Learn How to Use AI in Marketing (ft. Joe Stolte)

This is a transcript of a podcast interview (Art of Passive Income) between host Mark J. Podolsky and guest Joe Stolte (serial entrepreneur and CEO of Daily AI). Joe describes his entrepreneurial background and four core mental models (make it work small → go big; short-term pessimism/long-term optimism; speed of execution; move money from others’ bank accounts), explains why he built Daily AI to automate curated email newsletters for SMBs, and outlines the product’s technical approach (machine learning-driven curation + human verification), strong open-rate performance (reported typical 40–60% open rates), onboarding process (45-minute call + team setup), risks (speed/competition, need to align with customer pace), and practical tips for adopting AI (use ChatGPT/Bard; bring domain expertise).
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Hey, it's Mark Podolski, the land geek with the favorite digi real estate website, thelandgeek.com and on this week's Art of Passive Income podcast, I'm going to put on my anchorman voice. He's a big deal. Joe Stolte is a former Inc. 500 entrepreneur and not three time, not four time, five time technology founder with successful exits including lottery.com which went public for 526 million and Grow Flow, which sold for 62 and a half million. Today, Joe is CEO of Daily AI. And I know all you AI geeks right now, like all of a sudden your ears just perked up. Yeah, that's right. CEO of an AI company that helps brands and thought leaders publish AI automated email newsletters that produce 40 to 60% open rates. I'll say that again. 40 to 60% open rates in less than five minutes a week, all without writing a single piece of content. Daily AI produces AI newsletters for thought leaders such as Peter Diamandis, Joe Polish, Dan Sullivan, JJ Virgin, Cameron Herald, Chris Voss, and other brands I know you've heard of in 20 different industries. Today, Joe is going to tell you about how his business uses AI to get incredible results in marketing along with several powerful mental models and you can use to effectively embrace AI as a business owner or investor. Joe Stolti, welcome.
I was also. You can also add world's longest bio to my list of accolades because, you know, I'm really going for that look.
I don't think it's, you know, I've had longer.
Oh, all right.
You know, when, when you're impressive like that, it's a great bio and. But I'd love to just rewind the tape with the technology, building companies, selling companies. Like, how do you see the world of business and technology? Like, what drives you? Because to be a founder is really hard. To do it five times is really hard. And now you're on your sixth.
Yeah, I think a good place to drop in is to understand my personality just so we can frame the rest of the conversation. I'm incredibly competitive with myself. I'm not very competitive with other people, but I'm very competitive with myself. And so if I do very poorly at something, I want to master it. And so, you know, the very. I left corporate America and raised money and started my first technology company and it imploded and I lost a lot of people's money and, you know, I figured out what I was good at and what I wasn't good at. And like, mostly it was a lot of things I wasn't good at. I thought like, oh, this big business stuff I learned at like Microsoft would translate to a startup and theoretically it does, but man, when the rubber meets the road, it does not. But I was, you know, I was hooked because like I was like, look, if I fail badly at something, I really want to figure it out. And so I think that was where I resigned to just be a serial entrepreneur. Like, I see business like a game, it's like a three dimensional chessboard and I love it. And that, you know, some days are more stimulating or stressful than others, but I really enjoy it, you know, at this point. And for me it's about how do we take an idea, galvanize it with capital, talent and a compelling vision and then just go and run and make it happen. And I just happened to fall into this groove where I'm pretty good at taking ideas, scaling them and then selling them. It's never like, hey, we're going to build this and sell it. It's just we end up building it and then along the way the sale opportunity comes and I just, I really enjoyed that part of the business. You know, it's fun, it's always something new every day, a new challenge every day. And it's not very stagnant. And you know, at this stage of my life, I'm still really enjoying it. So that's the backstory.
That's amazing. That's amazing. So, so Joe, you know you, I know you, you've worked with entrepreneurs, you're an entrepreneur. Just given your, your vast knowledge, knowing what you know now, and you were talking to someone that wanted to do, let's say a startup in, oh, I don't know, a land investing business for passive income, what would be your best advice to them?
