Rethinking Product and Engineering in the Age of AI
AI Summary
I argue that the artifacts product teams rely on—PRDs, one-pagers, test cases—exist mainly because translating intent between humans is slow. With LLMs removing that friction, the only artifact worth perfecting may be customer-facing documentation. If docs describe the experience with enough precision, models can derive UIs, technical specs, and business cases automatically, letting humans focus on taste and intent. This shift reframes product management as docs-first storytelling rather than bureaucracy, collapses hand-offs, and directs AI energy toward shipping value instead of bloating the ideation funnel. Experimenting now with docs-driven workflows surfaces gaps, sharpens vision, and accelerates launch velocity and momentum.