Lessons from Sally Denton

Sally Denton, an investigative reporter and historian, excavates buried histories and America’s “shadow capitals” to reveal the concealed structures of power, tracing how money, faith, political influence, corruption, and corporate secrecy shape the modern world.

Lessons from Andy Sparks

Andy Sparks, co-founder of Mattermark and Holloway and a coach to startup CEOs, translates operational experience into frameworks for leadership, sales, and self-management while asking how companies can combine high performance with genuine attention to people.

Lessons from Scott Stevenson

Scott Stevenson, co-founder and CEO of Spellbook and a computer engineer by training, brings lean experimentation to legal technology, exploring how large language models can improve contract drafting through a philosophy of human-AI augmentation.

Lessons from Ashley Mayer

Ashley Mayer, a venture capitalist and communications expert, connects storytelling with operational execution at Coalition Operators, advancing a tactics-first approach to building brands informed by her work shaping narratives across Box, Social Capital, and Glossier.

Lessons from Garrett Lord

Garrett Lord, co-founder and CEO of Handshake, built a career network around democratizing professional opportunity for students, confronting the role pedigree plays in hiring and widening access beyond the institutions traditionally favored by employers.

Lessons from Tony Xu

Tony Xu, co-founder and CEO of DoorDash, pairs long-range vision with close attention to the lowest operational detail, showing how immigrant grit and precision can address the messy physical-world logistics underlying the modern local economy.

Lessons from Joe Dispenza

Joe Dispenza, a chiropractor, researcher, and bestselling author, links neuroscience, epigenetics, quantum physics, and spirituality through work focused on breaking ingrained habits, mastering emotions, healing the body, and pursuing deliberate, lasting personal transformation.

Daily Digest — 2026-03-27

As agents learn to improve themselves and select tools autonomously, human advantage moves toward benchmarks, safety boundaries, and rapid feedback loops. Products must become executable by machines, while vertical model defensibility depends on continuously refreshed production evidence.

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