dev.toFactualityFactuality is a Premium featureCenterCenterBased on the outlet's overall lean; article framing check pending

When building conversational Voice AI, developers obsess over TTFT (Time to First Token) of LLMs. But when real users speak to real agents, the most jarring failure mode isn't a 500ms response delay—it is conversational collision . Humans interrupt each other within 150ms to 200ms of vocal intent. If an agent takes 800ms+ to acknowledge that you spoke and stop its own audio playback, the illusion of intelligence collapses instantly. The agent feels deaf, stubborn, and robotic. Over the past months, I engineered and open-sourced HardCall , an industrial voice cockpit that drives interruption…

22 hours ago · dev.to · You are reading this one

dev.toFactualityFactuality is a Premium featureCenterCenterBased on the outlet's overall lean; article framing check pending

Most AI repositories trending today are one-off prompt wrappers: they look impressive in 10-second cherry-picked screen recordings, but collapse under production load, network latency, or unexpected real-world edge cases. Over the past few months, I set out to build and open-source three production-grade engineering systems designed for real-world stress, high reliability, and mathematical determinism. Here is a breakdown of what I built, how each system works under the hood, and how you can run them today. 1. 🎙️ HardCall — 52ms Voice Interruption & Stress Cockpit Building conversational…

2 days ago · dev.to