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They must coordinate listening, response generation, speech playback, and tool outcomes. Fast conversation should not come at the cost of acting on partial input or claiming an operation succeeded before it is verified.

Key takeaways

• Use stable interpretations for consequential actions.
• Measure the full audio and tool path.
• Track cancellation and external state explicitly.

Separate the audio loop from consequential state changes. Partial transcripts can change as more speech arrives. Use stable interpretations and appropriate confirmation before actions that affect records, accounts, or other people. Measure end-to-end delay, including endpoint detection, recognition, retrieval, tool execution, and audio playback. A low model response time does not establish a low conversational delay if another stage dominates. Handle interruption and cancellation across the whole pipeline. Stopping speech playback does not necessarily cancel an already dispatched tool operation. Track action state explicitly and reconcile uncertain outcomes before retrying. Test adverse conditions: silence, overlapping speakers, dropped connections, ambiguous names, and late tool results. Provide a usable handoff and an honest status when a task cannot be completed. Protect recordings and transcripts according to the actual access and retention policy.

1. Imagine a voice agent beginning to update an appointment while the user says “Stop.”
2. Stop playback and check the action state. If the update already completed, explain that and use the appropriate correction workflow.
3. Do not claim cancellation solely because the audio stopped, and do not repeat the action after reconnecting without checking the record.

The hypothetical scenario tests the relationship between conversation and actual side effects.