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Speaker 1: What up, everybody. Welcome to another episode of Let's Ask Paul,

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the podcast where you get to ask me Paul Abernathy

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anything you want about the National Lecgical Code life in general.

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Maybe something about contracting bidding. Maybe you're having troubles with employees,

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maybe you're trying to hire employees. Maybe is there something

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that you just want to ask and you need somebody

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to give you an opinion. And I'm willing to opine

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on just about anything. Remember, all you have to do

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is go over to Paul Abernathy dot Paul abernathy dot

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com is the portal for you to be able to

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ask your questions to me. If you're a fast track student,

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that's another way to ask questions. Just let me know

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you're a fast track student so that you go to

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the top of the list. So my screeners, if you will,

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will make sure that you do go to the top

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of the list. But again, that is the best location

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to send me questions and things like that, So go

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visit it at Paul Abernathy dot com. All right, on

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today's episode, we have had a request from somebody and

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I'll pull it up on the screen for me to

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be able to read more accurately, and we'll discuss it today,

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and you're going to hear more and more about today's topic,

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which is a no brainer. We're going to be talking

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about artificial intelligence and how it can help the contractor,

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how can help you electricians, plumbers, mechanical guys, roofers, home inspectors,

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municipal inspectors. We're going to talk a little bit about that,

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but I'm also going to focus on things that AI

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can do to help you run your business, can kind

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of make you a It's kind of like hiring a

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marketing expert for your company without having to pay the

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money for a marketing expert. And today things have changed

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so rapidly in how AI or artificial intelligence a trained

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model of information. Okay, it's just not pulling this information

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out of the ether, right, It's actually coming from sources

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that are typically being screened now that we're getting more

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hypersensitive about things that are put out into the public domain.

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But it's screening this information and bringing it back in

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certain programs or certain projects like ours with trade Hog.

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What we're doing is we're scrubbing that information, making sure

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that it is validated and very relevant to whatever our

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topic is. And of course we focus on construction codes

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and standards, right, But there are other AI models out

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there that are pretty generic that can cover a wide

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range of things that maybe trade hog can't cover, like

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general that chat GPT is a generalized, open AI model

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that actually is great for asking generic things like just

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the the every day why is the world round? Or

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why is the why is there is the world flat?

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Type of questions, but it doesn't do the best job

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at individual tasks for the construction industry. Uh. And so

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but we want to talk about how AI can help

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you uh in in both of those realms. Uh. Now,

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one of the things that we'll be doing uh and

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I should say this to the many people is trade hog.

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Uh Let me let me let people know what that is,

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because this is the crux of the question. So the

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question that was asked to me, said Paul, I'm hearing

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a lot about trade hog. In fact, it was brought

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up today in one of our business meetings, and we're

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interested in trade hog. I have been tasked to ask

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you all about trade hog, what it can do, how

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it can benefit us in where is it going when

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it comes to AI in the construction industry. Thanks in advance,

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love your podcasts, keep up the good work. Okay, that

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was the email that I received, And so it came

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at perfect timing because you know, understanding the general contractor

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the tradesman right has no idea what really AI is. Now,

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we have the savvy folks that spend a lot of

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time on Internet, they read things they know, but the

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mom and pops, the general people that have the boots

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on the ground that they don't understand what AI is.

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They don't understand how that could even remotely help their business.

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So we want to kind of shed some light on

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that for those that happened to are savvy enough to

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actually listen to our podcasts, which by the way, is

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available on all of your favorite podcasts listening platforms, whether

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it's Sprinker Deezer, iHeartRadio, Apple Podcasts, Google Podcasts, Amazon Music.

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Just search for Master the NEC podcast and you'll find us.

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But you can also listen from our mobile app. It's free.

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Just go to our website fasttracksystem dot com. You'll see

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it in the navigation you can you can get it there,

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but you can also go to a separate website that's

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sponsored by Wicks as well, and that is n E

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c C h A T. That's NYC chat dot com

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and you can go there as well and download it.

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And it works on a desktop, but it's ideally created

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for your mobile device, okay. And there's a lot of

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calculators in there. There's a chat feature, there's a message

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board in there, there's a pod you can listen. You

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can read the blogs in there, but you can listen

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to all the podcasts in there, So I guess that's

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the most important part is you can listen to all

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our podcasts and stream it to any Bluetooth device. Okay,

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when you listen when you're in your shower. I listen

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to a lot of podcasts in the shower. I have

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a one of those bluetooth speakers that I put in

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the shower and then it connects to my phone and

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I play it on my phone and I can listen

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in the shower. Okay. I listen to a lot of

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entrepreneurial podcasts and things like that. I'm a podcast guy, Okay,

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I do videos, but at the end of the day,

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podcasts are what I love the most. So just it

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catches me. Whether I'm traveling, I'm in the car, I'm

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working on the job, I can have the earbuds in

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or doing something and listening to a podcast. So again

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it's you know, people say, are podcast dying. I don't

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think so. I think it's as busy as we get.

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It's just a good, unique way of getting information and

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being able to listen. So anyway, so we want to

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talk about the AI a little bit and talk about it.

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So I kind of want to give a little introduction,

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a little bit about AI and the power that AI

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is going to actually bring to the construction trade if

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you embrace it. And we're not talking in an essence

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of simply pushing trade hog to people. Okay, I'm not

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in this episode, that's not We're talking AI in general

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for the construction industry. Although I have to tell you

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that since we own trade hog and we have created

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that model and we're actively training that AI model, that

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we're relevant. I have to talk about it. Okay. So

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people say Paul's just advertising, Well, I mean I am

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in business, but we're talking about AI in general today.

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So one of the things that we have to understand

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about artificial intelligence is is the AI an actual research

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tool or an automation tool? And the answer to that

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is it can be both because you can use artificial

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intelligence in industry to automate processes, whether it's to run

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reports or to do certain tasks. That's considered AI. But

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the research is what we focus more on is being

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able to take our everyday tasks. It's not going to

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replace us as a contractor, Okay, right, AI is not

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going We're not going to have these little robots going

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around wiring houses. I know you can say well never

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say never pull okay whatever. I'm just saying, in your

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lifetime and in my lifetime, that ain't happening. So let's

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focus on our lifetime, right, Okay, we can get rid

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of the plastic straws. But again, let's worry about our lifetime. Okay,

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so in the sense of us and being very selfish

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about our needs because again we're here when we're dead,

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we're dead. Let's be real. Let's stop being a little

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tree hugger. Let's get to the truth. It's about us

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and our family and taking care of our business and

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growing and having all the dreams that we sought out

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to get. So in doing that, how can AI help that? Well,

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I see, the biggest model for an AI tool like

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trade hog is research. If I'm sitting in a situation

