Learn
Serious AI work starts with better inputs.
Guides, research, and tool verdicts for professionals who want AI that reflects how they think and work.
Start here
New here? Start with these.
Understand what structured context changes about professional AI.

Essay13 min read
The Super-User Paradox
The AI productivity paradox: super-users are getting faster, but most companies still do not turn AI gains into revenue, cost, or operating performance.

EssayApril 29, 2026
How to Read an AI Benchmark
Why the labs keep retiring their own headline tests, and how working professionals should actually read frontier-AI launch numbers in 2026.

Build NoteApril 22, 2026
Shipping a Multiplayer Game in 4 Days: A Spec-First Build Log
A non-engineer shipped a production multiplayer game in four days using spec-first thinking and Claude Code. Here's the full build log.

EssayApril 15, 2026
I Built a Paul Graham AI Profile
What happens when you load 1,875 tokens of structured context into Claude? A first-person experiment in context engineering with a Paul Graham AI profile.
Browse
The full index.
Topics

I Built a Paul Graham AI Profile
What happens when you load 1,875 tokens of structured context into Claude? A first-person experiment in context engineering with a Paul Graham AI profile.

Teaching an AI to Write Like You (Not Like Every Other AI)
Voice calibration is harder than it looks. Rules alone hit an 85% ceiling. The three-layer architecture that gets closer.

The Architecture of Teaching AI Your Job
AI that understands your job needs three layers of context: cognitive, professional, and operational.

AI Memory vs. AI Context: What Professionals Need to Know
AI memory saves facts about you. AI context captures how you think. The difference determines output quality.

How to Build a Reasoning Architecture: Step by Step
A practical guide to documenting your decision frameworks, quality standards, and reasoning anti-patterns in a format AI tools can use.

What Is a Reasoning Architecture? Your AI's Decision Framework
A reasoning architecture encodes how you make decisions, turning AI from assistant to thinking partner.

Context Engineering vs Prompt Engineering: What Actually Matters
Prompt engineering optimises single interactions. Context engineering makes every interaction better.

Why Your AI Gives Generic Output (And How to Fix It)
AI tools default to generic because they lack your professional context. The three types most professionals never provide.

What Is Context Engineering? A Guide for Non-Technical Professionals
Context engineering is the discipline of designing AI systems that understand your work. A plain-language guide for non-technical professionals.