Build an AI SaaS business from zero to paying customers

If you're reading this, you've probably already built something with AI — maybe a GPT wrapper, a fun side project, a demo that impressed people at a meetup. And somewhere in the back of your mind you're wondering: can this actually be a business?

I've been in that exact spot. The gap between "this is technically impressive" and "people are paying me money every month" is the gap almost nobody talks about honestly. It's not a bigger model or a cleaner UI. It's validation discipline, architectural decisions that don't bite you at scale, pricing that doesn't leave money on the table, and distribution that doesn't rely on going viral. That gap is what this school is built to close.

Everything in here is builder-first. I have zero patience for fluff, and I've tried to write the curriculum I wish I'd had — the kind you get from a founder who's been through it, sitting across a table, telling you exactly what they'd do and what they'd skip. The tech stack is opinionated because optionality is the enemy of shipping. The go-to-market section is concrete because "build an audience" is not a strategy. The metrics module exists because you cannot fix what you cannot read.

I want to be direct about what this isn't: it's not a get-rich-quick promise, and I'm not going to invent a revenue number to put on a thumbnail. What I can tell you is that the framework — validate before you build, ship a scoped MVP fast, price for the value you deliver, acquire customers like a founder not a marketer, read your metrics like a CEO — is the same framework that drives real SaaS businesses. It works when you execute it.

If you're willing to make decisions, move fast, and do the unglamorous work of talking to customers and iterating on feedback, this school will give you the clearest possible path from idea to a live AI SaaS product with paying subscribers. That's the deal. Let's build something.