Turn your strongest subject’s papers and teaching experience into a proprietary knowledge asset.
A barrier no competitor can take from you. The asset belongs to your institution and is never used to serve another client.
Not “question data entry” — but turning exam papers into knowledge assets.
The engineering capability is subject-agnostic — all subjects and year levels are open to discussion.
Four layers, breaking a paper down to a granularity a machine can diagnose.
Every layer has a tutor review gate. Pricing follows depth, from baseline processing to full knowledge engineering on a single subject.
Paper structuring
Structured by year, paper, question type and marking basis, so every question is searchable and assemblable.
Language granularity
Broken down to chunks, situational expressions and distractor logic — this layer is where error-cause precision comes from.
Ability mapping
Each question tagged with the ability level it actually tests and its likely error causes, mapped to the official framework.
Variant generation
Progressive practice items per ability point, so remediation has material — no more blindly redoing whole papers.
Worked example: DSE English
Load past papers into a bank, sort by year and question type, let tutors pull questions.
When a student gets it wrong, the system only knows the question was wrong. Working out why still falls to the tutor, paper by paper.
Break down the chunks and fixed collocations behind each question, the synonym substitutions, the inference logic, and how each distractor was mis-designed.
Then map it to HKEAA ability levels — when a student misses a question, the system can tell whether it is vocabulary, comprehension or answering strategy, and pushes variant practice on that same ability point.
What we deliver, what we don’t
See the boundary before you buy. The left column works as-is as a contract schedule of deliverables.
What the diagnosis looks like
The table below is a structural illustration of the output fields. Real mastery metrics and sample data are filled in after your pilot. Error classification is the point — it decides what gets practised next.
The last row is deliberate: when confidence is short, the system outputs “undetermined” and hands the item back — it never guesses a score and charges it to the student.
Marking rules
All three are already in the code. Institutions can read them as contract terms.
Anchored to: EDB curriculum guides · HKEAA marking schemes, all traceable to the official source. Marking precision is promised only where official anchoring exists.
Once the asset exists
Bring one past paper. We’ll take it apart on the spot.
Forty-five minutes. We break down the paper you bring and you watch it become a diagnosable knowledge asset — then we map an entry tier for your institution.