102: How Embracing AI Can Transform Your Business & Daily Life with Csek Creative's Rob Cupello

Morgan Freeman: Welcome back to the Kelowna real estate podcast. I am your mortgage broker house. Taylor Atkins.

Matt Glen: How's it going? Morgan Freeman?

Taylor Atkinson: Oh, you knew who I was.

Matt Glen: Yes. I first the sounded like I'm then I thought it was maybe some World War two I am. Ira, dude, but yeah. I like it.

Taylor Atkinson: So on point with our show today, that's AI. You know, one of the many things you can do with AI. This is not productive use of AI at all. But it's interesting.

Matt Glen: I thought it was pretty productive.

Taylor Atkinson: Yeah. So we have on Rob, who honestly, he put on a presentation, like, six, seven weeks ago at a BC Lender Association Conference for me. And he spoke about AI, and it blew me away. Like, some of the stuff that's going on is pretty cool. And I've I've always kinda been sitting on the fence.
Like, I think it's interesting, but what are your thoughts on AI right now?

Matt Glen: Honestly, I'm trying to figure out what jobs are not gone. The list kinda narrows. Please start thinking about it more and more. I think that the lower hands on are probably the safest. That's what I think of first things when I talk to people like this and learn about it.
It's crazy. What's happening?

Taylor Atkinson: Yeah. Something that blew me away was one there was, like, an influencer, an AI influencer out of Barcelona, I think, making, like, ten thousand euro a month. Image generated, everything's just AI, and you wouldn't be able to tell the difference, which I thought was, like, pretty wild. And then the other one, he calls them agents. But it's essentially, like, your virtual assistant.
They can book travel, respond to emails, take phone calls, like and the more you work with them, the more they, you know, get in tune of what your needs are and as wild, some of the stuff that you can do. So, yeah, Rob, he does a few things. He'll do, like, six week coaching courses, or he'll come and do, like, a whiteboard session and, you know, audit people's businesses. I think he has, like, a plumber that he's worked with where the plumber just goes and he's a plumber now. And all his task management calendar, everything gets booked and, you know, clients reach out and it's all AI, January, they just say, like, what's the issue?
And basically, the plumber wakes up in the morning and goes and does the job. Like, stuff like that is pretty wild to me.

Matt Glen: It's pretty crazy because, like, AI is pretty good right now, but, like, it's so new. In a couple of years, the AI assistance online ones will be, like, flawless, especially, like, texting. Calling, maybe not as the calls are a little bit more personal. I guess if you're just talking to random people, book an appointment stuff, that'd be a deal. But, like, I'm not gonna get hit at AI to call you and see how should we get most kind of thing.
Yeah.

Taylor Atkinson: I don't think we'll ever Bob knows. But I don't think we'll ever, like, lose touch of that, like, you know, people want that personal relationship.

Matt Glen: I Honestly, I think that might be a skill

Rob Cupello: to work on to set yourself apart. It's just being somebody that can talk to their human beings.

Matt Glen: And I guess talk to other AI as well. Yeah.

Taylor Atkinson: Yeah. Where do you get a, like, prank call to a I bots and just have them talk to each other? Mike.

Matt Glen: Yeah. Well, you know, maybe I will. YouTube, and

Taylor Atkinson: they I bet you they'd figure it out within ten seconds.

Matt Glen: They could figure it out. That means that other people, I guess, you could figure it out if you were talking to a a bot or not. Yeah.

Taylor Atkinson: I guess, like, whoever's not using AI right now, you know, get out and play with that a little bit. I mean, chat GPT is the surface of it.

Matt Glen: But why don't you say that? I was talking to my sister versus over for the weekend. I was like, so what do you guys think about chat GPT? They're like, what's that?

Rob Cupello: No

Matt Glen: idea. Like, none at all. I don't try to slaved or heard what it was. And, like, I'm not good at explaining what AI is I've learned.

Taylor Atkinson: That's why we did the show. Just send her the link to the show. There you go.

Matt Glen: It's hard to explain how good it is and when it does someone that just has no idea. So Yeah. I need to work on that.

Taylor Atkinson: And I think I mean, specific to real estate, there's a lot of really good applications

Matt Glen: Oh, yeah.

Taylor Atkinson: You know, pulling data and CSI maps and stuff throughout the city and figuring out square footage, what to build, and cost of things, and foot traffic on commercial places. Like, it's just endless the amount of data that's available that, like, would take weeks and weeks for a company to do research. Hey, I can do it in mirror hours.

Matt Glen: You know, else I found just playing with it over the last studs since we recorded the show. It was like, if you don't even know what to do, just ask AI like, what do I start? What do I do? Like, how do I use you to further my business? Well, I'll start with this.
I mean, how do I do that? And I asked all those questions. It's like, once you learn how to use this, it's like there's not really a reason to not be good at it or, like, use it to full effect, or at least, it's not as full effect, but, like Yeah. Use it to a more effect

Taylor Atkinson: yeah, use it to teach you how to use it. Yeah. I mean, something I thought was pretty funny. I still type even though we had this conversation with Rob, I still type it. I'm, like, please thank you.
Like, I'm, you know, I'm very nice to AI, and Rob was, like, it's such a waste of money because, like, the amount of power that, like, the computers have to use to, like, process the police and thank you and all, like, the gibberish you put in. So I think learning how to use, like, prompts and, you know, make the proper request is gonna be really important.

Matt Glen: Well, as it learns from you, like, Yeah. It talks back to you the way you wanna be talked to. Yeah. I guess if you like to use please and thank you. So it's gonna start using them back to you.

