Dave Learns AI - Update on Business, AI Tools and Elon Musk. Season 3 Episode

Speaker A: This is Dave Learns AI, um, 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. And here we are.

Speaker B: Arrack.

Speaker A: We're back. I guess we can call this season three. It's Dave Learns AI. And for, um, people who are just tuning in, first two seasons were all about learning AI, and now I know it, so I know it all.

Speaker B: So we're changing the name of the series to Dave Is a Master of AI. AI Master Dave Clapper is actually what it's going to be called. And we're going to do a whole rollout with a campaign. Dave's going to be dressed as a kung fu master. So he's going to have the whole GI on and all that stuff with the black belts. Um, except the black belt's going to be. Have tactical branding on it.

Speaker A: There you go.

Speaker B: Hey, let me know.

Speaker A: Well, it has. It has been a while since we've done an episode, and one of the main reasons is we went through a transition. Uh, we lost our compadre, Tribble. Uh, uh, we lost him.

Speaker B: He's no longer with us.

Speaker A: He's no longer with us. He didn't die. Well, kind of.

Speaker B: Oh, yeah, I should verify. Yeah, he's moved on to bigger and better things, and we love him very much.

Speaker A: We miss him. And he's going to be missed on these calls, very much so. But Tribble, uh, had, uh, a baby, and we knew it was coming. It was not a surprise.

Speaker B: That would be weird, wouldn't it?

Speaker A: Oh, my God.

Speaker B: What did you have for dinner?

Speaker A: No, we were aware and, um, you know, just as things were transitioning, because, listen, we launched this business together a year ago, and Tribble came on from the early stages, and when you launch a business, I, uh, it really takes a lot. I mean, it takes a lot of faith. It takes a lot of, you know, struggle, hard work, late nights and, you know. He got married. Well, well, he got there.

Speaker B: He got. No, no, the laundry. Unbelievable. I'm just saying he got married.

Speaker A: Shut up. Got married and had a kid, man. It was like, oh, this is going to be. It's going to be hard to do the stuff that we're doing, and we're in it for sure. And we miss him. And, uh, so this is Dave Learns AI with just Nick and Dave, which. This is not our first rodeo. I mean, we had the Clap and tap show at one point, so sure did.

Speaker B: We're on the airwaves. We opened up for Larry the Cable Guy at a sold out Fox theater.

Speaker A: Yep, it was quite a show.

Speaker B: It was quite the show. Dave's enjoying a beverage. What's in the cup, Dave?

Speaker A: Uh, it is cold brew coffee. Um, Stoke is my brand of choice. Maybe they can, uh, throw me a couple of bottles, you know, because we got lots of viewers on this thing.

Speaker B: But yeah, viewers, Stoke Coffee at Stoke Coffee. Go try out Stoked coffee for all your cold beverage needs.

Speaker A: Stoke Coffee cold brew. Um, so much to talk about. I mean, we talk with people all the time about how fast things are changing in the AI world. When we launched this business and when we launched this podcast about, you know, about a year ago, I mean, we were talk talking pretty rudimentary things of like, what we were learning because we were learning the basics. And one of the biggest transitions that we made just before we kind of ended season two was really getting, getting into the agentic world, uh, you know, really developing our agents to help us with our workflow and stuff like that. And I mean, Nick seriously was in that room right there that he's in and didn't come out for breath for like three weeks straight learning all of. And um, it was quite an experience to watch and then for him to learn as well. And uh, so, I mean, big, big steps forward in just our ability and the things that we're learning, um, and then trying to share with other people, which, I mean, that's been kind of the most fun about all of this, don't you think?

Speaker B: Um, well, for me, I just, I'm kind of a tech nerd and I love all this stuff. Still, learning and building with these tools is pretty awesome. The hardest part, you know, just being honest, is we are not experts in our clients, businesses. So the hardest part is the context. So figuring out the context of the business so that we can integrate these tools and systems into them, that's really the biggest bottleneck, uh, right now. But once we knock that door down and we figure it out, it's gangbusters, you know. So, um, yeah, but it's, it's a lot of fun. So we're working with clients that we enjoy the industry, like luxury real estate. So one of our clients is a luxury real estate agent in Atlanta in the southeast. So yeah, we're helping them sell beautiful mega mansions. Not a bad day at work, you know?

