Six Dimensions for Evaluating Voice Agent UX (A Framework, Not a Feature List)

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

<p>I was sitting in a demo from the head of architecture when the problem clicked into focus. He was showing how his team had moved everything out of Confluence and into Markdown

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<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

<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

<h1> The Hidden UX Problem in Voice AI: When Should the AI Stop Talking? </h1> <p>One of the hardest parts of building a voice AI product is not making the AI talk.</p> <p>It is

<!-- SC_OFF --><div class="md"><p>Something worth paying attention to when building voice agents: benchmarking every component individually can still leave a voice turn at

<p>Two independent security research groups published this week with findings that land on the same problem from different angles: AI agent skill files are a serious and