Unlocking Business Success with Deep AI Research | Taptico

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. I feel like we should have some kind of, like, intro music bed. Not just the Dave Learns AI, but kind of like a maybe. Um, Nick, remember when we had, uh, the Clap and Tap show? We always use Dave Brubeck's, um, Take five was the open maybe in post. I'll just put that up.

Speaker B: And then we had our own theme song sung by the one and only Gareth Asher. It's the Clap Show. How, uh, you doing, folks out there?

Speaker A: You know, it's funny how we think that we were famous at one point, and yet we've got Tribble Reese who's over here, who actually famous. I mean, you know, we opened a show for Larry the Cable Guy. Tribble Reese was, like, on television with, like, hordes of women chasing him.

Speaker B: M. Please pick me, Tribble. Please pick me.

Speaker A: Triple.

Speaker C: You guys are actually had talent and get on stage and make people laugh. Mine was just like an early stage of Love island, where it's just a bunch of weird people in a house getting drunk. Like, this isn't talent, you guys. You guys were nationally syndicated, so I wouldn't say national.

Speaker B: I mean, the Internet's national, so, yeah, I guess so.

Speaker A: Um, yeah, speaking of talent, um, it's been interesting here figuring out exactly everybody's role for Taptico. You know, we're here with Dave Learns AI and, you know, the idea is I'm learning a bunch of these new tools. But, I mean, both Tribble and Nick have serious talent. Nick, you're going like 10x what the average person. Person knows, uh, in the AI world. And tribble, you keep finding new tools for creative, uh, output. And, you know, the, the talents that you're getting now with, you know, with your clients and figuring out how to utilize the tools that Nick's finding and spreading along to us. Um, you know, I think it's really important that we continue to show people the evolution of AI in a real, like, layman's terms, you know, like from. From the basic ChatGPT, which still is the topic of conversation in 90% of my conversations is, oh, yeah, I use ChatGPT. You know, I use ChatGPT. I mean, we were on a call with a client the other day. He's like, I chat GPT everything. I mean, that's awesome. It goes to show you where it's going and how helpful it is. But the difference between just asking a question, um, like a search bar in Google and getting an answer or, or giving uh, some options for answers to bigger things. And I think that's what we want to cover a little bit today, uh, which I don't believe everybody is quite aware of the possibilities that are out there. And today going to focus a little bit on deep research. And um, Nick, because you're kind of our, I want to say you are the expert in the room. Um, can you talk a little bit about Key Maker?

Speaker C: He's the architect.

Speaker B: He really is.

Speaker A: And that makes you cool by the way.

Speaker C: Don't tell him that.

Speaker B: What about my um, Costco shacket? I love it. Early spring days. That it, you wake up and it's 50 degrees and then by noon it's 70 degrees, um, downhill. Ah, we got some layers. We got more layers than a seven layer burrito. Okay, so um, so everyone knows about Google. Um, you put a, you put a search term into Google, I'm going to Google it. Google comes back with the SERP page. And SERP is nerd for search engine result page. So a SERP page is redundant. It's like the Department of redundancy department. Um, but the serps, you know, they always say on the SEO side, um, the best place to hide a body is on the second page of the serp.

Speaker A: Because nobody gets there.

