newsReddit r/artificialTrust 52 · CommunityPublished 12d agoLive · 12d ago
Building an AI voice agent from scratch: the parts that actually took our time
We recently finished our first proper phone-based AI agent and did a postmortem on where the engineering time actually went. It wasn't the LLM. We spent maybe 15% of the time getting the actual conversation behaviour right. The rest went into all the boring stuff around it. The biggest time sinks were: Telephony SIP setup, call routing, dealing with weird edge cases. This took considerably longer than expected. Turn detection
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- PossiblePossibly related (embedding) · 62%stimm-ai/stimm →
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- PossiblePossibly related (embedding) · 49%ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue →
- PossiblePossibly related (embedding) · 56%A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies →
- PossiblePossibly related (embedding) · 49%Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents →
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paperECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex DialoguepaperA Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key TechnologiespaperContinue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents
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repoXposed-Modules-Repo/com.niki914.nexus.agenticpaperA Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key TechnologiesrepoPatterAI/PatterpaperContinue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex AgentspaperECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex DialoguerepoServiceNow/evarepoSirAllap/agentglassrepostimm-ai/stimm