A short architecture film
Reference system architecture
A defined data model, scheduled reconciliation, human review and visible failure.
▶ Watch the filmThe architecture film · Subtitles in 11 languages
✦ Animated diagram by WorldWise Learning, derived from the system's own schema and scheduling. The presenter, Minh, is an AI avatar with an AI voice, made with Google Vids. No live records, student data or metrics are shown. The data-centre background is an AI-generated image.
What this is
A working reference system
A system the founder designed, built and operates himself, for his own teaching. Not a university deployment and not offered as one: a working example of the data architecture and operating standard.
- Secure web application behind sign-in
- One relational database, deployed continuously
- Ten tables covering the whole teaching operation
How it runs
Scheduled, recorded and visible
Two daily jobs start an hour apart: the calendar is reconciled into lessons, and teaching records are mirrored into Notion. Every run is recorded; a missed run is surfaced rather than assumed.
11:00
Calendar → Lessons
12:00
Teaching records → Notion
Every run
Recorded, with connector health
Human review first
Oversight before any model
- Source files are tracked by content, so changes, duplicates and disappearances are detected.
- Changes land in a human review queue.
- No language model is called, by design.
- The data discipline comes first; a model is added afterwards, if evidence justifies it.
- No student, staff or institutional data appears in any diagram.
Diagrams are generated from the system's own schema and scheduling configuration.
What transfers
The same pattern for your university
- A defined data model.
- A scheduled reconciliation pipeline.
- Grounded assistance under human review.
- Observability that survives real failure.
The founder's own reference system, built for his teaching. Not a university deployment. What changes for a university is governance, scale and where review sits, not the architecture.
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A defined data model, scheduled reconciliation, human review and visible failure.