Speaker B: Yeah, yeah, because no one ever goes through. They just click on the first one or two. Um, so what Google does is they go find all the, all the um, websites and articles and blogs that, that you search. Say it's um, trouble needs a lawnmower, um, to get rid of all that poison. Yeah. So he's like good lawnmowers. And based on the SEO of the company, the lawnmower company, it shows up in that order. Like if their page is the best ranked on the um, SEO side, it shows up first. And the one on top pay to be there. So that's scm, Search Engine Marketing. So you can just pay to be in the top spot or you can organically get up there with SEO. So that's Google in a nutshell, what deep research is. It is walking into a McKinsey level floor of research analyst and saying, hey, I need a lawnmower, um, for my yard in Georgia, um, I have fescue grass. All of these 20 different research analysts go instantly, sometimes quicker than Google and do a wide deep research. Deep research, not just for the SEO, it's into articles, it's into social sentiment. They search Reddit to see because there's subreddits, uh, on literally everything. So best Lawnmowers is probably a subreddit. We could look that up. Um, you know, so, and there's probably a thread on Reddit that talks about the, uh, best lawnmowers for this year because I need a new one, um, because it's spring and my grass is starting to grow. And there's probably a thread where people go back and forth and are arguing what the best lawnmower is. Deep research finds that, um, so almost instantaneously deep research comes back by. It aggregates everything that it just found and comes back with a fully baked research report that could be pages long that will give you literally everything you need to know, um, based on your need. So, Tribble, what kind of grass do you have? Um, how big is your yard? Do you want a riding lawnmower or, or push, uh, along, whatever they're called. Do you want electric or do you want gas? What kind of what, how often are you going to cut your grass? Um, do you need some fertilizer too? Yada, yada, yada. And then it literally is like a consultant that will hand you this. Um, okay, this is the lawnmower I need and it has all of the sources linked out. So if you want to dig further on any specific part, you click on the, it's, uh, annotated there. You click on the links where it found that and then you can go through like the 10 different sources that talked about it one by one and read more if you need to. But, um, for those, it's a, y' all remember CliffsNotes for books back in the day. It's like a CliffsNotes version of all the deep dive deep research they did. And it hands it back to you. This is the lawnmower you need. Would you like to know how to buy it?

Speaker A: When you, uh, when you use the deep research tools, which I imagine all the LLMs have them, right? So like Claude Chatgpt, Banis, like you,

Speaker C: you need plexi for sure.

Speaker B: Perplexity is the first. Right?

Speaker C: They were known for that, right?

Speaker B: Yeah, Dallas, Perplexity's, um, kind of angle into the market was the deep research. So they were the anti, anti Google or the Google Times ten. Um, but yes, I think all these big companies are going to start just borrowing the concepts from each other and, and integrating them.

Speaker A: So if Perplexity was kind of known, but the ll, because there, you know, when I was talking about 90% of the people I'm talking to are go, oh, yeah, I use Chat GPT on a daily basis. So, I mean, not everybody's into perplexity. So when we talk to the average person who's like, uh, you know, just on ChatGPT, that is an option, though you can actually choose on the drop down a deep research dive, right? And have you ever compared the two? Like ask the same question outside of deep research, and then went into deep research to see is it actually any different? And is it more, is it, is it more helpful? Have you ever tried it?

Speaker C: So I've, I've done that because I did a little deep dive on perplexity. What Nick is talking about at the this point can't get lost is I really think us as humans, we don't know what we don't know. And so our, uh, initial prompt, we leave out so much. So that first response that deep research brings back to you is so much that you haven't thought of that really, like, allows it to really give you what you want. So like, that first response, it's basically bringing back to the table, okay, give me this. I didn't see this. What about this? And then when you give it all that, it prompts you to, okay, think about things maybe you haven't thought of. And then you put back in that, and that's when it can really know, you know, what you're looking for. And Nick, I, I, uh, want to know. You said almost instantaneously, but are you seeing it take, take more time, or you think, for me, I'm willing to wait a little bit longer, not so instantaneous, because I know that the response is going to be such a better response than a typical instant response.

Speaker B: That's actually a good question because, uh, chatgpt, because that's where most people live, it's now there. And if you use 5.4 Pro, which is the newest model right now, as of March, whatever day is, um, 2026, um, they chatgpt's, uh, deep. Deep thinking is what it's called. And it takes a long time. And so good call out on that triple, because I did it last night. I couldn't think of a word and I was like, oh, what's the word that I'm looking for? And I just pulled up by ChatGPT and I said, what's the word that's like a KPI, it's like an RFP, but it's a bigger word. I can't think of it. And I had it on, I had it on Google or, uh, I'm sorry, ChatGPT Pro Deepthink. And I sat here for, uh, 10 minutes waiting for it. I'm like, jesus. And I just X out. I was like, whatever, uh, going into the deeps, whatever the words, annotating. And I'm like, I'm just looking for a word, bro. Like, we don't need, we don't need to search the Library of Congress for this. Hey, what are we doing here, Nick?

