Prompt Optimizer
Improve any existing prompt by finding ambiguities, adding constraints, and restructuring.
Updated Feb 20, 2026
Variables to Customize
0/3 filledPrompt
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}}
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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.
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