Ep 30: Grand Finale — Enterprise AI Agent Platform Architecture Reference

graph LR
    M1["Module 1
Foundations"] --> M2["Module 2
Logic & Data"]
    M2 --> M3["Module 3
AI Agents"]
    M3 --> M4["Module 4
Enterprise RAG"]
    M4 --> M5["Module 5
MCP Ecosystem"]
    M5 --> M6["Module 6
Production"]
    style M1 fill:#3b82f6,stroke:#2563eb,color:#fff
    style M3 fill:#8b5cf6,stroke:#7c3aed,color:#fff
    style M5 fill:#d946ef,stroke:#c026d3,color:#fff
    style M6 fill:#ec4899,stroke:#db2777,color:#fff

graph TB
    subgraph "Gateway Layer"
        Web[🌐 Web Chat] & TG[📱 Telegram] & SL[💬 Slack] & API[🔗 REST API] & MCP_IN[🔌 MCP Server]
    end
    subgraph "Agent Layer"
        Sup["👑 Supervisor Agent"]
        Sup --> CX["🤖 Support"] & Dev["🤖 Dev"] & Biz["🤖 Business"] & RAG["🤖 Knowledge"]
    end
    subgraph "Tool Layer"
        GH[🐙 GitHub MCP] & DB[🐘 DB MCP] & VS[🔍 Vector Store] & Mail[📧 SMTP]
    end
    subgraph "Data Layer"
        PG[(PostgreSQL)] & QD[(Qdrant)] & Redis[(Redis)]
    end
    subgraph "Ops Layer"
        Git[📦 Git] & Health[💓 Health] & Alert[🚨 Alerts]
    end
    Web & TG & SL & API & MCP_IN --> Sup
    CX & Dev & Biz & RAG --> GH & DB & VS & Mail
    GH & DB & VS & Mail --> PG & QD & Redis
    style Sup fill:#ff6d5b,stroke:#e55a4e,color:#fff