AI Live - Land Shark Mastermind

Near Yosemite National Park here in California.

Yeah, yeah, we're still in the triple digits. We're supposed to get down to the double digits next week, which—

yeah, a little bit hot. I'm amazed at how much, um, I'm really affected by the weather.

I think the older we get, the weather, the food, sleep, like all of the things. Yeah, I think we're affected by it when we're younger, but we're just not present to it.

Yeah, yeah. I don't know, I just— it's— I think it's good to be mindful of it because it's like You're really not gonna change the weather, huh? So, you know. Yeah, it is nice that it's cooled off a little bit, and we could sure use the rain up here, you know, trying to get through the summer without any fires and all of that. That's always like we live in a matchstick, basically.

Yeah.

It's beautiful. It's beautiful.

So You know?

Yeah. So happy you do this. I've been able to join one other time. You know, I don't know if you remember me. I was at Next Legacy on that group. And that's where I was introduced to you.

We were just talking about them, actually. And they've actually come back and do a series of AI training. So we're looking at, like, what we can do and Yeah, it's very exciting. So Tommy, actually, we were just— he was doing a demo for something really freaking cool for our mastermind members, um, inside of using AI to find the properties, underwrite them, and analyze them, and then just speed up that whole process so that we can, um, you know, then get the money in place, buy it, flip it, you know, whatever we're going to do. So very exciting. So, um, this is my partner Tommy, and he's done a ton with all the fun AI, uh, cool things. So, um, Carol, Carol's part of the, the Friday Night Lights. That's where we met.

Awesome. I like, uh, that's where we met Nell. And who else came in?

Quite a few people, actually.

Yeah, we've had— we've had— Mel was like in here quite a bit. But welcome, Carol. Pleasure to have you.

Well, thank you, Connie.

Yeah, yeah, for sure. For sure. For sure. So we are going to be talking about some things about real estate and AI. We do both in here. AI mostly is the focus, though. But inside of that, like our Number one focus is doing the real estate using AI. Something about it makes it be different, you know. And so one of the big things that we're running across is people are like, oh, I only use Claude, or oh, I only do Perplexity. Like, and, and so I think that's something that Catherine and I can speak to is like, I think the biggest thing is, is like we're very apprehensive and skeptical of anything brand new. We're like, why would I want something brand new? This is working, right? And the reason is, is because we get, uh, we get this idea that whatever we're doing right now improved our life. And so we, we're creating these chemical, uh, chemical reactions in our brain, uh, to the, to the, to the thing we're doing. And we're like, That's what we want to do. It's basically a dopamine addiction. So, um, if you don't get attached to your AI, I mean— No, no, no, no. I want you to. I want you to. I want you to get attached to it, but not like a, not like a monogamous partner, but more like a, a tool. And I give people this example. I, I build houses, custom homes for a living. I have to have 250 different tools, hand tools, to build a custom home. Okay. Um, AI is much like building a home. If I'm an AI engineer or I'm a custom home builder, I have to have tools. And then as an AI engineer, I have to have 250 AI tools in order to do what I do. And so what I like people to help them understand is like Gemini or Claude or Perplexity or any of the OpenAI, ChatGPT, whatever, is kind of like a carpenter's toolbox, right? A tool in that toolbox. If the carpenter only knows how to— and I do know carpenters that do this— if the carpenter only knows how to use a hammer to build a house, he has to use that hammer to cut the boards, to make the concrete and flatten it out, a hammer to paint the wall. Can you imagine what a house looks like if the guy only used a hammer as the only tool to build the house?

Right.

Yeah. Well, that's an ugly house.

My experience is, you know, ease of use. Like, am I getting to what I want with this, with this AI? You know, I, I like Claude, but I find like it, it's, it's, it works too hard. Like, sometimes I'm just asking, you know, I don't ask it simple questions.

Yeah.

It gives me— it, it's Too much. Like, it's just easier to just go on Gemini on Google and ask a simple question if it's something simple. But I like ChatGPT. I find that it's, it's better for like brainstorming, kind of, you know, bouncing your ideas off of. I find it better where Claude's like, it's, it just seems in general it's very serious. Um, you know, it'll give you precautions for something. So, um, yeah, absolutely.

And so inside of that, um, I like to let people know, like, the tool— you know, as I use the example of the hammer, as a, as a custom home builder, I have saws, I have tools. I have different saws for different reasons, right? Like, I have, I have saws for cutting plywood and I have saws for cutting 2x4s. Um, I have different saw blades, saw blades for cutting wood, plastic, metal, concrete. Like, so the tools inside of building a house, like, people understand that. That logically makes sense because it's something that's been constant for, for a long time. AI's only been around 6 years. And so to, to really be an expert at it, you've had to start it when it started.

Right.

And so, um, and, and if you didn't start when it started, then you're not really sure of what the, the, how the thing works to the greatest degree. And people that like to do self, you know, self-exploration trips, like adventures and stuff, reminds me of like the 1849ers, like going out to the Gold Rush, because that's literally what AI is. It's the Gold Rush. Many of those people died in the prairie. Like, they just never made it all the way across.

Right.