Taylor Atkinson: Yeah. Oh, that'd be good. I think the way I look at it is it takes a large amount of time out of anything that I'm doing, like, if I wanna build a spreadsheet, I can get it to do, you know, seventy or eighty percent of what I want it to do, and then I fine tune it afterwards. It's not gonna be perfect. But, you know, we're our people.
Right? Like, most people, if you ask them to do a job, like, Maybe it comes back great, maybe it doesn't, you just you build off of that.

Matt Glen: It does make mistakes. So so for our hockey team, I'm starting up the hockey team, and I took a screenshot of the cost. So, like, not even in the time, I took a screenshot of the cost, uploaded it and said split this between sixteen people add the jerseys in, add this in, and then give us a payment schedule. So it did it all. Like seconds, it was pretty cool.
Like, all off a screenshot. A couple days later, I realized that the math was wrong. Like, what? So they're not our overlords yet. But it's ten of them that way.
But, yeah, double check it for sure.

Taylor Atkinson: I think we should just jump into the show because Rob was great, and he's very accessible. So if people wanna reach out to him and talk about the stuff or if you have a a small business that you feel like you should be taught some AI or implement some of it, He's the guy.

Matt Glen: Also, AI is such a broad topic. Like, even us, like, we're trying to keep it real estate related. And, like, first question is, are we all doomed? Right? So there's so much to do.
There's so much to hear about Segnos is just a tiny little tip of the iceberg for what it is. Yeah. Interesting still.

Taylor Atkinson: I mean, we're affected by data. We're, like, Siri on your phone. Like, there's so much stuff that is AI that people probably just don't even think they're using, but Yeah. We are in some capacity. So Yeah.
Yeah. Definitely. Anyways, enjoy the show, guys.

Matt Glen: Alright. In this show, like, every show is sponsored by Century twenty one Assurance Realty. We are residential sales, commercial sales, leasing, residential property management. We do it all, and we do it everywhere. Southern interior, basically, entire interior.
We're there if you need us if you'd look at her an agent or you're looking for a new brokerage, give us a call.

Taylor Atkinson: Alright. Welcome to the show Rob Capelo. How's it going? Good.

Rob Cupello: How are you guys?

Taylor Atkinson: Good. Did I butcher that or is that alright?

Rob Cupello: Come in again. Come in again. Come in again. I love

Matt Glen: to walk you

Rob Cupello: down though. Come in again.

Taylor Atkinson: Are you going to Italy anytime soon there's a halo group? We're trying to go to Greece, but close by. Yeah. So, Rob, like, I'm so fascinated. You came and did a presentation at our BC lenders, like, for mortgage brokers a few weeks back.
Right. I've seen a couple AI presentations, and they've been, like, interesting, but I saw yours, and you were just so passionate and, like, it just resonated me for whatever reason. So we had to have you on the show. Real, like, simple question that's probably not so simple. Can you summarize what is AI?
Like, what is AI?

Rob Cupello: And that's a great question. And I think it's funny because I'm thinking a lot of people even asked that question. So it's a great place to start. But for me, AI, which is obviously artificial intelligence, but it stands for people that don't know. Yeah.
Really is technology there. It tries to mimic human intelligence is really what it is. It's technology that's learned from data that we've all put into the Internet. These tools have all been trained on the years and years of everything we've ever done online. They'll make decisions and they get smarter over time.
That's where I think where people are not understanding, like, these tools as they learn, they're getting smart and right now, they're testing higher than a human expert. Right now, they can pass bar exams. They've surpassed human intelligence. And for me, the best way to explain from layman terms is think about you're hiring a really consistent employee that doesn't need coffee breaks. Like, that's really the best way to explain it.
It's able to take on tasks. It's able to take on writing. It's able to take on having conversations really depending on what you're doing. And, you know, we're not talking about robots right now. They're coming.
These are just tools or tools that can really help you sort of through the mundane task. But they're trying to sort of mimic human intelligence is really what they're doing. But I always try to say, think of all of this as an employee that's sitting beside you. That's what AI is today. In my mind.
Right? We can go down rabbit holes of robotics and spaceships and all that sort of stuff. But let's ground it to our community. That's what AI is.

Matt Glen: Last time I was talking to my wife, she was on chat GPT, and she's like, how does this work? Like, well, it's a large language model. Basically, it just scrapes all the information from the Internet and it works. It's like, well, how was that different than Google? I'm like, I don't know.
I I don't know. I don't know Ashtev GPT.

Rob Cupello: It's funny you see that. Like, if I teach a class, And at the end of the class, I say, all the stuff I just taught you, you couldn't just ask chat to speak to you anyway. So so the difference to me, the difference is that Google will give you typically historically, I searched for something. It gives me a listing. Right?
It doesn't add, like, much more value than the listing where chat, GPT, I can say, summarize an email, create a LinkedIn post, analyze this video, here's my financials. What do you see? Can you go book my flight. I'm going to Mexico book. My hotel, like, that's a difference between historical Google because you go to Google now, a little bit different.
They got AI embedded into it. If you guys start seeing that now, even downloaded a PDF document today, Google Gemini pops up in the side and says here is a summary of this document you downloaded. Would you like to ask you the question? Right? So that's AI.
That's the difference between AI and what you do in Google. Right? So but it's a good question. It's a valid question. Right?
It's a valid question because it's information and information out. So

Taylor Atkinson: How long has AI been around for? And what is the catalyst? Like, in the last few years, it just seems like now it's so mainstream. Like, everyone knows about it, but it's been around for, what, fifteen years?

