The header stepper lists every stage in order: Guided unit → Ingestion → Graph → Unit → Sequencer → Compliance → Export (same as the cards below). Wizard state stays in this browser; curriculum data lives in Supabase via brainloader-cie.
How this connects to BrainLoader
sequenced_sequences). The lesson runtime loads those lessons for students (replace lesson-1 with a real lesson_id from your sequence).mastery_outcomes / NESA alignment as this pipeline — practice gaps on the teacher dashboard reinforce outcomes you sequence here.Switch areas anytime using the sticky workspace bar at the top (Teacher hub, Curriculum, Mastery, Student view).
Single path: syllabus → map → unit → focus tasks → save, with teacher-friendly labels and no graph jargon.
Best for day-to-day authoring — fewer controls, clearer steps.
Parse syllabus text into a structured tree and validate coverage.
No parse loaded yet. Paste a syllabus to begin.
Build the persisted curriculum graph snapshot from the parsed tree.
Requires a successful ingestion tree.
Select outcomes and content, then generate a teaching unit with quests and guardrails.
Select curriculum scope and run generation after graph build.
Living School sequencer cockpit — weekly timeline, adaptation, assessment-informed refocus.
Generate a unit first — the sequencer binds to your pipeline unit id.
Evaluate audit readiness, heatmap, and compliance warnings.
Run compliance after a unit is saved.
Export the BrainLoader payload (JSON) for the active unit.
Create an export to download the BrainLoader JSON.