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Home Writing Books Book a Call All books The Decision Layer · Volume One The Decision Gap Why you can trace every step and still not know why Jamal Nalyqor First Edition, August 2026 Every team running AI in production can replay what their system did. Almost none can explain why it did it.
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Small Teams, Big Models: The ML Engineer You Can't Hire
The models got good enough that small teams stopped needing an ML engineer. Then the job came back, in a shape nobody can hire for. Photo: Marvin Meyer on Unsplash A lot of the AI running in production right now isn't being run by AI teams. It's being run
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Buy vs. Build: The Coming Category of AI Behavior Tooling
Every engineering team debugging AI failures right now is quietly building the same tool. That's usually the first sign a category is about to exist. Ask ten engineering teams running AI in production how they catch a bad decision, an agent that reasoned
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The Trust Gap: Why AI Pilots Stall Before Production
The pilot works. Nobody ships it. Here's the question that's actually stalling the room. I have watched the same story play out with enough teams now that I can predict the shape of it before it happens. A pilot gets scoped, usually something contained: a
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"We Have Observability" Is a False Sense of Safety
Visibility answers what happened. Safety depends on whether the decisions behind it were sound, and right now almost no one is checking that. "We have full observability" has become the answer to a question it doesn't actually address. Ask an engineering
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The Hidden AI Tax: Where Teams Waste Money Without Knowing It
Your AI bill is going up. The line items can't tell you why, and that gap is where the money goes. Every team running AI in production is paying a tax. It does not arrive on an invoice with that name. It is not a line item that anyone approved. It is the
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