Before you add AI, find the decision it should improve
A framework for moving from general enthusiasm to a focused, testable AI opportunity with an owner and measurable value.
Insights
Clear thinking for
complex product work.
Practical notes for leaders navigating software, AI, product strategy, experience design and decisions that shape sustainable digital products.
Featured · AI adoption
AI strategy is product strategy—with new forms of uncertainty.
Organizations finding real value from AI are not beginning with a list of models. They are beginning with a close look at work.
They identify repeated decisions, expensive information gaps, constrained expertise and customer moments where better context changes the outcome. Then they treat accuracy, adoption, privacy, cost and operating ownership as one connected design challenge.
Read the field noteYour MVP is a learning system, not a smaller final product
Why effective first releases are designed around uncertainty, evidence and one complete promise to the user.
The quiet architecture decisions that protect momentum
A non-technical guide to foundations that make software easier to evolve, operate and trust.
An app must earn its place on the home screen
What retention, context, notifications, offline behavior and native interaction mean for an app people keep.
Good interface copy is part of product architecture
How labels, instructions, errors and confirmation reduce uncertainty and make complex workflows feel lighter.
Rebuild, refactor or repair legacy software
How to evaluate product debt without letting frustration or new-technology excitement make the decision.