Mutant CompanyLab Notes
Essays on the systems, operating models, and domain judgment required to turn frontier AI into real-world capability.
AI agents do not fail only because the model is weak. They fail because the enterprise context is scattered across tools, conversations, decisions, and memory that the system cannot reason over.
Robots need their own version of the internet-scale data flywheel. World models, simulation, synthetic data, and in-robot experience are how that flywheel starts.
Why the advantage in vertical AI comes from operationalizing expert judgment, not just choosing a better model.