We read every DeepSeek V3 prompt guide so you don't have to.
Paste your prompt below - we'll rewrite it using DeepSeek's official best practices.
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- Built on DeepSeek's official prompting guide
- Handles function_calling, json_mode, FIM, prefix_completions automatically
- Free, instant, no signup
What DeepSeek V3 actually rewards
We pulled this from DeepSeek's official guidance and what works in production. The short version:
- →Use persona, examples, JSON Schema like other instructable LLMs.
- →Use FIM (Fill-in-Middle) for code edits.
Before you hit send, check:
- ☐Did you give it a role or persona?
- ☐Did you state the output format and length?
- ☐Separate instructions from input?
- ☐Did you use positive ('Write X') not negative ('Don't write Y') phrasing?
- ☐Did you include one example of what good looks like?
Ready to rewrite for DeepSeek V3?
Frequently asked questions
- Which versions of DeepSeek V3 does this support?
- We support the latest DeepSeek V3 versions. We apply the prompt patterns DeepSeek 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 DeepSeek's official guidance.
- What makes this different from DeepSeek V3's own "improve prompt" feature?
- Built-in optimizers use the model's own preferences. Ours is built on DeepSeek's official documentation and patterns that consistently produce better results in production. DeepSeek V3 works best with prompts in the 100-3000 token range, and we keep rewrites inside that window.
Optimizing for a different AI?