Writing
How I think about an organization's AI problem.
A curated set, not a feed. Each case note has a situation, a complication, a real decision with the option I rejected, what it cost, and a lesson small enough to be true.
01
Situation
02
Complication
03
The decision
04
What it cost
05
Lesson
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Case note
ReadDeterministic scaffolding, or let the model work
Read this if you are deciding where the code stops and the model starts.
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Case note
ReadTiered data access and the answer you cannot give
Read this if two users with different clearances will ask the same system the same question.
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Case note
ReadSprawl in agentic coding
Read this if an agent-built feature keeps growing and nobody asked it to.