Killing Voice AI Lag: The Pre-Warming Trick

<p>Most voice agents decide you are done talking by measuring silence. Voice activity detection flags the audio as speech or not speech, a timer runs during the not-speech, and

<p>In 1993, Jakob Nielsen wrote three numbers that have quietly governed every UI ever since.</p> <p>0.1 second. 1 second. 10 seconds.</p> <p>Under 100 milliseconds, an interface

<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>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>I've been running <a href="https://github.com/openclaw/openclaw" rel="noopener noreferrer">OpenClaw</a> as my personal AI assistant for a while — text-based, the usual way. It

<p><em>By <a href="https://parvejshah.com" rel="noopener noreferrer">Parvej Shah</a> — Full-Stack Web Developer &amp; AI Systems Engineer based in Dhaka, Bangladesh.</em></p>

<p>Most voice AI teams optimize for one thing: speed. Fewer are asking what happens when the network itself is the problem, not the model.</p> <p>We wrote up an approach to this:

<p>Hey DEV Community! 👋</p> <p>Managing customer support and recovering abandoned carts for e-commerce stores using traditional text-only chatbots often feels clunky. Customers