Information filtering
Chief Information Officer — the sensing system.
Noise dies here — only high-quality insight flows downstream.
Personal AI workflow · OCP
Train top-tier AI as partners — a lean, necessary team configuration to pursue a larger vision.
Notion sets direction → Gemini filters signal → Obsidian + NotebookLM compound cognition → Git ships owned domains → Cursor builds product → Hermes distributes → Notion closes the loop.
"AI Agent Team" is how one person runs an OCP — role labels (CIO, CKO, …) map to tools and agents, not a headcount.
Six layers belowSix layers
Expand any layer card for inputs, outputs, tool practices, and iron rules.
Chief Information Officer — the sensing system.
Noise dies here — only high-quality insight flows downstream.
Cross-domain cognitive graph — structure what you actually understand.
Store only internalized cognition — vision and understanding, not hoarding.
Content publishing hub — social amplifies, domains compound.
Social distributes; owned domains hold the asset.
AI employees — the hands that run the pipeline.
Mason directs. Agents execute. Every release needs Mason’s final approval.
AI developer team — the product-building engine.
If it ships as code, it routes through Layer 5 — not content workflows.
One-person ERP — the prefrontal cortex.
Notion sets direction and manages work — it does not touch code.
Layer 4 · Hermes × Qclaw
Hermes Agent (MiniMax) · orchestrated by Qclaw connectors & schedules
Mason is the director. Agents execute. Nothing ships without final approval.
Operating loop
Gate
Does it solve a clear, specific pain point?
If the pain is vague, wait.
Does it integrate cleanly into an existing layer?
Must slot into one of the six layers.
Can I master it in under 2 hours?
Two hours to first useful output.
Does it add complexity without clear ROI?
Complexity tax needs a receipt.
Avoid the "tool collector" trap — master this compact OCP stack.
Notion sets direction; each layer owns one job; Mason only intervenes at decision gates.