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0:00 A live fix, then today's goal
All right. So today, instead of starting how we will normally start, uh I broke the class and so we are going to fix the class because that is ironically a little bit about what the class is about. So it could work out perfect. So uh I did not intend to break it as part of this demonstration just as that is not me being super competent. This is me being a little bit incompetent. All right. So, what we're going to do is I'm going to say um my Netlify site for the presentation is constantly refreshing.
Please fix and deploy to Netlify. Open the site when you are done. So, that's a super easy um prompt. Not every prompt needs to be like a, you know, a system level prompt. Like if you're just trying to fix a small thing, um, you can go in and fix them. And the nice thing is is the smarter the models get, the dumber the prompts can be is kind of the trade-off, right? Um, when it first came out, you had to have some level of technical knowledge. You had to be like, I want you to audit, you know, these lines and do this and X, Y, and Z. Now you can say, here's my problem. Go figure it out. and it often does a decent job of figuring it out. So hopefully this does a decent job of
figuring it out because if it doesn't I'm going to look like an idiot. So fingers crossed. Um but the this is actually um this has happened to me twice now and they both times they've been one of my favorite things in the presentation because it does show how simply these things can be resolved, right? like it's not this massive process. And so when people see like, oh, he's teaching something and he typed a fix to this asset, it's probably not that hard. And and it really isn't. It's just repetition. Um, what we're going to do today once this fixes is we are going to go over basically how you can apply an agent uh brainstorming or problem solving set across your business. All right. So let's just take marketing for example because that's probably the simplest for
every like simplest um direct use case right and so what you can do is you can have it audit your business so you can say hey this is kind of what I do I get um a majority of my leads from going to networking events or I get a majority of my leads from cold calls or open house you get a majority of your leads like that's step one for it to understand what your process is right because the whole point of this the whole point of AI is that it is um useful regardless of the process regardless of the person.
So, however you're getting clients, that's going to be what I would suggest the best way to apply the AI, right? And so, what we'll do is I've got it set up so that we're basically going to run an audit prompt. And so it'll kind of interview and audit you for where are the gaps in my marketing? Where are the gaps in kind of do I need more awareness like or am I talking to a bunch of people but I'm just not getting any clients? Right? Because then you don't need awareness. You need something to close the pitch. If it's I get a bunch of deals but nothing ever happens with them, then you know that's the next. And so if you just walk down your entire like client pipeline from, hey, I've got a new client that's never heard of me
before to, hey, I've sold them their house or I've sold them a house. Right? If you can figure out all the steps in between there, you can one, automate them, and two, you can fill in the cracks, right? So if you're like, "Oh, I do this great job, but um once I connect with them and everything, they it just kind of falls apart. I never hear from him again. Right? And so it's like, oh, maybe you should introduce um an email chain, an email sequence or a text message sequence or right, the goal today isn't going to be necessarily to solve the problems. It's going to be identify the problems and have a framework to take and then go solve the problems with. Um so right now it the commitment is made and it is pushing to
Netlify. So hopefully soon we will have a website that doesn't flicker like super crazy. um in the meantime. But um but yeah, so that was solved right there. Literally a prompt and the intelligence is smart enough to get this back functional. Right. Uh now we'll see. It could, you know, this thing could go full Titanic the second I press a button to the right, but we'll see. Um, so basically this is the problem solving loop and these problems can be solved kind of across finance, marketing, operations. If you know how to get to the loop, you can apply it across the entire business. Um, you know
20:51 The OODA loop for business problems
then today we're going to go over basically how you can apply a decision loop to your entire business as it relates to AI. So this is the OODA loop um observe, orient, decide, act. It's the same thing. Um, but it's basically going to be analyze, research, audit, um, implement, iterate. And so what we're going to do is we're going to analyze kind of what's going on in the business. We're going to kind of research what other good businesses are doing. So like are you utilizing the best practices that you could be to maximize, right?