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where I need creditible information that is what we call

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logically broken down into code, references and examples, that is

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validated that if I'm a plumber, electrical roofer, mechanical guy,

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or HVAC technician, an inspector, a home inspector, I need

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that information quickly. I'm getting paid by the hour, I'm

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getting paid per project or. Time is money, right, we

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hear that all the time. Time is money. So when

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it comes to AI, AI as a research tool to

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me is more in tune with the construction industry, not

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the automation. Now back in the office, it may help

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automate certain functions and certain tasks, and that's doable. Okay,

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there's AI models that can help do that, run reports

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automatically if you want to call that AI, But it's

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artificial intelligence thinking logically in the background, based on data

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points to spit out information that you're requesting. Now. As

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a contractor, and I have been a contractor, I was

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a contractor for many years, I get tons of questions

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Now as an ANYC consultant today, I can tell you

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I get hundreds of questions a meek week that people

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could literally answer themselves using trade Hog. I'm just saying

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some of the questions I get, you could literally plug

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it into trade hog and get your answer and it

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be reliable. Now, I always recommend that anytime we're doing research,

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whether it's using an AI tool I like trade Hog,

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that we always validate that information. And you've heard me

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say this over and over again. You know, when we

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give you a coarse material, we're not reinventing the wheel.

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Code is code. It comes straight out of the codebook.

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We're just putting it in a way that's palatable that

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you can read it, logically, feed it to you, give

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you a process of how you learn, and allow you

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to validate same thing with AI resources. Okay, it's all

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about validation. So it may give you a code reference,

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it may give you a standard reference, and our model

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is tuned to do it. Look at ul ASTMs. It's

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designed to look at nec in FBA seventy two ASTMs,

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at CES. It's designed to look at these models and

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bring you back relevant information. Shit, it even looks at

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ADA requirements if you ask it to. And so the

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reason behind this is for to give you the references

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to then stop and still go validate it. I want

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you to still go to the codebook. We're not trying

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to replace the codebook, but we're getting rid of that

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time that you lose with ineffective research techniques. So you

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go straight to in our case, trade hub, put in

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the question and again and crap in, crap out. So

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you've got to really be in tune with how you

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write the question. And we give you some examples on

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TRADEHK how to write questions. But you do it and

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then it gives you the results. Now, if the results

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give you a certain thing, it allows you to ask

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a follow up question. That's why we talk about it,

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and we call things like chat GPT. It's chat because

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it's intuitively wants to have a communication, because it learns

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from the communication where you're at. And so we do

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the exact same thing, and we'll talk a little bit

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later how ours differs from the generic chat GPT, but

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it doesn't mean that it replaces the need. These are

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just expenses that you add to your business function where

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it used to be marketing fees, this, this, this, you're

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now at a very cheap rate, are getting some of

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the most the best employees that you could ever have

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that are never going to talk back. They're going to

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work twenty four to seven. They you know, the only

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thing you're paying is is a monthly fee. And they're

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always there to work for you, always there to work

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for you. And I'm going to show you how it

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works hand in hand. So AI is driven to perform,

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like trade Hog provides instant access to critical knowledge so

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that you can make a decision on the job critically

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at the right time, at the right moment, and have

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a high level of assurance. That's what trade hogs all about.

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The challenge that people face with AI is the accuracy

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and real time answers in the field and can you

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trust these So for us it's always it's been a challenge.

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Now trade Hog is fairly new for us. We're writing

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the back end algorithm. We're using open ai source as

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well as Jeminy from Google, and now we're also using

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AI Assistant, and we're feeding in constant, constantly putting documents

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in the feed loop in order to have it pull

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from it. Now we've had to pay significantly for this

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because when you start out you don't get a lot

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of access, so you have to deposit quite a bit

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of mone money into open AI. In order to get

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access to certain tiers, and we're at the next highest tier,

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and we had to pay for that, and that means

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that we open up and remove certain restrictions to allow

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our model to be able to be fed with additional information.

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And we don't mind doing that because that's an investment

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that we're making it at. We believe in the AI concept.

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We believe that it's going to help the industry, and

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I believe at this point most people have removed the

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fear that AI is going to take their job, because

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it's certainly not going to take electricians, plumbers, mechanical guys,

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home inspectors, and it's never going to take your job, guys,

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but it can make your life a little easier. And

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I'd rather work smarter than harder. I'm just saying now,

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AI's role in bridging the knowledge gap for professionals versus

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an inspector is where trade hog, for example, is going

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to really shine because trade hogs going to allow the

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inspector to put in certain things that they may not

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necessarily have the deep trade knowledge as the electrician, whereas

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electrician may not have a deep knowledge of inspection practices.

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So it's going to allow the building of your profession

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and what you do and what you're good at and

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being able to ask questions. It's going to pull from

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other things and look at it from a much higher

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perspective and pull back the data from data points that

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you may not have even considered. Okay, so we train

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this model, and so what makes it different? So what

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makes trade hog generally? The first thing we'll say different

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than a generic chat gp chat GPT is that the

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generic chat gt GPT is only putting from pulling from

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generic information. It still may bring back an answer, but

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it is a what we call a wishy washy response. Now,

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a wishy washy response is where its temperature level is

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set that it brings back a response that may be

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not geared technically accurate, but brings back opinions that maybe

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differ through the resources that it pulls from, which is

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the Internet, in other published documents and other And let

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me tell you, experts have put out a lot of

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documents that are very reliable. I mean, you buy the

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books so you know it's reliable. But just no way

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you can read all these books. Well, the internet can,

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and their resources are vast. The problem is it pulls

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back chat GPT pulls back such generic information that it

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sometimes becomes wishy washy. And I've shown an example on

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some videos whereas I compare it to trade hog, it

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brings back the wrong answer in chat GPT, and then

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I ask it a follow up question and it goes, oh,

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oh that's right, you're correct. Well, all GPT models should

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do that, okay if you can show them something, because

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it's constantly learning. Now, the difference in ours is that

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we're feeding it additional information that is very specific to

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the NEEC, the IPC, the IRC, okay, the UPC, that

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we're feeding in specific models to try to bring back good,

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accurate information and not looking for the genericness. Now, what

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makes what makes it challenging for something like US, as

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for trade Hog, for example, is that you know the

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NEC is A is a tough document. Take the NEC,

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the IPC, the IMC, the ada's the ass rays. Those

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are tough technical documents. And one of the biggest benefits

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of something like trade hog or an AI model that's

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tuned into these type of things is that you can

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ask it questions about certain things like fire resistant ratings

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versus a fire rated assembly, and it is geared towards

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looking for the information that is specific, rather than give

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you a bunch of jargon that maybe conjecture out on

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the internet between maybe something that was pulled from message

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boards where you can get conflicting information if you train

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the model correctly, as we're doing with ours, we're very

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hyper focused on something specific to the trade that that's

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very specific that we focus on. So that's one way

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to do it. But because of the complexities of these

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different standards, it really takes a generic chat GDP out

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of the game when it comes to that. So that's

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where trade hog came from. Okay. The other issue is

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that we are feeding in things like manufacturers instructions manufacturer

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00:18:38,559 --> 00:18:44,079
guides for certain applications. And one great example of this though,

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we did a sample test the other day where is

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a ground screw in the metal box required to be green?

