The Vault Unlocked

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

30 min
Apr 22, 2026about 1 month ago
Listen to Episode
Summary

Jeff McPherson, CEO of Cloud37, discusses why AI adoption is critical for businesses now and how to implement it strategically without wasting time. The episode covers how AI will expose non-experts, the importance of building community moats, and practical frameworks for scaling expertise through AI-powered agents and subscription models.

Insights
  • AI will expose fraudulent experts and non-specialists because it provides unbiased, accurate outputs—those without genuine expertise cannot compete on quality
  • The real competitive advantage is no longer tools (which are becoming commoditized) but community and authentic expertise packaged into scalable systems
  • Businesses that delay AI adoption face exponential risk; the gap between adopters and non-adopters compounds rapidly due to the hockey-stick effect of AI advancement
  • AI architects and prompt engineers are emerging as the new COO role—understanding workflows, processes, and AI orchestration will be critical leadership positions
  • The industrial revolution parallel: as many jobs as AI displaces will be created in new forms (maintenance, AI architecture, specialized implementation)
Trends
Commoditization of AI tools and platforms—generic tools becoming obsolete as custom, expertise-trained AI systems dominateShift from info products to fractional expertise models—experts licensing their frameworks and knowledge bases to multiple businesses via subscriptionRise of AI-driven internal knowledge systems replacing traditional FAQs, SOPs, and employee training materialsEmergence of dynamic, multi-agent AI systems that work together like teams rather than single-purpose chatbotsBlue-collar job transformation toward AI maintenance and robotics servicing rather than complete displacementLegal and business process automation creating AI-vs-AI scenarios requiring human guardrails and interventionZero-fulfillment business models becoming viable through fully AI-driven customer onboarding, delivery, and supportCommunity-first business models replacing product-first approaches as the primary differentiation strategyPrompt engineering and AI architecture becoming core business competencies rather than technical specialtiesRapid obsolescence of single-purpose SaaS tools (newsletter writers, sales callers, etc.) as LLMs become more capable
Companies
Cloud37
Jeff McPherson's AI platform company that helps businesses scale expertise through custom AI agents and knowledge bases
OpenAI
Mentioned regarding custom GPTs and ChatGPT as a baseline AI tool that lacks the customization of enterprise platforms
Anthropic
Claude AI model discussed as winning against ChatGPT with better capabilities and migration tools for users
People
Jeff McPherson
Guest discussing AI implementation, expertise scaling, and the future of AI-driven business models
Alex Ramosi
Referenced as example of hiring consultants to teach frameworks that are then trained into AI agents for scaling
Quotes
"AI is not coming. It is already here and it is moving faster than most businesses can think. The question is not whether you adopt it. The question is whether you adopt it before the gap becomes impossible to close."
HostOpening
"When everybody can do it, what is going to separate people? The only thing that's going to separate you is truly understanding it and not selling snake oil."
Jeff McPhersonMid-episode
"There's going to be people, they'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, not only am I going to adopt it, I'm going to become the best person in it."
Jeff McPhersonLate episode
"As fast as it moves, you have to be so patient with making your decision. 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."
Jeff McPhersonClosing advice
"Our businesses ran before AI so they will run with AI so stop listening to all of the gurus on social media."
