Tracks learning progress and generates personalized daily learning insights using RAG to fetch relevant content from blogs, RSS feeds, and Reddit based on your current topics and learning goals.
Turns any source material into a guided learning experience with learning maps, notes, four-phase study loop, spaced repetition flashcards, and grounded Q\&A.
Converts study materials like PDFs, slides, and DOCX into a searchable vector database with semantic search, summarization, and flashcard generation, integrated with Notion.
Transforms documentation repositories into interactive educational content and provides standardized access to AI-generated structured courses through MCP protocol. Generates multi-complexity learning paths from docs and enables AI tutoring applications to interact with course content.
Combines YouTube subtitle extraction, Wikipedia concept lookup, and arXiv paper search into one pipeline without any API keys, enabling generation of comprehensive study notes from a single YouTube URL.