Building a Vertically Integrated AI Stack on Supabase and Asterisk: How Load Bearing Empire Unified 6 Businesses

说明与用途

在 Supabase 和 Asterisk 上构建垂直集成 AI 堆栈，统一六个业务线并将 AWS 成本降低 60%。

问题

Running multiple service lines across different tech stacks caused high integration costs and vendor lock‑in.

结果

The unified stack cut AWS costs by 60%, removed vendor lock‑in, and enabled rapid deployment across six business lines.

工作流

• Deploy Supabase instance (project ID: whxtjboruayowkqyjvcq).
• Set up 26 VAPI agents for voice and AI interactions.
• Install Asterisk 18.10 PBX on Vultr.
• Create JARVIS Brain Router to orchestrate inbound calls across businesses.
• Design 98 relational tables for cross‑domain data.
• Implement 42 Edge Functions for real-time business logic.
• Replace Twilio, SendGrid, and Make.com with the new stack.

证据

We eliminated Twilio, SendGrid, and Make.com entirely, replacing them with a single Supabase instance (project ID: whxtjboruayowkqyjvcq), 26 VAPI agents, and Asterisk 18.10 PBX hosted on Vultr.

来源

If you're running a portfolio of AI-first businesses and want to ship faster while cutting AWS bills by 60%, this is the stack that made it possible.

来源