HostClosing
Full Transcript
AI is not coming. It is already here and it is moving faster than most businesses can think. The question is not whether you adopt it. The question is whether you adopt it before the gap becomes impossible to close. Today's guest is Jeff McPherson, CEO of Cloud37, 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 your pretty face. No, I mean, there is a lot. There's a lot of overwhelm. 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 cycle for every business that we talk to. The fortunate thing is as fast as it's moving, we're still very, very far ahead. So the businesses that really start to adopt this now and understand what 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. So a lot of time is going to move is going to compound into a very, very short period of time just because of that hockey stick effect. Absolutely. Now for the audience wondering, well, who is Jeff? Why don't you tell us a little bit about, you know, who is Jeff and why, why you, what you've seen, I mean, over the last, I think three to five years since you've really dived in. Yeah. So, I mean, Jeff McPherson, Canadian based with Cave on there. I am 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. And we found the same problems with everybody. And this was like early chat CBT days too, everybody was still trying to figure it out. But there was 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 Notion or Airtable and it's just everywhere. And then all of the agents or workflows, we were basically copying and pasting them because the how agents are built, there's the it'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 are trying to build courses and how to create that knowledge base and kind of an all in 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, I've showed you what I've built. I built two pieces, 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 it can't be done. I mean, it's mind boggling. And I'm sitting there going, if I'm doing this with zero expertise, zero, what is the developer who has all the expertise and know what to actually prompt, ask, change? How faster does that guy's work happen and quicker? yeah well i mean for us we last year alone we ended up getting rid of three engineers and we're we're growing so it gives us it gave us the tools to be able to scale and scale properly like all of these tools it gives us the ability to just be different but what we're noticing in the market is like tools and these dashboards and these platforms are becoming commoditized to an extent but it's like how do you separate yourself from everybody else the only moat 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 always 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, Cloud Code being one of them. Sure, there's a couple other things in behind the scenes. And then some of our developers, five years ago, they weren't even developers. So it's like it gives 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 in its power to amplify you to that output. So where do you see AI going? I mean, what do you see the future of AI? And how fast? In business? I would say business and life at this point. yeah i mean on the optimistic side i think it's gonna like for us i mean we've known each other for 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 uh 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 weren't 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, 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 politely saying they became really good marketers but didn know anything else but that So they knew how to sell but they didn know actually how to maybe fulfill or what they were selling was snake oil But how AI going to expose that if not just make it better and easier and faster for them to keep going down that road? There's still going to be people who win, but when everybody can do it, when everybody can do it, what is going to separate people? Because you can only sell snake oil for so long. As the markets continue, 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, Well, I mean, then you didn't have the ability to get in front of those people. But now with content, I can 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 you is truly understanding it and not selling snake oil. Nobody goes through 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 an 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, as easy as AI is, you need to, I mean, you understand it's like, it's not, it's easy, but it's not as easy as people think. And you, you put in 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 a thousand dollars in credits, a lot better than the $50,000 proposal I got. Right. So, I mean, it's interesting, Because I just someone said to their 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 sink. Like, 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 is you having a robot doing your dishes and helping you cook and stuff like that. I mean, like unless it's a passion for you, do people really need to spend their time on it? Or could you spend time somewhere else with your family? Absolutely. 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. 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 is a very easy example. If these robots are doing all the work, they're going to need maintenance. So instead of maintaining a car like an auto body shop, there'll be robot auto body 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 the next six months well i mean the rate and what we're going it's pretty crazy like i mean i from what i was told i haven't looked at this but i was talking to someone else they said like in the last couple days and i'm not putting the date on here but last couple days claude code came out and basically sunk like four fortune top 100 companies stock down 20 30 percent yeah it's it's insane what what these what these platforms are are doing and this is why it's like we want to we are trying to show people is like don't build the tools in a in a respectful way we're our own tools like you have your knowledge you have your expertise the 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 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 businesses signing up for these tools all the time. It's like, it's 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 of what you're saying, but like get some examples of what do you mean by these tools are going to be obsolete so there was there in the early days there was newsletter tools there was lots of them people 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 hundred dollar 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 it because the voice is the is the thing that people want but the technologies and behind it are getting better so you have to set your business up that can be interchangeable to the actually multi the multimodal whether it's text voice callers avatars you want to be able to set your system up that you can change those just like uh 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 worldwide web powers our websites and then there's like your 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 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 following directions. I know AI follows directions. Maybe an hour in, I now have a LinkedIn post that automatically 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 spits out a post in a graphic faster than any human possibly could before you can 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%. It's like where we try and go to it is because is there people who write better LinkedIn posts than us? Yeah, I mean, it's a LinkedIn post. Let's go with the newsletter because it's a little bit longer than there's structures to these. Or like writing scripts for YouTube. Like this is there's different levels to it. So if you could, and Alex Ramosi does this even with his own business where you go and hire a consultant for a period of time, basically