Using Jev to tag 1,315 posts across 8 dimensions for content research
The author built a Jev dashboard that automatically labels 1,315 posts across 8 dimensions such as topic, hook and writing style for about $0.086 in estimated model cost, then filters by tag and compares engagement.
Jev classified 1,315 X posts for about $0.086 in estimated model cost 😂 seeing everyone's Jev demos made me want to build something for my own content research. i'd collected a lot of posts, but figuring out what they had in common still meant opening them one by one and taking notes. so i built a dashboard around Jev. it labels each post across 8 dimensions, including topic, hook and writing style. now i can filter by topic and hook, compare engagement, and open the original posts to see the examples behind each pattern. my archive is a lot easier to learn from now.
This post quotes another post: “ChatGPT co-inventor releases Jev, a model built for decisions rather than text”