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Create a Voice AI Solution for Real Estate Lead Qualification: My Journey

DEV Community·CallStack Tech·21 days ago
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Create a Voice AI Solution for Real Estate Lead Qualification: My Journey TL;DR Most real estate teams waste 40% of lead qualification time on manual calls. I built a voice AI agent using VAPI's conversational intelligence and Twilio's carrier-grade telephony to auto-qualify inbound leads in real-time. The system scores property interest, budget range, and timeline via natural language processing—no human touch until hot leads surface. Result: 3x faster qualification pipeline, 60% cost reduction on junior agent hours. Prerequisites API Keys & Credentials You'll need a VAPI API key (grab it from your dashboard at vapi.ai). Generate a Twilio Account SID and Auth Token from console.twilio.com—these authenticate all phone integrations. Store both in a .env file using process.env to avoid hardcoding secrets. System Requirements Node.js 16+ (for async/await and fetch support). A webhook receiver (ngrok, Cloudflare Tunnel, or deployed server) to handle inbound call events from VAPI and Twilio.…

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