Yeah, there's two pieces of advice. They're related, but these are mental models that have helped me as an entrepreneur and I use them all the time, you know, axiomatically for our business, but also pragmatically like on a, on a day to day basis. And the first one is make it work small and then go big. Like what can you prototype to de risk it? And you know, for us that was like, how do we package the idea and sell it before we even build it to see if there's a market for it. Because you know, why build something if there's no market there? And then if you know there's a market there, then you gotta ask yourself, what's the next assumption in my business that I Need to validate and kind of think more like a scientist than a capitalist for five seconds and go cool. Maybe it's the message market fit. Or maybe it's like the first prototype and then to see if it actually works and it can get the results that you promised people and that kind of thing. But just make it work small. Like chunk it down really, really small. Like to one assumption, build a prototype, put it in front of real humans and see if they'll react to it and then adjust your behavior and the faster you can do those things and prototype and go faster, like fail forward a little bit. I don't like to call it failing. It's like, you know, was, was when we created the light bulb, we did 10,000 experience. Was that failure or was that just moving forward to the next best iteration? I don't know. It's probably the way you frame it. But for me it's like the first principle is make it work small and then go big. And this is a, this next one I think is helpful is whether you're an investor or you're trying to start a new business. And I learned this from Evan Pagan, who's now my business partner, but for many years was kind of like a digital mentor to me. And he said you got to have short term pessimism and long term optimism, meaning in the short term just most things don't work. If you run an ad, it's not going to have a 51% conversion rate. It's going to have the majority of people that see the ad are going to ignore it. It's just not going to be a slam dunk on the first shot. So use data and assume that it's not going to work and you need to get to version 5. But at the same time keep that long term optimism because some days are, some days are worse than others. It's difficult, it's very challenging and seems like nothing's working and like a lot of things are falling apart at the same time. Where you're stressed out because you're spinning too many plates or thinking about too many things and you're more work than there are people to go around kind of a deal. Just have that long term optimism. And as long as you hold that and you keep your feet moving in the direction of where you want to go, as long as you don't quit, it's inevitable that you'll get where you're going as long as you can live long enough. So those two principles are different but related to, you know, the short Term pessimism, long term optimism, and make it work small and then go big. If all you took from this discussion was that, like, you'd have very good raw material to be an excellent entrepreneur.
Yeah, I love that. And it's so true. I mean, there's so much wisdom in what you said. And I remember, and I'm not great at it all the time. Like, I. I'm a quick start on, like, Colby, and so I have all these ideas and my team's like, whoa, slow down. Let's just do a small test. You're probably wrong. I'm like, oh, no, they want this. This is like, no, they probably want less than that. Like, I want to give, give, give. And it's like, no, you're overwhelming. And so. But you know, to your point, like, even when I started GeekPay IO, which is like our set and forget it loan management software, I didn't build it. I just had the idea and I just started pre selling it to see, hey, would you put any money down if this thing actually came to be? And I gave like an irresistible offer and they're like, yeah. And so I took that money, like, okay, I've got money now for a developer, and then hired the developer and did it. And so it mitigated the risk. But when you think of like restaurants, like, unless you're going to do like a ghost kitchen, it's really like, that's why most restaurants fail. They think, oh, my food's the best, my location's great, I have staff. And like, people come, they're like, no, not for me.
Yeah, I think another thing that it's like a yes. And the other third principle, I think that's really important, especially in the early days, because in your example, it's like, hey, I collected cash upfront and then I paid a developer. Well, if you followed my first few principles but didn't know this third one, you could still pretty risky. You could like, the developer could quit, you run out of money, you'd have to pay your money yourself. The next one is that in the early days, like, speed of execution trumps almost everything. Like, you just got to go make stuff, put it in front of people and iterate, and then do that more times faster under the same budget. And if you can do that with more iterations than the next person in the marketplace, then the chances of your success go up pretty, pretty greatly. So, yeah, that speed of execution is super important. And I guess the last thing now.
Why do you say that? Because, Joe, like, some people like I could imagine someone listening to this like, well, what if my iteration, you know, it, it fails? Especially in software and they want to be a perfectionist and they don't want to to iterate because they want to test QA and, and all that.
