Most people still create content in silos, a speech here, an article there, maybe a video if they have time. But what if you have flipped that around and built AI first content system where every idea that you share on stage automatically becomes a cheat sheet you can give away, an article for your website, a video that you can put up on YouTube, and even a micro course. There is so many options available to you. And they're all connected and all consistent. It's not a theory anymore. It's how smart experts like yourself could be scaling their influence without burning out. And the point here is not burning out. In this episode, I'm going to break down an AI-first content strategy, and I'm going to take you through how to move from taking your speech, turning it into cheat sheets, articles, videos, microcourses, all in one clean workflow. And there's many ways you can do this. You can do it step by step, or you can automate it if you want to. You'll see how to use AI to keep your tone, your message, and your energy aligned across every platform, and how to turn one strong idea, your speech, into a full ecosystem of content that drives leads, builds your authority ongoing and sells your expertise long after you've stopped talking. So let's get into this. Number one, we need to start with spoken insights, not written ideas. As speakers, our whole world starts on a stage. Most people start typing. We work in a slightly different manner, and we need to understand that because it's very powerful. Because we're on stage, because we're producing audio and possibly video, we have a lot of power that most content creators don't have. And that is that when you're speaking, you're speaking up to 120 words a minute or maybe more of content. And if you're on stage for 45 minutes, that's a lot of words. To sit down and actually type that up with your fingers would take a long time. So we're at a distinct advantage as speakers. But if you take an AI approach first to your content creation after you've done your speech, you can really change things around in how much other content you can produce. AI transcription captures your natural rhythm, your tones, and your emotions that written planning actually kills. When you try to write stuff off and it's lacking that emotion side of things. Whereas if you take your written word and you take a true transcription, remember you can get like a cleaned transcription or a true transcription, which is every word you said or tidied up. It's up to you. You can do both. That recording becomes a foundation for your cheat sheets, your articles, your courses. And that authentic voice that you use on stage, the way that you express yourself and you share your information with people so lovingly, is baked in from the start. And this is a key thing. You start with emotion and authenticity, and then you create the content. Instead of creating content and trying to build in emotion, because as we all know, writing can be quite a boring thing to do for many people. And it can be quite hard to sit at a computer and just write an article. It's easy to let AI write the articles completely for you. I understand that. But wouldn't it be better if it contained some of your isms, some of those things that make you that you say on stage and your examples and your stories without you having to sit there and trying to nut them out? You can do that using AI. So there's lots of tools that we can use to do this. The first one that comes to mind is GenSpark. And by the way, if you don't have Gen Spark, it is an AI browser. Have a look in the description of the podcast. You'll find a link there where you can grab it. It's completely free to download and try. And I've been using it for months. It's extremely powerful. I'm going to refer to it multiple times here. But GenSpark can actually take your transcription, or sorry, it can take your video and transcribe it. It can take a video from YouTube and transcribe it. It can give you summaries. It can do everything for you because it uses multiple super agents rather than just being like ChatGPT where you're working with one agent. GenSpark allows you to use a range of programmed agents to do things just by talking normally to it. And that makes it super powerful from the perspective of speed. You don't have to train it because it already knows. You can add training and you can improve it. And I'll talk about that a little bit later on. But GenSpark is so good in this way. And the other one, of course, is Cast Magic, which I really love. And I've noticed lately they've been doing some updates and some changes there. And obviously, one thing I love about Cast Magic is when you upload your audio video, depending on which one you use, it will transcribe that first of all. And then from there, they have a set of AI agents that just automatically run. And they give you timestamps and they give you a transcription and they give you short tips and they give you QA and articles, all done at once. It just works its way through and it's completed it. And you log in and they're all completed. So you don't have to tell it to do each step. But the other thing I really there is I can actually program custom prompts, and the custom prompts then are added into that same workflow. So I might set it up to write a tick sheet or a cheat sheet, depending on what you want to call it. And because that wasn't existing there, the next time I log in and upload a file, it will automatically create that again because it's added into my workflow for me. So I can get rid of the ones I don't want and I can't have to change my workflow. I don't need to add anything. In fact, I don't need to think at all. And you'll be able to do this with a whole range of tools very soon. OpenAI, for example, has now released all its agents and the ability to program custom agents. So you'll just be able to create a custom program very simply using text or speaking to it and getting it to create the agent for you. A bit like we've used with Make and tools like N8N for creating automations. Of course, they're still available too. But it's getting really easy to have one thing turn into a whole range of other things in one simple step. So keep your eyes on what's going on online and look, stay in contact with me. You can always connect with me on Facebook. I'm always available on Facebook Messenger or on WhatsApp. And you know, I can keep you up to date on this thing. Otherwise, of course, keep listening to the podcast or catch up on my YouTube channel where I play with all these tools. But Gen Spark and Cast Magic are the ones that I absolutely adore and I spend most of my time in. And as I've always said, it's about choosing the tools that work for you. If you like Gemini, then go for Gemini. If you like Perplexity, try the Perplexity Comet browser, which also has agents. It might be the one for you. It's