So, like again, I go back to email cuz it's super simple and it's something that not a ton of people do, but if you like if you have people that come to your website and then they go off your website, do you have something to capture contact information so that they can reach out to you? Do you have something that uh you have that they would want to give you in contact information in exchange for? So, as an example, if you're like, "Hey, here's a Tennessee moving guide and the weird things that you need to know in Tennessee are like the humidity, the bug, like whatever it is that you want to build that around, right? And you say, "If you give me your email address, I will give you this guide in return. I
will email it to you or whatever, right?" And so that's kind of um the goal is for it to research what the deficiencies are, audit it, and then say, "Hey, this is what I would suggest as your execution strategy. Build a landing page, build this, build that, whatever." And then you iterate it forward. Um,
22:30 Analyze, research and audit first
and so the analyze step is basically what is the problem like is it we talked kind of about where the funnel can kind of leak and is it like do you do not enough people know about you? Do enough people know about you but like as an example I would bet money this would be my leak in the funnel. People know about me. They don't like me enough to do a deal with me, right? And that's because I'm just this is what I do. I'm not like the best at moving people in a direction that I want them to move. I'm pretty good at being like here's good information and that's it. Right? So you want to analyze kind of where you're missing. Like is it in deal? Is it pre-deal? Is it post deal? Like how um
like are you asking for referrals post deal? Are you like all that kind of stuff. And so the the the analysis is like the key in kind of figuring out one, what is the leak? And two, do you even want to fix it? Right? Because there are some things it's like, okay, I could do all this, but is this actually going to get me the result that I want? Maybe, maybe not. I'm going to pause that and we'll do a different one, right? And so then you use the research to you research what it analyzed to say, okay, this is what I'm doing. What are best industry practices? What am I doing better than the industry? What am I doing worse? Where like what does all this look like? So that's kind of the analysis is what you're doing. The
research is kind of what everyone else is doing and then merging it back together and then auditing kind of okay here's the research, here's all the information we have. Here's your business. How does that research impact your business? Right? So it's kind of three steps before we've ever even touched anything. It's all research and analysis right now.
24:27 Create, implement and reuse what works
Then we get to create. So once you have everything audited, you can go then and create the individual assets that you need for the specific things. So, if you have a um let's say you have a deal that's just not quite getting over the hump, they're not like it's a maybe people are moving into Nashville and you you want to send them like that landing page that we talked about to really kind of make it over the top and make sure that they know that you've done your research and they think uh or you want them to to move on that. So, at this point, you just kind of create. So you're saying like this is what I have.
This is my analysis. What is the best thing I can create to get this outcome? Right? Cuz they might say, "Oh, we think you would do well if you created a web page. We think you would do well if you created an email. We think you would do well if you wrote a handwritten letter." Like I've seen AI like suggest handwritten letters. Um, and so the goal is to figure out based on the audit what you can create that is going to impact your business the most and like immediately, right? Because we're no longer in a place where it's like, "Oh, can I try that? Oh, it's going to take a lot of resources." If it's a digital thing to create, it no longer takes that much as it relates to resources to do. Um, so you can test
things really quickly and like build the web page, send it to them, and if they don't like it, then say, "Okay, great. pull it back, make a note of it for next time, ask what they didn't like, ask what would have been more helpful or more useful or maybe why they didn't feel it was the most valuable thing. And then you can just go back and iterate the cycle again, right? And so then you start implementing those uh creations into and so once you create a landing page, you kind of have a base for every other landing page if you like it, right? And so like if you have a landing page that the Perkins and you're like, "This is awesome. They loved it. I love it. Great. You can then say, "Hey, this is my template landing page now that the
Smiths are moving to town. Let's do another one." Except they need this whatever, right? And so you take your client context card and you basically add that, you add the template website and you say, "Make one for this client." And if you have that client context and the existing template, it's a super easy process for it to take two things that it knows that are familiar and turn it into one thing that is new and uh useful, right? The more familiarity we can give an AI for things that are valuable to us, the more likely that it will actually get to value faster.
Right? It's all it's all about um like I've talked about kind of giving examples instead of giving uh samples, right? So give this is an email I sent. I really liked it. It went well. It was toned nicely. Blah blah blah blah blah. This is my writing style. Send it that and it'll kind of identify like oh this is your writing style. Um built and that's the big thing is the big thing is that initial hump to get over to get something that's useful. Once you have it, you can just repurpose it over and over and over again. Um, and so like that's the the landing page thing is one of my favorite things for like clients and stuff like that for like my business because it makes them feel like, "Oh my goodness, you did so much work for this
and I appreciate it." Right. And it's it's almost like the um it's my version of the cat and the dead bird, right? Like I'm bringing them the dead bird and being like, "Hopefully you like it." And they're like, "Oh yeah, it actually turns out this is a Christmas goose. Great." um you know sometimes they don't but it's I feel like people respect the effort even if they don't love the output to some degree.
