Nikolas Hulewsky:  I know that's like a cliche thing to say, but when you're in a Twitter bubble and everybody's talking about ai, it may feel like, oh dude, everybody's using ai, it is so early, people still just have no idea how to use it. Mark asks Satya, Hey, what percentage of your code is written by ai? And they hemmed and hawed and they were like, we can't really totally quantify it, but the number that they got to was like 30%, like 30% of the code right now within Facebook or meta. And Microsoft is being written by ai. There are a couple things that people are doing right now. There's a company called Think, T-H-Y-N-K, I had him on John Long is his name, and they have AI customer service representatives who will answer calls.

‍Nikolas Hulewsky:  so you wanna talk ai.  

‍Austin Gray: You've been doing the series, right? 

‍Nikolas Hulewsky: I just finished. 

‍Austin Gray: I wanna know what you learned. 

‍Nikolas Hulewsky: I'd say is we are early. I know that's like a cliche thing to say, but when you're in a Twitter bubble and everybody's talking about ai, it may feel like, oh dude, everybody's using ai. But it is so early people still just have no idea how to use it and if they are using it. using  it to 10% of its capacity or 5%  of its capacity, they're not even using it for every use case that they could be using it for. I'll give you an example. I'm not even gonna talk about agents like or any of that stuff. I talked to this woman, her name was Abby. She's a writer and she just showed me in Claude how to organize her Claude. What's your LLM of choice?  

‍Austin Gray: I use GPT right now. I have a subscription to Claude, but yeah.

‍Nikolas Hulewsky: Chat GPT has projects, Claude has projects as well. Do you use the projects at all?  

‍Austin Gray: So in our last episode, you went through that? 

‍Nikolas Hulewsky: Yeah. That's  right. We talked about, sorry, I'm talking to too many people. So that was one thing where it was just mind blowing. She didn't show me anything crazy. It wasn't like she's oh, this is the software that I built from scratch. It was literally just how do you think about architecting a system that allows you to leverage ai? More than you've ever leveraged it in the past. And so the way that she was thinking about it by creating reference documents by having different projects for different  aspects of her life, like even her personal life  to me, was fascinating. So that's one thing I've totally implemented and stolen is I've projects for everything now, whether it's work, whether it's personal, whether it's, something that I'm on with my kids. Because each one of those projects keeps context and I think the context I. So to me that's the first thing is like we're early, we're barely using it. And even the things that we're trying to use it for, we haven't even scratched the surface on the easy stuff.  

‍Austin Gray: Did you? Record an episode with her. 

‍Nikolas Hulewsky: Uhhuh. 

‍Austin Gray: You did? Did y'all do screen share? 

‍Nikolas Hulewsky: We did. Yeah. 

‍Austin Gray: Okay.

‍Nikolas Hulewsky: It was great. Yeah. If you wanna check what, I don't even remember what episode that was. I could send you a link. 

‍Austin Gray: Yeah, let's put that in the show notes because. Last time what we did is we went down a deep dive rabbit hole, but if you've already recorded that content, if already lives on the internet,  

‍Nikolas Hulewsky: Yeah. 

‍Austin Gray: I'm gonna  go watch that and then I'm gonna recommend that our listeners go watch that. So this is actually something that listeners if y'all have been listening to any of my AI stuff recently, then like you probably know that I move really fast.  Organization is not my strong suit, but I'm   to the point right now where I'm in GPT and I've got a thousand different thing that I've prompted it on and I just need to organize it. And so this is gonna be really interesting to go and look at it. And if you'll share that link. What was her name? Abby?

 Nikolas Hulewsky: Abby.  Yeah, 

‍Austin Gray: Okay. 

‍Nikolas Hulewsky: Pertz. I just texted you her episode. I. in fact I'll find the YouTube episode as well and send that to you just so you have it,  

‍Austin Gray: Yeah, let's,

‍Nikolas Hulewsky: I'm gonna forget if I don't do this right now. That's just how I, that's just how it's gonna go. I'm gonna forget. 

Austin Gray: She automated 60 minute task down to zero minutes. Is that her?

Nikolas Hulewsky: That  was Olivia.  

‍Austin Gray: Olivia?

‍Nikolas Hulewsky: Yeah. Here, I'll send you her.  

‍Austin Gray: Okay.

‍Nikolas Hulewsky: She had a  million dollar community. She had a million dollar business. She shut that down and built out her new business that she's running, just framed around ai, which was fascinating.  

‍Austin Gray: She hit 60 KMRR in four weeks using ai. Who is that?

‍Austin Gray:  I recently got back from launching a land clearing business down in Austin, and this last winter I launched a snow shoveling business alongside bear cloth. In both businesses, I've implemented jobber as a way for us to efficiently manage quoting job schedules and invoicing, and even collecting online payment. Why? Because it's worked so well for us in Bearclaw and it's saved us a ton of time and headache. So if you are looking for a software that can help you manage the backend of your business, look no further than Jobber, you can visit go.getjobber.com/ownrops O-W-N-R-O-P-S. 

