What does “ready” actually mean when building software with AI?

A common pattern in AI-assisted development is declaring something ready because it looks complete. But readiness is not a polish milestone. It is a responsibility call.

AI-assisted coding and vibeCoding can generate drafts quickly. The real decision comes when someone has to decide whether it is safe to release.

In practice, “ready” often means something simpler:

A first-time user can complete the core path when it matters most.

AI can help explore risks, generate tests and model failure states. But a human still decides when the system is reliable enough to trust in production.

This working note is part of a sequence on launch decisions when building software with AI.

This is 3.7 in a small series of notes on launching an app built with AI.

Just because it looks finished, doesn't mean that it is finished.

AI can write the code, but the release decision is still human.