So it all of the the things that you've done for us and videos on are they on a site like that?
Yeah. So I have like micro landing pages for so like each week has like the slides the video the
they're all together.
It's different. So each one is its own boom boom boom. Yeah. Yeah. And that's like so this like the building these classes is actually the perfect example of how you can take a familiar thing and make it much better much faster. Right? So the the first when I started this I was like I'm not going to do PowerPoint. I'm going to build my own presentation. So that was a mistake. Um it was good. Like I'm glad I did it but I mean I would not do it again. I'd just use PowerPoint and then build up. But um because I was able to build that very useful thing the first time, I literally tell my AI, "Hey, go review all of the classes I've built and now you understand the format. Now you understand the layout, now you
understand the theme, all that stuff. Go build my next class." This class took have the idea, I have the like and it's just like get to work and then you kind of audit it. And the nice thing is that it knows my source material. It knows like what I'm going to teach a little bit. It knows that. And so like there's not a ton of stuff that I need to go back in and be like, "You got this way off base." Now, there are some things like that, but usually then I go back through and I read the prompt that I gave it and I'm like, "Oh, that's my fault. Got it." So I need to communicate differently because it took the way I said this meaning this, right? And it's like that's not at all what I meant. So,
I need to do something differently in my communication to get an output differently. Um, and that's one of the wonderful and terrible things about AI. You know that if you didn't get what you want, it's your fault, right? And that sucks.
Yeah.
31:03 Iterate: say exactly what's wrong
And so, and then the iterate too is that that's probably one of the more useful mindsets is because so many people are like, "Okay, I told the AI to do this thing and it built this and it sucks. Now we're done." Right? now I'm going to go do something else. So if you just think like okay what sucks about it specifically what would you have done differently from the beginning all those and you just start thinking like people communicate in uh bundled language more often than not right and so if I'm like that sucks okay well what does that mean it means the cost is too high it could mean that the colors are off it could mean that the product is not functional sucks can mean a lot of things right none of which are useful unless I
specifically tell you what actually sucks, right? And so this helps with your communication is like, okay, the colors are wrong. The like it it really helps you kind of understand I need to be very specific about my concern with this. I can't just say, "Oh, that's bad. Try again." Right? And so the iteration is one of the bigger phases. And so this is um basically what we are going to solve with today. And so effectively
32:18 Run the loop prompt live
this is kind of an audit prompt that you can run and it will kind of almost interview you a little bit to ideally uh it'll interview you a little bit and figure out kind of okay this is what you're strong at. This is what you're weak at. This is what your business is doing really well right now. This is where your business may have some gaps. Let's audit it and figure out exactly what those gaps are and how we can manage them more effectively. And so basically all you got to do is copy this and I'm going to go to Claude.
I'm going to paste that. And so normally what I would have done is I would have put the problem here. So, I would have said like um not generating new leads for homes or not generating new leads for my listings or whatever it is. And so, it's going to basically analyze this prompt. And then, so yeah, it just said that I need these two. And so, what I can do with that is I am going to say So, that's always something you can do. If you say, "Enter interview me and help me decide," it will start asking you questions that you may not have even thought to ask yourself or that you didn't even know were like options to change, right? Cuz I've had some sessions with it with like the AI where I'm like, "This is what I want to do."
Da da da. and it's like, "Oh, did you know that you could just go here and use this tool to do that?" And it's like, "Oh, no. I didn't even know that tool existed at this point." And so, that's something else that um I always recommend to people. Like, if you're looking for something specific, there's probably a tool for it that's been created at this point. I might the tool might not be good, but it might it might have been created. And the likelihood is that you'll be able to um uh that you'll be able to do everything in like for me personally, I don't think there's a ton of need for anything outside of one of the major foundation models. So Claude, Gemini, Perplexity, uh GPT, um Grok, if you have one of those, you can probably get away without
models here like the um this is the actual Claude app. The models here are highly useful.
