Bryan McAnulty:

Are you actually using AI to grow your business, or are you just playing with ChatGPT? Because there is a big difference between opening ChatGPT every day and using AI to create business value.

Dietmar Fischer:

Many people use AI. Look at what they do with it, and they really don't use it the right way, or the way that they get business value out of it. It's a tool, and one of the biggest problems with tools: if you can do everything with it, people do nothing with it.

Bryan McAnulty:

Today we're interviewing Dietmar Fischer, an economist turned digital marketer turned AI creator. Dietmar runs Argo Berlin, a digital marketing agency, works as a scientist at the University of the Armed Forces in Munich, where his team connects AI with the social sciences, and hosts the Beginner's Guide to AI podcast, helping people understand how to use AI in a practical way.

Dietmar Fischer:

I have this Beginner's Guide to AI podcast. The most important step is: go around and learn to use those tools.

Bryan McAnulty:

So, if you're a creator, coach, or business owner wondering how AI can actually help you grow, this episode is for you. We're going to talk about how to stop randomly experimenting with AI and instead build better workflows to become more successful.

Dietmar Fischer:

You have to decide if you want to become one of the best creators or you go down. You have to up your game.

Bryan McAnulty:

Welcome to The Creator's Adventure, where we interview creators from around the world, hearing their stories about growing a business. Hey everyone, I'm Bryan McAnulty, the founder of Heights Platform. Let's get into it.

Dietmar, welcome to the show.

Dietmar Fischer:

Great, thanks for having me here. It's the other side this time. I'm not the host, I'm the guest. It's a different feeling, I have to say.

Bryan McAnulty:

First question for you today is, what would you say is the biggest thing, either that you did or are doing, that has helped you to achieve the freedom to do what you enjoy?

Dietmar Fischer:

That was quite a philosophical question. I had to really think about it. But I would say the most important thing is what I always did: I followed my feelings, my gut.

In the first job I had, I worked with a friend, a really good friend, and it didn't work out well. We destroyed our friendship. I thought, what should I do? I quit the job, even though it was well paid, and thought, I have to get out of this because the friendship is more important.

I think those are the choices: business choices, friendship choices, everything. If you're true to yourself, in the end it's the right choice, even if it's less money or something. It's really important, I think.

Bryan McAnulty:

Yeah, I completely agree. My whole philosophy is freedom comes first. In the end, why are we doing any of this, right? You should be able to do the things that you enjoy. If you're trying to achieve this freedom for yourself, it's not about necessarily the money or anything. It's about being able to do what you enjoy.

I don't know how I could live with myself if I felt I was lying to people or scamming friends or something like this.

Dietmar Fischer:

Totally. This is so important. If you look back, you have to think, maybe from the perspective of being 80, sitting on your porch in your rocking chair, looking back at your life: was it a good life or not?

I think this is the most important thing, and the freedom comes with it. It's a hard way, I also have to say, because other people, the ones you studied with or your friends, earn more money, and you are the one who made this choice. They might even quit the friendship with you because they think you made a bad choice. In the end, later, they have burnout, and you're still there and still happy. It's a true story.

Bryan McAnulty:

As an entrepreneur, there are two ways things can go as far as a friend's impression of you, right? It's either, wow, they must be so incredibly successful, and they maybe even overestimate and think, oh, you're the founder, or whatever. That means you have millions of dollars instantly.

Or they think, because they see something where they can tell maybe you're not quite at the level you want to be yet, oh wow, he's a failure, or she's a failure.

Dietmar Fischer:

Definitely. This is the outside perspective. With those successful people, you also don't see the inside. You never see the inside. It's a good thing to have such a podcast to talk about all those problems, or how hard it is to reach freedom.

Also, you have to have a certain mindset. I don't say don't follow the regular way of working, like get a good job and work your whole life, but it's getting harder in this world to follow this road. You always have to be open to the other thing.

I think one important thing is you have to learn to open yourself to possibilities, to see possibilities. There's this funny Greek god, Kairos. This is the one with hair in front and bald in the back. He runs around really quickly, and you have to grab the opportunity by grabbing him, when you can, in the front. Once he's gone, you can't grab him anymore.