Rob Cupello: No. Actually, AI has been around since the fifties. Oh my god. It came out with the Turing test it's called. So back in the fifties, there was a scientist, Alan Turing, that said that he thought machines could learn.
And he came up with this thing called the Turing test that they used still today. It's a set of questions. You ask a machine and you ask a human. And the human needs to decipher if it's a human or it's a machine actually answering the questions called the train test. They use it today to test.
But it's been around since the fifty. I think the actual word artificial intelligence came on, like, nineteen fifty six, nineteen fifty seven. Don't hold me on it. We could ask chat, GPT. It's been around for a while.
So we've all used, you know, Siri on her phone. Like, that's all AI like Netflix is all here's the movies you might like, Rob, because you watch these. That's AI. Right? That's all.

Matt Glen: Like, algorithms or kinda like AI?

Rob Cupello: Correct. Right? It's powered by AI, but it's been around for a long time. And if you look at other graph that shows sort of the history of sort of what's happened, but where are these tools of really expand? Is it a needs massive amounts of data?
Right? So it needs data, it needs processing power. I don't know if you guys saw the article. Every time we go into chat QPT, they say thank you and please, we're costing thousands of dollars. Because it's processing every time you type something in the chat QPT, it's power.
Right? So he needs the power. So you needed the data center.

Matt Glen: Mine your p's and q's.

Taylor Atkinson: That's hilarious because I've been using it a lot lately. And I keep putting him, please. And I'm like, what am I doing? Like

Rob Cupello: I knew too. Because that my thought is if the robots come and kill us one night, they're nice to know. But, you know, I treat it like an employee, so I please, and thank you. And I'm the weird guy that says, good morning to my chat. You can't I do.
But it needed the power, like, to get there. And, really, what happened late twenty twenty two. Open AI dropped chat g p t. I remember sitting around at the dinner table, hear about chat g p t, and we start, like, asking the questions, like, with the kids and we're, like, whoa. Like, this is freaky.
Right? And then they'd really stem from there. So I think it's been there, but I think everything's catching up now. And COVID was the catalyst. Right?
We all sat in our house. We all went online. And these open AI said, there's an opportunity here as a really like, now we got processing power. We have the data. And off it went.
Like, Chachi Phoebe was a catalyst. Like, from there, now all these other ones have sort of really kind of come into the spotlight. But it was sort of late twenty twenty two when we saw the broadcast, but it needed the power. Like, they're literally spending. I don't know if, like, the bill that they did in the US from Trump first took over, trillions of dollars building data centers.
Because right now, that's a race as you need the processing power to power these. Every time you create an image, you create a video, you create a blog post, it takes processing power of data. Right?

Taylor Atkinson: So is that the current limitation? Like, do we have enough data pool to pull information from? Is it now just like the processing power?

Rob Cupello: Well, you really get real crazy into this. So chat CPT is consumed all the data there is right now.

Matt Glen: This is probably outdated, but, like, it only went up to, like, twenty twenty two or something. Correct? Is it present? No? Oh, I see.

Rob Cupello: Well, because what it did is they stopped training in twenty twenty two, but now it just accesses real time data. So it's been trained to twenty twenty two. But now you ask us something, what the weather is today, you'll just go find that information in real time for you. But where it's going, like, we hear the word AGI, artificial general intelligence, is that that's gonna be the last invention humankind will ever have to make because these tools will create their own knowledge.

Matt Glen: Yes. It's hard to wrap

Rob Cupello: your head around it, but we will never have to create knowledge because these tools are gonna create because they're smarter than us. They're gonna be able to detect cancer way before we can, and it's going to be able to do that. So right now, yes, that's your question. It's consumed all the data. It's learning in real time, but now these tools are gonna start creating their own knowledge.
So, again, it's hard to wrap your head around that, but they're gonna create inventions. They're gonna create the next best insert whatever, the tools well. So we're just gonna be all on the beach. We're gonna be all the jobs. We're gonna be hanging out surfing whenever you wanna do golfing and let the robots

Matt Glen: Well, nobody's had to write a realtor listing remark for a few years out.

Taylor Atkinson: Yeah. I mean, I guess it's a pretty, like, hard question, but what do you think is gonna happen to society? Like, is this is this positive, negative? Like, are we just gonna become slugs on the earth and, like

Rob Cupello: I mean, everyone has their own opinion on where that's going and how fast it's gonna go. Right? I mean, I think that in the short term, we're seeing automating businesses. We see people that they're starting businesses of a team of one. Like, we're gonna see probably the first you know, million trillion dollar business started with a team of one.
Like, we're starting to see that that's going to happen. I think today, we could automate pretty much a workflow of almost any business using AI technology. They can answer phones. They can prospect. They can fill out forums.
They can, like, think about your personal assistant is probably the best thing. I think what we're seeing. I think from us, like, what's gonna happen to humans? A concern to happen. I know we're gonna probably chat about this a little bit is that things have evolved.
Right? Like, we don't farm like we used to. We joke before we came on. Like, we used to climb up light posts and light film. Like, we don't do that anymore, but the problem is that technology took a while to come in years to adopt where AI it's like, there's a billion dollars a day going to the AI.
It's coming so fast. Humans aren't able to catch up. So if it's replacing my job, it's gonna replace my job so quickly that I haven't been trained to do something else. That's where that displacement's gonna happen fast. And I don't have an answer for that.
Like, they're talking about universal income. Right? Universal basic income. They're gonna need data we're all gonna be unemployed. I'm being facetious for some of this will keep our job.
Yeah.

Matt Glen: There'd be, like, five of us employed with, like That's right. That's right.

