Hybrid Architecture: The PACE Plan in Action

The Instructor's Perspective

Reliability is everything. In the Army, we use PACE plans (Primary, Alternate, Contingency, Emergency) for communications. We are applying the same framework to our AI strategy to ensure we have a “manageable mess” that works even when things go sideways.

The Strategy: Hybrid Integration

Our architecture doesn’t rely on just one brain. We use a combination of Local (Primary) and Cloud (Alternate) AI, orchestrated through a Command-Line Interface (Gemini CLI) that has direct access to our Obsidian Vault (Knowledge Base).

The PACE Plan Layers

  1. Primary (P): Local AI (Ollama)

    • Hardware: Intel Arc (Meteor Lake) iGPU on the i9 Ultra.
    • Software: Containerized SYCL (IPEX-LLM).
    • Model: Qwen 2.5 Coder 7B.
    • Use Case: Tactical coding, local summarization, private brainstorming.
  2. Alternate (A): Cloud AI (Gemini / Claude)

    • Endpoint: Google Gemini / Anthropic Claude.
    • Use Case: High-complexity synthesis, vault-wide strategy, complex formatting.
  3. Contingency (C): Manual SYCL / Secondary Nodes

    • Fallback: Manual llama.cpp builds or secondary servers (e.g., Sterling).
  4. Emergency (E): Human Intel & Physical Reference

    • Fallback: The NetYeti himself and his shelf of O’Reilly books.

Integration Architecture: The “Orchestrator”

The Gemini CLI acts as our tactical operations center (TOC). It has the ability to:

  • Read/Write: Directly interact with the Obsidian .md files.
  • Search: Grep through the Knowledge Base to find synergies.
  • Execute: Run shell commands to check system status or deploy containers.
  • Delegate: While the CLI is “Cloud-Powered” (Alternate), it can send commands to the “Local Troops” (Ollama) via API calls.

Knowledge Check: Why Hybrid?

  • Why is it important to have the Primary (P) layer be Local instead of Cloud-based?
  • How does the Orchestrator (CLI) help maintain “Signal Discipline”?

Related: AI Command Center, AI Education Project, AI Safety SOP