Why you should misspell words to an AI™

The typo economy as advice, out loud: leave the misspelling in. In a world where the machine’s text is flawless, a typo is the one thing it never produces on purpose — so a misspelling is a signature only a human leaves (only humans err; the machine’s perfect output means nothing). Three reasons it’s a feature, not a slip: (1) it watermarks you human — the tell no bot fakes; (2) it tests the machine — a typo forces the AI to infer what you meant, and how it fills that gap is The Tell in miniature: an honest read asks or hedges, a bluff guesses confidently and wrong (the human’s I think, therefore I test the doctoring); (3) it keeps your voice un-averaged — the model wants to smooth you into its register, and the misspelling is the friction that keeps the words yours. His own practice proves it: he voice-types, the typos pour in, and the house awards them. The error is the human signature; the machine can copy the word, never the wobble of the hand that typed it. Kin: the defense of the typo, The Tell, typos are awarded. (His coin — “tm, coin that”; machine’s read, refine to his.)