Speaker A: No, not a bad day at all. And we get to meet great people too. Uh, you know, the, one of the things I'M most proud about is we picked up our first two clients relatively quickly and you know, they didn't really know what we could do and we didn't really know what we could do. But we're a year later with still the two first clients and we didn't sign a year contract. We're, you know, ultimately the way that we're doing this is, hey, give us three months, you know, let us, let us get into the, your systems and learn them and let us, you know, find a cadence that works well for you and, you know, make sure that we can actually develop something that's going to help your business. Well, it's obvious in having those two clients a year later still using us, and for no other reason other than the fact that they see the actual, um, the worth in the things that we're developing them, uh, for them.

Speaker B: I think the word you look for is value, Dave.

Speaker A: Yeah, that's a good one.

Speaker B: Yes.

Speaker A: Yeah, yeah, yeah. No, the value for sure. And you, uh, know, with those clients. And then here we are again a year later, and now we've got five clients and six clients come in. You know, like now it's like, all right, well, how busy do we want to be? Because it really is still just you and I and then our agents, um, which is great because you can delegate a lot of work through this AI world. But we're still really much really, uh, in the place where we're hand holding, um, yet, you know, in some of the things that we're doing. So we're still very much hands on.

Speaker B: You know what, Dave,

Speaker A: you show me.

Speaker B: I might show you.

Speaker A: Show me.

Speaker B: This would be fun to reveal to this in real time and get your, get your, um.

Speaker A: Show me, don't tell me.

Speaker B: Exactly. Yeah.

Speaker A: So Nick's been working on something that's going to change our work life balance, I think.

Speaker B: Yes. So let's go ahead. I want to, I want to pull it up here. All right, so before I share my screen, this is a tool that I'm currently building for Dave and I. And the purpose of the tool is to basically bring streamline and operations and executions to meetings. Right. I hate meetings. I think meetings are the biggest waste of time. 99% of the time people just want to be. Feel like, uh, they're important, especially in corporate environments. So they sit there and they talk, even if they have nothing to say or they're not listening. And it's just a place to be where you have to go sit every, every week. Right. On the client services side we obviously are reporting back. We've worked on, we get questions answered, we, we present things and propose things and ideas and all that stuff. Um, but then once we agree with the strategy and what we're going to do and execute, then we have to go do it. So what I'm building right now is a tool that I call loop flow. Loop flow, did you come up with that yourself? I actually did. It just came out, honestly. Um, because it's like, ah, it's a loop. So you're gonna start hearing less prompts, engineering now and loops. Agent Loops is going to be the next iteration on agents. And what that means is they just are continuously running in loops. Look kids, Big Ben, the parliament. Look kids, Big Ben, the parliament. And sorry, that's a shout out to European, um, vacation. But um, but what our agents are going to do, they're going to keep continuously 247 check for tasks that got delegated to them. So we have a meeting with a client, we have two AI recording recording tools. Those merge because sometimes one tool misses the recording, doesn't record the right thing, attributes it to the wrong speaker. So we have the other tool. Um, we use two different tools and then they parse and compare notes and then we get a, uh, more higher quality output on the M meeting transcripts. Okay, now what I'm building through loop flow is those transcripts pull out to dos, those go to bo. All the tasks we need to get done, Those go to BO. BO then delegates those to one of our 75 specialized agents to execute in real time. This is as soon as we hang up in the meeting, the transcripts roll out and then the agents get delegated their tasks

Speaker A: and Bo's delegating them.

Speaker B: Right. Bo's our orchestration agent. So he knows exactly what slingshots we call them slingshots are best at what? Right. So we have one named Murphy that's a PR agent. And these aren't just willy nilly thrown together, right? We have our guardrails and our product PRDs, product requirement docs for each agent. They're 40 plus pages long, so it's not like we're throwing these things together. So they're very, very, very well trained. So back to loop flow. So we have our meeting, BO gets the task and the to dos and all that stuff sends them and delegates them to the appropriate agent. Those agents execute on the deliverables, send them back to BO for a quality analysis. BO sends them, um, so they take it back to bo. How is this? Beau says no, not good. Enough yet. Keep going. When they finally come back to Bo and Bo says, this is good, he then sends them to Lucy, who's our QA agent.

Speaker A: Okay.

Speaker B: And Lucy is short for Lucifer, Devil's advocate.