super powerful too. Play with something. But once you find something that works, stick with it for a while until you find something better. Don't keep reinventing the wheel each week. And the less steps you've got to take to do this, the better. So by the way, if you're ready to build a product that sells quickly and easily, why not launch a micro learning course that people actually finish and one that's profitable? Check out my microcourse builder kit at mrwebmarketing.com mcp course. It walks you through every step of design, recording, and launching a micro course that delivers real results to your business's bottom line. So, number two, you need to treat each format as a compression ratio, not a purpose. Now, this might sound strange, but I will go into more detail here. Instead of thinking, I want to turn my speech into an article, think of it in terms of compressing the data that you've got there. The data being your content, your information, your IP. A speech is like a full data stream. It's like all the information. And then we can compress it down into a cheat sheet, which might be 10% of what you're actually saying because it gets rid of all the extraneous stuff and just gives us the real key tips and the key insights. Then we have articles, which are about a 50% compression. So we've got structured explanations going on there, where we take your content and on stage, obviously we're moving around, we're answering questions, we're adding extra things in. The article can pull a lot of that extraterrestrial out and bring it down to about 50%. You can use video, which is 70% compression. You get more emotion in video and clarity. And using tools like DScript, which I absolutely love, you can actually get it to go through and pull out all the stuff that isn't actually important. Because when you're speaking on stage, as I said, there's a lot of extra stuff. DScript can go through and using AI, take out a lot of those chunks. So that will cut the video down considerably and make it better to watch for people who are watching online. Because we know from studies that people who are watching something on YouTube, they don't want to wait for all the pauses that you make on stage when you walk from one side to the other, or while you take a drink of water, or while you laugh at something someone in the audience has said, all these different things. They're fantastic when you're in front of a live audience because that's your connection going on, etc. But when you're watching it on video, you want them cut out. So video you can compress quite a bit. And then lastly, we've got microcourses in this case. And microcourses are small chunks of micro learning that you sell about a specific topic, which is extremely powerful and a great way to take what you've taught on stage and maybe take it a bit further or drill down into one specific point or framework. And microcourses are really you're decompressing the information back into modular teaching. So you're breaking it back into modules rather than one long speech. And maybe instead of taking all the speech, you might take just the framework you were talking about, the speech, and teach that in several modules. Remember, the great thing about micro learning is people learn stuff in depth but quickly about a specific problem that they're having and they learn to solve that. So I really like that. But think of things in compression ratios rather than not repurposing. I often used to think that it was just a case, oh, I'm going to turn this into that, but it's not like that. It's about how the information is filtered and cut down and expanded and pulled apart. And that's where you need to look at it. This framing makes AI your compression engineer, not just a rewriting tool. It's thinking, it's doing stuff for you. For transcriptions and cheat sheets, as I said, I really love using Gen Spark for this. And in there, Gen Spark has a thing called Gen Spark docs. And GenSpark Docs will actually create documents for you, all laid out beautifully with different color boxes and everything that you can save as PDFs and export. So you can actually even save the difficulty of creating them, making them pretty by taking them over to Canberra or something like that, rather than just having, say, a boring Google Doc or a Word document. Uh, GenSpark's docs can actually make some really beautiful stuff. So go and have a look at that, as I said, and you'll be blown away. Number three, let AI detect hidden frameworks that you already teach. This is one I found really interesting when I first started creating AI stuff, is that it would come back to me and say, Oh, would you like me to create a framework or a flowchart around that? I was like, oh, okay, this is unique. Because when you feed your transcription in AI, you can ask it things like, what process steps or what mindset pattern do I naturally teach here? And this prompt will bring you back some fascinating results. You think you're just teaching something, but you have your way of doing it. It's your system. The problem is you've probably never put it into words or into a framework. And while you may already have some systems in place, you might be missing a whole pile that you're teaching all the time without realizing it. Now, the great thing about this is AI often surfaces these really implicit frameworks in your speaking. This, as I said, this is the stuff that you repeat subconsciously. You don't realize you're doing it. And I see this all the time. I'll talk to people after they've been on stage and I'll say, I really like the way you taught that. And when I say you taught that, we're talking about a specific framework there. These frameworks can then become your branded systems that give your courses structure and marketability that make you unique. You can turn them into a whole range of saleable tools. You can turn them into literally a flowchart that you teach people, and that becomes the flowchart, the framework that you teach in your mastermind community or in your microcourses, however you want to teach it. You might even write a whole book about it. Many frameworks have whole books written about them. It is your most valuable IP, and you probably don't even recognize that you have it. You talk to people about creative systems, and they're like, Oh, I talk about this subject, and there's not really any framework there. I just have my way. It's not true. And the great thing is, AI can recognize that where you can't. Frameworks will give you repeatable processes that you can teach or sell. So get your AI to turn it into a flowchart for you. It will actually create an image, flowchart, that then you can start working from. It's sometimes a really good kickoff point to a whole new product or a whole new speech, quite frank. Number four, use AI agents as continuity editors. So instead of one-off