Building a Multi-Agent Voice Command Center on Supabase Edge Functions and VAPI

When you're running eight concurrent AI voice agents across residential and commercial properties, you need infrastructure that doesn't break. We built the Quiet Hours Valet Command Center—a production-grade dispatch system handling real-time voice interactions, automation workflows, and client management—entirely on Supabase Edge Functions, VAPI's voice API, and a self-hosted Postgres schema. This article walks through the technical architecture: how we structured an 8-table relational schema to track voice agent states, built five frontend pages on Vercel to manage 8 automation scenarios, and engineered Supabase Edge Functions as webhook handlers for asynchronous VAPI call processing. If you're integrating AI voice APIs into a scaling SaaS or operations platform, this breakdown covers the exact patterns that let us go from prototype to production handling real customer interactions.