How to Actually Implement AI in Your Business Without Wasting Six Months

The question is not whether you adopted. The question is whether you adopted before the gap becomes impossible to close. Today's guest is Jeff McPherson, CEO of Cloud 37, one of the sharpest operators in the AI space. Jeff and his team had been inside the AI world for nearly four years. They have seen what works, what gets oversold, and what most businesses are completely missing.

We get into why AI will expose the people who were never really experts. How the next generation

of businesses gets built and the one decision that separates the operators who win from the ones who get left behind. This is not a hype conversation. This is the reality check. Let's unlock it. I have heard that AI is going to take over. I've heard that AI is going to take over in three months, eight months. I have heard that we won't even know who we are in the next five

“years. Today we have Mr. AI himself. Jeff, welcome to the show. I think this is one of the most”

important topics we can talk about right now. I mean, where this is going, the speed at which it has been going, and how fast it keeps multiplying. I don't think most humans can even understand. Let's get into it. What comes up when you hear all of that? A lot of noise. That's for sure.

First of all, thanks for having me. It's always good to see you're pretty face.

No, I mean, there's a lot. There's a lot over well. Every business is dealing with it right now. What tools do I use? How do I use it? Is my team not adopting it right? Like it's the same. It's the same cycle for every business that we talk to. The fortunate thing is as fast as it's moving, we're still very far ahead. The business is that really start to adopt this now and understand which some of the stuff that will likely go through. You still have a lot of time, but the only

problem with that time, to your point, it's very compressed. A lot of time is going to move it's going to compound into a very short period of time just because of that hockey stick effect. Absolutely. Now, for the audience wondering, who is Jeff? Why don't you tell us a little bit about

“who is Jeff and why you've seen, I mean over the last, I think three to five years since you've”

really died in. Jeff McPherson, Canadian based with Cave on there, I'm the CEO of a company called Cloud 37. We've been in the AI space for almost four years now, crazy to think how time goes. We started as an AI agency years ago and we were building custom stuff for people. They were like, "You would want something in sales. We'd do it for you." And then the next person would come in, and we'd do it for them. We found the same problems with everybody. And this was like early

chat to BT days too, was everybody was still trying to figure it out. But there's the same issues for every single person. It's nobody had their information set up properly or what people call their knowledge base. It's all in like Google Drive or Notia and or Air Table and it's just everywhere.

And then all of the agents are workflows. We were basically copying and pasting them because

“the how agents are built. There's the same process every single time. The only thing that changes is”

the expertise and the information that you give it. And that's where we went out and built the platform cloud 37, which is essentially powering people's businesses and we're helping people scale their expertise into subscription models, which is which is really cool. Yeah, we're going to get into that because I think it's very fascinating what you're doing and how you're helping, you know, whether it's everyday people or speakers, coaches, consultants that have knowledge that typically

you're trying to build courses and how to create that knowledge base and kind of an all-one solution. But I think for where we're at right now, I really want to touch on the rate of why. Like, I mean, what we're seeing in the market with AI, I mean, for me, with zero development skills in the last two weeks, right, you, I've showed you what I built. I built two kinds of like basically SaaS platforms with websites, with email integration. I mean, things that would have taken me

and my business, I would say six to eight months, if not even a year and a lot of headaches, a lot of questions of why I can't be done. I mean, it's mind boggling and I'm sitting there going, if I'm doing this, was zero expertise, zero. What is the developer who has all the expertise? I know what to actually prompt, ask, change. How faster does that guys work happen in quicker? Yeah, well, I mean, for us that we last year alone, we ended up getting rid of three engineers

in were growing. So it gave us, gave us the tools we able to scale and scale properly. Like, all of these tools, it gives us the ability to just be different. But we're noticing in the market

when it's like, how do you separate yourself from everybody else? The only mode that we believe

people are going to have in the future is going to be community. And this is something we're heavily pushing on all of our clients that we work with. It's great to have a tool and have all these AI workflows and stuff like that. But when everybody can do the same thing, what's next?

