Cross-module collection
Accepts records from solver, question generator, deep research, and co-writer.
Custom appearance
Each notebook has a configurable color and icon for quick visual identification.
Used by guided learning
Guided learning reads notebook records to generate personalized learning paths.
Used by idea generation
Automated IdeaGen extracts knowledge points directly from notebook records.
How to use
Save records from other modules
After completing any activity — solving a problem, generating questions, finishing a research session, or editing in co-writer — click Add to Notebook and select the target notebook.
Browse and manage records
Open the notebook to view all saved records. Records are sorted and tagged by type and knowledge base.
Creating and managing notebooks
Each notebook has the following properties:| Property | Description |
|---|---|
| Name | Required. Identifies the notebook in the sidebar and module pickers. |
| Description | Optional freeform notes about the notebook’s purpose. |
| Color | Hex color used for the notebook’s visual chip. |
| Icon | Icon displayed next to the notebook name. |
Record types
Records are automatically categorized by their source module.| Record type | Source module | What is stored |
|---|---|---|
| Solve | Smart solver | Final answer, solution chain, citations |
| Question | Question generator | Generated question set and validation report |
| Research | Deep research | Research report path and metadata |
| Co-writer | Co-writer | Document content and edit history reference |
Cross-module integration
Guided learning
The guided learning module reads selected notebook records to plan a personalized learning path. You can select records from one or multiple notebooks in the session setup screen. TheLocateAgent analyzes the combined records to identify 3–5 progressive knowledge points for the session.
Idea generation
Automated IdeaGen’sMaterialOrganizerAgent processes notebook records as its primary input. The more varied the record types in the notebook, the broader the pool of knowledge points the agent can discover. You can select a single notebook per idea generation session.
Categories and tags
Records are automatically tagged with:- Type tag —
solve,question,research, orco-writer. - Knowledge base tag — the name of the knowledge base used in the session (when applicable).
Visual customization
Each notebook can be assigned a custom color and icon from the notebook creation or edit dialog. These settings are purely cosmetic — they make it easier to identify notebooks at a glance in the module pickers throughout the application.Data storage
Notebook metadata is stored indata/user/notebook/. The notebook files contain record lists and metadata; the actual content (reports, solutions, etc.) remains in the module-specific output directories.
Notebooks and their records persist across sessions. You can close and reopen DeepTutor and all notebooks remain accessible. If you move or delete the underlying output files in
data/user/, the notebook record will still exist but the linked content will no longer be accessible.