JEV will have a MASSIVE impact for Customer experience AI

@bhatsy Ashish Bhatia · Sep 21, 2026 · case #730881 · listed via Jev Hub

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

Built a healthcare patient-access voice agent on GPT-Live-1 plus Jev, using Jev for intent classification and next-action decisions on every conversation turn.

The original post

JEV will have a MASSIVE impact for Customer experience AI use cases where intent classification and next action is part of every turn of the conversation. I built a healthcare patient-access voice agent on GPT-Live-1 + @typesafeai JEV. Caller: "I'm having chest pain." The

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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 agents & workflows, classification & data extraction, video, animation & media. 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 agents & workflows page.

🤖 Agents & workflows 🗂️ Classification & data extraction 🎬 Video, animation & media