00

Yeah, well thank you so much. Now that's fantastic. And it's it's that quote I think it's attributed to Steve Jobs, but it's easy to look backwards and see how all the dots connect, right? The COVID experience with oh, I'll teach. Oh, this is actually kind of fun to where you are now to where you're teaching you know tens of thousands of people, maybe hundreds of thousands globally with your uh your channel. You know, one of the things that when we're working with uh let's say you know companies, executives, they're not necessarily their introduction into AI isn't at a strategic level about how this is going to transform my company. It's they've seen some AI magic somewhere, right? They pushed the button and the video got made or the the image, oh look at me, I'm on Mars, whatever. Um and it it's even at that level where they shouldn't be distracted by the shiny object, there is this uh impetus to chase the tools, right? With all of the the advancements, and you and I we've we've had a couple messages back and forth, like as things have happened with new releases and that sort of thing. How do you stay on top of it? And how would you recommend and and again this is what you do, how would you recommend somebody who is trying to stay abreast of things that that this isn't their role, AI expert isn't their role. What would you tell them to make sure that they're they're staying on top of things, but they're not necessarily that they're getting the most leverage out of their efforts to chase the tools, let's say?

SPEAKER_02

Yeah, well, first of all, I say don't try. You know, that's the first thing. Don't try. Just do it or don't do it. Don't try, right? I think is is is my uh you know, uh my business partner here he and he also my business partner had told me once, he said he said uh saying trying is that you're accepting the failure, right? That there's a big chance that you're not gonna be able to achieve it. It's like if your wife's at the airport and she says, Oh, I'm coming at 11 p.m. You don't say I'm gonna try to come and get you, I'm coming to get you, you know. Uh if you say try, you put already a big percentage like, I might not come, right? Uh so so so that made a lot of sense to me. And I'm trying to get that, I'm trying, you see, to get that word out of my dictionary of trying things. And sometimes my wife says, I'll try that. I'm like, no, I just go get it done, you know. Uh so I took that approach of just getting it done. Uh, but uh to people out there, you know, you will feel very um very left out or or or or delayed, late into the into the game, you know, because a lot of things happen all the time. You look at uh you know my channel and I do some crazy stuff and you're like, oh my god, I'm not there at all. Am I missing out? Yeah. You know, don't feel like that. Um because you know, we're as you said, Chris, this is what we do day in, day out, you know. Uh so I gotta, you know, one of my responsibilities is to be up to date, uh, so that you know, uh, people around me, clients, partners, even uh people in my family, you know, they that when they hear something or something else, they ask me. You know, they don't go and they don't dig, they say, Tim, you know, how's that image model? Is that ready for you know production? And I'm like, no, just wait. You know, this is you know, last year, okay, it was image year, the year before was text year, this year was voice year, next year is video year. You know, I kind of also try to predict some stuff. You know, most of the predictions have been good, apart the the Google prediction of like I thought Google Gemini would have been awesome uh by the mid of this uh this year, uh, which is uh you know 2025, because um I'm guessing we're gonna have this in 2026. So all predictions are correct. Uh, but if you look out in news and you try to follow the news, you are going to feel like you're behind of all this, you know, and you're gonna feel frustrated and you're gonna feel sad and you're gonna feel like you're losing, right? And if you feel like that, you're not gonna achieve great things. So I would suggest, you know, maybe choose one or two um, you know, thought leaders, uh, you know, content creators, and be careful with content creators, I would say. Yeah, but be careful with content creators. I know a lot of content creators on LinkedIn with hundreds of thousands of followers, and then they put something and then it's wrong. And I'm like, that's wrong. You know, that's not how you do that. And they're like, oh, on the comments, and then I've seen a lot of this, and I kind of I don't do it uh to make them look bad, but I want people to realize that it's false information, right? You know, um, so so I get involved in these things. Um, you know, so if somebody their primary goal is to create content about AI and to make money uh from creating content, they'll just do anything, right? But if they have a business, you know, and they're selling automation, they're setting training, they're setting something, right? Um or they they have a community that they're sending some community membership or so on, right? They are gonna make more real content, like genuine content that actually helps because their job is not to create these hooks just to get people uh read something that is not true and grow in numbers and then get advertisement. Uh, you know, lots of these posts on LinkedIn, you know, and LinkedIn it doesn't say ads, right? Sponsored, you know, like in Instagram, a lot of people will say sponsored or things like that, you know, or on YouTube, but on LinkedIn no. So a lot of the posts that you see is companies spending thousands of dollars per post uh just to put their uh their application out there. So I'd say, you know, choose one or two great thought leaders like yourself, like hopefully hopefully me, you know, uh follow us. You know, do we have newsletters? Do we have a community? Um, you know, and and get involved, like put yourself as well a limit, you know. Hey, every day, 30 minutes, an hour, I'm gonna I'm gonna check this out. And maybe put yourself also an hour of testing things, though, right? Because you watching me do things on YouTube, it's great. But you taking that and trying it yourself is gonna take you that to the 10x right away, right? You're gonna be like, oh, he did it. Let me try that. Oh, okay. And then you get an idea on how you can run this for your process, for your day to day, for whatever you're doing. So I really recommend, you know, taking some time not to just consume, but to create, right? And I think that's this is why we're doing good because you know we create a lot, and then I consume a little bit so I can create more, right? Um, but if you I think this is what's gonna happen, right, in the AI era as well, while while we're at it, is consumers are not gonna achieve great things, but creators will, because you know, now we can vibe code now, we can do things. So you can keep you can keep creating incredible star. So we're gonna have the consumers, right, and the creators, right? So which side do you wanna be on, right? And and when I say creator doesn't mean you have to create a whole new company, you can create a process for your reporting that you have on Fridays.