35:23 Let the AI interview you
And so you can see it's it's going through it's auditing and it's asking me what um which lever are you trying to pull this week? I have no idea what's actually happening right now. Traffic but no sales. What's the win for this week? First sale or proof, right? And so it's trying to get actual outcomes. Um, and that's something that kind of talking about the difference in employees and AI. That's one of the big differences. Employees are often looking for tasks, not outcomes. AIs want outcomes. So, like if I was going to tell an AI, I would say, "Hey, I want this ad campaign to perform and I want to try to get results up by 10% within the next 3 weeks or whatever it is."
Right? If I'm talking to a human about that, I might say, "Hey, we need to change the creative. we need to ex like I might be more inclined to give them a job description than the outcome that I'm looking for. And that's kind of what I was saying about having people find their dream jobs, right? Like I've been calling it outcome based hiring cuz I'm like what is the outcome that you're going to get me and how are you going to onboard yourself into my company to get that outcome? And that's kind of the the conversation that I have with my employees is like or anyone that I work with like whether it's a subcontractor or someone I'm looking to hire or whatever. Um, but that's definitely one of the big the big things. Um, and yeah,
I like I said, I love the having the AI interview. Um, and I often I need you to do a full audit of my business. Interview me every step of the way and try to find the key things that uh my business is missing. Um, I am looking to try to sell uh mobile home in Missouri to clients today because we have vacancies, right? And so what I love to do is just kind of talk and ramble into the AI and then I'll have it parse my brain dump for me and be like this is valuable, this is signal, this is noise, this is and it just kind of helps be like um I And so like just having the ability to like let your brain dump unfettered and not constrained by typing speed has been
really really helpful. Um especially on those like where it's just like just let it go and see what happens. Um app.
Yeah. Exactly. Yeah. Yeah. And so if you can speak into it and it um it can position the the because it's basically data, right? Like your words are data. And so like if you can speak into it and have your data capture be significantly faster because the constraint is your fingers is so much easier. Um I talk to the AI anytime I can. I try to use voice
Yeah. It's it's it's an insane gain in and the other thing that people don't uh attribute as the gain is that the fact that your fingers can't keep up with your brain in most people, it actually causes you to start losing information because you're plugging in the last idea while your brain's creating the next idea and then you're like, "Oh, what was that idea?" when you get there to record it. And so the the just kind of blabbering it all out there just makes it really really easy to just have your brain catch up the entire time. Like there's no like buffering between the brain and the mouth.
Yeah. Exactly. Exactly. And that's and that's more important than people realize. And so it's still interviewing me about like how to sell a mobile home, right? and I don't need to sell a mobile home right now, but that's kind of the interview. And so, it's going to interview, interview, interview. It's going to ask me questions until it believes it has enough information about my business to give a credible response basically. And that's the most valuable thing in the world to me because that is where you're going from uh like Google basically and asking it things that I know to it teaching you things that you didn't know about your own business, right? or teaching you about tactics or tools or whatever. Um,
42:38 Read the diagnosis, options and plan
so and so yeah, you can see here it's done the whole thing and so it's analyzed the real problem. Your close machine is healthy, but your funnel is starved at the top. Only a handful of humans have ever raised a hand. Zero sales off a handful of leads isn't a broken close motion. It's not enough at bats, right? Okay. And so it's identifying here's the here's the actual problem that you have. Um and so then it's auditing it. And so zero sales off a handful of leads is thin data. I'm not going to declare your close motion broken on that. The defensible read is fixed volume first then judge conversion. Right? So now it's saying like hey by the way the thing that I said earlier don't just go all in on that because it might be
wrong. Right? Which is again that's an upgrade in the intelligence. Um, and then here's what it wants to create. And so this is kind of cool as well. Reframe the offer. No spend. Meaning don't go do everything crazy. Just try to reframe what you're selling in the hopes that maybe the message was the problem, right? And that's going to be the simplest uh solution to fix. And so it's, you know, create a reactivation email and then the highest upside top-of-funnel bliss repost as much as possible. Um, and so and then implement.