308
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Can it be brass colored black? It doesn't matter color really,

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00:18:56,160 --> 00:18:57,960
can it? Or does it have to be green? Well,

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the generic regular twenty dollars a month smart you know

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version that you're paying for of the chat GPT said that, no,

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you can't use it, it has to be a green

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00:19:10,440 --> 00:19:13,519
colored screw. Well, we know that's not true because two

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fight of the NEC makes it very clear that it

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just needs to be a screw that's designed where it

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00:19:19,799 --> 00:19:23,640
engages two full threads. There's no listing for screws for

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00:19:23,680 --> 00:19:28,119
grounding and bonding. They don't go through an evaluation process.

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So at the end of the day, it was misleading information.

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And when you told the chat GPT this, it corrected

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itself and says, oh, you're right. Well, our model is

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00:19:41,079 --> 00:19:45,519
attempting to remove that misleading step that could make somebody

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stop and say, oh, I guess that's gospel. I'll stop

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right there, I won't dig deeper. So it's not going

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to be perfect, but our model is constantly learning, and

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part of what we do is keep training it, training it,

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training it, changing the prompts, changing the way it works

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in the background constantly in order to make sure that

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it is as reliable as we can get in the field.

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And that's what the other difference is too. Trade Hog

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is designed for in the field. It's designed to be

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within your technician's pocket, on their phone, it's designed to

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00:20:19,599 --> 00:20:22,640
be on their tablet, while it can be used as

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a desktop, and that's how we're sometimes using it. It

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00:20:26,599 --> 00:20:30,759
really shines for use out in the field for the

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00:20:30,799 --> 00:20:34,079
technician to be able to make split second decisions. It's

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also a great troubleshooting tool. You can put in certain

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things that you're experiencing, troubleshooting issues between transformers or panels.

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There's something's not right, the voltage is not right, and

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00:20:44,599 --> 00:20:47,039
you can feed it. And it's designed to be looking

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for things technical rather than generic. That's the best way

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I can say it. Now. That does not mean that

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00:20:53,839 --> 00:20:57,480
there is not a market for a generic chat GPT

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in your life. It absolutely is. So where trade hog

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is really designed for the field professional. Back at the office,

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what you've got is somebody that needs to ask generic

346
00:21:11,559 --> 00:21:15,359
questions and they need to ask generic questions about contracts,

347
00:21:15,599 --> 00:21:18,799
need a tax help, or or any type of stuff

348
00:21:18,839 --> 00:21:21,160
that there is a vast amount of information on the

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internet and from published documents that are accurate. Tax questions

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00:21:25,839 --> 00:21:29,079
typically get pulled from things like turbo taxes and quick

351
00:21:29,119 --> 00:21:33,160
books and all because they're information is public and IRS

352
00:21:33,200 --> 00:21:37,119
documents and all. All this stuff is out there. So

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00:21:37,400 --> 00:21:42,640
the generic chat GPT has a focus that can still

354
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help you run your business. Generic chat GPT is brilliant

355
00:21:47,480 --> 00:21:49,640
when it comes to asking it to write things for

356
00:21:49,799 --> 00:21:55,160
marketing or publications or letters or articles, whereas trade hog

357
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is more geared towards the trades. Now we will tell

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00:22:00,480 --> 00:22:07,079
people that we are introducing the first next week, trade

359
00:22:07,079 --> 00:22:09,519
hog is going to have a separate portal built in

360
00:22:10,119 --> 00:22:15,039
for generic questions that aren't related specific to the trades.

361
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So rather than pay twenty dollars a month for a

362
00:22:20,240 --> 00:22:26,160
chat GPT that brings generic information, we're going to be

363
00:22:26,240 --> 00:22:31,160
introducing a generic portal for use in asking things like

364
00:22:31,279 --> 00:22:34,519
business contracts and all that kind of stuff that would

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00:22:34,519 --> 00:22:38,440
be office back in specific and that's going to be

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available on trade hog as well, and that's going to

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be available to all of our paid members. Whether you're

368
00:22:43,480 --> 00:22:44,960
in the basic or the premium, you're going to have

369
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access to it. So I think you can see that

370
00:22:47,480 --> 00:22:51,119
we see the benefit, but we also want to train

371
00:22:51,240 --> 00:22:53,400
that as well. In other words, we don't want it

372
00:22:53,440 --> 00:22:57,119
to bring back Ask it a question about something and

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00:22:57,119 --> 00:22:59,440
it brings back something that's totally off the wall. So

374
00:22:59,680 --> 00:23:02,240
we building a model that is going to be accessible

375
00:23:02,240 --> 00:23:04,440
to all of our members, that is going to be

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00:23:04,559 --> 00:23:07,799
used from the back end from the office. So maybe

377
00:23:07,839 --> 00:23:13,160
you can get an account for your assistance or people

378
00:23:13,160 --> 00:23:16,279
that work for you or that type of thing. We're

379
00:23:16,279 --> 00:23:19,799
going to be doing that and so they will get

380
00:23:19,839 --> 00:23:24,000
access to that type of model rather than the technical model,

381
00:23:24,680 --> 00:23:28,720
because we feel that you shouldn't pay chat GPT and

382
00:23:28,799 --> 00:23:32,559
not get a very technically specific model, but a very

383
00:23:32,640 --> 00:23:37,160
open and high tuned model for the electrical plumbing mechanical

384
00:23:37,240 --> 00:23:42,240
to have it analyze things like contracts and look at documents,

385
00:23:42,279 --> 00:23:45,839
look at technical documents and pull out the summaries, all

386
00:23:45,880 --> 00:23:49,400
those type of things that we can tailor in the

387
00:23:49,400 --> 00:23:52,559
back end for our members. And so that's coming next week.

388
00:23:52,960 --> 00:23:55,240
I have not announced that yet, but you're hearing that

389
00:23:55,400 --> 00:23:58,279
first here on the pipest. So we're giving you more.

390
00:23:58,319 --> 00:24:02,079
So rather than pay chat GPTs twenty bucks for their

391
00:24:02,359 --> 00:24:04,920
intelligent model, you always want to use the most intelligent

392
00:24:04,960 --> 00:24:08,119
model rather than pay that, we're going to give you that.

