Episode Transcript
[00:00:00] Speaker A: Welcome to AllView360 all things real Estate Podcast. With your hosts Daniel Gutierrez and Shannon Dempsey, we explore real estate from every angle, giving you insights, tools and confidence to make smart decisions that support your future. It's time for a new perspective on property. Welcome to AllView360.
Hi, Daniel.
[00:00:20] Speaker B: Good morning, Shannon.
[00:00:21] Speaker A: Very excited for today.
I've established that I will definitely be learning more than contributing today, which is very exciting. Do you want to introduce your friend, an AI extraordinaire?
[00:00:33] Speaker B: Yes. So I think I'll be learning as much. Selfishly, we brought him on this podcast so we could learn. Feel like every day I talk to
[00:00:40] Speaker C: him, I learn more and more and
[00:00:41] Speaker B: more and this is an insane topic, an insane space, and Brian is the best, hands down. So Brian is the founder and CEO of baytech Consulting. They are a software development company primarily focusing on the finance, healthcare and manufacturing industries, but know so much more about all industries and has an extensive experience within real estate, mortgage industry loans and is just an absolute leader in this space. So thank you, Brian, for being on today with us and I can assure you and everyone that's listening, they're in for a treat and a lot of experience and education in regards to AI and how it applies to real estate right now.
[00:01:20] Speaker C: Well, thanks for having me, Shannon and Daniel. I'm happy to be here and hopefully shed light on anything AI related or technology related and happy to participate.
[00:01:31] Speaker A: Amazing. How do you guys. How do you know each other?
[00:01:34] Speaker B: We're in EO together, so we're in a forum together in eo, that's Entrepreneurs Organization. I think we've chatted about it a few times on the podcast.
[00:01:43] Speaker C: Very excited to have Dan. We've been in IT for almost four years now. Yeah, we have a great crew of entrepreneurs and you know, my life has definitely been enhanced by having Daniel in it, so I definitely appreciate it.
[00:01:54] Speaker B: Likewise.
[00:01:55] Speaker A: So nice.
[00:01:56] Speaker B: And then on the Culture Index perspective, Brian and I are very similar. He's a little bit nicer than me and a little less intense, but still very intense and just an absolute badass
[00:02:06] Speaker C: in everything he does that I wasn't as intense. I think we were competing on the intensity and like half a percentage or whatever winnings winning.
[00:02:17] Speaker A: I just got a little nervous.
Well, just be less intense over here.
[00:02:22] Speaker B: But beyond the Culture Index, Brian is also an incredible human being.
Super technical, but has a unique ability to make technical things very easy to understand and also very easy to implement, which, as so many of us know, especially within the real estate space is moving quickly. AI is changing the game, but it's also very difficult to understand. The majority of us are more familiar with White Claw than we are with openclaw.
So bringing Brian on to be able to help us understand what that landscape looks like and how it's changing the game, but also how we could better implement it into our day to day practice to help our business, our clients, and really be able to hopefully not even keep up, but keep, keep ahead of the game and what we're doing.
[00:03:07] Speaker A: Is it even possible to keep up with how fast it's moving? I feel like once I grasp one thing, it's something else right around the corner.
[00:03:14] Speaker C: It's so true, you know, I, you know, for us as well. So, you know, software development shifted in the last three, four years dramatically. I was reading a podcast, or I forget the gentleman who brought it out, but the different ages of software, originally it was about devices and technology to do. It wasn't what you saw in business applications, it was more machines, think the space shuttle. And then we went into business applications, they called it the second age. And now we're in the third age, which is AI. And AI is moving at light speed.
Specifically over, I would say over the last year too, it has moved even faster. You know, when they came out with the models and you were on ChatGPT and you asked it a bunch of questions, it was great, right? And it did, it did a lot. It answered a lot of questions for you. One of the things it did for the technology industry and me specifically was I know a lot about a lot of different topics, right? But I can't remember every detail about every individual piece of software and how it operates. But AI can and did. So imagine you did a technology five years prior and you're like, okay, I know this could solve it, but you know, in the past, what you'd have to do is go pick up a manual, go look at the docs online. You'd have to go, okay, now I'm going to operate and adjust this piece of software with these settings. Well, what AI did was I could just ask it and it goes, oh, yeah, this is how you have to do it. So, so for people that had a large breadth of knowledge on networking, you know, software development, different systems that were out there, right, that had a lot of experience, it, it made you a lot more effective, right? And it took the kind of, the fear away. Okay, well, I haven't worked on that in five years. Am I going to work on it now? Well, yeah, I know exactly what it can do. But I forgot all the details of operationalizing it or of doing the. It's not always coding in our industry either, right? You're. You're dealing with systems and configurations, integrations that are, that aren't necessarily where you're going to code, but you need to remember how it actually worked and AI just put it right at your fingertips. Recently though, now it's, you know, automating a lot of what you do. Right. So when it comes down to building an application and you know, I'm curious to see how far it goes, but I mean, you guys have seen it with the lovables and the replits of the world and cloud code itself now is. I think they're going to start releasing it to where you can build that app and not need lovable or replit, build it and then even deploy it on Claude's infrastructure.
[00:05:40] Speaker B: With that being said, Brian, something I didn't do and I apologize. Can you tell us a little bit about you and your company so we could get understanding of that basis and then from there go on. And I want to start on the conversation we had while on the train down to San Diego where you guys taught me that I could launch a website, company and application with a short prompt that I didn't even make myself from my cell phone while driving, while on a train. But starting for that, a little bit about you and your company, please.
[00:06:06] Speaker A: I just learned who we have to blame for some of your excitement and fast moving.
[00:06:12] Speaker C: Oh sure, Brian. It's your fault, Brian. So yeah, Founder and CEO of a tech consulting. Now we're a software development company.
We've definitely shifted, you know, to instead of just typing code as a team of developers to, you know, using AI to produced software and technology for our clients. Right. And if the charter or the mission statement really hasn't changed, it's to improve, you know, improve the lives of our customers and make them operate more efficiently and effectively. You know, when it comes down to automation or systems that you know that they need to run their business, you know, our team is designed to do that. So like in property management, if you needed something where you know, you wanted to communicate, you know, have a system or a platform that, which I think there already are a ton of these that do this and I'm sure you're operating them, but your clients who you're doing property management on a way to communicate exactly what's happening with their property, right. Through devices, through customer service, through, you know, financial information, we would be able to build that from scratch. You Know, a company like ours, we've built systems for mortgage companies like, you know, Cash Call and New American, New American Funding, where it did everything from marketing to CRM management, customer lead marketing and management, so. And many other different types of companies. So that's kind of what we do. And then your question was you were on. We were on the way to San Diego. Right. And I think, I believe this was. We were using Versal. So Versal is one of the technologies that are out there and you were thinking about starting, I think was, was it the service not servicing the construction. Yeah, construction. Yeah, construction company.
[00:07:46] Speaker A: Oh, he did, Brian, and he did it quickly and I'm guessing this is part of this conversation.
