Principlev1
Monitor leading indicators of schema drift rather than
Monitor leading indicators of schema drift rather than waiting for catastrophic prediction failures, using statistical shifts in your input environment and changes in decision confidence patterns.
Why This Is a Principle
This derives from Brain as Hierarchical Prediction Machine (predictive processing), Schemas as Knowledge Organization Structures (schemas), and The performance of an agent is bounded by the accuracy of (world model accuracy bounds performance). It prescribes early-warning systems based on MLOps principles. Highly actionable.