Jev usecase : Content moderation on live user-generated

@rajuborda Raju Borda · Sep 21, 2026 · case #191862 · listed via Jev Hub

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

Used Jev for content moderation on live user-generated text, pairing it with local OCR and image-description models for images and video.

The original post

Jev usecase : Content moderation on live user-generated content . Faster , Cheaper and gives good quality with Text. For images/Videos uses Local OCR / LLMs and send image description . #usecase #Building #AI #JEV #ML

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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, support & operations. 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 🎧 Support & operations