AI Text Humanize Polish Pro

Problem

AI-generated prose often reads too clean: symmetrical clauses, mechanical connectors, neutral tone, and template-like punctuation make it hard for readers to sense a person behind the content. This pattern is common in marketing copy, social notes, and long-form articles. This skill does not rewrite plots, data, or opinions. It lowers the machine-like feel so the text sounds like a knowledgeable person talking about something that matters to them.

How It Works

• Tone first, meaning second: It preserves facts, views, persona, and technical terms, and does not add content or elevate the conclusion.
• Tiered strength: It supports light, medium, and heavy passes for common AI patterns, formal phrasing, and human-sounding rhythm.
• Pipeline: It scans banned phrases, punctuation, parallelism, vague words, and rhythm issues, then applies layer-by-layer edits; for example, it replaces mechanical connectors and grounds abstract wording in concrete actions.
• Quality gate: It runs layered checks, limits iteration to three rounds, and flags cases that need human review.

Boundaries

It fits public-account posts, Xiaohongshu notes, product copy, short-video scripts, and technical blogs. Avoid legal contracts, academic papers, and official documents that require formal written language. Technical terms are preserved by default unless explicitly allowed to change.