# Building a Multi-Agent Valet Trash Command Center: Supabase Edge Functions, VAPI, and PostgreSQL at Scale

> Source: <https://dev.to/domoniqueluchin/building-a-multi-agent-valet-trash-command-center-supabase-edge-functions-vapi-and-postgresql-at-3k79>
> Published: 2026-09-26 10:00:08+00:00

OPENING PARAGRAPH:

We built a production command center for Quiet Hours Valet that orchestrates 8 concurrent AI voice agents, 8 automation scenarios, and real-time customer management across a vertically integrated real estate and services empire—all on Supabase, VAPI, and self-hosted infrastructure. This article breaks down the architecture: a 5-page Next.js frontend, 8-table Postgres schema for scheduling and routing, Supabase Edge Functions handling VAPI webhook callbacks, and the orchestration logic that lets a single operator manage multiple autonomous agents simultaneously. If you're scaling voice AI beyond proof-of-concept and need webhooks to reliably trigger database mutations, state management without Lambda overhead, and a schema that handles concurrent agent requests, this build is a technical reference.