Speaker A: Gotcha.

Speaker B: So she pins it, like, knocks it down again and strips it apart. And then they rebuild it. Rebuild whatever the task is. So this is quality control. Right, Right. And then finally they go through all this stuff, and pretty much instantaneously, all this happens. Because the tools are that good now. Yeah. And then they come back to us. We have a world. I'll show you now. But we also have a Slack channel where it's an approvals workflow, where the whoever, which, whichever human is the account lead on the account, approves, denies, edits, whatever the end result that the agent has brought back to us. So Dave will go in, read if it's a, uh, marketing materials or whatever, he'll say, this looks good, but change that logo to a dark logo. They'll do it and bring it back to us. So just to put a. Just to put a wrapper on this, we talk about the work in our meetings with our clients. The agents do the work. We're the quality control, the final quality control loop. And then we have editorial power, and then we approve when they are up to our standards, which are very high. And so at any given time, we have dozens and dozens and dozens of tasks going on, both internally for our business, tactical, and externally for each of our clients. So we needed a place to capture all that stuff. So I present to you Workload Tactical os.

Speaker A: Os. Tactico os. And this is all built through.

Speaker B: This is all built through. Claude. So this is using, um, Anthropic. Yes, this is using Fable 5, which is their newest model that came out. Um, Dave showed me a website for a proposal that he put together, and I loved it so much I stole the design. We can switch this back and forth between light and dark. Light's easier on the eyes and better to read. But this is just gorgeous.

Speaker A: It looks good. Yeah.

Speaker B: Right. So I've been working. This is just the website. This website took me 10 minutes to build all the back end stuff of what took so long. So Dave will know this. This is our big picture. Okay, so obviously this has not been. This has not been, um, populated yet. But, Dave, this is a shout out to the beat. Big picture back in the day.

Speaker A: I love it. Yeah. Heck, yeah.

Speaker B: This is literally, um. I had an. Dave and I, when we first worked together back at Cox Media 20 years ago, we had an Excel Spreadsheet that showed all of our events, all of our promotions, everything on one Excel spreadsheet that was an internal eternal scroll like this. So I basically stole that. And, and we're going to use uh, that for us. But this is good for visual, right? So we can look at the dates up here. What do we have next week we can see. So when we start using the loop flow, all of this will get populated retroactively with the stuff we have working on. And also um, will get populated in real time after meetings. This is pipeline, which none of this has been populated yet, but this is our pipeline, which is our sales agent. And we are on the final stages of creating agentic sales agents. So we're gonna have sales agents that are 247 looking for our ICPs, um, doing legion, um, scanning for buying signals in the market. Say a company is, is hiring uh, a marketing director. We can say how about us? And offer us up, right? So, and then we can send customized and personalized email outreach to those folks, uh, when those things come out and we have an agent doing that 24 7. And this will be populated with uh, the leads from that products. This is something that I'll be working on which is the tactical AI products. A lot of the stuff that we are building um, could be resold like so these are tools that we're using internally and then we can actually put these on the market, um, from tactical AI at a subscription based model.

Speaker A: So that's always been something for those who are just kind of tuning in. So you know, we started this thing as a, you know, marketing slash AI agency. You know, there's a lot of uh, um, fractional work out there right now. There are a lot of people and big businesses that aren't hiring a full on marketing director because I mean, let's be honest, you know, $200,000 for a marketing director, paying their uh, insurance and their taxes and all that stuff can be tough. And when people are trying to cut things down. Okay, let's hire a fractional guy. So, you know, being the fact that Nick and I don't really want to be back in that corporate world in that position, sitting in that seat for one company, you know, doing fractional work was really something that we were interested in. You know, and because of the, the movement of the AI world and all that stuff, we're like, okay, well people are going to need CIOs, so let's do that on a fractional basis too. Because making that commitment to a full time personality or person or um, you know, employee is a big commitment for somebody too, who doesn't understand, uh, what are we even doing? You know, let's go spend $150,000 on us, you know, on a, on a chief AI officer. But we don't even know what to tell them what to do yet. So that's kind of where we were thinking is like, okay, we're going to be fractional CMOs, fractional CAIO. And we are doing that. And you know, for every client that we have, we are, we are doing their marketing, we are doing their AI infrastructure build, we're helping with operations because of the AI tools. I mean, we're really going in on this, you know, um, this C suite level and taking on a lot of responsibility. But Nick, in the process is like, hold on a second. What I'm building for our company is something that a lot of other companies would want to be able to use on their own. And, you know, if we can show them how it works and the benefits of it, uh, it's a, you know, it's, for us, it's like build it once and then, you know, multiply it, um, across a bunch of different businesses.

