Articles

How AI systems
actually behave.

Short, practical pieces on the parts of AI that decide whether a product works: context, probability, retrieval, tools and autonomy. The same thinking the course is built on.

Most of what you call the AI is not the model

A map of the eight parts around the model, and a five-minute method for drawing it for any product.

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Why a confident answer is not a verified one

How fluent text goes wrong, what confidence actually measures, and which outputs a product must check in code.

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Autonomy is a cost, so decide where you spend it

How to choose between a fixed workflow, one model-chosen branch and a full agent loop, and where approval belongs.

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Want the whole map, not just the articles?The digital course turns this thinking into nine modules, a workbook and cheat sheets you keep.

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