Yeah, I think there's lots of ways to success. Just some of them have more risk. So if you want the least risk then my recommendation is like prototype it. Don't write a single line of code and go, go get a tool like Figma and just have a designer like make it all where you can actually click on the mouse and it goes to the next page and you can type in. It kind of feels like a, it's like a no code prototype. You can have people build these like on upwork and they're pretty easy to put together and they don't have to be pretty and if the customer wants to pay you and then you have them use it and then they use it like, oh, this is incredible. We're like one step closer to what you need to build because if you don't do that step and then you start writing code front end, back end, the cost to make a change goes up. The amount of time required to make a change is longer. So we want to just iterate at like make it go small and then go big. Like we don't need to go right to writing code. If you really want to de risk it, take another crack on a no code prototype and you can do the equivalent of this in a service based business as well. But the point's the same, it's just lots of little iterations and then when we're super sure, then go have them go do the things equivalent to writing code or if you have a physical product and before you go tool up the manufacturing line and go find a vendor in China to start making stuff for you, maybe take some preliminary steps before that. So that's what I mean. Speed of execution and just most things don't matter and most of the things you're going to try aren't going to work. So just go faster, iterate. It's not an excuse to, to like not think though, to not be creative. There's a difference. That's this combination of good creative thinking and good execution. The other thing I was going to say that I love as a principal is my friend Jesse Elder likes to ask the question, you know, hey, where does money come from? You know, people say, oh, it comes from creating value or it comes from paper or whatever. And then ultimately he gets to the point that money comes from other people's bank accounts.
Right.
If you want to be in business, you need to know how to get money out of other people's bank accounts and into yours. That's where the rubber meets the road. And so we can get hung up on logos and doing business cards and T shirts and mugs and websites and social media handles. It's cool. And at some point you have to confront the reality that money comes from other people's bank accounts. And the sooner you start moving in that direction, the better. Which is why I love that you charge before you build. So I think those four principles, those are a good four squares to think about as you build.
That's fantastic. Okay, so now you wake up one day and you think, well, there's a lot to do in AI. It's a huge, huge industry. It's a huge thing. Right? And you see like startup after startup right now in AI, why, of all things, automated newsletters.
Yeah, I love that question. The last company that we sold was a SaaS company in the cannabis industry. So we didn't touch the plant. We built software that did compliance and helped the states track where the plants were, et cetera. And in that industry, we couldn't buy ads. It was a regulated market. You can't buy ads for anything that has anything related to cannabis. You just can't. And even social media, they sort of nerf your posts to the point where they're basically, unless people are looking for you, they're not going to find it. So the way we took that company from 900k in annual recurring revenue to 8 million in less than three years during the pandemic, and we did that through direct mail and email. Now I realized that, like email such, it's a beautiful tool. I give these talks all over the country and I say, hey, raise your hand if your business uses email. And 100% of the hands go up. And I say, keep your hand in the air if Your business uses TikTok and about 90% of the hands go down. And I realize I'm sort of picking TikTok a little bit, but it's like everybody uses email. It's the killer app. It still has more daily active users than any single social media platform on the planet. So love it or hate it, it's still how businesses communicate with themselves, with their marketplace. And so what I realized from our last company, Grow Flow, is that email is this huge white space of innovation. Everyone wants to build the next great thing, but email is still this great opportunity to innovate and so we kind of made this joke and we said, we called it Project Mega Make Email Great again. You know, it was like a tongue.
Yeah, yeah, yeah.
So I said, well, what would that look like? And so I, when we were selling the last company, you know, that process takes months and I kind of knew it was going to take months. So I started asking around to friends, hey, hey. Who's working on interesting stuff. And I'm kind of excited about email. There's a pretty small pool of people doing that. But I got introduced to Eben Pagan and my other business partner, Dr. Peter Diamandez, and they had had some thoughts around using machine learning to basically curate news to be able to predict the future. Peter runs this thing called PhD ventures and he funds a lot of ideas that come out of it. So I met with them and we originally had talked about me coming on to help them turn it into a real business. So I came on as a co founder, eventually joined as CEO, but I had a bit of a different vision for the company given my experience from Grow Flow. And I said, hey, wouldn't it be great if we could help small business owners? Which means your brand or your company has less than a hundred employees. That's the vast majority of businesses in English speaking world, right? What if we could really just help people with email? Because here's the facts. 80% of SMBs, people with less than 100 employees use email as their primary acquisition and retention channel. But they spend multiple weeks. Over 50% of them spend one to three weeks writing a single marketing email. Not days, not hours, weeks. A third of that time is spent on what do I put in the email, what do I even put in here? So that was a huge problem. And then we saw this massive Cambrian explosion of AI tools hit the market. We were early, we're like 2021 when we started developing this. And I said, wouldn't it be cool if we could use machine learning to go ahead and help people with that problem? Yeah. So we built, we built a very cool piece of technology that uses machine learning to go out and curate the world's most interesting information, put it into a newsletter, summarize all that content in your voice, put your ads for stuff that you're selling and your own content in there and send it to your customers every day, every week, every month, whatever cadence you want. And the AI does 99% of the heavy lifting. And then we stick a human in the middle just to verify it. Why? Because we look at AI as like a really, really really good intern, but we don't ship intern work to the marketplace. So, you know, AI human is sort of the best outcome. So long winded answer. But that's why email, you know, that's, that's, that's why we're doing this is, it's like this, this email space and for us folks have less than 100 employees. We're neglected. There's so many, there's so much more money we could be making with so much less effort. And we think that we're going to be the ones to do that or help people.
