Curated frameworks, articles, and tools for PM leaders — ask anything below, or jump straight to what you need.
From the library
Product strategy, AI decision quality, and leadership — written for PMs who want grounded thinking, not generic takes.
Anthropic's internal analytics went from 21% to 95% accuracy with zero model improvement. What that means for where AI moats actually live—and why you're fighting for the wrong layer.
Speed and feature parity are the trap. The moat moves toward embedded domain knowledge and workflow depth before foundation models commodify the gap.
When AI accelerates your team, bottlenecks don't disappear—they migrate. Where they surface reveals exactly what your organization doesn't yet know how to do. Here's how to read the signal and fix the gap.