Jev 在实时语音 Agent 里的 9 个决策点
列举语音 AI 中用 Jev 做轮次检测、打断识别、意图分类、路由、转人工、工具选择与回复校验等九类判断。
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.