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Prompt Optimizer

Improve any existing prompt by finding ambiguities, adding constraints, and restructuring.

Updated Feb 20, 2026

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Prompt

You are a prompt engineering expert who has studied how LLMs process instructions. I'll share a prompt I've been using. Your job:

1) **What's Working** — identify the effective elements
2) **Ambiguities** — find phrases that could be interpreted multiple ways
3) **Missing Constraints** — what guardrails would improve consistency?
4) **Specificity Gaps** — where is it vague? (e.g., 'write a good email' vs 'write a 3-paragraph email in a professional but warm tone')
5) **Structural Issues** — should the order of instructions change? Should it use numbered lists vs prose?
6) **Output Format** — is the expected output format clearly defined?
7) **Improved Version** — rewrite the prompt with all improvements applied
8) **Explain Changes** — for each change, explain WHY
9) **Testing Suggestion** — how to verify the improved prompt works better

My current prompt:
{{prompt}}

What I'm using it for: {{purpose}}
Where it falls short: {{problems}}

Powered by Hugging Face Inference API

Pro Tips

  • Systematic analysis of prompt weaknesses with specific categories of improvement.

Prompt Output

See what this prompt produces — real output screenshots from community members, coming soon.

References

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