A demo of a support ticket triage tool built with Jev that determines team assignment, urgency, severity, and customer mood in a single call.
To actually test it I built a support ticket triage tool. A message comes in and Jev works out which team it belongs to, how urgent it is, how severe, and the customer's mood. All in a single call. Clip below.
The author shares a Jev usage insight: it seemed tricky at first, but clicked when framed as 'not letting the AI write text.' Using inquiry handling as an example, the conventional approach dumps everything on GPT or Claude to analyze, while Jev takes a different approach.
The prototype uses AI to estimate hesitation or interest from cursor back-and-forth movements or lingering before clicking, observing customer demeanor and supplementing explanations or suggesting comparisons.
The author built an e-commerce real-time customer service demo using Jev and gpt-live-1, which instantly suggests recommended products based on the user's speech during a conversation, delivering a great experience.