SPEAKER_00

Yep. Yep. You're still a creator. You know, that that's a great distinction. Um you know, you learn by doing, right? Not necessarily exclusively by watching. And for anybody listening to this, if you're not sure what how do I test, go watch some of Tim's videos. Watch how he's testing, mimic what he's doing, mimic the thought processes that he's uh you know exhibiting as he's uh pushing this button, trying this process. So Tim, you you you mentioned um kind of some eras with text, then there was image, and then there was voice audio, then there's video, yeah, yeah. Video. Most of our audience is uh business application. Let's talk about the text, we got it. Image, certainly on the the marketing side and creating ad creative and things. Yes. Especially with Nana Pro now, yeah. Beautiful, right? But voice is an area that I've been very interested in because of its application in sales. If I could have outbound bots that did not sound synthetic, that were able to even if it was just to hand off to a live person, right? That would be fantastic. Do you think that tech is is here?

SPEAKER_02

Uh I absolutely think the tech is here. Uh I don't think the humans are ready for an outbound call done by an AI. Uh, but I think that we are ready for a kind of when I say an inbound call doesn't make sense. But if I fill up a form on your website and then the second after, if I receive a call that is gonna help me, you know, book something or be quick at it because of, you know, because AI is calling me, I think we're starting to be a bit more comfortable with that. But if from the you know, out of the blue, if something calls me and it's an AI and I understand that, it's like, oh yeah, this is cringy, right? Because we don't even, you know, I'm I'm sorry, but you know, uh, I don't even check if I don't know a number. There's a 99% chance that I'm not gonna check and I'm gonna say more message me, who are you? You know. Um and that's happening more and more, right, for everybody. So I think that the outbound route, uh humanly, we're not ready for it yet. And I don't know what's gonna happen there. And at some point it's gonna be bots calling bots, I reckon, right? But the bots are gonna answer. You know, so that's coming. So I think that the voice of technology, we are there, you know, the latency is there. Uh you know, I think that the quality of the sound is there. Uh I think that that's all there now. Uh, but there are some great use cases, like you know, the one that you know, you fill up a form, boom, you get a call, you get a qualification call, you know, you request uh a call, you do something. And you know, we're just closing a client right now. Um, they have a really great thing, and then apparently from when they fill up the form, a lead fills up the form, it takes about 48 hours on average to get back to the lead. As a human. As a human, the human gets back in 48 hours and they call back, and then sometimes the people don't remember you know what they filled up as a form, you know, and they're like, Yeah, not anymore. I already booked, I already did. So you've lost that 48 hours. But what if an AI could call you right away and say, hey, thank you so much for fitting up? I have some clarification questions. Okay, great. Yeah, I'll get this clarification. Okay, great. And then because of those questions, you could potentially even send a proposal or you can send them to the next step and not wait forty eight hours for a human. Speed delete. Yeah. Yeah, speed delete. So so whatever we can do to speed the uh to lead from an inbound perspective, I think voice is incredible at that right now. Um but not an outbound. Uh well any favorites? I mean at the end of the 11 labs sounds awesome because I have my voice there, you know. Uh but you can with the API you can put it in anything. But uh I hear everybody uh using VAPI V API for all the voice stuff. Um, you know, so I think that technology-wise, that's there. Uh so a combination of of knowing, you know, uh knowing how to create a great voice on 11 labs uh and the API and uh something like uh VAPI, you know, I think that you have more than enough. And if if you learn a little bit of NA10 as well somehow to connect everything and and have some kind of uh integrations into your different platforms and so on, I think you're good to go to build voice. And and I s I hear a lot the last especially few months, uh everybody's like, oh, you know, I'm building something around voice, you know. Uh what do you think about voice? So I think that uh yes, it was the voice year, but I think that towards the end of the voice year, we're realizing that there's a lot of great use cases. Uh but if I may uh add something, I think for voice, the thing I'm excited about, it's not even inbound or outbound calls, it's my assistant on my AirPods. Right? It's somebody that I can somebody that I can speak to, my chief of staff, which is an AI, and then I can speak to, and I'm walking, you know, I'm walking in this beautiful uh beach town that I live in, and I go for a 30-minute walk, and I'm like, hey, you know, whatever. I I don't want to call it Siri because Siri is awful, but you know, it's like so you know, whatever, ChatGPT, right? You know, what are the emails that you can't answer to? And it says, Oh, yeah, well, I've answered eight out of ten. Uh, you know, I was sure about those. These two I'm not sure. What are you not sure about? You know, I'm not sure about this and that. I'm like, okay, yeah, well, price them a bit different. All right, did you send that? Yeah, great. Can you learn that the next time so that you know you can tackle the old 10 out of 10 images? Yeah, of course. I put that in the memory. Great. Well, how's my calendar today? It's great. Yeah, blah, blah, blah. It's like, uh, well, did they put an agenda for that meeting? No, they didn't. Can you send them a message and ask him for an agenda uh before that? Because if not, it would be a waste of our time. Yeah, I've done that message sends, you know. Uh what else? You know, uh oh, we have we have to send an agreement. Well, can you send it? Oh, yeah, but I'm I'm unsure about this. Do you want uh you know this pricing and and these terms? Yeah, done. All right, put in 30 minutes. I've achieved so much work that potentially would have took me half of my day in my desk. Yeah, and in your desk, actually, as humans, we are not meant to be working on a desk like this the whole day, right? Yeah, and how did I understand this? In between calls, I started because I have uh this uh plows necklace. I don't know if you know plods, plows. Yeah, it's a not a notebook. Yes, I I have that one, and then I got the necklace because it was really cool. Yeah, exactly. That's a that's a perfect tool. So I got the necklace, and what I did is like I'd get very inspired from the call where I have an idea, and I would just go for a walk. Yes, and I and I just click on my necklace and I'd be the crazy guy in the streets, you know. It's a beach deal. There's not many people, luckily, but I'm talking to myself, you know, that guy he's crazy, he's completely lost there. So I'm talking to myself, boom, I come back to my desk, it's it's on my computer, I put it on Touch PD on a project of strategies or whatever, like that. Boom, it's kind of uh creates a step-by-step thing for me, you know, and then I even know because of the project's custom instructions or whatever, it knows who I'm gonna delegate this to. I put it on Slack, or I even say, you know, create tasks now or Notion for this because I have the MCP, it creates all that. Yeah, wow, and before that, I would have been like, oh, I have this idea, let me open up a thing. It just wasn't hours in the day. There wasn't not enough hours, and also I think that um this, yeah, I mean, even if I have beautiful windows seeing the beach, you know, it's not the same as me going actually for a walk on that beach. And for a walk on that beach, I was very like I think my best times lately has been when I'm outside my office. Yeah. And so I think the voice is there for that.