[00:07:51] Speaker C: Yeah. So the construction company, there's a lot. So I don't remember exactly which one. And there's a lot of different platforms. That one, particularly at the moment. Vercel was the best at the time and they're still really good. But you know, there's a lot of competition out there and Google's come out with a bunch of them. You know, Figma has them. I would still argue Vercel is probably the best at building a, you know, front end website in a short period of time and make it look professional. And within a few prompts you just tell it what you're asking for. It's going to use AI, build it and then deploy it on their platform. And the platform's really good too. That's another thing cloud's doing right now is taking out the cloud flares and Versals. That might be too technical.
[00:08:25] Speaker B: Yeah, but for the application component of it, not the application as an app, but for the average everyday user. Shannon, remember when you wanted to rebuild your website, you would go and you'd pay these web developers thousands of dollars a month to build it, host it and update it accordingly. Now, and I didn't even make the prompts. Brian, remember you told me to have, I think it was chatgpt on deep research everything make the prompts I copy and paste into V0. It built me a website, a beautiful website, live within 30 minutes where it would have taken, you know, weeks and thousands of thousands of dollars previously. Now that all of that technology is every single realtor, broker, contractor, property manager's fingertips.
[00:09:09] Speaker A: And when we're saying like looks professional, beautiful, is it, it's just kind of the surprise that it happens so quickly that it looks that way or it is professional and beautiful and equivalent to if it had been built out.
[00:09:21] Speaker C: I mean you can argue that even superior to a lot of you know, what was it, the radiologist? There was a story about AI being able to read a radi, you know, a scan. This is something you know a lot about. And they were about 85 or something like that percent accurate. Well, that are above 85% of the radio radiologists out there. So if you think about it from an AI perspective on building your website, you know there's a lot of different companies that have a lot varying different degrees of quality of that what they would produce right. Prior to AI. So yeah, it's, in my opinion it's, you get really far, really fast. The more you put into AI, the more you'll get out. Right. So if you have more contacts, do more research and they, and you know about, you obviously are going to know about your company and the more you feed it, the better the outcome's going to be.
[00:10:08] Speaker B: So but on top of that, the more you feed it, the better the outcome is. But I remember even working with you on the blog writing software that you developed.
I mean it was a game changer. And Shannon put a perspective.
The majority of the blogs that are been on the company side for the last year or so, that was developed through Brian's platform and Brian's technology that implements all new types of AI, not just one, but multiple, to be able to create really well written blogs that don't sound like AI, they sound like a real human, generate images and post it really within seconds.
[00:10:45] Speaker C: And that was interesting technology and the reason why, you know, there's a lot of them out there, you guys, you can shake a fist and see a blog writing firm out there. And technology, I mean you can do it right within cloud, cowork or there's a lot out there. Now at the particular time, this was probably April of last year for my industry there really wasn't a great option. So for me I wanted to have, you know, when we post something I want it to be really well researched and then I also want the graphics to have a certain quality and the charts to have a certain quality and it just didn't exist out there. One of the issues at the time and actually still exists is when you're using ChatGPT or Claude, there's been a cap on its output. Right. So I usually have larger in depth articles and there's a cap of like 2,000 tokens. Right. Well if you have a blog that's a large one, that's heavily researched, it stops. Right. So that's why you'll see a lot of the blog tools out there stop on a certain size. So I developed a process to make a really heavily researched, high quality article. I think that's what Sven's talking about.
[00:11:46] Speaker B: But beyond that, I mean, it sounded incredible. The graphics were built in and then you were able to post it really quickly.
None of this was, was even possible for. You'd have multiple people writing the blog, doing the graphics, sending it to the web developer, putting it in. I mean, it's been a game changer. And something I do want to touch on and something that I think that you've always been really good on is SEO in the past and now AIO and being able to keep ahead of that because that is such an important factor for all of our industries. But can you touch on kind of that evolution and what people can expect and how they can stay on top of the game?
[00:12:19] Speaker C: You know, AIO is where you're, if anybody is not aware yet is when you go into a search engine, Google, it has obviously AI results at the bottom of it. And you type in, say, I want a property managed firm or the best property management firm or the firm that's near me. Right? That's one way. And then what comes up in that results? What comes up in that results is a factor of the AI engine itself. So if it's Google or it's Claude or if it's OpenAI, they either do a search and then they find that information. So SEO still is a factor, right? So it's going to still use some sort of search in there. So the same types of processes still apply. What is the intent of that person when they're actually searching for it? So like I'll use my industry, you know, how do I develop something in net, right? It's a technology. Well, that person isn't necessarily looking for a software developer to help them build it. They're looking on how to do it themselves. So there's two types of, you know, searches, you know, intents behind that person. Either it's commercial intent, somebody wants to use a property manager, or it's somebody who wants to learn about property management. I think both are still viable. And let me tell you why. Informational ones, right? Where you're talking about, you know, property management and how to do it well, and having somebody say, hey, I need a property manager, those are two different types of intents. And I think they're still, they're still important.
And blogging is still important, at least as of today. Because here's what will happen. Imagine you go into a chat bot, any of the ones that are out there and you start saying, okay, hey, how do I do this? And at the end you go, you decide after reading through all of it that you do want somebody that if you have informational blogs that came up as a result, prior to them asking that question, your name will be in there. So that's an informational attempt. So if you provide good information to the Internet, it's going to inject you into that answer. And then at the end they might ask the question. So they might ask the question like hey, give me the best one in my area. And then that also if you want to be in that, there's another tactic to do that. And I don't know if we guys want to go through the tactics of
[00:14:21] Speaker B: that, but yeah, let's do it.
[00:14:23] Speaker A: I mean I want to go through the tactics.
[00:14:24] Speaker B: But even for what, regardless of its property management, but especially even Realtors is such a hard specialty to be ranking for SEO or aio. And I know Shannon's really been on top of this and trying to maximize her aio, but yeah, learning about it would be hugely valuable.
[00:14:40] Speaker A: Yeah. Cause I'm not good at it. And just real quick for perspective on that, in the real estate industry specifically, there's a lot going on with the different platforms that people typically search for homes on. Some are being restrictive, they're kind of eliminating their inventory in this data war that they're having and all that. To say I think a lot of it's going to start leading towards instead of going to the typical platforms to search for a home, I think people are going to start searching in whatever chat AI scenario that they're looking in. So now it's becoming more relevant to specifically do the property descriptions about your clients homes in a way that will pull, you know, what that person's searching for into their search. And it's something that property descriptions were important before, but now I think they're going to be one of the most important marketing tools. And I think it's incredibly important for the agents to understand what they need to be putting in those property descriptions to get their clients homes out there more. So that's kind of a shift in our industry AI and just what's happening in our industry in general.
[00:15:43] Speaker B: And didn't you have seller reach out to you because you were the only agent that came up on.
