had to try something with jev so i tried what you'd expect

The clip posted with this case (hosted by the collector’s media CDN); original post on X · 12s.

Scored every word in a text with Jev for semantic significance from 1 to 5, then graphed the high-scoring ones.

The original post

had to try something with jev so i tried what you'd expect from me: graph extraction

- score every word with semantic significance (1-5)

- also tag relevant words with ID

- unique list of high scoring words

- graph of high scoring words

Engagement when collected

Views20.1K
Likes229
Bookmarks237
Reposts12
Replies24
Quotes3

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. 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.

Related Jev cases

Keep browsing: all 1173 Jev cases · more from @yoheinakajima · builders · what Jev is

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