Jev in production › Writing and content scoring

Sales Copilot (moritzkremb)

Live sales-call copilot asks Jev about 37 typed questions per utterance to update closing probability and coach next moves in real time (author).

Open on GitHub ↗

The source publishes no measured number.
Use
Writing and content scoring
Industry
Productivity
Form
Open-source tool
Stage
In production
Listed
2026-09-25
Found via
github
Repository
moritzkremb/jev-sales-copilot
Stars
9
Forks
5
Last push
2026-09-23
Language
Python
License
none stated

The README opens with

A live sales-call copilot. As each utterance of a call arrives (replayed transcript, typed text, or the browser microphone), the app asks TypeSafe's Jev (jev-1.13.0, a System One model that returns typed decisions instead of text) ~37 atomic questions in one request, and within a few hundred milliseconds updates:

1. Closing probability (0–100 %) as a live line chart — the hero visual. 2. Live signals — what is going well / badly right now (buying signal, pain identified, budget discussed, decision maker, timeline, objection open, competitor, buyer confusion, rep pitching, rep talking too much, …). 3. Call stage (opening, discovery, qualification, pitch/demo, objection handling, pricing, closing, next steps). 4. Open objection type (price,...

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For the project's own README, linking back here:

Listed in Jev in production

Also used for writing and content scoring