Define core learning operations (composition, abstraction, analogy) as categorical structures

Model examples of real-world learning trajectories (e.g. concept maps, planning sequences, reflective practice) using these structures

Use visual and algebraic tools to reveal where epistemic composition succeeds or breaks

Optionally build tooling to track or simulate epistemic composition (e.g. a learning graph based on Logseq or Omnicat-style representation)

Apply the model to system design or planning problems to demonstrate usefulness