So do this today. And so now if I wanted to, what I could do is I could take this, I could copy it, and I could say create an implementation plan and start moving this forward. Create a step-by-step implementation plan, start moving this forward. I paste that in and it's going to actually start building out like, okay, here's the web page, here's the this, here's the that, here are the assets you asked for. Um, it may say like, hey, do you can you send me pictures? Can you send me X, Y, and Z to actually make this better? Um, and so working with it more like a consultant in this way is one of the highest values that I've found to actually get the intelligence out of the intelligence um, rather than just having it be here and
not super accessible and executable to me. Um, but yeah, that's that's kind of the biggest thing. Um, and start implementing We'll see what it does. Um, but yeah, so that's the biggest kind of the biggest unlock. And if you take this process, kind of that interview me process, you can get as narrow as you want. Like you can go to the beginning of that loop and you can say, "Enter me. This is the problem I'm working on." and it will start to kind of push you in a direction where um where it's trying to find holes and actually being a little more adversarial, which is what you want, right? Like you want it to kind of be like, okay, I'm trying to poke holes in the plan here. I'm not just going along with it and everything's hunky dory,
right? And so that's the biggest Yeah. And so it's going to start building assets and putting it in a folder and like actually doing um the building of it. Uh
46:12 When you don't trust the plan
just thinking think kind of out loud here.
I've got a little bit of trust issue
for sure.
Yep.
And it's so quick to get to All right. Here's the outcome.
Yep.
And most of the time it's not something that I have recognized or thought of before. Yep.
It takes me some time to actually sit with it and to think, okay, is this is this
100%.
Right. Is this actually work? Is this going to give me actually what what I want?
Yep.
And then like there's that there's that lag time there for me. It's already being sentinc fully knows, but at the same time, it's telling me if you Five grand on these.
Yep. Yep.
What people have and then I go to try to all right, help me build this and it looks terrible.
Yep. Yep. Yep.
All right. So, if this was your idea and this is what this looks like, how I I can't trust it.
Right. The so one of the best things to do with that is once you get the output take that um like copy the output take it to a fresh chat window and h prompt it um it's called adversarial prompting so you'll basically take AIs tend to favor their own creation right and so if you create it and you ask in that same chat window audit this like tear it apart whatever it's going to be like oh you did pretty good job cuz it is me like it's going to kind of do that, right? And so if you take it to a fresh chat window and you're like, "Hey, uh, AI made this tool for me. I need you to pick it apart and tell me everything wrong. Identify all the problems.
Uh, like show no mercy. Go all in on trying to destroy this idea." Often times it will and you're like, "Okay, well that work that worked." And then you can and basically what you can do is you can take that conversation back to the other AI and say, "Well, what about this?" And then you just kind of eventually between the two things that are, you know, the the smartest of the like whenever I'm talking with AI, the AI is always the smarter of the things in the conversation, right? And so I take the AI, I take the AI, and I just have them debate themselves and I'm like, I'm just here to proctor and make sure that you're actually doing what I want you to do, right? And so it's like it's it's very similar to having two
employees that are much smarter than you in a a subject that you're maybe don't have a deep expertise on and just being like I know my business. I know the solution you're saying doesn't work for my business, right? And so you have to like your goal is to understand your business so well that regardless of what expert comes in including the AI you can be like I know that that solution does not work for my business or saying like I didn't even know that was a solution.
Let's go figure out if that actually is a real solution for my business.
And and that's the big thing is just being able to call it and be like no I'm not spending $5,000. I need uh free solutions or um you said that you could do this. The visuals that you created are absolutely horrible. Go do research on best principles for creating high-quality visuals and like you can h you can have it go educate itself and come back to the chat as well, right? So you can say like, hey, this is garbage. These are people that I respect in the know, these people and then come back to me with things that are more in line with what they say best practices are.
And like always trying to get it to search for like scientific papers, provide citations, provide links, those things cuz then like you can go to the link and you can be like this is a dead link. Why did you even send this? Right? it's really positioning it as more of like a consultant that you have to verify just like with any consultant, right? and verifying that the outputs are one accurate and useful, but two accurate and useful for your business. Because that's the thing that a lot of people miss is like like for me if it was like, hey, you just need to get out there and go to parties, I'm going to tell it, no, that's not at all what I need to do. I know me better than you, right? And like if I go to parties, I'm
just going to stand in the middle of the room with a drink. That doesn't sound like a great time to me. So, I need to figure out a different way to get get leads or do whatever, right? And so knowing yourself, knowing your business is the only thing that separate or one of the only things that has the ability to separate the quality of solutions at this point because the solutions it'll come up with really great solutions. It's just do I have the resources, the knowledge, the whatever is required to execute those and then you just keep giving it guardrails. You're like, you know, it's like okay, well, I don't know how to code. I don't have $5,000 and I have 10 days to do this. These are your constraints. and then it'll come back
with a new solution and then you just keep repeating that until you're like wait a second this might work and then you try it and works great. You kind of add that to your template library of useful things and if it doesn't you throw it out and just go back into the loop. And that's the thing with with loops is the if you're consistently looking at it like it's a never- ending process of just doing this, you'll continue to you're a for me it helps me build on things long term because it forces you to understand that the gratification of something useful could be delayed significantly. Right? Whereas I don't want to just like if I go and I create something and it's great. Doesn't happen often but when it does I'm like harrah.
