AI Output Checker

This tool analyzes AI-generated outputs for clarity, factual accuracy, bias, and originality. It supports multiple evaluation dimensions including readability, source attribution, and response diversity. It operates by applying linguistic features, AI-generation pattern detectors, and optional reference checks to produce an actionable quality profile.
Conceptually, the tool treats each input as a text artifact and computes a landscape of scores: readability, factual consistency, originality, alignment to prompts, and safety signals. It can compare the text to an optional reference to assess drift and generate remediation steps.
Who benefits: educators validating student work, editors ensuring content integrity, product teams evaluating automated support, and researchers studying AI behavior. Unique differentiators include domain-specific scoring, configurable rubrics, privacy-preserving modes, and exportable reports for audits and compliance.