Developer Tools / AI Evaluation

LLM INQUISITOR

A GitHub repository that proposes a practical methodology for evaluating how AI systems behave during real work, with quick-start, practitioner, and methodology guides included.

Clear25/30
Useful24/30
Specific15/20
Complete14/20
LLM INQUISITOR screenshot

Why it was accepted

The page clearly describes an AI-adjacent tool for evaluating model behavior in realistic workflows, and the repository includes concrete materials a visitor can use: a quick start guide, practitioner’s guide, methodology PDF, and a report aid. The purpose is specific, the target users are named, and the repo provides enough evidence for a useful public listing.

Weakness

The crawl does not show the actual contents of the PDFs, so it’s hard to tell how actionable the evaluation steps are or what exact scoring criteria it uses. There are also no visible examples, screenshots, or implementation details showing how the methodology is applied in practice.

Review status

31 days ago #592 ↑ +6

Last evaluated 31 days ago. Current rank #592. Up 6 spots in the rankings.

Score history

78

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