The post shows how a free Jev lab lets AI read a ticket state and answer three typed questions in one call: urgency, owning team, and action timeframe—a clean blueprint for agent builders.
Jev + LLMs is f*cking insane... this free Jev lab is a clean blueprint for agent builders one support ticket enters. Jev reads the state and answers three typed questions in one call: noul → is it urgent? choice → which team owns it? score → how soon does it need action?
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.
