In short
Episode topic: How small businesses can use AI to capture after-hours leads (AI call agents), qualify/scrub inbound leads, and turn recorded conversations/meetings into searchable knowledge (meeting notes, transcripts, checklists). It also covers why adoption is still early and how to architect AI knowledge bases without overwhelming LLM context windows.
Guests
Austin Gray (host/interviewee) discusses lessons from talking to ~35 people about AI. He references other people/companies but no additional co-guest appears in the transcript.
Guest backgrounds and examples cited
- Abby (writer) uses Claude projects to organize life/work context; built a million-dollar community/business before shifting to an AI-framed business.
- Amanda Orson: real estate marketplace software to eliminate buyer/seller agents; reached ~$60K MRR in 4 weeks using AI to 10x team output.
- John Long (Think/T-H-Y-N-K): AI customer service reps that answer calls and populate CRM fields; after-hours lead capture.
- Mentioned platforms/tools: GoHighLevel, Clay, Browse AI, Otter/Fathom/Fireflies, Limitless pendant, Zapier.
Key claims
- AI is only used at ~5–10% capacity; adoption is early.
- “30% of code” at Meta/Facebook and Microsoft is AI-assisted; earnings improved via reduced employee costs.
- Best near-term AI use case for SMBs: sales—especially after-hours call answering and lead capture into CRM.
- AI phone agents face latency/turn-taking issues; outbound calling is possible with automations, and being upfront (“I’m an AI agent”) reduces friction.
- Recording meetings/calls enables summaries, follow-ups, and SOP/checklist generation; LLM context limits require tagging/formatting and data architecture.
Notable examples
- After-hours AI answering + CRM field capture (Think/John Long).
- AI qualifying/scrubbing leads using CRM + Gemini/Clay-style enrichment (LinkedIn/business data).
- Website scraping with AI context (Browse AI) beyond Google Business Profile.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Impact of AI on Major Tech Companies
0:00 to 0:35
Learn how AI is currently influencing productivity and costs in major tech firms.
“30 % of the code right now within Facebook or Meta and Microsoft is being written by AI.”
Understanding the Current AI Landscape
0:35 to 1:01
Explore the misconceptions about AI usage and capacity among businesses.
“I haven't had time to freaking digest all that.”
Case Study: Organizing with AI
1:01 to 1:49
Hear about practical applications of AI in personal organization from Abby's approach.
“People still just have no idea how to use it.”
AI in Real Estate: Amanda Orson's Success
1:49 to 3:35
Discover how AI helped build a real estate platform that streamlines transactions.
“It wasn't like she's like, oh, this is the software that I built from scratch.”
Opportunities in After-Hours Lead Generation
3:35 to 5:51
Learn about leveraging AI for capturing leads outside of regular business hours.
“How she hit 60 K MRR in four weeks using AI.”
Implementing AI Call Agents
5:51 to 8:01
Understand how AI call agents can enhance customer interactions and follow-ups.
“I think we've talked about this is just, just go pay for a premium plan.”
Using AI for Lead Qualification
8:01 to 9:21
See how AI can streamline the process of qualifying and managing leads.
“And we're getting a ton of leads, but some of those come the middle of the night, early, you know, 3 a.m.”
Data Scraping with AI Tools
9:21 to 12:37
Explore how AI can assist in gathering data from various websites for business use.
“So if you talk to an AI agent right now, it's like, hey, how's it going, Brian?”
Broader Applications of AI Beyond Sales
12:37 to 14:00
Investigate potential AI applications that extend into various business operations.
“Upstream of that, there's this software called Browse AI.”
Exploring AI Opportunities in Business Operations
14:00 to 15:05
Discover various ways to utilize AI for improving operations beyond sales.
“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 washes cars.”
Show all 19 chapters
Capturing and Utilizing Meeting Conversations
15:05 to 19:33
Learn how to effectively capture and utilize meeting discussions using AI.
“I'm not wearing it right now because we're on this and I could get the transcript if I wanted it.”
Real-World Applications of AI for Business
19:33 to 24:14
Explore practical examples of how recording conversations can enhance business efficiency.
