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How to Build a Voice AI Agent for HVAC Service Calls: A Practical Guide
How-ToWeb Development

How to Build a Voice AI Agent for HVAC Service Calls: A Practical Guide

via Dev.to WebdevCallStack Tech1mo ago

How to Build a Voice AI Agent for HVAC Service Calls: A Practical Guide TL;DR Most HVAC dispatch systems fail when voice calls drop mid-booking or technicians get routed to wrong jobs. Build a voice AI agent using vapi for conversational intelligence and Twilio for call routing. The agent handles intent recognition (emergency vs. maintenance), extracts service details via speech-to-text, and triggers technician dispatch through function calls. Result: 40% faster scheduling, zero manual data entry, fewer misrouted calls. Prerequisites API Keys & Credentials You need a VAPI API key (get it from your vapi dashboard). Generate a Twilio Account SID and Auth Token from your Twilio console. Store both in .env as VAPI_API_KEY , TWILIO_ACCOUNT_SID , and TWILIO_AUTH_TOKEN . System Requirements Node.js 16+ with npm or yarn. A Twilio phone number (inbound calls must route to your server). A public HTTPS endpoint (ngrok works for local testing; production requires a real domain). Third-Party Integr

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