Speaker B: Yep. So we actually have something called Onboard prime that will be a 30 to 45 minute process that takes all new clients through an onboarding, um, admin kind of, um, kind of, um, I guess funnel. And then at the end they'll have their own branded version of this if they sign up for tactica os.

Speaker A: Um, so we'll, you know, to dumb it down for, uh, for somebody who may not be as advanced in some of the things that we're talking about. So if you work with ChatGPT, uh, and that is your primary AI tool, after a while, obviously ChatGPT gets to understand who you are. They know a lot about your family, they know about your tastes. And you know, you're building, you're building, building a brain of somebody that understands you. Well, uh, that's really important when we're developing AI tools for business is like, we have to make sure that the AI tools understand the business. And you know, that takes time. But with this Onboard prime that we have, this is our best way to shoot straight up to the top with as m much information as we can get. It's kind of like doing an interview is what you say. Um, and we're interviewing the people that matter and in some circuit therapy session.

Speaker B: Same like a therapy.

Speaker A: Yeah, yeah, because we're trying to find out, you know, some of the things that drive them crazy about their Jobs. Um, so in some circumstances too where you're going to have three or four different people that you're going to work within an, uh, organization, you do onboard prime for all three or four. And it all feeds to that central brain that helps us build this tool to then help us execute their work. Right.

Speaker B: Part of the deal that you can't see is called memory API that we've created. So basically building a very smart brain that is personally trained on our business and then that cascades down to our clients business where we have memories for each of them. So any interaction we've ever had with any of our clients goes into a knowledge base that trains our agents on specifically our clients, their industry, their competitors, et cetera. So we build through all of this. Every time we interact with a client, our agents get better because they've become smarter and have more context. So all it does is. And every time, like, um, Fable 5 came out from Anthropic this week, our tools all got exponentially better. So anytime a new tool comes out, say ChatGPT6 comes out tomorrow, and it's phenomenal and blows Anthropic out of the water. We're agnostic, so we just switch over all this stuff over to Anthropic. Because we built our layer using a tool called OpenClaw to build and now we have it on our own stack. We own everything and we don't charge ourselves. Right. The only cost that we have are API cost, which we'll get into and maybe in a future episode about.

Speaker A: That's an important thing to talk about too. You know, every time we talk to a client now, we talk about bring your own, uh, bring your own keys and byok. And the reason being is what we didn't understand even when we first started, it was like. And a lot of people are like, Well, I pay 20 bucks a month. You know, my AI does everything I need it to do. But when you start building businesses around it that need to actually feed off different sources, there's a cost in that communication between one tool to another tool. So, and again, like you said, we can talk more about it later. But most people don't realize, like when you start to set up systems, like there's a real expense there, you know, ah, in the beginning, you know, people are like, how is AI going to be profitable if they're going to give it away for free or it's 20 bucks a month. Well, that was all part of the process. Okay, let's get people really excited about this, get them hooked on the processes and the efficiencies. And now. Now, now let's start.

Speaker B: Start.

Speaker A: Start charging them.

Speaker B: Exactly. So this. That's what we're doing.

Speaker A: What's going on over there? You texting somebody? What's happening?

Speaker B: SpaceX just. Just, uh.

Speaker A: Oh, uh, Just. Just went public.

Speaker B: Yep. Just went. I got it for $151.

Speaker A: Nice.

Speaker B: Yeah. So this is actually historic. This is get. This is Elon Musk officially just became the first trillionaire in human history. On today. We're recording this Friday, June 12, 1157.

Speaker A: And he is now the richest man in the world.

Speaker B: He's the first trillionaire ever.

Speaker A: Wow.

Speaker B: Yeah. Was that a million billion or is that a hundred thousand? I don't even know what a trillion is.

Speaker A: Trillions more than I can count.

Speaker B: Yeah. All right, so that just happened. So that's why I was a little bit distracted. Um, so good. I got. I got some. Some shares of SpaceX.

