The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
Test AI integration by verifying whether interactions increase your independent understanding—if you cannot reconstruct the reasoning without the AI, the tool is replacing cognition rather than extending it.
Feed complete externalized system context to AI assistants rather than isolated queries, because AI reasoning quality scales with the completeness and structure of the personal knowledge base it can traverse.
When using AI to assist schema inspection, first externalize your thinking in writing, then request assumption extraction, pattern detection across entries, or adversarial questioning—because AI can only inspect articulated schemas, not internal ones.
Position your system prompt's most important instructions in the first 20% of tokens, because transformer attention mechanisms allocate disproportionate processing to early sequence positions through positional encoding and causal masking.
When AI assistants suggest frameworks or schemas, respond by asking for original research sources, boundary conditions, and strongest counterarguments rather than accepting or rejecting the claim directly.
When AI systems traverse your knowledge graph, maintain typed relationship labels with explicit predicates rather than relying on semantic similarity alone, because typed edges enable logical reasoning while embeddings only surface associative proximity.