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This AI prompt optimizer clarifies the desired result, preserves your facts and constraints, and shows every change before you test the rewritten prompt in ChatGPT, Claude, Gemini, or any LLM.

0 / 12,000

Paste an existing prompt. The optimizer rewrites it; it does not run it.

Rewritten prompt

Your rewrite will appear here

The optimizer returns one revised prompt, a readable diff, and the reasons behind each change.

We do not store prompt text. OpenRouter requests require zero data retention and no data collection. Dictation is handled by your browser, which may send audio to its speech service; we do not receive or store that audio. Anonymous usage limits use a salted, one-way hash of your IP address. Result ratings store structured metadata, never the prompt or rewrite.

A rewrite you can inspect before you run it

A short prompt can hide an unsupported claim. This static example shows how the optimizer makes the instructions explicit without changing the job.

Original prompt

Write a launch email for our API tool. Make it exciting and mention it saves lots of time. Keep it short.

Revised prompt with diff

Removed · Added

Write a launch email for [target audience] about our API tool.

Make it exciting and mention it saves lots of time.

Use an energetic tone. Mention time savings only if [approved evidence] supports the claim; otherwise omit it.

Keep it short.

Keep it concise. If a firm length is required, use [confirmed word limit].

Preserved constraints

  • The deliverable remains a launch email.
  • The subject remains the same API tool.
  • The requested energetic tone remains visible.
  • Brevity is preserved without inventing a word limit.
  • The time-saved claim becomes conditional on approved evidence.

What makes the next result easier to check

A useful prompt enhancer should make the assignment easier for the model to follow and the eventual output easier for you to judge. The rewrite keeps the goal, evidence, constraints, and required format visible.

Clear outcome
States the task, audience, and intended result without changing the underlying goal.
Usable context
Organizes facts, examples, and inputs so the model can separate evidence from instructions.
Explicit constraints
Keeps length, tone, format, variables, code fences, and other requirements visible.
Reviewable output
Acts as an inspectable prompt check: additions, removals, reasons, and preserved constraints stay visible. There is no unexplained quality score.

Use the prompt optimizer in three steps

  1. 1

    Paste the working prompt

    Start with the prompt you already use, including its variables, examples, and format requirements.

  2. 2

    Choose the target family

    Use Any LLM for a neutral rewrite or select ChatGPT, Claude, or Gemini.

  3. 3

    Review before copying

    Check the clean result, inspect the diff, and confirm that the preserved constraints match your intent.

What stays intact

The rewrite is instructed to preserve facts, quoted text, placeholders, variable names, code, language, examples, safety boundaries, and required output formats. Missing facts should remain visible as placeholders instead of being invented.

The optimizer is a drafting aid, not a guarantee that every model will produce the same result. Test the revised prompt against the model and workflow where you plan to use it.

Prompt optimizer questions

What does an AI prompt optimizer change?

It rewrites an existing prompt to make the goal, context, constraints, and requested output easier for a model to follow. The result includes a diff and specific change notes so you can inspect the rewrite before using it.

Does the prompt optimizer run my prompt?

No. It edits the prompt but does not execute the task inside it. You receive one optimized prompt to review and copy into the model or application you choose.

Is this also a prompt enhancer or prompt improver?

Yes. Prompt enhancer and prompt improver describe the same core job here: rewrite an existing prompt without changing its assignment. The optimizer adds a visible diff, change reasons, and preserved constraints, so you can check each edit instead of accepting an unexplained rewrite.

Does BenchLM store my prompt?

No. BenchLM does not save prompt text in its database, logs, or analytics. The request is sent through OpenRouter with zero-data-retention and no-data-collection routing enabled. A salted, one-way hash of the client IP is stored temporarily to enforce anonymous usage limits.

Can I optimize prompts for ChatGPT, Claude, and Gemini?

Yes. Choose Any LLM for a model-neutral rewrite, or select ChatGPT / OpenAI, Claude, or Gemini for broadly compatible guidance tailored to that model family.

Is the prompt optimizer free?

The tool is free to use without an account. The generator and optimizer share 10 requests every 24 hours for each IP address, with up to 5 requests every 10 minutes.

Know when it’s worth switching models

The model to choose, the cheaper alternative, and the release we would wait on.

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