An AI Voice Agent Is Just Two Webhooks: Wiring Retell to n8n in Production

<p>I spent <strong>3-4 weeks</strong> building an AI voice agent that cold-calls HVAC owners for me. Real outbound. Real objection handling. Real appointments booked. When we

<p>I review a lot of webhook handlers. Roughly <strong>3 out of 5 either have a subtle signature-verification bug</strong> — or someone disabled verification entirely "to make it

<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

<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>Every browser agent does the same expensive thing: dump the entire DOM into an LLM, ask "what should I click?", and repeat for every step. A 10-step workflow costs ~$4 in LLM

<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<p>Most multi-tenant SaaS apps that send email do it from one shared identity. There's a <code>notifications@yourapp.com</code>, every customer's mail flows through it, and the