“to extract value out of them is totally underrated.”
Future of AI in Business Communication
24:14 to 26:53
Understand the potential future applications of AI in streamlining business communications.
“many people are congregating, you want to remember the connections that you're making.”
Building a Knowledge Base with AI
28:00 to 29:10
Learn how to create a searchable knowledge base using AI and podcasts.
“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.”
Challenges in AI Context Processing
29:10 to 31:40
Explore the bottlenecks in AI's ability to process content and the need for effective data management.
“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?”
Emerging Opportunities in AI Education
31:40 to 34:00
Discover how teaching AI to others has become a lucrative business opportunity.
“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.”
Navigating Skepticism Towards Online Courses
34:00 to 38:15
Understand the criticisms and opportunities surrounding online courses and AI training.
“I used to look at it as like, Oh, here, buy my course.”
Healthcare Accelerator and AI Applications
38:15 to 40:59
Learn about a healthcare accelerator aimed at improving efficiency through technology.
“I'm going to lean harder than I did before AI, but I don't think I'm going to totally shift things.”
Engagement and Growth Strategies
42:02 to 43:18
Learn how to engage listeners and grow the podcast audience effectively.
Transcript
Automatic transcript. May contain errors.0:0030 % of the code right now within Facebook or Meta and Microsoft is being written by AI. Then you look at their earnings. Everybody had blowout quarters. They've grown top line revenue. They've shrunk their employee costs because they're using AI to help their engineers 10x. It is so early. People still just have no idea how to use it. And if they are using it, they're 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. What are some other interesting ways that you've seen people making money with AI right now?
0:34So you want to talk AI? You've been doing the series, right? I just finished. I want to know what you learned. Oh my gosh, come on, man. I haven't had time to freaking digest all that. Talk to like 35 people. What are some of the coolest things you've learned? Three things that you're implementing. 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, they're using it to 10 % of its capacity or 5 % of its capacity.
1:11They're not even using it for every particular use case that they could be using it for. I'll give you an example. I'm not even going to talk about agents 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. So what's your LLM of choice? Who's GPT right now? I have a subscription to Claude. So ChatGPT has projects. Claude has projects as well. Do you use the projects at all? So in our last episode, you went through that. Oh, okay. That's right. That's right. We talked about it. Sorry. I'm talking to too many people.
1:44So that was one thing where it was just mind blowing. She didn't show me anything crazy. It wasn't like she's like, 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 have projects for everything now, whether it's work, whether it's personal, whether it's, you know, something that I'm working on with my kids, because each one of those projects keeps context.
2:24And I think the context is important. So to me, that's, 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, we haven't even scratched the surface on the easy stuff. Did you record an episode with her? Uh-huh. You did. Did y 'all do screen share? we did yeah i could send you a link 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 i'm going to go watch that and then i'm going to recommend that our listeners go watch that so this is actually something that listeners like if y 'all have been listening to any of my ai stuff recently then like you probably know that i just i move really fast organization is not my strong suit but i'm kind of to the point right now where i'm in gpt and i've got like a thousand different thing that i've prompted it on and i just need to organize it this is going to be really interesting to go and look at it and if you'll share that link what was her name abby abby she had a million dollar community she had a million dollar business she shut that down and kind of built out her her new business that she's running just framed around AI, which was, which is fascinating.
3:39How she hit 60 K MRR in four weeks using AI. Who is that? Oh, that is Amanda, Amanda Orson. There we go. So she has a software that is effectively trying to eliminate realtors on 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, that, you know, 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 or for recommendations on who's going to do the inspection, like all the stuff that you just wouldn't normally do.
4:17And 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 I mean, at the time, this was two months ago, she's at, you know, 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 10Xing 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? CEO of Microsoft. And Mark Zuckerberg were having a conversation at one of these conferences.
4:54And Mark asked Satya, he's like, hey, what percentage of your code is written by AI? And they hemmed and hawed and they were like, well, you know, 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. 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. Everybody had blowout quarters.