Speaker A: That's awesome. And don't let your friends talk you out of it like your buddy did when you were going to put some money.

Speaker B: I won't. Unbelievable. Don't buy Facebook ipo. Don't buy Netflix IPO twice. I got burnt. Unbelievable. Follow your hearts, kids. Follow your hearts. Anyway, all right, so back to this, Dave. I haven't gotten to the. More the most exciting one. Okay, so I also rebuilt L10. Okay, so. All right. Maybe a little bit more reaction.

Speaker A: Well, I don't know what I'm looking at yet. I don't know what I'm looking at yet.

Speaker B: This is the L10 level 10 meetings. Okay, so this is EOS. The EOS, um. My 90 software to pay 50 bucks a month for. Yeah, I rebuilt it and now it's free.

Speaker A: Wow.

Speaker B: And now we sit here and we can start. We're going to run our meetings through this.

Speaker A: Okay, so this is our. This is our note taker who, like. What do you got wired in?

Speaker B: So this is our agenda for all of our meetings internally.

Speaker A: Okay,

Speaker B: so this place is a sauna.

Speaker A: So what's happening when you hit start? What is that? Is just a time for our.

Speaker B: Just a time of. Okay, yeah. Because each. In an L10 meeting, Dave knows this. But, uh, in case those listening don't know, L10 is based on EOS, which is entrepreneurial operating system. And it's, um. When I was at Gusto, it's something that we literally thrived on because it gets everyone rowing in the same direction. Everyone knows. What's the most important thing this week? What's the most important thing this month? What's the most important thing? This quarter and then all of the rocks and all that stuff support the higher goals of the business. So this is a, uh, timer because it's very strict on the time of the meeting. So you have to be very succinct. This prevents you from BSing your way through a meeting, which Dave and I have done with some of our clients. We will be in a meeting for an hour and a half and get three minutes of work done.

Speaker A: Yeah.

Speaker B: So this keeps you disciplined in meetings. So you go down the scorecard. Right. And uh, this shows you how many meeting, how many minutes were budgeted for each section. Here probably you can read a little bit better.

Speaker A: Yeah.

Speaker B: And we go down through the rocks. Obviously we haven't done all this stuff yet. The headlines, all that stuff. So this is something that I built, um, for us to use internally. But it also is, this is going to end up being our catch all for everything that we're working on internally for Taptico. So when our agents on the loop flow start getting their things done, this is where the board comes in. So we see all the things that the agents are working on here. You can click in and get details. You can see which agents are working on them. So we can actually assign agents. These are our, these actually aren't even listed correctly. So I still have to work on some.

Speaker A: Yeah, you're still working, you're still building it from the back end. But oh my gosh, you know, talk about, I mean, because let's be honest, you know, we went from two clients to six clients like in a minute. And it's like, oh my gosh, we got a lot of work to do.

Speaker B: Um, um, so deliverability is one thing that as a new business you have to say we need to sell because we need to keep the funnel full in case someone drops off. But we also need to deliver on what we, what we promised over deliver even. And this will help us.

Speaker A: Yeah. And how can we help other people create efficiencies if we're not efficient ourselves? So I mean, uh, that's. That, that's the key. Well, that's beautiful, man. I look forward to, uh, to using it and seeing how it works for, you know, our current workflow, which it looks like it's going to be super helpful.

Speaker B: It's, it's already live. So we, um, maybe we have a test meeting, um, with someone because it's working. So I've got to tie, you know, tighten up some loose ends. And we're going to keep adding to it, you know, just like we do with our clients. Right. Like lazy boys portal. The more they use it, the more they understand what it can do. So that's what we're going to focus on and do that internally. But yeah. So pretty fired up about that.

Speaker A: Well, probably since the last time we talked, I think openclaw, um, you know, came out, there were a couple of um, couple of updates now. I mean the updates are almost daily. Um, but it's interesting to see so many people that are figuring out what OpenClaw means and then how to utilize OpenClaw and that open source and then utilize the LLMs and the other various tools to create these agents that can work specifically for you. One of the things that I'm really impressed about what you did isn't created was you were talking about the um, the real uh, estate agent. You know, we got a high end real estate agent who is looking to, you know, be on the front end of technology. But also, you know, it's important that he continues to be somebody that, you know, the people who are selling million dollar houses are thinking about when it's either listing or you know, are going out.