“What's next? And that's what we're all we're trying to keep up with that sort of stuff.”

So people don't have to think they can stay in that process. But for the development side, it's, I mean, we're running our whole software company with some of these big technologies, Claude Code being one of them. Sure, there's a couple of the things in behind the scenes. And then some of our developers, five years ago, they weren't even developers. So as I could give people the ability to learn and learn fast, yes, there's still levels to it,

100%. But at the end of the day, if you're willing to put in the time to learn and become that expert, the tools will do everything and it's powered and amplify you to that output. So where do you see AI going? I mean, what do you see the future of AI in how fast? In business? I would say business in life at this point. I mean, the optimistic side, I think it's going to, like, for us, I mean, we've known each other for a long time. Now, I think it's going to give

us the ability to do the things that we're actually passionate about. Like I know that you're

“being into the sports and the biking and skiing and stuff like that. I think it's going to give us”

time to be part of our passions, part of our families. If you're in the right bracket for sure, there's obviously the bad apples that are going to do the bad things. But at the end of the day,

it doesn't matter what the tool is, there's always those people. In terms of business,

there's going to be an upper class and there's going to be a lower class. What I'm most excited for is all of the people that we know on the market who made really good money for a short period of time, who weren't actually experts who were some sort of affiliate or some sort of info guru or wherever. It's going to start exposing them for everything that they were because AI is just it's unbiased. It will tell you exactly what's right and wrong and people who aren't

experts or don't really know what they're talking about. It's going to expose them, which is going to give people who maybe didn't have those opportunities, the ability to be in that upper class, because you still need the expertise there. Yeah, that's a big, loaded answer there, but I want to dissect that a little bit. Specifically, you're saying it's going to expose the people that may not I think what you're playfully saying, they became really good marketers, but didn't know anything

I was but that. They knew how to sell, but they didn't know how to, maybe fulfill or what they were selling was snake oil, but how's AI going to expose that if not, just make it better and easier and faster for them to keep going on that road? There's still going to be people who win, but when everybody can do it, when all, when everybody can do it, what is going to separate people, because you can only sell snake oil for so long. Like, as the market's continued, when, because the problem

with the people that were doing it before is if you didn't have that fancy car and you couldn't get pictures, what mean then you didn't have the ability to get in front of those people. But now with content, I could take a picture in front of a Lamborghini and get in front of those people. That content doesn't work anymore, but everybody is seeing that guy, posting those pictures, selling a course, and we all know one of them. But when everybody can get in front of the same audience

“doing the same thing and building the same products and stuff like that, the only thing that's going”

to separate, separate you is truly understanding it and not selling snake oil. Nobody goes to courses anyways. We know this. It's having the community and having better true customer experience. There's still going to be a side of having that human interaction. And if you don't want to do those, I mean, you're just not going to be a part of it. It's pretty straightforward. Yeah. It sounds like there's no hiding anymore. Like, if you're going to actually

want to create influence and create community and/or create a offer online, there's other factors that are in play now that must be looked at. Lazy people will not win, because at the end of the day, it's easy as AI is. You need to, I mean, you understand, so it's not as easy, but it's not as easy as people think. Can you put and work to build that site? Like, it took you work.

Yeah. Yeah. I'm now probably over, I would say, 50 hours. But I mean, 50 hours, right, to build it all is just insane. And I keep laughing about $1,000 in credits. A lot better than the $50,000 proposal I got, right? So, I mean, it's interesting, because I did someone said today, like, man, you're an AI expert. I'm like, no, I'm not. I just use AI and I just use it as my brain. And it's allowing me to be expert. I think that's the

power of where AI is. But even the AI you and I are talking about is so small, we're talking about LMS here, let alone the robots that are going to be in people's homes that are going to be able to take care of your kids, clean the house, fix the, fix the sink. I mean, what's going to happen with all these professions and people that are worried about their jobs being taken over

who are not adopting AI. Yeah. And like that. So to the at home piece first, you have an

passion for you, do people really need to spend their time on it? Or could you spend time somewhere