5:28Microsoft, Meta, because they're now leveraging AI. They've grown top line revenue. They've shrunk their employee costs because they're using AI to help their engineers 10x. It's pretty cool. Where are the biggest opportunities right now that you've seen from interviewing these people about AI? All right. Well, let me take a step back. If you're a small business owner, what I would say the biggest, the first step that you do, I think we've talked about this is just, 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.
6:02The reason you pay for it is so that you have more ability to ask it questions. If it's free, you kind of hit a cap, but just start playing around with it. After that, then you'll start kind of 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 of examples after our phone calls. So 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, right? So many times those people call and they'll leave a message or they'll call and nobody answers because there's no message machine.
6:38And then they call the next person, the competitor, and then the competitor gets that business. So there are a couple of 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. Now, they'll do it during the day and after hours, but I like the after hours component to it. And 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.
7:11But you are telling it, hey, once you capture 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 have called in. It's like, 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? I've seen a couple of 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.
7:44I've experimented with that a couple of times. I've been hesitant to implement any sort of AI phone answering. To your point, I'm open to doing the after hours because why not? They're not getting touched anyway. You would have lost it anyways. Exactly. 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, you know, 3 a.m. in the morning sometimes. So is there a way that you've seen for an AI call agent to, or call assistant, to call those leads?
8:24Yeah, there is. I mean, so John Long, I can't remember which episode number, but that's his whole company is Think AI. and I actually have a phone conversation with his agent live on that episode. This is pretty fun. Hey, I don't know if you remember this, but when we started this podcast, we entered into a social contract. I would spend time, energy, and money producing this podcast, interviewing these individuals and giving you insights into how to build, buy, start, grow your business. And you would like, subscribe, and leave me five-star review. Now, out of that, we both get to talk to really cool people and hear really cool insights.
9:00We both get a ton of value, but I just want to help you keep your word. So would you do me a favor? Will you go leave a five-star review for me on Apple or Spotify? It would really help. And if you want, even share this with a friend. And look, you still know it's an AI agent. The problem is the latency. This is the main issue. They can actually have quicker conversations with you. So if you talk to an AI agent right now, it's like, hey, how's it going, Brian? It's good. How are you doing? I'm great, man. And, you know, there's like this lag. The reason that there's a lag is because AI still hasn't perfected listening and understanding when to jump in.
9:39If 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 kind of just causes them to talk over each other. So from that episode, honestly, what I found was, I think if you have an AI agent and the AI agent says, I'm an AI agent, how can I help you? Like, just let the person know upfront.
10:15There's usually not a big problem with that. I'm sure on the tail ends, you'll have people who are just buttheads and they'll hang up. But at least then the person that you're talking to is like, oh, okay, I'm in the know. I'm just going to 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 yes, you can have them actually call outbound and have conversations with potential leads. Cool. That's great. I like your thought process there on just being straight up with the customer.
10:49Hey, this is an AI agent, but I can answer most of your questions just to let you know, like, I'm going to document these. And then somebody from our team is going to be giving you a call first thing in the morning or however you want to frame it. Right. The other thing on the sales side, I would say is like, 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 to be able to interact with people when 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.
11:22I do think that there is a space to be utilizing AI, your 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. That's awesome. What else are you seeing as opportunities? What's the CRM that you use in your business? Go high level. Go high level. Okay, cool. Yeah. So go high level would be a perfectly good CRM to use, but basically qualifying scrubbing lists that you have, right? So you, you have to export it and kind of either put it in a CSV or in a Google sheet and then have Gemini and take a look at it, but you can actually have it now.
11:59I think clay clay is a CRM where it will go and look at those prospects and you can tell it, I want you to pull its LinkedIn profile, their LinkedIn profile. I want you to pull their business information. I want you to 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, I think is a really cool time savings of AI. So like you've seen deep research on ChatGPT. That's effectively what you're doing is like a deep research-esque function on the leads that you've generated.
12:38Upstream of that, there's this software called Browse AI. Have you ever messed with Browse AI? No. 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 script to say, go to Google business profile and pull this specific information. And if they weren't on Google business profile, you're kind of out of luck. That's actually what a system like not go high level, but out scraper does right out scraper just goes and pulls all the Google profile, Google business profile listings and nothing.