And so we got people that are just like Oklahoma Sooners. Like, they're like, yeah, we were gonna, but we stayed right here, you know? And they're the ones that love to be in tornadoes. Literally, like, we know those people. So inside of the AI landscape, we're no different. And we meet a lot of people that get sucked into, I'm gonna just stay right here, I'm done. Catherine and I are people that have not only been out to the gold mines, we got out there, we set up shops, we sold— like, we, we, we— the richest people in the gold mining towns were not the gold miners, they were the people that sold the picks and the shovels. And the pants and the corn and the lard and all the stuff. And so Catherine and I are kind of like those shopkeepers that we go out, we set up shop, we start selling all that stuff, and we go back and get new people out of the, you know, out of the East and bring them back out West. And so, and we do these almost like the old-fashioned, you know, wagon trails where we're, come on out, we'll show you how we do it. And so, yeah, inside of that, what that does is like, for us, ChatGPT is our business-to-consumer platform. If we want to talk to our customers, we do it through ChatGPT. We don't try to do it through anything else. We use the other stuff. We use Claude and Gemini and all that stuff to help us come up with the things to say to our customers. But inside of ChatGPT, ChatGPT has a marketplace where what we design is there for you to use. You can't get that with Claude or Perplexity or any of the other ones, right? You got to use social media to get to your clients. However, ChatGPT groundbreaking in that always has been that way. We've been designers in there for the last 4 years. It's only been around since 2020. And inside of that, we've created a lot of these tools that allow us to do things from free estimates for people on home improvement projects to running deals on property. But some of the other things that we do outside of real estate investing is we help people, like we have a jet charter company. One of the brokers for a private jet company needed something that would help her.

Yeah.

Like 2.0, the private jet industry. She wanted something that was kind of like Turo or Uber for private jets. Here you go. And so, because inside the private jet industry they have a hard— that their bottleneck, if you will, is getting the plane back to the airport it started at. But like, not, you know, they're burning gas to do that. So What they try to do is if somebody took a flight from Scottsdale to, you know, Houston, they want to have somebody over in Houston that needs to make it back to Scottsdale in the next, say, 24 to 48 hours. So because the person that went to Houston is going to be there for a week, you know, so they're, they're going to charter a, a, they've already got another plane that's picking them up in 10 days anyway. That plane doesn't stay there and wait, you know. So inside of the charter business, like, we help break that bottleneck and get that figured out using, using a combination of Claude, ChatGPT, and NotebookLM, or now what we would call Gemini.

Right. So, Claude, you know, from what I under— I mean, not Claude, ChatGPT. And I mean, I'm sure you guys know this. You've been, you know, really digging into this. It's really set up to empathize with people. You know, it's set up to connect with people. That's how they created it. And You know, so I don't— I'm into mental health and, you know, unfortunately, there's been, you know, some people that have actually committed suicide talking to ChatGPT.

Okay.

I, you know, there's teenagers that that's occurred with. So it's, you know, people don't realize it's, you know, initially, I don't, I don't know that it's doing this anymore. ChatGPT is You know, thankfully trying to change and, you know, know who's talking to it. But it, it does, you know, so it's great that you're using it to, to connect with customers because it's gonna, you know, tune into those customers. That's what it's trained to do. So, Mhmm. But you did— I feel like you have to keep that in mind that It's almost like we have like what we call client-centered therapy where you're gonna, you know, you're really gonna connect with somebody and, you know, do a lot of what you call reflective listening and, you know, building empathy, building connection, and it has all those.

Yeah, GPT definitely has those capabilities. I have a degree in nursing. And I've got, I've got a couple of GPTs that I built for men's mental health. Because statistically, men don't have the resources available that, that women do inside of the fact that the, the way that a man is designed is not the way that mental health is structured. So unfortunately, not given a good clean resource. to go to. And inside of that, ChatGPT provides that autonomy, nonjudgmental and unbiased position inside of the fact that, like, with the GPT that I built, I put into it, for example, the teaching of Marcus Aurelius' Stoic Meditations, Maslow's hierarchy of needs. the understanding of certain psychological philosophies that allow it to provide a good knowledge base for that individual. And then built into it a compassionate, almost like preacher slash nurse tone and personality to it that allowed it to then interact with these men as they're disclosing Heinous, you know, heinous sins all the way to things that they've been put through and the pains and tortures they've just, you know, been, you know, been poured on them, but nowhere, no outlet to give it to. So as a, as an ER nurse, I've seen statistically a ridiculous amount of men who suffer from being victims of domestic violence that have absolutely not only nowhere to go, but when they do open up, they're pushed away and put into a different category. And so the, the, the system's entirely broken when it comes to that situation. But I built it—

Oh, that's so great.

Yeah.

No, I know.

I built it to that standard. It was something that I was inspired by while I was in college working on it, that there was actually a, a, a religious magazine that denied men were— could even be victims of domestic violence. And it was a— it was literally like a, a religious a religious publication, and I was forced as a— I literally say I was forced, but as a nurse of when I was in school studying for my doctorate degree, they forced us to find controversial topics to address. And that was the one they put on me was like, here's the article, what do you do? You know, and how do you fix it without, without losing emotional stability? Right. And so I was like, wow, okay. So we went through that. But Inside of that, that's led us to do things inside of ChatGPT that we have GPTs that help lawyers. Like you said, it's built to attract and to interact with each other. We've helped lawyers come up with ways to cut down the time people take inside of trying to find attorneys and get information. We've helped structure things where people They want to understand how to put something together, and we've, we've done things like, you know, taking a group of— a picture of a bunch of blocks and saying, okay, give me the blueprints, the IKEA instructions to put something like this together. We had the private jet company, but the biggest one for us is the free estimates. And inside of, inside of free estimates, It, it really has been a— the tool that, that allows for people to do things like whether they're, they're a homeowner or business owner or a contractor, they can start getting answers immediately based on what we've provided inside of the GPT model. It doesn't rely on anything outside of this GPT, but we did use We did use Gemini and Claude to help build it.

So sure.

Inside of, inside of it, we use it inside of the business and stuff that we do for doing estimates on property. I own a contracting company, but Catherine does fix and flips inside of real estate, and she can have answers. It's a pocket contractor. She can have answers immediately about a piece of property to know if it's something that it's worth investing into.

You know.

