CMD + C: How Kareen Walsh and I built a CLONE of herself
26 Aug 2024 · 41 min
Jim Carter III and Kareen Walsh built hey Kareen, an AI chatbot that clones her expertise. They discuss how APIs and ChatGPT let them automate her knowledge, the business case for personal AI clones, and why people fear AI adoption even when it saves time.
Welcome back to the Prompt. This is Jim Carter and today I have a special change up from the normal solo episodes. I want to share with you a recording with my dear friend Karine Walsh, who I've most recently over the last few months helped bring her brainchild together on the technical AI side. And we are celebrating the launch of her brand new AI based chat app called hey Kareen. Now, we talk about a lot in this episode, but we also talk specifically about this. And because I know you're here for tech and AI, I want to share yet again one more just absolutely incredible use case for using AI, cloning yourself and being able to augment the work that you do and be able to serve so many in such a bigger way. Now, you've heard me talk about this in the past. I have a clone of myself. It's available for those that are members of my private Slack community. I am helping lots of different entrepreneurs and personal brands start to really clone themselves and this is turning into something really big. And I'm so pumped because her app launches this week. So sit back, enjoy this episode and please we talk about where you can go to check this out. She has a free trial. You can just go to heykarene. Com and you can check this out and you can download it and you can have a business coach in your pocket. I can't wait for you to listen to this one. To really take away some of the awesome things we talked about and without any further delay, enjoy. We're live.
I can't believe we're in person, Jay. I mean, you and I have known each other for several, several years. We met through our amazing friends Chris and Lori Harder. And what has been so cool about seeing your evolution and where you have taken all your gifting is that there's always been this underlining theme of impact and how you leverage technology to help the founders you work with and the businesses that you work with to ensure that they're doing it in an aligned way that makes sense. And so I wanted to have this conversation with you because you're helping me do that. Yeah. And what's so cool about launching hey Kareen together, I thought we would share a little bit about the behind the scenes of how we discussed the problem I was trying to solve and how your expertise in technology and your lens of all the different tools out there, especially leveraging AI and the different CMS tools and making sure they integrate well. You know how we got to where we are, Right? So what is it that excites you today when it comes to assisting founders and making sure the impact that they want is actually happening and leveraging the tech platforms that you are well versed in.
Awesome way to start this. Oh my God. And I'm so excited to be here in person with you. It's been a lot of years.
It has been.
You know what I'm finding is that we're kind of told right now that like this AI wave is almost like the next biggest thing since the personal computer. And it's hard to believe, believe it until you believe it, because we see the rate of adoption, we see the rate of excitement and we see the rate of people just willing to try things and experiment. So what I'm seeing is a very early divide. Those that are absolutely terrified of everything and those that don't have to understand it, but they're willing to try something. And that's why I love last time we connected. Just like I have this idea, don't exactly know, but I know what I want and I know in my heart that something about AI can help us actually get there. And that's really it. It's just like starting with a conversation. I'm here, I want to go there. It feels almost impossible, or it doesn't feel like it could really work yet. How do we bridge that gap? Even if it's not an all in one type of a thing, Are there tools, are there workflows, are there ways that we can do it? Just that nobody's done it yet. And the answer is almost always yes.
Now, which is wild because back in the day we used to have to customize everything in order for it to work for us. And I'm finding as we leverage these AI platforms, it's like, no, you have to make it, it's already been built. Now you just teach it what you want it to do for you. And it's making it so much easier to launch. It's making it so much easier to get the right refined message out. It's making it easier to just move forward with something versus waiting. A full like waterfall life cycle of build out from end to end with all this testing. Like you and I started talking about this less than three months ago and now we're literally at the point where we're launching, it's ready to the public, over time it's going to evolve, which is all my methodology. Like I am all about evolution and continuing to refine. When you look at that leverage right of these tools and that fear of change that some people sit in, especially on the AI topic, What are the common things that you've been asked that from your knowledge on AI that you're like, this is easy, like, just come see, you know, so let's go give folks like, what is the actual reality of what these tools can do?
