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Hey guys, and welcome back to Content is Profit. Today I want to read you something that I wrote and I want to hear your opinions. Let me know. So AI didn't just change technology, it changed the rules of business. Five years ago, building something powerful meant time, money and a team. Today, you can launch faster than ever, but most people still end seeing results. So the real question, why are some creators and entrepreneurs printing revenue with AI while others are stuck playing with tools? In this episode, we're going to break down the real shift happening behind the scenes and the five lessons you can apply today to turn your content business into a profit machine. Does that sound good? Do you think that's something that we can talk about? Well, earlier in the last. Earlier in this month, I guess last week I was in a local event, it was a summit that I got invited by somebody here in the. In the studio. It was at AI Summit. And to my surprise, when I got there, I wasn't really expecting anything big or crazy. There were like three incredible speakers that run massive companies here in town that with incredible projects around the country, nationwide. They've been involved in this AI process since 2010, 2011, even before that, which was crazy. So we sat through three keynotes that gave very good background. And then, keep in mind, to me, I've used ChatGPT the most I've used AI has been for ChatGPT purposes and building very small agents. And I'm providing different solutions here for the studio, but nothing crazy, nothing for what you see with call work or code. We built a couple websites and here we are. But I think we're at a point where we need to start paying a lot of attention and building with this in mind. I've had a lot of conversations in our community where the conversation naturally levitates to that because the speed of execution now increases so much. I mean, the speed of where you can build different prototypes of whatever you're building is so fast and so simple if you try it and you know the frameworks. So like I said today, I want to kind of go through some of those conversations that we've heard during this minute mini summit that we did here in town and give you five actionable data or, yeah, not data points, but lessons that you can apply today if you're an entrepreneur, if you're a content creator, and hopefully we can frame it in a way that you can use it as soon as you're done with this episode. Cool. So we're going to go with the number one. And if you see me looking Down. I'm looking at my notes, man, like this has been also a big lesson for me and I really don't want to miss anything. So number one is models don't make money, systems do. So that was one of the big lessons, that the tool is not the business, right? How many times are we married to like that one tool? And this is something that we have to learn, we had to learn in our agency and in our studio, I guess the ugly way, because, you know, you invest so much time learning about a tool, you invest so much time learning about the tricks and the things about that. And people are so married to their tools, right? And what happens if that tool doesn't really evolve, evolve at the speed of others, right? So then you get left behind and it's something, you know, today we're seeing at the time of this recording, usage of ChatGPT has lowered over the last week, 295%. I read the other day, which was crazy, right? So companies learn some of the lessons, right? Companies learn the hard way, great models. Without the integration, there's no return on investment. Even today. Some AI models perform differently depending on the product experience. One example of this, just yesterday we have this research agent that we do for our high level client. We go and we cross reference ideas that they've accepted, ideas they have rejected, why they've rejected those ideas. We go back to Data on their YouTube channels and their podcast channels, consumption data, recommendations, recommendations from sources, trusted sources that they have, recommendations from different frameworks that we have all these data points, right, to bring them together so we can deliver 20 new ideas every single month. And these ideas are not just the idea, but like the hook, the frame, the angle. Are we talking to the right audience? Are we talking to the right customer? Like all these things, right? And we had this agent that would run on ChatGPT and we'll give a very decent result. And then we have to follow up with other few questions because it was not quite there every single time. The output was slightly different. We had to adjust. And yesterday with the whole Claude. Claude work and you know, the hype, I was like, let me rebuild this agent on Claude. And it took me about four hours to fully rebuild it to the point where we give the data and it runs automatically. And when we did it, we tested it out in about probably five minutes. After thinking, we collected all the data that it needed, we pushed it in, they did all this cross reference, it spit out 20 ideas. And the feedback from our customer was they were mind blown by this and Keep in mind, this is based on frameworks that we run in our agency. We just accelerated the execution with this agent. But the output compared of like tool two versus Tool one was massively different. The second one was so much better. So. But this would not have happened if we don't build on frameworks, if we don't build on systems and structures and then we just plug in the tools as needed, because tools are going to evolve tools. You know, especially today, we see so many apps launching and solutions being launched and created very, very fast that we're going to left behind if you stick to one tool. So that's my recommendation. Stop chasing the tools. You know, build