SPEAKER_00

Yeah, you know, for any uh listener, if you've got a commute into or back home to and from the office, maybe you don't have the uh the beautiful scenery that Tim's blessed with. However, that that 30 minutes, maybe you listen to podcasts, maybe you listen to the news, maybe you just listen in silence and get some chill time. But if you were able to go, hey, I got this idea and AI was able to say, Okay, let's go for it. Tell me, what do you got? Right. And before you even get into the office, what does my day look like? Exactly what Tim's saying, well you got this, this, and this. Okay, for that, do this. Hey, for this, tell them to show up instead of me. Like the amount of time, because you know, as a business owner, it's not the doing that's so important. Really, the the highest leverage activity is the thinking part of it, not necessarily the doing, because now we've got AI, we've got a team or whatever that can do the delegation. But if you're spending that time doing or preparing to do mi huge missed opportunities. So I'm glad to hear that. Let's talk about 2026 and you're saying video. Obviously, the the the creative um uh elements of it easy to understand. Let's say, let's say that video gets to the point to where audio is now, like AI-enabled audio. What are some business applications for people listening to maybe go, oh, I didn't think about that? That would be, you know, that'd be huge.

SPEAKER_02

Yeah, uh there are many. Uh and if I may answer this, but before that, I'm gonna I'm gonna give another quick tip because I realized on on the on the voice stuff that I was going to drop my daughter uh to school, 20 minute rides, and on the way back, I was on my own in the car listening to music. I have a great Spotify playlist and stuff, but I was like, I wanted to be productive. So what uh what we did is we did an automation uh that would catch me up on 15 different newsletters about with a custom podcast, right? With a custom podcast just for us at 9 a.m. it delivers to my Slack, and on the way back I just click that. I was on my car play and I listen to this 10-minute podcast that takes 15 about 15 newsletters that I love, and yeah, I don't spend two hours reading newsletters anymore. Every morning I get this 10-minute podcast, and then I'm on top of the news, like you were asking in the beginning, right? So I think that there's so many other use cases for this type of voice stuff.

SPEAKER_00

Before we go into video, I want to get geeky and talk about what that stack looks like. Yeah. So in and if you're a listener and you're like, well, you know, I'm interested in AI, but I don't need to read 15 newsletters. No, but your industry information, your professional information can certainly just plug in a different widget here. So what is that what does that stack look like to be able to achieve this?

SPEAKER_02

Yeah, it's very simple. We actually uh use one of our Gmail addresses uh to subscribe to all these newsletters. Uh we have a label in Gmail automatically labeling these newsletters. Uh and then we have make.com, which is an automation platform, an integration platform like NA10 or Zapia. There are many others that you can do the same thing. Uh on make.com uh we uh we check for that label, uh, and then we take all that information, we uh clean up all the content of promotional content and you know, sponsor things inside these newsletters. Uh we concatenate all of it, make sure that all the information is the information that we want to know because 15 newsletters, there's gonna be a lot of duplicates as well about the same news, about the same thing, and a lot of things that we don't care about that's gonna happen. Like if it's negative news about you know uh AI stuff, I usually don't check. I'm on the positive side, I really want to focus on that. Um, so we have a very nice couple of prompts that will filter out all these things, and then it creates a script. Uh, and then the script goes to 11 Labs, uh, and then 11 Labs uh creates uh the the voice, the podcast itself, uh then it brings it back to uh make.com and then we deliver it to Slack. In the meantime, we store it in our Google Drive, we give it a podcast number just so that we can have all this information for ourselves. Uh, but then on at 9 a.m. on Slack is like, hey, AR operated team, today's news is this, this, this, this, this, right? And my whole team, we're very small team, we all listen to this and and we're and we're aware of the latest news.

SPEAKER_00

Yeah. Interesting. So, you know, I uh you you mentioned your ops background and that you got like I'm much more operator than I am the visionary, right? So I I I see the elephant a bite at a time, right? It's very easy. And that's what you just described. For those of you listening, if that sounds hard, talk to whoever handles operations or whoever's more process-minded in your business and say, How could we do this? If that's not you, don't worry about it. It doesn't mean that you can't play this game. It just means get somebody who's thinking that way.