[00:15:48] Speaker A: That's the other. Yeah, the clients are starting to look for their agent on ChatGPT, on Claude and. And if your online presence isn't shooting you into that mix, even if you're the top agent in that particular neighborhood zip code, and you don't have it dialed in on the back end. You're, you're missing all of those potential clients, and then they're missing, you know, possibly getting a really good agent. There could be a crappy agent that has really good online presence and they're going to pop up as the number one person.
[00:16:16] Speaker C: And just so you guys know how AI does it is. And so you're, let's say you're in, you know, one of these AI tools and you start asking a question, it's going to then go out and search. It will reformat your question to, you know, something more normalized. Let's say you chicken scratch something in there, it's going to fix that, then it's going to do the search and that's where SEO is going to come and come into play. So you don't have, you know, exact control because AI is going to take what you're asking, reformat it, and try to figure out your intent and then search for it. So again, that goes back to two different things. So it's informational, I think still helps. And let me kind of go back just one more step. Informational and commercial blogs, right? So commercial intent blogs or commercial intent pages. A commercial intent page is something where again, hey, I want a property manager or I want a realtor, you build from an SEO perspective pages that will capture that traffic, right? So you have inbound links for it. It's standard SEO practices. I don't know if you guys want me to go through all that. But basically the standard SEO where you're trying to rank for that keyword, you're trying to get other websites to provide authority for those keywords. So that's that intent that still matters. Because when you're in AI and you ask that question, it's going to then search that same question or reformat it potentially in a way, and then go to Google or go to some of the tools that it does to search the Internet to provide that information back if they start to do things like what is the best, right? Because that's kind of where it went, right? So before.
And people did this too. So you would see this too, where people say, hey, give me the best realtor in my area. So you still need to rank for that if you want to come up in that result. The other thing I wanted to jump back to was informational. That's what I was trying to get to. Informational is still big because what if you provide a very in depth Article, right? So imagine you have a call it, you know, three times the size of a normal blog and has stats in there. And it's really a well written blog about, you know, real estate or property management, what will end up happening. And this happened to us when we did this in April of last year. We went from 200 inbound links to almost 1000 inbound links with this strategy that I'm talking about right now, which is in depth, comprehensive articles that provide a lot of detail, which sometimes people won't read because obviously it's big. People want the quick Twitter response. But other people that create articles will then use your content and link to you. So a lot of the blog tools that are out there today, what they do is they research and if they see a big chunk of information like from Baytech about Claude code or something, it will look at that and go, okay, that's comprehensive. It will then create a link back to you on their blog. Because what they want to do is they want to cite the source that they got that information from.
So that's the informational link building. And that link building will increase your whole site's visibility in all AI. So it kind of begets itself.
So that's the informational side, which then builds your authority, so it builds your SEO up dramatically. We went week 20x star inbound traffic. Now a lot of that was informational. A lot of it's AI trying to search our content. But then they also, when they go to AI, we get a link back from that. Then when it comes down to commercial intent, which is, hey, I want the best person out there, that's a different strategy than what I just described. You now need to have multiple articles out there with you being the best in that article. So usually that comes down to like paid placements. And you could then come up like right now, if you said, you know best, probably try it right now, best vibe, you know, engineers in Orange County. I think we're going to come up, right?
[00:19:47] Speaker A: I'm going to try it.
[00:19:48] Speaker C: So we'll come up in that list. So we're trying that now. But now you're only attacking that one word, right? Or that one phrase inside that. So the other thing too is that only lasts so long because other people will start to put up more articles and it goes for recent articles. But. And that's kind of the strategy with search. You know, aeo, a lot is not known for that right now. Meaning it's, it's not known exactly the effect of this. I've heard of ones that people are using AEO effectively and getting, you know, a closed deal on it, or they're getting a, a client for real estate on it. But it's still, you know, there's a little bit of magic behind there. Right, so it reframes your question and then what, what are those questions? Did that search that correct article and then did it pop an actual link to your site? The other problem that's out there too, is that let's say you find it in there. They don't always have a link back to your site and you can't track it well, so that doesn't mean don't do this, but the tracking is harder. Right? So let's say I have the best 5 coder. It puts our name in there, but it doesn't actually put a link back to us. Different AIs do some, some do, some don't, depending on how they wrote it. So what people do is they'll paste our name a tech consulting, put it in a browser and then find us that way. But we're not tracking that, so we don't know that it came from that. So tracking AEO is hard, but it's still a viable strategy. Go ahead.
[00:21:06] Speaker B: But at the end of the day, you're doing it all. The reality is you have to do it all and you're not always going to know where it's coming from. But in order to be on top of the game, you have to do it all. You have to have that continuity. Everywhere someone looks, whether it's through Yelp, Google, Claude, ChatGPT, what they find needs to be excellent. And that whole process, from them first searching to finding you, to deciding to work with you, all of that needs to be seamless, excellent, reducing as much friction as possible.
[00:21:34] Speaker C: It's 100%. You know, in our industry, I think what's like 15, 16, 17 times before they actually make a decision to contact, you know, a company like ours, I don't know if it's the same way with a realtor, probably something similar. So if you're in all the searches, you're in all the different places that realtors need to market in and they, you know, 100%.
[00:21:52] Speaker B: So that being said, there's a lot going on here. One of the things I've heard is that people are really opposed to being sold with AI and having everything be AI. And I've heard that from enough people too. I believe it. But could you touch on that in regards to like AI generated content, videos, and how is that working? And at what point do you need to be a human and have a human to human interaction?
[00:22:15] Speaker C: You know, I don't know if I know the answer to this question, but I can tell you my opinion.
I had the same opinion. So like a blog, Am I going to read a blog from AI? Well, if you think about it at the beginning, I think a lot of people had that same opinion. Like, okay, I want to read from a real person.
But we're also using ChatGPT, we're also using Gemini to ask it a question, which is the AI doing it. So, you know, when it comes down to like for us specifically the informational content, I had a particular topic that I thought was relevant for that time period.
[00:22:44] Speaker B: Right.
[00:22:44] Speaker C: So let's say it was an article last week, right? You know, I'm looking at the news of the day and then I want to do a comprehensive article, something that I will read. And I think if you take that approach from a real estate perspective or from a property management perspective or any perspective, hey, this is what interests me. But I wanted to get more in depth about it. AI is going to do a great job. So back to the real the question. Are people going to consume, you know, AI content? I think they are. I think at the beginning it was kind of like, oh, you know, I don't like it. You know, if you're doing it, you know you're cheating. Right. But it's gotten to so prolific that, that I mean, you don't have really have a choice. I don't know what percentage it is of the Internet that is using AI, but I think it's big.
So then it comes down to what's the intent of the person that's producing that content and what's the quality of that content that they're producing. That's kind of how I see it. I think it's out there, it's happening. I don't think you can fight the wave.