Yeah. Okay. So, so we're in a mastermind together, Genius network owned by Joe Polish and he uses this technology and I get the emails once a week from, from Joe. I know he didn't write a word of it and yet I can't help but wonder how's he figuring out this is all the same content and all the same links and all the information like I like speaks to me. It's like everything that I'm interested in. How is it doing that?
Yeah, that's a really good question. We use something called adaptive learning. Basically every time someone opens the email or clicks on it, we're looking at an individual level and at a group level. Like what are they opening, when are they opening it, what stuff are they clicking on, what content categories are interesting, what specifically in the content is interesting to them. And the newsletter is smart, so it gets smarter and smarter and smarter the more the audience engages with it. So it's not just for Mark. I read the newsletter too. I read Joe's newsletter and it just learns from what we're all clicking on and it makes really complicated trade off decisions because it'd be easy if it was just Mark. We'll just give you what Mark wants. But we need to make a newsletter that threads the needle of what Mark and Joe and thousands and thousands of other people are clicking on in that newsletter. And that's why it gets better. That's why it feels like it knows you and it knows what you like because it's learning from how you interact with it. Not just you, but all of us. So it's a. We don't, we, in some ways we, we don't call our, we don't call these newsletters internally. We call them interest letters because they're pulled from the interest of the audience. Right. As much as they are pushed down from the publisher. That's a totally different way of thinking about email. It's like how do we build for what the audience wants? Instead of guessing, that's a huge part of how we're able to get such good open rates. The average open rate, this is not like a marketing stat, is between 40 and 60% open rates. If you have less than a 40% open rate, and you're one of our publishers, that's what we call our customers. We know you're like, there's something wrong. So I like, assign someone on my team to go figure out, like, what's going on here. Let's fix that. You know, whereas most people's open rates are like, you know, 8 to 15% if you're lucky, maybe 20% if you're doing really, really well. So, you know, our par is a lot higher. And if you have really high residents, like, if, like Chris Foss's newsletter, I mean, I don't want to put his stats in the public, but very high open rates. We also just launched Dan Sullivan's newsletter, the Spark. Very, very high open rates. I mean, his audience loves him and his stuff already. So we're able to just multiply what's already there.
That's crazy. Okay. But AI is moving so quickly. Yeah. And so what. What keeps you up at night about this? Because I could imagine there was going to be someone, you know, some indie coder or some big, I don't know, division of Microsoft that looks, oh, daily AI is doing. This is. This is interesting. Let's just do it and. Or whatever. Right. I mean, are these real risks in the marketplace? Like, what are the. What are the risks? What keeps you up at night with AI?
