CallMissed Blog
Insights on AI communication, voice agents, WhatsApp automation, and the future of customer engagement.
Real-Time Voice Translation: The State of the Art
Real-time voice translation has been "two years away" for about a decade. In 2026 it finally landed in production — not as a perfect Star Trek universal translator, but as a set of constrained, latency-aware pipelines that work well enough for international meetings, customer support, and consumer a…
Interruption Handling in Voice Agents: The Hard Problem
The single most common reason voice agents feel "robotic" is not voice quality, latency, or even reasoning quality. It is interruption handling. A human conversation partner stops talking the moment you start. A bad voice agent talks over you, ignores you, or restarts in confusion. Interruption is t…
VAD and Endpointing: Why Your Voice Agent Feels Slow
If your voice agent feels sluggish, the culprit is almost never the LLM. It is endpointing — the silence-detection logic that decides "the user is done speaking, start processing." Most teams over-engineer their LLM stack and under-engineer their VAD and endpointing, then wonder why their pipeline f…
WebRTC for Voice AI: A Practical Primer
WebRTC is the transport that almost every browser-based voice AI runs on. It is also the layer that most application teams treat as a black box until something breaks at 3am. This primer is the minimum viable understanding of WebRTC you need to ship voice agents in 2026 — enough to design well, debu…