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How to ThinkIn the Age of AI

Typed Frontmatter

YAML metadata at the top of markdown files that follows a defined schema. Each file declares its type (axiom, principle, policy, etc.) and structured fields that AI agents can parse and traverse. This enables knowledge graphs that are both human-readable and machine-navigable.

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Building a Second Brain for AI Agents

How to architect an Obsidian vault with typed frontmatter so AI agents can reason with your knowledge, not just search it.

The Axiom-Principle-Rule Framework: Codifying How You Think for AI Agents

A composable three-tier decision hierarchy — axiom, principle, rule — that codifies your judgment into structured context AI agents can traverse. Distilled from real PO practice, not academic theory.

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Typed Frontmatter is taught in Build Your AI Second Brain — a guided sequence of 16 lessons.

After completing this path you will have a capture habit that catches thinking before it decays, notes structured so both you and an AI can retrieve them (atomic, identified, context-rich), a personal knowledge graph AI tools can answer from, and the review loop that keeps the system alive. Ask-don't-search becomes your default.

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