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I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses.What moved the needle:Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection.The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience.STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural conversation.TTFT dominates everything. In voice, the first token is the critical path. Groq’s ~80ms TTFT was the single biggest win.Geography matters more than prompts. Colocate everything or you lose before you start.GitHub Repo: 
<a href="https:&#x2F;&#x2F;github.com&#x2F;NickTikhonov&#x2F;shuo" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;NickTikhonov&#x2F;shuo</a>Follow whatever I next tinker with: <a href="https:&#x2F;&#x2F;x.com&#x2F;nick_tikhonov" rel="nofollow">https:&#x2F;&#x2F;x.com&#x2F;nick_tikhonov</a>

Show HN: I built a sub-500ms latency voice agent from scratch

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