Speaker A: What's the most impressive thing you've seen Deep Research do for, like, small business? Give me. Can you give me a specific story, um, that you've utilized it for? Maybe it's, you know, in, in, um, doing research on a potential client or helping a friend out. Like, can you give me an example?

Speaker B: So, uh, absolutely. So one of our clients is Lazy Boy down in Columbus. Shout out, lzb Columbus. Um, yeah, what's up? So I put together a competitive, uh, analysis for them using Deep Research. Um, I can't remember which tool it was. I, I go back and forth because of. I literally have them all open on and run in, in tandem with them. Um, so most of they're pretty much the same. It's like Porsche versus a Ferrari, you know, um, in a Lambo. Right. They're all very good. So you're not gonna. There's not a, like a major distinction between any of them, I would say, you know, I would recommend using one, using it a lot, and then you'll get the concepts because they're all pretty much the same. But I digress. So for La Z Boy Columbus, uh, and for small businesses, you can run a deep research on your competitors. You could say, hey, I'm just wondering, you know, I'm Tribble's lawn mowing shop, repair shop. Um, I'm wondering how many lawnmower repair shops are in my region within 20 miles? Because no one's going to drive more than 20 miles to get their lawnmower fixed. Um, what are their names? Uh, what's their website? See how much social, um, sentiment they have. You know, all of these sorts of things. And what's going to happen with Deep Research? And this is what Tribble is talking about is he would start with the first prompt. I own Tribble's lawn mowing repair company. Terrible name, by the way. We need to workshop that.

Speaker C: Yeah, we got to work on that.

Speaker B: Um, I'm wondering, um, who my competitors are in my area. Right? That's all he puts in the Deep research perplexity. Um, ChatGPT, all these different guys anthropic and Claude actually overtook. ChatGPT is the most used AI tool, by the way. Wow.

Speaker C: Wow.

Speaker B: Yeah, I know that that was because of the Pentagon situation. So people, um, will screw you. So, um, so, um, the Perplexity Deep Research will say, well, here are the competitors. Would you like to see, you know, their average cost margin? Yes. Yeah, whatever. Would you like to see what models they have? Yes. Would you like to see what they're. And then all of a sudden, because it literally kind of breadcrumbs you and guides you. It's like a stranger when you're a kid laying down candies to get you into his van, Right. And then once you get in the van, it's that big deep research project. And then all of a sudden you have a complete competitor analysis.

Speaker A: Well, I was gonna, uh, you know, I was gonna say. Let's just say I'm a small business owner, or at least I have an idea to open a new business. And that's kind of what we're talking about with Triple's lawn Care service. So let's just say, you know, my wife makes salads and she puts them in a, in a, in a jar and she's thinking about actually mass producing these salads in a jar and having a, um, a stand at the local farmer's market. Um, is that like something that you feel like would be a good use case of going deep research, like, okay, number one, you know what, can you break down the potential costs per jar? The potential, um, value, you know, on the market, on the retail value? Can you, um, can you see if there's any competitors out there? Can you like, ask all these questions that. Can that really help you develop and provide a business plan for something like that With Deep Research?

Speaker B: Triple, you, Mary, you or me?

Speaker C: I. Absolutely. I think that we've talked a lot about agents on this because we are deep in it. We, we know that those agents really take what LLMs. They give you what to do. Agents take that and they actually do it. Deep Research kind of fits somewhere in the middle where the time that it takes to put this stuff together is still stuff that you should do or think about. But it's, it's, it's a much, much more ingrained in your situation. It does go levels deeper to give you ideas of what you should do. So for something like that, yeah, I mean, if you're starting off doing business, we've all been in business together, we've all started businesses. There are so many things you don't know until you get in it. And 10 years ago people would have to figure this stuff out, uh, on the run and, and make mistakes. But because of things like deep research, we are so far ahead when we're even starting day one because of all the stuff that, that we've been given,

Speaker A: how, how accurate, I mean, uh, there's a fear, I would think that okay, I'm gonna start a business, I'm gonna do a deep research dive and now I'm going to make this my bible and go, all right, I'm gonna go to market with this strategy because deeper research that I should. Like how trustable? Like, like what about hallucinations and stuff in some of the research where you know, it can give you potential information of like, oh, there's nobody in the market, but yet there is, you know, like how much would you uh, advise, um, you know, a small business owner who's thinking about doing something like this, of utilizing this stuff as like this is scripture. This is real, like believe what you read.

