Main axis
The knowledge workbench
Upload your books, slides, notes. Notedeck builds a per-document knowledge graph and lets you navigate, ask questions, and find what you've already forgotten. Same shape as NotebookLM, deeper structure.
Notedeck A workbench for your own knowledge.
Notedeck ingests the books, papers, and notes you already have — and turns them into something you can chat with, explore, drill on, and have an AI tutor teach you from. Not a curriculum. Yours.
Three pillars,
one workbench.
Flagship
AI Tutor classroom
Pick a document. Notedeck generates slides, narrates a lesson, and pauses when you raise your hand. Real one-on-one, generated on demand from the materials you uploaded — never from a fixed curriculum.
Advanced
Cross-library analysis
Once you have multiple knowledge bases, Notedeck finds bridges between them — same concept, different framings; contradictions you didn't see; gaps one library is hiding from the other.
Adults who bring their own materials.
Notedeck is built for people preparing for an official certification (CFA, PMP, medical boards, AWS, bar exam), researchers who keep a library of papers and memos, and self-learners who want to make their own reading actually stick.
It's deliberately not built for K-12 study apps, TikTok-driven impulse learners, or platforms looking to push their own curriculum. The shape of your knowledge comes from what you've brought — not from what someone else thinks you should learn.
No syllabus. No standard ontology. No "right way."
Just the books you brought, given a place to attach
and time to grow into something.
One memory that spans every session.
Under everything sits a holistic memory — one per knowledge domain, shared by the AI tutor, your document chats, and analysis. It extracts what landed and what tripped you up from each interaction, recalls what is relevant, and tunes explanation depth to you. Long-term, cross-channel, and personal — the way Claude Code remembers a codebase, Notedeck remembers how you learn. Generic AI chat forgets you every session; this is vibe learning.
One memory, every feature
The same per-domain memory powers the tutor, document chat, and cross-library analysis — not a fresh blank context each time.
It learns what you learned
Every session is mined for what you grasped and where you stumbled, then recalled by relevance when it matters.
Adapts to your depth
It reads your signals and meets you where you are, so the next lesson starts where you actually left off.
Your scattered Q&A, organized into a living wiki.
After chatting across the tutor and your documents, the answers scatter into endless scroll-back. The Study Wiki is the human-readable face of your memory: an LLM keeps weaving your Q&A into structured, interlinked knowledge pages — grouped by domain (physics, finance, work…), built only from what you actually asked, never scraped from the source files. The systematic record a chat with ChatGPT or Claude never leaves behind.
Only from your Q&A
Built from what you asked, never scraped from the uploaded files — it mirrors your thinking, not the source.
Organized by domain
Questions scattered across sessions become coherent, interlinked pages, one knowledge domain at a time.
A projection of your memory
It is the browsable face of the same memory that drives the tutor — one click keeps it fresh.