your content, build your systems, build your offer on, on, on, on frameworks and things that you can then plug in specific tools to help you get what, what you want and then that will help you convert a little bit more. So an example that I have here on my notes is, you know, instead of using your chat GPT, the pipeline, which is the idea, the content, the lead magnet and the offer, and then you can plug different tools to do that instead of ChatGPT doing the whole thing. So let's say you had to repeat that process and then that specific tool, you know, is out of date or it hasn't been updated or you got hacked or whatever, then you can go back and you can reapply those things into new tools. Like, one of the things that we're doing right now is as a personal task to me, I'm building context documents so we can train different models with the same context that we have, so they can then go execute the task within those documents. So a quick insight here. 70 to 85% of all AI project failures are due to lack of implementation, not tech. So again, the tech will limit that implementation. So make sure that you have your frameworks, because if, if the app or the, the tech stack that you're using might not perform, that you can quickly shift and adapt. Cool. Number two, we move from create to now leverage, right? And I think a lot of people are still stuck in the creation stage. And this is not only for content, but on the business side. So here's the big idea, right? The barrier to entry collapse is minimum. It's so small now to go to market, right? Like just earlier, we're talking to a coach. We're doing this secret project that I'm not allowed to share just yet. It's going to be incredible. Personal journey. But he's like, man, I've been wanting for these many years, build you know, you know this checklist and this guide and this thing and launch this product and it's so crazy where like today like that would take you so long by doing all the research and, and building our, designing it and seeing what people are actually responding to that probably today, you know, a quick stack offer that you can self fund with a you know, self liquidating offer you can probably build in an afternoon and break even. Which is crazy, right? So like now take it a shape it with prompts and obviously APIs within your tools and it is very possible. So this is a challenge, right? And earlier this morning I was in a conversation with my dad, well yesterday and then earlier this morning about he really wants to learn AI, he really wants to use it. And he's like what courses should I take? What YouTube channel should I watch? I'm like well it depends on your problem, right? At the end of the day it's like what is the problem that we're trying to solve? And then we can find a tool that does that. So in our, in the previous example with the research. Well the problem is that we need to do a very efficient, fast, accurate research process to deliver high quality ideas because there's a lot of pressure for this channel. Specifically they have 20 million downloads, they're trying to grow their YouTube channel. So like what is that process and then what is the tool that is going to allow us to do that? Today is cloud, tomorrow could be something else. So for him I was trying to do that and I wake up to this text with like five different courses is like, I would love your opinion, which one should I actually take? And I was like none of them. You use the tool like there use the tool to go in and ask about how to solve the problem and do that. So a lot of times as business owners we try to, or entrepreneurs we try to build from zeros, right? So like don't. Right now we have the tools that we don't need to start from scratch. And I'm guilty of this, like I'm applying these as, as I regurgitate this information, right? Is we can start with existing content, existing offer, existing audience. Like we can go ask them things. We can, you know, he's like, hey, here's a full report of like who my AUD is. This is their background, this is the offers that I have right now. This is, are my opt in rates, These are my, you know, these are the pieces of content that are resonating. These are the ones that are not resonating. What are some Recommendations, right? And then it will amplify and will give you this information, these great feedback so that you can implement and the feedback for the next, the next time. So a good example of this is what we talked a thousand times in this podcast, is like the M to M system, right? Micro macro to micro. Like, how do you create like one long form piece of content into 10 assets? How, how can you leverage a tool to do that? Right? Not just humans, because now in humans, of course, beautiful and amazing and yes, you still need them in the process and I can tell you where. But with the right tools and the right process, you can speed that process up of selecting the right clips that are specific to your audience. That's another case study that we did earlier with voice specific and the same way that they want to do it and consistency over time because AI will have it right every single time versus a human. We're testing this out. Maybe the human outperforms the AI, we don't know, right? But you can implement and you can do that and you can direct them to a funnel that AI helped you build with the right messaging with the thing. So start implementing really, really quickly and start looking at those opportunities and those very specific problems that you have in your business today so you can start solving them with your preferred tool. And if you're anti AI, I guess you can start skipping this episode because it's all about it. Like these conversations with these people really inspire me to think about on a wider spectrum, as in building the frameworks and then plugging in these tools. So I'm very excited