Articles exploring governance through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
4 articles
Most people accept an AI agent’s first answer. A three-layer audit — primary-source check, realistic-input test, goal re-derivation — catches what pattern-matching misses.
Karpathy's 2023 LLM talk, rebuilt for 2026 — what changed in scaling, tool use, and security, and what founders deploying AI agents need to know.
Statistical failures compound into credibility damage. The Statistical Trust Deficit framework explains why rigor in SRM detection and false positive…
How Atticus Li governed 100+ annual tests across five NRG Energy retail brands, with explicit rules for stopping, collisions, prioritization, and evidence.