Didactopus/README.md

Didactopus

Didactopus is a local-first AI-assisted autodidactic mastery platform.

This revision upgrades the evidence layer from a single weighted score to a multi-dimensional mastery model.

Added in this revision

• per-concept mastery dimensions:
  • correctness
  • explanation
  • transfer
  • project_execution
  • critique
• weighted, recency-aware dimension summaries
• per-dimension mastery thresholds
• concept-level mastery determined from all required dimensions
• dimension-specific weakness reporting
• adaptive next-step selection informed by weak dimensions
• tests for multi-dimensional mastery promotion and partial weakness detection

Why this matters

Real mastery is not one scalar.

A learner can be strong at routine correctness and still be weak at transfer, explanation, or critique. This revision lets Didactopus represent that distinction explicitly.