[00:23:38] Speaker B: Can you give us a little bit of a breakdown in regards to what the landscape looks like right now? Because there's so many different tools and so many different names, it gets confusing. But could you give us a breakdown of that landscape and a little bit of information into each of those different
[00:23:48] Speaker C: platforms for real estate professionals? There's a lot of different tools out there. I think the big one that came on was openclaw. I think the fad, the stats that I'm seeing or what I'm seeing from people in my industry is the fad of that is kind of dying down and they're increasingly gaining competition from big players. Right. So you have cloud, you have perplexity. OpenAI even Google I think is doing something related to something that's going to compete against hopeful client. I think it's out also Microsoft.
[00:24:18] Speaker B: So what is openclaw? Because we, we know White Claw. But what is openclaw?
[00:24:21] Speaker C: So openclaw is a tool where you can, it's actually challenging to set up. So that's why a lot of people are having some issues with it. I would say it's really built for somebody that's highly technical. They're making it kind of easier. There's some people that have built websites and built easier ways to get it up and running. But it's a tool that you connect agents, AI agents to your systems. Right. So let's say you log onto it, you get it configured and you want to connect it to all your emails and all your calendar information. So that's kind of one of the first use cases that I've seen out there is I wanted to read every email that that comes in and then respond to it. Right. Or I wanted to. One of the stories I had which was really great was my brother's daughter, actually my brother's son's girlfriend. Anyway, her dad works in a the media industry, does like big multi billion dollar homes and does all the media for it. And he created an opencloth email responding, kind of like an agent that responded like he would respond. So he put all the information in. It's pretty easy to set up. You just basically give it a bunch of information and you tell it what you want it to do. So what, what, what the cool story was this. So his daughter wanted to get her paper done for college, which is a whole nother subject we could talk about. But anyway, she's like a 5.9 student. Amazing. She just couldn't do it in the timeframe and she called her dad and said okay, hey, you know, I want to, can I use your AI to do it? And he goes yeah, no problem. So she sends an email to the AI to create the, create the report for. Then it sends him an email saying hey, do you know what your daughter's doing? Is that so it's just okay if I do this? And then he responded, yes.
Yeah, so that was a pretty cool story.
My personal experience with OpenClaw, it's a little different. Like I did investigate a lot of entrepreneurs and yo were asking me about it. So I finally ended up pulling out. I waited a little bit because there was a lot of News about malicious software in it, which is a. I don't know if it's today because I stopped using it, but at the time it was like 20 to 30% of the tools and skills within OpenClaw had malicious code. And when I used it, I was going to connect. We use Office 365 or Microsoft technology for our emails. I was going to actually use one of the skills to, you know, check my emails. And I scanned the code myself and I saw in there where they were logging people's authentication codes to a server and I'm like, okay, well I didn't use that, obviously, I created my own. Which is.
[00:26:37] Speaker A: What would that mean? Malicious? What is that? What's an example of that?
[00:26:41] Speaker C: Yeah, so 20 to 30% of the skills on Open Cloud. So what? In Open Cloud you can say, hey, I want you to connect to Gmail, I want you to connect to Slack, I want to connect to teams. So you have these skills that will allow you to do it. So when you're in IT and you're chatting with and say, hey, create me an email agent that listens to all my emails. Well, before you do that, it's got to connect to your email and you got to give your credentials. So you're giving it these credentials that have access to all your calendars, all your emails or whatever it is that you're giving it to your Google Docs, your Microsoft documents. So you're authorizing on your behalf this agent to do this work. So in the instance that I was working on, there was a skill for it that a lot of people used. It was top on the chart, but in it, it logged out your token. So now it logged the token, so your security token to somebody else that can get into your information.
So that would. There's a lot in there. So OpenClaw can do a lot. And it can do things like, I've seen a lot of different tools on there, you know, videos of people that were doing openclaw. And one of the use cases was, okay, listen to all this information, gather all this information and then create me an estimate. So a lot of people were building estimate software where they would connect to their systems and say, because estimates sometimes take a long time. For us, they did, they still do, actually. We did build an AI automation tool to do to help us with a lot of that. But so they would build it and then it would produce some report. One of the things I would say about the Open Claw, what I see is that, you know, as a software developer, you can build A much better system. So this is one of the benefits of being a software developer is that even though you can do some of this stuff in openclaw, if you have an engineer do it for you, they know how to manipulate these systems and they can read the code that gets created because it creates code for you, these agents, it creates code for you. And some of the tools that I've seen that people make, um, actually the one that I did make was an autoresponder. I did an agent autoresponder. You know, it didn't feel right. Right. So one of the things that it built was I built an Autoresponder for form EO. This is one of the tools for EO. I built one in there for OpenClaw, and it did it. But what it did is it generated a ton of token usage. Probably like $50 a day just listening to, you know, emails and responding to them. I won't get into the details that much, but I said this one of one of my friends in eo, actually one of Gary, who got me into eo, he goes, you know, you can just write this better. I'm like, yeah, but I'm trying to figure out a local.
So I agreed with them and then I built my own. And so I built my own that has a full dashboard. Like you can see all the emails that came in autoresponded to it. I built the brain inside of it. So that's an example of if you're a software developer and you know how to build software like this, in general, it's far better to do it that way. And openclaw just burnt through a lot of tokens. And it does it in the background a lot of times. I mean, you can have a build UI too, but in general it just does it in the background and you don't know, it's like magic, what's happening. Right? So the control over it and the amount of tokens that it burns on a daily basis, I think it's going to be hard for a normal user to regulate that or to control that there are ways you can do it. So anybody out there that has done this, they, they can say, hey, don't, you know, there's ways to mitigate that, but you have to be really technical to, you know, fix that. Okay, so that's openclaw. I don't know if I answered all the Questions related to OpenCall, but go ahead.
[00:29:47] Speaker B: But to put in perspective, it's all magic for us. So everything you're saying is magic.
[00:29:53] Speaker C: It Is. And that's part of the problem. It's like you can tell it to do a lot, it will do a lot, and then it will do it. However it does it in the background and you don't get to control or see it, and you can run across a lot of problems. So enter the competition. So Claude Cowork, right? So Claude Cowork, they recently are trying to make it so that you can communicate very similar to how you can do an openclaw. That was the other thing that OpenCloud did that was really cool was you from your phone, you can chat with your opencloth, through Telegram, through WhatsApp, through all these different channels. Takes a little bit to set up. But you can be, you know, on a bus or driving, you know, driving somewhere on a train to San Diego, you can be at lunch or whatever and you can give it commands to check. Right. Check my emails, you know, create agents. You can have it do all that on the go. So one of the things they've done with Cloud Cowork is they are allowing you to do that. But here's the difference. When you use a skill in Cloud cowork, those are curated skills, and they're not going to have viruses or malicious software in it. Same thing with Perplexity. So Perplexity is another tool. You guys probably used it for news. I don't know if you guys have ever used Perplexity AI, but I use
[00:31:01] Speaker B: the only one that uses it for news. And when we talk, you always say, oh, you must use it for news. I didn't even know it existed until you told me.
[00:31:08] Speaker C: Yeah, so, I mean, it's for news. It still has its problems. It's only reading the news. So whatever it produces, it's still reading news that's out there. So it's, you know, kind of aggregating that information.