That's a wonderful way to look at it. The I'm no like master psychologist, but I do know that like one core thing about humans is that we fear what we don't know. Right. It's what's in the dark, it's what's behind the corner, it's in all of these things. So this is one of those cases where it's just like what is happening behind the scenes. Like we see animations and we see people talking about it, but even somebody who was a software engineer for 20 plus years, somebody who's been in engineering leadership, who was a coder, who understands a good majority of this, there's still black magic that happens in this right now. To us, it's incredible. Algorithms, it's a beautiful way of new ways of working with data and at the end of the day, it's just data moving around. Yeah, but it feels like magic. So it's like trying to bridge that gap and understand what's the right tool, what's the right strategy. These are the ways that I'm really enjoying these conversations to help kind of find that pinhole. When we find that pinhole, it's, let's test it. Like you said, it doesn't require months and months of Sprint planning and building the right database infrastructures and how do we scale it? These things are ready to go from being something as simple as working with OpenAI and ChatGPT system, if you will, which anybody can set up a key and start making requests and actually build it into their system in an hour, all the way to working with these open source ways of working with AI, where if you really want to build something incredible, you can build it on your own. You don't have to start from scratch. So this iteration life cycle of being able to pull it together is wild. Which is why you came to me with an idea. We said, let's go. We started and within weeks we had a working model of the basics of it. And now, months later, later we're ready to launch.
Never this fast, right?
The, the, the iteration speed, the time to test the feedback loops, and the fact is like, is it perfect? No. Is it? Does it need to be? No. But when you take all of those trade offs for what you can actually retrieve and receive, and more importantly like how many more people you can serve.
Yeah.
That's just the biggest exciting piece for me that I haven't been involved in technology at this level right up until this. And even though I've been in the XR and the AR space and mixed reality and everything for over a decade now, people are willing to actually give it a shot and it opens up all these possibilities, like to be able to do something we haven't done before.
Yeah. And my history in tech too has been from the beginning of when like tech was printed on CDs and shipped to people. Right. Look at.
You had a thousand free hours of aol too.
No, I worked for a financial tech software company in my twenties and that's what we did. I learned the life cycle of how you actually go from concept to a licensed disc that then people would use four months and maybe even a year before they got an upgrade like that pace. And that wasn't that long ago. We're talking maybe 20 years.
Yeah.
The speed at which things get delivered and the method at which things are changing can sometimes create overwhelm for folks. Overwhelm then creates a shutdown in people as to like, I don't understand this, so I'm not even going to try it. What I found with leveraging AI today is that you just have to test it for yourself to then say, oh, this is how I'll use it. And I think that's what squashes fear always. If we lead with curiosity and be like, well, what could this do for us and how can we leverage it to where we're trying to go? It creates more of an opening to the possibilities. But some of the terms you also brought up, which I think might confuse some of the people watching or listening. There is a tech language behind all of this.
Yeah.
And so to disseminate that and help them, let's just give them some keywords to think about because I think that will help them understand. So you mentioned something about create a key. So let folks know what that means, because they won't understand that if they haven't played with it.
Yeah, of course. How is it approachable for everybody? If you've been paying attention to the news, you've heard about this magic called chatgpt, which not a lot of people realize. It was launched as a research project. They didn't launch a full product. They just wanted to put it out into the world because they had an opportunity to be first to market where Google and everybody else had already been working on these things, but they were first to market and it blew up because we were all just like, what have we just been given? Machine learning. And this concept of training data and coming up with an answer has been around forever. The concept of AI was formed in the 60s, but if you've ever said, I like this movie on Netflix and then wondered, oh wow, that's cool, it actually recommended more movies like it used AI. If your phone has ever recommended an app when you arrive home versus when you get in your car, that you realize that's more custom tuned. For me, you've used AI. So we use it in a lot of ways already. But now to your point, we're finding ways we can actually have utility in it more than what somebody else wants for us on their agenda, on their platform, on their ip, on their ownership, on their products. Now we actually get to take control of that and we don't need to spend 5, 6 plus figures with really smart engineers that are the only humans that understand what's going on.
Yeah.
So that's the big picture.
Huge.
And it doesn't require me, it requires being curious, it requires trying something.
Right.
ChatGPT is free.
Yeah.