13:11that 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, because 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 Browse AI, or excuse me, whatever Outscraper has pulled together from Google Business Profile. you can actually go to the websites of these companies and pull that information because you're you're now using context you're not hard coding where you know and telling the software where to go to actually pull it so i think that's a really 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 browse.ai huh yeah yeah that's super interesting yeah and all this stuff is like straightforward and inexpensive in the grand scheme of things for what you're actually getting no it totally is and if you're willing to spend a little bit of time on it you'll you can figure it out and build some pretty cool stuff in a short amount of time where are some other opportunities outside of sales okay 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.
14:35I'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 washes 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 F-150s. Anyways, 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. So 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.
15:13So 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. And 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, well, let me back up. Why? Sorry. Why? Why would I want to capture all this information? It's because I can then take that information in those transcripts and put it into my LLMs and say, please summarize this conversation.
15:45Please tell me who I need to follow up with, et cetera. And then if you 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 this app 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. Do you know what the problem was? Hey, what did we say we were going to do? I can't, what? No, no, no. That's not what we said, Austin. What we said was that I was going to go and you were going to stay.
16:19No, I remember that very clearly, you said that you were going to go and out, you know what I mean? And so recording, it just takes away the mental stress of like 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. But 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.
16:53And they're going to 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 Plod. Plod's another pendant that's out there. It's cheaper. But just record 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 like one-on-one conversations and I'm relying on my recall at this point is just not good because I have so many different conversations.
17:24So video is cool, but I have what scientists call a face for radio. And so what's even cooler is long form audio via my podcast and my newsletter, nickonomicspod.com. Go there for free, subscribe to my newsletter. It's one email per week, super tactical. And then go to my audio podcast. I do three to five episodes a week, depending on how curious I am. And it's stuff like this. It's all free, no sleazy sales pitches, nickonomicspod.com. 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 going to be leveraging AI.
17:55It's going to be an accelerator and it's within a healthcare organization that I'm working with. Well, I have an intern who's helping me create that. And our first couple of 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? How do we get there? What are all the things that we test? Hours of conversation. Typically, I don't have those recorded. It's not like I have some, some chat bot, but I have my limitless pendant. And from that conversation, those conversations, I created a 12 week internship program, deliverables broken down to the day where it's like, all right, today you're doing this.
18:31This is who you're talking to. And it took me a little while after those conversations to iterate that way. But 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'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're talking, you're talking to your accountant about taxes.
19:02How many times like the next, every year I do taxes. I'm like, what did we decide last year? Why did we decide that? 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$350 an hour for my attorney or my CPA to tell me the answers to those questions. So 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.
19:36This is incredible. this I have so many ideas even and I know you're you're sort of looking at it more from like you said you're doing a health care accelerator but like my head is going to man if I'm an excavation business owner with a crew of three can 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 I mean, 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, because I'm sure, I'm sure you're set in with zaps.
20:18I 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. Limitless not yet. It will. It will. I haven't figured it out yet. Yeah, it's like, it's kind of like an extra, it's harder. They don't have a bunch of API integrations. They will. Oh, really? Yeah. So right now I'm copying and pasting it. But then from there, everything's kind of automated. So let's talk about the future, like once they will. I mean, I'm envisioning this as if you, eventually you could be like, okay, we are having a morning operational plan meeting right now.
20:55And John, Trey, and Adam are present, right? 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 ChatGPT 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. 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.
21:37Can I do you one better? Are you ready for this? Yeah. Cause I've been, I've been thinking about this as well. I've had many conversations about this. Think about you have a sales team, you know, maybe you have two, three, four, five sales reps out there. 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. Neither one of those tell you the whole story, especially on a ride along. You're just kind of 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 like, Hey, tell me how they're doing.
22:08How are they doing about closing? Are they following up 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, you know, 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 their pain points. Like you've already gotten like 80 % of the way there from those transcripts in and of themselves. So it allows you to manage those salespeople way better than maybe you otherwise would have in the past. Or like you said, these guys are out in the field.
