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EP 26·17 min

Harnessing Artificial Intelligence to Supercharge Your Entrepreneurial Journey with Jonathan Green

with Jonathan Green

About This Episode

Today we're joined by Jonathan Green, Artificial Intelligence Consultant at ServeNoMaster, discusses the practical applications of artificial intelligence (AI) in modern business and life. He shares his journey of getting fired from his dream job and starting an online business. Jonathan emphasizes the importance of taking control of one's life and not relying on a single point of failure. He also talks about the benefits of living as a digital nomad on a tropical island and the opportunities...

Episode Transcript
Josh St. Laurent: Welcome to the Wealth in Yourself Podcast, a show dedicated to helping you master the complex subject of money by simplifying it through stories and actionable advice. I'm Josh St. Laurent and this is Wealth in Yourself. Josh St. Laurent: Welcome to the Wealth in Yourself Podcast where we help people to design their ideal life and take control of their time and money. I'm your host Josh St. Laurent. Today we are joined by Jonathan Green. Jonathan was fired from his dream job in a blizzard in 2010 and now lives in the tropics with his wife and four kids. He's the best-selling author of chat GPT profits and an expert on practical applications of artificial intelligence in modern business and life. Jonathan is an expert at using artificial intelligence tools to accelerate your online business. He's been running an online business full time since February of 2010 and is an expert in using chat GPT mid-journey, cloud and Leonardo to grow online businesses. Josh St. Laurent: He helps new entrepreneurs to leverage AI to generate real revenue quickly and start replacing their existing 9-5 revenue. His two successful AI training programs, AI Freedom for Entrepreneurs and Fractional AIO for Businesses. Jonathan, welcome. Glad you're here. Jonathan Green: Oh, thank you for having me. I'm excited to be here. I've been looking forward to this. Josh St. Laurent: Can you tell us about how did this come to be? I touched upon it in the bio. You got fired in a blizzard. It was your dream job and fast forward to today. You're working in the AI space. What was that journey? How did we get here? Jonathan Green: Be careful what you wish for when you say something's your dream job that it comes true and you find out why the job was available. It didn't work out. The job they fired me was a debt fit in and within six months I was making more than my boss. Jonathan Green: I realized that they set me free. Leaving that driving home, I was like, I don't want someone to have this much power over me. I don't want someone to be able to fire me or change my life. I didn't have kids yet. I wasn't married yet. But I don't want to be a situation where someone can take away my ability to pay for my kids to go to the doctor or to get a haircut or food. Jonathan Green: And I don't say you have to quit your job. You can just say, I'm going to build up a backup revenue stream that generates maybe five or 10% of my main income. So that way, if I lose my job, I can get the go and accelerate that. It's so much easier to turn a one into a 10 than a zero into a one. So even if you just have something small on the side, whether it's a blog or a TikTok channel, then you can build it out when you need to and turn into revenue stream if you need to. Jonathan Green: So that is where my journey began. And then a lot of things happen along the way. A lot of wins and losses has happened to everyone. Josh St. Laurent: Wow. So I want to bring it back to AI. Maybe starting really broad and then narrow down to maybe even some individual prompting. But it seems to me like every day a new company kind of rolls out its own AI tool, right? We've been seeing that the last at least a year or plus. So what in your mind are some of the non-negotiable AI tools that business owners have to be using at this point in 2024 to not be falling behind? Jonathan Green: You need a text AI tool and an image AI tool. Everything else is derivative. If you're in a particular niche, maybe you need like I use an AI video editor because I edit my podcast. If you're not doing video content, then you don't need one. Jonathan Green: So for a text, the standard, the most popular one is chat GBT. The plot is just as good or plexi as similar. There's a bunch of tools that do that. That's really all you need. You just need one of those and become really good at that. Jonathan Green: I'm really at 99% of my work is in chat GBT. I'm a chat GBT expert. That's where I do all my prompting. I only go to other tools when chat GBT is not the best tool for that job. Jonathan Green: But most people, that's all you need. Then you need an image generator. The most popular one, of course, is mid-journey, which is the main one I use. There's also Leonardo. There's also different versions of stable diffusion. Jonathan Green: The only time you need a different tool is if you're in a very specific industry like espionage. If you work at an embassy, don't use chat GBT because it's not secure. Jonathan Green: Some MVCs got caught using Google Translate, which is also not secure. You're doing top secret documents. Or if you're in medical, you have HIPAA. Any industry where privacy is, there's laws about privacy. Then you have to use an industry specific tool that follows those compliance and compliance issue. Same thing for lawyers. You don't want to accidentally leak all of your client secret stuff into chat GBT because you're