‍Nikolas Hulewsky: She, Amanda Orson . so she has a software that is, is effectively trying to eliminate realtors the buy side and the sell side of real estate transactions. And so it's a marketplace where you can go and you can list and people can buy and it cuts out the middleman. And she gives you a bunch of resources and templates that, make it easier for you to not have to use an agent. 'cause most people are using an agent for the contract or for the title company for recommendations on who's gonna do the inspection. Like all the  stuff that you just wouldn't normally do.

They make it easy for you to have a private  party off market transaction without having to use a real estate agent. But she was able to build that using AI within her team and at the time, this was two months ago, she's at, 60 grand MRR, but it was a very quick sprint and she was able to launch it. And it wasn't that AI built it, it was that AI is now giving it's 10 Xing her team's ability to actually get stuff out quickly. This was something that was interesting actually. I heard Satya Nadella, do you know who he is? 

‍Austin Gray:  I don't. Oh, okay. 

‍Nikolas Hulewsky: And Mark Zuckerberg we're having a conversation at one of these conferences Mark asked Satya, he's Hey, what percentage of your code is written by AI? And they hemmed and hawed and they're like we can't really totally quantify it but the number that they got to was like 30%, like 30% of code right now within Facebook or Meta. And Microsoft is being written by AI. And it's not that it's just on its own writing  code. It's doing the first pass or it's doing an audit  or it's helping to QA something for one of these engineers, but 30% of code and that's right now, which is just nuts. And then you look at their earnings. Yeah, had blowout quarters, Microsoft Meta because they're now leveraging ai. They've grown top line revenue. They've shrunk employee costs because they're using AI to help their engineers 10 x it. It's pretty cool.  

‍Austin Gray: Where are the biggest opportunities right now that you've seen from interviewing these people about AI? 

‍Nikolas Hulewsky: Lemme take a step back. If you're a small business owner, what I would say the first step that you do, I think we've talked about this, is just go pay for a premium plan. I don't care what it is. I don't care if it's perplexity, Chat GPT, Claude, Gemini, whatever it is, go pay for a plan. The reason you pay for, it's so that you have more ability to ask it questions. If it's free, you kind hit a cap, start playing around with it. And then  after that, then you'll start seeing opportunities  to implement it within your business. But I would say from what I'm seeing. The number one best use case is sales. And here are like a couple examples after our phone calls. People who are calling for your services after hours. Nobody has the income to be able to have a 24 hour team that's just answering calls. So many times those people call and they'll leave a message or they'll call and nobody answers 'cause there's no message machine.

And then they call the next  person the competitor, and then the competitor gets that business. So  there are a couple things that people are doing right now. There's a company called THYNK, T-H-Y-N-K, I had him on John Long is his name. and they have Ai customer service representatives who will answer calls. Now, they'll do it during the day and after hours, but I like the after hours component to it. so they're capturing business. They're capturing leads after hours, which I think is. Incredible. And beyond that, they're also able to capture those leads and enter them into the CRM.  So it's not quite an agent where it's  autonomous, but you are telling it, Hey, once you've captured these fields of information, populate it in the CRM and then when you come the next day to work, you've got two or three people who've called in. It's oh, you've got an evaluation with John Smith and Mary Jones at 11 and 12 o'clock, and you didn't do anything fast. So like capturing leads essentially after hours, I think is a really cool use case. Have you seen anybody doing that right now? 

‍Austin Gray: I've seen a couple people who are building products on it. We just started using Open phone and it looks like their AI assistant or answering assistant works pretty well. I've experimented with that a couple times. I've been hesitant to implement any sort of AI phone answering. But to your point, I'm open to doing the after hours because why not? They're not getting touched anyway. 

‍Nikolas Hulewsky: You would've lost it anyways.  

‍Austin Gray: And the second thing that I want to ask you here. So I'm running a lot of Facebook ads for several businesses right now, and we're getting a ton of leads, but some of those come the middle of the night early, 3:00 AM in the morning sometimes. So is there a way that you've seen for an AI call assistant to call those leads?  

‍Nikolas Hulewsky: Yes.  Yeah.  Yeah, there is. So John Long, I can't remember which episode number, but that's his whole company is Thynk ai. And I actually have a phone conversation with his agent live on that episode. Is pretty fun. And look, you still know it's an AI agent. is the latency. And this is the main issue. They can actually have quicker conversations with you. 'cause, so if you talk to an AI  agent right now, it's like, how's it going, Brian?   It's good. How are you doing? I'm great, man. They're like, there's like this lag. reason that there's a lag is because AI still hasn't perfected. Listening and understanding when to jump in. And so they, if they just hear a pause or like a longer breath, they think they're supposed to jump in. So these companies will actually say you need to wait, not 0.5 seconds, but  2.5 seconds before you jump in. And so that's why there feels  like there's a lag. We have the technology for there to be no lag, technically, but they don't understand like the context of when to jump in and when not to jump in.