22:39It 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. but if it's capturing those conversations and then it's like there's a dispute like oh well let's go back to the to the transcript and even if they're like well 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 can just kind of let's 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 is a really, really big one.
23:18I'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 salesperson to tell me what the customer is telling them in their on 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. The other cool things that have been is like, 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?
24:00Oh, 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 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 want to remember the connections that you're making. How else do you do that? It's like, it's kind of, 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.
24:31When you go to follow up, when you're like, oh yeah, Austin said that something about excavating, what did he say? I think I might have something for him and they go with the transcript or you listen to it and you're like oh easy that's what he said um here's his pain point i can send him a follow-up message that's very personalized i mean just the amount of especially you as a creative entrepreneur the amount of ideas you have that on any given day this is going to unlock so many ways to document those what did we talk about scenarios and i mean this is this is going to open up the world into having a personal assistant eventually once this thing has an open api it might have an open api i just have it's it's more complicated than the typical software that's been out there for a long time it might not have a zap right so it's like i think it has API capability, but it doesn't have a zap.
Read the full transcript
25:30And so you got to whatever, do a workaround. Yeah. I've started when I'm just walking around or, you know, doing yard work. How many times do you have an idea that comes to your head and you're like, Oh, I got to document this. And you pull out your phone and maybe you text, you just are talking now. You're like, Hey, so I think I know how to document this SOP on procurement. Yes. I want to focus specifically, you just start talking, right. And it's recording it. And then you can go back to it and it's the SOP is just there or the follow-up items I need today or the things I need to get done this weekend or whatever it is.
26:02Like you said, opening it up for a personal assistant, but it's 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. Yeah, this is going to open up a lot of opportunities. Let's see, how much is it? The Limitless AI pendant is like$500, I think,$400. $399 per year. Wow. It's not cheap. It's not cheap. $399 per year though, to have it do what it's doing. I'm thinking that's a great deal. If, if it's going to take everything that I have bounced around in my head and help me standardize some of it and create some checklists and actually get it over the people.
26:44You can optimize it for sure. If you can optimize it. Yeah. Thanks for sharing that. There's so many opportunities and ideas that I have right now for how this could help. But I mean, this is essentially just like it's making it an actual thing right now and bridging the gap between like we're literally going to have an AI assistant shortly. Shortly. And 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. So right now, it records, transcribes, and then keeps that in a bank.
27:21and then basically you just have to go copy that transcript and then if you want to summarize it you're plugging it into gpt or clod or whatever and saying please summarize this create a step-by-step checklist yeah i mean 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 tpt because i feel like that's just adding even more context to me and my conversations 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 want to do that, you can have, you can pay a VA to do it.
27:53So this kind of goes into a concept I've been thinking about quite a bit, especially with the podcast, because I'm interested 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 OwnerOps 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.
28:29Like if somebody were to come to OwnerOps.com, I want to be able to have a bank where it's like, you can just go in, search with AI. Hey, what do some of the OwnerOps 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, really great answers to people. As long as we continue to bring on great guests that 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?
29:12There'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 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 LLMs to process it. That is a bottleneck right now. So I don't know how many episodes you've done of the owner ops podcast, but AI is, is trying its best to balance two things, speed and accuracy. Nobody wants to be sitting for 30 minutes for it find the perfect answer, but also nobody wants it to be a split second and hallucinate and be totally wrong when it's trying to find those things.
29:52So there are limits to how much context it can hold in its head at any given moment. Google can hold a million tokens of context at a time. OpenAI, ChatGPT is kind of 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 like, I want you to get rid of all the ums, the ahs, the hums, and filler words, all of a sudden, a lot less information that you're uploading for context. Beyond that, though, you do need to format scrub and put the data somewhere so that it's easily queryable and it's not just searching everything that you've ever done.
30:43So for some of those episodes, for example, you're going to have to go through, and you can use AI to do this, but you're going to have to go through and assign tags to it. You're going to 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, 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.
31:19So thinking through how to architect it in a way that allows it to still access that data without totally taking up the context window, it's complicated. And do you think that that will be solved regardless within a reasonable timeframe? Call it one to three years. 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 to 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?
