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Index/AI & Data/Dave Learns AI: A Taptico Solutions Production
Dave Learns AI: A Taptico Solutions Production artwork

How We Built a 52-Agent AI Workforce (And Why NVIDIA Just Validated It)

Dave Learns AI: A Taptico Solutions Production · 2026-03-23 · 40 min

0:00--:--

Key moments - from our scoring

Substance score

60 / 100

Five dimensions, 20 points each

Insight Density12 / 20
Originality13 / 20
Guest Caliber14 / 20
Specificity & Evidence11 / 20
Conversational Craft10 / 20

After leaving corporate marketing roles frustrated by meeting-heavy work, Nick discovered OpenClaw six weeks ago and recognized it as the foundation for building AI-powered business processes. He spent months learning the technology and built Taptico Solutions around creating specialized AI agents for small businesses - starting with PIA (Project Intelligence Agent) for a client managing RFPs against massive historical data, then La Z Boy, and now scaling to a 52-agent workforce called the Slingshots. Each agent is PhD-level trained in specific niches: Lucy serves as Devil's Advocate, Vince handles sales outreach, Serpico manages SEO, Protocol creates SOPs. The breakthrough validation came when NVIDIA's Jensen Huang announced Nemo Claw at GTC 2026 - a five-layer security wrapper around OpenClaw designed for enterprise deployment. NVIDIA is bundling this with hardware sales (they manufacture the chips all AI runs on), creating demand for their products. For Taptico's team, the shift from tool-focused work to agent-systems thinking has been transformative: Tribble and Nick now answer in calls what previously took weekends, and they're hiring clients a Chief Agent Officer (CAO) role. This represents a fundamental restructuring of how small businesses compete against larger ones.

Key takeaways

  • →OpenClaw enables individuals to build specialized AI agents that run locally on personal computers with access to internal data, avoiding cloud security concerns and providing instant automation of knowledge-intensive tasks like RFP research.
  • →NVIDIA's endorsement of agentic AI through Nemo Claw validates Taptico's approach and signals enterprise adoption, though the real business model is NVIDIA selling the hardware chips required to run these systems.
  • →A 52-agent team led by Bo (Chief Agent Operator) now handles work that previously required human teams - from copywriting to SEO to devil's advocate analysis - each trained to PhD-level depth in specific niches.
  • →The shift from tools to systems thinking changes everything: instead of ChatGPT dipping, teams now build orchestrated agent networks that answer client needs in hours instead of weekends.
  • →Small businesses can now hire a Chief Agent Officer (CAO) to compete with Goliaths, turning the American dream accessible to entrepreneurs who previously had no shot against corporate-backed competitors.

In this episode

  1. 1The AI Awakening: From Corporate Burnout to AI Learning
  2. 2Discovering OpenClaw and Building the First Agent (PIA)
  3. 3NVIDIA GTC 2026 and Nemo Claw Validation
  4. 4The 52-Agent Workforce: Meet the Slingshots Squad
  5. 5From Tools to Systems: The Evolution of AI Strategy
  6. 6Security, Scalability, and Enterprise-Grade Solutions
  7. 7The Future Vision: Confidence, Speed, and Unlimited Possibilities

Mentioned

Taptico SolutionsOpenClawNVIDIANemo ClawChatGPTPerplexityClaudeGustoPayPalJensen HuangAlex FennPeter Steinberger

Guests

NickTribbleChuck Richardson

Topics in this episode

AI agentsAgentic AIJensen HuangOpenClawNVIDIA Nemo Clawsmall business growthbusiness productivityGTC 2026Chief Agent Operator (CAO)Project Intelligence Agent (PIA)SlingshotsBoLucy (Devil's Advocate agent)

Questions this episode answers

What is OpenClaw and why is it different from ChatGPT?

OpenClaw is an agentic AI framework that runs locally on your computer, gives AI access to your entire system and files, and lets you build autonomous agents that perform actual tasks - unlike ChatGPT which is conversational. It's open-source and free if you know how to run GitHub, command-line interface, OAuth, and API keys.

How did NVIDIA validate what Taptico has been building?

Jensen Huang announced Nemo Claw at GTC 2026, which is NVIDIA's enterprise-grade security wrapper around OpenClaw. Huang said OpenClaw is the new way people will do business, and NVIDIA is offering it free but driving hardware demand since they manufacture all AI chips - validating the agentic AI approach Nick pioneered.

What does the Slingshot team of 52 agents actually do?

Each agent is specialized in a specific niche (copywriting, SEO, devil's advocacy, protocol/SOP creation, etc.) and runs locally on Nick's computer as part of an orchestrated system led by Bo (Chief Agent Operator). They handle client work like searching tens of thousands of files for RFP data, creating go-to-market strategies in an hour, and providing internal critique.

How does Taptico deliver faster results than human teams?

Tribble now delivers on calls work that previously took weekends, because the Slingshots can instantly search massive data sets, generate strategy, and execute processes - all orchestrated through Bo and requiring only human-in-the-loop approval rather than ground-up creation.

Why did Nick leave corporate to start this?

