Everyone's teaching you about AI. Nobody's teaching you how to think. Five frameworks, five domains, eight decades — all describing the same structure.

On interoception, contemplative practice, biometric feedback, and building a tool that tries to become unnecessary.

Every organization building frontier AI systems faces the same structural problem: assembling interdependent claims into a coherent safety case. The dependency structure exists — but it lives in researchers' heads.

Every major ML compiler faces the same constrained optimization problem. Every production compiler makes these decisions sequentially. What if a learned planner could make them jointly?