But oftentimes um one there's something that I missed on the front end. But but two the majority of times it's here's where I'm starting. Here's the loop. Okay, that's better. Here's the loop. Okay, that's better. Here's the loop. Okay, now we have something really good. But the loop doesn't stop there because then it, you know, it could come back later and I could be like, "Oh, I can add this." Like it's constantly just gathering knowledge and then adding that to what you're doing. And the cool thing about the AI is it can it can add at any phase. So anytime you learn something new and you're like, "Oh, this is really cool. I can apply this to this project back here." You can take it to the AI and be like, "Hey, I just learned this.
Is this relevant for the project I'm working on?" and it can do it. That's from like more of like a coding, like actually building stuff um mentality. But it works also for like flyers. Um like I said, landing pages, emails. Um
54:26 Track results and cut what fails
something that's really nice is you can build your own QR codes with what they like let's say you have a flyer at an open house and you have a UTM QR code on that flyer. If someone goes and scans it, you know that the place they scan that QR code was from the flyer that was in that house, right? And so you know now that flyer wasn't, you know, posted on a grocery store billboard. It wasn't posted here. It wasn't posted there. It was the flyer from the house. And so now you have direct tracking where you're like, "Hey, none of these flyers have been getting scanned in the house. I should either stop doing flyers or I need to do something different with the flyers to actually get them to," right?
And so you're constantly evaluating those data points and how you can use them. And the AI gives you the ability to get better data, right? And so if you can know this QR code will tell me if someone scanned it, this QR code will tell me if someone scanned it. Now it's not one QR code that's going to the same place. It's two QR codes that are giving me tracking data, right? So like now I know, oh, everyone at the open house is scanning these QR codes. No one outside of it is. I only need the flyers at the open house, right? And so now you saved yourself a bunch of work and a bunch of printing and all the stuff that comes with it, right? And so a lot of people think the AI is only useful for adding things. I find
it's very useful for subtracting based on the data as well. Like I'm very much an eliminator. Like if I don't have to do it, get gone. I don't want to do it. And so like that's that's one of the key things is having the ability to get better data. But yeah, that's pretty much all I got. Oh, see it even made a little spreadsheet for me. Look at that. So, but that's and so now it's saying like this is a tool that I've built for you to go test and I'll if I had a need for this, I would go test it. I I actually might do something with this. But if I had a need for it, I would go test it and I would see, okay, does this work?
Does it not work? What works? What doesn't work? And then what I can do is uh if I after I have data in that, I can just upload the spreadsheet back into the AI and be like, hey, I've got data now. What do we do next? Interview me. let's find out. And it could say like, "Hey, remember when I said that your leads were light and we needed more data to make sure you weren't converting well? Great. Well, we found the data. You're not converting well. Like, this is what we need to change." Or, "Hey, you are actually converting better than we thought. You know, you just didn't do XY. You just weren't tracking it or like whatever the case is." And so, that's yeah, that's really where it's at. And so that's a little useful spreadsheet
tool that's um going to basically figure out our funnel stages, right? And so if we fill this in manually, these are the stages of our funnel. And so that should give us better insight to are we getting views to inquiries? Are we going inquiries to showing? Like where in the funnel are we losing people? Um, like as funnel leaks. And so it's very very uh and like you start to see it when like when you see when you do this stuff you start to see it in your own daily life too like oh this is really good I can take this or oh this is terrible I want to make sure I'm not making these mistakes right and so that's one of the key ways that I use AI to like just like audit my business is hey this is what
I'm going going through this is my constraint this is like help me out and then I just have it keep interviewing me I keep giving it more details And like I said, usually eventually it ends up with something that is at minimum a first step. And that's where a lot of people kind of struggle is getting to like what is the next actionable step, right? Like I have all these problems, but they're big problems and I can't break them down small enough so that I can go, okay, I'm now one step closer to solving it, right? And that's what the AI is really really useful for, especially for like building landing pages, which most real estate people just don't have the technical capacity to do. Right now, you can as long as you understand what a
good landing page looks like. And so that's something else that I always tell people is you're always inputting data in taking data as well. So if you go to a website and you're like, "This experience was really clean. This was really good." Da da da. Save that link somewhere so that you can give it to your AI to go and take the features from it, right? Like at this point do you understand your business and do you understand what is appealing to your customers? Right? Because the taste that you have for website style stuff like that might be great but it might not be
attracting your customers. So it might that, right? But as long as you can get a baseline, you can just keep iterating forward and iterating forward and eventually you have something really useful. Like if I were to go look at my old projects, I would be so embarrassed. Like if I could see before I did all the updates and whatever, right? Um and that's good because if I wasn't, I would be failing because if I am looking at things from a year ago and being like, "Yeah, nailed it. That I'm not getting better at this point." And and that's not to say the elite of the elite can do that. I'm not there. So I'm like, "Okay, got to get better. Got to get better."