SPEAKER_02

Ask AI.

SPEAKER_00

I mean, if you right now, like I always say in my training, automating the automation.

SPEAKER_02

We are in the phase that we're almost automating the automation. Yes. Today you go to make, make has a co-pilot, you tell it, or Zapi has a co-pilot. You say what you want to build, it builds it for you. And not 80 to 90 percent of it works, you know, and then the 10 to 20 percent doesn't work, but this is across everything, you know, it's uh to our training program, they're like, oh, I got to 80, 90 percent. I'm like, don't worry, the 10, 20, it's not gonna work, right? But it's fine. You know, it's okay that you pushed it to that. Right? So so I think that you can ask AI. And you know, people ask me, like, what should I do? Or other I'm like, did you ask AI? Like, you know, just say what you do. Yeah, yeah. Ask me, ask me 10 questions about my job, about what I'm gonna do today, and then help me automate it. And you'll be very surprised. You know. So I so I think uh that's that's very important. And anybody can build anything almost now. You know, if you go to Google AI Studio and you tell the app idea you have, uh you have a full working app with AI features ready for you. It's like, what the you know, where are we living?

SPEAKER_00

Yeah. So hey, for those of you listening, like you're gonna want to we're gonna have a list of all the tools that we mentioned, go through all of these. What the ones that Tim's are mentioning? Two things. One, you can learn how to use them pretty quickly, at least, you know, baseline level usage. There's not a huge learning curve. And two, natural language is all you need. You don't need to be, you know, as an educator like like you on AI stuff, that's my number one tip to people. Well, what about go to the models? Well, how do I go to the models? That's like my mantra as well. When we get questions in our certifications and things like that, can I answer the question? Sure. However, by me getting you to essentially, you know, the equivalent of did you Google that? Right? I'm helping that individual develop that new reflex of, oh, I'm stuck. Oh, wait a minute, no, I'm not. Hey ChatGPT, hey Gemini, hey Claude. Like, go to the models if you get stuck. Make that your your new reflex. Does it get you 100% of the way? Maybe. Does it get you further than you were when you had the question? Absolutely. So that's great advice.

SPEAKER_02

100% it'll get you uh, you know, more than 0%, right? If you don't do anything about it and you wait for an expert, you wait for somebody and you want to book something, you know, you're already late. But come to an expert, come to us with done your research, tested things, and you failed. Because if you do that, then oh, you failed at this, that's fine, right? So you've kind of done it 80% again, right? And one, you're gonna pay uh less and you know, and you're gonna learn a ton, right? And uh I think it was yesterday in a new training program, uh they uh there was a question, and the question was like, you know, what's gonna happen with AI taking the cognitive the cognitive um you know behavior of of humans and so on. And I was like, I was like, well, if you don't read the reasoning, if you don't read what it's doing, like how it's thinking, right? Yes, then yes, if you just look at the output and you go you roll with it, you're in trouble, right? But if you read the reasoning, you it's it's it made me much more intelligent, right? Because I see like how it thinks things and some frameworks I never heard, and then you go into a rabbit hole, you understand those frameworks, then you put a notebook LM, and then you suddenly create a notebook for yourself and you learn the whole area, you know. Like if you're curious, this is the best time to be alive. And I'm very curious. So this is why I think I'm I'm very excited about this. So uh what I uh what what I also want to meet is say is that um, you know, uh you said it yourself, you know, ChatGPT Gemini Cloud. There's so much, there's so much free stuff. You know, you can go today to you can go to ChatGPT today and say, hey, give me a four-week plan on understanding what are large language models.

unknown

Yep.

SPEAKER_02

Oh give me a four-week plan, right? You can even go to Gemini and say, find me for this four-week plan all the YouTube videos I should watch. It's gonna find all those, right? So so so so it's unlimited. You know, like it's unlimited, you know. The only blocker is ourselves. We are the limitation.

SPEAKER_00

Let's let's talk about that because we we we kind of uh became aware of this process that occurs. We call it thinking in AI. It's a moment where maybe you're showing somebody they're doing something and something clicks and they go, oh, wait a minute. That means I could take it to Chat GPT and ask it to create the four-week. Oh, and then I could, and then I could, and then I could. How do you facilitate that? I mean, I'm sure you've witnessed a similar aha moment where it clicks, the matrix unfolds. How do you help facilitate that for people?

SPEAKER_02

Yeah, I think the aha and the wa moments are the moments that I this is why we have our business, you know, in our training programs. And I see everybody, there's you know, 75 people on the screen in little little little squares, and and then I see in their eyes, I show something, they go, they go, Yes. And then I see I'm like, oh, you know, Chris got the aha moments. You know, it's like, oh yeah, I was thinking, and then I'm like, you know, unmute yourself, tell us, you know, and then says it across everybody, and then everybody's gonna go try that, right? Things like that. So how we facilitate it really is you know, we learn like how we do our training program is that we survey everybody. So we know every process, we know every everything that everybody does, not everything, but most of the important processes and systems and tools they use uh in their jobs. And our program is fully custom to the company, custom to the team, custom to what they do. Um, so then I do that task, right? And and I do it, I'm not an expert in that industry or that task, but I'm an expert in AI, right? So I open up an AI and a feature, it could be a deep research, could be whatever it is, and I do that, and I see people go, and they're like, What? You know, it's like that took me five hours the other day, he did it in 15 minutes, right? So if I get that reaction from people, then after that they message me. You know, they're like, Tim, you know, how did you do it? Like, well, I showed you, you know, test it next week. Come and tell me how did that go. So we're always focused on their job and what they do, right? And re-kind of showing them how could they do the that task, that job, that system, how can they do it today with the technologies that we have in our hands, you know. And the second I show that, I really get uh very big uh adoption very quickly in our training programs. Makes sense. That when that happens, that's it, you know. That then it's a beautiful journey because you know you get that in week five. We do 12-week programs, so in about week two, three, we've got ma most of the people, the skeptics, week four, five, latest week six, everybody's on board, right? Uh, if there is one or two people not on board, they have a fixed mindset, they're not even the right people for your business. So that's a good point.