Right. You can go Chad GPT OpenAI.com and you can ask it a question just like Google. Regardless of the answer, the power of the accessibility is what's actually the most exciting period of time that we're living in. So that's the zoom out picture right now. Let's actually go a little deeper. So not a lot of us can build a business on ChatGPT. We probably wouldn't. It's another person's product. But ChatGPT is a simple software application that the mothership company OpenAI gave us to work with their technology.
Yeah.
It uses APIs, application protocol interfaces, a simple way if you've ever sent an email, you've used an API, if you've ever streamed something on Netflix. The connectors, it's the connector between APIs.
Are the connectors between tech platforms, et cetera.
So if we think about that, okay, ChatGPT is awesome. It works. Whether you've tested it or not. It's available to us. It's a way where we can explore, try some things. You probably tested some of these ideas with a chatgpt or something before we actually decided to build a business around it. Right. Because you had to feel it, you had to make sure it felt like something you could actually like sink your claws into. Right.
And the learning of like how you speak to it and mold it to get back to you or the what you're looking for back to you.
Right.
And so there's a learning curve of how you. Because it's not just so people. The habit that people have. Like, I don't even know if people remember when search engines came out. Right. Web crawler, like all the things that you just go. And it was all keyword based. And then I don't know if I ever told you this, but I used to work for ask.com so that's.
No, I don't think you did.
And that's a huge search engine to ask Jeeves. People knew that as well. And I was literally leading back in the day. So this was. We were. It was like maybe 10, 10, 15 years ago.
Yeah.
About that time where they were trying to create a Q and A engine, ask a question, people would answer. And then trying to get people to change their behavior of search and not just put in keywords to find out what they needed. You could actually put in a whole phrase and then get more natural language. Yes. More natural language. Which is now to see the evolution. But we had to learn that. Right. We had to learn what to put in in order to get the results we want. And as I've been in chat GBT and even comparing it with Gemini and like having the different ways of how open AI can give you information back for faster utilization, because that's the, that's the piece that I love. I'm highly. I'm. I'm about efficiency. I don't like wasting my time. I just want the freaking answer and I want to move on. Like, that's just me and my impatience. And these tools meet the need of my impatience. Once I learned how to. To it, then I could get the results from it.
Yeah.
So that's the piece that I think comes with that curiosity too, where it's like, just keep trying. Like try these prompts. Right. So language around AI and leveraging, especially OpenAI like a chat GBT. So we had the word key. So explain what a key. Creating a key is.
Yeah. So it goes from experimentation to actually utility.
Utility.
Right. The key is what opens up the ability to work with their infrastructure, their abilities. It's like again, if the Netflix example, if you wanted to build your own streaming platform.
Yeah.
And Netflix allowed you to do it.
Yeah.
You would create a key. That key would allow you to unlock their system and be able to pull that information for your uniqueness, for your way of wrapping it, your way of creating something brand new.
Give folks an example.
So let's use our example for what we're doing here? We're using a backend system that contains all of the trainings that you've given.
Methodology, all my talks, every books, the.
Whole thing, pulling all my data, all of that, all of that that you've taught over time.
Right. It just sits there. You have no.
It's in like a zoom repository or whatever.
As a creator, someone who is all about impact, like you, where I just want more people to leverage my lessons learned so that they don't have to learn them on the same dime that I spent. The fact that I could collect it all finally and put it somewhere that it can be leveraged is I can't even tell you the freedom I felt like the first time I saw it in action because I was like, finally, yeah, finally a way that I can extend my reach and have this utility be utilized. Like have it go into a function now with my community. So I get it now. So, okay, so we put as unique.
Your data into a system.
Into a system.
The key is what unlocks it. So now we can build something unique.
For you leveraging the frameworks that are already in place.
So let's just for the sake of example, imagine that we built a mini ChatGPT system, but only for your data. That's really kind of what we built for you. The key is what unlocks all that custom data. So now we can build something really incredible around it, like your app and like anything that's going to be coming in the future.
Yeah.
Ways to be able to extend it, access it and be able to work with it. The rate in which we were able to do that is just bonkers. We didn't have to go down a year plan of doing this and finding it.
Also generally in the back end there's like rules, engines. There is the display of information, there's the collection of the data, then there's the quality check of the data. Like there's so many system frameworks that go behind the results that people now just feel like it's magic that it shows up.
