Category Archives: In Practice: Building an AI Company

Twenty lessons in starting and scaling an AI company, told through the documents a founder actually produces and receives.

In Practice: Building an AI Company | Lesson 20: Scaling Is Choosing What Not to Do Next August 26, 2026

In Practice: Building an AI Company | Lesson 19: The Customers Who Stay Are the Ones Who Cannot Easily Leave August 25, 2026

In Practice: Building an AI Company | Lesson 18: You No Longer Optimize to Be Found, You Optimize to Be Quoted August 24, 2026

In Practice: Building an AI Company | Lesson 17: When to Raise, and When Not To August 21, 2026

In Practice: Building an AI Company | Lesson 16: When to Hire, and the Six Months Before That August 20, 2026

In Practice: Building an AI Company | Lesson 15: The Security Questionnaire You Cannot Answer Yet August 19, 2026

In Practice: Building an AI Company | Lesson 14: Your Moat Is Whatever You Would Have to Rebuild August 18, 2026

In Practice: Building an AI Company | Lesson 13: Build the Eval Harness Before You Build the Demo August 17, 2026

In Practice: Building an AI Company | Lesson 12: AI Slop Is a Distribution Problem, Not a Taste Problem August 14, 2026

In Practice: Building an AI Company | Lesson 11: Vibe Coding Is a Prototyping Tool That Keeps Getting Promoted August 13, 2026