SPEAKER_00

Hey, so I want to talk about that a little bit because uh you're doing a couple of distinctions. One, as you were saying that, as you're looking for that training, right? What what you just mentioned was you have context on who's going to be on the other side of the Zoom window, right? Because you've done some surveys and you understand. And I think that for those of you that are wanting your teens to get trained up and that sort of thing, very important distinction. Rather than going into broad conversation about the subject matter, apply it contextually, and I think that that will accelerate that aha moment. If I see that somebody made a music video with AI, oh that's cool, that's amazing. But if they're doing something specific to my role, it's very easy for me. So that's a really good takeaway from me. Second thing, what percentage or or what category of individuals are you seeing that that aren't getting it necessarily or or are hesitant? Because change management is a concern. You you if you as you're rolling this out in your company or you're wanting to be the champion internally and lead the conversation, how do you address those people that uh see it as either they don't get it, they see it as a threat, the fixed mindset. I mean, the point of they're not a fit. Maybe they were a fit before AI entered your business, but as your business is transforming into what is necessary for economic viability in the future, you need to reconsider those people. Like are are you seeing any patterns that maybe we should look for as far as individuals who might be friction in that enablement or or literacy effort?

SPEAKER_02

Yeah, this is a bit this the more the sadder part, isn't it? They were a f they were a great fit because they did nine to five and they just did these processes, they didn't have to think, you know, uh and they just step by step and they just did their job and at five o'clock they they clocked out and they're like, oh, I've done my job for the day, and you know, you were they were great. And sadly, these are the people who are gonna lose their jobs, you know, in this hundred million people losing jobs by 2030. If that's happening, these are the type of people that are gonna lose their jobs, right? Um, and I think in that is from from that category is the ones who have a growth mindset and they like to learn, even if it's even if it's not at work, right? So so maybe maybe they're doing that nine to five and you know, and they've been their job because they earn money and they have kids, but you know, they go home, they have a record collection, you know. Uh on Sundays they buy records, they go to parties, you know, they play piano, you know, they play tennis or whatever. They they have hobbies, they have things they want to do, but work never was a place to be proactive because there was money and that was it, right? Yeah, um, so those people still have a very big chance in AI, right? Uh in this new economy because they can learn and they can uh experiment and and again they'll realize that aha wa moment, maybe when they're planning uh their uh you know their next art exhibition and they use ChatGPT to help them plan where they're gonna put certain art and they're like, oh, I never thought about that, right? So they got that aha wa moment, and now the only thing that is missing is how do they connect it to to work, right? And potentially they're gonna get a new job or whatever. So those people are okay, but I think that the people that are not gonna do really well is really the fixed mindset people, right? They're very fixed mindset, they don't want to learn anything new, they complain about a lot of things in life, they watch a lot of news, right? And they're like, oh, everything's dark and gloomy all the time, right? And if they stay like that, then AI is dark and gloomy.

SPEAKER_00

So, Tim, you you've mentioned the training that you're doing, and I find it makes a lot of sense to survey in advance, understand the context, and not just have a one size fits all when you're doing these trainings. What does it what happens in 12 weeks? Like, what are you covering? How do you get started? Where do you end up with 12 weeks?

SPEAKER_02

Yeah, so our 12 weeks is really uh we focus on behavioral change, right? As you were saying, right? It's it's not uh these are not hard skills, these are soft skills, these are behavioral change, this is habit changing. This is this is really redesigning how we work, redesigning how we show up, redesigning how we talk, because we're speaking to the machines now, we're talking to the machines, right? Um so so so that's the program, and we break it down into three phases. So, first of all, we do a survey. We do a survey throughout everybody, everybody fills up a survey, right? And that survey uh gets read by me very quickly in certain places.

SPEAKER_00

What are you looking for in the survey? Are you looking for like already are are you already using the tools, or are you asking more tactical, like what is your job and that sort of thing?