Rob Cupello: I mean, I don't know where it's going to go, but we're seeing, like, robots or creating robots today. If I had the answer, you know, I'd be a billionaire. But, you know, I feel like Today, we're seeing it. It can really help our businesses, and people need to start looking at that. Over the next few years, I think we're gonna start seeing a lot of wearables.
That's where OpenAI is investing in right now is that you're gonna be wearing a pin. You don't have to go to your computer. You're gonna be wearing a pin that you're just gonna talk to. Or you're gonna be wearing a watch or phone or eyeglasses that you're gonna talk to. So it's getting embedded in our day to day.
In the in the vision Yeah. Division of where it's going to singularity, which I think people don't wanna talk about because it's scary, but we never thought that we all carry a cell phone in our back pockets. Right? And we all now, but singularity means that think about a chip embedded in us that you're just gonna think and then AI's gonna be one with us. And that's the vision of where they wanna go with this.
In that chip, well, dictate, hey, Rob, you know what? You need to go to the doctor today or a year low on this. You know? And this is down the road. I don't, you know, be alive to see this.
I'm thinking we will, that you can always come to that, but that's where it's going.

Matt Glen: So here did you go see a doctor today? Just kidding him to meet.

Rob Cupello: I know they opened a hospital. I think it was a pilot that all AI run. I know we talk about data and no one can argue that our medical system is not the best it can be. The education system is not the best it can be. They're unemployed overworked.
It's not like, it doesn't work. We're not producing students to come into workforces that are ready to do this. Right? So if they can help that side of a takeaway, you know, it can create a blog post that's easy stuff. It can literally change how we run-in our society.
Like, I'm all for that. Like, I'm all for that. If we can detect cancer sooner and you can live twenty healthier years, why not? Like, why are we scared of it? Like, let's embrace it rather than be scared of it.
Right? It's

Matt Glen: funny we have, like, the hospitals like an example where you have, like, The specialists are almost the easiest to replace them. The people like the nurses and the porters

Taylor Atkinson: Yeah. And

Matt Glen: the hardest to replace crack. Maybe not the porters. That'd be pretty easy. But, like, the nurses and massage therapists and stuff like that. Seems like they're kinda safe or safer.

Taylor Atkinson: Anyway, So, yeah, like, on the medical side, I was chatting to Scott Pexford the other day, who's like my managing broker. We've had him on the show. We're just chatting some health stuff. He's always into health, and we're talking about DXa Scan. I was like, oh, yeah.
Like, I wanna get one, but, you know, I wanna have like, a doctor to follow-up with it and do trend monitoring and kinda see where it goes over the next few years. He's like, yeah. Or just drop it into chat EBT. He's like, that's what I've been doing every six months. So I'll go get one and just throw it in there and that gives me, like, hey, I wanna train for this.
I wanna gain weight. I wanna lose weight. Like, what do I do? Here's my scan. That's incredible.
Like, that's really accessible to anyone.

Rob Cupello: Well, and I think the difference is if you think if you go see a specialist, the knowledge for the specialist is, you know, the knowledge through school and the knowledge of the patients that he or she have seen. Chat JBT is trained on every specialist in the world that's ever existed. And you can insert accountant whatever, like marketer. It's trained on all of it. My knowledge comes from my life.
Right? Like and I'm exposed to whatever I've exposed to in the world of business. But I'm not exposed to what everybody has. You guys are different. If we go to overseas, it's different.
Like, there's all these other things. It's been trained on all of that. And that's the tower of that. Plus, it's also, you know, where a lot of Government is trying to get involved is what's legal, what's not. Right?
Who owns this? Who doesn't own this? Like, is it okay to train on all the data out there? There's court cases right now that there are, like, hey, you trained on YouTube videos, who you don't own the YouTube videos Google does? Not like, well, do they?
The way you own it, because aren't you the one that posted on YouTube? Doesn't seem like the cat is out of the bag there? Yeah. Yeah. Yeah.
Exactly.

Taylor Atkinson: Well, that's a great question that, like, that I have is how is this, like, regulated? Is it out of, like, global scale?

Matt Glen: Is it, like, nationally? Like, no regulation broke?

Rob Cupello: Yeah. Well, right now, I think the EU, so Europe has really tight regulations. Like, so a lot of the tools that we use here, you know, a lot to even use them in the EU. They never really strict. Wow.
Let's see around AI. We're a little bit of the WOW, WOW West. I think we're still trying to figure it out. I think Canada typically follows the EU, which scares me a little bit because I think we can't put handcuffs on all this. Like, we need to keep developing these.
US is all in. Like Elon Musk, like, they're all in. Like, there's no Sam all in. These guys are not stopping. Right?
Because the race for US is against China right now in these tools for sure. This is, like, you know, the first people are going to the moon and first people off to Mars. Like, it's a race for this. Right? But here, my concern is that we have to be blunt.
We have, you know, eighty year old white males and the Senate of the US trying to develop a policy around AI, and they probably don't even turn on their computer. Like, I think they have the wrong people in the room making those decisions. Like, I do. Right? You need the Sam Malman's, the Elon's, and I don't care if you like these people or not.
That's not the point, is that you need to have those people in the room making these decisions because you're the one developing it. You can have someone that you know, I don't know if you saw the TikTok hearings and the guy thought, yes. Like, you know, like, come on. Like, call in your radar.

Matt Glen: It was probably, basically, for some good scrolling that day.

Rob Cupello: Yeah. Right? Like, you have the wrong people in the wrong group making this decisions in my mind and that sort of stuff. And I'm scared that we're gonna make decisions that, you know, it's best for them, not what's best for, like, the rest of us that are out there. And that's pretty typical from government policy anyways, but that's a whole different show.
AI

Taylor Atkinson: seems to, like, be fairly intimidating for a lot of people for various reasons. Like, what should people be dipping their toe in? What's like an easy no barrier of entry? Hey. Try this tool.
This will impact your life better. Where would you start if someone just wanted to learn?