And so it just cause them to talk over each other. From that episode, honestly, what I found was, I think if you have an AI agent says, I'm an AI agent, how can I help you? Like just let the person know upfront. There's usually not a big problem with that. I'm sure on the tail ends, you'll have people who are just butt heads  and they'll hang up. At least then the person that you're talking to is oh, okay, I'm in the know. I'm just gonna proceed with this conversation. So the short answer to your question is yes, you can have them call in the middle of the night. You obviously have to set up automations probably through Zapier or some automation software like that. But you can have them actually call outbound and have conversations with potential leads.  

‍Austin Gray: Cool. That's great. And yeah, I like your thought process there on just being straight up with the customer. Hey, this is an AI agent, but I can answer most of your questions just to let you know. Like I'm gonna document these and then somebody from our team is gonna be giving you a call first thing in the morning, or however you wanna frame  it? 

‍Nikolas Hulewsky: Yeah. The other thing on the sales side I would say is it's not an AI call agent, but it's an AI chat bot. So anybody who's going onto your website and wants more information, you can pretty easily train up a chat bot. I. To be able to interact with people and it pops up and they start  having a conversation, et cetera, and they get to a point and then it takes the lead  and shoves it in the CRM. but I do think that there is a space to be utilizing AI, either call or chat agents to follow up on leads or take in inbound leads that you otherwise wouldn't have gotten to that, that are time sensitive.  

‍Austin Gray: That's awesome. What else are you seeing as opportunities?

‍Nikolas Hulewsky: So the other thing in sales I would say is what's the CRM that you use in your business? 

‍Austin Gray: Go high level. 

‍Nikolas Hulewsky: Go high level. 

‍Austin Gray: Yep. 

‍Nikolas Hulewsky: So GoHighLevel would be a perfectly good CRM to use, but basically qualifying, scrubbing lists that you have. So you'll have to export it and either put it in a CSV or in a Google sheet and then have Gemini take a look at it. you can actually have it now. And I'm trying to think of the software, but there are softwares. I think Clay. Clay is a CRM, but it will go and look at those prospects and you can tell it to, I want you to pull, its LinkedIn Pro, their LinkedIn profile. I want you to pull their business information. I want you  to, i'm trying to think, oh, qualify  this list of people based on these attributes. So just cleaning the data in order to get it to a place where your sales team can take it and run with it, and just identifying, hey, here are the top potential leads, and the bottom leads think is a really cool. Time savings of ai so like you've seen deep research on chat GPT, that's effectively what you're doing is like a deep research esque function on the leads that you've generated. upstream of that, there's this software called Browse ai. Have you ever messed with browse ai? 

‍Austin Gray: No. 

‍Nikolas Hulewsky: Okay, so browse ai, back in the day when you wanted to go and scrape data from websites, so let's say I wanted to get the phone number of every pickleball owner in the United States. I would have to essentially write a script. To say, to Google Business profile and pull this specific information.  And if they weren't on Google Business profile, you're out of luck. That's  actually what a system like, not go high level, but outs, scrapper does right outs, scrapper just goes and pulls all the Google profile, Google business profile listings and that they've got them in a centralized place. But what software like Browse AI does is it allows you to actually go to every individual website and then using context, 'cause it's AI.  You tell it, go find the About Me page and find  their hours of operation, phone number, address, services they offer. And so then it will go to the website and actually look for all of those things and populate it into a spreadsheet.

So you're no longer dependent on whatever outs scrapper has pulled together from Google Business Profile, you can actually go to the websites  of these companies and pull that information  because you're now using context. You're not hard coding. Where to, and telling the software where to go to actually pull it. So I think that's a really cool use case for businesses that are trying to find more and better leads to call on that is not in the same pond that everybody else is fishing in, which is Google business profile. 

‍Austin Gray:  Browse ai.  Huh?

‍Nikolas Hulewsky: Yeah. 

‍Austin Gray:  Yeah, that's super interesting.   

‍Nikolas Hulewsky: That's a cool one.  

‍Austin Gray: What is the pricing on that? . And all this stuff is like straightforward and inexpensive in the grand scheme of things for what you're actually getting.

‍Nikolas Hulewsky: No, it totally is. And if you're willing to spend a little bit of time on it, you'll, can figure it out and build some pretty cool stuff in a short amount of time. 

‍Austin Gray: Where are some other opportunities outside of sales? 

