The caller heard silence for two seconds before the agent spoke

<p>Everyone evaluating AI avatar platforms focuses on voice quality. The bigger UX killer is almost always latency — and it's a harder problem than picking a good TTS

<p>Most developers underestimate how hard voice AI actually is.</p> <p>To build a production-ready calling agent, you need to integrate:</p> <p>– SIP signalling</p> <p>– Real-time

<p>Last week I was stitching together Serper for web + Tavily for synthesis + a YouTube transcript API just to answer one chat question. Every category was a new API contract, a

<p>On the morning of June 3rd, a customer on a live call sat through 1.4 seconds of dead air after she finished a sentence, long enough that she said "hello?" before the agent

<p>Most AI tutors today feel like glorified chatbots with a text-to-speech layer slapped on top. But what if students could actually <em>talk</em> to their tutor, pause

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs

<p>When I was building <a href="https://intervu.dev" rel="noopener noreferrer">intervu.dev</a>, an AI mock coding interviewer that conducts full voice interviews in the browser,

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top