Not everything gets published.
Some of the most important work doesn't make it to the site.
It happens earlier.
While systems are being mapped. While decisions are being challenged. While things are still unclear.
Resource Library
Short essays that clarify complex ideas and challenge assumptions about AI, design, and systems.
AI Is Not a Feature
Why treating AI as a bolt-on leads to fragile systems—and what to design instead. Most teams start with the tool, not the problem. This essay explores what happens when AI is treated as infrastructure rather than decoration.
Designing for Exceptions, Not the Happy Path
Why edge cases are often the clearest signal of how a system really works. The happy path tells you what was planned. The exceptions tell you what was overlooked—and where trust breaks down.
Why Small Teams Can’t Afford Bad AI Decisions
How limited margin for error changes how AI should be designed and deployed. When you don’t have a dedicated ML team or a budget to recover from failed experiments, every decision about automation carries real weight.
What you'll get
How systems actually break
Where AI creates friction instead of value
What changes when decisions, ownership, and workflows align
Not trends.
Not recycled takes.
The thinking behind the work.
Who this is for
Teams dealing with complexity.
Leaders responsible for outcomes.
People trying to make AI actually work inside real systems.