393
00:24:09,039 --> 00:24:10,440
We're going to give you a high level and it's

394
00:24:10,480 --> 00:24:14,400
going to be fine tuned for your industry. But we're

395
00:24:14,440 --> 00:24:17,880
also going to give you access to our normal trade hog,

396
00:24:17,920 --> 00:24:20,880
which is very technical for your girls and boys out

397
00:24:20,880 --> 00:24:23,240
in the field. Okay, your men and women. Okay, it's

398
00:24:23,279 --> 00:24:25,359
easier way to say it. So I think you see

399
00:24:25,359 --> 00:24:28,519
how we're expanding ours because we do understand the importance.

400
00:24:29,440 --> 00:24:31,440
A lot of articles can be written. There's a lot

401
00:24:31,440 --> 00:24:35,079
of marketing. If your company's doing blogs, or you say

402
00:24:35,079 --> 00:24:37,880
I've never done a blog before, let chat GDP do

403
00:24:37,920 --> 00:24:40,440
your blog that you can share your newsletter with your members.

404
00:24:40,440 --> 00:24:43,799
There's so much to make your life so much easier

405
00:24:44,160 --> 00:24:47,400
with AI in running your business. You can ask it

406
00:24:47,519 --> 00:24:50,519
tax questions. Again, it's not a tax accountant, but it

407
00:24:50,680 --> 00:24:54,920
pulls from a database all over the Internet, and you've

408
00:24:54,960 --> 00:24:59,200
got a resource of things that it pulls from and

409
00:24:59,279 --> 00:25:04,000
we will be tuning that so that it pulls back

410
00:25:04,559 --> 00:25:07,039
relevant information and we can control that. By the way,

411
00:25:07,599 --> 00:25:10,799
it's all about the temperature of the conversation in the

412
00:25:10,839 --> 00:25:13,839
back end. So that's exciting that we'll be able to

413
00:25:13,880 --> 00:25:18,079
offer that to our members. Okay, so that's just a

414
00:25:18,079 --> 00:25:20,960
perk that we're going to have for that, But there

415
00:25:21,039 --> 00:25:23,240
is so much stuff that you can use. The non

416
00:25:23,319 --> 00:25:27,599
technical like trade hog is technical. Okay, So the other

417
00:25:27,839 --> 00:25:32,400
is basically going to be for everything else contract review.

418
00:25:32,680 --> 00:25:34,720
And that brings me to the next thing that's important

419
00:25:34,759 --> 00:25:37,839
about AI. I don't know if y'all have noticed this,

420
00:25:38,440 --> 00:25:40,720
but in our demo that we have on trade hog

421
00:25:40,759 --> 00:25:43,440
dot net. To the left of the input area, there's

422
00:25:43,480 --> 00:25:46,160
a little it looks like a little paper clip. So

423
00:25:46,279 --> 00:25:48,559
this is an example of where you can snap a

424
00:25:48,599 --> 00:25:52,240
picture in the field of the installation of the label

425
00:25:52,319 --> 00:25:55,799
on a piece of equipment in a panel, or something

426
00:25:55,839 --> 00:25:58,200
about it you don't understand, snap a picture of it,

427
00:25:58,839 --> 00:26:03,759
and you upload it into trade hog and it and

428
00:26:03,880 --> 00:26:07,920
ask it to analyze this picture and pull out the

429
00:26:08,039 --> 00:26:13,279
key code references or key points, or summarize it or

430
00:26:13,319 --> 00:26:18,160
explain this. It will actually look at the image and

431
00:26:18,240 --> 00:26:21,519
can It's just incredible. It can look at the image

432
00:26:21,559 --> 00:26:24,920
and tell you exactly what's in the image and how

433
00:26:24,960 --> 00:26:29,319
it is. This is amazing technology because there is an

434
00:26:29,359 --> 00:26:32,160
awful lot of labels and things that people read that

435
00:26:32,200 --> 00:26:35,880
they just don't understand. You can even scan things that

436
00:26:35,920 --> 00:26:39,000
are in one language and have it translated into another language.

437
00:26:40,559 --> 00:26:44,440
These are things that, to be honest with you, there

438
00:26:44,519 --> 00:26:49,079
is so much in technical jargon that people just don't understand,

439
00:26:49,960 --> 00:26:52,480
and to have a tool in your pocket that can

440
00:26:52,960 --> 00:26:56,680
really break that all down for you, it's just I

441
00:26:57,000 --> 00:27:00,000
don't you know. We charge nineteen ninety five a month

442
00:27:00,200 --> 00:27:04,039
for our base model. It's less than a meal okay,

443
00:27:04,319 --> 00:27:07,119
a nice meal. In fact, it's probably third of a

444
00:27:07,200 --> 00:27:10,799
nice meal. And it gives you this access to all

445
00:27:10,839 --> 00:27:14,119
of this and you also get forums on the back

446
00:27:14,200 --> 00:27:15,920
end where you can post questions if you want to,

447
00:27:16,039 --> 00:27:20,279
you know, chime in on questions depending on whether you're plumber, mechanical,

448
00:27:20,319 --> 00:27:23,440
building whatever. You know, that's an ancillary that that's additional.

449
00:27:23,440 --> 00:27:25,440
If that's if you want to use it, you can

450
00:27:25,960 --> 00:27:29,119
post a question for other people to review and look

451
00:27:29,119 --> 00:27:32,160
at it. That's up to you. The real beast in

452
00:27:32,240 --> 00:27:37,279
this is the is the AI model. So but yeah,

453
00:27:37,279 --> 00:27:39,759
that feature to be able to upload an image, snap

454
00:27:39,799 --> 00:27:42,599
a picture of a label. We did a test with

455
00:27:42,640 --> 00:27:47,079
it with a four way circuit, two three ways in

456
00:27:47,119 --> 00:27:48,920
a full way and we took a picture of it

457
00:27:48,960 --> 00:27:50,799
and we had it and told us to explain this

458
00:27:50,880 --> 00:27:54,319
picture and it went into detail about it, It went

459
00:27:54,359 --> 00:27:56,839
in how to do it. It was just amazing and

460
00:27:56,880 --> 00:28:00,599
it's all from a picture. And so we're con working

461
00:28:00,640 --> 00:28:05,440
on that constantly making it better and doing things like that.