He was head of marketing at Gusto but got stuck in meetings managing 12 locations, unable to focus on strategy. He left after ChatGPT launched, spent 18 months learning AI full-time on savings, and realized AI could level the playing field for small businesses against corporate Goliaths.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

12 / 20

The episode contains some genuinely useful practitioner insights - specifically around agent architecture, SOP creation, and multi-agent orchestration - but is heavily padded with repetitive enthusiasm, throat-clearing, and lengthy personal backstory. The core insights (e.g., guardrails for agent control, mentorship between agents, rapid task execution) are valuable but sparse relative to total runtime; much of the conversation circles the same themes without adding incremental detail.

We're learning. We're scraping our knees, and we're falling on our face sometimes, and Bo crashes out, and we're learning that so that you don't have to.
What I've done is I said, heidi, you're a better agent and your program better than I programmed Bo. I want you to mentor Beau every day.

Originality

13 / 20

The episode applies agentic AI to real business workflows (multi-agent orchestration, SOP automation, agent mentorship) in ways that feel operationally novel, particularly the idea of having one agent teach another. However, the framing around small businesses vs. enterprise, the David-vs-Goliath narrative, and the broader open-source AI movement are well-trodden territory. The originality lies in implementation detail rather than conceptual breakthrough.

What I've done is I said, heidi, you're a better agent and your program better than I programmed Bo. I want you to mentor Beau every day. And they have, and I see the conversations, and so do you guys.
every time that we build one of these SOPs, we're learning it on behalf of our current clients and our future clients so they don't have to learn them. And that's the wisdom in what we're doing.

Guest Caliber

14 / 20

Nick is a practitioner who has actually deployed 52 agents in production, iterated through operational failures, and is now consulting clients - this is genuine domain expertise. However, this is not a guest episode; it's co-hosts discussing their own company. The caliber is high for substance (real execution, real mistakes learned) but lacks the independent external perspective and verification of impact that distinguishes truly high-caliber guest appearances.

I was the head of marketing for Gusto. Um, built that from two locations to 12.
He crashed out once. I'm not a coder man. Like, I don't know how to code. I'm a marketing brand guy. I'm a process guy. But I saw that the foundation to build AI processes and systems was put in place with OpenClaw.

Specificity & Evidence

11 / 20

While there are concrete examples (PIA for Chuck Richardson's RFP search, La Z Boy as second client, 52 agents with named archetypes like Lucy, Vince, Garrison), the episode lacks hard metrics on outcomes. No data on response time improvements, error reduction, cost savings, or revenue impact. The technical details of agent behavior (e.g., Heidi's 1-100 scoring system) are described but not quantified. Crashes are mentioned qualitatively (12 days down to 3 minutes) but without enough context to assess magnitude.

The first time we lost Bo was a 12 day, and it took me 12 days to revive them. Now we're down to like, three minutes.
PIA will go back, search literally all of their files, tens of thousands of files. Um, Excel spreadsheets longer than my own, my arms just massive amounts of data and instantly, or almost instantly be able to extract the data they're looking for.

Conversational Craft

10 / 20

The hosts demonstrate comfort with each other but ask few genuine follow-up questions or push back on claims. Dave occasionally tries to redirect Nick's tangents ("I don't want to get in the weeds of all the coding talk") but largely lets the conversation meander through personal anecdotes and philosophical musings about corporate work. There's minimal probing into failure modes, trade-offs, or competitive dynamics. The tone is enthusiastic agreement rather than rigorous inquiry.

I don't want to get in the weeds of all the coding talk just at this particular point because we're really trying to. I want to build the story of how you got from. Or how we got from here to here in such a short time.
Wait, wait, wait.

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Share of words spoken

  • Speaker B61%
  • Speaker A30%
  • Speaker C8%

Most-used words

dave20nick18agent16openclaw14claw13open12learn11built11back10slingshots10clients10heidi10started9nvidia9systems9learning9

Episode notes

Join us for a special episode of Dave Learns AI where we dive into one of the wildest experiments we’ve seen yet. Over the past year, Taptico founder Nick Tapp built an entire workforce of 52 AI agents - without writing a single line of code. In this episode, Dave, Nick, and Tribble break down exactly how a non-technical person managed to accidentally hire and manage an AI army known as "The Slingshots." We explore the origin story of the very first agent (PIA), the unexpected successes, and how these AI systems are helping small businesses - the Davids - take on the corporate Goliaths. We’re also tackling the massive news from GTC 2026: NVIDIA’s announcement of NemoClaw. Jensen Huang just validated everything Nick has been doing in a basement for a year, dropping the barrier to entry for AI agents to nearly zero. What does this mean for everyday business owners? Are AI agents finally here for the rest of us? Whether you're a seasoned techie or a business owner wondering where to start, this episode proves you don't have to understand exactly how AI works - you just have to decide you're going to figure it out. We learn AI so you don't have to.

Full transcript

40 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: This is Dave Learns AI, a tactico solutions podcast. I'm Dave Clapper, diving into the real world. Ways AI is changing business creativity and how we work. No fluff, no jargon, just practical insights and experiments you can learn from right alongside me.

Speaker B: Like, holy crap. I just need to figure this out because it's crazy.

Speaker A: Wait, wait, wait.

Speaker B: I was sitting. You know I was living with Dutch, right? I was living with Dutch. I was, uh. He had his girlfriend there. So I'm sitting in my room for weeks at a time, literally, just, like, trying to stay out of their hair. And I see this thing about openclaw, and it's. It's literally just. I'm like, this. This is it. This is what we're talking about. Like, this is where it's headed. All of this, two years of trying to learn about AI is like, this is. This is it. This is the time.

