Running Jev over 148 WeChat articles takes under 2 minutes for scene classification
huangyun_122 · x · 2026-09-22
A user scraped 148 1,000-word WeChat official account articles (from a well-known private-domain marketing operator) and used Jev to classify them by scenario — sales copy, product design, positioning — in under 2 minutes. Their takeaway: Jev handles this kind of copywriting-pattern analysis well, and low-cost batch text labeling is a direction worth pursuing.
Related event: LLM Classifies 148 WeChat Articles in 2 Minutes for $0.04(2 posts)→
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