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 secPublished
Jev evaluates typed questions directly to produce structured values, probabilities, and confidence rather than generating freeform text.
The architecture streams call audio over WebRTC to Deepgram for real-time transcription, feeding transcripts into Jev to check compliance rules dynamically.
A live customer support demonstration illustrates Jev updating an agent-assist interface as disclosures, troubleshooting steps, and customer verification occur.
Worth knowing
The video presents an illustrative application demonstration rather than a rigorous or controlled evaluation of accuracy, latency, or calibration.