At Jev, we designed a sensor that can observe conversations
Built a sensor that tracks a conversation in real time, using Jev to update explore/converge, resolved/open, and agreed/unagreed states after each utterance.
The original post, translated
At Jev, we designed a sensor that can observe conversations in real time.
Every time you speak.
·Explore convergence
Resolve pending issues
Disagree disagree
Update and make the meeting status visible
It can also be used for real-time analysis of user interviews.
Show the original post in its source language ▾
Jevで、会話をリアルタイムに観測するセンサーを試作しました。
発言のたびに
・探索 ↔ 収束
・解消 ↔ 未決
・未合意 ↔ 合意
を更新し、会議の状況を可視化します
ユーザーインタビューのリアルタイム解析などにも使えそう。
The post above is a machine translation from ja; the untranslated text is in the fold-out.
Engagement when collected
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 general Jev builds. 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. Browse the full case library for the work it sits next to.
Keep browsing: all 1173 Jev cases · more from @tsuyoshi_osiire · builders · what Jev is
Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post