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Articles

  • Real-Time Voice AI Agent Frameworks in Production: Comparing LiveKit Agents, Pipecat, OpenAI Realtime API, and Ultravox

    Real-Time Voice AI Agent Frameworks in Production: Comparing LiveKit Agents, Pipecat, OpenAI Realtime API, and Ultravox Deploying conversational voice agents in production requires solving a fundamental physics and networking problem: human conversational turn-taking occurs within an average gap of 200 to 300 milliseconds. When an artificial conversational agent exceeds 600 to 800 milliseconds of round-trip latency, users perceive the interaction as sluggish, talk over the assistant, or experie

    1 min

  • Real-Time Voice Agent Architecture: WebRTC, Cascaded Pipelines vs. Native Speech-to-Speech, and Sub-500ms Latency Budgets

    Building production-grade real-time voice AI systems requires engineering around a strict physical constraint: human conversational cadence. In natural human dialogue, the typical gap between turns ranges from 200 to 300 milliseconds. When an interactive voice agent incurs a total round-trip latency above 700 milliseconds, users perceive the interaction as sluggish. When latency exceeds 1,000 milliseconds, conversational dynamics collapse into frequent interruptions, speech collisions, and awkwa

    1 min