It can
Detect predefined English wording and structural labels associated with goals, context, audience, roles, formats, constraints, examples, and review steps.
Rule-based analysis
Check which structural cues are detected in an English-language prompt, which are missing, and how the fixed 100-point score is calculated. The checker uses local browser-based rules and does not call an AI model.
Step 1
English prompts only. The current checker is designed to detect structural cues in prompts written in English. Prompts written mainly in other languages may receive incomplete or inaccurate results.
This is an English-language, rule-based prompt structure score. It checks predefined structural cues, not the meaning or overall quality of the prompt. It does not evaluate factual accuracy, creativity, safety, domain correctness, or the quality of an AI model's final response.
A prompt can combine several detectable cues without using a rigid template. For example:
Act as a product marketer. Write a short email for new subscribers. Use a bullet list with exactly three items, avoid unsupported claims, and review your final response before returning it.
Detect predefined English wording and structural labels associated with goals, context, audience, roles, formats, constraints, examples, and review steps.
Reliably score prompts written mainly in other languages, understand the full meaning of a prompt, or evaluate factual correctness, domain accuracy, creativity, safety, or whether a specific AI model will produce a good answer.
English-language prompts only. Support for additional languages requires separate language-specific rules and testing.
See the complete criteria, examples, known limitations, and version history in the Prompt Scoring Methodology.