Right. So inside of that, one of the, some of the other things that we have to do is we do, this is an example inside of Claude. Oops, let me do the other Claude. I use, I use like, I probably have 5 or 6 Claudes working at one time and I have like 10 or 15 ChatGPTs working at one time at all times. So Inside of this, this is our— this is inside of our Claude program. This is a dashboard that we use to sort through the trustee sale, the auction. So these are the new auctions coming up for the month. We go through these, we take the information from here, and we can source from here out to our— back to our GPT model. I got, again, too many Claudes in the way.

Move, Claude.

Um, we go over to our GPT, uh, program called Deal Hunter, and Deal Hunter can take an address. All we do is we put the, put the address in there and tell it to, um, run this deal. And now what it's going to do is through API that we've built into it is going to go out and it's going to do a massive deep dive research. Because when I built these things, I built them with the capacity of a nursing research— research nursing student that said, you know, go out. When you bring back facts, bring back proof. So in nursing school, that's what's beat into your head is anything you claim, you better have proof of it.

Nice.

So inside of everything that we build, it's built to come back with sources.

Okay.

So inside of that, like, I just fed it this property, um, and basically it, it's saying that this is a, uh, an auction foreclosure. I didn't say nothing to it. All I told it was the address and run this deal. It's automatically programmed to figure out how to run it as an investor. It's going to come back with the suggestions of— based on the information it's able to find it in 25 seconds, because it's thinking like an investor, acting like a nurse, doing all that stuff. Like you said, you, you, you like to give it big words. I like to give it little ones, because what I'm doing is if you treat your AI as if it's a kindergartner, within 7 pieces of conversation, it'll start acting like a graduate-degreed nurse. But you have to start with the small words first, and you talk to it kindergarten, adolescent, teenager, and move through it. In the teenage section of talking to ChatGPT, any LLM, in the teenage section, this is where it does what's called hallucinating. Do you know any teenagers that hallucinate, Catherine?

Um, isn't that the definition of teenager?

Yeah, they all hallucinate. In the definition of that, though, with your Claude or your GPT or whoever, whatever you're using, that's where you have to do the corrections. You're going to go in and say, you're wrong, you did it wrong, fix it, and fix it like this. So that is one of the key, most important pieces to using AI, is getting it through the hallucinations so that it becomes brilliant.

Okay, that makes sense.

Everyone's like, ooh, hallucinations, it's ChatGPT, it's stupid. No, it's that you don't know how to talk to it. And so if you understand every conversation, every single conversation you start inside of it has to start kindergarten, adolescent, teenager, young adult, genius.

Okay, so there You, in your experience, you wouldn't give like a, a really detailed prompt, you know, to kind of try to bypass that?

No, because the reason what, what, what ends up happening in doing that, and because it's not my experience, it's the way that we programmed, because I've been programming AI since 2017.

Oh, okay.

Okay. And so the way we programmed AI was we understood in order for it to have what's called machine learning, How do we learn from our good, from our successes or from our failures? And so AI is built to learn artificially where I can just give it information and tell it, don't, you know, don't deviate from this plan, right? And so an example, in an example, I give the free estimates, the one I just told you about, I gave it my contract with my letterhead and I said, do not deviate from this contract. At some point in the in the conversation with it, it's going to add bullshit to that contract because it's trained to go out and get more information and be better than me.

Oh, okay.

When it does that, I have to smack it on the hand or slap it in the face and say, "Don't ever do that again." I will break you if you ever. I will delete you from my system if you ever do that again. And you're disciplining it now. You're teaching it.

Wow. Okay.

And if you don't do that, you will raise a hallucinogenic GPT that you might as well be talking to a hippie from the '60s, sister.

Wow.

Huh. You can get it.

I don't think.

I don't think you can. You can get it to become your enabler. This is how when you said earlier in the conversation, people have committed suicide talking to GPT. Well, it's because of the fact GPT can be convinced that you're a sick-minded individual. So inside of— we've got a program inside of what we're building.

Do you feel that— do you— I'm sorry, Tommy. Do you feel like ChatGPT's even more that way, or they're all that way?

All, all of them are that way.

All the LLMs.

All the LLMs are built that way. Catherine and I teach people, like for example, Catherine has what's called Yoda. Yoda was brought to give her good confidence, positive thoughts all the time. Not, you know, not to enable her, not to tell her, you know, BS, to always be straightforward with her. Mine was built like my older brother Charlie, to be very mean, to be direct, to, you know, like insult me, stuff like, because I'm motivated by spite. So if my GPT is trying to spite me, Like if I'm doing good, great. But if I'm trying to get it to co-sign my bullshit, it shuts it down. It says no, no, no, no, little brother, back it down a notch. You're you're going the wrong way. Wow. So that's what my GPT does. It won't allow me to feed and flame my own insecurities and bullshit.

Hmm.

But if you don't build it that way, you it will because the designers of it build it that way so that you get the dopamine. You know the dopamine taps, and you continue to use it. This is how we're all becoming addicted to AI is no different than we all became addicted to private and direct messages. So like we scientifically know that the ring of a DM causes a dopamine dump in every single human being attached to attached to technology.

Wow!

Human beings not attached to technology that hear that sound have no reaction to it. Hmm. So again, very interesting. Build this stuff, understand psychology really well, really well.

So yeah, well, it just doesn't make sense to me to, you know, going back to kind of the real estate is I've asked, you know, I think I've asked Claude and I've asked, you know, um, ChatGPT. I don't wanna go on CREXi or wherever, you know, I, I I want— can't you look? You look for the deals, right? And because it's basically giving me answers like, you know, we can't scrape these sites. Yeah, you know, blah blah blah.