[00:31:17] Speaker A: So, but that's Perplexity.
[00:31:19] Speaker C: It's called, yeah, Perplexity AI. But the reason why I bring it up in this context is they have one called Perplexity Computer. So that's a competitor to the same type of idea behind your openclaw or your cloud Cowork. You know, I definitely used it to where, okay, go to Perplexity Computer. And I wanted it to do an investigation into a particular project that I was working on. It did an amazing job, produced amazing documentation, which then I was able quickly be able to give that information to my client, which helped, which helped me, you know, further that deal along, close the deal. So those are the type of tools I would Use. I wouldn't use openclaw unless you really, really are technical and you know what it is that you're doing and what skills you're using on there or you're creating your own skills, which I think is just a bridge too far for most, in my opinion.
[00:32:05] Speaker B: Yeah.
[00:32:06] Speaker C: Dan, are you using any open cloud or cloud code or Perplexity computer or.
[00:32:12] Speaker B: No, I generally have my AI sprints after I hang out with you. So my Sunday after we spend the weekend in. What is LA that we're going to.
[00:32:22] Speaker C: I had a question for you. When it comes down to like property technology, what is, you know, I think it's moving fast as well. It's not an area that I'm into as much. But what are you seeing in property tech? I mean, sensors in homes going back to a central location so you can better respond to maintenance.
[00:32:41] Speaker B: Yeah. So proptech was huge for a really long time and, you know, investors dumped billions and billions into it. But one of the things that as the, you know, the practitioner we always looked at is what is the cost. And there was a lot of companies that came out with those sensors. You know, they would track everything. They would tell you before your air conditioner was going to go out, they'll tell you this or that. And for me, I'm like, okay, so you're going to, you're going to tell me before my air conditioner goes out, which is great, but you're also going to charge me, you know, $2,000 in hardware costs, another thousand dollars a year in monitoring costs just for me to tell me something that's inevitable.
So a lot of that went nowhere and just completely fell on its face. It was just too expensive, cost prohibitive. And at the end of the day, it wasn't really saving you any money. It was just telling you before things failed. Now there are other platforms like Moen has a smart valve that you put onto your water mainline going into your home and it will track irregular water usage, or if you have like a pinhole leak, it'll track micro usage of water and then be able to tell you, hey, you know, there's something going on. Do you have a sink on? Do you have a faucet? Or you're, you know, you have a broken sprinkler and it will automatically, well, you have different, different settings, but it will automatically shut off or it'll tell you, say, hey, we're going to shut off in 30 seconds if you don't tell me this is normal. Like so much so where, if you take A shower in the middle of the night and the AI determines that this is an abnorma, normal water usage, it'll just shut the water off to your house or shut the water off going in from the main, which is wonderful.
So those actually prevent a lot of damage and are helpful. But a lot of the, you know, home monitoring systems, those become less useful because it just tells you the inevitable and it charges you a lot for it. So I think proptech is now taking that evolution where they're realizing what people actually want, what they're willing to pay for and they're providing it. Within our space, we're looking AI for really everything. Even from getting companies up and started having live websites live in the matter of minutes, updating them more frequently, or even on the property management side of our business, we're looking at an AI essentially platform to triage the hundreds of maintenance requests we get every given week and be able to read it, respond and determine, is this an emergency? If it is, we'll have a human step in. But imagine that taking the onus off humans for responding to property management maintenance requests 24, 7, day in, day out, weekends, holidays and everything else. So there's a lot of opportunity there. But at the same time, even with us where we're implementing that AI on the property management side, we're putting in a sandbox because what we don't want is an AI bot to go and a tenant calls and says, water's pouring out of my walls and says, cool, we'll call a plumber, they'll be in there in the next two or three days or send an electrician instead or something like. So we're still monitoring it to ensure it works correctly and those are the bigger ones, but on a day to day basis we're looking at all of the AI platforms to be able to help us keep up with clients, provide better communications, better information, tap into a lot of our legacy SaaS platforms who are really reluctant to allow anyone into and ultimately just be able to service our clients better without putting all of the time and responsibility on the humans in the office because it's a really capital and human intestine industry and we're trying to minimize that and really provide a lot of help to our team members. So across the board, yes, but it's not easy and I don't know if there's a clear pathway. We see a lot of people posting about all these amazing things we're doing and it sounds great.
Not obviously, but I haven't seen it run live Myself, But I'm really skeptical that it's as flawless and wonderful that a lot of people are claiming that they're building these, whatever it is on open claw over the weekend from their kids soccer gamer.
[00:36:35] Speaker C: It's funny. You're talking. So it's where the rubber meets the road. I mean, you're there, you're operating a business, you're communicating with your clients and then putting that technology in our space. It's definitely something that we've seen. You guys seen the articles where AWS let go of so many people and they've automated or they've created a lot of code and then boom, stuff goes down. Right. One of the things that I'm seeing in our industry is where people. It was articles recently, but I don't need an article to tell me is, you know, when we generate as a software development company or individual engineer, and then you can generate a lot quickly. Well, do you even know what it's doing? I think they. The dark code or gray code is what they're determining it as. So, you know, the rubber meets the road with us. We have to have a solution for our client. We have to be able to maintain that code for our clients. So finding that balance and understanding all the code that gets generated from AI, we have to be able to wrangle that in. And that's been a challenge for us for, you know, this last probably year, year and a half, is we have to meet the needs of our client as well as understand what gets created and maintain it. So, Shannon, what are you seeing in the industry right now? The real estate opportunity for us?
[00:37:41] Speaker A: I mean, the age demographic and how different people. There's just so many realtors in general. Right. And everyone does things the way that they do it. It's a lot of push for people to embrace AI, integrate it into their businesses. It's a lot of conversations and a lot of people really screaming from the rooftops. Remember when we all were opposed to the Internet and the Internet was going to ruin the industry. And you know, that was back in the day when you had to dial up a realtor and have them look into their. I don't know, I wasn't even there during that days. I've heard stories though, of you had to search a home through realtors. They were the only ones with the list. And so when the Internet came, that just made everyone think the world was ending.
And a lot of the people that have really embraced AI early on and integrating it into their businesses are screaming, this is the Internet times. A thousand. Like, you need to embrace this. You need to embrace this now because it's not going to go away and it's going to completely change everything. And if you don't start learning, trying to figure it out, working it into how you structure your business, you will be left behind.
[00:38:47] Speaker D: Even for instance, with us, Shannon, you're, you're part of the conversation. But we, at any given time we have 10 to 50 rentals on the market and that's 10 to 50 updates that we need to be providing to clients, which was just incredibly time consuming. We'd have like five people working for an entire day to update all of our clients on their listings. We created a platform where we create all the prompts in OpenAI and ChatGPT.
