Notes about practical AI product engineering.
I write about how teams use AI in production. Topics include context, evaluations, human review, workflows, and clear product language.
Current themes
AI product engineering
I study how agents change product work. I focus on release goals, evidence, human decisions, and measurable results.
Context engineering
I explain how to give agents the product, code, customer, and workflow information that they need.
Evaluations and evidence
I explain how to define success, collect traces, and record evidence that supports each result.
Lessons from the work
I learn when a workflow fails or a review record does not support a result. I also learn when a customer describes the product more clearly than I do.
This page keeps those lessons in a public record. Each note must help a team make its next decision with less confusion.
Do you need a practical session?
Invite me to a team session or send me the workflow that you want to improve.