“else with your family? Like, there's, there's that aspect of it. All the blue collar jobs is like,”

is it going to be, it's a while before that actually happens. Like, these robots can't really empty a dishwasher without proper assistance, as much as social media is showing you that way. So we've got a long ways before that happens. But where the blue collar is going to go and is this a very easy example, if these robots are doing all the work, they're going to need maintenance. So instead of maintaining the car, like an Autobotty shop, they'll be robot Autobotty shops where

people are going to have to do them. And yes, in time could robots do those possibly. But it's like, what's the next thing? I do my best not to try and think what's that 10, 15-year vision of what AI is, because most of us don't even know what's going to happen next six months. Well, I mean, the rate at what we're going, it's pretty crazy. Like, I mean, from what I was told, I haven't looked at this, but I was talking to some, I went else,

they said, like, in the last couple of days, and I'm not putting the date on here, but last couple of days, Claude Code came out and basically sunk like four, fortune top 100 companies,

stock down, 20, 30 percent. Yeah, it's insane. What these platforms are doing. And this is why

it's like we want to, we are trying to show people, they don't build the tools in a respectful way, we're our own tools. Like you have your knowledge, you have your expertise, stuff that you've built over a long period of time. If you just know how to bottle that up and sell it to as many people as possible or be an extension of other people's business, that's when you're going to build the community, you're going to be able to do the next thing with those businesses. You're going to

make really good money and let these big platforms do all the stuff that you just shouldn't do, like the amount of tools that are on the market that are just going to be obsolete in the next year. And I see business is signing up for these tools all the time, it's like it's going, like, you're not going to have it, like it's just not going to be there. Yeah, let's get some examples because I have an idea what you're saying, but like it gets some examples of what you mean by these tools are going

to be obsolete. So there's, in the early days, there was newsletter tools. There was lots of them. People are helping you write newsletters. I mean, you, you can write newsletters on your own. Now, like you don't need to sign up for these $100 a month tools. There's AI sales callers. Now, the things that AI sales callers in which you got to be careful with, because everybody goes through these or just callers in general. In the last two years, we've gone through five different callers.

So it's like, because the voice is the, is the thing that people want, but the technologies in

“behind it are getting better. So you have to set your business up that can be interchangeable to the”

actually multi, multi-model, whether it's text, voice, callers, avatars. You want to be able to set your system up that you can change those, just like downloading and removing an app on your phone. Yeah, this is how people need to look at it. Because there's your operating system, which is your business processes, then there's your LLM, which powers it, just like the World Wide Web, powers our websites. And then there's like your interaction points, which is how people receive

value, whether again, it's, you receive it in text, voice, avatar, video, all these things. And those are the layers that it comes down to. It's interesting you're saying that, because like the tools, like things that I thought were, oh, you got to really know what you, what you, you really got to have the idea of how to use AI for these things to happen. When you dive in and you kind of realize, it's not that hard. You know, example, I'll just use my LinkedIn posts. My LinkedIn posts are like,

I had a team who was writing the LinkedIn posts. And then they would, I mean, it's just, it was a nightmare. And I said, okay, you guys are not falling directions. I know AI follows directions. Maybe an hour in, I now have a LinkedIn post at all, Matt, he gets posted on my LinkedIn. I don't care, you know, people like it's trained in my voice. It gets smarter as I get smarter, because I keep training it up. And it cuts, it spits out a post in a graphic faster than any human possibly could.

Before you couldn't even say one, two, three, here's a world-class post that gets sent out.

“So just recently, I said, well, if you can do that on LinkedIn, why can't you do that for blogs?”

