Essays on operational systems thinking, agentic infrastructure, and the architecture of autonomous decision making.
The most consequential failures in intelligent systems don't happen in the infrastructure layer. They happen between components — in the connective tissue between data and decision.
Most AI systems are built for the lab. Operational AI is built for the world — with different reliability requirements, different failure modes, and different success criteria.
High-quality signals are abundant. The hard problem is acting on them correctly, at speed, with appropriate human oversight built into the loop.