The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
For every high-stakes term in your reasoning (quality, success, productive, fair), write an operational definition specifying observable conditions that must be true for the term to apply, then store that definition as a canonical reference atom in your knowledge system.
When two people or two parts of your own thinking use the same term with persistent conflict, pause the debate and conduct a definition audit: have each party write their operational definition independently, then compare—if definitions diverge, the conflict is definitional not factual and should be resolved at the definition level.
Feed your operational definitions to AI systems as explicit context before generating analysis or recommendations, treating your personal glossary as the translation layer between the model's probability-weighted semantics and your specific conceptual framework.
For each high-stakes word in decisions or commitments (quality, ownership, alignment, done, strategy), require independent operational definitions from each stakeholder before proceeding, then compare and reconcile the definitions explicitly.
Write a one-sentence decision rule for each priority type that defines membership criteria operationally before applying the types to any backlog.