This essay walks through the full build: why voice agents are deceptively hard, how the turn-taking loop works, how I wired together STT, LLM, and TTS into a streaming pipeline, and how geography and model selection made the biggest difference. Along the way, you can listen to audio demos and play with interactive diagrams of the architecture.
I wish the two weren't so tightly coupled but there's probably a reason for that, that has
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unrelated function bar.
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