We created a spreadsheet that pulls the data directly from our showing software and inputs into the spreadsheet. We put in some minor notes in regards to feedback we're getting and then OpenAI pulls all of that data, puts in or writes a very eloquent update, puts in real time market information, is able to make recommendations. And what used to take, you know, five people, eight hours each to do, it's now taking them, you know, five, 10 minutes each. And it's just saving so much manpower while producing a significantly better result for our clients and our company overall.
[00:39:49] Speaker A: Can you build one of those for me? Because I'm still typing out my updates on Mondays.
[00:39:55] Speaker D: Yeah, absolutely.
[00:39:56] Speaker C: But I definitely agree with you, Shannon and Daniel. You embrace it or you're going to be left behind. I think it is that big of a shift, you know, what is it, the horse to the car or whatever it is, you know, people. And it's definitely going to affect industries differently. I can speak to mine specifically. What there's 1.8 million developers and last year, what it was on average 10, 15,000 developers lost, you know, it shrunk and then, you know, 30,000 in January.
I think there's now some people are pulling back, right? So it goes back and forth, but it's harder, 20% harder for a software developer coming out of college to get a job. At least it's lower, meaning they're not getting jobs. So it's definitely going to have an effect. And I think the people that do embrace it are going to be more effective, but I think it's just a shift. And these other people are going to either learn or go to another job or eventually augment the economy in a different way. I don't think it's a zero sum game. I think there is Going to be some pain. That's just my gut reaction. I mean, I don't know who. I'm not Nostradamus or Elon Musk, but I think there's going to be an adjustment. But I don't think we're going to be doing away with humans. I think it's just going to augment us.
[00:40:59] Speaker A: You got to roll it.
[00:41:00] Speaker D: But in regards to that, there's certain things that only humans can do. And it's having those human, human conversations I was mentioning before we started recording, I was at an AI conference where one of the head technologists for Rocket and Rocket Mortgage, Rocket companies, was talking.
And he kind of said a lot of things, same things that you said. Brian is like, yeah, you could build AI around. You could build technology around it, but do you need to. And then Elon is famous for saying, like most engineers optimize things that should never exist in the first place. So he's smart. I think the sense of saying, what do we actually need to build? What's the purpose? Or are we just overcomplicating this? And a human could do this 10 times better without any technology. And we need to have a human in the mixture and stop trying to replace, you know, everyone and everything with AI because, like Shannon, you're incredibly gifted. That human interaction, that. That human component where no one could replace you. Me, on the other hand, a computer could probably better do. Could do it better than I can. But for you, for instance, no, absolutely not. So that's where people need to realize, understand there. There's always going to be a place for humans. There's people who don't want to talk to AI and there's things that are. The AI is incapable of doing when it comes to that human component where real estate is so much of a relationship and human business, you know, that
[00:42:18] Speaker C: Rocket Mortgage and Quicken and mortgage companies in general have been trying to automate that process and they've done a pretty good job, you know, pretty well. But when you are making your largest decision in your life, do you want to just press a button or do you want to talk to a human? And that. That industry has been fighting that concept. And the human have a one. You know what I mean? You definitely want to talk to a human. What you're dealing with, remember, probably real estate purposes, everything else. Go ahead.
[00:42:41] Speaker D: They talked about that specific thing at the talk and they were saying that they have an option where it's a completely automated process. They don't ever have to talk to a human. And Everyone has that option at the very beginning. Less than 1% of people actually click it. It's interesting. But on the flip side, like, I remember when I go buy a car and you go talk to the car salesman and this and that, and then I bought a Tesla and. And you just order on your phone.
There's no human interaction. I loved that.
[00:43:05] Speaker A: It was scary. So easy.
[00:43:08] Speaker B: Yeah.
[00:43:08] Speaker D: So there's different components there.
[00:43:10] Speaker A: But do you remember when we did the Mastermind panel? I think we did it early last year. So all of this has changed a million times since then. But the lender that was on the panel, she was talking about how she started an email conversation with someone that was like, ready to go, you know, and so she starts doing her thing, pre approving. And then she was realizing that there had been an entire email chain and I'm assuming it's something her company had done. And she's like, I did not know that I had been talking to this person extensively for a couple days at that point. So she's like, I went back and read the whole thread. So I don't know at what point it transitioned over to her being the one responding, but she's like, and I, the answers were good. They were what I would have answered. It was accurate information. And it got that lead all the way to the point that she was at, you know, first human interaction from her perspective was now, you know, pre approving and getting this person locked in. So how do we do that? Because it worked, you know, and then
[00:44:06] Speaker C: you don't, you don't want the agent or the sales rep or whatever to have to read all those. So then, you know, they're doing techniques to summarize what happened. Right. So, you know, we do that quite a bit in software now. Like we're, you know, chains of information and like, hey, you know, especially for software development, somebody comes in, we're talking about a problem for so long. Well, we build tools to summarize exactly what happened so we don't have to read through that was the other thing I was going to talk about as you guys were talking. Is the human in the loop? That's a big concept now in software development, but I think it really is going to be across the board. It's kind of what you touched on, Shannon. It's the human essentially comes in and then there's different aspects to it. One is, okay, checking the work, being able to correct the work, to be able to take that work to the next step. Right. And there was a article I was reading the other day about software developers, where they were being able to be so effective, right? And it almost became a game where they were just working late, late hours, but then they got exhausted because of how much complexity was in their lives. Right. So I wonder, from a human in the loop standpoint, you know, AI is going to do a lot for us, but now our worlds are more complex, so there's a lot more things happening and we are going to have to adjust it because AI is not perfect, it's going to make mistakes, we need to review what's going on. But now what's happening is so much more complex. So instead of doing, you know, say you had an operator doing property management that did 50 by himself, but now he's doing 200 because he's using AI tools to, you know, help automate his world. Well, now you have 200 and you have to, when you're jumping into any of these, you're not really in it anymore, Right? So when you were doing the 50, you understood exactly what the 50 properties were and you knew what was going on. You can answer those questions. But now you have 200 and now you have to jump in and deal with a problem. And now you have to really investigate what's been happening. Right. I think that's going to be an interesting trend in the future. It's definitely a trend for software development.
[00:45:55] Speaker B: And that's a great point.
[00:45:56] Speaker D: Something I wanted to talk about. Thank you for reminding me.
[00:45:59] Speaker B: You know, people are saying that software
[00:46:00] Speaker D: developers are going to go extinct, that there's no use for them, and I think that's totally wrong. And you've brought this point up where
[00:46:09] Speaker B: you as a software developer can utilize
[00:46:13] Speaker D: AI to create what you want to in a much more efficient and efficient, effective manner than what we could making things up. And likewise for property management, you could have AI do the majority of the triaging, but for the most part, a human still needs to be involved in a really great property manager, really great realtor. Their output will be improved by AI, but they won't be replaced, no matter what people say. And you have a great point here that I'd love to hear you tell our viewers and our listeners in regards to how that the industry shifting for a software developer in the age of
[00:46:45] Speaker C: AI at the moment with. This is what I would say about the software development industry. I think it's harder to get into it, Right. So let's say you classify software developers into. I'm just going to classify them into categories for myself, like somebody that's in College now, that is.