That's what makes it the magic.
And now the speed of it is what makes it the magic too.
Right.
Like the leverage of to me, the AI of what gets served up and the speed of the machine learning because that's really where to me where the magic is. Right.
It's that, that's the weight of the.
It's it. Right. Like if the machine learning then didn't adapt so quickly to how we dictate it should respond or let it respond and then refine it. Right.
Yeah. Let's use them again. So it may be hard to remember the first time you actually installed Netflix. And like, if you're like me, I used to rent the CDs.
Yeah.
Also on this, like, I barely remember what I had for dinner last night, but here we are.
Yeah.
Now, if we think about. Let's just say you installed a brand new Netflix account and you loaded it up and it's going to say, all right, here's a rom com, here's a documentary, here's a war thing, here's something that we think you might like, a Christmas movie. It doesn't know, but it requires you actually watching something. It requires you actually feeding it information. But the minute you start giving it some kind of true qualitative data, this is what you love, then it moves into more of a mix of qualitative into quantitative. The more of that quality you give it, the better and better and better it gives.
Yes.
Is it perfect? No. Will it ever be? No. But the point is they want to have the best algorithm to give you that information. So you're sticky.
Yeah.
Same with Instagram, same with hbo, same with everything else. So it's the same reason why if you're on Facebook and you like more posts, you're going to see more of those things. I don't have to explain the algorithm to anybody. What I want to explain is the accessibility of what now AI algorithms give us. It's freeing. It gives you the ability to launch what you want into the world.
Yes.
About every month or two, I'm launching a new side project. A random idea I wake up with.
Right. And you're like, here it is.
Yes, I'm a coder. Yes, I understand integrations, but I'm just plugging systems together. I really hung up my coder hat. I don't code a lot anymore.
Yeah.
But for example, we're talking about ways that we can improve your app. We saw a limitation that we were going through and I was able to code a prototype and I sent you a loom video of showing you how that works all through ChatGPT. I still understand code way of approaching it.
Leverage. Yeah.
So I was able to ask it for what I wanted at a higher level. But my 13 year old daughter can now build a prototype if I just show her how to prompt. My 11 and a half year old is starting to ask ChatGPT questions. They're the kids that don't just Google search, they also search ChatGPT.
Yeah.
I told them we're getting into summertime like we're recording this right before June and I was like, you're gonna have a summer school session with your dad and I'm gonna teach you an advancement that and also showing some of these things because girls, you're going to use this in the future and you will not fall behind under my watch. So yeah, your dad teaches this and your dad works in it, but I want you to have it.
Yeah.
And I've caught my daughter. We'd be in the car talking about something. She doesn't just go to Google, she'll actually go to ChatGPT and type. And almost every time she gets a one shot answer.
So good.
And I do the same thing.
Yeah.
There's times where I'm like, I asked Siri something and I just get frustrated and like shut my phone off. And then I go right over to chat CBT and I ask a question. I'm like, great, done. That was it.
I love it.
And it's the semantics of change. Right. Like this is just how things are evolving.
Yeah. I also. The prompts that we give it. Right. And the how we ask the questions is the. Is the new language that we're having to learn. I think to leverage these tools. And you know me like this, this platform is all about asking, right? I do. And as a coach for so many years, as an executive leadership coach, an entrepreneurial coach, like powerful questions actually allow for the biggest change. So as we have gotten to this point where we're leveraging these tech platforms to get our innovative ideas out there faster, what I would love for you to share is when it comes to impact, right? And the impact you want to have in the world, what is the thing that drives you the most to show up every day with the willingness to learn what's new and best in order to serve others with it.
Oh, beautiful question. It's such a multifaceted approach. But I distill it down to one thing, which is accessibility of a brand new type of technology that nobody has access to before. Which opens up Blue Ocean theory.
Yeah.
The fact that my daughter who's 13, can build a full stack web application just by asking ChatGPT for free. How do I do this? When I was 15, 16, I was building Frankenstein computers and putting things together. My dad bought a DOS for Dummies book and I read that cover to cover and started building programs for my Boy Scout trip. Absolutely. Line 10, line 20. All this right now, just by imagining, just by. But just by thinking about different ways of doing it, we can build it into life. Yeah, here's an example. I woke up, I don't know, a couple weeks ago, and I had an idea of what's one of the biggest roadblocks that we have when working with AI. It's, well, we don't know what questions to ask, we don't know where to start. And even though I love my mom and she's gotten better at tech, but I'm just going to pick on her for a minute. My mom's not a person that would go figure out how to use ChatGPT.