SPEAKER_02

So it's a combination. Is the first is what is your job? What do you do daily? And then it starts going to you know, um, what is painful in your job? You know, what what sucks? Actually, what sucks? You know, it sucks that I have to do reports on Fridays and you know I have to create these presentations for the board or whatever. That sucks, right? That does suck, right? If you had the magic wands, you know, what would AI do for you? Yeah, things like that, you know. So we we go from very what you're doing to very inspirational uh of what AI could do, why are you worried of AI or do you love it? Can you tell us a little bit more? They're all open text, most of the uh it's about 10 questions. They're all open text, you know, um long text formats, and we tell them spend 10 minutes, you know. Uh you know, you can dictate to it, you can send a voice note if you want, you know, you can you can write if you want. I don't care. Just put what's in your mind into these, into these questions, right? Answer these questions. We take all this, we have multiple agents uh now uh that do the job, of course, and they analyze everybody, right? But they analyze this comfort level, pain points, um, you know, uh wish list, you know, uh and if they've tried anything and and if you know if they have any question about uh you know security, privacy, things like that. So anything that we need to flag and so on. So we do that across 100 people in a company. Um and then from there on I get a uh a kind of survey analysis where I have the top pain points in the company. But first of all, I understand what does the company do, right? And what does each do and how kind of contributes to each other uh and it contributes to the big picture. Uh, and then I get these pain points, the top five pain points, right? These are great because that's if if we start training with that and and we reduce those pain points, you already love us. In the context. Yeah, and you're like, I love these guys, you know, and you tell your CEO you love us, the CEO says, Yes, chick, you know, like return investment is already starting, right? So because what happens a lot is that uh, as we all know, there's a lot of fear out there, right, that AI is going to replace us. But when a company hires us and spends money on us, and we're not cheap, right? Uh, and I say it in a nice way because I know the return investment is huge and you know uh the the value is there, uh, you know. Um I'm saying that because a lot of people will come and they'll be like, oh, that's expensive. Yes, it's expensive, but you know, when I show you 750% return on investment uh in the next 12 weeks, it's expensive. Yeah, uh it's it's fine, right? Uh and uh and also, you know, one thing is your team's happiness. Your teams are all fearing, yeah. And they're like, oh shit, you know, I'm gonna get removed. I'm gonna re Yeah, if somebody books a meeting, like a manager books a meeting with one of your team members, and oh shit, okay, that's it. That's my they're letting me go. Uh You know, AI has replaced me, right? So there is there is the sphere going on. And then suddenly you get everybody and you say, There's this company, Air Operator, they're going to do an introduction session for us next week at this time, right? And then you see me and you're like, oh, it's fun, right? And I tell you, look, AI is not smarter than you. You have the context. AI just has a lot of data, but it doesn't know what to do with it. You're the one who knows what to do with it, right? So if you, as the context machine and the context engineer now, has all this technology behind it with features, but with also all this data around the globe, right? And if you get together, you are unstoppable. The human versus the AI bench, uh, you know, there's so many benchmarks, and all benchmarks are human versus AI. There's no benchmark which is human plus AI, right? Plus AI. Yeah, no, there's none because it would crush all benchmarks, right? And so nobody wants to do, so nobody wants to do that benchmark, right? Yeah. And also negative news and uh sells, right? So it's negative news amplifies. Positive news, you know, when do you open uh a news channel and it's like happy news? It's very rare, right? It's always very dark and sad news because that's how we get brainwashed, right? So that's how you can brainwash humans, right? Uh and then and then get them to consume and fear and so on, right? Uh so I always, you know, I I have to do it here as well. I have this love not fear. Uh yeah, we have this love not fear approach to everything, you know, it's uh every decision you make uh uh in life is out of love or out of fear, right? So so I'm pushing, not pushing, but in an in a in a way from our first session, we're showing people that you know if they love this technology, they're gonna have a great time. If they fear it, they're gonna alienate themselves, and then it's gonna be the human person. But if they love it, it's gonna be me and AI together, right? And I'm even trying to learn myself now to remove the word use AI because I keep saying use AI. No, AI is not something to use. AI is something that we work with, right? Because there is the thing. If you use AI, you're like, hey, go do that job, it does okay. But if you say, hey, we're gonna do this job. Just do that job. Yeah, that can can you ask me 10 questions about it? Yeah, right? Yeah. And it's like, wow, the results are already like 10x, right? So that's that's really how you know what we do. And and we get people uh get excited, and then you know, I show some magic tricks right away. You know, I'll show some kind of notebook LM podcast about the company or about something like that. So they go, yeah. Oh, what is that? Right? You know, yeah, and then it's like, okay, great. They ask you right away, and then okay, this is this. You go go play with it till our next session. And then you've got people on board in the next session. You know, they're like, I'm ready, yes, you know, and team happiness is going up, so performance is going up. Yeah, they don't look at the news and fear that their job is gonna go and so on. They're like, oh, I'm gonna, I'm gonna work with this technology, I'm gonna love this technology because you know what? I never like to do reporting, I never like to fill up spreadsheets. Can this do it? I can do it. I oh wow, I love you, AI. You know, you're helping me do the things that I don't want to do, right? And I can do more of the things that I really want to do, and potentially I can do better the things that I want to do because I have you on my side. So so that mindset shift is what I think I obsessed with the first few weeks, right? And that's great. The second I get that switch, it's done, right? Then we have a great training program.

SPEAKER_00

Yeah. So this is interesting because I'm I'm not the music guy, I'm not the creative person. I'm the I don't know, the soldier, I guess, right? Like get it done. The the grinder, the hustler. But I don't know when I work with a company, I'm like into like very data driven, like, oh, this this happened, these people push these buttons this much faster, whatever the thing might be. Your approach though, they get that result. The company gets that result, but not because of necessarily specific tactical training, but because of behavioral change and positioning about how do I look at AI. Oh, this is fun. This isn't necessarily a work tool that I use. This is a fun thing that I get to work with. I love it. I think that that's a fantastic and because the individuals themselves will self-select the ones who are already good at their job and and love the company and love their peers and that sort of thing, they will take this and they will be even more of an A player. And even the B players will will, because of this approach, I mean, I like what I do. I'm just not like I don't have the tactical or technical skills. Oh, but with this thing, if I work with AI, my job's even better. I think that's fantastic. I love that approach.

