How to build a $1M+ startup using AI (Full Tutorial)

Greg Isenberg has been building at the intersection of community and product for years, and his AI tutorial episode is useful precisely because it is opinionated about tools rather than principle-based and vague. Step one (find idea) and step two (sketch idea) are familiar territory. The tutorial earns its runtime with steps three through six, where the specific tools — Bolt for rapid UI scaffolding, Lovable for more polished prototyping, Cursor for AI-assisted code editing, Lindy for AI agents — make the process concrete enough to actually follow.

"Vibe coding" and "vibe marketing" are Greg's terms for the AI-assisted creative process where you describe what you want in natural language and iterate based on output rather than specification. The criticism of this approach is that the resulting products are brittle and hard to maintain. Greg's counterargument is that for finding product-market fit, brittleness doesn't matter — you need to learn whether anyone wants the thing before you invest in making it clean. A scrappy prototype that generates real user signal is worth more than a clean codebase with no users.

The AI agent product manager step is the most forward-looking. Lindy lets you create AI agents that perform recurring tasks — user interview synthesis, feature prioritization, competitive monitoring — that would otherwise require a junior PM or a lot of founder time. The argument is that the first hire most solo founders make (a product manager) can now be deferred indefinitely because AI can perform most of the synthesis and coordination work.

The episode's implicit claim is that the cost of learning whether an idea has legs has dropped by roughly 90% in the last two years. If that is true — and the tool stack Greg describes suggests it is close — then the main constraint on startup formation is no longer capital or technical skill. It is idea quality and the willingness to ship something embarrassing fast.