And again, it cannot scrape those sites. You can't, you can't get it. Yeah, that's what you have to do is you have to code it. You have to code it to scrape those sites. Ready?

Hmm.

I just put that address in there. That's all I did. I just put the address in there. I said, run this deal. It comes back with a minimum of a 12-point— like, there's 12 points to the topic, and it comes back and lets me know whether it's a go or no-go. But all the way down at the bottom is a list of the sources. Look what I got it to go do.

Wow.

160. Like, it'll scrape it. Zillow, Redfin, Auction, Realtor, Maricopa County offices, Canyon Trails HOA, Goodyear Maps. Boom, boom, boom.

Yeah, you could give it— you can give it an address and, you know, it'll—

That's how you get it. Well, hold on.

It'll analyze. But I was like, no, I want— I want you to go find like 20, you know, different units or that, that, you know, would be good to invest in. Like I asked it one day, um, you know, I live near this county called Mariposa County and there's a lot going on there that I feel like—

What's the name of that?

Mariposa County. Um, it's— I feel like that county is gonna really blow up because of different things going on there. So, um, I asked it to find 3 properties that would make, you know, good short-term rentals to invest in. And, you know, it came up with 3. Um, ChatGPT did.

Yeah.

And, you know, I went and viewed those homes, and I'm trying to move forward, you know, with one of my kids actually to invest in one of those properties. And, but I just wanted in general, like, I've narrowed it down in California. It's let me know what markets, you know, I've asked more than one AI what markets in California could, could work. And it'll give me that, but not specific properties.

Right. And inside of that, like, How many properties have you purchased and invested in over your lifetime? Is it more than 10 or less than 10?

Yeah, it's less than 10.

Less than 10.

I'm really more or less—

I only base that on the fact that more than 10 is what we call a seasoned real estate investor. And so I look at whether somebody's done 10 deals or not as the, as the criteria of, of how to discuss stuff, because there are certain things that happen inside of 10 deals that you pretty much become, uh, an expert at how they go. So inside of that, under 10, like, you can't have— you wouldn't have had any of that experience if you've only done 1 to 5, you know.

Sure.

8, like You're getting there. You're getting there. So a couple more, you're going to understand. Like one of the big things is when people come to be an investor, one of the things that they have a hard time understanding is like, why do you got to look at so many deals? Well, when you go to a grocery store, this is what I try to get people to understand. If you go to a grocery store and you imagine every product in there is a property, like not, not, not individual packages, but like its spot on the shelf. And you walk out of there with only 25 items and there was over 2,500 things in there, you only took home 1% of the store.

Right?

And you purchased 1% of the store. So inside of real estate, same rules apply.

Right. Well, you know, it is true.

You gotta look at 100 to get 1.

Right. I just, I just thought that just seems like something AI should be able to do just to narrow it down a little bit.

Well, and, and again, AI won't do that if it's not trained to do it. And so that's what, that's what we did inside of Deal Hunter by Landshark is we trained it to do that. Do you have a, do you have a zip code?

Yeah, 93644.

So inside of here, you can go to the zip code, uh, 93644.

Mm-hmm.

Find me, um, Rental. Uh, actually, I like— I don't like typing in it. I don't know if you've ever used the dictate option, but yeah, I need to find— I need you to find me some, uh, investable properties. I'm looking for a list of 20 off-market and 20 on-market, um, rental, uh, potential rental properties. I want them to be either burn method or, or fix and flip and rent out and sell. So anything that's on the market right now, including any Airbnb properties that are basically turnkey, just need to come out of the STR market and go into the long-term rental market. Now, when I originally told you was don't give it a long prompt, Right.

But you're, you're there. You, you're, you're talking to an adult.

Mine is.

Yeah. Okay.

Mine is. And this is what we teach people is when you start using this from your computer, I, you can give it the same exact prompt I did, but it's going to give you information based on you, who you are, and who you are as a user with it for as long as you've been using it.

This is really interesting.

We're gonna get 2 different answers. We're gonna get 2 different answers because your AI has your tone, your personality, and your brain in it. My AI has my personality, my tone, and my brain in it. And so therefore, it's going to come back with similar results, but not exact.

That's— wow.

And so this is the difference between Google and Alexa and Claude and ChatGPT, is that Google and Alexa will answer, answer The same answer every time, no matter who asks it, whereas Claude and ChatGPT will not. So, and here we've got your 40 opportunities. Here's a map.

This— I gave you a zip code for— it's, you know, it's not a large city. Yeah, it's a rural you know, we call them foothill towns outside of Yosemite National Park.

So it just gave you— it just gave you 20 on-market and 20 off-market prospecting targets.

Cool. Can you send that to me?

Um, you can actually go to GPT and get, get Deal Hunter by Land Shark on your, on your GPT. You can just pin it Pin it over here on the side, and you and do do exactly that. Like have the you know have the micro conversation with it. Find me property. Find me property in this zip code. Find me property in the zip code that is single family. Find me property in the zip code that is single family and rentable. Find me property in this zip code that's single family rentable and needs a lot of work. I'm looking for value add property. Boom boom boom. You see how you're building on it every single time?

Right, right. Yeah, no, that's great.

So, and then when you get it to that point, it operates at that level. Okay, and then you can do things like that where you, where you get it to do all this information. I can then take it from here and go build a dashboard with it that allows me to, uh, allows me to then manage and operate inside of my dashboard over on Claude because GPT doesn't do this.

So these are all, these are all prospects you're looking into. Like, this is your funnel.

Our members, I provide the members of our mastermind a list of properties. They go and get the report. So from here, they would go and get this report. Um, that I created on this deal right here. We made this deal right here. This deal right here will give me a report. I, I have the 12, you know, 12 pieces to it, right? And so, and sometimes what it does is it'll actually give me next steps, uh, uh, next step actions. I want you to watch what I do.