SPEAKER_02

If I could add something to that, Chris, is um you know, so I I I get leads sometimes come to me and they're like, Well, we'll pay whatever, uh, you know, even more, uh, but we want the program in a day or delivered in two days. Yep. And I'm like, no, sorry. You know, go somewhere else. Yeah. And they're like, they're like, Well, I'm gonna pay you. And it's the same program. I'm like, yeah, well, it I'm not gonna get the same results when I put it out to 12 weeks because I am changing behavior here. I'm not just teaching them how to use a feature. Right? Yeah, so that takes time. So I am not going to do the program in nine hours intense uh in an office altogether, and then everybody's like, oh my god, another training done, yeah, some features and then done. When I do the trading, when we do at the ARP the training, it's in a way that like a client that just finished three months ago the training, I see one of their team members on LinkedIn, he became an AI expert. He's posting about it, he's testing things and so on. And I'm like, wow, like when I trained him, he had no clue about it. And now he's an expert in his company, he's a champion, he's an AI champion inside, and he's learning more now because I've gave him that curiosity on AI and kind of showed him that you don't have to fear this. You know, you have to love it, you have to experiment, you have to try. And if it if it doesn't work out, that's fine because it might work out in a month. You know, the technology is not there, but you know now where the limits are and the strengths and the weaknesses, you know how to be human in the loop and what to look out for. So when you know that and I remove myself from the company, they're already they're continuing to learn. Yeah. It's yeah, it's it's because it's a permanent change world. Yes, and but they're learning, and then next year if something comes out, you know, you have the right team members now, right? Uh, even if you don't have us, which is a bit weird because you know you do want to be stickier, but no, I want our clients that when we finish the program, that they don't need us. They have their team members, and their team members are incredible because they know the job day in, day out. No consultant that comes from outside that gives you 50-page guides would know the job better than the people that are on the trenches, the warriors, the ones that are doing the soldiers.

SPEAKER_00

Yeah, absolutely. This is uh this has been a big breakthrough for me because and for listeners, this applies to you as well. If you're looking at AI as strictly a, well, how do we measure the ROI and you know, we need to be able to track XYZ great stuff, and yes, you do, the board's gonna ask, or you know, you need to be good to know that okay, this was a good investment because it is supporting our bottom line or whatever, we're producing more widgets. But your approach of changing the behavior is much more sustainable. Uh not just sustainable, it it's a cultural shift that occurs in the business. If I teach you a fact about AI, you can use it, oh, but you have to remember to use it. But if I can change your behavior to where your default is AI first, then you'll figure it out because again, the tools aren't that hard. You already know your job, and if you've got this accelerant or this multiplier, this co-pilot that can work with you, then the right employees will figure out the application of it. So I think that that's a fantastic approach, and that more companies should be asking questions as you're vetting vendors. Maybe you you work with AI operator to to do this with your company, but as you're vetting vendors, don't just look at what are we gonna like what tactical things are we gonna learn, what you know use are we gonna learn, but how are you gonna shift the behaviors? Because without that cultural shift and that behavioral shift, your company will stay static at the tactical things that they learned 90 days ago. But if you shift that behavior, your company will like your teams will adapt and they don't have to necessarily be on this tool chase and this like whole sort of thing. They'll see it and they'll instantly go, Oh, I can use that here.

SPEAKER_01

That's fantastic, Tim.

SPEAKER_00

That's great. So tell me more about for the listeners that are interested in that approach or working with AI operator, um uh do you have bandwidth? Uh how far out are you pushing this? What should they expect as far as um because A, there's no question you've established uh through the YouTube and this conversation today, you get it. Right? And with your business experience that you shared early on, like you're not just a guy who learned the tools, you're looking at it through the lens of somebody who's been a CEO, who's been a marketer, who's been an operations person, who ran a sales floor, like all of those things. So what does working with AI operator look like?

SPEAKER_02

Yeah, I think um you know, working with us, um I can give it from a uh a quick story. Our first ever client, that client that I said that I did the training program when I first started, they're still with us.

unknown

Right?