‍Nikolas Hulewsky: Okay. So outside of sales, This is tangential to sales. However, it overlaps to all operations. And again, I'm like looking at things that don't require agents. I'm sure that you listen to Greg Eisenberg and he'd be like, oh, if you just plug in these three things, you can have an  autonomous robot that goes and was those cars, I'm not  there yet, but i'm like the caveman who's just trying to figure out how the wheel moves and he's designing, Ford F1 fifties. Anyways so there is a lot of information that we communicate every single day that's  not recorded, but there are ways that you could be recording  it. For example, I have a limitless pendant that records all my conversations. I'm not wearing it right now because. We're on this and I could get the transcript if I wanted it. So there's no point for me to record it. And throughout the day you have many calls with your team. Maybe you have a call with the sales team, maybe you have a call with the ops team, maybe you have  a call with finance, maybe whoever. So  I like to think about what are opportunities for me to capture the information that is on these calls in a non-invasive or at least easy way. And so the first way that I would say is lemme back up. Why, sorry. Why would I wanna capture  all this information? because I can then take that  information into those transcripts and put it into my LLMs and say, please summarize this conversation. Please tell me who I need to follow up with, et cetera. and then if you get, want to get really crazy with it, you can just start creating Zaps that you don't have to do anything with  the LLMs. You just set up a Zap and it does it on its own, and it sends  out meeting minutes after the meeting is completed. I don't know about your listeners, but I was awesome in meetings. It's fantastic, dude. We solved all the world's problems in every meeting we had. You know what the problem was? Hey, what did we say we were gonna do? I can't  What? Who no. That's not what we said, Austin. What we  said was that I was gonna go and you were gonna stay.

No, I remember that very clearly. You said that you were gonna go and I, and said, recording. It just takes away the mental stress of having to write down every single note, but also the ability to go back to it and double check many different things. And I'll give you some examples  of it after this, what I would do is take a look  at any meetings that you have with multiple people where Zoom is involved. And I would look at getting an AI note taker, either Otter, AI, fathom fireflies. I'm sure there's one or two that I'm missing. But those are really simple. They integrate with your calendar.  And get them on every single one of your meetings and they're gonna  record and take meeting notes for you. And then you can go and take the transcripts, which is fantastic. If you then want to take it to the next level, I would get one of those pendants. And it doesn't have to be limitless ai, it can be plot's, another  pendant that's out there. It's cheaper. but just  your conversations, be upfront with people and tell them like, yeah, hey, I'm recording this, but I can't count how many times I've had one-on-one conversations. And I, I relying on my recall at this point is just not good 'cause I have so many different conversations. So here's a real world example  of that. I have an intern right now, and I'm in the process  of launching an accelerator that's focused on healthcare. So we're gonna be leveraging ai, it's gonna be an accelerator, and it's within a healthcare organization that I'm working with.

I have an intern who's helping me create that. And our first couple days, all we did was talk about. What  does this internship look like? What do I need from him? What are the deliverables? What are we  trying to do? do we get there? What are all the things that we test of conversation? Typically, I don't have those recorded. It's not like I have some chat bot, but I had my limitless pendant, and from that conversation, those conversations, a 12 week internship  program. Deliverables broken  down to the day where it's like, all right, today you're doing this. This is who you're talking to. And it took me a little while after those conversations to iterate that way. But I, he now has a roadmap and it's not like he's calling me every day like, Hey, what should I work on today? It's,  no, we talked about it. You know what the end deliverables are.  Just go and do. So that has been, that was, that's an example of that. But think about every time you onboard a new employee. You have a sales meeting, you're talking strategy once a month or once a quarter with your executive team. You don't have a conversation with your bank about financing.  You are talking, you're talking to your accountant about taxes.  How many times like the next, every year I do taxes.

I'm like, what did we decide last year? Why did we decide that? And they feel like reeducate me. But if I have those conversations recorded, I can just go back to the transcripts and ask AI those questions instead of spending three $50 an hour for my   or my CPA to tell me the answers to those questions. That,  that's valuable in sales, it's valuable in operations, it's valuable in onboarding and orientation, people, management, the whole gamut. I think figuring out a way to efficiently capture your conversations and then be able to extract value out of them is totally underrated.

‍Austin Gray:  Stryker Digital specializes in SEO services specifically for local service businesses. Bodie and Andy, the two co-founders, have helped me get Bearclaw Land Services to the number one search result on Google inside my state for my specific search term. If you wanna learn more, visit stryker digital.com. That's S-T-R-Y-K-E-R digital.com. 

‍Austin Gray:  This is incredible. This, I have so many ideas even and I know you're looking at it more from, like you said, you're doing a healthcare accelerator, but like my head is going to, man, if I'm an excavation business owner with a crew of three can you think about how many times listeners, right now you've had a conversation with other people   and they're still calling you back, asking for questions?  My head is going to like, what if you recorded your morning? Operating meetings and you had some sort of automation set up to where, 'cause I'm sure you're set in with Zaps from, I haven't even looked into Limitless yet, but the way I'm envisioning is you can record a conversation that you have. You probably have some sort of Zap automation set up to where it sends that recording two chat GPT.

‍Nikolas Hulewsky: It will. I haven't figured it out yet. It's like, it's like an extra, it's harder. They don't have a bunch of API integrations. They 

‍Austin Gray: Oh,  really? 

