1.5 KiB
1.5 KiB
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 draft-pack import workflow on top of the workspace manager.
The goal is to let a user take a newly generated draft pack from the ingestion pipeline and bring it into a managed review workspace in one step.
Why this matters
A major source of friction in turning online course contents into usable study domains is not only extraction difficulty, but also the messy handoff between:
- generated draft artifacts
- review workspaces
- ongoing curation
- promoted reviewed packs
That handoff can easily become another activation-energy barrier.
This import workflow reduces that barrier by making it straightforward to:
- choose a draft pack directory
- create or target a workspace
- copy/import the draft pack into that workspace
- begin review immediately in the UI
What is included
- workspace import operation
- local API endpoint for importing a draft pack into a workspace
- React UI controls for import
- preservation of imported draft-pack files
- sample import source directory
- sample workspace with imported draft pack
Core workflow
- generate a draft pack via ingestion
- create a workspace or choose an existing one
- import the draft pack into that workspace
- open the workspace in the review UI
- curate and promote it