Making an AI-built prototype real

AI tools are astonishingly good at the first 80%. You describe what you want and something works. The trouble is the last 20% — the part that makes software maintainable — is exactly the part the demo skips.

What “real” actually means

Real software has boundaries you can reason about, data you can trust, and a way to change it without holding your breath. It has tests where they matter and documentation where the next person will look. None of that is glamorous. All of it is the difference between an asset and a future emergency.

Keep the speed AI gave you. Add the durability it didn’t.

I don’t throw the prototype away — that wastes the momentum. I stabilize it, draw clear seams, and replace what’s brittle piece by piece until it’s something a team can own.