Live sales call copilot that scores the deal while you talk
Moritz Kremb built a sales copilot on JEV. It listens to the sales call live, tracks what stage you're in, flags objections, and puts live close-probability signals on screen while the call is still happening.
Original post "I built a Sales Copilot using Jev → Listens to sales call live → Tells you what to say next → Helps you follow the script and handle objections → Shows you what stage of the call you're in → Gives you live signals and probability of closing Demo below on a recorded sales [call]" Read the original post on X
The numbers
| metric | reported |
|---|---|
| what it does | live call listening, next-line suggestions, objection handling, call-stage tracking, close probability |
| reach | 20,346 impressions, 196 likes, 378 bookmarks |
Why JEV is the right model here
A live call is a stream of judgment calls, not a writing task. What stage is this call in. Is that an objection. Is this deal trending closed. Each one is a classification with a small set of answers and a probability attached, which is exactly the shape JEV is built for. It can run on every turn of the conversation at near-zero cost, where a generative model would be too slow and too expensive to run continuously.
One honest split: the "what to say next" suggestions are the LLM layer. The stage tracking, objection detection, and close probability are the JEV layer. The copilot works because both run together.
How to copy it
- Transcribe the call live and define your call stages as a fixed list.
- On every exchange, classify the stage and flag objections.
- Score close probability continuously and surface it as a live signal, not an after-call report.
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