Nine decision points for Jev in real-time voice agents
A list of nine judgments Jev can make in voice AI, including turn detection, barge-in detection, intent classification, agent routing, human escalation, tool selection and response verification.
9 use cases for Jev (System 1 Model) in Real-Time Voice AI Agent: - Turn detection: Decide whether the user has finished speaking. - Barge-in detection: Detect whether incoming speech is a real interruption or just a backchannel. - Intent classification: Identify the user's intent from the conversation. - Agent routing: Route the conversation to the right specialized agent. - Human escalation: Decide when the conversation should be handed off to a human. - Confirmation detection: Decide whether a sensitive or ambiguous action needs confirmation. - Tool selection: Decide which tool or API should be invoked next. - Response verification: Check whether an LLM response is safe and appropriate to speak. - Conversation state: Determine the next state or action in a voice conversation.