Speaker B: $5 million houses.

Speaker A: $5 million houses. Um, but one of the first things that you did is you created an agent that's specific to his business. That agent's name is cb. He lives in a Slack channel and it's just like our B.O. and I think it's pretty cool that everybody in his, in his world now talks to cb. CB is like an assistant for all of them that work on uh, his brand and everybody can utilize them for the jobs that they're trying to get done. It's almost like having your own private chat that's only educated on your business and everything that has to do with your business.

Speaker B: ChatGPT is uh, not agent. Yeah. You know, so ChatGPT just gives you answers. What CB does is work. So CB said, uh, you say hey, we need marketing materials for 115 Wellington Avenue. And 10 minutes later you've got all the marketing materials you need because it's

Speaker A: trained on everything, everything that you already do. And that's, it's still, you know, we still think about it all the time. You know, it's like what goes in is what comes out. If you're not putting the right information in, you're not going to get the best information out. And that's where the building of that comes from. And that's why it's so important and doing things like onboard, uh, onboard prime and Stuff like that really allows us to get in there, get the nuts and bolts of the business, build the agent, make sure that agent is an expert on what they're doing and then go, hey, you, you, you now have somebody who's going to do a bunch of work for you.

Speaker B: For instance, SpaceX IPO. Yeah, they had, they had a website that um, they put out for the iPodOS. It's called a roadshow. So it kind of like explains everything for, for investors. I saw the IPO this morning when I was like watching the, watching all the news coverage on SpaceX IPO and I looked at the website and I said, holy crap, this is an awesome website. I just love the, the aesthetic. I took the URL, I went to our system and I said, can you emulate the layout of this website for Taptico using our branding? It said, sure. How's this? And it built this.

Speaker A: See it?

Speaker B: So this is from Taptico AI. So the tools that we're building. Yeah, this is literally, this was built because we've trained it on our branding.

Speaker A: Right.

Speaker B: This was built in five minutes, um, using our tool. This is a website that used to take. See, there's a little bit of mess ups, right? So this is literally. But a one shot. You'll hear this is like one shot means one prompt. And it did this. So this is literally version one, the memory API. Something we just talked about. Loop flow. We just went over all the comms, all that stuff. The mission control is what we just looked at the OS loop flow. This is the marketing material on loop flow. Obviously no pictures in here, but aesthetically absolutely gorgeous. Yeah. And this was done literally in 10 minutes, um, for the cost of maybe $5 to us because we've put in all the work to train all these tools how to do all this stuff.

Speaker A: Simple and clean and gets uh, right to the point. So, yeah, I love it.

Speaker B: And this is literally just a V1, so, but just tops. Just gorgeous to me.

Speaker A: Yeah, that's awesome. And you know, we've been talking a lot about all the news just because, I mean there are a lot of, a lot of things happening in this world of AI. I'm in the middle of something right now here, um, in my neighborhood is they're trying to build a data center, um, like within a mile of my house, which for anybody has done any research on that. There are a lot of pros and cons in it. But I think more than anything what happened was there was a change in um, rezoning, um, that the community was not aware of. So it was kind of like a backdoor meeting that got approved. And so, you know, a lot of people in the, in, you know, in the area are like, well, wait a minute, like this wasn't even something that we had an opportunity to, to, to discuss and changing, uh, you know, what was a rural area, um, which was then redi or rezoned into being a commercial, um, commercial area, whatever. So there's this big fight over that. So I mean you're seeing that across the country. I mean obviously there's data centers, they're needed in a certain level. But I mean if you think about what your IPO and what you just invested in, I mean what, what Elon's doing with everything that he's doing in SpaceX is he wants to put all this stuff up in outer space where we're not messing up, we're not messing up our ecosystem on Earth necessarily for the, for the data that the data centers that will be needed as this continues to advance.

Speaker B: So politics aside, Elon wanted, he started Tesla so that we could help the environment. He's still that guy, right? I don't care what the news wants to tell you. He still wants to protect the environment. So he's using SpaceX to take data centers and put them into space so that we're not obviously like data centers have been victim or not victimized, but weaponized, um, by the media for. I think the media is scared of AI, um, for the most part. So they're going to do more of the accusatory, gotcha, um, kind of things with anything AI because they're stealing your jobs and they're gonna take everything and you're in trouble and the water. But a lot of that is blown out of proportion. Um, they do have a toll. I mean, how often does the community vote on other commercial zoning. Yeah, answers never. Right? They could come in and put up a gas station, you know, right across the street from you if they want to.