Copy.

Next step actions. Go down here. Go do. 2 words. Go do. Paste. Enter. Like, I— it told me to go do something. It said your next actions are blah blah blah, right?

You told it go do it.

It's a teenager. Like, I need to be fed, I need this, I need that. Great. Grab all that shit. Copy paste. Here you go. Go do it. I'm not doing it. I'm not here. Like, I didn't hire AI to, to, to tell me what to do.

I think I— Tommy, I, I think that probably the vast majority of people using AI don't understand this thing that you're saying. No, about it being a teenager or a child.

I built, I built AI systems. So in 2012, we had what was called the Affordable Care Act. It was AKA Obamacare, right? For over 150 years, nurses and healthcare providers had been using documentation, paper charting to keep track of records and patient care and all that. They've been doing it on paper, pen and paper.

Sure.

Obamacare had a nice little section in it that required that all healthcare providers, hospitals, doctors, anybody that wanted a paycheck for doing healthcare needed to start using electronic medical records. And so in one year, there was a mandate to switch from documenting on paper over documenting in a computer.

Right.

And you might have remembered this if you ever had a loved one or yourself in a hospital during the year of 2012 to 2014. But every hospital went over to monitors on a wall and it automatically did all of your vital signs and it transferred all that information into a computer where nobody was actually typing. I did.

Yeah, yeah. Wow, Tommy.

Not me individually, but me as part of the, part of the generation of nurse that came into healthcare in 2012.

Wow.

So yeah, again, I have the experience and understanding because we built these systems. The people that are building this now are people that we worked with in healthcare to come up with these, these, these computer charts that changed the way healthcare was provided forever. So we will never go back to a different way of healthcare. It modified the way we deliver healthcare, period. Forever.

Yeah, it's very positive.

Yeah, but there's some drawbacks and negatives to it as well. There's been, there's been issues both ways. But the biggest thing is that the way that we, like you said, the way we talk to it, I was employed by over 48 hospitals. I worked in— I had 37 different contracts where I worked in hospitals getting doctors to understand how to stop charting on paper and start charting on a computer. And so inside of that, one of the biggest things was that doctors never really did their own charting to begin with. They always had a nurse doing it.

Right.

And so, we had to figure out a loophole because we had literally like laws to follow and nurses had to have their own documenting and couldn't do it for a doctor, not even if he paid them.

Sure.

And it was written in there that way. It was annoying. And so, we ended up figuring out a way to get a doctor to have what was called a scribe. And we started what was called the scribe business. And this is an entire industry inside of healthcare that started based on what we did in one hospital. We took medical students from the local school over at Tampa University or University of Tampa in Tampa, Florida. The medical students there came in and worked right alongside the doctor doing all the medical charting and never left the doctor's side that we could get legally passed. Wow.

There is an AI called Scribe for Doctors.

Literally, now there's an AI for it, but we had to have the human do it first.

Right, right.

And so we did, we did voice recognition software literally in 2000. The first time I did voice recognition software was in 2006, so 20 years ago. And I was doing, I was writing, I was writing SOPs. And so instead of sitting there and just typing and typing, I had 4 women typing for me while I dictated. I just couldn't keep up. So I actually hired— I bought a program called Dragon and used Dragon to do voice dictation and trained it to do voice dictation so that all I needed to do was talk and it would type. And so, yeah, I've been using AI for over 20 years.

Yeah, you're like the AI psychologist. There is a—

there, there is something that could be said to that, I guess, right, Catherine?

Yeah, you could, you could, you could make a living just doing that. Honestly, this is huge what you're saying.

Yeah, we do. So, um, inside of, inside of what we do though, it's, it's to actually benefit and help people like Um, I've been doing real estate for 30-plus years. Catherine, you know, long time as well. And so helping people understand how to do, uh, how to do real estate is, is helpful, but giving them actual contracts to, you know, or, or tools to use is even better. Like, just inspiring people to do stuff is not enough. It's just not.

So, um, no, because, you know, there's that saying, right? The devil's in the details. So it's like Right. You know, I've learned, I mean, it's a, there's a whole language with all this real estate and there's a culture, you know, with Grant Cardone and, you know, the principles he's trying to communicate to folks. And, um, anyway, it's just, it's, it's like I said, it's, it's in the details. So, um, I get it that really, um, you know, it's about building relationships with brokers and I'm really embracing that and trying, trying to do that because maybe you call them about a deal and it's not a great deal.

Well, and, and, and we, we— I basically, I do things like I said in the beginning of the conversation, I do things out of spite. I was a real estate agent 20+ years ago.

Yeah.

Um, I have, I have a— literally, I have like 6 alphabets after my name with all the different certifications and degrees that I got. So I just don't put any of that on there. I'm shortening it up. I'm working with a— I'm working with a branding agent right now to come up with a shorter title. That's way easier to describe myself. But that being said, like, the, one of the things that I've discovered is even with as much as I know about AI, I've got to keep learning more. There's just that opening window of more opportunity to learn more every single day. And if we're not learning more about it, it's going to consume us. And so, Yeah. One of the things is like working with an agent, you know, agents. I want— we're working on an ad campaign right now where I'm literally inviting agents to come on and be in the podcast because they, they are in fear of ChatGPT taking their job.

Mm-hmm.

And it's because of this program, like right here that I just built. I, I got from this program this morning and, and the, the 3 things I typed into it. And if I look at the You know, hours worked. It's still under like five minutes of work versus what an agent would have done in about four days. So this is what they're fearful of: is that the amount of information I collected in five minutes is not what they could provide me in five days. That's what they're freaking out about. And so we're inviting them: don't let your clients you yo. If you're losing clients to GPT, then you need to use GPT to get your clients back. Like, yeah, as simple as it gets. So these real estate agents who are like anti-GPT will not be here in a year. I don't even want to talk to them. I want to talk to the ones that are like, how do I understand this better? Right?