Right.
It's just not on her agenda. She's retired, she's happy. But there's so much value on the other side of that contention point. And I was like, well, what's one unifying factor that we all pretty much have? It's text message. So I was like, well, how can I have, like a no interface, no friction way of working with AI without writing a single line of code? I piped a text message platform in with OpenAI, and now you can just text a photo to a phone number that I registered. Yeah, you type in the keyword, explain this. You texted a photo, and it comes back and it uses Vision AI to explain everything. And that may not sound like much, but when you think about what that can do for you, it's like, is this a poisonous plant? Does this have GMOs in it when you're shopping? This plant is dying. What can I do to fix it? It comes back and it's like, well, it looks like it's malnuture and everything. I asked it to translate something. Like, I took a picture of Sriracha bottle, and now I know what that actually means in Chinese. Is that a full business model? I don't know. Maybe.
It could be.
I'm gonna launch it. I'm gonna see where it goes.
But are you gonna have your mom on it?
I'm absolutely gonna show my mom when I get home this weekend. But the speed and the access to information compounded with the ability and the reach the. It's almost hard to comprehend because I'm not the smartest guy in the room, but no one needs to be. No, it's just the ability to iterate and to try something that we've never had before. Yes, it opens up opportunity in every field I can think of. I've yet to find a field that you can't do something with AI. So if we feel like we can't get ahead, if we feel like we don't have that little advantage, or we feel like we keep getting shot down. It's like, well, why not use a new tool that we were just gifted.
Yeah. Make the connection and the relatability more accessible.
Yeah.
Because you know, a lot of people have this fear that we're going to become robots or that the robots are going to take it over. I personally feel like AI is allowing us to leverage areas where we shouldn't be wasting our time anyway. Like it makes us more efficient. It does my, in my opinion. But it also will allow us to be more human when we're together.
Yeah.
Because the time freedom that it can create when used properly to get out of our own way of the hemming and the hawing on something and then you just plug it in and be like, here's the result. Copy paste, use it, move on. Right. Like, and especially for content building, like a lot of that's how I got into starting to use chat, GPT and now building this app on the what's next and all the things. I feel like there is an opportunity to have more time now for connection. Yeah. Because we are leveraging the tools and that's what technology brought to us. But I feel like that part of that fear conversation is that what's it going to turn us into? And I feel like for us to connect better, it's going to make us actually figure out how we connect humanly together. Y so in that realm, in that thought process, how has AI made you feel more embodied in yourself or more human in your connection with people?
Oh, I like that one. Something that came to mind when you were, when you were explaining that about like what will it turn us into? You know, I, I once read or I heard from a very smart person, it takes the same amount of energy to worry as it does to be. And that really changed me when I really thought about that. So we can read that as like what will AI turn us into? Or what will AI turn us into? Right. It just the quick little shift of that opportunity is everything. So yes, we've seen iRobot. Yes we've seen. They're movies, stories. Will the robots take over? I don't know, maybe, but we're not there today. It's not going to happen tomorrow. But it could get worse before it gets better. But we're going to learn along the way and everything kind of gets worse before it gets better because we pressure test it. As humans we're meant to try and to experiment. That's the era that we're in right now. Trying and experimenting and we're going to get it wrong. But there's some things we're going to get really right. So simple things. Like one of my clients, we built building this technology, finally starting to go in and analyze a lot more of the data and understand what are the dynamics, how often do people come back and use it. I know my way around Google sheets. I'm not a mathematician, but I can build a pretty awesome pivot table and do data analysis and all that stuff. But you know what's really great at math? AI.
Yeah.
I fed a 68 megabyte raw CSV file with hundreds of thousands of rows and I just said, make sense of this data. That was it. That was the whole prompt.
Oh my gosh.
And it came back and it had. And I. And here's, here's a pro tip with prompting because prompting is such a beautiful science is if you ever don't know what to ask, ask what's on your mind, but then empower AI to ask you. Refining questions for the things it doesn't know.
