How AI Detection Actually Works
AI detectors look for statistical patterns: perplexity (how predictable the next word is), burstiness (variation in sentence complexity), and specific phrase patterns that LLMs favor. They're essentially asking: "Does this text behave like an AI would generate it?"
The thing is, these patterns are pretty consistent across AI models. ChatGPT, Claude, Gemini. They all produce text with similar statistical fingerprints. That predictability is exactly what detectors exploit.
Why Simple Rewording Doesn't Work Anymore
Early "anti-detection" tools just swapped synonyms or added filler words. Detection tools caught on fast. Modern detectors analyze deeper patterns: sentence rhythm, structural choices, the overall "voice" of the text.
Our approach is different. We don't just modify the surface. We genuinely rewrite content with human-like variability: inconsistent sentence lengths, natural transitions, the kind of slight imperfections that real writing has.
Works Against Major Detectors
GPTZero, Originality.ai, Turnitin's AI detection, Copyleaks, Winston AI. We've tested against all of them. No tool can guarantee 100% bypass rates (anyone claiming that is lying), but our humanized text consistently scores as human-written.
Paste your AI-generated text above, humanize it, then run it through whatever detector you're dealing with. See the difference yourself.