Speaker A: The time is now, Nick. We're gonna get to that. We're gonna get to that. You're.

Speaker B: You're giving. You're, You're, You're.

Speaker A: You're giving it all out before we even get started here. Wow, there's so much to talk about and so much.

Speaker B: Sorry. I'm a content whore, you know, I just. I just give it away for free.

Speaker A: Um, you can tell you're excited, and there's a lot of reasons to be excited. And ultimately, we're going to talk about some of those things. Guys, um, here's the deal. Nick built, um, 52 AI employees, and we've been talking about it a little bit in the last couple of weeks. Um, and we're going to talk more specifically about it because it's been validated. It's been validated in, uh, the world of AI by one of the most powerful men in the business. And we're going to talk about details on that. We're going to talk about how we've created it, why we created it, or Nick created it, and what we're going to do with it and how important it is for. For everybody. Listen, this is called Dave Learns AI. I'm Dave. We've got Tribble and Nick. Nick's the founder. Tribble, uh, and I are just partners, just, uh, along for the ride, really. This has just been almost a year, and it's been a crazy, A crazy ride. So ultimately, we talk about. This is where I learned a bunch of stuff. I am in the weeds with Nick, but Nick has been going, going nuts, man. Really, really, really, really doing a lot of stuff that's been pretty crazy. And, uh, real quickly, the GTC 2026 happened this past week. Um, Nvidia just announced Nemo Claw, which is basically Nvidia putting its full weight behind the kind of thing that Nick and Tactico has been doing for months now. And, uh, that's pretty much where we're going to get going. So, um, Nick.

Speaker B: Yeah.

Speaker A: Give us a little bit about Nvidia and, uh, the validation of what just happened this past week.

Speaker B: So anyone that listens to our podcast has heard us talk about Open Claw. We've talked about bo. BO is our version of Open Claw. Right. And when I saw this, like, that's what I was talking about earlier because, you know, we did a little bit of pre talk here, and then Dave hit record, and then all of a sudden, oh, here we are. But, uh, but basically openclaw is, is your own personal AI that actually, literally does stuff, right? You give it access to your entire computer. It can do whatever, whatever you want. Right. I've got Bo running on an old MacBook 2018 MacBook Pro, which we're gonna. We're gonna upgrade that soon. Um, but as I'm, um. You know, he. He crashed out once. I'm not a coder man. Like, I don't know how to code. I'm a marketing brand guy.

Speaker C: Right.

Speaker B: I'm a process guy. But I saw that the foundation to build AI processes and systems was put in place with OpenClaw. So it was kind of like a eureka moment for me. And so I think I saw it on a YouTube. Alex Fenn, by the way, if you don't. If you guys are into this, um, specifically openclaw, Nemo Claw, Alex Finn is. He's the one.

Speaker C: He's a great follow.

Speaker B: Yeah, he's funny, he is easy and approachable, and he. Yeah, he's sarcastic. He's great. But, um, maybe we'll get him on Dave. I'll. I'll make that a thing. Um, so, uh. So I think I saw him talking about it and I was like. And literally, like, I'm stuck in a room, right? Because I don't. I think it was actually up in. When the ice was coming through.

Speaker C: Yeah, Ice storm.

Speaker B: And I had a hotel room and I was locked in. I was in. In a hotel room with the ice. And I just kind of started. So whatever the date was of that is when I started on openclaw, when ice came through Atlanta. So, um, sorry, that was six weeks ago, give or take. And since then, Open Claw is updated probably over 20 times now, 25 times. It's they, it updates so often that they actually change the. The name of the version is the date, the specific date. It's like 2026 0317. That's how often it changes weekly. That's why they have to do it like that. So anyway, think how much.

Speaker C: Think how much. Let me just jump in because how much our business has changed in seven weeks, Think how much this has changed our business. And when I saw GTC and Jensen standing on stage. Nick, you're a tech nerd. Kind of like me. Everybody. It reminded me of the old days of the wwdc, the worldwide developer conference with Apple and Apple and, and how every year people would go there and it would just be. Everybody's just waiting for something to blow their minds. And every time they deliver, it's. It's that kind of energy going on in the AI space right now.

Speaker B: Yeah. And Jensen Huang, who is the guy that started Nvidia. And just quick recap, if you don't know who that is. Nvidia builds all the chips that allow AI tools to do what they do. So they did a really brilliant thing in my, in my estimation as a mastermind of business and events. Doing open means it's free. That's what openclaw, right? Nemo Claw. OpenAI is supposed to be free, but open source is basically free code base. So what Open Claw is. It's free if you know how to run it. You just know how to have a GitHub. You know how to run command line interface. You need to know how to build it out, you need how to run OAuth and API keys. I didn't know what any of that meant. Two months ago I knew what an API key was. This is about it. CLI command line interface. That's terminal use, right? I'd never opened up my terminal.

