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Jev Sales Copilot

A live sales-call copilot that asks Jev about 37 atomic questions per utterance in one request, updating a closing-probability chart, live signals, call stage, objection state and next-best-move card within a few hundred milliseconds.
Stars
9
Language
Python
Reading time
2 min
Published by
Community
Author
moritzkremb
Last verified
Oct 2026

Live sales-call copilot on TypeSafe Jev: per-utterance closing probability, signals and next-best-move; syncs to a real recorded call; tailored phrasing via Claude Haiku 4.5, verified by Jev

Forks
5
Last pushed
Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

Highlights

  • One Jev request per utterance answers about 37 atomic questions: closing probability, signals, stage, objection and next move.
  • A 15-move playbook supplies the coaching text; Jev picks the move and code shows the phrasing, gated on confidence.
  • The only generative call is optional phrasing, which Claude Haiku 4.5 rewrites and Jev verifies before it can be shown.
  • Three hand-written replay calls ship with the repo: good ends near 90%, bad near 6%, mixed dips to 16% and recovers to about 80%.
  • A real CloudTalk discovery call, 9 minutes and 48 utterances, is transcribed locally with faster-whisper and aligned to YouTube.

Watch out

The repository carries no licence, so reuse rights are unclear. It needs Python 3.13+ and uv plus a TypeSafe key; live mic mode is Chrome-only with no speaker diarization, and the optional tailored phrasing additionally needs an Anthropic key, though keys stay server-side.

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