What do most founders get wrong about building AI products?

AI is a tool, not a product. The misconception — driven by hype — is that adding AI makes something better or more valuable by default. It doesn't. What makes a product valuable is domain expertise. AI amplifies good domain knowledge. Without it, AI products are generic and replaceable.

A tender consultant with years of expertise uses AI to transcribe and analyze documents. The value isn't the AI — it's the consultant's workflow and expertise encoded into the software. He was winning tenders before AI existed. AI just lets him scale. A platform for doctors to write clinical notes uses AI to transcribe recordings. But the product only works because of deep domain expertise in how doctors actually work.

For 80% of products, AI is a supporting feature, not the core. Customers often don't care if you use AI or cheap freelancers to produce their outputs — they care if the problem gets solved. Don't market AI as your differentiator if the real value is domain expertise.

Worth Building applies directly: does the problem deserve a solution, regardless of what technology powers it? Find the Core asks what capability creates competitive advantage — for most products that's domain knowledge, not the AI layer. Business Cost is the reminder that craft serves business goals; technology for technology's sake is self-indulgence.

Before building an "AI product," answer: What domain expertise do I have? What specific workflow am I making faster or better? If you can't answer these without mentioning AI, you don't have a product concept yet.