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Systems & Laws

18 essays, April 2026 to August 2026. They test Bottleneck Migration (4), Instruments Over Theory (3) and Difficulty Is Load-Bearing (1). 35 claims across 1 of them are checked against a primary source in the public ledger.

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Every essay in this strand

  1. Law IV The Average Is Nobody's Result Of 255 studies on AI-assisted colonoscopy, 21 split the result by who held the scope. They disagree. 35 sourced claims
  2. Law IV Your AI Stack Has Three Bugs Other Fields Already Fixed Your benchmark, your model jury, your agent swarm: three old structures, and the obvious fix is usually wrong.
  3. Law IV Where Your Metrics Fold A metric can be perfectly accurate and still hide the distinction your decision depends on.
  4. Law I Your Benchmark Measures a Sprint. Your Agent Runs a Marathon. An open model looks frontier-grade on the coding leaderboard. On a long job, it does half the leader's work.
  5. Law I How Long Until Your AI Edge Stops Paying? You adopted AI everywhere and it still didn't pay. The scarce layer keeps the money, until its clock runs out.
  6. Law I The Seven-Layer Agent Audit Your agent is starved on one layer of seven. It is rarely the harness everyone argues about.
  7. Law I The Cheaper Fix You Keep Skipping What looks like a deficit is usually good capability, aimed at the wrong target. The cheapest fix is the one nobody can sell you.
  8. Law II The Leverage Hierarchy of Agent Engineering Donella Meadows ranked twelve places to intervene in a system. Most agent teams spend their hours at the bottom of the ladder.
  9. Your AI Agent Stack Is Solving The Wrong Problem The real setup is not MCP servers, skills, memory files, and subagents. It is the contract stack that decides what an agent may know, do, prove, escalate, and lose.
  10. The Engine Underneath Hard Decisions Eight stages turn hidden structure into durable knowledge. Most teams run three of them and call it understanding. The other five are where compounding hides.
  11. The Five Laws of Durable Systems What still has a job after the change? Five tests for seeing what is likely to survive.
  12. The 90-Day Canopy Audit A roadmap can look productive while most of the work is easy to displace. Run the Substrate Map on the last 90 days and force the next planning decision to change.
  13. Start Here: What Survives When The Surface Changes? A short front door to the publication: the lens, the instruments you can run now, and the reader paths.
  14. The Lens Lexicon A free two-page reference card defining the ten load-bearing terms behind the durability lens, with tests, examples, and common confusions.
  15. The Substrate Map A free one-page taxonomy and 10-minute exercise for finding the substrate-vs-canopy ratio in your last 90 days of work.
  16. The Forest Floor Is The Product Most people are optimising for canopy. The work that survives the next five AI releases is built from the forest floor up.
  17. I Read 3,000 Papers Across 12 Fields. Five Patterns Kept Appearing. Every field discovers them independently. Nobody connects them.
  18. Is This Difficulty Load-Bearing? Before you automate anything, ask what the friction was actually doing.

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