Rob Cupello: Yeah. I think for me, the baseline is a large language model. So, I mean, I'm a chat, GPT guy, twenty bucks a month. I recommend paying for it. It adds a lot I mean, it's twenty bucks US a month.
So it's not a lot. I would say to dip your toe, that's what I would start with. And and start asking in questions. Like, just start simple. Like, ask it to analyze your email and come up with a summary.
Ask it to write you a blog post, ask it to, hey, this is who I am. Give me five ideas that I can post on LinkedIn. Like, just start dipping your toe, and I think that would be the starting point for me. To me is my assistant. It's my CTO.
It's my CMO. It's my CFO. It's everything. Like, I talk to him and say, hey. Like, I have an idea.
How about anything? That's how I use it. And I find the power of it. It's crazy. You guys mentioned sort of the health side is last week.
I started talking to him. I'm like, ask me questions, you need to ask to put a plan together for me so I can eat healthier and work up. And it started asking me questions. And it came out with the most amazing plan with supplement. Now, you know, I'd probably take it to a doctor and say, hey, this nothing is healthy or not, but blewing away what it came back with.
Right? So that's a good way to start just dipping your tool into these to make sure that you're you're comfortable working with it because there's there's only thousands of tools, but that's where I would start. This is a large language model. It could be chat JPD is the most common. There's preproxages.
Trogers all these, but I would say that's where you should start.

Taylor Atkinson: Nice. Yeah. Something in your presentation a few weeks ago you said that I thought was pretty fascinating. There's a book that you're reading is TRANSCEND. Sense in.
And you said, like, the errors in AI, like, people are worried that AI is gonna make errors, but it's actually just, like, a reflection as you as a human making errors because you're the one, you know, responding or putting in the data, which was, like, pretty interesting to me, you know.

Rob Cupello: And it truly is. I think this guy that wrote this book is Facebook, Cabelli, business name, he said, like, we're scared of AI because it's us looking in the mirror. It's all the good, the bad, the evil, everything that's learned on, and it's funny because I think we hold technology to a higher standard than humans because, you know, we have car crashes every day. People die on the highway all the time. We don't look at reforming that at all, but one autonomous vehicle has a crash, and we have hearings, We push the panic button.
We're like, clean tanks. Like, we hold it to a whole different standard than we do ourselves. I don't know. Have you seen any politicians ever lie on TV? Probably.
Right? So it's, you know, loosing nature. Like, oh my gosh. This thing is if you don't use it, we hold it to a different standard, and I'm not sure why. I don't know the answer on why we do.
But remember that these tools, we control them right now. Right? Like, it's learning from us, and that's probably my biggest concern is, I'm not worried about the AI tools. I'm worried about being in the right hands of the people that are actually using these tools. That's where I think it keeps me up more at night than the tools themselves.
I think the tools are amazing. They do amazing things. We just keep the tools at a higher standard than we do as humans. We always have this tech technology. We've always done that.
And I'm not sure why. I don't have the answer for that, but my pay grade. So

Taylor Atkinson: Yeah. I've started playing around with it a little more frequently. Like, I had it make a spreadsheet the other day, which I love spreadsheets. It pumped out a spreadsheet in, like, a minute. Yeah, there were some errors.
There's some things I wanna adjust, and I just told chat JPT, like, change those changes, and it did. That saved me, like, an hour. Another one I just use it for is comparing insurance policies. Mhmm. You know, hey, is my old policy?
This is the new policy? Can you highlight any, like, differences, red flags, and it just made like a chart apples to apples. Here's the differences. Here's here's why this policy is more superior or not.

Matt Glen: Do you just upload couple of PDFs for that?

Taylor Atkinson: Yeah. I just dragged in two PDFs and said, highlight the differences between these two insurance policies. And then, like, trip planning. I prompted it with, you know, hey, we wanna go to this area. This is the cost.
This is what we wanna do. Blah blah blah. And it drops in things from, like, credit, trip adviser, booking dot com, and it's wild. It's really cool stuff.

Rob Cupello: And now we say, like, what we're using is the worst these tools are ever gonna

Matt Glen: be. Exactly.

Rob Cupello: They're gonna list out their everyday. Like I said, that course I teach in teach in automation of a Class Day. It's so funny. Today, a big announcement came out one of the tools that I demo. So now, like, literally today.
So the class this afternoon is gonna get the latest and greatest of this new tool that came on. And literally next week, it'll be another tool and another tool. So it's hard to stay up on it. That's why I say, like, to me, chat JPT is sort of the baseline. The other tool is if you do a lot of presentation, there's a tool called Gamma, g a m m a, that's absolutely amazing.
You just put in the data and build your deck for you. Like, with all the graphics, all the charts, everything built, like, literally in a push of a button because I do a lot of proposals like, changes your like, it sounds a little, but, literally, I spent four or five hours, something to four hours to build. Now it's done within ten minutes, like fifteen minutes, you know, how gotta go get in it. And then to me, that's not the value, like, the value for our client is and paying me to build a deck. Right?
Like, a slide deck values know I can spend time actually in strategy and and working in their business and helping them rather than spending time trying to build a slide deck for them, which makes no sense. Right? It makes no sense. So, you know, even websites, so I'm replying to, like, you know, if you came to me ten years ago, we needed a website. It's, you know, they're seventy five hundred to fifteen grand and you're ninety days in.
We can turn around websites for thirty five hundred dollars and forty eight hours. You know what I mean? So it's a benefit to the client as well because the cost came down. And we can use these tools at our advantage. That's just a simple little, like, really, it's a website.
We're not talking about we're saving lives. Right? But that's how these tools have affected sort of the day to day on how businesses are run.

