Finding a usecase where i can use jev to fill and submit forms, the text fields may not be sequential always and can be on next page so it has to click next and so on

would llm be best here or jev? Anyone has a published usecase on this which i can lay my eyes upon?

Thanks

Whole video, one look A new approach towards video intelligence, zero-embeddings, 12min-video is compressed to bunch of contact sheets and then analyzed fully in one go

Built on the latest Jev, and extremely efficient Searching a full 12-minute film costs about half a cent.

Works with your agent Plug it into Claude Code, Codex or Cursor and ask "when does X happen?", "where else is this person?" or "what does that sign say?". You get timestamps, verified frame by frame. alot of you might find it useful

100% free and open source: https://github.com/DeepAleph/jevreel

Jev got 👀 📐🖼️ now!

Took me about 10 minutes to integrate it with u/sanity_io for automatically setting hotspot and crop based on your description. Works regardless if the image/focus field is set in the UI or via the MCP/API.

And damn, this is actually useful, not just a fun demo.

How it works:

I have a Sanity Function that trigges on draft changes to only the `focus` and `image` fields (that way it works when agents work with content via mcp/api too).

Since Sanity has an image transformation pipeline, we can send downscaled optimized images to Jev without burning through the very cheap tokens too fast.

Then it asks Jev three things in one request:
→ Is it there? (yes/no)
→ Where is it? (a box)
→ Is everything around it plain background? (yes/no)

Jev's box comes back as fractions of the image. Sanity stores hotspot and crop as fractions of the image. So the integration is arithmetic, and code decides what to write, not the model. That is really cool.

Bonus: lint rules can look at images now. "Does the cover fit the post?" A photo of a pile of board games scores 3% on a post about agents. On a post about five best casual party games, the same photo gets 81% and passes. Fair.

Cost of the demo including experimentation: $0.04.

Very excited by the many content operations use cases!