‍Nikolas Hulewsky: Okay.  now I'm copying and pasting it,  then  from there everything's automated. 

‍Austin Gray: So let's talk about the future, like once they will, I'm envisioning this as if you eventually you could be like, okay, we are having a morning operational plan meeting right now, and. John, Trey and Adam are present. And then you have some sort of automation set up to where it's recording what you're saying as the foreman of that crew. It's taking the transcript, plugging that into chat,  GPT, with a pre prompted framework to  summarize and create checklists and step by step. Outlines for people, and then you can voice prompt it to say, please send this to Adam, Trey, and John, and some sort of automation could set up. And now we're getting into a, I think this is what you would call an agent. But I'm trying to paint the picture for where the future of this could be and how it can be applicable to really some of these just, 

‍Nikolas Hulewsky: Can I do you one better? Are you ready for it? I've been thinking about this as well. I've had several, many conversations about this. Think about you have a sales team, how, maybe you have 2, 3, 4, 5 sales reps out there. I. How do you know whether or not they're doing a good job? At the end of the day, there's one of two ways. Either you just look at their sales numbers or you go on a ride along. Yep.  Neither one of those tell you the whole story, on a ride along. You're just getting the best version of them at that moment. What if they had this on every day? And you could go and have AI analyze the transcripts and Hey, tell me how they're doing.How are they doing about closing? Are they following up with the people that they're supposed to follow up  with? When they have conversations, are they speaking more or less  than the person? Are they asking calibrated questions, just, a whole host of things. And then you don't have to go and spend five hours right along with every single one of them to identify the pain points.

Like you've already gotten like 80% of the way there from those transcripts in and of themselves. it allows you to manage those salespeople. Way better   maybe you otherwise would have in the past, or like you said,  guys are out in the field. It could be, it could even be a liability thing where anytime they go to a client's house, they've got it on and it's recording the conversation. Now you have to be careful about two party consent states. If you live in one of those states. I don't, I live in a one party consent state. If it's capturing those conversations. then it's like there's a dispute   oh, let's just go back to the transcript. And even if they're like I never said  that. It actually records the audio as well, so you can listen to the conversation. It all of a sudden kind of eliminates the need to rely on memory. And you could just let's just look at the tape. Let's like refer back to what we actually talked about. But yeah, morning meetings, sales I think is a really big one. yeah. 

‍Austin Gray: I'm with you on the sales 'cause like right now in one of my businesses, we are, we're getting the leads, we're trying to dissect at which point of the sales process is broken. And the only way that me is a remote GM right now of this business, I'm relying on the in-person sales person to tell me what the customer is telling them in their in-person site visits or calls with the customer. So to your point, this could be a great way to break down where the process is breaking. 

‍Nikolas Hulewsky: The other cool things that have been is like I, I've gone to several conferences now with it, and at the end of the day, or even in the middle of the day, I'm like, who did I meet this morning? Oh, here are the 10 people you spoke to. Here's what their businesses were. Here's what you guys talked about. Did I say I needed to follow up with anybody? Oh, yeah. Here are the follow up items you said you were going to do. I guess it's. It's pretty power powerful from that perspective because otherwise when you're going to these conferences or you're going to places where many people are  congregating, you wanna remember the connections that you're making. How else  do you do that? It's it's unless you're just taking notes the whole time, there's no way to really maximize those efforts. But with these now recording the conversations, you can go back, refer to it go to follow up, when you're like, oh yeah, Austin said that. about excavating. What did he say? I think I might have something for him. And they go read the transcript, or you listen to it and you're like, oh, easy. That's what he said. Here's his pain point. I can send him a follow up message. That's very personalized. 

‍Austin Gray: Just the amount of, especially you as a creative entrepreneur, the amount of ideas you have at on any given day.  This is going to unlock so many ways to document those. What did we talk about? Scenarios and this is going to open up. The world into having a personal assistant. Eventually, once this thing has an open API.

‍Nikolas Hulewsky: And it might have an open a API just have it's more complicated than the typical software that's been out there for a long time. I. So I haven't quite figured it. It might not have a zap, right? So it's I think it has API capability, but it doesn't have a zap. And so you gotta whatever, do a workaround. But yeah, I've started, when I'm just walking around or doing yard work, how many times do you have an idea that comes to your head and you're like, oh, I gotta document this. And you pull out your phone and maybe you text,  just start talking now Hey, so I think  I know how to document this SOP on procurement wanna focus specific. You just start talking, right? And it's recording it, and then you can go back to it and it's the SOP's just there the follow up items I need today, or the things I need to get done this weekend or whatever it is. Like you said, opening it up for a personal assistant, but pretty game changing once you start messing around with it and just realizing there's a lot of potential applications for recording the communications that you've had throughout the day.  

‍Austin Gray: Yeah, this is gonna open up a lot of opportunities. Let's see, how much is it? 

‍Nikolas Hulewsky: Order pen and  AI pendant is like $500, 

‍Austin Gray: I think 399 per year. Wow. 