Matt Glen: So what do you think a person could do nowadays to kinda gear up for the future? Where is the safe bet right now? Like, should you just be learning with AI as much as you can? Or

Rob Cupello: Yeah. And that's a great question. I think from me, it's like, Yeah. Like knowledge. Right?
Knowledge is king, and I think don't be scared of these tools. A lot of them have free layers in them, so you can go and, like, set up an account and not pay and play around with them and see if they work for lots of them to do that. They typically will start charging when you activating them. I really believe that AI is gonna be just a common term. If you use AI and use automation, you're at an advantage or your competitor, that's gonna stop.
Eventually, it's just gonna be part. It's gonna be a bit because they're starting to get embedded in tools. But for me today is Yeah. Like, educate yourself. Like, go into chat GP, ask your questions, go to YouTube, watch videos, because everybody's different.
Like, even within your guys' industry, two real estate agents, the way you manage your business are gonna be different. Like, the tools might be the same, but your workflows are different. But I would say, yeah, just start educating. I think that's my biggest push right now. It's trying to get just people educated in what's out there, what you can do, how you can use these tools.
Don't be scared of them. If you're worried about privacy policy, you can turn a lot of the sharing off on a lot of these tools and just educate. That's step number one. And then step number two is actually start implementing them into your day today. Just pick one thing.
What's one pain in a butt thing you do? You're like, man, if I didn't have to do this day to day, we say and energy. Let's automate. Let's find a tool that will help you and then move to the next one. Move to the next one.
Like, we're automating a workflow for our dentists. Like, for our dentists. Like, so our jobs, we can automate it. Like, so in almost every industry, we can find value to automate things from there? Or what the industry is?

Matt Glen: What about things like working on, like, people skills face to face? Is there any, like, AI insulating skills that

Rob Cupello: you can think of that would be good? Yeah. It's interesting because I work a lot in TRU and and Cameron and UBCO and work them in some stuff. And one of the things that I've been noticing is, you know, I have kids. They have zero, like, interpersonal skills.
Right? Especially the ones that have really went through COVID through school. Right? They missed that a lot. I'm an old school person I'd like to be in front, try to travel and meet.
You can't replace that. Like, I really feel like that's the advantage she wins out over any of this technology because, you know, I was in the event last night, like, you meet people like, hey, I can't do that. Right? So I'm still a big believer of you know, I wanna work with you because of you. Right?
And I think where I see these tools is behind the scenes. They can help you with your operations. They can help you with your workflow. They can help you with your content. But that interpersonal skill I think is super, super important.
The one cool thing now I'll add about sort of tie in what your question is to there's tools out there today that would record our conversation as we're having this conversation today and give me feedback in real time. Hey, Rob. Like, in the twenty eight minute mark, you could have had more energy or you didn't hear the objection from the client. So they're actually becoming coaching tools for you. And one way, I use chat, GPT, because I use it a lot.
I'll ask it. I'll say, hey. What do you think I could do better? Knowing how I worked with you today, what are some things I could do better? And you'll come back you'll come back and say, hey, you could have done this or what about this or I'll record meetings and put them in and say, you know, coach me, whatever kind of presented better.
They'll do it for you. Like, it actually becomes your core

Taylor Atkinson: you gotta be very open and comfortable to be able to, like, take criticism from a computer.

Rob Cupello: Hey, like, I'm fine with it. Like, so I would

Taylor Atkinson: think Okay. And, like, you call it an agent. Like, an AI agent? Is that basically, like, your assistant? Is that in chat GPT?
Like, do you, like, buy the pro version? And then, like, that's essentially like, how do you, like, build this assistant? Good question.

Rob Cupello: And agents I mean, that's the buzzword right now. Like, a lot of people say agents. There's a couple of different things I'll unpack there. One is if you wanna create a digital twin of yourself, that would be more like an avatar where you can use. And I think I might have Slide one at the presentation, Taylor, wasn't sure, but that's your digital avatar.
So it's basically a duplicate of you. It could create content. You can upload a script. You'll read a script. You can put it on LinkedIn, whatever.
So that's a little bit different. Then there's probably two different sides when it comes to sort of the agentic side as one is you can create an agent that will do stuff for you. Right? You can say go in and post my LinkedIn, comment on my LinkedIn, whatever. That's one area of an agent.
Another area of an agent, it will, you know, is I'll answer the phone for you. So those aren't necessarily built in chatGPT. ChatGPT is the wrapper around it because it needs to be powered by something, so it needs to be powered by a large language model. But you're typically using another piece of software to layer on top of chat. You and they already failed.
Like, it's not like, you need to go code. There's ones that, you know, whatever. There's lots of agent software out there. And then the third thing is workflows. Right?
You can automate workflows. You can use tools like make dot com. Well, actually, you build an actual workflow, you'll take your work and automate it for you. So it's kind of a gentic. It's not a person, but it actually is automating the workflow.
An email comes in. It goes to chat JPT and writes it. It comes to you to approve it, it gets sent, it gets added to a database, it goes into a drip, and it'll automatically do that for you.

