An AI-native capability program built around one north star: anyone should be able to run a 1% experiment.
Training programs create awareness. They rarely create capability. People leave knowing more about a subject without the ability to actually do anything differently.
Builder Lab was designed to fix that. A small founding cohort (design leaders, engineers, AI practitioners) focused on building real internal tools, not completing exercises.
The founding cohort establishes a set of practices. Then the program scales through focused pods that inherit those practices, each one building on the last. The north star stays constant: anyone should be able to run a 1% experiment.