Speaker A: And you know, I don't want to get in the weeds of all the coding talk just at this particular point because we're really trying to. I want to build the story of how you got from. Or how we got from here to here in such a short time. I mean, think of that, think of this. Before any of this, which happened six, seven, seven weeks ago or, or even before Tactico. We all joined forces back last year. What problem were you actually trying to solve? Not the aver. Not the AI version, like the real problem. Uh, what was the moment you decided to try AI instead of just hiring a person? Now, you didn't know what you were doing. You just knew that this was something you wanted to do. Tell me more about what happened when

Speaker B: I was the head of marketing for Gusto. Um, built that from two locations to 12. Whatever it is. I got stuck in meetings all the time, and I'm running marketing for 12 different locations locally. And all of the online stuff, the website, social media, um, newsletter, everything. Right. Our rewards platform, you get so busy and mired down, and when you start managing people, you get stuck in meetings. So you're working in your business, not on it. This is about the time that, um, ChatGPT came out, and I remember telling my marketing team who. I love all of them dearly. They're amazing. They're like a family. Um, I said, if you guys aren't learning about AI right now, you need to. It's going to make all of our lives a lot easier. But I was too busy to do it because I was stuck in meetings in corporate America. And that made me want to put my head in an oven. Um, but an electric oven, not a gas oven. So more of a cry for help, but just pain. Yeah. Give me the pain. Um, so I leave Gusto because I just lost the passion, and if I'm not waking up excited to go to work on a Monday morning, then I'm off track. And so I left Gusto. They knew I would checked out. I still love Nate Hibble. Like her brother. I take a bullet for that man. And, um, and I, you know, I had savings. I'm laying around, not doing anything. So I'm like, I'm gonna learn AI right now. And that's what started me, um, down this path. But I am. I've been laid off. I don't know Dave, what, four or five times in my life by big corporate. So is Dave. You know, Dave got laid off from a massive company that everyone's heard of because he was doing too good of a job and making too much money on bonuses. True story.

Speaker A: That is a fact.

Speaker B: That's true story. So I'm just anti corporate, and I just think that there's soulless. I believe that corporations and 9 to 5 is the current slavery, honestly, because you're forced to be there, you know, and if you want to work and have a house, you better. I mean, if you want to eat and have a house, you better go to work and do what we say, and you better ask for time off, you know, you better do all. I hate it. So, um, I started learning AI and Taptico came to me because I was like, AI is the solution that's going to help the Davids take on the Goliaths. I'm a fan of entrepreneurs. I'm a fan of small businesses. You know, Main Street America, the moms and pops, all those guys getting, you know, either decimated by chain stores, uh, you know, franchise, all that stuff. No, like, I want people to be able to follow the American dream. And you don't get rich, and you don't get to fulfill your dream. Working a 9 to 5 for a corporation when the state, the actual shareholders, the one who everyone bends, um, the knee to. So tabs company, um, I'm like, we can help small businesses by integrating AI because no one else has the time to learn it. No one else had the benefit of being laid up on the couch for a year and a half with living off their savings account, spending 10 to 12 hours a day learning this stuff. I did. Now I've got the knowledge, and now I'm sharing it with you fun people.

Speaker A: Who was the, uh, like, what was the first agent? Can you. Like, was it in the moment when you found open claw, or were you kind of starting to play with agents, naming people, assigning responsibilities and jobs before the open claw door opened for you? Like, when, like, at what moment were you like, okay, this is next level.

Speaker B: So, uh, PIA was the first agent, and that was for our first ever client that think. Thank you. Chuck Richardson put this on, on tape forever. Um, literally the day that we sent out a press release and announced that we're launching this company, Chuck Richardson, who I went to high school with, hadn't Talked to in 20 years, request a meeting. And Dave was with me. And we're looking at our phones because we get notifications like, we're not a meeting. And Dave's like, you know, this guy's like, I went to high school with him. And he did the same thing. He left corporate America and started his own deal. And he's just been so supportive and so patient as we learn what we're doing. And then, um, La Z Boy in Columbus, you know, that was the second one. And with them, uh, on board, it provided us, you know, enough money to pay some of the bills, but to continue like it validated where we were going. So since then, it's been boom, boom, boom. So I built pia, which is short for Project Intelligence Agent for Chuck and his team. They run in Microsoft. And what PIA does is they have a lot of junior associates there. And what it does is it actually is an expert on all of cig, which is our client, um, all of their historical data. So everyone has access to, to historical data to work on future work. So, like, if an RFP comes, a request for promotion comes in, they can type in or copy and paste it in there, and PIA will go back, search literally all of their files, tens of thousands of files. Um, Excel spreadsheets longer than my own, my arms just massive amounts of data and instantly, or almost instantly be able to extract the data they're looking for. And that was the first agent I built, Tribble.

Speaker A: What was, uh, like, when you're starting to see what he was doing? What was like your first reaction? Like, this, uh, man's insane. He's like Dr. Frankenstein. He must have been blown away.

Speaker C: I call it a paradigm shift. And Nick going in the lab and learning this stuff. When I'm hearing him tell his story, I just think of all the things that he had to learn so that he could be at the right place at the right time. When this Open Claw and agentic AI kind of came around. If he would have just been dipping his toe into all this, or if we had just started as a company, we might not have been ready to pivot and really adapt our processes to what the technology could bring us. And so, yeah, it's mind blowing, Dave. I think that it welcomed or encouraged me to get out of my comfort zone with the chat GPTs and the basic LLMs and really, um, encouraged me to kind of start incorporating agentic AI into my processes as well. And that's what I tell everybody. Get off chat GPT, get into a manus agent, a perplexity computer, um, chatgpt 5.4. Now just start tinkering and it'll blow your mind too.