teach you 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 stuff yourself and you scale it infinitely. Absolutely Absolutely So my question is this when does it become where like it just content against content you know AI agent again AI agent I give an example of this I sure you probably been in legal battles AI agent against AI agent, right? I start off with the AI, send it off to business. They come, they put in their AI, they send it off to me. And next thing you know, you've lost complete. You've sidetracked everything. I see it. I'm like, okay, can we stop with this AI? Let's just be real. where do you see that becoming problems uh future in the future where they become actually more significant problems um 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 um but it's 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 Like they're commenting back and forth, 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 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. you know, I believe it's coaches, consultants, experts, speakers. I mean, anybody that basically is a knowledge-based business and or wanting to scale community. Yeah. So, I mean, the community is the byproduct 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 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 base. And then that helps you do your business better. Like 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 onto 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, so you become fractional to more people with the exact same information, the exact same frameworks, 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 Claude because it was actually trained, bounced back, filtered through my specific 20 years of sales experience. Which then 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 nuances the strategies the years of of in my case you know 101 different sales teams built 375 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 and like your chat cbt's of the world is generic knowledge it has everything does it have stuff on how you teach? Absolutely. But what people subscribe to essentially is like your specific frameworks because you focus in your niche. But where it becomes powerful because people's like, well, I could 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 would also would do something different than writing a follow-up email, which would do something like there's different agents for different things. So if I took a transcription and put it into Kavon's ecosystem, I would start with the processes and keep going down. And then they would be hyper, like the expertise and the output behind them would be even 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 reason with everything right now. So when you give them too many things, this is where it starts to hallucinate. So this is where we start. And then where it comes in, it's like, okay, well, let's just keep adding more things where I'm going to help salespeople train more people. So now the same knowledge, you train salespeople, 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 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 i would i'm starting to understand subscription is really what you're calling by community uh yeah so there is some people like we have some people that are doing it for free and they're doing we have people who are doing it for like low ticket but here's another example so this guy he um was building um um he does like script writing for tiktok um i won't mention it mention the business name because it's not important. But he was building GPTs for people on OpenAI. 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 into 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 customer. So it is possible. So with the system, what we did is we built him an onboarding agent, and then his 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 driven. 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. Yeah. It's like people like this. Who are just understanding how they just use the agent and build the AI. It's interesting because people listening to this, They could be all over the world in all different areas of business. And for us you and I I would say we been inundated with AI for like three years It like if you not even using AI you already thinking of the past I was just at an event last week where 90 of the people weren even using AI They were like yeah I kind of use GPT And I like not even Claude What Claude And I going oh my God I don't know. I'm not going to be the AI whisperer. I'll tell you that much. No, I mean, Claude's winning for sure. And Claude actually built a system so people could migrate from chat GPT over to Claude. Claude's going to, Claude's going to, yeah. Claude's going to win for sure. And another use case in terms of the scale, because not everybody has to turn it into a subscription because some people are like, well, I don't want to turn into a 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 changes at once. So they have it more of an internal training process for these businesses. I'm going to call it just for people understanding what's happening here. Like it's an FA, a live FAQ, internal SOP, ask any question about the business and you'll have all the answers right in front of 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. Employee 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, from your company. It's the, it's the, it's the warehouse. That's it. It really is. Um, 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. Like, 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. Yeah. 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, maybe two years, I'll tell you, it's definitely going to be happening within two years for sure. There's going to be people, they'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, not only am I going to adopt it, I'm going to become 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. Even when I'm working with CEOs and stuff like that, it's like remove AI from the conversation. It's like, what are, what are day-to-day things that like you, like their monotonous tasks, especially in the business world, what are things that you can just uplift? Like things you just don't want to do anymore. The big thing is people, it's a lot of overwhelm. I don't know where to start. I think a lot of people who was 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 is like, you're still so far ahead, even if you're just doing a little bit. The problem with it is, if you don't do the work, the gap that's going to happen is going to be insane. We set up the processes for these businesses to follow, essentially 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 this at the 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, to service. Like you said, to service the AI, to be the AI architect. If somebody wants to, if they, if this is the right fit for them and they're like, I need you. Cause they ain't calling me. They're going to be calling you. They could. No, don't call me. Just, just cloud37.ai is a good spot. If people want to get on a call with us, great. Or just on social media anywhere, JeffMacAI across all social medias is a good place to find me as well. But 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. So 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 and 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 yeah because it 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 overpriced i can tell you that much for what it is yeah so reach out to experts that know uh 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 gurus on social media i love it stop listening to the gurus but only jeff uh i appreciate jeff always always grateful for you to stop by and uh i can't wait to see us on another episode in a year when we're going to be talking about the next evolution of this all of this who knows what's going to be here in a year but no i appreciate you having me