Prompt polish

Stop asking the model to make it modern and nice.

Turn vague build prompts into clear specifications with context, constraints, states, and acceptance criteria an AI coding tool can follow.

A swamp mascot ironing a tangled prompt into a clear checklist

Context

State what exists, who it is for, and where the change belongs.

Constraints

Name the stack, patterns, limits, and things that must not change.

States

Cover mobile, loading, empty, error, success, and permission conditions.

Done means

Give the model observable acceptance criteria instead of vibes.

Why prompts fail

The model filled in decisions you never made

AI tools are very good at confidently choosing the missing details. Prompt polish surfaces those gaps before they become a plausible but wrong implementation.

  • Unclear ownership, route, component, or data source.
  • No hierarchy between required behaviour and visual preference.
  • Missing edge cases and responsive expectations.
  • No verification step for the finished work.

The polished version

A brief that is easier to build and review

The result keeps your intent but turns it into ordered, testable instructions. It is useful in Cursor, Claude, Codex, Bolt, v0, and any other tool that benefits from fewer guesses.

  • A concise objective and relevant repository context.
  • Functional and visual requirements separated clearly.
  • Explicit constraints and non-goals.
  • A short verification checklist.

Make the prompt do some work

Paste the vague version. We will make the decisions visible.

Polish a prompt