Fluentprompts

We read every ChatGPT (GPT-5 reasoning) prompt guide so you don't have to.

Paste your prompt below - we'll rewrite it using OpenAI's official best practices.

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What ChatGPT actually rewards

We pulled this from OpenAI's official guidance and what works in production. The short version:

  • State goal + success criteria + output contract — nothing more.
  • Use XML blocks for non-overlapping rules.
  • Constrain verbosity in output_verbosity_spec block.
  • Use reasoning_effort=none for execution-heavy tasks (extraction, transforms); medium+ for synthesis.

Before you hit send, check:

  • Did you state goal + success criteria + output contract — nothing more?
  • Did you use XML blocks for non-overlapping rules?
  • Constrain verbosity in output_verbosity_spec block?
  • Did you use reasoning_effort=none for execution-heavy tasks (extraction, transforms); medium+ for synthesis?

Common mistakes we fix automatically

  • Avoid
    Don't add 'think step by step' for reasoning_effort >= medium.
  • Avoid
    Don't write contradictory rules ('be concise' + 'err on completeness').

Ready to rewrite for ChatGPT?

Frequently asked questions

Which versions of ChatGPT (GPT-5 reasoning) does this support?
We support the latest ChatGPT (GPT-5 reasoning) versions. We apply the prompt patterns OpenAI recommends for each, so the rewrite is tuned to the version you're using.
Is my prompt stored or used for training?
No. Prompts are sent to the rewriter, scored, returned, and discarded. We don't train on them and we don't keep them around.
Do I need to know prompt engineering to use this?
Nope. That's the point. Paste what you have, click Rewrite, get back a version that follows OpenAI's official guidance.
What makes this different from ChatGPT (GPT-5 reasoning)'s own "improve prompt" feature?
Built-in optimizers use the model's own preferences. Ours is built on OpenAI's official documentation and patterns that consistently produce better results in production. ChatGPT (GPT-5 reasoning) works best with prompts in the 100-800 token range, and we keep rewrites inside that window.

Optimizing for a different AI?