AI Product Architecture
What A Real Decision Record Looks Like
Most human-in-the-loop AI systems produce logs, not decision records. A log tells you a button was clicked. A real record tells you what the human knew, decided and what happened.
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AI Product Architecture
Long-form thinking on AI product development, leadership, and the craft of building things that matter.
AI Product Architecture
The Context Problem
AI agents can make technically valid recommendations that are still wrong because they lack business context. More data does not solve it. Better context does.
AI Product Architecture
The Oversight Illusion
Human-in-the-loop AI does not automatically create meaningful oversight. If the interface quietly turns review into queue-clearing, what you have is approval theatre.
AI Product Architecture
Boring AI Is Where The Money Is
The serious money in AI isn't hiding in the shiniest product. It's sitting in the invoice queue nobody owns, the compliance check that still depends on someone reading three documents, and the procurement exception that delays a supplier payment.
AI Product Architecture
Don't Build A Model. Build A Learning Loop.
The question is not 'should we train our own model?' The better question is: what will our product learn that nobody else can see?
AI Product Architecture
The AI App Trap
I threw myself into building AI apps and came out with an uncomfortable conclusion: the app was often the least interesting part.