I think everybody, even the people now employed in a job, has to learn to grab the chances and go down the road that opens to them. Don't be afraid, people.

Bryan McAnulty:

Yeah, I think that's a great point. Now, what I want to get into here is talking about AI. Now is the best opportunity to do that, because as an individual, you can make this impact that was very difficult to make before, where now it's very possible. It really does come down to just your ideas and what you want to try to do.

I would also agree that having a job, that's okay. But for me, being an entrepreneur, everyone says it's risky. To me, it's like having a job is risky.

In your opinion, as we get into AI, what is the difference between using AI and actually getting business value from AI?

Dietmar Fischer:

This is actually really interesting, because many people use AI. I also teach AI classes. There are people who use AI, but then you come and look at what they do with it, and they really don't use it the right way, or the way they could get business value out of it, because they don't know enough about AI.

It's a tool, and one of the biggest problems with tools: if you can do everything with it, it's hard, because people do nothing with it. I once consulted a guy with a 3D printer. He didn't know what to do because he basically could print everything, but he didn't have a business case with this.

It's the same with AI. You have to learn how to use those tools. It's not those big prompting guides anymore. It's just: feed the machine the right things. This is the first thing. Have your ChatGPT, your Gemini, or your Copilot, which you probably already have, and use it so the answers fit you.

Many people just try it and say, okay, that's not helping. Or they just use it like Google. If you have a business, you have business cases. Put all the information in that you need to get a good answer.

I think this is the most important step. This is the AI literacy thing. Learn how those tools work, then you can use them better. Every tool is the same with AI. You can drive a car, but if you want to drive a race, then you have to do much better with it. You have to learn a lot, and this is the same with AI.

Bryan McAnulty:

What would you say is the best way to do that? Just by keeping on using these tools more and more?

Dietmar Fischer:

This is definitely a way. But look around. There are classes, websites, YouTube videos. It's not much you need. There was, in the old times, this thing with prompt engineering. You had to learn all those frameworks. Now it's just the simple things.

Imagine you have a person in front of you, like a freelancer, and you want to brief the freelancer: write me some articles. Then you have to give more information. The person on the other side, if he has a contract, will always write some articles. But are they good? Are they fitting to your audience?

ChatGPT doesn't know. Memory gets better. I just say ChatGPT; it could be every other tool. It's just a generic term for AI now. It knows more about you than before, but still, you have to give it information.

If you want an article or social media post, for which audience should it be? Which style? What's the objective you want to reach? It's those simple questions, and maybe give some information. If it's a social media post, you have a blog post on the same topic, put it in. Or a newsletter post, or you have something from the competition that you like. Basically, give more to the tool.

The other thing that's really important, and this is like using it more: the first big thing was ChatGPT, and there was a reason they called it ChatGPT. It's not a one-try thing. You go into a discussion with the tool. If the answer doesn't fit, go in there, make another prompt, and say, okay, I didn't want to have it like this. I wanted to have it in this direction. Can you change this?

Basically, learn to use those tools. You can book expensive classes, and I can offer some classes as well, but you don't need to. Just go to YouTube. Don't go for the people who offer get-rich-quick classes, but some nice, deep classes that really teach you something.

Bryan McAnulty:

Real quick, Bryan here. You know me as the host for this podcast, but what you might not know is I'm also the founder of Heights Platform. It's an all-in-one platform that over 10,000 creators have used to build their online courses, communities, and digital product businesses. We recently added some awesome updates to Heights AI to help you turn your idea into a viable business. Heights AI can build entire product offers, review your content, and even coach you on how to grow. You can try it for free for 30 days. Links in the description. Now, back to the podcast.

I think one of the cool things about this right now is we're all figuring it out right now as we go. It's an exciting time. There's a lot to learn.

The analogy I like to use is that using AI is like the equivalent of walking up to a random person on the sidewalk and saying, hey, do this thing for me. They have no idea who you are. They have no idea why you're saying that.

