In short:

Upload your syllabus, lectures, and readings. Fabric becomes your personal tutor, one that's actually read all your course materials, remembers what you've studied, and can answer questions from your specific lectures and readings rather than from the internet. Ask it to explain a concept using your professor's framing. Ask it to find the exact passage you need for your essay. Ask it to quiz you on the last three weeks of material. It works because it's grounded in what you're actually studying, not in generic knowledge that might not match your course.

Plus Fabric is the workspace that holds everything: lecture recordings with searchable transcripts, annotated readings, study notes, coursework, and group project files, all in one place, all searchable by meaning across every subject.

A tutor that actually knows your course

The AI assistant works from your materials, not from the web. Upload the syllabus and it knows the course structure. Add the readings and it knows the arguments. Record the lectures and it knows what your professor said, including the tangents, the emphasis, and the clarifications that aren't in the textbook.

Ask it to explain a concept using the lecturer's own framing. Ask it to find the relevant passage in the week 4 reading for your essay. Ask it to compare how two readings address the same question. Ask it to quiz you on the material from the last three lectures. Every answer is grounded in your course materials and cites the source: the page, the slide, the timestamp.

The assistant has memory across sessions. It remembers what you've studied, what you've asked, and what you've struggled with. It adapts to your learning rather than resetting every conversation.

Record every lecture, search any moment

Your typed notes are always partial. You can't type as fast as a lecturer talks, and the thing you missed is the thing you need most during revision.

AI voice notes record and transcribe any lecture, in person or remote, without a meeting bot. Hit record on your laptop or phone. The full lecture is transcribed with timestamps. Your typed notes and the transcript merge into a single document: what you captured and what the recording captured, together and searchable.

AI search finds any moment across every lecture you've recorded. Ask "when did we cover the Krebs cycle" or "the part about supply elasticity" and find the exact timestamp from the exact lecture. No scrubbing. No re-listening. The search works by meaning, so it finds the right moment even when the professor used different phrasing.

For the full lecture capture workflow, see lecture notes.

All your course materials in one searchable place

Slides from the course portal. Readings as PDFs. Textbook chapters as ebooks. Articles from the reading list. Notes from seminars. Photos of the whiteboard. Each in a different app, a different folder, a different format. Finding the right reading for the right week means remembering where you put it.

Fabric holds all of it in one workspace per course. AI search reads inside every PDF, slide deck, ebook, note, and transcript and searches by meaning. "The reading about cognitive load theory" finds the PDF. "My notes from the week 6 seminar" finds the note. "The diagram from the lecture slides about cell division" finds the slide. One search bar for everything.

Smart organization tags materials by content and topic automatically. Group materials by module or week using spaces. Fabric syncs across devices, so notes from your laptop are searchable on your phone.

Annotate readings and remember why they matter

Readings are only useful if you can find the relevant parts later. Annotations let you highlight and comment directly on any PDF, article, or ebook. Mark the key argument. Flag the passage for your essay. Note the connection to another reading. Your annotations are searchable across every reading in your library.

Read saved articles and ebooks in the reader for a clean, distraction-free experience with read time estimates. Your highlights and notes stay attached and are searchable alongside your other materials.

When you're writing an essay and need "the passage about institutional bias in the week 3 reading," search for the concept and find the highlight, the annotation, and the source together. For managing academic papers specifically, see research papers.

Study smarter with the AI

The AI assistant isn't just for answering questions. It's a study tool.

Quiz you. Ask it to test you on the material from a specific lecture, a reading, or a whole module. It generates questions from your actual content.

Explain what you don't understand. Ask it to explain a concept using the lecturer's framing and the readings. The explanation is grounded in your course, not a generic Wikipedia-level summary.

Find connections. Ask it to connect ideas across lectures, readings, and your notes. "How does the concept from week 2 relate to the case study from week 7?" draws from the actual materials.

Prepare for exams. Ask it to summarise the key themes across a module, identify the most important arguments from the readings, or create a study guide from the full semester's material.

Write alongside your research

Write essays, coursework, and dissertations in notes and docs with your readings, lectures, and notes searchable alongside. When you need to verify a claim, find a citation, or check what a reading said, search without leaving the draft. The AI can help develop an argument by surfacing relevant material from your library.

For spatial planning, the canvas lets you map essay structure, arrange sources, and see the shape of an argument visually.

Start with a template: Cornell method lecture notes, SQ3R study notes, essay outline, dissertation chapter planner, literature review, or book notes.

Capture ideas anywhere

Quick capture and the mobile app let you record a voice note, photograph a whiteboard, type a thought, or save a link in seconds. Everything syncs to your workspace and is searchable alongside your course materials.

Forward reading recommendations and course emails to email-to-note. Save articles from the web with the web clipper. The captures feed the same library the AI studies from, so every new source makes the tutor smarter about your course.

Collaborate on group projects

Share a space with your study group or project team. Everyone adds materials, notes, and research. The AI searches across everything the group has collected. Real-time collaboration supports working on notes and the canvas together.

For the full group work workflow, see group projects.

Use cases for students

The workflows students run in Fabric: studying and exam prep with AI-powered review, recording and searching lecture notes, managing readings and research papers, conducting literature reviews, writing a dissertation or thesis, collaborating on group projects, building a personal reading library, and creating a second brain that compounds across your degree.

For structured study approaches, see the guides to student study system, the Cornell method, note-taking basics, and building a second brain. For academic research, see the research workflow and dissertation workflow guides.