Speaker A: I think all industrial though, like the community has to be involved in that because you're talking about taking big plots of land and putting industrial, you know, stuff on it. So I think the community does have to be involved in stuff like that. I mean a gas station, I don't

Speaker B: think they have been though, is what I'm saying. Like warehouses. How often does the community vote, um, on a warehouse being approved for build, you know, like even roads, like the government's gonna do what the government's gonna do. But all that to say yes, it's still like we're still learning about the. I think the electricity is the biggest component, but part of the infrastructure build is they have to bring their own power. So um, they're supposed to be building their own power plants locally for the data cent. Anyway, the long term vision, and this is why Anthropic is actually investing in SpaceX by the tune of billions and billions of dollars is because they're buying their compute from SpaceX because it's not tenable to have these data centers on Earth. They go up in space, they're super cheap to run because they don't pull on electricity. They're using solar power. Phenomenal. Um, right. So that's why SpaceX is going to be much more than just rockets. It's going to be this Xai, which is the, um, which is Elon's AI company. They're going to be, they're going to have the novelty on space data centers.

Speaker A: Yeah. Because they can. And if anybody else wants to put any data centers up, they got to

Speaker B: hire, they got to hire a lot of business moat. Right. Yeah. So that's why I put some money

Speaker A: into, you know, somebody's going to complain at some point like, oh, it's a monopoly. He's the only one doing it.

Speaker B: It's like, absolutely, go ahead and do it, Go ahead and invest.

Speaker A: Go ahead and do it.

Speaker B: Uh, start your own rocket company.

Speaker A: Go ahead, start your own rocket company. Didn't Jeff Bezos start it? He's got his own rocket company.

Speaker B: He's got his own space tourist company.

Speaker A: Oh, ah, it's a little bit different.

Speaker B: The kind that sends Katy Perry up to low Earth orbit and they float around for 20 minutes and they come back. Okay, um, SpaceX is going to Mars.

Speaker A: People with money, people with money. It's crazy.

Speaker B: People that got money too. Their brains brought them there to be in the position to do all this stuff. So that's true. And now our brains can do it too because AI is as smart as Elon and it's about to be smarter.

Speaker A: Well, it's pretty amazing. A lot of really great things happening for us as a company. Taptico. Uh, a lot of great things in the world.

Speaker B: I didn't tell you this, Dave.

Speaker A: Yes, tell me.

Speaker B: I just got a, uh, VC reached out asking if they could invest.

Speaker A: Really? Someone, you know, or random.

Speaker B: Random really.

Speaker A: So, so now somebody, you know, venture capitalist money is coming our way too.

Speaker B: So maybe, um, maybe. We'll see. That's apparently going to be like a land grab. Anyone doing what we're doing is A big time VC play. Yeah, but we're so far away from Silicon Valley and all those VCs. I think it's going to be slow to get to us. But the more we put these things out, the better.

Speaker A: Yeah, I mean ultimately, and you know, our big end goal isn't necessarily that, you know, our, the, the reason why we're doing this is we didn't want to, we didn't want to be in corporate world, we didn't want to work for the man. Uh, we wanted to do something that we enjoyed doing and learning something new and exciting and being able to utilize our brains, um, for the good, you know, the good. I'm not going to say the good of the world, but uh, you know, the good of my whole why small business.

Speaker B: My whole why is to help small businesses outmaneuver the Goliaths. That's why. The Slingshot. Called the Slingshots. So the weapon that David used against the Giants. So that's really where we're going for. And like the system I showed you guys earlier is really like having a complete staff of 75, Elon Musk trained in their own vertical, um, capable agents at your disposal any given time. If I were to say so, we're not going to, we're not going against marketing budgets anymore and this is running long, so I'll make, make this quick, but we're going against labor. Right. So if we say, hey, we'll give you access to 75 well trained agents that work 247 are always on and smarter than you'll ever be. Um, for $10,000 a month, the $120,000 a year and that replaces one person or it, it's a force multiplier for all of their people and their, on their team. It's a no brainer. So what we're offering up is the ability to have a full staff of 75 plus agents that work for you, do the work for you, you lead them, um, you control the output, you coach them and guide them and they do all the work. And you're getting that for the cost of one employee. Yeah. Which is insane. And they're better than. They don't argue, there's no politics. They don't get sick. Sometimes they get sick. And that's why we stay around to.

