Emergence Science AI-Assisted WeChat Writing

Problem: Why AI writing feels generic

For WeChat, Zhihu, Xiaohongshu, and similar channels, the issue is rarely length. It is plausibility: models often produce polite, balanced, repetitive summaries without firsthand evidence, concrete data, or answers that search engines and LLMs can cite. This skill reframes the goal from “producing content” to information gain: decide what new cognition, emotional resonance, or professional talking point the reader receives, then shape structure and tone around that.

How it works

• Value-first audit: check whether IG > 0, meaning the post contains at least one insight that would not be obvious without the source material.
• Readable structure: open with a 150-word hook, keep paragraphs to 3–4 sentences, and use bolding, lists, and block quotes for scanability.
• SEO/GEO alignment: target real query intent such as “how to…” and include a concise Q&A section for generative search.
• Platform localization: adapt formatting, tone, and trust signals for WeChat, Zhihu, Xiaohongshu, or English platforms.
• Workflow: extract tacit knowledge through interview, persist it in idea.md, ingest source material, distill conclusions, draft, and audit before publishing.

Boundaries

It works best when the author has cases, data, product experience, or verifiable sources. If facts and evidence are missing, it can structure the argument but cannot manufacture credibility.