Building a live sales call analyzer with Jev
A single evaluate() call runs 18 questions in parallel, classifying objections and competitor signals, and high-confidence results automatically trigger scripts or pull in human support.
Jev is a new kind of AI model. Unlike an LLM, it doesn't generate text, it makes decisions and classifies things. You give it a situation and a set of questions, it answers with a pick and a confidence score. No essay and less room for hallucination. That's what makes it lightning fast and absurdly cheap. $0.042 per million input tokens and output is free. I wanted to take advantage of its near real time speed, so I built a live sales call analyzer. It dissects every word of the conversation, finds key deal signals, then takes action to help the human or AI seller win. Here's how it works: > One Jev evaluate() call continuously runs 18 questions in parallel (TypeSafe calls this "speculative fan-out") > It classifies objections, competitor mentions, qualification signals, and more > High-confidence outputs trigger actions, like grabbing scripts and battle cards, or getting a human sales engineer to jump on the call Jev is free on Vercel AI Gateway this weekend. Happy building.