Many authors use AI to overcome blank pages, then discover that speed has created a new problem: repetitive language, weak reasoning, inaccurate claims, and a manuscript that does not sound like them. This episode presents a five-step, human-first editorial system for transforming an AI-assisted draft into a professional book without misrepresenting how it was created. You will learn how to establish a source-of-truth brief, mark AI-generated claims for verification, restore a distinct author voice, run structural and line-level editing passes, and complete an originality and disclosure review before publication. A practical case study follows a nonfiction author who reduced revision chaos by separating research, drafting, fact-checking, and voice editing into clear stages. Listeners will leave with a repeatable workflow, a quality-control checklist, and one action they can complete today. The episode closes by showing when professional publishing support can protect quality and accelerate a responsible release.