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We just deployed a production command center managing 8 concurrent AI voice agents across a service business with nothing but Supabase Edge Functions, VAPI webhooks, and a carefully architected Postgres schema. This article breaks down the exact technical stack we used to build Quiet Hours Valet's QHV Command Center—a 5-page frontend handling real-time agent state, automation triggers, and webhook callbacks—without a single dedicated backend server. If you're scaling voice AI beyond proof-of-concept and need sub-millisecond webhook processing, deterministic agent routing, and audit-clean transaction logs, this is how we solved it with serverless infrastructure.
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