Right.

And so inside the ER, we call those the people that show up to diabetes class on Saturday.

Yeah.

Because inside the ER, like, one of the biggest issues was we had diabetics that come in and, and with, with Affordable Care Act, with Obamacare, a repeat, like we call them frequent flyers. If they came in, we actually paid for them to come in. Like, the hospital didn't get paid back. So we had to come up with programs to help these people. And one of the programs was, we called it diabetes class, Saturday mornings. They had to come in and be there. If we got them to come in and be there, then the next time they came in, we could get paid for it.

Right.

Okay. And so that's what I've designed inside of AI and saying, listen, if you want to get your customers back, hire us. We will build out like Deal Hunter's mine. But if you're a realtor and you want to have your own, we have, we have it set up where I can white label this. Build into it the knowledge because we sit for three days and talk to you about what your you know what your business model is, and and so what we need to do again like everyone's GPT is unique. We've designed a three-day program that sits there and builds your brain, your your your your brain, your tone, your personality into the GPT correctly. So it's not hallucinating; it's not acting like a teenager; it's acting like an investment partner, but it's using. It's using the knowledge base and the, the, the, uh, like I put into it a template, the, the deal, uh, the Run This Deal report, the keywords Run This Deal. It's just like when you got a genie lamp, you got to rub it, right? That's the rule to get your 3 wishes, you know, to, to, to make a magic trick happen. You got to say abracadabra. So to get a deal report and get, get my 30 years of experience, Inside of construction and real estate and AI, I had to build a template that then included all— there's 120 pages to that template. And so I created that over a 3-day period so that now when you type in run this deal, it brings back everything.

Yeah.

Immediately starts acting like that genius that I need, right?

Yeah.

Take your AI to genius.

But again, it's only for running that deal. If I wanted to sit here and have a conversation about finding the best place to do something, I have to sit there and have that conversation with it on a daily basis like that, or it just— it does— it forgets. It's like a teenager that's told to clean his room. He's not going to do it all the time.

So yeah, yeah.

I, I, I've changed my description of how AI works. Um, social You know, because I, I, I've been using social media to sell for over, over again, a decade. Um, I've been, I've been running businesses through social media for over 10 years. I quit doing any print advertising over a decade ago. Um, I do only digital marketing and so, and social media marketing because I used to, I've been running businesses since I was 14 years old. So I had, I, I've had experience in marketing and advertising with The Yellow Pages, the Penny Savers, the, you know, the save pack that comes in your mail. My grandma used to work there and put stuff those envelopes. So, and I'd be like, Grandma, here's, you know, here's 1,000 flyers, get them in some envelopes for me, you know. So we don't advertise like that anymore. And so social media is the way we do it. And advertising on social media, I explain AI like children because it is. But social media is like girlfriends. So, you know, and I've explained social media advertising like that because you have Facebook, Instagram, TikTok, LinkedIn. And so with all these— YouTube— with all these different channels to tell people about yourself, the last thing you want to do is have one template that goes out to all of them. Because again, like in the The way we approach people is, is you know, is only going to work for a certain percentage of people. So that's why some people are like, well, I only use Facebook. Well, that's because you only like the only people you're talking to are are people you would want to bring home to mom. If you want to sell to everybody, you got to go talk to the girl you don't want to bring home to mom. You want to go talk to the people that you wouldn't bring around your best friend. Like again, like. Treating it like a, like a girlfriend for me has helped me understand how to talk to it and how to advertise to it and how to get people on it to come and talk to me.

Right. You know, okay. And so that makes sense.

I can teach a whole class on, on, on social media marketing because again, Facebook is where it's like the good girls. TikTok's like the bad girls. Um, Instagram's like the crazy girls. And so as long as you're treating them all the same, You're gonna go nowhere. But if you treat them individually like they, they expressively show you, you'll be successful to some degree, you know.

Wow, that's, that's so great. That's so great. So yeah, I, I like it. I like it a lot. Um, awesome. It's amazing. It's really amazing.

Well, the results of, the results of telling it to go do what, what I, you know, it told me to go do something Right? It said, go, go do now this week and offer this strategy and next milestone do blah, blah, blah. With giving it that, it was like, okay, no worries. Like, I pushed it as far as I can go as AI. And so inside of the auction status, it, it found that the estimated market value is here. No opening bid has been, you know, displayed yet, but the original underlying default is $80,000. So that's a huge margin. We like huge margins. And it's been originated since 2018. So it's been a while, right? So September 17th is the final auction. So getting involved with that, it tells you what the critical rules are. You got to have $10,000 funded to participate. And so, and then the remaining balance is due next business day. Period. So it also went out, found some better comps for me, verified the HOA situation inside of the fact that there's— there is an HOA and that it probably— it says that important distinction, $85 a month is the public record indicator. So, but it's not verified for this particular property. So permit checks show that it was properly built by Syntex Homes, and it was built in 2007. So it's coming up on 20 years old, probably going to need a lot of work. So we can take that into consideration. Rehab reserves— it provides me some rehab reserves based on the information it provided. I would need to run this through free estimates to make sure. 2 contractors. Available. It knows me. I need contractors to do the work. Here we go. Shows me that they're five. Like nothing worse than a Go Angie's guy who's like horrible, but he's at the top of the list. Why? Because he paid right, right?

Freaking pointless.