doing some compiling. That's the only time you need something specialized. I don't think you need a ton of tools. I think that's a mistake a lot of people are making. It's better to just keep your flow really simple and just get really good at the few tools you need. Josh St. Laurent: I can't help but think as powerful as AI is, it's not a silver bullet. Can you say or talk about what should we not be using AI for? Jonathan Green: I know you just touched upon it a little bit. Most people are anti-AI. It's because of other people using the tool bad. I always say don't judge a tool by its worst use case. Here's what most people are doing. They are going to chat GBT and say, write a blog post about this or write a LinkedIn post about that or write a tweet for this, copying and pasting and posting without reading it. What this does is flood all of our feeds with trash content. How dare I ask you to read something? The not only did I not read, I didn't even write it. I didn't write it or read it. It's not good enough for me to read but it's good enough for you to read. That is what the problem is. When people say I'm replacing myself with AI, what they mean is I'm going to let AI do things unsupervised and that always means something bad will slip through. Jonathan Green: Same thing happens if you have an employee that figures out you're not checking their work immediately goes right off a cliff. So AI does the same thing. Something bad will slip through. That's where you start to run into flaws and people who aren't paying attention don't know that there are certain phrases that chat GBT uses all the time and certain words it uses all the time. Jonathan Green: I don't reveal all of them but one of them is landscape. It always says like in the coming digital landscape. It's like nobody says that. Nobody says landscape but also says pondering. I've never pondered anything. I've never said pondering but it's an AI word. So words like that there are other phrases that give it away. So I can always tell when someone puts something out that they didn't double check and there's a huge dip in quality. Jonathan Green: Now you can use an AI cooperally and create amazing content because I teach how to write really good blog posts with AI but it's a 13 step process and then you still have to read it. Jonathan Green: You should always read something that has your name on it. You should read every contract you sign. The next mistake people make is going I have superpowers I can do anything now and they start adding in all these new tasks to their work week. They go, oh, now that I can edit faster, I'm going to start doing podcasts. I'm going to start writing emails more. I'm going to start adding all these other add-ons to my business or to my skill set. This is a wrong approach. What you're doing is adding in skills that you can't error correct which means you'll actually add in a bunch of stuff outside your circle of excellence or zone of excellence or skill set or your ability to go something's wrong here. Anytime you go outside your area of expertise, you're in a dangerous territory. That's where mistakes start to happen. Jonathan Green: Instead the correct answer is to say, here's everything I do every week. I'm going to do each of those tasks faster. If you do this correctly and you follow my process or anyone else's process to teach us AI well, you could do five days of work in three days. That's the promise of AI and that's what studies have shown increases efficiency 40% and quality 19% one done correctly. That's what you should be chasing. Then you can say, okay, now I've got two days, how should I deploy these effectively? Do it in that order rather than adding much tasks and then trying to compress. You don't want to grow and then shrink. You want to shrink and then grow. It's the opposite of weightlifting. The next area where this is a big opportunity and the third mistake people make is they focus on what AI can create rather than the promise that I can solve. Josh St. Laurent: I can hear the entrepreneurs listening, wondering, what are some of these tools that's dropped the email that help edit the videos? How do I use AI to be more efficient in my business? Can you talk about that and some of the things that people should be doing? Jonathan Green: For news, I use a tool called Feedly. What's cool about Feedly is that you can turn any website into an RSS feed. RSS just means it's like an update notification. If someone has a website that doesn't do that, it's not a blog format. It's a different format. It will just track it every time something changes. It will send a message. It will just watch that website for me. That's really cool. It has an AI that I can say I like the story. I don't like that story. There are a lot of AI stories about investment. I don't care about their seed rounds and their capital raising. Jonathan Green: That stuff's not useful for me. I kept saying not this, not this, and now it doesn't show me those stories. Very helpful to me. The next tool that I use is called Spark. Spark is just an email. I use the free version of it and it just has a really good sorting process where it tries really hard to guess the emails that are useful to me. That's been a game changer for me. There's other versions of it. I have a lot of email addresses, so I use that because I can handle a bunch of email addresses. If you have one email address, people love superhuman. It says the same thing. The next tool that I use to edit all my videos is Descript. Descript used to be a transcription software and they kept adding features and I would always be upset. I'm