creation, and this is always the case, people put something in, they get a transcription, they get an article, and that's it, they're done. Use a range of AI agents for each stage for the speech, the cheat sheet, the article, of course. You can give them shared context and you can tag things like tone, terminology, and metaphors to stay consistent in what it outputs. And that creates brand cohesion without you having to go in and edit things to make it sound like you inverted commas. You can use projects in ChatGPT where you create a project and you keep all of the work that you do around that topic under that project. So it's a folder essentially where you keep all the files. But you can set things like tone and files for background information, all that, and tie them into that one project so that everything is like self-contained in a little bubble. One of the things I would suggest is that you give examples of your work for the AI to copy your style. Okay. Don't try and tell it what to do. That doesn't work as well as saying, here's an example of my work, analyze it, and then use this as a basis for what you're creating. I've seen this multiple times where I've did it. In fact, yesterday I was doing it and it said, Do you have an example of your work? And I thought, oh, that's interesting. It's actually asked for an example. So I actually uploaded one of my books, which is Microcourse Profits, and it looked at my writing style and then it came back. It was creating a GPT to basically rewrite book chapters. So I wanted something where I could take one of my old books, modernize it, rewrite the chapters, but keep it in my voice, but also not lose the content. I didn't want to put in 7,000 words and get a thousand words back, which is what happens often. So I actually went and told it all those things, and then it asked for an example, so I gave it a copy of my books. And it actually I put a chapter in from an old book, and it turned 7,326 words, I think it was, into 7,530 words. So it actually made a little bit more content. And it sounded like me. The examples, the eyes and the you's and all those sorts of things that I use in my writing were very clear in what you saw in the output. So examples are extremely powerful. But once you start getting good results out of it, develop a feedback loop with the AI by feeding it back examples. So edit what you're giving it and feed it back in and say, okay, I've edited it to be closer to what I want. And it will then take that and improve on itself. Now the great thing is if you take the time to create your own custom GPTs, which is so easy to do now, you can do this once, and then once it's trained properly, you really never have to touch it again. And that's the fantastic thing. You can feed in your speech, and hey presto, out comes all your information on an ongoing basis in the style. Now, the last one I'm going to talk about feedback loops, but a different type of feedback loop. So I'm talking about feedback as in feedback from people who are working with your content. So each format that you give out, the cheat sheet, the micro course, the articles, whatever it is, should feedback into improving the other content you put out. So students in your micro course might ask questions and those become new articles, new facts, and new videos that you can do. So you're taking that feedback and you're using it. Cheat sheets, you can do things like testing different headlines. So you can see that 10 people downloaded it compared to one person downloaded it. So take those feedback loops you're getting from all different aspects, from who's clicking and downloading to what questions you're getting coming back. You're looking for audience reactions. And one of the things that I really love to see is if you can get an audio recording with some of the tools that are available, you can actually get it to detect emotional hotspots. Now, this is pretty cool stuff. So based on the room noise, they can tell when people are reacting to things. On the other hand, getting it to pick your really good stuff is a very similar thing. So you can say to it literally, I want emotional quotes, not just I want quotes. And it will look for that emotion in the transcript. Again, try using Gen Spark for this or any AI that you use on an ongoing basis. And once you've got that feedback and you've collected the feedback, then start to use that to create new content. Because you're going to need ongoing content. And you don't always produce the same stuff. For a podcast like this, I'm going to actually start producing summaries that people can download because there's a lot of information in here to listen to. So if you can get a summary, AI will transcribe this episode for you and give you a summary if you want one. But I think it's part of the process of being on stage and producing content is to look at how we can repurpose that content effectively, but take an AI first approach. Remember, going right back to the start when we talked about AI first, we were saying that it's much easier to create content from stage than it is to sit down and type. So if we start with AI from stage or from an audio or video recording that we've got, we are so far ahead of that manual situation. And then by dropping AI into the mix, we speed up what we're doing 10 to 15 times. So when you shift to an AI first strategy, you stop being a content creator and start being an idea architect. This is important. Content creators just produce content. You are a thought leader. You're a speaker. So why not look at yourself more as an idea architect? You're taking that idea, you're trying to turn it into different formats that will enable people to learn and apply that more effectively. Every word you speak becomes the seed for a whole ecosystem of stuff. A cheat sheet that spreads your message, an article that builds authority, a video that connects emotionally, or a microcourse that earns money for you when you're asleep. It's not just about working harder or producing more, it's about designing a machine that multiplies your impact long after you've left stage. And this is important because we leave stages and we never go back to countries. So we need to make the biggest impact we can in the world. So thanks for tuning into the Profitable Speaking Podcast. If today's episode sparks some new ideas about how AI can help you turn one great talk into a whole ecosystem of AI first created content, take it and run with it. The speakers who win in the next few years are the ones who build systems and not just speeches. And if you want to learn more about how to turn your knowledge into scalable income streams, please grab a copy of my new book, Microcourse Profits, which is all about creating micro learning from Amazon. It'll show you how to build microcourses that sell while you're asleep. I'll catch you in the next episode.