Prompt rewriter
Turn rough prompts into clear, model-ready instructions. Free. No sign-in.
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Rewriting begins with intent preservation
A prompt rewriter should produce a clearer instruction for the same job. The subject, intended audience, factual inputs, nonnegotiable constraints, and desired decision must survive the rewrite. New structure is useful only if it makes those elements easier to execute or review. The central risk is drift: a fluent rewrite can quietly narrow the question, add a premise, change the tone, or turn a request for options into a request for a recommendation.
Move the task where it can be found
Rough prompts often begin with background and reveal the request at the end. A rewrite can lead with the deliverable, then place supporting context beneath it. Multi-part tasks should be ordered when later steps depend on earlier ones. Independent deliverables may need separate prompts. This is structural editing, not decoration. Headings, labels, or XML-style tags are worthwhile when they separate different kinds of material; adding them to every sentence makes the instruction harder to scan.
Keep facts, assumptions, and placeholders distinct
A rewriter must not improve the prose by inventing the substance. Supplied facts can be retained. Strong implications can be framed as explicit assumptions for review. Missing names, dates, thresholds, or source text should remain visible as bracketed placeholders or clarifying questions. For research and analysis, state whether outside knowledge is allowed and how citations should work. For external copy, tell the downstream model not to create testimonials, statistics, affiliations, or product capabilities that were not provided.
What a useful rewrite looks like
Take "look at these survey responses and tell me the main problems." A stronger version is: "Analyze the attached survey responses from current customers. Group recurring problems by theme, report the number of responses supporting each theme, and include one short representative quotation. Separate explicit complaints from your interpretation. Return the top five themes in a table, followed by three questions the survey cannot answer. Do not infer demographics or sentiment not present in the responses." The task is unchanged, but its evidence and output are reviewable.
Use the diff as an editorial check
Read additions more carefully than unchanged text. Ask whether each new constraint came from the original intent, solves a real ambiguity, or introduces an unauthorized choice. Check deletions for lost nuance and scan the compact version for oversimplification. A good change note names what happened, such as separating two tasks or adding a missing output format. It should not claim the original was bad or suggest that more words automatically make the new version better.
When rewriting is unnecessary
Do not rewrite a prompt merely to vary its wording. A short factual question can already be complete, and a tested production instruction may depend on exact language. Rewriting also cannot validate the source material or guarantee the downstream response. Promptneat is designed for requests that have a deliverable and enough ambiguity to benefit from editing. It returns the revised text, a compact alternative, and a visible diff. There is no sign-in, and raw prompt text is not stored.