Guides
Practical, step-by-step writing on spec-driven development, evaluation, and AI product practice
Where the field reports describe what happened, guides show you how to do it: adopting spec-driven development (SDD) on your own team, designing evaluations that catch what matters, and building an AI practice as a product manager. Written from practice, not theory.
Data Products for Robots
AI agents are now first-class consumers of your data. A practical guide to what changes when the reader of your documentation is a machine.
WorkThe Spec That Lints Itself
A small, free, no-dependency script that checks a markdown spec for the gaps that force an AI coding agent to guess. Download it and run it today.
WorkThe Gate That Fires Every Time
Telling an AI assistant how you like things works for about an hour. A rule that triggers on an observable signal works indefinitely. The pattern, and the file.
WorkWrite the Skill, Not the Answer
Solving a problem well and losing the solution is the default. A skill file turns a one-off answer into permanent capability. The structure, and the template.
WorkRight Knowledge, Right Lifetime
An AI assistant forgets everything between sessions unless you build the memory yourself. Three scopes, one rule, and why a lesson has to land in the file that matches its lifetime.
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I publish every Sunday evening, Eastern time. No spam, just essays.
Building With These Ideas
I am building North Bound, a product management app that applies this thinking: AI as a thinking partner through the product requirements process, from messy inputs to a spec an agent can build from.
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