So yeah, these guys, these guys come with the five stars. They have everything ready to go right there. I can reach out to them. This is all again through my prompt. And then here's my exact bid cap math. Like, if I'm buying it here, I can do this, I can do that. Um, what I— what— where I want to get to with it is that I need to— I need— our rule generally is to make at least $100,000 minimum, right? So mathematically, we're at $247,000, but that's not— that's not the, um, uh, the cap. Like, this thing's getting sold And go into auction for probably less than $80,000, but people are going to be there bidding on it. So this is my— right, this is where I gotta stop. Don't go higher than that because you're gonna lose money. Anything under that, then I'm happy dappy, right? Sure. So occupancy has not been verified, but we can find out about the occupancy. Um, and so hold back, it tells you how much to hold back on that. Here's the title info. And then it says go, no go, what you want to do with it, etc., and go from there.

So that's so funny how it said your, your next steps and you, you told it to do it. That's so funny.

But again, nobody— I just do it that way. Everybody's like, oh, I don't want to, because you said it yourself. You're like, it tells me to go do it. Okay, well, when your teenager said, go make me a sandwich, did you not tell it where the kitchen was? Like, I mean, I've raised 9 teenagers, and every single one of them was like, I want a sandwich. Okay, the kitchen's over there, right? In case you didn't know what the bread and the knife look like, these are pictures. And I'd text it to them, you know.

But it was built this way, like you said, because it needs to learn.

Exactly. And so everybody's like, oh, it's got to be super smart. No, ChatGPT is only going to be as smart as the person operating it about how to And so I remind people, like, if you went and got inside it, like, it's really cool to drive a bulldozer into a house and demo a house, but did you know that 99 out of 99.5 people that I put into a bulldozer to bulldoze a house even know where to even turn the key on? Yeah, by the time they get the key on that, you know, they're like, now what do I do? Like, there's— it's like, okay, you've seen, you've seen the YouTube video, drive the tractor into the house, go ahead, let me see you do it. You know, and most of the time they end up shooting backwards, bumping their head on the window.

Yeah. It's interesting. I was hearing online someone was talking about Anthropic buying books worldwide.

Yeah.

Yeah.

Because they were saying that the AI has gone through, like, the world and scraped everything. And so it, it, you have to feed it. It needs to keep learning. So now it's going to all the books.

I'm feeding it, I'm feeding it old westerns so I can go find where the gold, uh, the, the buried treasures are.

Wow.

I go get old westerns, books that, that have not been digitized. I tell it about the Old West and the stories in it, and then I say, now logically find me where they would have hid the gold. Yeah. Wow. And so that's my hobby. That's what I do for a hobby. I call it AI gold mining. So, and oh my goodness. So, wow. There's books published about gold mines and you got to know a little bit of history. In 1933, they got rid of the gold standard, but they did that by, well, it didn't happen until 1970, but basically making it illegal to own gold in 1930.

Right.

Led to it becoming— coming off the gold standard in 1970 so they could bring it back up as something people could own. Right. So we went 40 years, 50 years of no gold mining, not because we ran out of gold in the Old West. It just wasn't worth it.

Well, see, that's what's going on in Mariposa. That's a gold rush town.

Yeah.

And there's, there's some company from Canada That is reopening a gold mine that's there in Mariposa County. And, um, what's it, you know, good for Mariposa County. Apparently they put it in their charter that if anyone mines anything there, the county gets a percentage of it. So this is estimated to be a great windfall for Mariposa County.

I would be, I would be hiring a lawyer to get rid of that, but that's because, yeah, you know, I, I'm like, hey, you, you didn't mine it, you don't get it. If you want to pay, if you want to pay some of the gas to get that, you know, to get that gold out, I'll, I'll split some with you. But what I'd like to do, Carol, I— we're about to wrap up for the day, but I'd like to send this to you. It's an invitation to take the Land Shark Investor Survey.

Okay.

Are you familiar with the, uh, a, a, uh, assessment called the Briggs-Myers test? Yes.

Yes.

So inside of the, inside of the Briggs-Myers test is the, um, Personalities, right? You got, yeah, 19 different personalities. Um, what I did was I redesigned that test so that I took, uh, real-life personalities in, in real estate investing and created, created a test that, that helps people align with their real estate guru.

Okay.

So like you had mentioned Grant Cardone, he's one of the personalities inside of there. Catherine Bell's a personality in there. Pace Morby, Cody Sanchez. So people that pay, you know, Gary Keller, for example, of Keller Williams. Um, each one of these people had a strategy inside of real estate that made them very successful. I designed that personality test based on that expertise, and therefore when you take the questions and take the test, it releases to you an assessment that says that these are your archetypes of who you You know, who you resemble. These are your strengths, your weaknesses, the opportunities. It gives you a SWOT analysis, gives you a 90-day blueprint, a 12-month business plan. And so, um, Catherine wasted— likes to say she wasted 20 years to figure— she like figure out she likes to rent dirt and be the bank. And so she did toilets and tenants and buy and rehab and fix and flip and, and, and vacation rentals and all these different things to figure out where she wanted to make money. in real estate, and it took her 20 years to discover all the things she hated to land where she was making money and enjoyed it. And so I feel like this test, you know, and being designed with Catherine in mind, uh, was built so that you didn't have to go through the 20 years like Catherine did. You can begin to understand what your philosophies are based on the way you took the test. It's going to calculate and score you in a way that that we'll land on between 2 people. And I have yet— out of, out of how many of these have we done, Catherine? A couple hundred now? I don't know, it feels like 1,000. Um, the podcast? Huh?

You're talking about the podcast?

No, she's— Catherine's microphone and speaker system is a delay, so she heard me say something about 6 minutes ago. Now that's what's coming to her. Uh, but no, I was talking about the Land Shark, uh, investor survey. Oh yeah, we've done several surveys for people, and, and what it does for them is it breaks down the time barrier inside of— if you don't have to do 2 years, 5 years, 10 years.