‍Nikolas Hulewsky:It's not cheap.  

‍Austin Gray: $399 per year though to have it do what it's doing, like I'm thinking that's a great deal if it's going to take everything that I have bouncing around in my head and help me standardize some of it and create some checklists and actually get it over the people who,  

‍Nikolas Hulewsky: Yeah you can automise it for sure.  If you can yeah. 

‍Austin Gray: Yeah. That's cool. Yeah, thanks for sharing that. There's so many opportunities and ideas that I have right now for how this could help, but this is essentially just like it's making it an actual thing right now and bridging the gap between we're literally gonna have an AI assistant shortly.  

‍Nikolas Hulewsky: shortly. Even if you didn't want to go and wait for an AI assistant, you could have all this stuff and then have a VA do the majority of the things that are manual tasks at this point.  

‍Austin Gray: So right now it, it records transcribes and then keeps that in a bank. And then basically you just have to go copy that transcript and then if you wanna summarize it, you're plugging it into GPT or Claude or whatever, and saying, please summarize this. Create a step-by-step checklist. 

‍Nikolas Hulewsky: Yeah. I can query it and I can have it tell me like, Hey, summarize this conversation. It'll spit stuff out. But I like to have it in my Chat GPT 'cause I feel like that's just adding even more context to me and my conversations. But yeah, it's. But it's easy. It's not super complicated or difficult, it's just, it is a copy and paste formatting thing, and if you don't wanna do that, you could have a, you could pay a VA to do it.  

‍Austin Gray: So this kind of goes into. A concept I've been thinking about quite a bit, especially with the podcast, 'cause I'm interested to, to hear your thoughts on this. The way I've been thinking about this podcast is I get to go interview smart people like yourself and then we're recording this and if you set  it up properly, everything that you're sharing  right now can be recorded and queried in a knowledge base. So right now I'm creating the OWNR OPS podcast specifically for local service based business owners. What I have envisioned in my mind is to create this knowledge base that can eventually be searchable. If somebody were to come to owner  ops.com, I wanna be able to have a bank where it's like you  can just go in search with ai. Hey, what do some of the owner ops podcast guests recommend about building a sales team or about Facebook ads, and then if we get all of this into a knowledge base, we can query it. And then ideally the AI can give   really great answers to people as long  as we continue to bring on great guests what you're saying is essentially you're creating your own personal knowledge base. If you can get your thoughts out of your mouth and into the recorded ai, like where do you see opportunities in the future   for that?

‍Nikolas Hulewsky: There's two parts to it. There's you, the person who's creating the content, whether you're a content creator or whether you're just somebody who's like. Trying to create their own internal knowledge base. It's content, right? That, that it's drawing on or context we could say. So there's you, there's the ability to create it,  and then there's the ability of these LMS to process it.   That is a bottleneck right now. So I don't know how many episodes you've done of the OWNR OPS podcast is trying its best to balance two things, speed and accuracy. Nobody wants to be sitting for 30 minutes for it to find the perfect answer.   But also nobody wants. be a  split second and hallucinate and be totally wrong when it's trying to find those things. And so there are limits to how much context it can hold think of a, in its head at any given moment. Google can hold a million tokens  of context a time. AI chat,  tts at 120,000 tokens, give or take, 120,000 tokens is like 300 pages worth of documents. So that kind of gives you the scope of what this context is. But if  you're able to take those episodes And I want you to get rid of  all the ums, the ahs, the hums and filler words, all of a sudden that's a lot more, a lot less information that you're uploading context. Beyond that, though, you do need to format scrub and put the data  somewhere so that it's easily queryable.  It's not just searching everything that you've ever done. So for some of those episodes, for example, you're gonna have to go through, and you can use AI to do this, but you're gonna have to go through and assign tags to it. You're gonna have to go through and assign industry  profiles, business sizes, et cetera, so that  it can tag that episode and then once it's found the tag, it can then go ask that question essentially that you're the specific question that you're looking to have answered. But that is one of the problems with Cool, we're creating way  more data, which is awesome. It should just be able to,   process it and spit something out. But it's actually limited in its ability of how much it's able to process. So thinking through how to architect it in a way that allows it to still access that data totally taking up the context window is it's complicated. 

‍Austin Gray: And do you think that will be solved regardless within a reasonable timeframe? Call it one to three years. 

‍Nikolas Hulewsky: I think it, yeah, I think the ability of these LLMs to process more information is going to be solved. But I still think it's going to require you or I have a good system for it. I don't think it's just going to be able to take everything that we've ever had and decide what's important and what's not important. It's like training an employee, right? Yes, we have conversations, but we also have SOPs, and we also have emails that are very clear on what we expect.  Sometimes there is conflicting data, and so how does it  prioritize? Is the SOP, correct. Is the most recent email correct? Is what you just said to me yesterday correct? 'cause you could have made a mistake yesterday. like those problems are not necessarily going to go away by ai. AI's gonna make inferences, it's still going to be an issue. So thinking about how you store this data, thinking about how you clean it, thinking about how you extract information from it is still an important component of being able to extract as much information as possible.  

