AI Tutor

In 1984, Benjamin Bloom found that students who received one-on-one tutoring performed better than 98% of students in conventional classrooms. The problem was that one-on-one tutoring requires one teacher per student, which no education system can afford. In June 2025, a Harvard randomised controlled trial found that students learned roughly twice as much per hour with an AI tutor as with Harvard's own active-learning classroom. The AI tutor worked because it captured the same mechanisms: immediate feedback, adaptive pacing, active recall, and Socratic questioning.

But most AI tutors have a gap that Bloom's human tutors did not. They don't know your course. They answer from training data, not from your syllabus, your readings, or your professor's specific framing of a concept. The distinction matters because university courses are built around specific readings, particular theoretical positions, and lecturers who emphasise different things from the textbook.

Fabric closes that gap. Upload your syllabus, lecture slides, and readings. Your AI tutor absorbs everything and becomes a subject matter expert in your specific course. It answers from your assigned materials, cites the page or timestamp, and remembers what you've studied across sessions. You can read the full research behind this in the Bloom's two sigma problem guide.

Grounded in your materials, not the internet

The AI tutor works from what you've uploaded: your syllabus, your assigned readings, your lecture transcripts, your notes. Ask it to explain a concept and it uses your lecturer's framing from the transcript. Ask it to find a passage for your essay and it cites the exact page from the exact reading. Ask it to compare how two readings on your list address the same question and it pulls from both with citations.

This is what separates a tutor grounded in your course from a generic chatbot. ChatGPT might know the broad outlines of your subject, but it hasn't read your week 4 reading that argues something your week 6 reading contradicts, and it doesn't know that working through that contradiction is the point of the essay due Friday. Your Fabric tutor has read both. See a detailed comparison of Fabric and ChatGPT.

Memory across sessions

Your AI tutor doesn't reset with every conversation. It remembers what you've studied, what you've asked, and what you've struggled with. Over time, it adapts to your learning in the same way a human tutor builds understanding of a student. The compounding effect that Bloom observed, where the accumulated knowledge between tutor and student made each session more effective than the last, has a structural parallel here: your tutor gets better as your library gets richer.

Multiple AI models

Choose from Gemini, Claude, GPT, and other models depending on the task. Different models have different strengths, and you can switch between them within the same workspace. Your materials stay the same. The tutor's knowledge of your course stays the same. The model powering the conversation is the variable you control.

How it works as a study tool

Quiz you on your material. Ask your tutor to test you on a specific lecture, a reading, a module, or the full semester. It generates questions from your actual content, not from a generic question bank. The retrieval practice that Bloom identified as one of tutoring's key mechanisms is built into every quiz session.

Explain what you don't understand. Ask your tutor to explain a concept using your lecturer's framing and the assigned readings. The explanation is grounded in your course, not a generic summary that might use different terminology or take a different theoretical position.

Find connections across your course. Ask your tutor 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 and cites what it finds.

Prepare you for exams. Ask your tutor to summarise key themes across a module, identify the most important arguments from the readings, or create a study guide from the full semester's material. It draws from everything in your library.

Find the passage you need. Ask your tutor to find the relevant passage from a specific reading for your essay. It searches by meaning across every PDF, slide deck, ebook, note, and transcript in your library and cites the exact source.

The workspace around the tutor

The AI tutor is one part of a complete study system. Fabric is also the workspace that holds everything:

Record lectures with AI voice notes. Bot-free recording and transcription. Your typed notes and the transcript merge into one searchable document. See lecture notes.

Search by meaning across every PDF, slide deck, ebook, note, and transcript with AI search. "The reading about cognitive load theory" finds the PDF. "When we covered the Krebs cycle" finds the timestamp.

Annotate readings with annotations that are searchable across your library. Your tutor can reference your highlights when answering questions.

Read in focus with the reader for a distraction-free experience with estimated read times.

Map arguments visually on the canvas. Arrange sources, evidence, and essay structure spatially.

Capture anywhere with quick capture and the mobile app. Voice notes, whiteboard photos, saved links, all feeding the library your tutor studies from.

Collaborate on group projects with shared spaces and real-time collaboration.

A library that compounds across your degree

Every lecture you record, every reading you annotate, every note you write deepens the context your AI tutor can draw on. A question asked in your final year draws from everything you've studied across your entire degree. The investment in capturing materials compounds across your degree into a personal knowledge base that no generic AI can replicate.