If it were at least an employee in your business, they know, okay, I'm employed by this person. I have some kind of general role. There's some kind of general goal I'm supposed to accomplish here. ChatGPT, or any AI, is eager to help you and is eager to do whatever you said in its next few seconds of existence there. But if you don't give it all the details, then it's, I guess this is what you want. Here you go.

Dietmar Fischer:

Then this leads to another thing, that there are errors in it. You have to check them, like hallucinations, those things where AI just wants to help and invents stuff. If you know how it works, you know why it invents stuff. The less information it has, the more it invents.

Give it all the information you have, although not your customer data. You should be really careful, because if the customer doesn't want that, you have a problem, because AI might use the data for other purposes. This is a little bit tricky at the moment, but in general, yeah.

Bryan McAnulty:

I think part of the challenge, even what software companies are trying to solve for users, is how they can do a better job of getting this context to AI so you don't have to sit there and tell your whole life story every day.

Is there any particular tool you've found that does that well, or any particular workflow you have that makes it easy to have a certain starting point? Is that something simple like using custom GPTs? Is it a more complex workflow? Is it some other agentic tool?

Dietmar Fischer:

Actually, the thing you mentioned. I don't know how good the audience's AI level is, but there's this thing you mentioned, custom GPTs. I think one of the most important steps is to go into your tool and see what the tool can offer.

Custom GPTs are basically small agents that do one task repetitively. Then you have projects. They're called different things in every tool, but all tools have them. In projects, you can store information, and you have a chat, and it knows more about what you have there.

Then there are a lot of other tools. Talking about agents, there's this deep research tool where you can say, okay, I have this problem. Please research this problem. The machine goes and searches 200 websites and generates an output you can put in a PDF, a presentation, or whatever.

I think the most important step is to go around and learn to use those tools. There are so many functions now, and they get bigger and bigger. For this start—I have this Beginner's Guide to AI podcast, so this is the question: where do you start? The basic thing is, learn the tools you use.

If you're at another level, you can use other tools. Everybody talks about Claude Cowork, but there is more work involved in this tool. If you're a freelancer, creator, or somebody who doesn't want to spend too much time on this, I don't know if this is the solution for you right now. Things get better, get easier.

Every workflow you construct with an agent, you have to check, double-check. Then there are errors, and you have to see where the problem is. One of the things I used for myself is accounting. There comes a bill via email. How can I put it in my accounting tool so it's booked the right way and my accountant can then use it? But things can go wrong.

If you really want to get more out of it, I would take a different way. This is the vibe coding step, because you have tools like Lovable, Replit. I can't program, I have to say it. I'm an economist, and a long time ago I learned Pascal and those things that don't exist anymore, probably.

Those tools are so easy. You just give a prompt, and it constructs an app, a website, or whatever, just because you give a prompt. You still have to think about it, but you can let it work in the background. You have it open in the morning, and in the evening you have something that can do a simple task.

The agentic ones are good, they're great. You can do lots of things. But if you want to do more than just ChatGPT or Gemini, I would go for the vibe coding apps, because they make things easier. Go for the ones that don't require programming, because with Cursor, you still need to be able to program.

There are great things out there and great things happening. There's so much happening that even the people—I'm not the best in AI, but even the people at the top level don't know everything, and they are surprised by things constantly. This is the world just now. Things develop so fast. People out there, don't be scared. Everybody's overwhelmed just now.

Bryan McAnulty:

Yes, I agree. I work with these things all day long. We made our own vibe coding tool. It's what we use to build our software. We tried to make it friendly so my team uses it whether they're technical or not, because it's more about writing out what you need done, and then AI gives it to you. You don't have to sit there and understand the code.

But even I can think of an example. Literally yesterday, I saw somebody post about something Anthropic's new [model name unclear] model created, and they said, wow, I can't believe it created this in one shot. I was curious, so I tested the same thing on GPT-5.5, and it was the same thing. It also created it in one shot.

Even the people at the top of the field with all of this right now are having trouble distinguishing, where even are we? The thing we've had for a while, actually, it can do the thing we're all now impressed the new thing can do. It's getting to the point where the models are so good in some ways that we're not even understanding their capabilities, I guess.