31:53Like, 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? Because you could have made a mistake yesterday. Like those problems are not necessarily going to go away by AI. AI is going to make inferences, but 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.
32:27you think that ai system architects are going to be the new software engineer of the next decade oh for sure i don't know about for sure but yes it's going to be a thing i mean 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 can we write the right prompt to get the right output and their company's 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 going to be a whole host of things that pop up that people aren't even thinking of right now.
33:07Data, I don't even know the right word, data architecture, data, data storage solutions are, I think are going to become more and more popular. What are some other interesting ways that you've seen people making money with AI? right now? Oh man. 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 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, Hey, I've done a home services business.
33:48I know what it takes to run one of these. And if you to learn about AI, I can do a bootcamp. That's real value. I know some people might look at that and be like, Oh, nice money grabbed 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 like, Oh, here, buy my course. I'm going to 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 like sit around and dick around on YouTube and like figure this stuff out.
34:18So just cool. I trust you, Austin. Just tell me what I need to know. 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 going to go talk to Nick about AI. I'm not going to talk to Austin. He owns an excavating company. Why am I going to 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 rappers like this vibe coding stuff lovable hugging face well hugging face i guess isn't one of those but replit cursor where you're just kind of building apps by yourself and putting a wrapper around chat gpt those 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 vibe code for 36 hours straight there's a million things out there man it's it's I feel like it's more difficult to pick one thing to learn about than it is to just get started.
35:20Cause like after you get started, then you're like, well, 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. Totally. Yeah. There was a point in time where somebody was asking me like, you know, like, 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, like if I can carve out an hour straight with it each day, I feel like I learned something new or I optimize something within the business. And I really do think it's a great time.
35:52And 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 like why is there such a negative pushback with the with the course thing well I think people are jealous I think that's one reason I think that unfortunately over the last five ten 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 so it's kind of like there's a grift going on.
36:33It feels scammy. And then I think that courses are not higher education. So there's just a level of skepticism with, well, does Austin really know? Does he even have a certification? I bet he doesn't even know about the right architecture. I bet he doesn't even understand the Geneva protocol that came out last March. It's just easy to be a naysayer. I think those are the biggest reasons. I don't know. What do you think? I do see a lot of this though, but I do also see people who have built successful businesses, you know, offering some education around it and charging money for it. And plenty of people I've brought on the podcast, for example, you know, we'll be in, let's say it's soft washing or tie and stump grinding.
37:18You can't knock a guy for being an entrepreneur and figuring out another revenue stream, especially if it's helping somebody. And so. well especially when they're being asked for it and people are like i'll pay you like just help me get this started what is he supposed to do and that's the thing it's like once you once you start talking about a business that you've built plenty of people are d 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 i'm like man it's funny if you've built a business like and you've 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 like yeah yeah why not agree same with ai so is this where you're going with your podcast you're gonna you're gonna lean harder into the ai stuff I'm going to lean harder than I did before AI, but I don't think I'm going to totally shift things.
38:21Before AI, it was like how to help you start, buy, and scale your business to make your first million dollars. That was like my idea. Now it's like start, buy, 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 Greg Eisenberg or it's just AI, AI, AI. Because AI is good and it's important, but in my mind, it's a tool in the tool belt.
38:58Like if you're trying to build a house, having a saw doesn't build you the house. You got to have everything, right? I mean, the saw is incredibly important because you can't build a house without one, but 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 because I know nothing more than that. But it would be intellectually non-satisfactory to me to just talk about AI all the time. I want to 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?
39:29How do I make a million dollars and achieve financial freedom? That's really where I want to get headed. I love that. It's such an important piece. So your analogy is basically you're still bringing the business acumen and the knowledge of building and scaling businesses to this. And your perspective is very similar to mine. 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. Yeah, 100%. So tell us more about the accelerator. Is that healthcare specific? It's still a little bit under wraps, but yes, it is healthcare specific.
40:10And the idea would be with a 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, get 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 these products and obviously invest or not invest. But I have some really good relationships with people in healthcare and they're 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.