Beautiful.
Because it's all about context. And yeah, it's absolutely. Chat with GPT.
I know, but I just want to make that point that it's not like search engine put in keywords, ping pong.
Match with search engine.
It is a dialog.
This is a dialogue.
Prompts mean that you prompt it for what else do you need from me? Or I need you to refine it this way and see what happens.
So in that example, I could have spent a half day just headphones on, deep diving on this data, figuring it all out and still like not totally confident in my logic. Did I mean to do average? Did I want to do median? All these things. Right? We're human. Like we could be great at something.
But we still need to refine it.
Want to refine it. We want to be confident in our output. So for me, integrity is everything. If I say I'm going to do something, I want to get it done. An interesting way of doing this is I was able to get to that data so fast that I was like, I'm kind of shook. Like this is right.
What do I do with my time?
I can use all that reclaimed time to come to the answer from another way and feel even better about delivering that. And now you can ask it to draw charts. Now you can ask it to draw correlation. Now you can ask it to come up with themes, things that normally would have taken me days to code an algorithm for build it knocks it out.
Yeah.
And was it perfect? No. Did it need to be? No. But it allowed me to get back to what I'm doing and.
And leverage your time the right way.
And leverage my time. Be a better husband, be a better father.
Exactly. The human life.
Work on another project like you can.
Bring on another client.
It's not about expand your business, overloading yourself. It's about using the tools to do the thing. It's like if you've only ever built roofs and you had a hammer and somebody handed you a nail gun, you were just like, what is this? Yeah, I can fit. I can do the same thing, but faster. And it's probably going to be a better nail.
Yeah.
Are you kidding me? Like, that's what we've been given with AI we just have to be willing to actually try it.
Yeah.
If you're scared of that nail gun or if you're the farmer that's scared of actually buying the farm equipment and you still want to do everything by hand, or you're the mathematician that wants to do long division because it guarantees accuracy when your competitors using a calculator. There's a time and a place and we just have to decide when's the right time for us to actually try some of these things.
Yeah, I think, I mean, I think we have very similar experiences on the leveraging curiosity to see what this could do for us as it does for us. How do we become more efficient at it as the efficiency builds, where does that time now go to be more human?
Yeah.
This is literally how I love to leverage these new tools that come out. It's how I've leveraged technology from day one.
And I love that about you.
It's always made theme.
You've always.
I've always stepped into it. And same with you, because you've now your. Your platform, your business, your partnerships are all about allowing people's greatness to show up in the world. Leveraging technology at its finest. Yeah, right. Because you are so curious to master it for self that then you turn it into a service for others, which is beautiful. Which is why I love working with you, because we have that in common. My skill set is I see all the systems, like people systems and leadership systems, and then the actual tech systems and all the process systems. And I have that weird beautiful mind shit that I can integrate it all and stick it in something useful or help somebody lead better in their world. And you allow it for efficiency, for someone like me to be able to show up even more extensive with this, with this app that we're launching together. And then leveraging the tech platform.
Oh, thank you for that. And you know, you mentioned like, what are you going to do with all that time?
Yeah.
A common thing when I talk about this is I actually get people thinking, where do we want to be selfish again in our life?
Like you're like self full or selfish?
No, selfish.
Okay, tell me.
Because we're both, we're more selfless people. We want to give, we want to connect, we want to do all these things, want to help everybody out. When's the last time you helped yourself? Now I know you do take care of yourself.
No, no, no, I want to hear this. Yeah.
Where. When was the last time you actually prioritized being selfish for a minute? Like, what do I want?
Yes.
Do I really want to get stuck in all this data even though I committed to doing it?
No.
No. But if I've committed to doing it, I said I'm going to do it. I can be selfish for a hot second and I can use a tool like AI, like ChatGPT Free.
Right.
And I can get my answer and.
Still get it done in an efficient way that allows you to have your.
Time that you probably could enjoy. That time I had my headphones on, I was petting the dog. I think I even kicked my feet up at one point. I was like, this is actually kind of fun. I moved out to my backyard and I sat by the pool and I finished all the data analysis typing. Right. And we're not talking like, I wrote no code to do that one task. I know I asked it to give me an output and if I didn't, I said, I don't like this. Do it again and do it this way. Now give me the output in a table form. And it built a little table.