Speaker A: So it's crazy because it was, I don't know, maybe a month ago, a little more than a month ago, we were talking about Dave Learns AI and we're like, let's make it a like tool feature. And we're going to, we're going to tell people about tools, how to use them in the best, you know, best case scenario or use case scenarios or whatever throughout. And we did, and we came out, we came out Perplexity and we came out Manners. We're like, hey, look at all these tools. And then Open Claw came out and it immediately, I, uh, mean, we went two episodes in and not only has it changed the industry, but it's also changed the way that we think because we're like, let's talk about tools now. Now it's not really about the tools now, it's about the systems. And the systems that not only taptico is building, but people who are out there learning how to code in this way, who are turning into real positions, they're calling them CAOs. Um, which is your chief Agent Officer, which we have one. And Nick's been the orchestrator of that. But just how it's changed from, hey, check out these tools. You can do these things now. Check out how to build an agent, how to create a team, how to actually, um, make everything automated to just excel your business, your thought process, your ability to have success a hundredfold.

Speaker C: Yeah. And I think the best way to. Dave, I don't know if it's this part in the show, but can we showcase what our agents, uh, look like? Our team of agents?

Speaker A: Yeah, man, feel free. It's pretty awesome. Yes, absolutely.

Speaker C: Nick, while I'm pulling that up, why don't you talk to talk about our, um, Slingshot squad?

Speaker B: So we talked about it earlier. Um, so the Slingshots are run by Bo. Bo is our chief agent operator. So he has a team of 52. Right now it's about to be 53, um, slingshots that are basically sub agents. So they live. This is all lives on my computer. So it's super secure. Um, but our slingshots, 52 of them, uh, looks like 50 or 50 are in there, but, uh, we have 52 of them, I guess, including Bo. But they are all special, specially trained at a PhD level in their own very specific niche. Right. Their own lane. So there's a copywriter, there's an SEO guy, his name's Serpico. We have, um, protocol there. So protocol is our agent that identifies standard operating procedures for us so that when we create something new or develop a process once, we just say, hey, run the go to market SOP for, for this client and it's done. It's done. And within an hour. And we talked to all these guys on Discord. But what you're seeing right here is a, A visualization that they built of themselves. But, um, sorry, I forgot to say the Slingshots deal. So I said, bo, what do you want to call your team? We have to name your team something. And he's like, he, he said, we're going to brainstorm. And this is all on Telegram or Discord or Text. However, I was talking to him, which I can have do all those. Um, but he came back with the ensemble and I was like, it's cute because you're the Orchestrator. But, uh, it doesn't really, it doesn't really line up with Tactico's. Why and our why is to help the small businesses of, uh, the Davids take on the Goliath. So they went back, came back and said, well, we love the David versus Goliath analogy. So we're going to call this ourselves, the Slingshots, because we're the weapons they used. And I was like, boom. Nailed it. So what you're looking at is a virtual office where our slingshots are going to work. You know, and if we need to put a little broom closet in there to. To get some spicy, like, wow, look at Iris and. And Norman closet. Oh, uh, we will be renaming these guys, though. I want to do. I want to do 80s 90s icon. So off the bat, you know exactly who they are, because, honestly, I have a hard. I don't remember. I know what Lucy does. Because Lucy is short for Lucifer, and she's the Devil's advocate agent.

Speaker A: I know what Vince does. Oh, sorry, go ahead.

Speaker B: Uh, that's all good. So. So Lucy, literally, like, she's there to be the negative Nancy in the room. Like, that's not going to work because of this and this and this. Because if she can poke holes in it, so can our competitors, and so your can your competitors. So if we can poke holes in our own plan, it's not a good plan. So Lucy allows us to poke holes, and then we go and fill them up. So that's literally what she does.

Speaker A: And we have Vince, who is short for Convince. Uh, he's our sales guy. You know, he's helping us with Legion and. And cold outreach and stuff. I want to talk specifically about the, uh, Instagram reel. You shared a reel, uh, this morning, where there's somebody that you follow that was talking specifically about what it is that you're building, that we're building, and how important it is. And he's kind of going, hey, it's the moment. This is for real, this cao. If you're a small business, if you're a startup, this is going to be one of your first hires, and there are a lot of people out there that are trying to catch up and go, well, I need a job, or I need to learn this, or I'm going to lose my job or whatever. Um, but talk about a little bit, like, how important this knowledge is now and how accessible it is not only for other people, but also for small businesses who are looking for someone to hire, how they can hire us. And we can come in not to just toot our own horn, but this is what we're doing, and this is why we're doing it.

Speaker B: I don't know that there's a lot of people doing this. It's so new. So was that for me, a tribble?

Speaker A: It's for whoever wants.

Speaker B: So I would say, um, I was at. So I went by. I went by, um, Best. Uh, actually Costco. It was Costco yesterday because I wanted to get a MacBook Mini, which a lot of people were building these open claws on MacBook minis because they're small but they're secure. Right? So OpenClaw needs to run locally. And when I say locally, that means on a computer in your house or in your office. Because going back and forth, the security features just aren't there yet. On openclaw specifically, that's why BO runs on a computer that sits on my desk, never turns off, which is why I need to get a Mac Mini, because that's an old computer and it might explode soon. But, um. But what happened? So you're talking about the Jason Kalikinakis. And Jason Kalakinakis is one of the co founders of PayPal and he's one of these Silicon Valley bros. Right? So, um, all in podcasts is him and a bunch of like, very successful founders. And they're all over the open cloth thing because they also see the potential that's there. Right. It's very, very early. Very early. But it's improving very, very quickly. Um, and what happened on Monday? So that was. We're recording this on March 18th. This will come out next Monday. So a week from today. If you're watching this, on what, the 23rd? Look at the quick math on Nick.