40:47So for me, it's like, 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, you know, who knows what happens. There's just so much opportunity in particular, even if they're just AI wrappers 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. From 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 more bottom line for operators in the industry.
41:24And it doesn't have to be through the government coming in and applying more regulations. We can solve it through technology. And I, I just think it would be fun to play a small role in what's coming. So that's, that's the, the quick and dirty of the healthcare accelerator. That's awesome. That's awesome. Well, anything else you want to share on that? No, man, I'll have more to say. I'll have more to say at some point when it, when we finally launch it, but where can our listeners find your podcast and your content online nickonomics n-i-k-o-n-o-m-i-c-s nickonomics that's on youtube botify apple you can find me twitter is my favorite place co-founders nick and come come say what's up so listeners if you are listening to this text in your questions for what you have for nick because we're going to do another episode we'll likely do but i want to know specifically what questions about ai do you have so shoot us a text so send those in and we'll make sure to ask those in the next episode with nick don't forget work hard do your best never settle for less all right hopefully you like that episode and if you've made it this far you're either really committed or you're stuck doing yard work and you can't actually skip on your phone so while i have you the show is growing but i i have a favor to ask of you will you please help me grow the show i want to reach more people there's a couple things that you can do like and subscribe is the simplest thing obviously you want to get notifications for when the next episode is coming out but if you go the next step will you leave me a review five star on spotify or apple what that does is it tells the algorithm that oh hey this is a high value podcast because more people are leaving reviews for it and it then pushes it out to more people so that's why when people are like will you like and subscribe and put the five star rating it's not just to make themselves feel better it's actually to get more exposure for the show.
43:19So if you do that for me, I would greatly appreciate it. And I'll see you next time.
From the publisher
🚨MY NEWSLETTER https://nikolas-newsletter-241a64.beehiiv.com/subscribe 🚨
Join me, Nik (https://x.com/CoFoundersNik), as I interview Austin (https://x.com/theownerop), the host of the Owner Ops Podcast!
This episode is packed with insights on how AI is transforming the business landscape right now. We dive into the sexy and unsexy sides of AI, discussing everything from architecting AI systems that allow you to leverage AI more than ever before, using projects in LLMs like Claude and ChatGPT for context, to practical applications that can immediately impact your bottom line.
We explore how businesses are leveraging AI for massive gains in sales, whether it's through after-hours lead capture with AI call agents from companies like Thynk AI by John Long, or scrubbing lead lists and performing deep research with tools such as Gemini and specialized software like Clay, and Browse AI for scraping website data.
We also uncover the untapped potential of capturing daily conversations using AI pendants like Limitless Pendant or Plott, and AI note-takers such as Otter AI, Fathom, or Fireflies for meetings. If you're a business owner or an entrepreneur looking to implement AI as a vital tool in your belt, this episode is a must-listen!
Enjoy the conversation!
Questions This Episode Answers:
How early are we in AI adoption, and what does that mean for businesses?
What is the number one best use case for AI in small businesses right now?
Can AI call agents follow up on leads in the middle of the night, and how can they do it effectively?
How can AI help with deep lead research, qualifying prospects, and scrubbing data lists for sales?
What are the benefits of recording daily business conversations with AI pendants and note-takers for operations, management, and knowledge capture?
__________________________
Love it or hate it, I'd love your feedback.
Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.
__________________________
MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribe
Spotify: https://tinyurl.com/5avyu98y
Apple: https://tinyurl.com/bdxbr284
YouTube: https://tinyurl.com/nikonomicsYT
__________________________
This week we covered:
00:00 The Rise of AI in Coding and Business
02:56 Maximizing AI's Potential: Early Adoption and Use Cases
05:51 AI in Sales: Capturing Leads and Enhancing Customer Service
08:46 Leveraging AI for Operational Efficiency
12:09 Innovative AI Applications Beyond Sales
15:04 The Future of AI: Knowledge Management and Personal Assistants
17:59 Building a Knowledge Base with AI
20:53 The Role of AI in Business Education and Training
23:47 Healthcare Innovations through AI
27:06 Conclusion: The Future of AI in Business