Newsletters, blogs, newsletters, all of that. All these things. Yeah, 100% and it's like, where, where we try and go to it is because, is there people who write better LinkedIn posts to us? Yeah, I mean, it's a LinkedIn post. Let's go with the newsletter because it's a little bit long. And then there's structures to these. Or like writing scripts for YouTube. Like, this is, there's different levels to it. So if you could, in Alex Ramosi does this, even with it, with his own

business, where you're going higher a consultant for a period of time, basically, teacher the frameworks,

then you take those frameworks and you train your agents on them. Now you have expert frameworks that you can go and do this after so. And you scale it infinitely. Absolutely. Absolutely. So what my question is this, when does it become where it's just content against content,

in legal battles. You know, AI agent against AI agent, right? I start off with the AI

sent it off to business. They come, they put it in their AI. They're sent it off to me. And next thing, you know, you've lost, lost complete. You've, like, sidetracked everything. I see it. I'm like, okay, can we stop? What does AI? Let's just be real. But where do you see that become in

“problems of future, in the future, where they become actually more significant problems?”

It's hard to say. I think it's, I mean, it's going to get worse before it gets better, for sure. I mean, people are going to take advantage of it wherever they can and try and siphon out as much money. But there's going to have to be some sort of guardrails put in place, like human guardrails in place, especially on the legality side. But it's, it's hard to say. Really, it's like when they're

back and forth, because even like the LinkedIn, you can see them. It's like they're commenting back

and forth, common. Like they're having conversations with each other. Yeah. When that happens with like lawyers back and forth, when that happens with, and how many years is that in? I don't really know. Is it ever going to come? Again, I don't really, I don't really, I don't really know. But is it possible? 100%. Yeah. Yeah. It's interesting. So, tell us a little bit more about, like, you know, what your product, how you're servicing, I believe it's coaches, consultants, experts, speakers. I mean,

“anybody that basically is a knowledge-based business or wanted a scale community?”

Yeah. So, I mean, the community is the, the buy product to it for sure. So, we could just even use you for an example. And this is a good example because people are watching this know you are. So, you're, you're a sales expert, you have been for a long time. And you've, over the last X amount of years, you have built and understand sales better than almost anybody, which is great. So, those frameworks, those strategies, like how you do objection handling, all of these things,

are your why you do things. So, SOPs are essentially the steps. And then your frameworks and strategies are why you follow these steps in certain orders. But the reasoning behind them at certain, so it's like an objection holding, it could come at different times. It's not the same thing every time. But you understand how to reason with these things. So, what you do is you take all of that information, what past transcriptions, your frameworks or strategies, and you put it in a

“cave-on knowledge-based. And then that helps you do your business better. And it just does.”

It helps you do your output better. Because you can put in transcriptions, you can train people, all this fun stuff. But where it becomes very, very valuable is instead of just keeping it for yourself, because you keep the IP, you essentially bolt it on to another business. So, you start training their team on how to use your frameworks. Because where the difference business model is going, instead of selling an info product, you teach them what good output is. So, this is what a good

objection handling is. And then you give them the tool that's trained on you to be able to get that output faster. This is where it's you become fractional to more people with the exact same information, the exact same framework, the exact same agents. So, it's like you can do it done with you. Yeah. So, you basically become, I'm not sure it's the right word, but you become a mini-LM for these people. So, they have, I'm just going to say, the cave-on-bot, and they know that the cave-on-bot

is going to be way better than a typical GPT or cloud, because it was actually trained, bounce back filtered through my specific 20 years of sales experience. Chris, when goes back to the conversation, I just want to make sure when we said, people are going to be exposed. Those people are going to be exposed because they won't actually have the knowledge base. The nuance is the strategies, the years of, of in my case, you know, 101 different sales teams

built, 305 million dollars sold, and I don't know how many trained sales reps they don't have that

experience. So, now the output of the AI just becomes generic versus very detailed. Yeah. And like your chatchubt's, the world is generic knowledge. It has everything, does it have stuff on how you teach? Absolutely. But what people subscribe to essentially is your specific frameworks, because you focus in your niche. But where becomes powerful, because people's like, "Why can you do this on GPTs?" Well, the problem with GPTs, like custom projects or custom GPTs, is you can't stack the agents.