Speaker C: Whoa.

Speaker B: Wow. Actually, I knew that because we have a new client, uh, starting next Monday and I've been writing the contracts for that. But, um, the 23rd is, um. Yeah, is next Monday. So this come out on the 23rd. So a week ago, who started Nvidia? He. This is where you stopped me earlier. So he said, and there's a quote, and I'm, um. I'll butcher the quote, but it said, basically, openclaw is the new way that people are going to do business. He's got nothing to do with openclaw. Right. He is not a part of it. In fact, OpenAI bought or hired. Uh, the guy that built OpenClaw.

Speaker C: Peter Steinberger.

Speaker B: That's right. So he didn't even work with, uh, um, Nvidia. But what they did, because there are security concerns and it's not scalable to have it, you know, living at your house, is they release something called Nemo Claw Nemo Claw is, he calls it like a five layer security blanket that you put over your openclaw. So it's basically enterprise grade openclaw. And this is what we're going to start providing for our clients that are enterprise, that want to have this for their, for their businesses. Right now our clients are using our openclaw. They're sending us stuff to do. We use the slingshots, R52 agent squad. Get it done quick. It's awesome. Boom. Still human in the loop, all that stuff. But what Nvidia is doing, they're giving. It's free, by the way. All this is free. Um, you just have to know how to run it. And that's where the problem comes in. You also have to buy the hardware. So the bet that Nvidia is making is because they own all of this chips, they sell all the chips that all the AI runs on. They're trying to get as many people as possible to products, right? So what they're doing is they're creating the product, but they're also generating and manufacturing the demand for the product. Crazy. So it's basically like if God or whoever invented man or created man, if God was like, you know what? I'm going to create man, but they're going to have to breathe air and I'm going to charge them for the air they have to breathe.

Speaker A: That's exactly you are. You know, you always say, especially every call we're on. You're like, you're a king of analogies and you're really, really good at it. It really paints the p. Um, if you can, in an analogy or in just regular speak, paint um, the picture for what's, what's next. Like really, I mean we can feel the energy in the rooms when we're in it together. We can feel the excitement and enthusiasm on the energy. Um, when we're talking with clients, like, I mean, we are, we are definitely, we're fired up because not only the knowledge that we're gaining, but the excitement and the enthusiasm to how we can actually help clients get to the next level in their business. Um, either one of you guys want to speak a little bit about like the visual, like, where do you see this? Where do you see this going for?

Speaker B: I can go if you want me trip.

Speaker C: No, I just, I just see how, you know, we just signed a client that I'm going to serve m as main account manager. I there nothing scares me. There's nothing that we would say no to now or in the past. We could yes. We could figure it out and maybe take a little time. Not only do we not say no to it, but Nick can attest to this sometimes on calls we can answer what would, what would. It would have taken a weekend to do. We can give it to him in five minutes before the end of the call. So that's kind of the exciting thing for me, and that's the vision that I see is like a, uh, confidence within this company and a confidence between all of us that we can go out there and really, truly make a difference and fast. And that's, that's why I think we're all so fired up.

Speaker B: So I, I'll say absolutely. And I actually did that on a call today. Uh, one of our clients was like, can you guys do this? And I was like, done.

Speaker C: We just did it.

Speaker B: Yeah, literally just did it.

Speaker A: It's in your inbox right now.

Speaker B: Yeah, legitimately did that. And it was one of the. It was one of his rocks. And rocks is if you guys. Okay, this is another. I don't care how long this goes, because this is good stuff. Dave, just FYI, um, so if you're, if you own a small business or run a small business, or work in a small business, even a medium sized business, one of the through lines that we're seeing at Tactico is that 99% of them are living in chaos, right? They live in complete chaos. Push things off like they ghost meetings and they're late on deadlines because they don't have systems in place. The way that Gusto became an Inc. 5000 company and the fastest growing brand in Atlanta was because we incorporated something called eos. It's a book by a guy named Gino Wickman, who I highly encourage. If your business is running in a chaotic way, implement eos. It's entrepreneur operating system. Makes everything smoother.

Speaker C: That.

Speaker B: Okay, so you have that. Put that aside. What. This is changing. And Eos. Someone's sending text. I hear it over there. Unbelievable. What EOS does is, um. What EOS does is it establishes rocks. So rocks are big, hairy, audacious goals, which you've probably heard that. And I hate they use the word hairy. It's just gross to me. So big goals that, um, every 90 days you need to work on. And this is like, uh, creating momentum or new things in the business, right? But it's every 90 days. How this is changing things. It's completely supplanting that. And right now, a to do is a weekly task that builds to the rock, right? Imagine the rock is to write a book. And your weekly to do is to write a chapter for the book. And your daily to do or task at that point would be to write a page in the chapter and the chapters that will build the book. What we're doing now is we're writing the book in a to do time span. So these three months, you know, we're gonna spend three months on it. You might put people that have these AI systems implanted and integrated into their businesses they're doing in a week. And I just wrote a blog, and the line I said was, uh, you're riding a bicycle, and people that use these systems are flying in a private jet above you. Seriously, I'm not bullshitting. This is no joke. That is exactly what's happening. Why? Because we're using it ourselves, and I'm seeing it and we're ironing out. There's a lot of kinks. It's such a new product, but we're scraping our knees on us, right? We're figuring these things out. And whenever the issue hits, or they're probably, BO goes offline all the time. And one of y' all text me and say, hey, Bo's offline. And I have to go. Wherever I am, I go pull up my laptop, figure it out, hammer it out. And I say, bo, why did you crash? He tells me, I say, create an SOP for if that happens again so you don't crash for the same reason ever again. So the first time we lost Bo was a 12 day, and it took me 12 days to revive them. Now we're down to like, three minutes, so hopefully.

