The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
Use AI to identify conspicuously absent concepts that would bridge multiple existing graph nodes rather than generic topic recommendations.
For high-stakes AI outputs, adopt a three-tier verification intensity: skim for low-stakes brainstorming, spot-check key claims for medium-stakes communications, and verify every substantive claim for high-stakes published or production content.
Before acting on AI-generated conclusions, apply the defense test: 'Could I defend this conclusion without the AI's output? Do I understand the reasoning well enough to identify where it might be wrong?'—if not, do the cognitive work before proceeding.
When using AI systems, maintain explicit separation between input generation (AI-assisted) and judgment synthesis (human-retained), because outsourcing the integration function constitutes epistemic abdication regardless of input quality.
After encountering AI recommendations that contradict your careful analysis, apply three filters in sequence: Does this present unconsidered evidence? Does this identify verifiable reasoning errors? Does it merely state a different conclusion without showing work? Only the first two warrant revision.
Before using AI for values-related decisions, articulate your values and hierarchy explicitly—then use AI to generate arguments from your stated values' perspective rather than accepting AI recommendations as substitute values.
When using AI for pressure inoculation, instruct it to maintain maximum intensity without softening and to systematically vary attack angles (guilt approach, calm disappointment, interruption mid-sentence) across multiple rounds to practice responding to the pressure category rather than one instantiation.