So it's like an agent that does objection handling, what also would do something different than writing a follow-up email, which would do something like, there's different agents for different things. Yeah. So if I took a transcription and put it into cave-ons ecosystem, I would start with the processes and keep going down, and then there would be hyper, like the expertise in the output behind them would be even more, more valuable, because you're training these agents to do very,

very specific things, and they work together just like your team does on an individual basis, because agents can't, that can't reason with everything right now. So when you give them too many things, this is where it starts to loosen it. Yeah. So this is where we start, and then where it comes in,

train more people." So now the same knowledge, you train sales people, and then the same knowledge

“helps you create content. So now you're literally just adding more agents into the exact same”

knowledge base, and you're just giving it to these businesses for a subscription. And then the, and then what I'm going to assume is the model itself just gets smarter over time, and it gets better over time. They essentially train your IP to be better. You build the community. They get the output that they want, and then everybody, everybody wins. Community, I would, I'm starting understand subscription is really what you're calling by community. Yeah. So there is some people,

like we have some people that are doing it for free, and we have people who are doing it for like low ticket. But here's another example. So this guy, he was building, he does like script writing for TikTok. I won't mention it mentioned the business name, because it's not, it's not important. But he was building GPTs for people on, on open AI. But what he was doing, he had to build an

audience, or a profile for these people. Just like anybody has to do, it's like you're basically

onboarding people in your business, your service based business. So he had to manually do those every single time. And then every single person he would have to create a new project for every single, every single customer. So it is possible. So with the system, what we did is we built an onboarding agent, and then is scripting agent. So every time one of his new customers comes in, if they fill in the onboarding agent, and it creates a custom profile for them, it creates their audience. And then

“all of the agents dynamically train to that audience. So you have to create one agent that dynamically”

trains to everybody's custom profiles. And that's scalability. This guy's doing like 70k a month with two agents. Yeah, selling TikTok scripts. And he's essentially zero fulfillment, because it's all AI because then the same information, the same information we built a customer support agent. So people have questions, they answer the questions. It's the same information. I was going to say that's where they say,

I'm sure you've heard it, right? There's going to be a billion dollar company with one employee.

It's like people like this who are just understanding how to just use the agent and build the AI. It's interesting because people listen to this, you know, they could be all over the world in all different areas of business. And for us, you and I, I would say we've been inundated with AI for like three years. Like it's like if you're not even using AI, you're already thinking the past.

“I was just in an event last week where 90% of the people weren't even using AI. They were like,”

yeah, I kind of use GPT. And I'm like, not even Claude. It's Claude. And I'm going, oh my god, I don't know. I, I'm not going to be the AI whisper. I'll tell you that much. No, I mean, that Claude's winning for sure. And Claude actually built a system. So, so people can migrate from Jackie P.T. over to Claude. Oh, Claude's going to, Claude's going to, yeah, I'm going to go in for sure. Yeah. And another use case in terms of this game. Because not

everybody has to turn it into a subscription because some people like, well, I don't want to turn to the subscription. Okay, fine. So we're working with another company, it's in the medical space, where they have a whole bunch of providers throughout the US. But they have all of this knowledge from like, because they have products and they have like the medical advice that comes with it.

So we trained it in their knowledge base. So all of their providers can basically talk to this

agent on behalf of their clients and get the answers consistently. So as the company updates new products, the whole system. Yeah. So they have it more of an internal internal training process for these businesses. I'm going to call it just for people understanding what's happening here. Like, it's an FAQ, a live FAQ, internal SOP, ask any question about the business and you'll have all the answers right from you. So think about employees sitting there or even clients sitting there or

potential customers sitting there and has a question. They don't need to wait and book a call. And Chloe doesn't need to go bother a manager. It's all basically just a data dump of information that allows you to receive get anything you want from your company. It's the warehouse. That's it. It really is. And it's just a specific knowledge that's used for the for the use case. Because they were struggling with how do I keep giving these providers more information as we