462
00:28:05,759 --> 00:28:14,000
So for a business perspective, cheat GTP offers great advantages

463
00:28:14,039 --> 00:28:17,640
for a business and if you're an illustrator, it's great

464
00:28:17,720 --> 00:28:19,960
because it has a model that you can create illustrations

465
00:28:19,960 --> 00:28:22,799
and graphics, but the normal business owner that we're targeting

466
00:28:22,839 --> 00:28:26,039
doesn't need all that fluff. You're not going to create

467
00:28:26,079 --> 00:28:29,440
images that way, right, and any images aren't really tailored

468
00:28:29,480 --> 00:28:31,599
exactly to what you need. And you probably don't know

469
00:28:31,640 --> 00:28:35,000
how to do graphic editing, so it's pointless. But what

470
00:28:35,079 --> 00:28:37,640
it can do is can create your marketing campaigns. It

471
00:28:37,640 --> 00:28:40,720
can create your letters. It can look at letters and

472
00:28:40,799 --> 00:28:43,160
make them more professional. It can look at the punctuation

473
00:28:43,400 --> 00:28:46,920
on the letters. It can change the grammar to sound different.

474
00:28:48,119 --> 00:28:51,599
There's so much that it can do. It can create

475
00:28:51,680 --> 00:28:56,680
a marketing campaign. It can do a podcast structure. It

476
00:28:56,720 --> 00:28:59,200
can do blogs that you can share in a newsletter.

477
00:28:59,240 --> 00:29:02,480
You can ask it to create a newsletter. You can

478
00:29:02,519 --> 00:29:06,079
even load in it text from some article you read

479
00:29:06,119 --> 00:29:09,559
and ask it to write an article very similar, but

480
00:29:09,720 --> 00:29:12,640
have it focused certain topics, and it will write this

481
00:29:12,839 --> 00:29:16,079
for you. Now, for those that say, yeah, but this

482
00:29:16,119 --> 00:29:20,400
is all just making us dumber, I disagree. I think

483
00:29:20,440 --> 00:29:25,960
what's happening here is that you're already im mentally intelligent.

484
00:29:26,319 --> 00:29:29,200
If you're listening to this, you've either started your careers

485
00:29:29,559 --> 00:29:32,319
in the trades or you're an owner of a company,

486
00:29:32,920 --> 00:29:35,400
you're already ahead of the curve, right, You've already made

487
00:29:35,400 --> 00:29:38,200
that decision. And if you haven't started your own business yet,

488
00:29:38,359 --> 00:29:40,640
this is a way to learn because you can ask

489
00:29:41,039 --> 00:29:44,920
key specific questions about business that are going to benefit you.

490
00:29:45,559 --> 00:29:47,599
And so we're going to be adding that module to

491
00:29:47,759 --> 00:29:51,480
our trade hog. But trade Hog specifically is for the

492
00:29:51,480 --> 00:29:54,799
tradesmen in the field. Okay, let's make that very clear.

493
00:29:54,880 --> 00:29:59,279
It's designed to bridge the gap of experience between somebody

494
00:29:59,319 --> 00:30:02,359
that's less knowledgeable in the trade but as being thrust

495
00:30:02,400 --> 00:30:05,480
in a position to make decisions and those that have

496
00:30:05,599 --> 00:30:08,839
extreme experience but are in tunnel vision and can't think

497
00:30:08,880 --> 00:30:12,359
outside of the box. So what the trade hog is

498
00:30:12,400 --> 00:30:14,599
going to do and you're on the in the field

499
00:30:15,279 --> 00:30:18,519
is when you run into those complex situations, you feed

500
00:30:18,519 --> 00:30:21,079
the hog, and the hog will bring back information. And

501
00:30:21,119 --> 00:30:23,279
if you like what you see and you see something

502
00:30:23,279 --> 00:30:25,559
else in there that you want to ask, you just

503
00:30:25,680 --> 00:30:30,119
do it. You ask it, you continue the conversation. And

504
00:30:30,400 --> 00:30:32,680
I think that at the end of the day, you're

505
00:30:32,680 --> 00:30:35,240
going to save money because you're not gonna be doing

506
00:30:35,279 --> 00:30:37,680
things twice. You're gonna be learning the codes. You're gonna

507
00:30:37,680 --> 00:30:40,680
be learning applications because you can ask it application questions

508
00:30:41,880 --> 00:30:45,400
and we have it tuned to be very specific, so

509
00:30:45,480 --> 00:30:47,160
we don't want it to just get give you what

510
00:30:47,319 --> 00:30:50,039
if stuff. We want to be very specific. But it

511
00:30:50,079 --> 00:30:53,759
is also trained on a logic model that's going to

512
00:30:53,880 --> 00:30:58,759
give you feedback okay, and so it's going to also

513
00:30:59,000 --> 00:31:04,240
you can use this trade hog to diagnose issues, like

514
00:31:04,279 --> 00:31:06,960
I can ask it, why am I only getting this

515
00:31:07,039 --> 00:31:11,359
amount of voltage here and explain what system it is,

516
00:31:11,400 --> 00:31:13,720
what could be the problem, and it will come back

517
00:31:13,720 --> 00:31:19,319
with information. Yeah, it actually will. And that's what trade

518
00:31:19,359 --> 00:31:22,440
hog can do. It can help you diagnosis things. If

519
00:31:22,480 --> 00:31:24,799
it brings back a code, for example, reference that you

520
00:31:24,839 --> 00:31:29,359
don't understand, then you could simply say, can you elaborate

521
00:31:29,480 --> 00:31:33,400
more on section whatever, whatever, whatever, and it will do that.

522
00:31:34,920 --> 00:31:37,240
And this saves you having to go out and get

523
00:31:37,240 --> 00:31:39,519
book after book after book after book and try to

524
00:31:39,559 --> 00:31:44,880
research these things. It's immensely powerful and at the end

525
00:31:44,920 --> 00:31:46,799
of the day, it's not going to take your job.

526
00:31:48,200 --> 00:31:54,000
It's going to make your life easier. I have even asked,

527
00:31:54,119 --> 00:31:56,079
let me give you an example. I have even asked

528
00:31:56,240 --> 00:31:59,839
chat GPT, the generic one, which again we will have

529
00:31:59,880 --> 00:32:04,000
on our website. We will have it on trade Hog

530
00:32:04,079 --> 00:32:07,079
for all members very probably before the beginning of the week.

531
00:32:07,440 --> 00:32:11,079
We'll work it on that Monday. That generic one. For example,

532
00:32:11,200 --> 00:32:15,240
you could ask it create me a one page contract

533
00:32:15,720 --> 00:32:19,759
for my electrical contracting business, and it will create a contract.