Taylor Atkinson: How long does it take to learn? Like, what's the evolution? Is it over a couple days, a couple weeks? Like

Rob Cupello: No. No. I mean, typically, if you just wanted to be, like, I think you bought on your website, you can do that in a couple days. If you wanted to really replace an act like you, we'd like to have about a thirty day run rate because you need to train it. You need to be able to give it data, like, you would record stuff like this in meetings and load your transcript in there.
So starts understanding how you talk, what your tone is? Are you professional? Are you not? Are you do you like to joke around? Do you like, it actually starts learning?
And then you can tell it not. You can say, hey, like, I'm known as sort of a little bit of the jackass in the office. And I'm witty. That's me. And I'm okay.
That's my style. But you might say, well, no. Like, you know what? In this meeting, in this context, you need to be more professional. So you need to train it to be that as well.
It never stops learning. Right? As you do more, as it do more, it's gonna learn more. It's gonna learn more. And then right now, like, chat GPT, I make very little changes to anything it does for me because it knows me, like, almost no changes to anything I do when I first started using it, I would almost, like, rewrite it all because it just didn't know my tone, it didn't know who that was.
Right? So Oh

Matt Glen: my gosh. So how long do you think it'll be? Or you could jump on a podcast like this. It's actually not even you. There.
We're talking to you're doing that.

Rob Cupello: It's already there. There's people that send in avocars to their virtual meetings. Like, there's a program called notebook LM. You can upload a document or create a podcast voice, and then you can go to agent and put two people in front of it, and there's your podcast done.

Taylor Atkinson: Oh, damn. We're out of the job.

Matt Glen: Yeah. The Kelota real estate podcast is soon to be hosted. Oh my god.

Rob Cupello: I think good. I mean, don't recommend it necessarily because I think I said, there's some things that you still want the human involvement. You could do it. That's what I mean. Like, there's not a lot of things out there that you could ask.
And I'm like, no, we can probably automate. No, we could probably do AI. There's almost anything. Right? Like and that's where I think, again, people just need to start wrapping their heads around that these tools are here.
It's not like this is coming. It's here today, and that's what people are doing it. I think I talked about in the presentation is there's influencers. There's AI influencers. One in Spain Tina Lopez, I believe.
I mean, maybe a Tiana Lopez is hundreds of thousands of followers. She makes ten thousand euros a month, and she's an AI influencer. That's the same.

Matt Glen: So, like, I've heard of this, and I've heard a few other ones, but, like, why isn't there just, like, thousands of those now or millions or

Rob Cupello: Exactly. Why isn't there?

Matt Glen: Those are going to be

Rob Cupello: we created ones who have Ellen, Cologne, and part of it was just us testing, right, to play with these tools. But I think that you're not gonna know the difference soon. You know what? That's a scary part. Yeah.
Right? You're not gonna know what's real and what's AI based at that level. There's videos created now that you would not know. Do you think that they're a Hollywood animated video? It's totally not.
They're just TikTok accounts that are a hundred percent AI. The big trend now if you guys seen there's I don't know if you guys are ticked up, guys, but there's a gorilla in the wild that goes in It's all AI. It's like one of the most followed accounts and it's super funny if you like that kind of humor in a YETI. That's all AI. Right?
Like, so there are accounts already doing this sort of stuff. They're really

Matt Glen: You think it'll just pollute social media so much? Then it'll just be, like, boring because it'll just be so fake.

Rob Cupello: So, I mean, I'd argue, like, I think social media is fake now. So Yeah. We're disappointed with humans because we're taking pictures inside of a hallow plane and going them in my jet. Right? Like so I think you're seeing that.
Right? Right? You can rent the Lamborghini. Go look, I'm in my new vehicle, and they just rented a ten minutes just to do the shopping. So I'm hoping, again, I'm back to saying that I'm not worried about the tools.
I'm worried about how humans are gonna use them because If this is done right, it's about working with your clients at a real personalized level. Right? So you could create content of scale and you could have a database of ten thousand people and send out ten thousand personalized messages to ten thousand people relevant to them and people are gonna love it because now you're sending me something that's pertaining to rob. Right? If you use these tools right, I don't think we'll pollute it.
Now can you pollute it for sure? One hundred percent, you don't think the next election that comes is gonna be like, they already did. A stat on the last Canadian election, and I don't know what's crazy amount. Like, sixty percent of the posts on social media were bots. Like, going to make comments and talking about that.
Yeah. That's what I mean. Like, it's there already. It's how we use it. Like, it's the most powerful tool we ever had in my lifetime for sure, and you can use it for battery, you can use it for good.
That's my biggest concern is that the people with all the power are gonna own these tools. That's where I'm worried. Like, if only Sam Altman and Google and Elon own these tools because we're not gonna create a large language model. We don't billions of dollars to go create it. We're at them to proceed with them.
That's probably where I'm the biggest thing. But today, we're on level playing field. Nike uses the same tools that a client, Kelowna could use. Yep. Same tool.
Right? So in that, right now, it's a level playing field for businesses right now with these tools.

Taylor Atkinson: So Yeah. I guess, like, related to housing. Yeah. We have podcasts all the time. We're really talking about stuff we're interested in.
But I'm thinking, like, specifically to, like, Kelowna housing. You know, if a developer was interested in this geographical location, how many people come here a day? What's the traffic like? What's the density you're allowed? Like, there's so many things that you could just input and probably have a report in an hour.

Rob Cupello: Is it deep thought? Deep research.

Taylor Atkinson: Deep research. Yeah. So is that, like, taken off recently?

Rob Cupello: Yeah. We just did a project for a client. I won't mention it, but he's a developer in Conan that was looking for that sort of data? How many people go into the downtown core? How many competitors are around?
We use deep research to find all that data. And now I say research like, you know, look through to make sure you're right. But, I mean, it's crazy the amount of data that it came in and give us. What it'll do is go and get census information. Oh, yeah.
I mean, no different than if I had to do it myself. Unless somebody will stand downtown and count people, I'm pulling it off of the Internet, I'm pulling it off reports. That's what it did. In deep research, the way it works for people that are familiar is that, clearly, like it sounds. It won't give me an answer right away.
They'll, like, go in and think and research and, like, go and dig deeper. Sometimes it takes half hour to an hour to come back to you, but it comes back with super robust information for you. And the difference in the free version, I think you only get five of those a month in the pre version you get, like, financial amount. Like, twenty of their deep researches for that industry and, like, the housing industry, super powerful tool that you can use. That's just one simple way that they can use it.