Right? And so if I'm not looking at that stuff and being like, "Oo, gross." Like there's a problem. And I feel like that's a major that's the way a majority of people should feel about their creations. Um when they when you go into a new space. But yeah, that's that's kind of it. It's it's just interview it.
1:02:14 Run the loop on any problem
try to get to that starting of the loop and then just enter the loop and say like, I'm working on my finances today. What do I do? I'm working on um customer retention. I'm working on making sure I get more referrals after the sale. whatever it is that you want to work on, just enter a kind of an interview loop and just analyze your business, understand your context, and understanding your business than just understanding the AI. And like understanding how you can help your customers because that's the thing that the AI AI doesn't get it.
citations. They're not using industry best practices. They're not approaching it with any reasonable context. They're approaching it with, well, how much is my house worth? Okay. Well, the ChatGPT is going to potentially find a lot of things that could give you bad information. And that again goes back to
1:03:18 Bring up AI with clients early
like my personal belief is intervene as early as you can with the AI. Like the second you can bring it up, the better because even if they're not going to use it, great. That's fine. If they say, "Hey, we're we're just going to have AI set this one out. I'm a private person. I don't want to do it." Okay, great. We don't have to use AI. Cool. But now at least they know that you've you understand it. you've approached the subject and that you're comfortable with however they want to manage it using AI because I like honestly I think one of the worst things that can happen to a a real estate agent right now is they say hey I got this from ChatGPT because it's such a fight immediately thereafter it the answer hardens in their mind like
it's just the biggest nightmare if you're not like hey but where did ChatGPT get the information right that's the best question to ask when someone brings you ChatGPT and Where did ChatGPT get this information? Okay, great. Here like let's talk about how we do citations, how we do linking, how we audit the quality, all that kind of stuff. And then now you're right back to a position of I I understand AI. I'm the authority in moving from A to B, right? Because the second you're not the authority, they're looking elsewhere for authority. Everybody does. Like everybody's looking for like whenever someone doesn't know anything I think just humans psychologically they start to feel inadequate and they look for someone to know it so that they can be like I know it cuz he knows it right and
that's kind of the the thing that makes it easy is if you position yourself as an authority because you've done the preparation to understand how to use an AI to help this transaction and also how to prevent uh the AI from going super rogue on them because that's something that cuz they they're not most people aren't doing classes like this and stuff like that. So they don't even know that the AI is like oh yeah the AI is an aggressive liar. What? It's not 100% true. They don't you know like they don't audit that. No no that's your job.
And so like most people it's just it's it's just like they want the intelligence to be they want so badly for the intelligence to be right that they're willing to put way too much faith in it. So,
and it's a default in our brain. Saw it on the computer. I read it in a book. Saw it on the news.
Yep.
You're wrong.
Yeah. Exactly.
That's right.
Yeah. And that's one one of the things I really look for is like where uh because life is mostly pattern matching, right? Like if you are decent at pattern matching, you can do a lot of things and you can solve a lot of problems because they present themselves just in different clothing. And if you can see the foundational pattern of like, hey, the OODA loop allows me to iterate through almost any problem solving cycle, like that's where you start to really unlock it.
