Didactopus/.update_readmes/20260314_131842__085-didact...

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Didactopus

Didactopus is a local-first AI-assisted autodidactic mastery platform built around concept graphs, evaluator-driven evidence, adaptive planning, mastery ledgers, curriculum ingestion, and human review of generated draft packs.

This revision

This revision adds a workspace manager on top of the local review bridge.

The goal is to reduce the remaining friction in getting from:

  • raw or ingested course materials
  • to a draft pack
  • to an actively curated review session
  • to a promoted reviewed pack

Why this matters

A major design goal of Didactopus is lowering the activation-energy hump. Even when good online course content exists, a learner or curator may still stall because:

  • materials are scattered
  • multiple draft packs accumulate
  • there is no single place to organize review work
  • switching between projects is awkward

The workspace manager addresses that by making Didactopus feel more like a practical local tool and less like a pile of disconnected artifacts.