Building a Multi-Agent Voice Command Center: Load Bearing Empire's QHV Stack on Supabase, VAPI, and Vercel

说明与用途

使用 Supabase Edge Functions、VAPI 和 Vercel 构建的语音指令中心，支持 8 个 AI 代理和 8 条工作流，实现跨界面实时状态一致性。

问题

Managing multiple AI agents and automation workflows for voice‑driven operations while ensuring real‑time state consistency across several front‑end interfaces.

结果

The architecture enabled reliable, concurrent voice‑driven workflows with consistent state across multiple interfaces, moving the service from proof‑of‑concept to production.

工作流

• Design an 8‑table Postgres schema to coordinate operations and a single webhook listener
• Implement VAPI agent callbacks that trigger state mutations
• Deploy Supabase Edge Functions to process callbacks and update state
• Use Vercel for front‑end interfaces that consume real‑time state
• Integrate with a self‑hosted Asterisk PBX backbone for voice routing

证据

We built a production voice command center handling 8 concurrent AI agents, 8 automation workflows, and real‑time state management across 5 frontend interfaces—all on Supabase Edge Functions, VAPI's voice API, and Vercel deployments.

来源

how we designed an 8-table Postgres schema to coordinate valet trash operations, real estate wholesaling, and credit repair workflows through a single webhook listener; how we structured VAPI agent callbacks to trigger state mutations without race conditions; and the specific infrastructure decisions that let us ship this from a self-hosted Asterisk PBX backbone.

来源