The Knowledge Hub: AI-Operating Knowledge

Seven topics on running AI inside a real business — memory, knowledge flywheels, orchestration, skills, governance, costs, and the open-vs-closed-model question.

Each module is a standalone page. Each carries the date it was last reviewed and a short note on what that edition covers, so you can see how current it is at a glance.

Subscribe to the modules relevant to your work. Skip the ones that aren’t.

The modules

All seven modules are live. Each is a standalone, research-backed page with a “what this edition covers” summary at the top, so you can scan for what’s new without re-reading what hasn’t moved. They are independent — read them in any order.

• AI Memory. The working/persistent boundary, RAG’s limits as memory, and what memory costs at scale.
• The Knowledge Flywheel. How knowledge accumulates in operated systems — the documentation → agent → execution → learning loop, and why flywheels stall.
• Orchestration. Multi-agent coordination — orchestrator, swarm, and hierarchical topologies, and what actually fails in production.
• Skills + Tools. How agents are equipped with capabilities — tool use, the Model Context Protocol, skills, and tool-use governance.
• Governance. Audit trails, escalation thresholds, human-in-the-loop discipline, and the 2026 regulatory picture (EU AI Act, Singapore’s agentic framework).
• Costs. Token economics, the inference cost curve, and operational cost discipline for a system running thousands of calls a month.
• Open vs Closed Models. When to use closed (Claude / GPT / Gemini) vs open-weight (Llama / Mistral / DeepSeek), and the self-hosting break-even.

How the Knowledge Hub works

Modular. Each module is its own page. Read one; skip the rest. No 15,000-word scroll.

Dated. Every module carries the date it was last reviewed. We refresh modules as the research moves — model releases, new benchmarks, regulatory changes — rather than on a fixed treadmill.

Sourced. Every module is research-backed, and the load-bearing figures carry citations to their primary sources.

Yours to choose. Read only the modules relevant to your work — they’re independent, in any order. Follow new editions by RSS, or get the monthly Notes digest.

The Knowledge Hub is how we think out loud about running AI in a real business. The category-definition essay AI-operated vs AI-generated is the companion piece — it names the position the Hub’s research sits inside.