I've added @typesafeai 's Jev to OpenWhisper Meeting Mode.

@dtfiori Dylan Fiori · Sep 19, 2026 · case #571398 · listed via Jev Hub

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

Added Jev to OpenWhisper Meeting Mode as a fast judgment layer that returns probabilities and labels for detecting topic changes and notetaker commands.

The original post

I've added @typesafeai 's Jev to OpenWhisper Meeting Mode. We use Jev as a fast judgment layer: it returns probabilities or predefined labels that OpenWhisper acts on using Jev’s structured-decision model. We use it to detect topic changes, recognize notetaker commands, and

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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. 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