like, can you just do one thing and do it well? Jonathan Green: Descripts quietly became the best video editor on the market. It's you and you edit by text. So anytime I say a word I don't like, I can just delete it even in video and it looks great. I can replace the video. It looks great. I can add music and do all the other things that I want to do. It's the best thing for turning a clip and do it short. It also has the best audio correction tool on the market, which I was shocked by because I did a huge comparison test of every AI audio correction. It has the best green screen removal. And I was like, what are you secretly doing in the background to script? You went from this small tool that I was a beta tester. So I've been using it from day one and it's so powerful. I can't recommend that tool enough. Jonathan Green: They updated once or twice a week with a new feature. They're buying a bunch of other companies. So they must be killing it because they're doing acquisitions or in that phase. So I love that tool. It's a big part of my workflow. And then as far as other tools that I haven't mentioned yet, I use a tool called perplexity to do my research perplexity as an AI that when you do research, it always gives you the references and it thinks that way. So you don't have to say, give me the references. It just always does and it's really good at finding absolutely current stuff. So we'll find an article that was published today. It's like what Google used to be if you imagine Google without any ads. You can remember those days from like 20 years ago. It's really good for that. Another tool that I like. Jonathan Green: I really like art flow. Art flow is the best tool if you want to create images that look like you. You upload 20 pictures of yourself and it can do really cool things. So all my thumbnails come from that for my YouTube video. So if you're doing, you need something like that where it's part of your branding. But those are all the tools that I pay subscriptions for that I put money into. Josh St. Laurent: Well, let's talk quickly about prompting because I know that is the foundation of chat CBT and just most AI tools in general. And you mentioned it can go sideways pretty quickly if you don't know what you're doing. And if you leave it on supervised, how should people be prompting? What are you teaching people to do specifically for business owners? What can they be doing? Jonathan Green: You need to learn two prompts and this is it. Jonathan Green: I'm going to teach you the two prompts you need to know and you never need to learn another prompt. Here's prompt number one. This is the master prompt. This is my goal. When information do you need for me? It's a statement and a question mark. There's a lot of science that goes into the back of this like a lot of science and a lot of psychology. It modifies the way chat GBP behaves and modifies the way all AI's behave. It triggers an alternative mode, which is genius mode. I mean, I don't have to be smart anymore. As soon as you give the AI permission to ask you questions, everything changes. You can be dumb again, which is nice. It removes all the pressure from you to write the perfect prompt. So anyone is teaching these really complicated prompt formulas. Either doesn't know what I'm teaching or doesn't know this method or they're trying to make themselves more valuable because oh my gosh, what he's doing is so complicated. Jonathan Green: I just have to hire him. I just thought the way I do things. I don't need to do that. This method is simple example is I want to figure out who my ideal customer is. What if ration do you need for me? And you will have an enlightening conversation and you'll end up with the best description of your ideal customer you've ever seen. I want to write an email to my boss saying, I don't, I can't work because it's Christmas. I'm going out of big town. What if ration do you need for me? What you're doing is cooperating and you don't have to come up with the data because normally we go. And then you have to go to the data you have, turn this into an email and you might forget something. And chat to you. He's not allowed to tell you that you forgot something unless you start with my master prompt. Jonathan Green: There's a new variation, which is very popular that people are teaching right now, which is chain of thought. Chain of thought has been around for six months, but a lot of people are, there's a paper came out about everyone's like, oh, it makes every AI smarter. The way everyone teaches, chain of thought is wrong. Every single video on YouTube about it is wrong. Then the version of one teaches is you have to write down the chain of thought and submit a huge prompt that has all the steps in the chain. When you do that, if you make a mistake, the chain will collapse. If you forget a step, if you forget to tell the AI to the length of the article or to do keyword research, whatever step you forget, that means your entire process collapses. I don't like any process where I have to be smart all the time. Jonathan Green: I forget my own processes all the time. I often when I'm teaching something again, go and watch my old video the first time I did it because I just can't remember everything. Especially because it's like a bunch of micro steps. I don't want to miss a single little step. The second prompt, the correct way to do chain of thought is called master train of thought. Master chain of thought is this prompt. I want to figure out who my customer avatar is. Do not start doing the task yet. So it sentences one and sentences two. Please design all of