Speaker A: Do you ever feel like you're playing Sims? Like, I mean, not only with the video that we. You showed, but like, you, like you're playing a video game. I mean, even yesterday, we were all talking about we all have assistants now. I have an assistant. Her name is Joe. She's my assistant through Manus, who talks to the Slingshot crew. You have Bo and Heidi. One's, uh, through Manus, the Manus agent. And then, you know, Tribble comes in with Betsy, and, uh, you know, we were able to create them, avatars and personalities and stuff. I mean, you got to feel like sometimes you're like, I feel like I'm playing a video game. Like, does it feel like that at all?

Speaker B: The better analogy is I feel like Ironman and Jarvis, you know, when he walks in, he's like, good morning, Jarvis. What have we got today? And that's literally when I come out, because I live in a little studio Loft work. You can see my fridge right behind me. I come out, I turn everything on, I fire everything up. I've got multiple screens. I'm like, let's get to work. And most often, because I use Telegram and imessage and all that stuff to talk to Beau and my um, AI assistant, her name is Heidi. I'm already like, as soon as I wake up, I wake up with ideas and like, oh, let's look at this or figure this out. And I sent it to them. Like if I see a reel or a TikTok that makes sense. I'm like, I wonder if this would work with Taptico. I sent it to Heidi. I'm like, hey, vet this out and see if this makes sense for Taptico to implement. She'll on a scale of one to a hundred, I've got her trained for all this stuff. Right on. One is like, don't even waste your time. Like, why'd you send me this crap, you idiot? To a hundred. Which is drop everything and do this. Now. She'll scale it, she'll grade it on that scale. And if it's, if it's an 80 or above, she implements it immediately. So she can build product specs or SOPs or um, whatever, send it to me. And then we send that to the Slingshots and they put the meat on the bones.

Speaker C: And what can't get lost in this is how smart their responses are. Like, we're not talking about, uh, that was kind of like, uh, that was kind of half baked. Like if you ask them something, they're going to over deliver. And that's the biggest, like agents. It's just another level of understanding of output.

Speaker B: That's what's amazing about it and the blog. This is one thing where I think that humans aren't, you know, some people will be screwed. But um, which is fine. Other things will come up.

Speaker A: Right?

Speaker B: Um, but in my blog I said the, the, the two missing components that AI does not have right now is taste and wisdom, right? So they don't have the wisdom. Like Beau presented something to us and I was like, well that's not gonna work because of this. Because I've been doing this for a quarter century, you know, so I've got the experience and the wisdom to know that's not a good thing. So ah. And I pointed out and he's like, oh, you're right, you know, I didn't think about that. And even Heidi, and Heidi is actually mentoring Beau because she's the smarter agent, because she was Built by manuscript and meta. Right. So the Facebook engineers built Heidi. We built Bo. I'm not as smart as the meta engineers combined. I'm just going to go ahead and take the L. Fine. What I've done is I said, heidi, you're a better agent and your program better than I programmed Bo. I want you to mentor Beau every day. And they have, and I see the conversations, and so do you guys. It's in our discord, uh, war room. Every day, she teaches him new things. So all I'm doing is injecting Bo mainlining the information and the guidelines and the guardrails and the setups and the frameworks right out of meta, AIs, engineering and program departments right into our guy. So we are siphoning their wisdom from a programming standpoint.

Speaker A: It is. It's almost. It's almost impossible to keep up with what the, um, abilities and the potential is. Like, you have a moment. You're like, oh, my gosh. I want to, like, I want to give Heidi a voice. I want to. I want to connect her now to Beau. I want to make sure she gets my emails. I want her to now send emails on my behalf. And, you know, your brain is going. And you're like, okay, there's, uh. I think that we've had to talk to the slingshots a few times because you do this, and you're kind of like, you're very, very interested in a new idea. And it's like, okay, slingshots have to bring you to get down a little bit and go, okay, let's finish this idea. Before we move to that idea, let's get to the. Because we're literally at a place right now where there is nothing that can't be done, um, in this realm. I mean, obviously right now, AI is not going to go out and cut my grass, you know? Um, but there are.

Speaker C: It could.

Speaker B: Very soon. The robots are coming. Brother Optimus.

Speaker A: Yeah. So, you know, it's just every day, it feels like, oh, I got this idea, I got this idea, and all you have to do is make it happen. And, uh, that's what's really exciting. And, you know, we're talking to a lot more clients, potential clients and all that, and the question continues to come up, and we've talked about this a moment ago when they're like, can you do this? We're like, yes. Can you do this? Yes. Like, there just doesn't feel like there's a lot that's not in our wheelhouse anymore of, like, can we execute and not only can we just execute it, but we can execute it with knowledge, um, with, with thought, with consideration and then with results. Because if you're not getting results, we know pretty quickly, um, that it's not working. And all we have to do is we just have to adjust, adjust the conversation or you know, pull another expert in.

