
3 Mistakes I Made Starting My AI Solopreneur Business (What I'd Do Differently)
I spent three years building a course. 56 lessons. Five modules. I poured everything into it.
When I launched it, I sold about a dozen copies.
Today I want to tell you exactly what I got wrong — and what I'd do completely differently if I were starting my AI solopreneur journey right now.
Not the things you see in "how I make $10K/month with AI" videos. The real list. Including the things nobody talks about because they're not fun to admit.
The 3 Mistakes Most Solopreneurs Make First
Mistake 1: Build first, validate never
The most common — and most expensive — mistake: start building a product immediately. Imagine how people will buy it. Get excited about the vision. Spend weeks or months creating something without testing whether anyone actually wants it.
The cost of this mistake isn't money. It's time. And I know exactly what that feels like from the inside.
Mistake 2: Overspend on tools and courses before earning anything
Buy a good camera. Sign up for multiple courses to learn everything you think you'll need. Optimize your setup before you've made a single dollar.
This isn't entirely wrong — but the sequence matters. You don't need a perfect studio. You need your first piece of content out and a real human's reaction to it.
Mistake 3: Wrong platform at the wrong time
Post about your product in online communities — Reddit, Facebook groups — on new accounts. Get banned immediately because the platform reads it as spam.
Reddit is particularly brutal about this. They're algorithm-smart and will ban a new account that posts promotional content before it's established trust.
Of these three, mistake number one has the highest cost by far. Building something nobody wanted.
My Real Story: 3 Years Building Something Nobody Bought
In 2007, I became a World Memory Championships master. I applied memory techniques in my own work and studies — my learning speed increased, my efficiency went up. I wanted to help other people access that.
So I spent three years building a course. This was while I was doing management consulting full-time. Three years of working in the gaps.
The course had 56 lessons: one foundational memory module, then four specialized tracks — for students, for professionals, for middle-aged and older adults, for people who wanted to compete in memory championships.
I targeted every possible demographic. I thought if I covered everyone, I'd have a bigger market.
I launched. And I sold about a dozen copies.
The core gap: I hadn't realized that by the time I launched, smartphones, apps, and AI tools had already made people much less dependent on their own memory. Working professionals in particular — why would they pay to train their memory when their phone can remember everything for them?
The problem I was solving wasn't a problem people felt they had anymore. The market I assumed existed had already been disrupted — by the very type of technology I was now going to use to build businesses.
Three years. And what the market told me was: this is the wrong problem, at the wrong time, for the wrong people.
I don't regret that experience. Not even a little.
I failed at the marketing. I failed at the business validation. But the experience of building it was real. That had value.
The mistake wasn't building something I cared about. The mistake was building it for "everyone" without checking whether anyone specifically actually needed it right now.
That distinction changed how I think about everything I build.
What Most AI Business Content Gets Wrong
Most YouTube content about building an AI business shows you the success stories. The people making $10K months. The systems that scaled.
That's motivating. But it's survivorship bias.
When you watch those videos and then try to follow the same steps and it doesn't work — that discouragement is real. The path that worked for someone else doesn't automatically work for you.
Here's the counter-intuitive thing I've come to believe after doing this for a year:
AI is the car. You still have to hold the wheel and know where you're going.
More AI tools give you more options, more speed, more horsepower. But they don't tell you which direction to drive.
The most important thing — and it has nothing to do with AI — is how you make decisions. What's your vision? Who are you actually building for? What does success look like for your specific life, your specific body, your specific energy?
When I stopped trying to run 6-hour live sessions — because my throat literally couldn't handle it — and shifted to a model built around tools, consulting, and recorded content, everything got lighter. Not because I got better AI tools. Because I stopped forcing myself into a format that didn't fit me.
The model that works for someone with unlimited energy and a perfect voice isn't the right model for someone with chronic throat issues and a 2-4 hour daily work window.
Find your own shape first.
What I'd Actually Do If I Started Today
There's no single Week 1 plan that fits everyone, because people start businesses from very different places. Some start from passion, some from identified market demand, some because something else isn't working.
What's universal isn't a specific action plan. It's a principle: build something that you yourself would actually use.
My resume customization tool: I built it because I was applying for jobs myself and the repetitive work was killing me. I still use it. I know exactly what's wrong with it and what's good about it. I have a real user's perspective.
If you're building something that even you don't want to use — who else would buy it?
Build for yourself first. Then share it with a small group. Be willing to share — that's how real validation happens.
The other thing I'd do differently: understand my own working rhythm before building my business model.
Ask yourself: How many focused hours can I realistically work each day? When am I most creative? What format can I deliver in for years — not just months?
Build a business that fits your life. Not the other way around.
Who This Path Is NOT Right For
I also want to say something most people in this space won't say: this path is genuinely not right for everyone.
If you need consistent monthly cash flow right now — if you have significant financial obligations that require immediate income — building a solopreneur business is very hard to sustain in the early phase. Having a stable job while you build is much safer, at least until you have real signal.
And if your primary goal is to minimize career risk, working inside an organization is genuinely a better bet for now.
I'm not saying don't do it. I'm saying be honest with yourself about your actual constraints before you start. Trying to survive financially while building from scratch adds a layer of pressure that makes everything harder.
Clarity about your real starting conditions is not an obstacle. It's the most useful thing you can have.
Three Things to Take From This
One: the most expensive mistake is building something nobody wanted. Check for real demand — not assumed demand — before you invest weeks of time.
Two: AI is powerful, but it doesn't replace direction. Know what you're building, who it's for, and what format actually fits your life.
Three: build something you yourself would actually use. That's not just validation advice. It's the first real signal that you're solving a real problem.
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