1. Pick a mode
Experiment with all three modes. Record the same scenario in each and compare response time and caller satisfaction before committing to one.
2. Choose a transcriber (Pipeline only)
3. Select an LLM model
If speed is critical, use GPT-5 Realtime (great for speech-to-speech) or Gemini Flash 2.0/2.5 (great with Dualplex). For richer reasoning, use GPT-4o or GPT-5 Mini and offset the higher latency with filler audio.
4. Noise cancellation
- Turn ON when callers are on speakerphone or in noisy environments for cleaner transcription.
- Turn OFF if words are being clipped or the assistant is missing parts of what callers say.
If your assistant isn’t hearing callers clearly, try disabling noise cancellation first.
5. Conversation timers
Test with real calls — too low can interrupt callers, too high leaves awkward gaps.
6. Initial message
7. Ambient sound
Ambient sound adds subtle background noise under the assistant’s voice to mask processing delays and create a more natural audio experience. It is enabled by default.If your assistant isn’t hearing callers well, try turning off ambient sound or lowering its volume.
8. Endpointing sensitivity
Control when your assistant starts talking after a caller finishes speaking.9. Debug with the call transcript
If something isn’t working as expected:1
Go to Call history
Navigate to the Call history page in your dashboard.
2
Open the last test call
Click on the most recent call you tested.
3
Review the transcript
The call transcript includes all function calls and their parameters, making it easy to spot where the assistant went off-track.