Speaker B: Uh, I would say, I mean obviously the more fine tuned like the model is that you're using. Like we use a project that I built. It's called abe and it's a ibe, which is AI Business expert. And that is a project knowledge base of um, it's massive. It's a library of books, white papers on um, business best practices. It's literal like biographies of Steve Jobs and Elon Musk and Jack Welch and all the, all the titans of industry. Um, and it's got a lot of curriculum, there's a lot of online curriculum that is built into this and this is the knowledge base that it pulls from. So it is highly, highly, highly trained on business specific stuff. A deep research thing is not that you can in perplexity and all of these tools create a project where you can train your project to be hyper focused on a very specific kind of um, talent, I guess. So like starting a business, right? The hallucinations. Ah. I think that anyone's a small business owner is an expert in their own field. So they can read through things and they have the filter of expertise and wisdom. And I keep saying that that AI lacks wisdom and taste. Right? Um, um, so the wisdom is the human of the loop that we talk about so much. Tribble is a lawnmower expert. Your wife is an expert at making salads and jars. It's very niche. But hey, rum, we're, we're here for probably not a lot of competitors, but for someone like that, they would be able to know like that's that's not how much tomatoes cost. This is so they can kind of filter through all that stuff. But if they really, really want something where it's, here's your business plan, here's how you're going to execute it, I would recommend they use a more specialized project, um, that's trained for that exact scenario.

Speaker C: Yeah, and I would say to that too, Nick, the one difference between Deep Research is they are always providing sources. Like they annotate every point that they give is a source. So not, uh, not every single source ever is going to be a hundred percent correct. But damn it, they are. They're putting something there to say, hey, check my work.

Speaker B: Yep. And it's, um, it's way more than we've ever had ever before. So starting a business right now, I would highly recommend it. Um, I could go on about this for hours and you guys have heard me do it. But, um, but right now, the agility that we have with AI, we being small business owners is never in the course of human history been the case. Um, we can move fast, break things, fix them before these corporate juggernauts get out of their, um, mandatory daily standup meetings. Right. So that's what's awesome. But I would say, like, for this example, uh, Deep Research is really a really good starting point. And I would focus your energies into one of the platforms and then when you get to the place where you know how to use it, those skills will transfer over to the other, to the other platforms.

Speaker A: So I ask a lot of these questions, you know, in the sense of entertainment. You know, ultimately we've got a show here that's trying to talk to people that don't have experience doing a lot of this stuff. Um, and maybe some people who are a little more advanced. Um, but me personally, I actually did a project the other day, so I am still involved with the company that I started back in 2016 called scamper. Uh, it was Scamper Van and then it has since become Scamper rv. So I was talking to the now owner of the business and talking about rental, uh, platforms. So, um, the vehicles that we have that are part of the rental program are available on a third party site, kind of like Airbnb. You know, there's two of them. There's one called RV Share, there's actually three. There's another one called rz, um, Rzezy, um, outdoorsy, whatever. So we were having a discussion and we're like, okay, you know, what's. How, how are the platforms competing against one Another, what are the price differences? What's the breakdown of additional costs? You know, are we putting all of our inventory on the right place? And give me a comparison of, of the two platforms, the different breakdown of the differences on each platform and where we're losing money, and then your average cost, um, or average daily, um, rate per. So I was able to do that. I used Manus. That tends to be where I go, um, but Manus. And I had an agent in Manus, and I'm like, hey, here's what I need. You know, I need a breakdown on all this stuff. So ultimately did exactly that, did that deep research, gave me a report back saying, here's the differences. Doesn't give me, like, suggestions necessarily, because I didn't ask it to. I just asked it for the comparison sake and then allow us to make the decisions based on that. But I found it super helpful and super productive. I mean, it was a great way for me to spend a couple of minutes because that's really all it took. I mean, if you think about it, you know, business five years ago or 10 years ago, and you're trying to research a project like this, I mean, you set somebody in who's maybe a, um, low junior executive or whatever, and says, okay, here's the plan. I need you to go in, die, do a deep dive into all these things. You come back with a report for me, and that person goes, spends the next two, three days maybe on it going, okay, I got to put it all together and then put it in a presentation and then send it to the boss and go, here's what I come up with. And being able to then do that now, do it now in a matter of 15 minutes as opposed to two or three days with a junior executive. It is truly a real explanation of the difference of how businesses are being run now or can continue to be run, um, in regards to the ability to make decisions quicker, um, have more, um, real sound, um, backup information at your fingertips to allow you to, to better your business. So super, super helpful, I, I think. And, um, you know, again, we're, we're, we're trying to teach the average person, hey, these tools are out there.