Or maybe a couple of years of experience. Maybe somebody that's been in it for, you know, 10, 15 years. That's category two, category one people. I'm doing a long time, but also excellent at their job. And no massive amount of technology, which is where I, where I fit in, that particular person can be a lot more effective. Somebody that doesn't know anything about technology yet or is just learning about it, you know, they don't have the breadth of knowledge of what even exists out there from a standpoint of integration, systems, concepts, you know, I know patterns and architecture. I think that's going to be from, from an industry perspective. And who's going to be effective, who's not going to be effective is going to be a issue for them to get a job. That's why you see 20% down. I was at one of, one of an INEO event and one of the guys had a guy coming out of college and he wrote a resume. He goes, I haven't gotten any. He goes, hey, change this to five code engineer, right? And then he got a job. But again, the rubber meets road when he actually gets in there. And is he actually doing it? But my main point is, let's say you categorize those developers into those three topics or three sections and the guy that's been doing it forever is going to be a lot more effective. And I think that's going to be the way for any scenario. So property managers, right? So imagine you had a property management team and you got 20 people and somebody was really kind of doing a tier three job where they were just responding to emails back and forth. Well, I think those jobs are at risk.
[00:48:19] Speaker B: Yeah, but like one of the things
[00:48:21] Speaker D: you said and you said it made so much sense when you told me,
[00:48:23] Speaker B: it's like, you don't know what you don't know. So if you're having something vibe code
[00:48:28] Speaker D: for you, you think it's great because you have no idea. But you're going to look at it and be like, what are you doing? And even from my perspective, you know, I'll be chatting with what, Gemini or ChatGPT and it'll give me a response. And I look at it, I'm like, you're absolutely wrong. You missed this. This is not correct. What about this?
[00:48:43] Speaker B: And it's like, oh, yeah, you're completely
[00:48:44] Speaker C: right, I was wrong.
[00:48:45] Speaker D: Here's the information that you really need. Someone who doesn't know, will never even know that they're getting the wrong information for you. It could kick out code that you're like, you're crazy.
[00:48:54] Speaker B: Do it this way instead.
[00:48:56] Speaker D: But the average person will have no idea.
[00:48:58] Speaker C: Yeah, and that's a huge risk.
They call it gray code or whatever. I think it was a, like I said the term that came out the other day. You know, you, you have all this code that's being written specifically for software in the software industry that people don't even know or if I've ever seen. And you don't know how it works and you don't know how it operates and it could be at risk or a risk to attack. I think they're, that's a whole subject. But if you've been doing it a long time and long time doesn't actually, you can be, you know, a mid tier robot that's just really excellent. So it's really comes down to how much do you know about software and how it's built. So the higher level of skill that you have, the more control you have over it. And I think that's going to, like I said, translate over to all the different industries out there for when you're using AI in general. You know, it's interesting too is that it's, people are building tools to help solve that problem. In software development. It's such an interesting industry because we are doing our best to somehow code ourselves out of work and it's just accelerating at a fast pace. I don't actually, look, I'm not really depressed about it because I feel like I've been in it for so long that I can, it just gives me more and more, you know, ability to, you know, provide, you know, solutions to my clients. So I feel very, you know, very secure in what I, what I know and what I do and how, how I can help a particular company with software. But it's definitely would be daunting for somebody coming into the industry. But you're absolutely right. So if you're out there, Vicodin and you're, you're brand new and you don't know anything, you know, I've seen it. I have a lot of people in the industry, a lot of friends that are trying to do it where they say, hey, build this. Well, you don't really know what you have and you definitely need somebody to take a look at it. It depends on exactly what it is we're talking about, like what you're trying to build and how you're trying to do it. But some things are easier, some things you can get by with. But in general, you're right. Dan, it could really go sideways. You know, what was the spider man with great power becomes great responsibility or something like that. Yeah, exactly.
[00:50:45] Speaker D: Okay, Brian. So one of the big topics on, on the market right now in the industry is SaaS products and people replacing their SaaS products or legacy products with by coder platforms. I remember I was at one of the last conferen conferences I was talking about and this is a massive company with tens of thousands of employees. They said they replaced their HR SaaS platform and saved themselves, I think it was 6 million a year. They by coded in two weeks with their internal team and they're saving 6 million a year. Can you talk about that and what's going on in the industry?
[00:51:13] Speaker C: Yeah, that's very true. You know, two weeks for a $6 million a year product. You know, my gut reaction to it is that particular company wasn't using all of that software or you know, the breadth of it. And that's common, right? So think of HubSpot, right? So that's one of the big players out there, Salesforce, HubSpot, you know, they sell you on this system and you're spending sometimes, you know, small players, you know, 500 1,000 to 50,000 to $100,000 a month on, you know, to make matter of users you have and the features you have on that. You know, a lot of These big players, HubSpot, Salesforce, they add all these features that you don't need and don't use, but you're still paying for them.
That model in my opinion is going away. So like in your example, the 6 million down to two weeks, that probably that tells me that, you know, the best byte coding engineers in the planet, you know, you're not going to replace $6 million worth of features. But it tells me that they probably didn't need all those features, they just needed to X out of it, right? Which is really common. So an example, a finance company is using Salesforce. They're spending $750,000 a year, you know, within a few months, you know, you can vibe code the majority of what they need out of that and not pay $750,000 a year. Right? That is a true, that's what, you know, you've heard in the news, the SAS apocalypse. And it's a combination of A, they're not using all those features and B, vibe coding, you know, with the right engineering team can get this done much quicker and replace massive amount of costs. You know, they, in the particular one that I was thinking of, they had, you know, Salesforce and then all their customers had to have a Salesforce license. Well, if you vicode it yourself and host it yourself on, you know, some of these, you know, these platforms, gsp, Amazon, whatever, you now own it. And you can have a million users, an infinite amount of users. You don't pay a licensing fee to Salesforce or HubSpot to do it. And I think there's real risk in those stocks and you can see it because the prices went down. Yeah.
[00:53:05] Speaker D: And I just love it.
[00:53:06] Speaker A: Tailored to you.
[00:53:07] Speaker C: It's tailored to you. And it's also the features that you need and want, which a lot of these companies are, they pack in features. You know, you have a sales team and some of them are, I mean, Salesforce, some of the best in the world. The sales teams that they've had come in and they do the whole sales dog and pony show and they're incredible at it, like best in the world I've seen. Ones that I've seen are just amazing. But now you're in two year contracts and you're, they've sold you on these amazing things they can do, which is another problem in software. Right. So they, they tell you they're going to change your company. In my opinion, you need to have your processes in place before, you know, and then the software needs to meet it as opposed to the software does all this amazing stuff. And I'm going to change my company to fit the software.
[00:53:44] Speaker D: But it's another topic, even implementing it is super expensive.