SPEAKER_02

Wow. They're still they're still with us. They did the training program and they were like, What's next? I was like, Well, what do you need next? What do you need next? Because I was just creating the services thanks to them, you know, and and I'm sure they'll be listening because uh because they're really great friends as well now, the founders. Um, and thanks to them, I kind of keep innovating services, and then we kind of finish, not finished, but we have these three services that work really well thanks to them as well. As we train companies, every team member now knows how to speak AI and how to speak together with humans about AI and about their jobs and very, very tactical as well, right? But also they're super excited, they're happy about this technology, they're happy about the future, you know. Uh, they don't think if somebody says, Oh, you know, AI is gonna kill us, and they're like, Well, no, there's such a more positive aspect that we have to, you know, uh go for, you know, and if we start thinking like that, yes, that can happen. But so they also are amplifying their communities and they're helping uh that positive message. So after the training, what happens is that your teams are all like, oh, I did a custom GPT and it does that. I've shared it across the whole sales floor, you know, everybody's having a great time and so on. And they'll be like, oh, okay, but now this custom GPT, we want to connect it to our automation so that it sends that out automatically. Uh those agreements. It's like we tried a little bit of ZPA, we got stuck because you know one of the APIs is not as solid or whatever, right? And at least you're like, what? You are not a technical person. Listen to what they're saying, right? Yeah. So then they say they say this is what we need, and they can map it out, and then they can go, all right, well, we need an expert. And that was AR operator on top of it again, right? And then with this client, the example, and then we sit with them at leadership, they bring us their problems, and sometimes they even have an idea for a solution. We talk about it. Sometimes they say, Oh, yeah, we can get this done. I'm like, great, do it, you know. And sometimes they're like, okay, well, we can get this done 80%, and then we need that 20%. So then we'll take on that build, right? So we build automations and so on. So what we do is train, uh, advise, and then build, right? Uh, and uh, we have now an AI transformation partner uh package, which is a whole year package for next year, right? Is is to make sure that you get everything. You get, you know, you get the training, you get the leadership advisory, consulting, uh, being there for your teams, office hours, pain points, things like that. And then you also get some build hours, right? So you get some build projects that are delivered for you, and especially on the most painful processes of, you know, um, I love this one. It's you know, recognizing invoices and putting in the system because everybody sends different emails with invoices, and it sounds simple, and there is a lot of tools that does it, but it never does it too exactly the way that you would do it manually. But you know, it's a very quick actually automation that can be done now, you know, that saves a ton of time, and then suddenly uh people in accounting and and finance are happier. So this is these are the examples. So working with ARP is that suddenly you have this partner at the moment that is me and my team, a very small team, but I do the kind of service delivery side of things at the moment. I don't know how long I'll be able to, and I'm yeah, starting to be the bottleneck, as you were asking. If we have bandwidth, we have a tiny bit more bandwidth at the moment, uh, but uh with the deals that I have in the pipeline, I think I'm not gonna have bandwidth. Uh, but um, but we're gonna have to start training the trainer program, we're gonna have to start training some consultants and things like that. Um, but I somehow do want to be very involved because I love what I do and I think that I can bring a lot to the table. So being with us is that you know, it's it's 14 months with this first uh client that we had. It's been 14 months we're still together. I'm invited to all their retreats, their company retreats, even if it's for fun, they invite me because they want me to be with the team, because they see us as their AI department, right? So we act as their AI department, basically. So if you come with us, it's it's behavioral change to advisory and then to building, right? And and and that's a whole year and plus.

SPEAKER_00

Yeah. Dude, I think there's uh you know, another episode that we could do, right? Um, I've really enjoyed the conversation, Tim. And um again, we're gonna put every tool that was mentioned in here, we're gonna put that in the show notes because I I would encourage everything that that Tim's mentioned. I'm like, yep, great choice, great choice. Uh but uh again, a couple of takeaways um from me. That that last one about you're not teaching them, okay, then push this button and then you save it here. You're teaching them how to what we call think in AI. And once that transition happens, like that's much more important for the the the future of your company than oh, they know how to use tools. Huge takeaway. So anybody listening, if you're you know want if you you got on this or you're you're trying to just learn the tools, certainly could definitely do that. But but that's not the hard part. The hard part is getting that cultural shift to to anchor in. And if you approach it the way that Tim's talking about here, I think that like the hard part's gonna get done by the teams, not by the consultant, not by you, because you're creating this, as my my uh buddy at Ingrain says, uh AI fluency rather than just literacy. Right? So fluency is anything. Absolutely.

SPEAKER_02

Yeah, I I just added one more thing because you said that you know it's it's fluency for sure, but also you know, we're we're we're creating a new job, right? You know, uh chief AI officer is a new job, and we're creating AR operator, right? I want I want people to become AR operators, right? You know, they have 10, 15, 20, maybe more agents and tools, but they're the orchestrate, they're the operator, they're in the middle, and they're like, go get that done. They check, they're the tastemaker, you know, and and that's where we're going, right? So so so that's what we're aiming for. We want to make everybody AR operators.

SPEAKER_00

So it's interesting with that concept uh of AI operator. I got one more point. When I would go and get a job, I okay, I was expected to know how to use maybe Excel, and I would know how to expect to be used. Um do you check your email? Do you know how to write an email? Like I had business tools that I used and that were just that everybody used. Sheila in accounting did it, Bill on the factory floor did it. You just kind of referenced this to where like the the business tools that I'll be using are gonna be the custom GPTs or the agents and things like that. Absolutely. But it's not necessarily gonna come from Microsoft. It might be something that the person sitting next to me in my department built.

SPEAKER_02

Yep.

SPEAKER_00

Very interesting shift here. Yeah, we've got we've got more conversations to have, Tim. Anything in closing or any bit of advice, maybe like final nugget. I mean, there's been plenty in this episode.

SPEAKER_02

Yeah, absolutely. I think that's you know, just to repeat maybe or make it clearer, it's you know, don't compete with AI, you'll lose. You know, don't compete with it, you know, collaborate with it, you know, become best friends, become partners, you know, um, and then you'll have a great time in in work. And also outside work in life as well, it helps a ton. You know, see it as a as a blessing. I know that yes, there are uh bad things that can happen out of it, but same with any technology and any anything that happened in the world. Um, but if we look from the positive side, from the fuller side of the glass, um, we have incredible things to do as humans. Uh and we have this incredible um new technology that is our assistant. So um, you know, don't compete, you know, collaborate. It's a great way to look at it.

SPEAKER_00

Hey, thank you so much for being on this. Everybody um we'll be out with the next episode next week. Uh definitely check the show notes. There were a lot of cool tools and things that we talked about on here that uh highly endorse and would suggest you start playing with. And um great advice, Tim. Thank you so much for being on the show, and we'll see everybody next week.

SPEAKER_02

Thank you so much, Chris.

SPEAKER_00

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