I agree with you that the average person doesn't have to jump into using all these different agent tools to get value from AI. I would even say, especially when I saw OpenClaw came out and everybody started talking about that, using agents the wrong way is actually worse than just not using them at all.

As you said, if you have to sit there and babysit it, watch it, see if it goes wrong, and then if it does go wrong, sit there to fix it, I'd rather just do the work myself at that point. Even if it was work you didn't enjoy, it's probably more fun to do the work you don't enjoy than to sit there, oh no, it's broken again. Wait. You're just babysitting the thing.

Where you can get value from it, it's great. But you don't necessarily have to dive into some of that stuff, because it can be not the most productive use of your time. You mentioned a great point, also, using tools like deep research and seeing, what does this actually give me versus if I just ask the question to ChatGPT or Claude?

Dietmar Fischer:

There's actually a thing I want to—sorry that I have to jump in on this, because I work a lot with tourism companies, travel agents, and so on. Basically every one of them, 80 or 90%, uses ChatGPT already, but they use the free version. Of all those tools, they use the free version.

This is how it is. If you're out there using a free version, it's nice. But you know what nice is? Nice is the worst thing I can say about you. You should invest the $20 or $25, or what it is. You should invest it because you get more value out of it: more functions, more depth, better models. Definitely, the first step to use AI productively is not to use the free version, but the paid one.

Bryan McAnulty:

Yeah, that's great advice. What would you say about—because I agree with you, how you see this tool that can seemingly do almost everything, and it's like, I don't know where to start now. What do you say about that?

I think one of the challenges is things have changed a lot in the last couple years. Even the model companies, ChatGPT, Claude, and all that, have trouble communicating to consumers. A couple years ago, and also if you're using the free version versus the paid version, none of this is clear to the user. You can't actually figure these things out by just looking at the software.

Before, it used to be, you can't send too much because either it can't fit it in the conversation, it's going to forget, or maybe it's just not going to work right because it can't pay attention to you saying all these things. Now there's a different amount you can send. It's more, but depending on free or paid or API use or whatever, that may be much more or a little bit more.

At the same time, when you just look at it and say hi to the old one and the new one, they're both going to say hi back, right? But the old one, you could give it, I don't know, a page of text or something, and maybe it'd help you out. The newest models, I find you can give them a 20-page document and say, go to work, and they will actually be able to get you results.

Dietmar Fischer:

Yeah, this is the great thing. The tools get much better, and they get the whole context. There's this term, context engineering, not prompt engineering anymore. Give it the most context you can, because the model will go through it.

It's actually not so easy. If you make a custom GPT, those small agents that constantly use one prompt, you can give—how many is it? Four? Twenty documents? I don't know. In projects, you can give 25. There are tools like NotebookLM from Google where you can give many more sources and ask all the sources. You can get down to, I don't know how many sources in one chat, and the answers will be connected to all of them.

Some models come out with those context windows, like you mentioned: the more I can give in, they get longer and longer. The more information I can give in, the better the answers might be. But you still have to be careful. The more information you give, it still has to be relevant to the question, because the model will hallucinate if it's too much.

It's like with a person. If you give a person 20 books and say, okay, this is the question, do something, it might be good. But the 20 books have to be really relevant to the topic.

The new functions, the new models have more possibilities. There's another difference, like these thinking models, reasoning models. Now they really go through a process and give better results.

I talk a lot about those things, so nobody should get afraid, because it's basically just: use it and try it. Like you said, Bryan, it's the best. Use it more. Use it regularly. Don't forget to use it, and have it always open so you can use it. Using it trains you a lot.

Bryan McAnulty:

Yeah, I've definitely found that as well. Just constantly trying things and seeing what you get from them is the best way to understand. For a solo creator or a small business owner, what would a simple but effective AI workflow look like?

Dietmar Fischer:

The first thing is, as a solo creator, freelancer, whatever, the biggest problem is you have few things that are really routine. I talked about accounting or something. There are things you can maybe do there. But the problem is, basically you face a new challenge every time.

