How I think through AI and business.
This is the reference library I return to when I'm working with clients or building AI products — the frameworks, mental models, and design principles that sit behind every engagement.
Two tracks: the technical side (how AI actually works and how to build with it reliably) and the business judgment side (how to see problems clearly, pick the right ones, and make decisions that hold up).
AI Systems
How AI actually works — and how to build with it reliably.
How LLMs Actually Work
The mental model that changes how you use AI. Tokens, context windows, hallucinations, and the jagged frontier explained in practical terms.
The ReAct Loop: Think, Act, Observe
What makes an AI agent an agent. The foundational pattern every AI framework is built on, and why understanding it makes every framework easy.
Planning AI Projects: The Four-Document Pipeline
Why one document isn't enough. How PRD, research doc, plan, and roadmap each serve a different purpose — and what happens when you skip one.
Designing Code AI Can Actually Use
CLI-first interfaces, structured logging, test design, and security patterns that enable autonomous AI development loops.
AI Workflow Discipline
Multi-session patterns, instruction files, the Law of Witnesses, and the escalation ladder. The system that makes AI reliable across long projects.
When (and How) to Build an Agent
The question most people skip before building. When agents are worth it, where they break, and how to debug them systematically.
Business Judgment
The thinking frameworks I apply before touching any tool.
Systems Thinking: Where the Real Leverage Hides
Why most fixes don't work, how to see the structure that drives behavior, and where to intervene when you want things to actually change.
Identifying High-Quality Problems
Why most bad products are answers to the wrong question — and how to test a problem before you commit to building a solution.
Where Human Value Lives in an AI World
Kind vs. wicked domains, the automation rule, and why intersections are the most defensible position for humans and businesses alike.
How to Think Clearly in an AI-Shaped World
Why intelligent people make bad decisions, the traps that catch even careful thinkers, and the habits that counteract them.
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