update it. So it's it scales knowledge. Like, that's all AI is. It's transformation of of information. That's all it is. So how do we convince people who are listening right now and saying, I'm scared of AI. I don't believe in AI. How do we? What do we? What do I have to say? What do you have to say to get them to realize like AI is not coming. It's here. And it's getting smarter by the day. And I believe that there's two camps. There's going to be, you watch this and maybe in a year,

be people. You're going to first camp. Oh, I think I tried AI. Oh, I dabbled and they're going to

be a thing of the past or there's going to be the camp that looked at AI and said, I, not only am I going to adopt it, I'm going to be the come the best person in it. So I can exist in a world where AI has taken over, but I can be the 1% that still needs to be able to be a prompt engineer and or no AI at the highest level where I still can control my own business. I completely agree. So there's a couple of things. Like even when I'm working with CEOs and stuff like that is like remove AI from

the conversations like what are what are day-to-day things that like you like they're not in this task, especially in the business world, what are things that you can just uplift. Things you just don't want to do anymore. The big thing is people, it's a lot of overwhelmed. I don't know where to start. I think a lot of people who is against it, it's more of like I'm it's kind of like embarrassing because I don't know where to start. I think there's a lot of that

aspect in it. So allowing people to really understand like you're still so far ahead, even if you're just doing a little bit, the problem with it is is like if you don't do the work, the gap that's going to happen is going to be insane. Like we set up the processes for these businesses the fall. We sent you like accountability partners where some of their team members didn't buy in and they're

“no longer with the company. It's like you have to buy into this ever-changing thing. AI takes work.”

You still need to put your boots on. You still need to work with it. But when you learn it, there's something that we call like your AI architect role, which this is I believe going to be the future of people's businesses. These are the people who understand workflows and processes and prompting. These are like your new age COOs. They understand all the verticals that are running it and the people that can who have these in their business or don't, they need to hire.

If they do have them, are they at the skill set yet? Because there's not that many out there. So for the people who are where should I start, it's understanding the workflows and understanding that process because you can have a very, very big business helping other businesses implement it into their ecosystem. There's going to be- we didn't say as beginning, but as many jobs,

“I believe this is kind of like exactly what the industrial revolution and when we went from”

carriages and buggies to cars, right? The reality is this is as many jobs AI will take over.

I believe just as many will be created. Things that we don't even know exist, jobs will be created to service. Like you said, to service to AI, to be the AI architect. If somebody wants to- if this is the right fit for them and they're like, I need you. They didn't call on me. They're going to call it. They could. Just cloud 37, AI is a good spot. If people want to get on a call with that's great or just on social media, anywhere, Jeff Mac, AI,

across all social media is a good place to find me as well. We're very specific on who we work with. We want our values to align because we know the results that we can provide for you and your business. Those are just the prerequisites. We just want to work with good people because it's a lot of fun and that's just what I have the ability to do. Any last departing words for somebody who's sitting there frozen with the idea of AI? What would we say?

As fast as it moves, and this is kind of the scary thing in the frustrating thing at the same time,

“as fast as it moves, you have to be so patient with making your decision.”

Like you have to move slow in such a fast-paced world because you can make one wrong decision, get six months down the line and lose more than six months. Because getting back, so it's like if you don't understand what the process is, find people like ourselves who can help you understand what's going to happen before they sell you into the thing that you need. Because I can almost guarantee you that 95% of the time what you're being sold is not what you need.

Yeah. Yeah. Or being over-priced, I can tell you that much for what it is. So we're just trying to do it. We're just trying to show it to experts that know understand it's coming, but make slow and smart decisions because it changes so fast and you got to be able to hedge each decision you make moving forward. Our businesses ran before AI, so they will run with AI. So stop listening to all of the guru's on social media. I love it.

Stop wasn't the guru's, but only Jeff. I appreciate Jeff always, always grateful for

you to stop by and I can't wait to see us on another episode in the year when we're going to be talking about the next evolution of this all this. Who knows what's going to be here in a year,

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