I love that.
Now give it to me in a CSV. And it gave me a back CSV. Now give it to me in a graph. ChatGPT has interactive graphs. Zoom in. Look at it.
So good.
So one of an unlimited amount of examples that we just have to try it.
Yeah.
So.
But it gives you that leverage.
Selfish idea. Every time something feels like a task, it feels like work. You sit back in your chair and you're like, ugh, I gotta do this thing again. Do you? Is like that question. I keep running the mind and this was one of them. I knew it was important to have data driven points to decide what was going to happen next. And we're going to do the same thing when we launch for you. So do you want me sitting there doing all this manual math? Do you want to do that? Manual math, make a robot do it. It's going to be better. And that's where we can be selfish. We can move on to something else.
Yeah. So I like using the word self full versus ish.
Oh, I like self full.
I like self full only because it's about filling us up.
That's a good one.
You know I'm going to use that now. Yeah. Because, because selfish has unfortunately the connotation that it's like arrogance or like, you know. So I like using self full because it's all about filling your own cup, you know, and everything. I, you know me, I always work with people to find the alignment of like what fills you up and let's build a business around that so that you're. I can't turn this off anymore. What's beautiful about what we're building is that I was reaching capacity. I cannot reach all the people that I would love to reach. And also I've gotten to the point where a lot of people cannot actually afford to work with me because I build seven eight figure businesses and I, and I assist with leveraging all the strategies and the tech for it because I get under the hood of each individual business. That takes a lot of time.
It does.
And so the efficiency of the platform we've built together and cloning myself right in the system has allowed me to feel more self full. I can't even describe the freedom that I received when I got the first version of the app and I started to test it and I was like, oh my God, I don't have to be this version of me anymore. This version of me that's like, I'm sorry, I don't have the time for you. It's actually like now you can go ask her. Go ask her. Hey Karine, go ask her. Like she's around in your pocket. Ask her what your question is for.
Two hours at a time at 3am Whenever you want.
And the responses have been quite accurate, which has been really cool that it. And it's actionable, which is also me and I, I'm hoping that as more people dive into leveraging the tech that's available to us, working with you and your companies to like assist them to do that and just being curious as to how they can be more self full by doing that and having that connection because you and I are all about that too with our impact. It just creates such an inner freedom.
It does.
So it's been lovely. Like it's just. And I'm excited to see it go out and like all the other projects you're working on to me too.
But leverage, I dog food it as well. Like, I have my own building, and I've been asking people in my communities, what are some of those questions you want to ask me?
Yeah.
Or this is actually really good feedback I got. Think about how many questions your clients or prospective clients never asked you because they actually didn't want to be judged by that question.
Right.
So how many times have we not rose our hand and asked our mentors? Because, like, I don't want them to think that I'm thinking this way, but sometimes we get stuck in our head.
That's right.
I. When somebody shared that with me, I was like, well, yeah, I might have the chat logs. I'm not gonna lie.
But yeah, yeah, yeah.
You can ask how many times. You're like, I got a dumb question for you.
Right.
It doesn't have to be a dumb question. No, it can be wherever you're at. So impact is one thing to reach more people, but isn't it cool that not only can we scale horizontally, but we can scale vertically?
Yes.
Right. It reclaims your time, it reclaims your efforts. It's still finely tuned to how you would answer it because that's where people are going to, but it then allows you to do it over and over and over and brackets your real time, both for you and for them.
100%.
So now you can go deeper with the connections that you're the closest I.
Can be in the room. You can be in the room and do the things, like, from a larger scale and, you know, on audience, like the stages and like, actually do the talks where it's impactful work. But then when they want more from me, be like, hey, Karine, like, start there. And if she can't help you, then let's get back in the room together. And it makes. It's really cool. This is great. I have one last question before we wrap things up, and that is if you were to think of in your past a question that you asked of someone who had gone before you that shaped how you show up today. What was that question you asked and how did it shape you?
