AI Strategy

I spent a weekend reading two Claude Code source trees side by side, to find what changed and hasn’t across 13 months of the most successful AI product.

I watched 300 builders hit inference limits at Mistral’s worldwide hackathon. Three weeks later, GTC 2026 announced the infrastructure to fix it. Here’s what agent developers need to understand about the serving layer beneath the models.

I guest-lectured to Directors and C-suite leaders at Columbia’s executive AI program. Their questions — about liability, talent, and competitive advantage — reveal where leadership’s mind actually is on AI right now.

The feedback loop that used to require study groups, office hours, and weeks of iteration now happens in real time. How arguing with Claude turned six weeks of Causal Inference into a repeatable system for learning anything technical.

Context engineering — not prompt engineering — is the PM superpower that separates AI-native product managers from everyone else.