Your prompt is only as strong as its weakest dimension
Most prompts fail not because they're bad overall, but because they're blind in one area — missing context, no output contract, weak on edge cases. PromptLint scores your prompt across 7 critical dimensions so you can see exactly where it breaks before your users do.
Is it unambiguous? Could a brilliant new employee with zero context follow it perfectly?
Does it explain why, not just what? Context helps the model generalize beyond literal instructions.
XML tags, clear sections, consistent naming — structural elements that prevent misinterpretation.
3-5 diverse examples covering typical cases and edge cases, balanced across categories.
Does it define what done looks like? Format, length, tone, required fields, fallback behavior.
Right techniques for the use case — CoT for reasoning, ReAct for agents, grounding for RAG.
Prompt injection defense, hallucination guardrails, uncertainty handling, and safety rails.
Your key is sent directly to the provider — never stored or logged.
Your scored evaluation will appear here
Each dimension gets a 1–5 score with actionable feedback, plus a production-ready improved prompt you can copy straight into your codebase.