Classifying 148 WeChat articles with an LLM in 2 minutes for $0.04
huangyun_122 · x · 2026-09-22
A blogger scraped 148 long-form WeChat articles from a private-domain marketing operator and used an LLM to classify them by scenario in under 2 minutes at $0.04 total. The results reveal reusable frameworks for sales copy, productized services, and positioning — a cheap LLM-based annotation pipeline worth copying.
Related event: LLM Classifies 148 WeChat Articles in 2 Minutes for $0.04(2 posts)→
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