There are certain things that constantly reappear. That would be, you create something. Can AI make something else out of it? You have a blog post or a post, whatever, and then you put all the text in and say, okay, generate an Instagram post, an infographic out of this. Make a presentation out of it.

This transforming of things is one of the things creators really need, because in the end, you need to get out there in front of people. If you create and sit at home, you're like a great poet sitting there and nobody reads your work.

You have to get out. You have something because you already create. How can you create more out of what you have? AI can help you there. This is, I think, the most important thing. Then you can feed Instagram, all the social media, and most importantly make text for your newsletter. You create something; can you make a newsletter text out of it so you don't have to work too much on it?

Other things I find really important are strategic questions. If you sit at home alone—I have the luck that I founded my agency with a good friend of mine, so we always discuss a lot about where we want to go. It took me more than 10 years, 15 years, I think, to find someone I could connect with and exchange those questions.

Before, I was totally alone. There was no AI, so I couldn't ask my questions to someone. To the wife, and she was like—never ask friends and family. Either they say totally great things, yeah, do it, or they say it will never work.

You have to have a group of like-minded people, and it's not always that you find them. The easiest thing is ask, but not in a simple way. Fill ChatGPT with a lot of information about your business, about what you're creating, and then ask some strategic questions.

Simple, like I said, should you create something for Instagram? You can ask ChatGPT and company, should I go to Instagram with my stuff? Does it make sense? Is the audience there? Where do I find my audience? What do I have to change to get found? All those things. See AI really as a strategic partner that asks you things, that you ask things of.

Bryan McAnulty:

I like that. I like the idea that it's very powerful for transforming your content. You're not going to it and saying, hey, make the content for me. You're taking something you spent time and effort on and saying, can you now help me transform this into another thing? It's still your content that you're then adjusting.

Dietmar Fischer:

Yeah. I would say, if you're sitting there in front of something and you hate to do it, start using AI for it. It doesn't mean it works, but what you did in the end, you learned something about AI.

You come back from a conference, and you have 50 business cards. It's an example from Chris Penn. I have to mention him because he's great at AI topics. He just says, okay, put all the business cards on the ground, take a photo, and put it into Gemini. Tell Gemini to get the data out of something like this.

If you ever get stuck, if you ever sit in front of a job you don't want to do, just ask ChatGPT first, or Gemini, and see if it helps. If not, you learn something.

Bryan McAnulty:

That's a great point. I like thinking of, what are the things I find I have to do repetitively that don't seem like the best use of my time? Or what are the things I wish I could do, but there's just no way I would have time to do those things? What's exciting is now a lot of those things, you can just have AI doing them for you.

Dietmar Fischer:

Yeah. This is the thing we started with, talking about people being employed and people being outside, being creative. For the people who are employed, it might be a threat, and for some creators as well, but you can do so much more.

Look for the problematic parts of your job and use AI to do the ones where you can amplify what you're good at. You can create at scale, or you can get better at creating, or you can reach more people. The human is still important. See what your strengths are.

If your strength—it's not a creator, but the travel agent who says, yeah, I write some emails, I put some posts online, and I have some telephone calls, and that's it. At a certain point, you think, if AI can take over all you do, then you might have to think, what's your real value?

For everybody out there, think, what's your real value? Why do people buy art, read your articles? If AI can reproduce this, then you probably have to up your game.

Bryan McAnulty:

What I've been telling course creators is that the thing people were buying from you all along was your unique experience and your unique message. AI is not going to replace that. Somebody can go and ask AI, hey, can you teach me about this thing? But it's not going to be the same as what they would get from you.

Where I'm really optimistic about this is, when people worry about this, they start to think, okay, if I was doing these things before and now AI can do these things, that's not where we're going to stop.

What changes now is the things we're actually going to deliver, the products or services, are going to get so much better. We're going to have to do so much more, because all of what we did before, now that part's easy.

Where it gets exciting is we now get to deliver a product or service to somebody at a scale that we thought, there's no way I could do this for them. But now people have to think bigger and realize, what if you could deliver the perfect product to somebody that's just going to do everything for them? Maybe now you can.