Oh, I like that one. The first thing that comes to mind is I interviewed my grandfather. So I'm, I'm. I'm. I grew up as Jimmy. Right. But I'm Jim, but I'm the third, so I was named after my grandfather. Right. My grandfather served in Korea. He's a wonderful man. He passed about 15 years ago, but as a kid, I did One of the hero kind of, you know, things. And the reason that he was a hero to me, not just because he was a war veteran, Purple Heart and all those things, but he was the only entrepreneur in my family. And before I knew I was an entrepreneur, I had those tendencies. And I remember interviewing him with a cassette recorder, you know, sitting in the lounge chairs in his den or whatever.
Love that record button.
Oh my God, I wish I still had that One more use of AI Yeah. Making yourself infinitely forever. Right, but we'll get into that.
No, no, it's a legacy play.
It's a legacy play. But I remember asking him questions about what led you to want to start your own business. He, he ran a Texaco station. He, he kind of bought his own gas station and that and all those things. And for him it's hard to remember the exact answer. And I really do wish I had the recording. But the spirit of the answer always stuck with me, which is he wanted to take the risk to invest in the future freedom that he wanted to build for his family. And nobody else in my family is an entrepreneur. So I grew up kind of feeling very like isolated. And at his funeral, I remember giving a eulogy, like a little piece of it.
Yeah.
Spoke to that. And I was like, well, him doing that very early is what inspired me to really do the things that I'm doing. So for me, yeah. Like I talked about being self selfish and things, because that's a benefit of what we're doing. But it all comes back to how can we really do the things that we do at scale to help other people in a way that brings us together, gives us more clarity in ourself. At the end of the day, it makes us feel good about the work that we're doing in the world.
Yeah.
If it wasn't for that gas station that he had, he never would have had the opportunity to take a older car that he was able to buy. And he was a master mechanic. So he fixed it up. And that was my dad's car. My dad then saved that car for me, taught me how to be a mechanic when I was 16.
Amazing.
I had an old 68 Chevy. It was the one guy, it was the white guy in high school that had the big old muscle car. Everybody else had little Mazda Miatas and stuff. Right.
I love it.
But like those little, those little things put you in motion to be further and further ahead. So, you know, I'm not overly rich or massively wealthy, but I don't need to be highly fulfilled, highly Fulfilled. And it's the knowledge that the work that I'm doing positions me a little bit further to be able to share that. That's a quality of life piece that I took from him, which is why I was really glad I asked those questions at a really young age.
Yeah. Thanks for sharing that story with me. I love it.
Yeah.
You know, there's so much power in what we choose to ask. Listening to the answer and then receiving it and receiving and acting on it. Beautiful. Like that's what those are game changing moments. I appreciate that story so much. Is there any challenge you're facing or a question that I can support you on today?
There's only one way to find out and that's when I can ask Karine when this launches. I'm not gonna lie, you're saving it. I've been asking a lot of questions, testing the machine learning and is she helping you? Of course. It's so fun. It's so fun because I actually get to craft your outfit a little bit. Yeah, that's almost like pulling strings a little bit.
But love it.
Not today.
Okay. Just, just checking.
Just your friendship and it's been wonderful to get to know you better over these years and I know we're going to have a lot of fun together with what we do.
Yes.
I appreciate you.
Well, thanks so much for, for allowing me this time, but also to have this dialogue because I feel it's important to help people understand that this is not something to fear, this is something to leverage and that some freedom can really be on the other side to be more full in our lives.
Yeah.
So cool. If you want anyone to connect you or, or you know, reach out, what's the best way to do that?
Yeah, jimcarter, me Forward slash start. I, I just. So many people are asking just where do I start? What do I do? So that page, I got a quick little video that says exactly what I'm going to send. It's all over email. Just one question. Do you want everything over time because you're busy or do you want me to send you every resource I've got? I just compiled it, put it all together.
So good, guys.
It's got case studies, it's got my own projects. I've got a newsletter I send every single week, keeping everybody updated up to date.
It's all.
I just love keeping the pulse on this. So Jim Carter, me start.
Amazing.
I would love to email, email anybody who's interested and just share what I'm up to.
Fantastic.
That's it.
Well, thanks, guys. Thank you for listening and also watching. But also, Jim, thank you so much for your time. I appreciate you so much.
I gotcha. Love it.
We're in it.
