CONTROLBusiness workflows
Live Sales Call Analyzer
This project uses Jev, an AI model that makes decisions and classifies things, to analyze live sales calls by dissecting conversations, identifying key deal signals, and triggering actions to assist sellers.
SignalYou give it a situation and a set of questions, it answers with a pick and a confidence score.
Pattern↑ Jev AI decision engine
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.