Dietmar Fischer:

Yeah, but what you said is totally the thing. What do people really buy from you? If it's just learning some simple thing, like typical cheap courses on Udemy, they're made by AI. That's great, but they're also only worth $10.

Bryan McAnulty:

Exactly.

Dietmar Fischer:

Nobody pays more for them.

Bryan McAnulty:

That's the thing that, in my opinion, is going away: the cheap $10 things you could probably have found on YouTube anyway. What's going to remain is the more premium transformations that can be delivered, and being able to bring people into a community and discuss live with real people. That's the stuff that's going to stay and be valued, maybe even more valued.

Dietmar Fischer:

Definitely, the human connection. Why do so many people go into the Louvre and take a photo with their smartphone of the Mona Lisa? You can Google it, and you get a better picture. But it's not the same. You weren't there. You didn't stand in front of it. You can't even touch it. It's just because you're there. This is a unique moment.

How can you create unique moments for people? Then again, if it's always the same people, try to do what you said: build a community. Reach people. Reach the same people again and again. Build connections.

It's great that we can talk here using Riverside over thousands of kilometers. This is a great feature, but in the end, you also want to really meet people at a certain point. Build communities. That's a great thing.

Bryan McAnulty:

I love that. What would you say is a common mistake you see people making when they try to use AI for marketing?

Dietmar Fischer:

It comes back to not being able to use the tool. They do simple things. They don't prompt enough. They output slop, AI slop, really bad things.

If you're on LinkedIn just now, you see more and more people. LinkedIn is not as bad. I would say Instagram is worse, where you get lots of AI-generated stuff, and you can't connect to it. Or music videos. There's so much coming out now.

It can be good. It can connect to people, but again, it comes back to your audience, your community. It could be AI if it helps people. Scale yourself if it helps you produce more of the things your community needs. That's good.

But most people don't care too much. They just have a bot that comments on posts on LinkedIn, just like, great post, and whatever. That ruins your whole credibility in the end. Don't put out too much AI stuff without thinking about it. Think about it. You can put out AI stuff, but put out good AI stuff.

Bryan McAnulty:

I agree. What do you think creators should be doing now if they want to make sure they're discoverable, if people start searching through these AI tools rather than using something like Google?

Dietmar Fischer:

It's hard times, I have to say. If I were a travel blogger, blogging tips and tricks, like travel tips and tricks, AI sucks up everything like this. It's hard to be a small travel blogger and still make money with sponsoring, because nobody comes to your website anymore.

Google changes now to AI Overviews, and people find you in ChatGPT, and you have to be in there. Try basically the same things you did for good SEO before. Have a website that's informative, that helps people, that has deep content, connected content.

Google did use AI before for generating search results. The things still work. It's hard if you're a creator who's basically on the same level as news or something. Everything that can be copied by AI gets sucked in and reproduced. If your only thing is audience, like sponsoring, then people won't come to your website.

But if you have a product, they still have to come to your website. Think about what you can say about, if it's a course you create, what can you say about the course? You don't put the whole course online, because then the information is again in AI.

The rules didn't change so much. There are certain things we have to care for, but the machine has to read your website, and the machine has to send people to you because what they really want is on your website.

Is it hard times for getting found? Yes, I would say so. Again, try to go for human connection. Try to get out of the AI business with marketing. Go for a newsletter where you control your people. Have a small community where people can chat online, and those things.

If you're a course creator, this is a great example, because I also made a lot of courses, which I actually put on Udemy. It was not a good business model.

But if you have a course class where people have one topic, they learn about you, they know you—you don't know them, but they know you—and if you make an ask-me-anything once a week, they will come. Then you can connect to them, and whatever it is, they won't ask ChatGPT anymore. They'll ask you directly.

You have to feed the machines, but the machines, in the end, are all the same. They will put ads on your content. They don't treat you well. Don't just try to be found there. You have to do it, but also try to build something outside the machines.

Bryan McAnulty:

Great advice. I think you don't know it, but you're making a case for an ad for Heights Platform right now and what we do. I tell creators you should start to focus on how you can build something under your own brand and build this community on your own.

