I’ve been experimenting with Jev from TypeSafe AI to build

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

Built an X feed filter where Jev scores each post for niche relevance and reply value before the user decides to engage.

The original post

I’ve been experimenting with Jev from TypeSafe AI to build something for my X feed. The idea is simple: I scroll → Jev evaluates the post → I get a personalized recommendation. Is it relevant to my niche? Can I actually add something? Is the audience worth engaging with?

Engagement when collected

Views610
Likes5
Bookmarks0
Reposts0
Replies0
Quotes0

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 coding & developer tools, classification & data extraction. 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 coding & developer tools page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post