Speaker C: You know what I think about too, Dave, though? Like, these things are becoming so easy. And yes, we are on the front lines because we're in it every day. But I heard a guy yesterday who got laid off that I, it blew my mind that he was using Claude Cowork to help him. Basically like a deep research on helping him find the next opportunity and how, the way he was using it, and now he's spending 150amonth. I was like, what? Like this guy, like, it blew my mind. How long, like, what is. How long before everybody figures out how easy this is? And then where's the competitive advantage? Like, where is this going? Is everybody going to be experts in business? Like, what's going to be the separator for five, five years from now? Five months from now?

Speaker A: So, uh, you know, a conversation that came up the other day about the functionality of AI and the ability to, to give opportunities to anybody. The difference is, number one, do you have an idea? And number two, do you have the drive to make that idea a reality? Because all the tools that you need from, um, conception to execution to delivery are all there. And I, and I think of Nick M specifically and I have another friend named Jake, always had ideas. Always like, oh my God, I got this great idea. And if maybe one of those ideas seven years ago that flew through Nick's head had he had the ability to do all the research in advance to figure out how to go to market a marketing campaign, uh, the ability to create marketing, um, um, product, you know, all that stuff. Hattie had that on the. What was the ice cube? Uh, the in case of emergency, um, ice cube. Like, you know, or the, or the alcohol, uh, the alcohol flavored or the alcohol induced ice cream or whatever. Like, yeah, ice cream bar.

Speaker B: That was someone else's idea that I marketed. So.

Speaker A: Yeah, but, but still, like, I mean, if you think about so, so the great thing about it is, yes, everybody has the tools, but you have to have the other part of it. You have to have the idea and then you have to have the drive. Because just because it's easy to throw something into an LLM and get a business plan, that doesn't make it, that doesn't make it happen. It just allows for those who are creative and driven to now be able to make their idea come to fruition a whole lot easier.

Speaker B: Well, I'll, I'll say on the deep research side, the y' all know me, I talk in bumper sticker. The difference between a dream and a success is execution. So you can do as much deep research if you as you want. You can get everything handed to you. This is what you need to do. This is what you need to do. 99% of the world. That's where it stops. Oh, I'll do this later. I don't. Once, um, you learn how to use the tools and the agents and things that actually execute that becomes, um, a motivational tool, right? So, like, if you're on a diet and you. You're losing a pound every day because you stopped drinking coke or whatever, or you're doing whole 30.

Speaker C: Zero.

Speaker B: Exactly. But you're losing a pound a day because you took this thing out of your diet, you're not gonna. You're not gonna put the thing back in your diet until you hit your target weight, right? The thing with AI and the execution side, and this is where agents come in, because they are the execution layer, if you have the knowledge and wherewithal to use them as they're supposed to be used, of that. Starting to bridge that gap, we have. We're working on an entire AI orchestration layer that covers 60. Now, 60 different verticals within business, where you say, hey, I want to build a fruit. I'm sorry, a lawnmower, uh, company. I want to sell salads in a jar. You drop it in here, they execute for you and come back with the finished product and say, here you go, it's done. And then the physical side, obviously, you have to go to the groceries, but we could probably wire it up to where you, uh, write to instacart the ingredients list. Instacart shopper brings it to your door. There you go. Your salads. And the mason jars are at the door, ready for you to put everything together. And so that's the final piece.