534
00:32:21,400 --> 00:32:26,920
I have asked it before to create a privacy statement

535
00:32:27,359 --> 00:32:30,559
for my website, and I give it my website, It'll

536
00:32:30,599 --> 00:32:33,440
go look at your website. It'll pull back the information

537
00:32:34,640 --> 00:32:37,119
and give you a privacy statement that you can post

538
00:32:37,160 --> 00:32:40,079
on your website. Now, I'm a believer that anything that

539
00:32:40,160 --> 00:32:43,160
comes back when it comes to documents like that that

540
00:32:43,319 --> 00:32:47,319
I proofread and check it because it sometimes I want

541
00:32:47,359 --> 00:32:51,000
to add personal flavor to it. But the interesting thing

542
00:32:51,039 --> 00:32:52,799
is you can ask and say I did not like

543
00:32:52,880 --> 00:32:55,680
that version. Can you create me a new version and

544
00:32:55,759 --> 00:32:58,839
focus on this, and it will change it for you.

545
00:32:59,599 --> 00:33:02,880
That's the beautiful thing about introducing it into your business

546
00:33:02,920 --> 00:33:06,480
model is it's going to save you marketing. It's going

547
00:33:06,559 --> 00:33:11,400
to save you creating copy material, reviewing copy material, making

548
00:33:11,400 --> 00:33:16,400
sure all your material is accurate, grammarly, properly done. The

549
00:33:16,440 --> 00:33:20,480
great structure you can ask it to create HTML to

550
00:33:20,559 --> 00:33:23,440
put on your website. You can ask it to do

551
00:33:23,599 --> 00:33:27,319
so many things that there is no way it's ever

552
00:33:27,400 --> 00:33:30,480
taking the place of the construction industry. Is just going

553
00:33:30,519 --> 00:33:34,759
to enhance it. Now with trade hog, our biggest focus

554
00:33:34,839 --> 00:33:37,680
is making sure we have what's called smooth transition of data,

555
00:33:38,200 --> 00:33:41,000
and that means try to bring you back results that

556
00:33:41,799 --> 00:33:46,640
are more concise for the situation that you're asking about,

557
00:33:47,000 --> 00:33:49,279
with the hope that you're going to be able to

558
00:33:49,559 --> 00:33:54,480
type a response in order to filter it down if

559
00:33:54,519 --> 00:33:57,000
you need to, or for something that you need to

560
00:33:57,200 --> 00:34:01,640
ask about it those type of things. That is the

561
00:34:01,720 --> 00:34:04,720
concept of what trade hog is all about and why

562
00:34:04,799 --> 00:34:07,319
we we cited to invest in it and grow it,

563
00:34:07,839 --> 00:34:10,679
and why we're promoting it. The reason we're going to

564
00:34:10,719 --> 00:34:16,840
add the additional one is we want to make sure

565
00:34:17,519 --> 00:34:22,760
that we give the members who are subscribers extra benefit

566
00:34:22,880 --> 00:34:25,639
because again we want to get you away from purchasing

567
00:34:25,679 --> 00:34:29,639
things like chat GPT. We want you to purchase trade hog.

568
00:34:30,360 --> 00:34:33,960
We're very honest about that. But in that model, we

569
00:34:34,000 --> 00:34:36,519
want to give you everything that you could get from

570
00:34:36,559 --> 00:34:39,280
a chat GPT for the same price, plus we want

571
00:34:39,320 --> 00:34:41,840
to give you the more enhanced one for the trades,

572
00:34:42,920 --> 00:34:46,079
so that as a contractor and that's all we focus on,

573
00:34:46,119 --> 00:34:48,480
by the way, we're not trying to be chat GPT.

574
00:34:49,159 --> 00:34:52,320
What we focus on as contractors. We focus on plumbers,

575
00:34:52,360 --> 00:34:55,480
mechanical builders, anything in the trades. We want to give

576
00:34:55,519 --> 00:34:59,599
you the tools to bring specific technical questions to the

577
00:35:00,239 --> 00:35:03,760
so you can answer them and resolve your issue. But

578
00:35:03,840 --> 00:35:05,440
we also want to give you another back end for

579
00:35:05,480 --> 00:35:07,440
you to be able to use it to create contracts.

580
00:35:07,519 --> 00:35:11,639
Look at letters, review contracts, have it automatically review, upload

581
00:35:11,679 --> 00:35:14,159
your PDF and let it analyze it for you. And say,

582
00:35:14,599 --> 00:35:16,920
maybe somebody gives you a contract and you want to

583
00:35:16,960 --> 00:35:19,840
take it and load it in. You load the PDF

584
00:35:19,920 --> 00:35:22,599
in and ask it to bring back the key summary

585
00:35:22,760 --> 00:35:25,519
of this contract, and it will read the contract for

586
00:35:25,559 --> 00:35:29,119
you and give you a summary. Believe it or not, folks,

587
00:35:30,199 --> 00:35:33,440
that's what we're doing and it's just amazing. So there's

588
00:35:33,440 --> 00:35:37,440
no way that this is bad for you. And nineteen

589
00:35:37,519 --> 00:35:40,000
ninety five is our best plan. That's the cheapest plan.

590
00:35:40,079 --> 00:35:43,760
The premium gives you a little more searches, but at

591
00:35:43,760 --> 00:35:46,199
the end of the day, the basic plan is what

592
00:35:46,280 --> 00:35:48,639
most people go with. Nineteen ninety five a month. I

593
00:35:48,639 --> 00:35:50,519
don't think you can go wrong, especially we're going to

594
00:35:50,639 --> 00:35:52,760
keep adding to it, adding to it and adding to it,

595
00:35:53,760 --> 00:35:56,559
and the price is staying where it's at. We're very

596
00:35:56,559 --> 00:35:59,760
comfortable with the nineteen ninety five a month, very comfortable

597
00:35:59,760 --> 00:36:01,199
with it. We think that it's going to be the

598
00:36:01,199 --> 00:36:07,320
best investment that you'll ever make. So let's end this

599
00:36:07,639 --> 00:36:12,119
kind of talking about AI growth from we're moving from

600
00:36:12,599 --> 00:36:16,960
general searches and search engines like Googles and all those

601
00:36:16,960 --> 00:36:21,960
type of things that are rapidly unreliable and can and

602
00:36:22,039 --> 00:36:24,480
can be gamed if you will. In other words, if

603
00:36:24,480 --> 00:36:26,000
you pay a certain amount of money, you can be

604
00:36:26,039 --> 00:36:27,599
at the top of the search engine, so you can

605
00:36:27,639 --> 00:36:30,920
be found. So we're trying to get away from a

606
00:36:30,960 --> 00:36:36,320
gamification of a search engine and being more field specific,

607
00:36:36,719 --> 00:36:41,119
and that's what Tradehok's doing. It's more fields specific. We've

608
00:36:41,119 --> 00:36:43,159
also created an app that you can load on your

609
00:36:43,199 --> 00:36:47,920
phone and so it keeps it centralized, and so that's

610
00:36:48,400 --> 00:36:52,360
kind of of our focus. It's AI driven and learning,

611
00:36:52,400 --> 00:36:54,800
and it adapts to the new codes, the materials and

612
00:36:54,840 --> 00:36:58,480
everything that we feed into it. New technology, evolving changes

613
00:36:58,480 --> 00:37:00,400
to the code. All that stuff gets fed into the

614
00:37:00,440 --> 00:37:03,079
model and it just gets smarter and smarter and smarter.