That, like, competitive stuff doesn't really keep me up at night because the things that make us special, you know, we have IP protection around that. And, you know, most big companies don't want to go after the small, you know, really small business segment that's sort of neglected, which is why it's why we're happy to do it. So I think it'd just be much easier for Microsoft to buy us. So thankfully, Microsoft, if you're listening to this, we'd be happy to have that conversation at some point anyway. So what keeps me up at night about AI is actually there's two camps, roughly speaking, in humanity on AI. You've got one camp which is like, I'm a maximalist. I think it's going to accelerate and make everything easier and become our thought partner and extension of our consciousness and intelligence, and it's going to be extraordinary. Then you've got like, the doomers that think it's going to bring about our Destruction. And, you know, Dan Sullivan said something that I really appreciated in the mastermind that I'm in with him, a genius network, basically the one that we're both in. And he said, you know, we're really bad at predicting the future as a species. And I agree with that. I mean, we're like, some of us are better than others in a short enough timeframe, but extended out long enough, and we're just bad at it. But we're really good at assigning meaning. Meaning that, like, whatever future you think is going to happen is in some ways the meaning you're assigning to what's going to happen. And so if you're like doomer, sort of gloom and doom person, you might think the sky is falling. And if you're like an optimist, you might think everything's great. So I sort of choose the meaning that AI is going to be an incredible accelerant to us. And I think that, much like electricity, it's going to dramatically change everything in the way that we do it. But we're going to adopt AI way faster than we will have adopted electricity. You know, there's still places on the planet that don't have electricity, which is, you know, shocking to us in the Western world, but it is what it is. I think AI will permeate the people with the electricity much faster. And so, yeah, the thing that kind of keeps me up at night is like, the only way to win in this game is speed. Like, real fast, like customer acquisition and going really fast because, like, technologically it's very difficult to build a moat. So, yeah, it's, how fast can we go? And I think there's a fast way and a right way. And so the discernment of, like, what is that for us? That's a. That's a legitimate concern that we wrestle with as a leadership team all the time.
So, yeah, I mean, I, you know, and after building teams, doing startups from a leadership perspective, what mental models do you use when you think about that discernment of going fast and doing it the right way?
We can only go as fast as our customers are willing to go. So today we have the technical capability to send a personalized individual newsletter to every single subscriber on the list. But publishers don't want that. They don't have time to review 5,000 versions of their email. They want to see one version, approve it, and then send it to everybody. So we want to do the best thing on behalf of our customers at the speed with which our customers are Willing to go. So that's call it a constraint or a reality that we live in. But you know, the, the mental, some of the mental models that, that I think are really important is same thing, man. Put the customer first. If we can put the customer first and optimize for their outcomes, money is no problem. Like they'll pay us, right? If we can get you, we have a saying in our company, outcomes over outputs. Meaning like anybody can get an output out of chat, GPT or mid journey or any of these AI tools. But if it doesn't get the customer an outcome, better open rate, better clicks, more ads, more book calls booked, more, more sales, then it doesn't matter. It's just like a giant rush of, you know, novelty and dopamine. I can get that from watching Netflix, you know, and so can you. We might as well work on things that are going to move the needle. So yeah, we're really focused on outcomes. That's a big, big mental model that we hammer on. Put the customer first, focus on what's good for them, measure measurable outcomes for them. You know, and the last thing is just as a leader, like I think our jobs as leaders is to like create a potential future reality that doesn't exist and then recruit people and money and resources and go make it happen. Right. And so at the end of the day, no matter what's happening, what is the vision that we have for the company and how as a leader am I helping the team collectively define reality? And it's really challenging and interesting doing this versus what I've ever, anything I've done in the past because it changes so fast and our prediction of what the future is gets cloudier and clearer. It seems like every other month. And so but it's, how cool is it? We live in a time where we can chat with like a super intelligence and get instant answers and even though it hallucinates half the time, it's super cool and it's not getting, you know, quality wise, it's only getting better. So it's what, what a, what a crazy time to be alive and, and to be building in the space. It's really exciting.
It's, it's amazing. I mean, I totally agree with you. It's the best time ever to be alive. And I really, I mean I'm so thankful. But my kids, I think what a great time to be in your 20s right now and alive. Yeah, they, they really won the, the lottery of life in that sense. So yeah, if I, if I could just Brian Johnson and Stop aging. That would be amazing.
Yeah.
You know, I agree with you. Like, the future's so cool.
It is. And one of the newsletters we make, we made it in our beta program last year. You know, Tony Robbins and Peter Demandez launched a book called Lifeforce and we made the companion AI newsletter for that thing. It's called Longevity Insider. So if you go to longevityinsider.org and you're into longevity, five days a week, Monday through Friday, it will curate the latest longevity breakthroughs and summarize all them for you in a daily email that. We've got about 42,000 subs on that. It's got a 54% open rate, so 20,000 people read it five days a week. It's awesome. So if you're into living forever, I'll. Brian Johnson. This is like all the latest and greatest cool stuff there. So a little plug for that.
