Building a Multi-Agent AI Command Center: Load Bearing Empire's Quiet Hours Valet Stack on Supabase + VAPI

When you're running valet trash operations across multiple properties, coordination breaks down without automation. At Load Bearing Empire, we solved this by building the Quiet Hours Valet Command Center—a full-stack platform handling 8 concurrent AI voice agents, 8 automation workflows, and real-time operational visibility. In this post, I'll walk through the technical architecture: a React frontend deployed on Vercel, a Supabase Edge Function handling VAPI webhook integrations, an 8-table PostgreSQL schema managing jobs and agent state, and the operational patterns that let a small team scale trash valet services across multiple markets. If you're building AI-powered logistics or field service dispatch, this stack pattern is directly replicable.