Chinese AI Humanizer

The Problem

When a Chinese draft is generated by an LLM, the issue is often not factual errors but template-like phrasing: stacked parallel clauses, over-explanation, marketing tone, and vague summaries. ai-humanizer-zh treats “de-AI-ifying” text as a reviewable task: identify passages that reveal AI writing patterns, rewrite them into more natural Chinese, and explain why problem fragments need adjustment. It fits pre-publish polishing for papers, WeChat articles, Xiaohongshu notes, official blogs, marketing landing pages, course scripts, and other content.

How It Works and Where It Fits

The skill accepts materialText, materialFile, or materialUrl, and constrains rewriting through goal, audience, targetPlatform, tonePreference, and brandRequirements. reviewDepth supports quick cleanup, standard rewrite, and deep rewrite, moving from light phrasing edits to explanations of revision choices. The output usually includes AI-writing pattern diagnostics, a naturalized rewrite, problem-fragment notes, and next-step suggestions.
It works best when the reader and delivery context are explicit. Do not only request “more human”; define platform, tone, brand constraints, facts that must remain unchanged, and forbidden phrases. If the input is short or the goal is vague, add audience, compliance boundaries, and platform requirements before running it; otherwise the result may improve sentence style without meeting publication quality.