Yeah, definitely. That could be your tip of the week. But no, I'm going to answer something else. So you gave us great advice in the beginning. I want to flip it and say, and just ask you what's the worst advice you see or hear given in the world of startups or entrepreneurship or even in AI?
Yeah. Wow. What a great question. I think the advice that is the least useful is if it comes from a mental model or a headspace of one right way thinking. Right meaning. I'll give you an example. I'll try to condense this. There's kind of three ways of looking at the world from what's true perspective. There's the moral perspective, there's the scientific logical perspective, and then there's the intuitive perspective. There's more than these. But let's just say that. So if I meet somebody that's really high strung on the moral perspective, I don't want to make them wrong, but I'm probably going to discount what they have to say because it's just pretty one dimensional. If I meet somebody, which I did recently, and they're like an empiricist and all they can see is through the eyes of what's provable through science, it's not that they're wrong, it's just that they're only seeing reality through one dimension. And if I meet someone that's like, oh, this is how I feel about it and my intuition, I think that can be powerful. I also think that that's one dimensional. So I try to go to the root of where is this coming from? Is this person taking what I call a multi perspectival approach to the world. And does the advice reflect that? And if it does, then I'm very interested in what they have to say. I'm like, ooh, this. Whether they know it or not, this person's onto this truth stuff. They may have a better view of the world than I do. And then I try to become a student and listen to them. So just principally, that's a filter I use to evaluate all advice. And if somebody has a really high conviction rate on everything that they say, everything's like, oh, that's definitely this and it's definitely that. Then I'm like, are you sure, man? Because everything in its excess becomes its opposite. And it's rare that things are definitely 100% the way they're true or the way they're purported. And so I've just learned to take. Have a healthy skepticism to kind of the one right way thinking. It just, it's. It's probably good in spirit, but it doesn't usually pan out in reality. So that's my universal law. And that's right 100% of the time. No, that's, that's just how I think about people's advice, if that's helpful. But other than that, you know, I think that just specifically to AI, I think there's a. There's a lot of. I would just caution people, you know, like, AI is extraordinary, and by the time you're listening to this, this won't age well, because maybe you listen to this in two or three years and the capabilities of AI will certainly be exponentially better. But at the time of this recording, there's a lot of promise in AI, like, oh, you can automate this and it's going to make you a bunch of money. And it's just push some buttons and it's like anything that's like the easy button. It's not the easy. It's not yet. It's not there yet. It needs a lot of good TLC and parameters and framing or human help. So at the time of this recording, like, there is no whiz, bang, push one button, all your problems go away with AI. Not yet, but. But right as of right now, you know, at the time of this recording, that's not here yet. So I think that's generally when I hear that. I don't know if it's bad advice, but I definitely know you're trying to sell me something.
Yeah, I mean, you know, the thing is, and I don't know if this is going to change, but throughout history, nothing worth doing has been easy. And the tools and the technology have gotten better and better and we've gotten smarter and we've evolved and it's still, nothing is easy. Now there's people out there like, you know, you or Peter Diamandis, right. That might make it look easy, but I think if we looked at how you guys work day to day, it ain't easy. Right? And so I don't, I just think, I just think it's just going to be another tool to help us. But at the end of the day, it's, you know, it's still going to take human can doness and ingenuity and, and a whole bunch of other skill sets to, to really break into a very competitive marketplace. I agree. And yeah, but. Well, Joe, this is, this has been fantastic and your, your mentorship has been absolutely invaluable. But now we're at that point in the podcast where I'm going to ask you for your tip of the week. A book, a resource, a website, something else actionable for the art of passive income listeners to go improve their businesses, improve their lives. What have you got?
