The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
For each detected error in a system, explicitly classify whether it represents an execution failure (wrong doing), knowledge failure (missing information), or judgment failure (incorrect assessment) before designing any correction.
When an error recurs with the same root cause across multiple independent instances, apply structural fixes (process changes, environmental redesign, automated checks) rather than effort-based resolutions (increased attention, more discipline, trying harder).
For execution errors, deploy procedural corrections (checklists, automation, environmental forcing functions); for knowledge errors, deploy epistemic corrections (new information sources, expert consultation); for judgment errors, deploy calibrational corrections (prediction tracking, external review, pre-mortems).
Track the full cost of recurring corrections by multiplying direct time by three to account for context-switching, opportunity cost, and verification overhead, revealing the true resource drain that justifies prevention investment.
After deploying a self-correcting mechanism for one cycle period, add a meta-correction review asking whether the correction actually prevented the target error, adjusting the corrector itself if it failed.