Upload a PDF, article, note, course caption, or podcast transcript. LearnBook compiles it into a cited reader with AI Q&A, notes, quizzes, flashcards, and review progress.
Compile a learning source
Drop a file or paste a source link
Experiments estimate causal effects by comparing outcomes across groups. When assignment is random, each group is expected to be similar before treatment.
Random assignment reduces selection bias and makes the observed difference easier to interpret as a causal effect.
Every source becomes a book with traceable citations, active recall, notes, and review history.
Ask questions against the current paragraph, chapter, or full book. Answers keep citations attached.
Highlights, notes, concepts, tags, and semantic search accumulate across every book.
Generate quizzes and flashcards from cited passages, then schedule spaced repetition.
Papers, textbooks, ebooks, and manuals
Articles, documentation, and clipped references
Class notes, markdown, pasted fragments
Lecture captions and course transcripts
Long-form audio transcripts and interviews
WorkAgentJob pipeline
Long-running parsing, indexing, transcript processing, quiz generation, and review scheduling run as auditable jobs so failures stay visible.
Table of contents, source text, AI Tutor, citations, notes, quizzes, and review actions work together. Every answer and practice item can return to its source.
Interactive library
Citation context
Structured learning objects
Review schedule
Notes and highlights
Quiz and weak points
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