August 25, 2026
Writing specs for AI features
A specification for a probabilistic system needs things a normal PRD does not: acceptance criteria that are statistical, and a defined behaviour for being wrong.
ReadAugust 25, 2026
A specification for a probabilistic system needs things a normal PRD does not: acceptance criteria that are statistical, and a defined behaviour for being wrong.
ReadAugust 25, 2026
How AI changes discovery, specification, experimentation and measurement — and the parts of product management it does not change at all.
ReadAugust 25, 2026
Regression, trees, ensembles and — more importantly — evaluation. Most production ML is still this, not deep learning.
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Neural networks from first principles, then the two architectures that matter.
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The last step, and the one that fails most often: rules specific enough to apply and permissive enough to be obeyed.
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What you are allowed to hold, for how long, and what a model trained on it can leak back out.
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Responsible AI, governance frameworks and the failure modes that only appear once a system is live and used by people you never met.
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