A bank without tags is a folder
Question banks get built and then become unusable because the questions are stored without the metadata needed to let anyone find the right ones.
Tags are what make a bank a bank. Topic, difficulty, question type, and the learning outcome each item assesses: without those, assembling an assessment means reading everything.
Duplicates accumulate invisibly. The same question phrased differently by two people over two years is two rows. A bank full of near-duplicates produces assessments with accidental repetition.
Coverage against outcomes is the property that matters most and the one nobody measures. A bank with two hundred items concentrated on three outcomes cannot produce a balanced paper, however large it is.
How the ActionFlow runs on the canvas
Material arrives through a Document Upload node. Existing questions are read from a Google Sheets or Airtable node where a bank already exists.
A Notion node provides the learning outcomes that every item is tagged against.
A Loop node walks the material by topic. A Generate Object node produces items with the full tag set: topic, outcome, difficulty, question type, and the source passage.
A Uniq node removes exact duplicates. A Generate Object node then examines near-duplicates specifically, returning which pairs assess the same thing in different words, as a question for the educator rather than a merge.
A Math node counts items by outcome and difficulty. A Filter node produces coverage gaps.
A Create Excel node builds the bank with each tag as a column, which makes it filterable outside the system.
An Airtable node holds it for assembly. A Slack node gives the educator the coverage report, which is more useful than the item count.
A Human in the Loop node reviews new items before they enter the bank, because an unreviewed question bank is a source of recurring errors.
Nodes this ActionFlow uses
- Document Upload (Data): takes the course material. Airtable holds an existing bank.
- Notion (Integration): supplies the learning outcomes every item is tagged against.
- Loop (Control): walks the material by topic.
- Generate Object (AI Core): produces items with topic, outcome, difficulty, type, and source passage.
- Uniq (Control): removes exact duplicates before near-duplicates are examined.
- Generate Object (AI Core): raises near-duplicate pairs as a question, never merging them itself.
- Math (Util) plus Filter (Data): count coverage per outcome and produce the gaps.
- Slack (Human in the Loop): reviews new items before they enter the bank.
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