Building a Unified Command Center: How Load Bearing Empire Scaled 8 AI Voice Agents on Supabase Edge Functions and VAPI

OPENING:

We built the Quiet Hours Valet Command Center—a production system managing 8 concurrent AI voice agents, 5 frontend dashboards, and 8 automation workflows—entirely on Supabase Edge Functions, VAPI webhooks, and a self-hosted Postgres schema. This article walks through our architecture: how we structured an 8-table relational schema to handle real-time agent state, call routing, and trash collection automation; how Edge Functions handle VAPI webhook payloads with sub-100ms latency; and how we deployed a multi-tenant frontend to Vercel that serves live agent telemetry to dispatch teams. If you're running voice AI at scale on a bootstrapped budget, this is the technical breakdown of what actually ships.