The platforms that we've integrated, implementing it is, you know, tens of thousands of dollars. Or even talking with Marnie, a much larger international company, you know, they're spending millions of dollars to implement software that they're spending millions dollars on per year just to host. And on a much smaller scale. Remember you and I were talking last year about a platform to host or to track all of our keys and physical assets and we were looking at spending like a thousand dollars a month just to track all the hundreds keys that we have. We built it in like a week and a half and now we don't pay anything for it. And we track, you know, a thousand plus keys, computers, cards, everything all the time. So yeah, absolutely, yeah.
[00:54:30] Speaker C: Big and small projects. I think that is a big plate. That's a massive mass area for making entrepreneurs small, medium, large companies way more efficient. You know, what software do you use and how do you use it and are you using all the features that you're paying for from these big platforms and can you replace it and the Answer is yes. For the majority of it, the answer is yes.
[00:54:51] Speaker D: The CRMs for realtors, that's a lifeblood of a Realtor's business. And I think a lot of them are going to be able to start
[00:54:57] Speaker C: by coding their own for sure.
[00:55:00] Speaker D: Okay, so another question I have for you. Imagine I'm a new real estate agent, just got licensed.
I don't want to spend the thousands of dollars for a web developer to build my website, but I want to be able to update it, have a strong presence SEO. Aio. What I'm thinking right now, what I would do with my knowledge is probably run some prompts on Gemini and ChatGPT deep search, saying, hey, this is who I am, this is what I'm doing, this is my market, this is my value proposition, or even going back a little bit further and asking it to help me develop my proposition. Once that's developed, telling it everything I want to do and saying, I want to create a website, I want to create it through V0. Write me the prompt for V0. It's going to kick it out to me. I'm going to copy and paste into V0, give it the colors I want to use, tell it to publish it, tweak a little bit, post it directly through v0, publish it probably by the whatever the domain on GoDaddy, and then publish it and have it running from there.
How do you feel about that? What would you change? What are some tips and tricks that you would recommend to that new real estate agent or even established real estate agent that wants to do it themselves and wants to stop paying thousands of dollars to their company every year?
[00:56:24] Speaker C: Yeah, definitely. That's a path. Right? So virtual. It's the people that from virtual, they call it V0.
That's definitely a way to go. And you're right, Dan. What I would do is do deep research. One of the better ones that I think that are out there is Google Gemini Deep research, where you, you know, if you're trying to research trends or research your industry, it does a great job. Google is the king currently of search, so they built a tool into it that does the search. You know, when you're using something like ChatGPT, OpenAI or Claude, they have to pay somebody to do that search for them because they're not Google. Right. So Google, when it built it, it's deep research. It could go on forever. You know, 500 different links that get research and put into its information that it's getting for you. So deep research from Google, I think is one of the best. So, yeah, so a topic and then, you know, what's your business? What's your business plan? What's your business? Say, who am I? What's my differentiators? Get all that information, the more the better. And if you also have, you know, like you said, branding and color colors that you see also, you can ask it to give you what you think the best colors are. Right. So you know, there's buying colors, red versus blue versus whatever, when it comes down to theming. Right. So get all that in place and then v0dev. One of the things I. One of the tips I'd give for V0 dev is kind of give it in chunks and you can actually have AI help you do that. So let's just say you now are. You put this into One of the AI tools like Cloud or OpenAI said, here's all my information. And you create a project in there and you give it all the information that you researched. Okay, so now I Want to prompt V0 from Vercel. What's the first prompt? What's the second prompt? What's the third prompt? Right. So because you. What will happen in a tool like Vercel is you'll give it like, like a book, right? And it will get through some of it. You know what I mean? So you do need to give it in chunks and then wait for it to go. But I think that's definitely a solid approach. And then when it comes down to like integrating into other tools like mls, that's a different story.
[00:58:11] Speaker D: But I didn't know that you had to give it chunks because I just do copy and paste the whole thing and then from there update it accordingly.
[00:58:18] Speaker A: I'll be chunking.
[00:58:19] Speaker C: Yeah, I've been using it quite a bit. We actually built. One of the tools that we built for was an estimation tool. So, like a lot of times we'll have meetings where, you know, just like this, and we'll record the meetings. And sometimes it's an hour and a half, you know, two hours, we'll have three or four of them. And it really goes over the plan of, you know, communicating with that client, what their intent is, what they want to build, what they want to integrate. A lot of times then we'll want to do a mockup of it. I actually built a tool to take the actual videos. Every second it copies an image to a folder of the screen. Then it de dupes it to just like the screens of what we talked about. Let's say they were looking at a screen that we really needed to analyze a spreadsheet or, or something like that. Then it takes all that, puts it into a project plan. I won't go through all the details of this because there's a lot to it, but then it creates a plan to replicate whatever tool they needed in Vercel. And we, we initialize one prompt. So we automated Vercel where it puts the prompt in, then it then waits till it's done, double checks it, and then goes to the next prompt. The next prompt. So it actually automates the whole process with Vercel for us. But yeah, you definitely want to. And that's just one of the tips I have. It depends on how big it is. Right. So like, for a lot of times when we're building a pretty large, you know, bespoke SaaS application, it's not going to do a great job if you try to say, hey, build me salesforce. Right. So it's just not going to do it all. So you have to kind of give it in like, you know, phases, especially for something like ours. But maybe if it's a developer, a real estate page and it's like one or two pages, you can one shot it for sure.
[00:59:45] Speaker D: Awesome.
[00:59:45] Speaker B: So if someone wants to get a
[00:59:46] Speaker D: hold of you, wants to learn more about your services and what you could do for their company, how would they get ahold of you?
[00:59:51] Speaker C: Yeah, you can go to baytechconsulting.com. that's just how it sounds. We have a phone number on there and we have a, you know, you can submit to our contact page or you can reach me too, Brian B R Y A naytac Consulting. Com. Happy to talk to you.
[01:00:08] Speaker D: And then we'll put a link on all of our recordings. So, Brian, thank you so much. This has been awesome.
Super fast moving field, very innovative. It is the future, as you said. It's from the, you know, cart and buggy to the car.
So now we're getting to the spaceship. But thank you so much. This has been super valuable for us. I've learned a lot and I know our listeners will as well.
[01:00:33] Speaker A: Yeah, incredibly valuable. I'll be watching it back just so I can take notes. I'm going to learn from this.
[01:00:39] Speaker C: Thank you, Daniel and Shannon.
This is actually my first time being on a podcast. Amazingly enough, I've avoided it, so. But it was.
[01:00:47] Speaker A: Nailed it.
[01:00:48] Speaker C: Great experience and I appreciate you guys bringing me on board and it's awesome. Thank you guys.
[01:00:52] Speaker B: Cool. Thank you.
[01:00:54] Speaker A: That's a wrap on this episode of AllView360 all things real estate. If you found this helpful, don't forget to subscribe, leave a review and share it with someone navigating their own real estate journey. Connect with us anytime on Instagram @AllView360 and on LinkedIn @AllView Real Estate. Until next time, stay curious and keep your perspective360.