615
00:37:04,519 --> 00:37:09,400
The problem with search engine searches, and even with integrated AI,

616
00:37:09,840 --> 00:37:12,760
it's a very watered down generic response and we're looking

617
00:37:12,760 --> 00:37:16,119
for very technical responses. It just is what it is.

618
00:37:18,719 --> 00:37:23,719
AIS impact on training and knowledge retention. AI is an

619
00:37:23,719 --> 00:37:26,719
on demand mentor. It's always there, whether you're an apprentice

620
00:37:26,760 --> 00:37:29,920
or a seasoned professional. It is always there to autonomously

621
00:37:30,000 --> 00:37:33,719
give you advice and make recommendations based on what you

622
00:37:33,840 --> 00:37:36,079
feed in, and it's going to analyze it and verify

623
00:37:36,119 --> 00:37:40,039
it and spit out logical data okay. As Spock would

624
00:37:40,079 --> 00:37:42,920
say in the old Star Treks areas, it's logical and

625
00:37:42,960 --> 00:37:44,480
that's what it's going to be looking at. And it's

626
00:37:44,559 --> 00:37:48,280
up to us as good stewards of this AI modules,

627
00:37:48,800 --> 00:37:51,639
to keep training it in order to make sure so

628
00:37:51,679 --> 00:37:55,639
there will be constantly changing, changing, changing and evolving our prompts.

629
00:37:55,679 --> 00:37:59,320
It'll be evolving our back end. It'll require us to

630
00:37:59,360 --> 00:38:03,000
make a signal investments in the AI open AI structure.

631
00:38:04,400 --> 00:38:07,119
We do not use deep seek okay, which is a

632
00:38:07,199 --> 00:38:10,360
Chinese model, a very intuitive model, but we do not.

633
00:38:10,599 --> 00:38:12,519
We don't integrate that and we have no plans to

634
00:38:12,559 --> 00:38:18,880
ever integrate that because of data retention. But it also

635
00:38:19,159 --> 00:38:24,880
reduces the learning curve because you can ask specific questions

636
00:38:24,960 --> 00:38:30,280
to an AI model. Right, So, our very significant change

637
00:38:30,320 --> 00:38:34,400
that we're making is adding a second search module, and

638
00:38:34,440 --> 00:38:38,920
that search module is the generic module for contracts and

639
00:38:39,000 --> 00:38:41,320
all those other generic stuff. But when you need it

640
00:38:41,360 --> 00:38:44,280
in the field, you're going to use trade hog. That's

641
00:38:44,360 --> 00:38:46,039
just the way we want to tailor it. But we

642
00:38:46,079 --> 00:38:47,880
want to give you the best of both worlds. Again,

643
00:38:47,960 --> 00:38:49,960
I always want to give you more. And so if

644
00:38:50,000 --> 00:38:53,400
you're paying nineteen or twenty bucks a month for chat GTP,

645
00:38:53,599 --> 00:38:56,320
that's a very generic model. Maybe you don't need all

646
00:38:56,320 --> 00:38:59,079
their other bells and whistles like Dally and all that

647
00:38:59,119 --> 00:39:02,719
for image illustrate creation and you're not into that. We're

648
00:39:02,719 --> 00:39:04,079
going to give you the answer to that. We're going

649
00:39:04,119 --> 00:39:07,400
to give you a very field specific code referenced, supported,

650
00:39:07,519 --> 00:39:11,280
validated AI model, but we're also going to give you

651
00:39:11,280 --> 00:39:15,159
access to a wide open, generic one that will tailor

652
00:39:15,719 --> 00:39:19,800
to the construction industry. Okay, we'll tailor it so that

653
00:39:19,840 --> 00:39:23,119
the responses don't bring back willy Wanka type of stuff.

654
00:39:23,119 --> 00:39:26,119
That it brings back stuff that's very relevant to your

655
00:39:26,199 --> 00:39:31,559
trade or contract. How contracts are structured for the trades.

656
00:39:31,679 --> 00:39:33,599
And it's going to look at that type of stuff.

657
00:39:33,880 --> 00:39:36,519
We're making that available as well starting next week to

658
00:39:36,639 --> 00:39:39,360
all of our members, that type of thing. Okay, So

659
00:39:39,400 --> 00:39:43,440
where's the future for the trades, Well, it's expanding access

660
00:39:43,960 --> 00:39:46,559
city and state specific codes. We're going to be feeding

661
00:39:46,559 --> 00:39:49,599
models in state specific that's going to help it learn

662
00:39:49,599 --> 00:39:53,920
even more. It's getting to the point where it understands

663
00:39:54,039 --> 00:39:58,960
natural language, understand the more precise answers that are spoken

664
00:39:59,079 --> 00:40:02,599
in a more live, logical flow. That's what we're working on.

665
00:40:02,840 --> 00:40:05,280
That's what our latest model tries to bring it back

666
00:40:05,320 --> 00:40:08,400
like you're having a conversation with a real person. That

667
00:40:08,480 --> 00:40:10,519
was a tricky one because you have to you have

668
00:40:10,559 --> 00:40:13,000
to train the model a certain way to get that.

669
00:40:14,599 --> 00:40:17,320
And at the end of the day, we will continue

670
00:40:17,360 --> 00:40:20,239
to evolve the AI as far as ARM projects are

671
00:40:20,360 --> 00:40:24,000
concerned here at Electrical Code Academy, and we want it

672
00:40:24,079 --> 00:40:29,280
to always be something that is very knowledge driven, decision based,

673
00:40:29,840 --> 00:40:35,199
technically substantiated results for trade professionals. That's that's what we're

674
00:40:35,199 --> 00:40:39,800
trying to do. Okay, So trade professionals don't need automation, Okay,

675
00:40:39,920 --> 00:40:43,760
you need answers. Trade Hog is being designed and it's

676
00:40:43,840 --> 00:40:48,119
powered by AI and we're using multimodel input or modality

677
00:40:48,159 --> 00:40:53,280
input and output to provide real time trade specific knowledge

678
00:40:53,320 --> 00:40:59,440
for electricians, plumbers, HVAC technicians, inspectors, home inspectors. Really, what

679
00:40:59,559 --> 00:41:03,599
trade is doing is it's serving as an intelligent research assistant,

