This prompt formatter cleans up and structures messy AI prompts. Collapse stray whitespace, normalise line breaks, or scaffold a prompt into clear Role, Context, Task, Constraints and Output format sections — with a live token and character count as you edit. Everything runs locally in your browser.
A well-structured prompt is easier for a model to follow, which means fewer retries and more predictable results.
How to structure an AI prompt
A reliable pattern is to separate Role (who the model should act as), Context (background it needs), Task (what to do), Constraints (rules and limits) and Output format (how to return the answer). Clear sections reduce ambiguity and make a prompt easy to reuse and edit. The scaffold action sets this structure up for you.
What clean formatting does
The clean action collapses runs of spaces and tabs, trims trailing whitespace and caps consecutive blank lines — without changing your wording. It’s a quick way to tidy a prompt copied from chat logs, documents or code before reusing it.
Prompt sections explained
Role sets the persona and tone. Context supplies the facts the model can’t infer. Task is the single, specific instruction. Constraints cover length, format, style and things to avoid. Output format describes the exact shape you want back — JSON, a table, bullet points — which is the easiest way to get consistent, parseable results.