Every engineering manager faces the same question: how do you help your team genuinely thrive in the AI era? Not just adopt the tools, but build the workflows, habits, and shared knowledge that turn AI-augmented engineering into actual productivity.

This is a practical, manager's-eye account of leading a team through real AI adoption. It focuses on what works.

Three patterns. First, the signals worth tracking versus the activity metrics that game themselves. Second, building a team second brain in Obsidian, a shared knowledge base where prompts, agent recipes, and lessons accumulate, turning individual experiments into team capability that grows as the team grows. Third, how the manager's role evolves as engineering shifts toward AI-augmented and agent-coordinated workflows.

Attendees leave with concrete patterns they can apply Monday morning, a starter template for a team second brain, and a productive lens on the leadership challenges of this transition.