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We built a production voice command center handling 8 concurrent AI agents, 8 automation workflows, and 5 frontend interfaces in 6 weeks using Supabase Edge Functions as our VAPI webhook processor. This technical deep-dive covers our Postgres schema design (8 tables, normalized for agent state management), real-time webhook handling at the Edge, and the architectural decisions that let us scale from a single valet-trash operation to a command center serving Load Bearing's entire portfolio—real estate wholesaling, demolition, credit repair, and mineral rights. If you're building multi-agent systems and wondering how to handle voice webhooks without managing servers, or how to structure your database for complex automation scenarios, this is for you.
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