because we've seen it at work and we're testing some things and we're seeing it work really well now. Three, speed is now the ultimate competitive advantage. Right before it was just like the idea, like, who is the person that's going to do that? Well, right now it's like, how fast can we implement so we can gather feedback and get better every single day? And it's crazy. I mean, we see videos out there of people that have maybe, you know, 10, 20, 30 agents working for them. And then again, I don't know the back end, like, what is the type of work that they're doing? But in your own industry, if you start implementing at least one of these things and solving one problem a week, your speed of execution and your speed of success is going to increase and it's going to make your life easier, right? So like AI just remove the friction. But most people still don't speed up. It's funny, they were Sharing a story inside of there, where the bottleneck were the people, right? Like, these companies are updating AI very quickly. They're like, yeah, we have all these things and we can code it, but we're still the people are the bottleneck, right? So there's another pose. This guy just got hired anthropic, and he's been working there for four weeks. And he says nobody codes anymore. Like the physical task of coding, basically, they set agents with specific tasks and then they basically coordinate these, like, little agents and little workers to achieve the success. And this is on a. On a coding example. But how can we bring it back into the content side? Yesterday we were sharing with the team, like, okay, how can we make our work more effective? So let's say on the podcast industry, like, an average podcast will take you about, you know, four hour. If it's one hour is about four hours of processing time between, you know, not only download the content, but looking at the content, selecting the clips with the right message, the right hook, the right audience. We're able to build a little agent to test this out. And he immediately on the editorial phase, it already saved us an hour and a half. And then we did another one for the quality control processes, which is saving another hour and a half. So now, now we're saving three hours in our internal processes. Wow. How can we scale this? Right? How can we put it in hands of our team so they can do things more interesting and more exciting, right? So now teams have this excess capacity that, that could turn into new opportunities, new coaching, new, you know, new opportunities for them to pursue, maybe more free time, right? Different things. So what in the content world, if you have more capacity, right? Talking about the publishing pyramid, you can go to BusinessCreator club, you can increase your publishing frequency. You can, you know, shorten the distance between idea and actually final piece of content, right? With research, with, you know, better, better prompts or better, more accurate data feedback. So you can go implement really quickly, right? And then you can also test faster than competitors. So top creators publish three to five more times than average creators. This is by HubSpot Content Benchmarks. So again, if you're at a point where you're like, wow, I got a 3x, I got a 5x, my output. How do I do this? I think this is a great opportunity for AI to come in and support you. We're going to run through the last two are a little quicker because we have to get ready for a session here in the studio. But, um, number four, this is why People stay stuck, right? So access to the tool doesn't equal results. So companies have all these tools, but they don't know how to use them. And I think this is like the bottleneck today that we're mentioning on the last spot where, like, people are, you know, stopping from the progress, right? So things like prompting, workflows, and strategy are missing. And I think this is where it's so valuable. If you're listening to this today in your company, in your content, in your business side, I think you fall into the strategy session, then prompting. You can use AI to teach you how to prompt. For example, like, what is the perfect prompt? Well, ask the tool that you're using what will be the best way to deliver the instruction so they can do their job the best way possible. And you'll be very surprised as you start collaborating with these tools is. Is pretty crazy. I'm sure there's a ton of formulas out there, but what I found is like, okay, if I want to do X, if I want to solve this problem, it's like, why do I need to ask you specifically and what do I need to tell you and give you so you can solve this problem the best way possible, right? So build internal playbooks on how to do these things. For example, what I just said is like, this is how we build a prompt. We ask AI to build the prompt, right? And then obviously train your team, train yourself on how to do this. So one of the things that we can start implementing is you can ask the team. It's like, okay, to make your job easier, what is one thing that you can do or what tool or what process you can implement with AI to make your job easier and better, right? And then they can present that back to you. That was a challenge that one of my coaches gave us. You know, it can be like prompt frameworks, and then you can scale those depending of, like, your type of process. So in our case, like, what will be a prompt for the research for the podcast outline that we can scale over every episode, and then you can start delegating those things. Or even you can build an agent to do this for you, right? Content, workflows, monetization paths, and so on. Like I said, these are things that we are, you know, actively testing as we go. Our first step is building those. Those context documents. And I'm literally like, for you to have context be with, with ourselves and our company and our