AI Prompt Optimizer
Paste a prompt, compare the rewrite with the original, and see what changed for ChatGPT, Claude, Gemini, or any LLM.
What a reviewable rewrite looks like
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 the optimizer changes
A useful rewrite should be easier to inspect, not merely longer. The optimizer focuses on the parts of a prompt that affect whether a model can follow it reliably.
- 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
- Shows additions and removals alongside concise reasons. There is no unexplained quality score.
Use the prompt optimizer in three steps
- 1
Paste the working prompt
Start with the prompt you already use, including its variables, examples, and format requirements.
- 2
Choose the target family
Use Any LLM for a neutral rewrite or select ChatGPT, Claude, or Gemini.
- 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 a prompt enhancer the same as a prompt optimizer?
Usually. Prompt enhancer, prompt improver, prompt refiner, and prompt rewriter all describe tools that revise an existing prompt. This optimizer keeps the original visible, returns a diff, and explains each change, so you can inspect whether the rewrite preserved your intent.
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.
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