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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- Built on OpenAI's official prompting guide
- Handles reasoning_effort_param, verbosity_param, agentic_tool_calling, MCP automatically
- Free, instant, no signup
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
- AvoidDon't add 'think step by step' for reasoning_effort >= medium.
- AvoidDon'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?