brand to build websites, funnels, accurate messaging. We lean heavy on story on the. On the podcast episodes. Like, what is the Things that you need to ask me to build this context document. And that's, you know, what we're going to go do. The winners aren't the ones with the tools, they're the ones who know how to extract value from those tools. So hopefully this is the path to do that. And the fifth and the last one for today is build versus buy your new profit lever. Right? So the big idea is AI is obviously disrupting everything today, like not only the economics, but also every single industry. And I think there's a ton of opportunity here for the people that start implementing in their current systems. We don't have to reinvent the wheel, like we said earlier. We have to start looking at like, okay, inside of our process, what can be compressed, where can we save on time, where can we implement better processes and so on. So now companies are asking, right, like why pay 100% if we only use a 20%? This is related to the presentation that they gave us where these big companies, they all buy these massive licenses for software, right? And they're using only 20% and today is cheaper, let's say a solution for them like this. Microsoft will be an example, right? Like they buy the Microsoft license. But in my specific case, this is something that I was planning earlier today was a quality control tool that can scan a video and basically give us the title, like the title screens and the subtitles. Not only the subtitles, but the captions. There's different graphics that go there. We have some very specific grammar rules and things that we do with that. And that's a human that checks on that. Now we're in the intermediate with human with AI and an agent. But it's like, okay, is there a tool out there that we could buy or that we could start using to do that process? Well, there's several that do it from the beginning and I don't think exactly the way that we wanted to do it. Well, instead of now waiting for that tool to exist, we can build it with a tool like replit. So I literally went on my drive here to the studio and I went on the voice note chat inside of ChatGPT and I'm probably going to test it with Claude 2. And I'm like, look, this is the solution I want for this problem. Walk me through, like, what do I need to do? And he literally walked me through after a little bit of a 15 minute conversation back and forth. Now we have an SOP to build it and now we could technically build it in an application called replit that we used before, where it's like our own internal quality control tool. So to the point where you can start building little tools for little jobs, and you do the job, and then maybe you don't use that tool anymore because it evolves, which is crazy. You don't have to, like, buy. You can actually build these things custom to your business just by talking to them, which is crazy, right? And, you know, we've seen a couple of that one. Another example that I use in my personal life was I was in a trading card show, and I wanted to know the value of a soccer card. And for soccer cards, it's really hard to search them. For some reason, they're not as popular. So it literally build out of replit this thing that I took the picture of the car, and it will scan it, it will connect with ebay on the back end, and it will tell me the last prices that that specific car was sold for. And I could basically gauge and make an offer for the person that I was either buying or selling it from. So very exciting. You can actually build these things. So as a creator, right? Like, how can you apply this, like, building systems instead of overpaying for, like, a bunch of tools? So, so specifically, line up, like, what are the things that we got to do? So on a podcast or long form or short form, specifically, what do we need to do? Go back to the six levers that we do in business Creator club, right? It's like the research, the creation process, the production process, distribution, monetization, and then operation. So in each one of those, like, where do I need help? In our specific case, if we do a solo episode is with research, and the outline of the episode. Start there. Okay, how do we do the research? What are the sources? Collaborate with AI to see, like, what's the best way to do that? How do I deliver that research? And how do we create the outline? What is the master prompt? Ask AI how to create the master prompt. Right? Same thing with Eclipse. And these are things that you can start solving, and then you can start stitching them together with tools like Zapier, for example. So very, very exciting. So how can you replace maybe your editing team, depending on, like, what type of video? I think there's still a human element that is super important on the creativity side that we can use. But on copywriting costs, for example, and there's a constant debate. It's like, okay, well, maybe I have a really good copywriter. Can we compare them both and see what we can learn from that? The research time, I think that's super important. So AI can reduce operational cost by 20, 40%. This is by Deloitte Projection. So again, depends on what stage of business you're in, right? If you're a solopreneur, if you're somebody that's trying to make it on their own because have a budget or you're strapped for cash, for example, I think this levels the playing field big time because it allows you to save a ton of time. But anyways, these are the five. The five lessons. I'm excited to do more episodes like this. Let me know if this was useful for you. And if you want to find out a little bit more and continue the conversation and how to implement in your business and your content, you can go to BusinessCreative Club. You can check out more episodes in content is profit.com and I'll see you in the next episode. Take care.