AI tutoring by subject

The tutor adapts to your discipline because it's read your discipline's materials. See how it works for specific subjects:

High volume, high fit: Law · Medicine · Nursing · Computer science · Engineering · Business and MBA · Psychology · Architecture

Strong fit: Biology · Chemistry · Physics · Mathematics · Economics · Political science · History · English and literature · Philosophy · Education

Specialist: Pharmacy · Dentistry · Veterinary · Social work · Art and design · Music · Journalism · Film and media

How this is different from other AI tutors

ChatGPT answers from its training data. It might know the broad outlines of your subject, but it hasn't read your syllabus, your readings, or your lecture transcripts. Your Fabric tutor answers from your materials with citations. See Fabric vs ChatGPT.

NotebookLM is per-project with up to 300 sources per notebook. Fabric is a persistent library across your entire degree. NotebookLM doesn't record lectures, annotate documents, or provide a study workspace. See Fabric vs NotebookLM.

Khanmigo tutors from Khan Academy's curated curriculum and is designed primarily for K-12 students. Your Fabric tutor answers from your own uploaded materials, making it suited to university-level courses with specific readings and frameworks. See Fabric vs Khanmigo.

StudyFetch focuses on flashcard generation and quiz creation. Fabric is a full workspace with lecture recording, annotations, a reader, canvas, and an AI tutor with memory across sessions grounded in your complete library. See Fabric vs StudyFetch.

Templates for structured studying

Start with a template designed for academic work: Cornell method lecture notes, SQ3R study notes, essay outline, dissertation chapter planner, literature review, or book notes. Browse the full template marketplace.

Related resources

For the full student workspace, see Fabric for students. For specific study workflows, see studying and exam prep, literature reviews, dissertations, and group projects. For the research behind AI tutoring, see the Bloom's two sigma problem guide.

For study approaches, see student study system, the Cornell method, note-taking basics, and building a second brain. Related blog posts: How to remember what you learn, What is blurting?, The memory is the moat.

Students managing ADHD benefit from automatic organisation, a distraction-free reader, and a tutor with memory so you don't have to track everything yourself.

Get started

Upload your syllabus and give yourself an AI tutor that knows your course. Try Fabric free.

Comparing tools? See the best AI tutor, the best AI study app, and the best AI note-taking app for students. See how Fabric compares to TurboLearn, StudyFetch, Khanmigo, NotebookLM, and ChatGPT.

FAQs

How is this different from ChatGPT?

ChatGPT answers from its training data. Your Fabric AI tutor answers from your materials: your syllabus, your readings, your lecture transcripts, your notes. Every answer cites a specific page, slide, or timestamp from your course. See Fabric vs ChatGPT.

How is this different from NotebookLM?

NotebookLM is per-project with up to 300 sources per notebook. Fabric is a persistent library across your entire degree with lecture recording, annotations, a reader, and memory across sessions. See Fabric vs NotebookLM.

How is this different from Khanmigo?

Khanmigo tutors from Khan Academy's curated curriculum for K-12. Fabric's AI tutor answers from your own uploaded materials, suited to university courses with specific readings and frameworks. See Fabric vs Khanmigo.

Can the AI tutor quiz me on my course material?

Yes. Ask it to test you on a lecture, a reading, a module, or the full semester. It generates questions from your actual content with retrieval practice built into every session.

Does the AI tutor remember what I've studied?

Yes. The tutor has memory across sessions. It remembers what you've asked, what you've struggled with, and what you've covered. It adapts over time.

Can I choose which AI model to use?

Yes. Choose from Gemini, Claude, GPT, and other models. Different models have different strengths. Your materials and the tutor's knowledge of your course stay the same regardless of which model you use.

Can I record and transcribe lectures?

Yes. AI voice notes record and transcribe any lecture with timestamps. No meeting bot required. Your typed notes and the transcript merge into one document.

Can I search across all my course materials?

Yes. AI search reads inside every PDF, slide deck, ebook, note, and transcript. One search bar for everything, searchable by meaning.

Does the tutor get better over time?

Yes. Every lecture, reading, and note you add deepens the context the tutor can draw on. A question in your final year draws from every course across your degree. The library compounds.

What's the research behind this?

Bloom's 1984 study found one-on-one tutoring produces a two sigma improvement. A 2025 Harvard RCT found AI tutoring doubled the learning rate compared to active-learning classrooms. Read the full analysis in the Bloom's two sigma problem guide.

Is this just for students?

Primarily, though the same approach works for anyone learning from a body of material: professional development, certification prep, self-directed learning. The AI tutor is grounded in whatever you upload.

Is Fabric free for students?

Fabric has a generous free plan. The Plus plan is $5/month for students who need more. See pricing.

Is my coursework private?

Yes. Your content is encrypted and only visible to you unless you choose to share a space. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.