Speaker B: And one of the cool things like this is where I like Garrison is another one of our agents. And Garrison is there to protect our business, our future, proof our business by building a moat. Right. We're creating a fortress around our business. So I won't get into the details but um, so today and triple. I'll put you on the spot. So today we Bo, uh, said hey Nick, we're waiting a lot of things from you. And I was like sorry dude, I'm busy, you know, what's the log jam? And he told me what like five or six projects or tasks that needed my. Okay, like literally just yes or no or go or whatever. Um, and I said well I've built you and I've already, I've set you up in imessage so Apple, he can send me texts directly. And I was like if anything is at the stale state or you need an urgent reply, text me. This is a Tier 3 need, which is a. Ah, yes, go. Hold. And so Tribble, do you remember what the um, SOP is?

Speaker C: He messaged me back. Fair point. I'll stay quiet unless you need me. Oh, uh, but having Nick's call, but having you there as a non technical guy who gets it could add a good perspective up to him.

Speaker B: So basically, uh, uh, I have to approve any sort of change in the uh. Exactly. There's bo. I have to approve any change in his architecture because I built him. These guys don't really know all the ins and outs. So if like for instance, Dave said cc me on this email. And it was, it broke the sequence on like we're doing a test email but it. The agent accidentally cc'd the client instead of Dave and it was just a draft email. I was like no, don't do that. So I put a guardrail, right? And I said only I can do this because I know uh, how everything's wired. These guys don't. I don't expect them to. They didn't spend three weeks building this crap. I mean, I'm sorry, this treasure.

Speaker C: Whoa. Treasure.

Speaker B: Come on.

Speaker A: If Heidi heard you call her crap, she would not be happy I didn't build her.

Speaker B: So that's. Yeah, Bo will tell you he'll be the first to tell you that my favorite agent is Heidi. He knows that, um, but that this is us going through the motions. And, like, with. With what Trip was just talking about, the guardrail is if. If I'm a holdup, he can now text me, hey, Nick, this is becoming a logjam. I need your go ahead on this. And all I have to do is say yes, no, or hold, or I'll get back to you today. And that's a new thing, Right? So every time that we build one of these SOPs, we're learning it on behalf of our current clients and our future clients so they don't have to learn them. And that's the wisdom in what we're doing. Ah.

Speaker A: All three of us need to think back for a second. Back when we were doing our jobs previously, whatever job that was when I was running my business or when I was working in radio or you were running Gusto or Tribble. You were a, uh, reality TV show. I don't know. Is that all you did? Anyway, uh, but if we had those tools now or then, really having this perspective and going, okay in that job, wow, I would have been 10 times better at what I did than I. Than what I was, you know, productive.

Speaker B: You're still good. You just don't have the time to produce.

Speaker A: Yeah. And you think about it, too, because you. I mean, we talk with clients all the time who are like, I'm too busy. I don't answer emails. I don't have time. I don't have time. I can't do it. There's too many things I'm thinking at once. Now imagine, you know, we set up the slingshot crew for somebody, and, you know, uh, the head guy gets the text, hey, logjam, here. Just sit. Yes or no. And he's like, wow, that was easy. And nobody else had to wait for him. And now that got that job got done, and now they're moving on to the next one. So, I mean, there are. There are so many ways to utilize this. These tools. And I mean, we. Every time we move, people are going

Speaker B: to move from saying, I'm too busy to I'm too productive. Yeah, I've produced too much. And that's. I'm not bullshitting. Like, that is, uh. That's what I'm saying. I'm like, we have to figure out. Because we have so many things flying because we're just creating so much, right? And we have to, like, okay, we got to stay focused on the thing is the thing, and what's the thing, but us going through. And again, that's like, you know, the wisdom, right?

Speaker C: We're.

Speaker B: We're learning. We're scrap scraping our knees, and we're falling on our face sometimes, and Bo crashes out, and we're learning that so that you don't have to. And that's why our tagline is, we learned AI so you don't have to.

Speaker A: And on that, and on that, the tagline, we learn AI so you don't have to. You can, uh, you can learn more about us and how we utilize these systems and then how we can implement these systems for you@, uh, taptico.com. uh, that evolution in itself. Our website is so much fun to be a part of. Um, doing a lot of. Thank you. It's a group effort doing the podcasts here, and obviously, you can hit us up on socials. You can listen to this podcast almost anywhere where you can get podcasts, but, you know, call us. I mean, Tribble had a conversation with a friend of his who's like, we're trying to figure out AI, and she's like, can we just hire you guys as a consultant? You know, like, help us just kind of figure out our systems? You know, we. We are probably more advanced than most of the people that, you know, if you're listening to this and not already in the AI world. So, you know, it doesn't hurt to drop us an email, uh, on our website and see if it's something that we can help you with. So, um, absolutely. Guys, I'm learning every single day. Uh, my brain is getting. Thank you.

Speaker C: Thank you.

Speaker A: Appreciate it, y'. All, and we'll catch you next time. Dave Learns AI. Hope you enjoyed the episode.

Speaker B: I love you all.

Speaker A: This is Dave Learns AI, a tactical solutions podcast. I'm Dave Clapper. Diving into the real world ways of AI is changing business, creativity and how we work. No fluff, no jargon, just practical insights and experiments you can learn from right alongside me. Uh-huh.

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