Pitfalls of Deploying Outbound Voice Agents
techpotions · reddit · 2026-07-19
The author shares lessons learned from building an outbound AI voice agent for clients: the model itself isn't the hardest part; the deployment details are what truly consume time.
Core issues include:
- Latency: Silence exceeding 1 second causes users to hang up or talk over the agent.
- Interruption handling: Real users interject frequently; handling barge-in is more critical than having a "more natural voice."
- Telephony complexity: The AI stack and telephony stack have completely different failure modes and require separate observability setups.
- The gap from demo to production: A demo can be built in a day, but real-world deployment often requires weeks of recording playback and edge-case patching.
The author also expresses interest in connecting with others building voice agents, particularly to discuss major sources of latency.
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