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How IBM's 1961 typewriter dominated business for 25 years — and why solving the right problem perfectly didn't save it from the personal computer. A product lesson on market awareness.

How transitioning from structural engineering to AI product leadership revealed that understanding human decision-making is more complex—and more rewarding—than any finite element analysis.

A practical history of early generative AI—how rule-based systems evolved into probabilistic models and neural generators, and the engineering trade-offs that shaped modern AI.

Product managers make 100+ micro-decisions daily. Here's how Kahneman's dual-process theory explains why we're so bad at interpreting test results.

When 95% confidence isn't enough - understanding the critical difference between statistical significance and behavioral significance in product decisions.

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