Matt Glen: You know what else? It's funny just thinking about this right now. It's like a developer submitting a proposal to, like, city hall. They could do this and then have it tailored to each counselor and have a section in there that's tailored to that counselor to try and get the votes to vote for it. Yep.
Right? The power of persuasion now is, like, kind of, taking a huge

Rob Cupello: that's a great point because it's just these tools have allowed to personalized communication with whatever audiences, one hundred percent. And it does it in real time, like, in real time. Right?

Taylor Atkinson: So From an education point and, you know, I'm talking elementary to university, like, is this being embraced by education? Are they now saying, like, yeah, we're promoting this? Like, here's an assignment, use AI? Or is it still no. This is our curriculum, like, you are not allowed to use AI?

Rob Cupello: It's super ad hoc. That's, like, one of my passion projects of working with AI and education, and that's facing my kids are a graduate or soon to be graduated. But there's an area there that my kids' school using Canvas actually goes to school there, and they said to a memo or a memo. What am I nineteen two fifty two. An email at the start of the school year that said, no Apple watches, no phones, no computers, no iPads in the classroom.
And I'm like, WTF. This is crazy. Like, can you start embracing this and teaching the kids how to use it? If you don't think my son uses AI, that teaches AI, So, of course, he uses AI, but I teach him how to use it properly. Right?
Like, at a university level, some educators are embracing this one hundred percent, and some educators are, like, no, you can't use it in that classroom. So there's not a consistent policy in place. It's starting to come around overseas. They're teaching it in China. They're teaching it at, like, grade two level, grade one level.
Because it's coming. You shouldn't shelter the kids from it because they're gonna be in a disadvantage. Because they're gonna graduate and come into the workforce. Right now, we're not hiring unless you know these tools. Like, simple.
You know, our team is either a use it or you can go find another job. And I don't sound like an ass saying it, but it's because it's efficiency to our clients. Like, in our industry, we're working with our clients money. Right? It's not our money.
We're from their clients' money. We need to be as efficient as possible. And if you don't use these tools or at least want to learn, so these kids that are coming out of university or high school and don't have the knowledge on how to use it properly, they're not gonna find jobs. K? Because if I know it and you don't, I'm gonna get hired before you.
So to answer your question, it's really ad hoc right now. Like, there's no policy in place. But it's starting to come. Like, we're starting to hear more of starting to implement it more starting to bring it into classrooms more, I think we're gonna start seeing it because they have to because I think the shift is gonna come in. I mean, I don't know where it's gonna go.
There's AI schools in the US. There's schools that only teach using AI in the US right now. Right?

Taylor Atkinson: So Wow. Yeah. Well, Segway into teaching. I believe you have a course starting in, like, fifteen minutes. So we gotta Yeah.
We gotta let you go. But what is your education process? Like, can people sign up for courses that you currently run?

Rob Cupello: Yeah. I mean, right now, I only have one course. It's called the AI Advantage six week course. I teach it for six weeks, take a little bit of rate, teach it again. Once you sign up once, you're in it forever, so you can come take the sprints as many times because these change all the time.
The only sort of paid course I have. It's a hundred and ninety seven dollars. It's really reasonable. It's six weeks. But we also do free workshops.
We do lots of, like, free workshops every month. I do a free webinar. So we try to, like, just get education out there. That's my focus right now is education side to get people the businesses understand. We're gonna be launching a boot camp in August.
We're just working through that a three day boot camp. People just wanna condense sort of learning. I teach more on late. I wanna say the basics. Like, any business can come in and really understand.
And the ideas about the end of the six weeks, I'll give you homework. Go build your logo. Go build your website. Go build your video like, so every class you're building on. And by the end of six weeks, you kinda have something you're leaving with as well.
So that's sort of how I teach. And if you wanna go deeper, you know, UBCOI's programs online. They've got a lot of programs. I teach all the modalities and I'm just getting real baseline. I'm gonna show you some tools.
I'm gonna teach you theory. And then you can go off, explore yourself a little bit with these tools. That's sort of the program how it's set up.

Taylor Atkinson: Awesome. And if somebody's running a business, like, you work with business people to do, like, a whiteboard session, audit them, see what you can streamline, implement this stuff. So

Rob Cupello: Hundred percent. I nerd out on this stuff, happy to come in and work with businesses and kind of map out how they can add AI and automation in their businesses and build them a little bit of framework on how they can do that. And every business is different. So we kinda do, yeah, we do this whiteboard session where we come in to really understand the business operations, the workflow, and then see where we can add value within AI and automation within those for sure.

Taylor Atkinson: So I love it. Well, how can people reach out to you if they have any questions?

Rob Cupello: Well, the best way for me is LinkedIn. Like, you think in the industry that may not be in all the social channels. But the best way you can go to our website, check creative dot com or my LinkedIn, rock the color. I'm actually about LinkedIn. You can message me on LinkedIn.
I'm always happy to grab a coffee and chat as well, so it's probably the best way to reach me.

Taylor Atkinson: Well, thank you so much for your time, Rob. Really appreciate it, man.

Matt Glen: Yeah. Thanks a ton. Like, so fascinating.

Rob Cupello: Next time I'm standing in my Avatar. Yes.

Taylor Atkinson: I'm questioning right now if I'm speaking to you right now. Thank you. Problem. Yeah. Okay.

Rob Cupello: Thanks a lot. Have a great day, man.