# Didactopus

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

This revision adds an evidence-driven mastery engine on top of the adaptive learner model.

## Added in this revision

- evidence record models
- rubric-style evidence scoring
- concept mastery updates from accumulated evidence
- weak-concept resurfacing
- automatic learner state updates from evidence bundles
- project evidence integration
- CLI demonstration of evidence-driven progression
- tests for mastery promotion and resurfacing

## Why this matters

Didactopus no longer needs mastery to be supplied only by hand. It can now begin to infer learner state from observed evidence such as:

- explanation quality
- problem-solving performance
- project completion
- transfer-task performance

That is a necessary step toward a genuine mastery engine.