01 / Challenge
The constraint behind the architecture.
A voice experience can feel slow even when every individual model benchmark looks acceptable. Turn detection, network time, context assembly, synthesis startup and playback all compound.
02 / Architecture
The decisions that changed the system.
- Treat latency as an end-to-end budget with instrumentation at each stage.
- Begin useful work on partial input rather than waiting for a complete utterance.
- Preserve conversational context without rebuilding the full state on every short generation.
- Route failures and uncertainty into explicit fallback behavior.
03 / Outcome
What the work established.
The work provides a foundation for low-latency voice and translation products where the runtime—not only the model—defines quality.