The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
At each stage of a multi-phase commitment, calculate the cost ratio between discovering a foundational error now versus discovering it after the next phase completes—when this ratio exceeds 5:1, increase detection investment before proceeding.
Build error detection infrastructure that monitors both your primary outputs and your detection system's own performance, tracking what errors you catch versus what you miss through other means to detect detection failures.
Deploy automated grammar checkers, linters, or mechanical validation tools before manual review to catch pattern-based errors, reserving human attention for contextual judgment that tools cannot provide.
Place error detection checkpoints at the earliest point in a process where the error can first be caught, because correction cost increases exponentially with propagation distance downstream.
Before automating any step, apply the sovereignty check by asking 'if this automation produces wrong output, will I notice?' — automate only when the answer is yes through review, downstream dependencies, or verification checkpoints.