humanizelisted

# Humanize Text Skill Transforms AI-generated or flat text into output that mirrors the statistical and stylistic fingerprint of human writing. Grounded in the published detection literature (Wu et al. 2025, Kujur 2025, Mitchell et al. 2023, and the AAAI 2025 shared task corpus). --- ## Mental model: what detectors actually measure Before rewriting, internalize the nine signals detectors use (the eight stylometric signals plus the RLHF / instruction-tuning fingerprint). Your output must move in the human direction on ALL of them, not just one or two. | Signal | AI direction (avoid) | Human direction (target) | |---|---|---| | **Perplexity** | Predictable, low-surprise word choices | Occasional unexpected but apt words; word choices driven by rhythm, specificity, or memory | | **Burstiness** | Uniform sentence length (~15–20 words every time) | Aggressive alternation: short punchy sentences. Then a longer one that builds and unfolds over a clause or two. | | **Hedge density** | Overuse of "often", "generally", "typically", "it is important to note", "it is worth mentioning" | Hedges used only when actually uncertain; direct assertion otherwise | | **Lexical repetition** | Same root words recycled across paragraphs | Natural semantic diversity; synonyms and reformulations | | **Structural markers** | Bullet lists for everything; numbered steps; excessive subheadings | Flowing prose; structure emerges from content, not imposed on it | | **Personal/emotional specificity** |