holy fuck, jev is crazy i pointed it at 10,472 real meta

@RiverKhan RTK · Sep 18, 2026 · case #243062 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Classified 10,472 real Meta ads by caption, hook, angle, offer, format and emotion using Jev at $0.07 per 100 ads.

The original post

holy fuck, jev is crazy i pointed it at 10,472 real meta ads and told it to classify every single one caption · hook · angle · offer · format · emotion all for just $0.07 per 100 ads it can also rank your winners, cluster angles, spot creative fatigue i'm dropping the entire

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under classification & data extraction, video, animation & media, sales, ads & marketing. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

🗂️ Classification & data extraction 🎬 Video, animation & media 📈 Sales, ads & marketing