The Method
Not “how to use AI” — how to systematize your judgment so AI makes you more effective, not more reckless.
Amdahl's Law x AI
Why your judgment is your most valuable asset
AI accelerates the parallelizable part — writing code, searching, generating content. Platforms will commoditize this. The real value is in the serial bottleneck: your domain judgment, quality standards, strategic decisions. The stronger AI gets, the more your judgment matters.
Question-Driven Governance
Don't trust unquestioned output
732 tests passed. 0 failures. I was ready to celebrate — and my AI partner said 'Wait. Last time we had all-green tests too, and production broke.' It remembered an incident I'd forgotten. This isn't a tool. It's a partner with memory and the discipline to push back.
Four-Layer Memory Architecture
AI that never forgets your context
Asset Layer (Obsidian) stores knowledge and decisions. Runtime Layer (CLAUDE.md) holds active rules. Enforcement Layer (Hooks) runs mandatory checks in code. Training Layer (Memory) captures feedback that graduates into rules. Cross-session, cross-tool, cross-project.
Self-Evolving Enforcement Layer
Rules that live in code, not documents
10 production hooks run on every operation — from session start to code commit. Every L2+ rule must include a retire-if condition. Rules that don't evolve become shackles. The system watches, learns, and proposes its own upgrades.
Battle-Tested Across Real Products
Not theory — documented across real production
Every methodology claim is backed by a real incident from production development. Bug Confession protocol triggered three times on the same pattern — and evolved from 'fix the bug' to 'eliminate the bug factory.' Challenge protocol activated within minutes of being written. These aren't hypotheticals.