the steps that I need to do in order to figure out who my ideal customer is. So there's three parts to it. So it's from two sentences to three. This is the hardest one. Here's what the first one is goal and what do you need for me? Jonathan Green: The second one is goal. Don't start yet. And what steps should there be in the process? All we're doing now is getting the AI to answer its own questions from the first prompt. So you can turn the master prompt into a chain of thought by saying the first thing it will say is like, who's the target audience for your blog post? And you go, well, who do you think it should be? Just ask the question back and then the AI will answer it because it has to. And it's now a chain of thought prompt because it's doing a bunch of steps in order. This does make the AI much, much smarter. My version is much easier because I was looking at it and going, oh my gosh, I have to write down all the steps and create a thing. I don't want to do that. Jonathan Green: That's hard. That's part of the way I approach. I make the promise of AI is that it's supposed to be easier. So those are the only two prompts you need to know. It will accomplish any task. People pay me to design very, very expensive prompts. And when I'm writing a prompt for someone else, it starts off by me talking to the AI. My client wants me to write a prompt that does this. That's how I write them all. So I use the master prompt to create the customized prompt to create a character prompt or to create a GPT or to create any of those other really cool prompts they start off with. This is my goal. What information do I need for me? And the difference between the two is also if I have a bunch of expertise in the field or not. If it's something I don't know a lot about, then I'll use the second version because they are no more than me. Jonathan Green: But if it's something I know a lot about that I can answer all the questions, then I'll use the first version. Those are the only two prompts you need. That's it. I love that, especially for its simplicity. What else? What else should be thinking about with AI? What's next for AI? What have we not talked about that we should be? The most important thing is to only focus on tools that are useful for your business. Don't get distracted by news. Don't get distracted by hype. All you want to look at is is this a tool that can help me to do my job faster or to make more money? If the answer is yes, then do it. If the answer is no, forget about it. The genius out of the bottle is inevitable. We're not going to go back to a pre-chat GBT world. We're not going to go back to a pre-navster world where people only listen to music on vinyl records. Jonathan Green: It's never going to happen. Online music is never going to go away. Right. I love the point about not chasing shiny objects. You mentioned earlier in the show about, hey, this seems cool. Let me spend a whole bunch of time on this. I know I've fallen into that trap myself. But if it's not making money, if it's not making you more efficient, why are you using it? So I love that. Where should people be connecting with you? If someone's listening and they're like, man, where do I go? Track down Jonathan. Where's the best place to look for you? The best place to go is servedomaster.com for a slash gift. Everyone who's been listening to me or watching the video, I appreciate you spending time with me. It's been a lot of time. Your time is so valuable. You can get a free copy of my best seller, ChatTV Profits. Jonathan Green: It's the instruction manual that I wish it came with. All the prompts in it are prompts that made me money. When you finish reading the book, you'll know everything you need to know. You never need to read another book about it. Another instruction manual. It's that core understanding of the logic and the way AI thinks. It's not a linear book. You can jump to the chapter that has the skill you want to learn. I want to learn this recipe. Jump to that. It's fine. That's the best place to find me. If you Google servedomaster, every single search result is me. Awesome. I will drop that in the show notes. Make it easy on everybody. Thank you for being here. I appreciate you taking the time. I know I learned a lot. This has been fun. Thank you for having me. Definitely. This has been the Wealth in Yourself podcast where we help people to design their ideal life and take control of their time and money. Josh St. Laurent: Our guest today was Jonathan Green. Thanks for listening and we'll see you next time. The Wealth in Yourself podcast is hosted by me, Josh St. Loren, an edited and produced by Ray Haycraft. To learn more about how to make your money work for you, visit us at www.wealthinyourself.com and connect with us on all social media at Wealth in Yourself. This podcast is educational in nature and is not meant to be investment advice. Please do not construe anything said to be advice and the opinions of the guests may or may not represent the opinions of Wealth in Yourself. This podcast and the information presented are separate from my employment at Golden Gate University. Still, they are part of my mission to make no cost financial knowledge more accessible. If you like the show, please take a moment to leave us a review. We read all of your feedback and we want to make sure we cover the topics that matter most. Josh St. Laurent: If you have a specific subject you'd like us to explore or a guest you'd love to hear interviewed, don't hesitate to shoot us a direct message. And as always, thanks for listening.

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