All right, here we go. So my tip of the week is. It's not like a book or anything. It's. If you, if you aren't on a tool like ChatGPT, get on ChatGPT or Bard, just Google it, find it, sign up for the free version. And if you're intimidated by AI, I want to give you a tip. The tip is this. If you've got a lot of experience in a domain or an industry or a specific part of your life, and you've got frameworks and mental models and ways of thinking about it because you've gone really deep and learned a lot about it, and you have a lot of experience there, that's actually going to make you a better partner with these generative chat bots, these AI tools, and so you can bring those to the party and get a lot better outcomes than a young person who's more willing to take the tool but doesn't know how to tie their shoes in your industry and doesn't have your experience. So, I mean, a lot of people who are almost discouraged, they're like, you know, I can spell AI, but I really don't know how to use it or what it means. It's like, well, you don't really need to. All you need to learn is have a conversation and how to bring your knowledge to the party and then interact with it in a way to help you, you know, do whatever you're doing. Whatever tasks you're doing. And so I just wanted to give you encouragement, like if you're not using these tools, please use the tools. It's a bit like not using electricity after it came out. And it's easily accessible and free in many cases. And just know that like you're, if you have experience and domain expertise, it's not, you're ahead of the curve, you're not behind it. And be encouraged and bring that experience into the chat experience to learn and to grow and to use those mental models to get better outputs and to just, you know, if anything, just learn how to use AI. It's, it's a fascinating technology that's going to change all of our lives. And yeah, that's my advice. That's my tip of the week.
I love it. I love it. Don't be intimidated. Use your, your depth of knowledge with these tools. Well, you know, Joe, that's a good tip of the week, but it's not going to make anybody any real money because my tip of the week will.
Great.
And my tip of the week is go to daily www.daily.AI. and with my Midwestern accent, maybe you don't know how to spell daily or maybe I don't know how to pronounce daily D, A, I, L, Y, like every day, daily.AI. and imagine getting those types of open rates if your land is, you can sell a piece of land every week, maybe every day. Because you're engaging, you're building so much, you know, goodwill with your audience because you're giving them exactly what they want. And yeah, you can throw in an add or two in there as well. And there's not going to be that, that feeling of, oh, this person's just spamming me with their newsletter because it's curated for exactly what they want to read. It's insane. And Joe, how long does it take to make.
Well, here's the best part. You fill out a survey and you go on a 45 minute call and our team does all the work for you. So not, not much time at all, maybe total and 45 an hour of your time max. And then our team will set your newsletter up. We basically do it all for you. So there's a very little time investment on your half.
Yeah. So for the ambitiously lazy, which I know if you're listening to this podcast and you're interested in passive income, you absolutely are, we can always make more money. We can't get more time. You owe it to yourself. Even if you're not in the Land business. If some other business where you're doing marketing to an email list and I know you are, go to Daily AI Joe Stolti. This has been a phenomenal conversation. Is there anything I should have asked you? I didn't ask you.
Well, I will say this. Anybody that mentions the podcast, if you come to the website and you book a demo and sign up, if you mention the name of the podcast when you purchase, we'll include a free 90 minute training that shows you how we use these chat tools like ChatGPT and Bard, how we use them in our business. So you can send someone on your team or you can learn them. And this is exactly how we save hundreds and hundreds of hours every month. We have about a nine person team doing the work of 30 and I'm going to show you in that training how we're using these tools and very, very simple ways to get lots of time saved. And so as like a bonus just for hanging out with us today, I'm happy to throw that in the hat and give it to you for free.
Joe, that is so generous. Thank you so much. Well, I do want to remind the listeners that the only way I'm going to get the quality of guests like a Joe Stulte to come on the podcast is if you do three little, three little favors. Follow rate, review the podcast, send us a screenshot of that review, support the landgeek.com and I'm going to send you a signed copy of Dirt Rich. But just do it for yourself selfishly because then Joe will come back and be like, oh, look at all the reviews on auto passive income podcast. I'll come back. So, so even if you don't want the book, you've read the book. That'd be really helpful. Just quick reminder, if you're looking to build your passive income, you want to go up that mountain of land, investing safely, quickly and efficiently with someone who's done it thousands of times. You owe it to yourself to learn more about flight school. So just go to thelandgeek.com forward/training schedule. A call to learn more. I know you're thinking, oh, you know, what about the, the tuition to flight school? It ain't gonna cost you nothing. Guaranteed you're gonna make that money back 180 days or less. Just show us your work so you've got everything to gain, Nothing to lose. Thelandgeek.com forward/training. Joe Stolte. This has been amazing. I want to thank the listeners and let freedom ring. Thanks Joe.
Thanks Mark. Thanks for listening to the Art of Passive Income podcast.
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