‍Austin Gray: Do you think that AI system architects are going to be the new software engineer of the next decade? 

‍Nikolas Hulewsky:Oh, for sure. Yeah.Don't know about  for sure. But yes, it's gonna be a thing. We already have prompt engineers. That's a thing. They're just literally writing the best prompts. They're not necessarily writing code, they're just, we write the right prompts to get the right output? And there are companies doing hundreds of millions of dollars a year that are just a wrapper. Around  chat GPT, because they figured out the way to write the right prompt.   It's not like there's any proprietary software around it. So yeah, I think there's gonna be a whole host of things that pop up that people aren't even thinking of right now. data, I don't even know the right word. Data, architecture data storage solutions I think are going to become more and more popular.  

‍Austin Gray: What are some other interesting ways that you've seen people making money with AI right now?

‍Nikolas Hulewsky:  Oh man. I'd say the most common way that I'm seeing people make money with AI right now is going learning AI and then teaching other people how to use ai. I know that sounds like Grifty I don't think it's a grift, but I. There's a lot of people who just don't even know where to start. They're like I don't even know what to do. And so if there are people like you who are like, I've done a home services business. I know what it takes to run one of these, and if you wanna learn about ai, I can do a bootcamp real value. I know some people might look at that and  be like, oh, nice money grab from Austin.   Those, I used to look at it, okay, I'm projecting here. I used to look at it like that, right? I used to look at it as oh, here, buy my course. I'm gonna monetize my audience. I'm now at the point where I'm like, people just don't know and they don't have time. I have more time than you. 'cause you actually have a business. They don't have time to sit around and dick around on YouTube and figure this stuff out.

So it's just cool. I trust you, Austin, just tell me what I need to know. and so many businesses are popping up around that. But they're niche businesses. They're businesses where, oh, Nick  does home health and hospice and I'm a home health and hospice operator. I'm gonna go talk to Nick about ai.  I'm not gonna talk to Austin. He owns an excavating company. Why am I gonna talk to Austin about a healthcare AI implementation within my business? That to me has been the most easily repeatable and valuable business right now, is just getting people, teaching people how to use and think about ai. Beyond that, wrappers like this vibe coding stuff, lovable hugging face. Hugging face I guess isn't one of those, but, rep lit cursor where you're just building apps by yourself and putting  a wrapper around Chat GPT. are super fascinating.  They have their own set of inherent problems, but I think those are really interesting ways to make money. If you have a cool idea and you're willing to code for 36 hours straight there's a million things out there, man.

It's, I feel like it's more difficult to pick one thing to learn about than it is. To just get started because like after you get started, then you're like, shoot, which one of these is the best? I don't, what should I be spending time on? You know what I mean? You know that you spend a bunch of time on this stuff.  

‍Austin Gray: Totally. Totally. Yeah. I'm, there was a point in time where somebody was asking me like, what, what do you think the most important thing you're doing with your day is? I'm like, honestly, right now, the more time I can spend in GPT. If I can carve out an hour  straight with  it each day, I feel like I learned something new. I optimize something within the business. And I really do think it's a great time. And once you just get in there and start understanding how to prompt it correctly to get what you need out of it, it can help you move a lot faster. But you did bring up something that I think is pretty interesting and I don't know why, why is there such a negative pushback with the course thing? 

‍Nikolas Hulewsky: I think it's because I think people are jealous. I think that's one reason. think that, unfortunately over the last five, 10 years, many people who have no experience with anything, all of a sudden sell courses, teaching people about the experience that they don't have. There's a grift going on. It feels scammy.   And then I think that it courses are  not higher education, so there's just a level of skepticism with, does Austin really know? Does he even have a certification? I bet he doesn't even know about the right architecture. he doesn't even understand the Geneva protocol that came out last mar there's just, it's just easy to be a naysayer. I think those are the biggest reasons. I don't know. What do you think?

‍ Austin Gray: I don't know. I think I do see a lot of this though. I. But I do also see people who have built successful businesses, offering some education around it and charging money for it. And plenty of people I've brought on the podcast for example, we'll be in, let's say it, soft washing or tie and stump grinding, right? Like you can't knock a guy for being an entrepreneur and figuring out another revenue stream, especially if it's helping somebody.  

‍Nikolas Hulewsky: And  and especially when they're being asked for it and people are like, I'll pay you. Just help me get this started. What is he supposed to do? 

‍Austin Gray: And that's the thing, it's once you start talking about a business that you've built, plenty of people are  DMing and you just, you definitely don't have enough time to jump on. One-on-one calls. So I don't know. You brought it up and it's been something I've been thinking about recently and  I'm like is funny man, I, if you've built a business like and you truly have become good at it, why not create another revenue stream and sell some information and use it to go pay off some of that heavy equipment that you've built a good business on?