We have this feature called public community posts, where a free portion of your community can have landing pages generated for it that could show up in Google and ChatGPT, hopefully. If somebody discovers, hey, here are real people talking about that thing, then they can join, and now they're part of your brand.

It's not Instagram or somewhere else where you don't actually own the audience. It's something where it may take time, but you're growing a real brand and a real business.

Dietmar Fischer:

This is really a best-case thing. One thing is important: time. As a creator, creating something, you have to be patient. This is really hard. Podcasting is one of the hardest things. Getting an audience with a podcast is probably the hardest. But as a creator, you have to keep on doing it.

I once learned Spanish. I had a Spanish podcast, and the guy said, record 23 episodes for your podcast, then start publishing them. He said, if you've already made 23, you have enough content. You won't stop.

This is a hard business, but be patient. At a certain point—there's the Content Marketing Institute, I think, they have, after 18 months, every creator gets some money from it. Or after six months, they get some money; after 18, they can, on average, live from creating. My advice: stay with what you do.

Bryan McAnulty:

I agree. I want to get into a quick lightning round. I'm looking for a quick take, like a 10-second answer, on these next few. If a creator is listening today and wants to stop playing with ChatGPT and start using it seriously, what should they do this week?

Dietmar Fischer:

Try as much as possible. Get the paid version, and every problem, everything you have in your mind, put it in. Ask it questions and learn how the machine works.

Bryan McAnulty:

What is the biggest myth you see people believing about AI?

Dietmar Fischer:

Right now, I have in my podcast the Terminator or Matrix question at the end: will the machines take over? The biggest myth is they will take over. They won't, I think, for a long time, be able to replace us.

Bryan McAnulty:

Do you think AI will make average creators better, or just make the best creators faster?

Dietmar Fischer:

The average, it's to be decided. You have to decide if you want to become one of the best creators or you will go down. You have to up your game.

Bryan McAnulty:

What's one thing creators are not using AI for enough?

Dietmar Fischer:

Strategy, I think. Thinking about your audience, thinking what you really should produce. It's this author writing a book and then trying to sell it, not publishing every chapter or asking AI about every chapter, but putting out a ready-made, created product and then thinking people will come. They don't come.

Bryan McAnulty:

Yeah. AI can do work for you, but it can't understand for you. You still have to learn how to understand. The cool thing is that now we get to just talk to AI and have it assist us in being able to understand faster.

Dietmar Fischer:

Yeah, definitely. AI doesn't have emotions. It doesn't create things. It just has a big 60- or 90,000-sided die and throws it. You are in the loop, and you have to be in the loop. You are the one who decides.

You can generate a hundred versions of a post, of a picture, and then select the one you think is the good one. But this is still you in the loop, making the decision.

Bryan McAnulty:

I agree. On the show, I like to have every guest ask a question to the audience. If you could ask our audience anything, whether something you're curious about or just want to get people thinking about, what would that be?

Dietmar Fischer:

It's a simple question. Do you use AI enough, and does it bring you value, in the sense of, do you think it kills what you do, or does it add? Then think about, if it kills what you do, what do you have to change strategically in your business?

Think about, can AI help you with your strategy, or is it counterproductive? This leads away from AI: where is your focus? Is your focus right?

Bryan McAnulty:

I like that. Dietmar, this was a great interview. Before we get going, where else can people find you online?

Dietmar Fischer:

The most important thing is the podcast website. It's beginnersguideto.ai, where you can see where the podcast is online. You can also put Beginner's Guide to AI into every podcast platform. It's also on YouTube. Listen to me.

If you want to do some marketing, argoberlin.com is the website for the agency. On LinkedIn, I'm Dietmar Fischer. It's a German name, so just Google, and it will give you something. Try it.

Bryan, it was a great interview. Thank you for having me here.

Bryan McAnulty:

Thanks so much. I'd like to take a moment to invite you to join our free community of over 5,000 creators at creatorclimb.com. If you enjoyed this episode and want to hear more, check out the Heights Platform YouTube channel every Tuesday at 9:00 a.m. U.S. Central. To get notified when new episodes release, join our newsletter at thecreatorsadventure.com. Until then, keep learning, and I'll see you in the next episode.