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Didactctopus is a multi-talented AI system to assist autodidacts in gaining mastery of a chosen topic. Want to learn and get an assist doing it? Didactopus fits the bill.
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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.