‍Nikolas Hulewsky: Yeah. Yeah. 

‍Austin Gray: why  not? Same with ai. So is this where you're going with your podcast? You gonna lean harder into the AI stuff? 

‍Nikolas Hulewsky: I'm gonna lean harder than I did before ai, but I don't think I'm gonna totally shift things. So before ai, it was like, how to help you buy, and scale your business to, to make your first million dollars. I was like, my idea. Now it's start by scale  your first business using ai, leveraging ai.  So I think AI will be an important component of it. And like I said, I'm launching this accelerator, so in my mind it just will make it easier to be able to take what I'm doing outside of podcasting and have it in the podcast. But I also don't want to go like full just gray Eisenberg or it's just ai, ai,  ai. 'cause ai, like AI is good and it's important, but  it's a, in my mind it's a tool in the tool belt. If you're trying to build a house. Having this, a saw doesn't build you the house, you gotta have everything. The saw is incredibly important 'cause you can't build a house without one, it's not the whole house.

There's a whole host of things  that you have to do in order to build that house. I won't even get into the rest of the analogy '  cause I know nothing more than that. I just, it would be intellectually. Non satisfactory to me to just talk about AI all the time. I wanna talk about cool ai, but how do I put it in my business? How do I make money from it? How do I scale? How do I grow? do I make a million dollars and and achieve financial freedom? That's really where I wanna get headed.

‍Austin Gray:  I love that. That's, it's such an important piece. So your analogy is basically you are still bringing the business acumen and the knowledge of building and scaling businesses to this and your perspective is very similar to mine. Okay. AI is one tool in the tool belt, but if you know how to architect it and put it into place to save time and money. Then that's where I think the true value is here.  

‍Nikolas Hulewsky: Yeah, a hundred percent. 

‍Austin Gray: So tell us more about the accelerator. Is that healthcare specific? 

‍Nikolas Hulewsky: It's a, still a little bit under wraps, but yes, it is healthcare specific. And the idea would be with. lot of the connections that I've had in the industry and then also made over the last couple of years, we would have companies come into the accelerator who are looking for an opportunity to test their product, actual feedback from customers. We'd have a pitch day at the end of the program  where we'd bring healthcare specific  investors to take a look at these products and obviously invest or not invest, but I have some really good relationships with people in healthcare and. Instead of doing much cooler things than I've ever done, and they have really big platforms that they're like, yeah, we'll let you test stuff out in these environments. And so for me it's I, cool, I can play middleman, I can help identify some cool up and coming companies,  give them an opportunity to get an  accelerated push. And then, who knows what happens. There's just so much opportunity particular, even if they're just AI rappers to, to make healthcare more efficient healthcare freaking sucks right now.

From an efficiency standpoint, I'm not saying the people or the care that they're providing sucks an efficiency standpoint, it sucks and there's so many things that we could do to make it better,  to improve patient experiences, to improve employee experiences,  to drive more revenue, to create, be, more bottom line for operators in the industry. And it doesn't have to be through the government coming in and applying more regulations. We can solve it through technology and just think it would be fun to play a small role. In what's coming, so that, that's the the quick and dirty of the healthcare accelerator. 

‍Austin Gray: That's awesome. That's awesome. Anything else you wanna share on that? 

‍Nikolas Hulewsky: No, man, I have  more to say, I'll have more to say at some point when it, when we finally launch it, but  

‍Austin Gray: Okay. And where can our listeners find your podcast and your content online? 

‍Nikolas Hulewsky: Nikonomics, N-I-K-O-N-O. MICS, Nick Economics, that's on YouTube, Spotify, apple, or you can find me. Twitter's my favorite place co-founders, Nick, and come say what's up.  

‍Austin Gray: Thanks again for making time to be on the owner ops podcast, Nick. I appreciate it. 

‍Nikolas Hulewsky: Thanks for having me, man. It's always good to see you. 

‍Austin Gray: Yeah, it's always good to chat and we will definitely have more in the pipeline. Listeners, if you are listening to this text in your questions for what you have for Nick, because we're gonna do another episode, we'll likely do regular episodes since  he has his own podcast as well. But I want to know  specifically what questions about AI do you have. So shoot us a text. 9 7 0 9 8 5 OWNR. We've got a specific text line through open phone that you can text in your business questions. So send those in and we'll make sure to ask  those in the next episode with Nick listeners. Thanks again for listening  to another episode of the OWNR OPS podcast, where we publish episodes every Friday about building and growing local service-based businesses. We also send a newsletter on Saturday where we summarize. The main learning lessons and points that were discussed in the episodes. So if you haven't signed up for that yet,  go to ownrops.com/newsletter. And then finally,  we recently launched our school group specifically for local service business owners so you can join for free school.com skool.com/ownrops OW N-R-O-P-S. Until next week. Don't forget, work hard, do your best, never settle for less.

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