# 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.