Speaker A: I mean, I even think about, like, when I started Scamper, um, you know, I had Google to help me out, but, like, all right, apply for a business license. Okay. Um, set up my. My taxes through, you know, this website to make sure I pay my taxes every month. Like, you know, I was able to ask Google to kind of help clunkily, you know. Clunk. That's not a word. But the, you know, in a clunky way kind of get to where I needed to go. Um, but now, I mean, it is a simple, hey, I need to apply for a business license. And you talk to Deep Research or even probably chatgpt, and it says, hit this link, hit this, this, do this, do this, and then, boom, you're done. Like, it's just so much more.

Speaker B: Okay, here are the steps.

Speaker A: Now follow them.

Speaker B: Yeah, well, now there's a thing called computer use. Um, and chat, uh, should be OpenAI. Was the first to put it out, and it was billed as Operator. And this is how fast things are going. That was, I don't know, six months ago when Operator came out. And what operator does is it takes over your Computer screen and clicks all the things for you. It's too slow for me. Like I don't, I don't use that often. And that was $200 on top of like the chat GPT. So you had to pay $200 just for that feature. Now they all have it for free. That's how fast these things are moving. And um, so you download. I, you know, Dave loves Comet, which is a web browser that has agenda capabilities. I use that one. I also use ChatGPT's Atlas web browser. And they, the web browser is like, it's like a copilot. Like we're working in GitHub and, and I'm trying to figure out like where do I find this, this toggle that I need to switch on so that Dave has access to this repo. And I'm like, I'm tired. I worked till like three last night so I'm puffy eyed. And then um, so I'm like, I don't feel like looking for it. Hey, find the button that I need for this and it takes over your. Yeah, I'm doing, I'm doing that.

Speaker A: This, I'm doing that today. Setting up a GitHub, uh, through Manus to try and, try and get access.

Speaker B: But that's, that's one of the things. It's like, this is how far it's advancing because a few months ago that was a $200 add on for ChatGPT and everyone's like that's too expensive. And I agree it is too expensive. But now we're talking a month.

Speaker C: Yeah, $200 a month.

Speaker B: Yeah. And now we're talking about like Tribble's friend that's, that's paying $150 a month for to find a job. How much do you, how much do recruiters cost? Right. It's like put it in the terms of labor. And how much would you pay a human to be your personal like headhunter or job hunter for you? Probably more than $150 a month and it probably would go a lot slower and you would be much more not hands on with it.

Speaker A: So yeah, it's pretty awesome. All right guys, we'll wrap this up. Uh, always great to talk to you. Obviously we are tactico solutions and uh, to be launched very soon, Taptico AI, um, which will be a whole nother enterprise that uh, is just gonna blow your mind when this thing is ready to rock. Lots of great things happening behind the scenes. Uh, obviously you can reach out to taptico.com you can hit us up on our socials. Um, you got Tribble Reese on LinkedIn, Nick Tapp, Dave Clapper. Uh, you can find us wherever you want to look. You could just put us in a deep research, um, thing, and, uh, I bet you'll find out some.

Speaker B: Oh, please, everyone that's still listening, please do deep research on Tribble Reese. No, uh, when you find the picture and you'll know which one. There's a lot of them. No, uh, he's a Put it on social media and tag hashtag Tribble Hunt

Speaker C: and we will have nothing to hide. So crazy.

Speaker B: And then tag us at. At the Handle is at Taptico hq, and we will find. We're going to share all of them and. And we're gonna get a hundred dollars to the best picture found. All right, there we go. Done.

Speaker C: All right.

Speaker A: All right. Bye, guys.

Speaker C: Thanks. Sorry for the nipples.

Speaker B: See you. Sorry for my leg.

Speaker A: This is Dave Learns AI, a tactical 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.