89 curated builds·evidence labeled
COMMUNITY OBSERVED

Realtime Sales Negotiation Copilot

A live sales assistant that processes audio streams every 4 seconds, predicting the next optimal tactical objection response.

Live Negotiation Copilot

Live Negotiation Copilot. Demonstration video analyzing overseas sales meetings with dynamic strategy card generation.

Overview & Result

Masahiro Chaen built an app that listens to overseas sales meetings every 4 seconds, using Whisper for transcription and Jev for sub-50ms tactical objection classification and response card triggering.

How Jev fits in the loop

  1. Ingest live audio chunks continuously without blocking audio capture.
  2. Transcribe and translate dialogue into structured candidate debate points.
  3. Jev evaluates client intent, purchase friction, and next objection strategy in 45ms.
  4. Display contextual battle cards instantly on the representative's screen.

How to reproduce

  1. Review video showing live English negotiation transcribed and analyzed every 4 seconds.
  2. Pass extracted dialogue turns to Jev Choice to select objection counter-strategies.
  3. Surface matching visual response cards to the sales representative on screen.

Why this build matters

Brings real-time AI assistance into live interpersonal conversation where multi-second LLM generation is completely unusable.

Limitations

  • Requires low-latency speech-to-text pipeline (Whisper / Deepgram).
  • Limited to predefined tactical cards; novel negotiations need human judgment.
  • Author reported community project.

Patterns