Combine live accountability with reusable course content

Put programme materials, live sessions, recordings, follow-up homework, group support, and progress in one cohort workflow. Move stable explanations into reusable material and reserve meetings for diagnosis, discussion, modelling, practice, and feedback.

Put programme materials, live sessions, recordings, follow-up homework, group support, and progress in one cohort workflow. Attach it to the right lesson with materials, notes, and the next task.

The connected steps are Programme → Pre-work → Live session → Recording → Follow-up → Cohort review. Saved results remain editable in SubSchool. Tutoring homework generated from chat context is posted automatically when ready and can be edited afterward.

Move stable explanations into reusable material and reserve meetings for diagnosis, discussion, modelling, practice, and feedback. Only use source material you are authorised to process, and remove unnecessary personal or sensitive information.

Attach it to the right lesson with materials, notes, and the next task. When the current product workflow creates a saved course, lesson, exercise set, score, or feedback item, the teacher can inspect the supported fields instead of relying on a public-tool output as an automatic import.

Use the transcript and files to draft grounded practice, then review it before assigning to the group. AI can prepare or assess a supported first pass. The educator can inspect and change supported course, lesson, exercise, score, and feedback states; tutoring homework generated from authorised chat context is posted automatically and remains editable afterward.

Attendance is useful operational data, but it does not prove understanding or progress. Course work can stay in the distinct draft state while it is reviewed. Private, public, and paid are separate course types rather than properties of the same draft.