Brian West: Every voice AI demo ends at deployment. This one starts after the call.

In this live demo, Brian West shows how SignalWire’s post-conversation payload turns a completed Voice AI session into a full operational timeline. Using real open-source demos like GoAir and Holy Guacamole, he walks through the JSON payload generated at the end of a call and shows how it can be used to inspect transcripts, response timing, ASR, LLM, and TTS latency, barge-in behavior, SWAIG function calls, global_data snapshots, and state changes across the entire conversation.
The demo also introduces the open-source PostPrompt Viewer, a visual tool for analyzing completed Voice AI calls. Attendees will see how teams can turn raw post-call payloads into practical observability metrics like P95 latency, barge-in rate, tool execution overhead, and response verbosity.
A transcript tells you what happened on a call. SignalWire’s post-conversation payload helps show why it happened, where time was spent, and how the AI moved through the conversation. This is what carrier-grade Voice AI observability looks like after deployment.

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