Workflow

Using AI in the Website Build Workflow

Most of the value is in the workshop, before a single public request ever touches a model API.

Discovery and rewrite

Models speed up the boring middle: clustering notes, proposing sitemap labels, and turning a transcript into a punch list. A person still runs the interview and still owns the scope.

We keep source notes in the project so the draft can be traced.

Design and engineering assists

A model can propose component states, empty-state copy, and test ideas. It can also suggest a pattern that fights the design system.

We accept the diff that matches the system and reject the one that adds a framework to save twenty minutes.

Decisions stay written down

Which model was used, what it was allowed to see, and what a human changed should be recoverable. Chat logs inside a personal account are not a project record.

The repository, not the model vendor, is the system of record.