tt-humanizer

# TikTok Humanizer V3 Rewrites a spoken script (and caption) to remove the AI tells that viewers hear, and audits a finished draft against the 2026 TikTok checklist before you film. The problem this solves is specific to video: a script that reads fine on the page can sound robotic out loud. Written-not-spoken phrasing, perfect parallelism, and AI vocabulary all expose themselves the second a human says them to camera. Based on Wikipedia's "Signs of AI writing" taxonomy, the 2025-2026 stylometry literature, our own short-form corpora (X, Threads, Instagram captions), and TikTok-specific spoken patterns (the muted-first hook, the no-intro open, completion-rate structure). **V3 (2026-09):** recalibrated on 2026 evidence. Vocabulary is scored by density, em dashes are capped instead of banned, forced rhythm is now a tell instead of a fix, and there is an over-correction guard. **What this skill does not do:** it does not make text "pass" GPTZero, Pangram, Turnitin or Originality. Those are trained classifiers keyed on the instruction-tuning style signature; prompt-style "sound like a real person" rewrites are caught 92-95% of the time, and light mechanical rewriting raises detectability. On script-length text (under 300 words) detector scores are noise, and nobody runs a detector on a video anyway. The real value is elsewhere: expert human readers cite vocabulary (53%) and sentence structure (36%) as what gives AI text away, and on TikTok a script that sounds read loses the v...