680
00:41:04,679 --> 00:41:07,239
but it's helping bridge the gap between people that may

681
00:41:07,239 --> 00:41:11,400
be novice and professionals. At the end of the day,

682
00:41:11,480 --> 00:41:14,519
it's helping everybody make informed decisions in the field. That's

683
00:41:14,559 --> 00:41:18,840
going to be better decisions for our consumers. Okay, they're

684
00:41:18,840 --> 00:41:21,239
paying good money. It doesn't matter whether it's your first

685
00:41:21,320 --> 00:41:23,079
day on the job or you've been there for twenty

686
00:41:23,079 --> 00:41:26,400
five years. The customer doesn't care. The customer what's a

687
00:41:26,440 --> 00:41:29,599
good result, accurate result, and this is going to help

688
00:41:29,639 --> 00:41:31,639
you give them that and ultimately it's going to speak

689
00:41:31,679 --> 00:41:34,480
volumes for your company. So you don't have the simple

690
00:41:34,519 --> 00:41:37,599
mistakes that are made by the novice, and you don't

691
00:41:37,599 --> 00:41:40,000
have the professionals who aren't willing to think outside of

692
00:41:40,000 --> 00:41:42,480
the box. So it bridges the gap. And I think

693
00:41:42,519 --> 00:41:44,239
that's what trade hog does, and I think that's what

694
00:41:44,320 --> 00:41:48,159
AI artificial intelligence does, and that's how it can be

695
00:41:48,239 --> 00:41:53,119
brought into the construction trades without the fear that you're

696
00:41:53,159 --> 00:41:55,360
going to lose your job. That's not going to happen

697
00:41:55,920 --> 00:41:58,320
for executives. It's going to make your job easier. For

698
00:41:58,400 --> 00:42:01,480
the apprentices. It's going to make your job. Your understanding, terminologies,

699
00:42:01,519 --> 00:42:05,719
code standards, how it's applied, applicability, all that kind of stuff.

700
00:42:05,920 --> 00:42:09,679
For the people that work in your company. The AI

701
00:42:09,760 --> 00:42:13,079
model that brings, you know, not technical model, but the

702
00:42:13,079 --> 00:42:15,719
one that they use in their office. That one's going

703
00:42:15,760 --> 00:42:21,719
to bring the ability to have it write the contracts, proposals, estimates,

704
00:42:22,559 --> 00:42:25,599
be able to give you a marketing material. It can

705
00:42:25,679 --> 00:42:29,480
analyze certain things that you feed into it. All of

706
00:42:29,519 --> 00:42:31,840
those type of things are just going to make your

707
00:42:31,840 --> 00:42:34,639
company better. It's going to make your field, folks better.

708
00:42:35,360 --> 00:42:41,199
Everybody wins with AI. So let's not confuse AI with

709
00:42:41,599 --> 00:42:46,679
seeing the little robots walking around taking over humans daily tasks.

710
00:42:46,920 --> 00:42:51,880
That's automation AI. That's different than what we're talking about

711
00:42:52,199 --> 00:42:57,239
in making our businesses run better, smoother and more efficient

712
00:42:57,400 --> 00:43:02,760
and get the answers we need quickly and accurately. That's

713
00:43:02,760 --> 00:43:05,599
what you use trade on for. Okay, all right, folks,

714
00:43:05,599 --> 00:43:07,719
hopefully you got something out of today's podcast. I hope

715
00:43:07,760 --> 00:43:10,960
the individual that submitted it got what he wanted out

716
00:43:10,960 --> 00:43:13,800
of it. If you have any questions, you know, you

717
00:43:13,840 --> 00:43:17,599
can always go to trade hog dot net. Try it out.

718
00:43:17,639 --> 00:43:19,840
We have a free demo up there. You get to

719
00:43:19,880 --> 00:43:22,519
try it for a couple questions if you want to

720
00:43:22,559 --> 00:43:25,000
ask it whatever you want. Try to break the hog.

721
00:43:25,159 --> 00:43:28,559
Realize that it's a learning model. It will constantly continually learn.

722
00:43:29,440 --> 00:43:31,880
I tell you be very specific. If you try to

723
00:43:31,920 --> 00:43:34,079
break it by putting in jargon that it's not going

724
00:43:34,119 --> 00:43:38,559
to understand or slang that it's not really understood, then

725
00:43:38,559 --> 00:43:40,400
you're gonna it's gonna have a hard time because it's

726
00:43:40,480 --> 00:43:43,400
not geared to that. You have to be a professional.

727
00:43:43,480 --> 00:43:45,840
You have to kind of think about how you ask

728
00:43:46,000 --> 00:43:52,559
the question, and ask the question very specifically. I want this, this, this,

729
00:43:52,800 --> 00:43:56,119
give me the NEC references for this, this this or

730
00:43:56,159 --> 00:44:00,199
the International Plumbing Code i PC references for this. The

731
00:44:00,840 --> 00:44:03,239
ask what you want, and it's going to always bring

732
00:44:03,280 --> 00:44:06,320
back the latest published edition of the codes or the standard.

733
00:44:06,760 --> 00:44:08,719
If there's an earlier edition, you remember, you just got

734
00:44:08,760 --> 00:44:11,159
to ask for it, say I would like the version

735
00:44:11,239 --> 00:44:14,599
for the twenty seventeen NEC or the twenty fourteen AN.

736
00:44:15,320 --> 00:44:18,239
You got to remember that it is as I've said before,

737
00:44:18,679 --> 00:44:22,800
crap in, crap out. So if you intelligently put something

738
00:44:22,840 --> 00:44:27,719
in structured for an answer, then you'll get an intelligent response. Okay,

739
00:44:27,920 --> 00:44:32,000
always remember that with AI, it's can't fix stupid, but

740
00:44:32,079 --> 00:44:34,840
can help mediate it. And so at the end of

741
00:44:34,840 --> 00:44:37,440
the day, I think it's a great thing for our industry.

742
00:44:37,519 --> 00:44:41,159
So check it out trade hog dot net and remember

743
00:44:41,199 --> 00:44:44,039
all those out there that are subscribers, you're getting a

744
00:44:44,039 --> 00:44:46,960
bonus because we're going to be adding that generic model

745
00:44:47,039 --> 00:44:49,480
in there as well, which makes the need to purchase

746
00:44:49,519 --> 00:44:54,199
a chat a GPT pointless because you're going to get

747
00:44:54,239 --> 00:44:57,199
so much more with ours, and we're continually adding and

748
00:44:57,239 --> 00:44:59,840
we have added the attachment feature as well, So check

749
00:44:59,840 --> 00:45:09,440
out that folks. Till next time, Stay safe, God bless

750
00:45:26,039 --> 00:45:26,280
as

