What rules does the prompt optimizer check?

The optimizer checks for filler words (please, kindly), vague instructions (make it better), conflicting directives (be concise + explain in detail), missing role definition, missing output format specification, and missing examples.

How is the prompt quality score calculated?

The score starts at 10 and deductions are made for each finding: errors cost 2 points, warnings cost 1 point, and info notices cost 0.5 points. The minimum score is 1.

Is this optimizer specific to one AI model?

No. The rules are general best practices for prompt engineering that apply to ChatGPT, Claude, Gemini, LLaMA, and other language models.

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FAQ

What rules does the prompt optimizer check?: The optimizer checks for filler words (please, kindly), vague instructions (make it better), conflicting directives (be concise + explain in detail), missing role definition, missing output format specification, and missing examples.
How is the prompt quality score calculated?: The score starts at 10 and deductions are made for each finding: errors cost 2 points, warnings cost 1 point, and info notices cost 0.5 points. The minimum score is 1.
Is this optimizer specific to one AI model?: No. The rules are general best practices for prompt engineering that apply to ChatGPT, Claude, Gemini, LLaMA, and other language models.

Rule-based AI prompt analyzer that checks for common prompt engineering mistakes. Detects filler words, vague instructions, conflicting directives, missing role definitions, missing output format, and missing examples. Returns findings with severity badges and an overall quality score.