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Jev by TypeSafe AI: Real-Time Decision Making for Agent Assist

This video demonstrates using TypeSafe AI's Jev model with WebRTC and Deepgram to provide real-time decision-making and compliance guidance for human customer service agents.

Original by TechnoCoupleIntegrationsIntermediate5 min 14 sec Published Source reviewed

Before you press play

What you’ll find in the video

  1. Jev evaluates typed questions directly to produce structured values, probabilities, and confidence rather than generating freeform text.
  2. The architecture streams call audio over WebRTC to Deepgram for real-time transcription, feeding transcripts into Jev to check compliance rules dynamically.
  3. A live customer support demonstration illustrates Jev updating an agent-assist interface as disclosures, troubleshooting steps, and customer verification occur.
Worth knowing

Gemini-assisted video/transcript review. The video presents an illustrative application demonstration rather than a rigorous or controlled evaluation of accuracy, latency, or calibration.

Jev by TypeSafe AI: Real-Time Decision Making for Agent Assist