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Use case · For educators

AI for teaching prep, grounded in your own material.

Turn your own lecture material into this week's prep instead of a blank page. Generate summaries, quizzes and flashcards scoped to the unit you're teaching, and open a notebook to research a current example with its source attached before you stand up in front of the class.

PlanningEducation
03
In access today
04
Moves
02
Workflows
Course plan · educators4 parts
Part 01learn
Turn material into study tools
Part 02research
Scope the tools to this week's unit
Part 03storage
Research the gaps
Part 04storage
Keep a reusable library

Example workflows

What it looks like end to end.

Flow 01

Weekly unit prep

Mark this week's slide range, generate a quiz and a set of flashcards from that material, and pull one current example into a research notebook to bring the lecture up to date.

Flow 02

Course refresh

Before a term starts, sweep last term's material for a supporting reference that's since moved on, and refresh the study tools scoped to the updated unit.

The stack under the work

The workspaces this job runs on.

Listed in the order the work moves through them, each carrying its live status.

What you can do

Four moves, one workspace.

The concrete work behind "ai for teaching prep" — not a feature list.

01

Turn material into study tools

Upload your lecture slides and readings and generate summaries, quizzes and flashcards from your own content, not a generic bank.

02

Scope the tools to this week's unit

Mark the slide ranges for a unit and every quiz and summary stays on that unit instead of the whole course.

03

Research the gaps

Open a research notebook to pull in a supporting reference or a current example, with the source attached so you can defend it in class.

04

Keep a reusable library

File the generated study tools and your notes to storage, so next term starts from a library instead of a blank folder.

What it reads against

Education work is only as good as its sources.

The reference collections this job draws on. Each is a page you can open and read before you trust a single answer.

What a programme actually teaches, read from the institution rather than a directory's summary of it.

Product manuals and book-length texts read page by page — including the ones published only as documents.

Open-access research read in full — with the datasets a finding rests on kept alongside the write-up.

Collections are libraries the workspaces read from, kept as what they are rather than flattened into one pile. See the full collection breakdown.

Questions

Frequently asked.

Can I generate quizzes and summaries from my own lecture material?
Yes. Learn reads the material you bring in — slides, readings, lecture notes — page by page, and can generate summaries, quizzes, flashcards and other study tools scoped to a specific unit or slide range.
Can I research a supporting example or reference for a lecture?
Yes. A research notebook lets you pull in current sources and drafts a synthesis with a citation on each claim, so you can bring an up-to-date example into class with its source attached.
Does this replace my own course design?
No. It turns your own material into study tools and helps you research supporting content — the syllabus, the pedagogy and what to teach stay your call.

For educators

Put it to work.

Request private access and we will walk through the workspaces this job runs on.

workspaces in access
3
workspaces in access
worked examples
2
worked examples
reference collections
3
reference collections

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