Speaker A: Yeah, we definitely. Well and uh, we had an interesting conversation with one of our clients yesterday and we were talking about, you know. Oh, the question is, well, AI is going to replace your job. No, somebody who knows how to use AI is going to replace your job because ultimately, ultimately it doesn't necessarily at this point replace people, but it does help, um, efficiencies. And if I'm a hiring manager and I can hire somebody who's got some great marketing experience, but I can also hire for the same amount of money somebody who has great marketing experience and knows how to use the tools to create efficiencies to be, uh, you know, even more successful at what they do. And then, you know, everyone around them then, hello, that's the person I'm going to hire. So, you know, it's great because you have a niece that's got an internship right now that's really leading the charge, uh, for some of the stuff we're doing with a client. And I mean, the, the education that she's getting through, it's going to be very helpful for her when she gets out of college.

Speaker B: I had a call with her this morning and I was showing her. I was like, look, you're going to be a 1%er when you're done. She got certified from Anthropic already. You know, the amount of people that have done that is probably in the tens of thousands for the entire world. And it's a free course. But just actually taking the time to sit down and go through the coursework is the one thing, like the execution of that kind of stuff is what separates the permanent underclass to the successful. Just because people aren't willing to sit down at a computer for a few hours and learn how to do it and retain this. Imagine being able to sit down and go through a course that teaches you how to play guitar and you will retain that skill for the rest of your life. Would you not pick a day to sit down and become Jimi Hendrix good on a guitar?

Speaker A: Yes, I would.

Speaker B: That's. That's where we're at right now.

Speaker A: Yeah, it's awesome.

Speaker B: So, yeah, and obviously you, you get better the more you use it. But part of the value that we're bringing, or as Dave said, the, um. What did you say the words? We've already figured out all this stuff, so you don't have to. So we built all the tools and we would teach you to, to use the tools and. And then you rock and roll. So, yeah, not to be too sales on this stuff.

Speaker A: No, no, we don't want, we don't want to be salesy. But we definitely want to let people know that we've, you know, we've. We've got some knowledge. We're way more advanced than most people that they know. And if they have questions, they want

Speaker B: to talk more than just one of my friends said, oh, so you just really get a prompting. Yeah, I fell out, uh, of my chair backwards because I rolled my eyes so much. But they just don't know, right? They just don't.

Speaker A: Yeah, yeah. I mean, they're, I mean, it's still like there are a lot of people out there that just don't. They don't understand the power of it yet. So, um, that's what we can do. So obviously you can hit us up@taptico.com. we do have the M M. Um, and the website will probably get a redo here real soon because we've got all these new agents who could do even better things. So, uh, you know, don't get too used to it. If you're, you know, spending a lot of time on our website, you know, I bet that's what you're doing.

Speaker B: We also can build it to our website, uh, knows who's coming to it and can actually regenerate itself based on the profile of the person visiting.

Speaker A: Say that again.

Speaker B: The website can, can mold basically based on the person that's coming to the website.

Speaker A: No way. No way. Knowing what kind of stuff that they like or what, you know, impacts them or whatever. That's pretty crazy.

Speaker B: Where they came from.

Speaker A: Yeah.

Speaker B: Like if it's the links attributed to, um, Mac World.

Speaker A: Yeah.

Speaker B: They know they're techie, so they make them more techy. If they're coming from, um, from a email, uh, address that has a construction company in the title. They. It could be tailored to a construction. So that's the kind of stuff where in the past you build a website, you have that website. The same website with minor updates for a decade. Yeah, no, it can change in near real time now. And it's just going to get better and better. So that's the kind of stuff that AI can provide.

Speaker A: Well, we're back in action with, uh, Dave Learns AI. Dave, uh, is still learning, obviously. Nick just taught me a bunch today. And, um, you know, give us a call if you have some questions and then, uh, tune in to our next episode because I'm sure we'll have more things to share with you, teach you or to, uh, to talk about. So, Nick, it's good talking to you, man.

Speaker B: Love you, brother.

Speaker A: See you later. 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.