Jev doesn't write; it reads a situation and returns a number. For example, 100 support emails were sorted in 1.4 seconds, with a bigger model as backup, 96 were correct for about 7 cents.
Jev can't write, it reads a situation, that's the point You give it the choices, it hands back a number 0.94 urgent 88% engineering About 200 milliseconds 100 support emails was sorted in 1.4 seconds With a bigger model as backup, 96 came out right, for about 7 cents It's
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.
