From your materials
The electron transport chain moves protons across the inner mitochondrial membrane. Their return through ATP synthase provides the energy used to form ATP.
Cell Biology · p. 18Lecture 04 · slide 12
AI Notetaking Agent · Learning intelligence
Turn your source material into a study system.
Study from your materials. Know when the model adds more.
Bring notes, documents, slides, scans, and images into one private workspace. Ask questions with traceable citations, choose the depth you need, and turn the same material into practice that responds to what you miss.
Intended user or buyer
For learners who need their notes and course materials to become usable study tools.
Designed for students and independent learners who want cited explanations, active-recall practice, and focused review without losing the boundary between their materials and added context.
StudentsIndependent learnersProfessional learnersAcademic support teams
Workflow problem
Study material is easy to collect and difficult to turn into a focused learning loop.
Notes, slides, documents, and images live in different formats. Learners must find the relevant passage, understand it, create practice, and decide what to revisit without losing source context.
From source to study loopOne workspace for understanding, practice, and recall.
The agent carries source context from ingestion through explanation and practice, so a question can become a cited answer, a review set, and a focused next step without losing its connection to the material.
Product interface preview
A realistic view of the work in progress.
The illustrative workspace uses representative content to show how evidence, state, and review decisions stay together.
Cell biologyStudy workspace
Sources readyYour question
How does the proton gradient help make ATP?
General model knowledge
Additional context is kept visually separate from evidence found in the uploaded materials.
Explain · Flashcards · Quiz · Study planPrivate workspace
Customer outcomes
What changes for the people doing the work.
Study from your materials. Know when the model adds more.
See where the answer came from.
Material-backed responses preserve the document, page, or section context instead of presenting an unsupported block of text.
Learn at the right depth.
Use a standard college explanation or request an advanced, PhD-level breakdown while keeping uploaded evidence distinct from broader model knowledge.
Turn content into active recall.
Generate and save flashcards and quizzes, revisit cards due today, and reveal harder multiple-choice answers only after committing to a choice.
Core workflow
From a raw file to a smarter next session.
Each stage preserves enough structure to ground the answer, generate relevant practice, and keep progress connected to the signed-in learner.
Capture
Upload notes, data, documents, slides, scans, or images and keep each source available inside the learner’s private workspace.
Prepare
Extract page-, slide-, section-, and image-aware text, including text from scans when needed, and prepare it for source search.
Explain
Find the most relevant source passages and return a cited answer with any added general context separated and labeled.
Adapt
Turn the topic into flashcards, quizzes, due-today review, or a study plan, and use missed concepts to focus the next learning cycle.
Capabilities
Built for the full arc of studying.
A multimodal ingestion and retrieval foundation supports grounded questions, reusable practice, and account-scoped learning history.
Bring the materials you already use
Ingest TXT, Markdown, CSV, PDF, DOCX, PPTX, PNG, JPG, WEBP, and TIFF files in the same learning workspace.
Read pages, slides, and images
Extract structured sections from documents and presentations, and apply OCR to images and scanned PDF content when text extraction is not enough.
Retrieve with traceable citations
Organize source content for search, then return material-backed answers with the relevant document, section, or page context.
Keep the knowledge boundary visible
Hybrid answers split “From your materials” from “General model knowledge” so added context never masquerades as uploaded evidence.
Build reusable practice
Create and save flashcards, quizzes, attempts, and plans, with due-today card scheduling for a simple spaced-review rhythm.
Respond to missed concepts
Carry quiz misses into focused review and study plans, turning performance from one session into direction for the next.
Example product output
Grounding you can see. Practice that adapts.
The workspace makes a deliberate distinction between retrieved evidence and useful outside context, then uses the learning record to shape what comes next.
- Source selection is refined before material is used in an answer.
- Citations preserve the document and its page, slide, or section context.
- Standard and advanced explanations serve different levels without blurring the source boundary.
- Saved misses can become focused review, flashcards, or a structured study plan.
Answer provenance
Visible by designMaterial answerDocument · page · section
General contextClearly labeled before it is shown
Source selectionBest-matching passages shown with context
Study responseStandard or advanced depth
AI Notetaking Agent · NeoTechSource