01Built-in benchmarking tool to compare content quality across different AI models
02Multi-category analysis covering structural patterns, vocabulary choice, voice, and micro-patterns
030 GitHub stars
04Detailed sentence-level diagnostics flagging vague verbs, passive voice, and repetitive openers
05Weighted scoring system (0-100) based on 18 distinct NLP metrics to measure human-ness
06Actionable improvement guide for fixing low personality, readability, and vocabulary scores