Profile 6 min read

Lessons from Luke Burgis

Luke Burgis is an entrepreneur, educator, and author who applies René Girard’s mimetic theory to reveal how borrowed desires fuel achievement and rivalry, offering a framework for resisting superficial trends and cultivating independent, meaningful, “thick” desires.
Profile 9 min read

Lessons from Sean Feeney

Sean Feeney is a former Wall Street credit trader turned New York City restaurateur whose work with Chef Missy Robbins combines financial discipline, community-driven hospitality, and a partnership philosophy centered on making every day a good day.
Profile 6 min read

Lessons from Michael Kives

Michael Kives is a connector whose career spans politics, Hollywood representation at CAA, and venture capital with K5 Global, demonstrating how information brokerage, cross-industry relationships, and carefully built access can create a powerful node in modern networks.
Profile 6 min read

Lessons from Murray Stahl

Murray Stahl was a contrarian value investor and co-founder of Horizon Kinetics who studied structural market inefficiencies, championing asset-light businesses, hard assets, and Bitcoin as ways to think about capital allocation, currency debasement, and preserving wealth across decades.
Profile 9 min read

Lessons from Keith Ferrazzi

Keith Ferrazzi is an expert on networking, collaborative leadership, and the future of work who recasts professional success as collective achievement, grounded in deep relationships, co-elevation, mutual accountability, and the ability to adapt together as work changes.
Profile 11 min read

Lessons from Mortimer J. Adler

Mortimer J. Adler was an American philosopher, educator, and Great Books popularizer who argued that philosophy belongs to everyone, equipping generations to read rigorously and pursue truth, happiness, lifelong learning, and the full power of the human intellect.
Digest 8 min read

Daily Digest - 2026-04-10

Autonomous agents are moving from assistance into research, software creation, and service deployment. That expansion changes how vendors are discovered, how engineers allocate attention, and how quickly nontechnical operators can build capable AI systems.
Digest 6 min read

Daily Digest - 2026-04-09

Enterprise AI adoption depends less on model access than on the infrastructure surrounding it. Configured workspaces, reusable skills, equal interfaces for agents, and credible governance determine whether intelligence becomes broadly useful or merely creates new operational risk.

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