Lucas M. Cazelli

Featured

• The IBM Selectric: When Brilliant Engineering Loses to Market Change

  9 May, 2026

  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.

• Statistical Significance vs Behavioral Significance: A PM's Dilemma

  13 Dec, 2024

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

Recent Posts

• Local or Cloud for Your AI Coding Workload: the 2026 Decision Framework

  25 Jun, 2026

  Chip export controls and over-capitalised AI competitors are reshaping where teams run inference. A practical framework for choosing between local and cloud AI coding workloads in 2026.

• The Labor Illusion Is the Wrong Bet for Creative Testing

  4 Jun, 2026

  We trust AI more when it pretends to think slowly. In creative testing that instinct is backwards: the job is a fast, defensible verdict, proven with real attention data, not theatrical delay.

• From Finite Elements to Human Elements: An Engineer's Journey into Decision Science

  12 Sep, 2025

  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.

• Engineering Foundations of Generative AI: From Rules to Probabilities

  11 Sep, 2025

  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.