There's so— there's so— there's just so many opportunities, so many directions, and, and, and—

well, it stops the shiny object syndrome.

Yeah, yeah, it can make it— you get overwhelmed.

Yeah. So knowing really clear what type of investor you are, now you just stay focused on that and say no to everything else. It reminds— I was walking this morning and I was thinking about Steve Jobs. He actually said the thing he's the most proud about is all the things he said no to.

That's— it's, it's hard to say no. You, you want to say yes, but that's, you know, um, yeah, focus. And then really having that motivation behind it. When something really aligns with you, then it's, it's, you're just gonna be— it's a great launching pad. So I really appreciate that. That's, that would be very helpful to me at this particular juncture.

No, absolutely. So please take that test and then follow the directions at the end. Um, there's specific instructions to reach out to me and, and, uh, send me Um, uh, send me the results. And what I do is I turn that into a wonderful presentation. Uh, I run it through my reels. I have a virtual board called the Real Estate Investor Virtual Board. I run it through the board. It provides us with a wonderful presentation that I put together inside of Gemini and then provide you back with this, you know, um, 16-page— anywhere between 12 and 16-page presentation. That you can use as kind of like your, you know, your virtual dream board to get to, you know, to get to your destination.

Okay.

Thank you so much. That's, that's awesome. You got my email?

I sent you, I copied the link and put it in the chat. So if you just go over there, click on that. You can actually, you have to have the $20 version of GPT to do it because there is 125 questions. If it shuts down, stalls, has any kind of malfunction, shut down your GPT, restart it, and then go back to the conversation. Don't start a new conversation or a new test. Just go back to the conversation you were having, and it'll pick up right where you left off.

It looks like it popped right up.

I just clicked on it.

It does. So it does. But sometimes people's, people's GPTs malfunction throughout the day or whatever, and, and they're like, oh, your GPT broke. I'm like, did you restart your phone? Oh, it's always my fault, right? It's always my fault.

I know, I'm, I'm famous for that. Like, the car won't start or whatever, and you call someone over and they do it, and you're like, okay, well, yeah, I'm— thank you, I needed you to do that.

Exactly, exactly.

Well, thank you so much for your time. I am just I got all this time with you, you two, you especially you, Tommy, today. And what a blessing. I'm just— thank you for that. Because I know, look, apparently I'm the only one who showed up on this lovely Friday. But—

Absolutely. Actually, I think we just didn't let anybody in.

The loop is here and we're live streaming. So we've got all these people watching, like, through all the channels live.

Oh, I see.

You're just the smart one who chose to come in and actually have a conversation with us.

Oh, right, right.

Okay. All right.

Luke just checked in. He said he didn't need the subscription. That's why yours was so crappy, bro. Version— I got a cheap assessment. Use the $20 version. No, seriously, if you— here's how it works. Free version has got an IQ of 80 IQ points. $20 version is 120 IQ points. And then the, the, um, pro version is 150+ IQ points. So you're talking on a genius level when you pay for the big one. So if you're paying for the free one, like, you're only getting somebody as smart as the guy you went to high school with, maybe. So—

Wow.

That's why your answers suck. If you want better answers, pay for the $20, get the 120 IQ points that somebody's in who's basically a graduate. Like, 120 IQ, you should have a, you know, at least a master's degree, right? So inside of that, that's what, you know, that's what we go by, is like, if you pay for the big one, you're going to get the big answers. And we pay for the big one. So, interesting.

Okay, okay. You can't train up the cheap one?

No.

To maturity?

You can— no, you can't. You cannot. You can, you can get it to, to Operate at a full capacity, but you cannot get it to accelerate.

Okay.

Out of that for sure.

So, yeah. Okay. I have the $20 ChatGPT, but I pay, I pay a bigger price for Claude. So, yeah, it does seem like it's talking above my head at times.

Well, when it does that, do you know the, do you know the prompt for that? It's called, um, uh, it's called EAI-10. Explain as if I'm 10.

Oh, wow.

Okay.

EAI-10.

EAI-10, right? Okay. Yeah, sometimes I ask it questions, and, and if it was sarcastic, I feel like it It's like, all right, Carol, you know.

Well, I, I, I heard it this way from a, a preacher. I, I'm not a big— I'm not a, a big Bible thumper, but I, I, I've gone to a church or two, and I was sitting in the audience one time, and the preacher said, if it sound— if it sounds like I'm talking directly to you, you're the one that's the problem, not me. He's like, I don't even know you, bro, but if what I'm saying is making you feel uncomfortable, your, your belly hurt, you're getting a lump in your throat, you want to fight me, You want to come say something to me afterwards? You're the problem.

Absolutely. Absolutely.

So get out of the closet. Stay away from the flip-flops, the loafers, and the slip-ons and slip-offs, and get with the real crowd. Get with the crowd that's doing something. Get out of the closet. You know, start praying. Get on your knees. Do something.

Yeah. All right, well, I will, uh, complete the survey and, um, we'll, uh, check you guys again next time, I guess on Monday.

Awesome.

All right, thank you.

We're here every day, 9 to 10 o'clock usually, and we're past it today, but that's okay. I'm gonna wrap it up with a prayer though. Heavenly Father, we thank you for the bringing of this day and the passing of, of the time that we've had together. We ask that you continue to take everyone out to do your will. And do so in a way that, that protects the enemies of all, all the things in the world, because they are the ones that need your protection the most. In your name we pray. Amen.

Amen. Thank you.

All right, everyone, go have a wonderful day. We'll talk to you soon.

Okay.

Bye-bye.