humanize
Humanize: AI Pattern Detection and Removal
Remove AI-generated writing patterns from text. Produce natural, human-sounding output that preserves meaning.
This is not a generic rewriter and not a detector-evasion tool. It targets specific, documented AI-writing patterns catalogued by Wikipedia's WikiProject AI Cleanup, plus patterns specific to engineering prose. The goal is text a person would write for one reader and one subject — better writing, judged by readers, not by detector scores.
Why AI text sounds the way it does
A language model writes whatever is most likely to come next, so by default it makes the choice that fits the widest range of readers and subjects. A person chooses for one reader and one subject. Every pattern this skill targets is a form of that default choice:
- Staging — a sentence that signals importance instead of adding a fact.
- Inflation — an ordinary fact dressed as pivotal or expert-backed.
- Language habits — vocabulary and grammar applied by frequency, not by ear.
- Formatting by rule — bold, triads, and dashes applied everywhere.
- Leftovers — chat wrappers and draft residue never meant for the reader.
Word habits churn with every model release; the structural habits persist. Structural patterns therefore rank highest and get edited on a single sighting, while weak-alone patterns (a dash, a triad, a hedge) count only when several tells share a passage.