Module 1 · Foundations
What it is, how to feed it, and the settings that change everything.
The idea: your sources, one assistant
A grounded research assistant around YOUR material — and why each notebook should be one project.
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Next: Adding sources: Fast Research and YouTube →Was this clip helpful?
Adding sources: Fast Research and YouTube
Every source type, the Fast Research box that finds sources for you, and turning any captioned YouTube lecture into a source.
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Next: Two settings that fix vague answers →Was this clip helpful?
Two settings that fix vague answers
Source checkboxes control what the AI sees — and Configure Chat sets its role before you ask anything.
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What's free — and why it won't make things up
The full free-tier limits (100 notebooks, 50 sources, daily caps) — and the grounding promise: it tells you when something isn't in your sources.
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Next: Audio and Video Overviews →Was this clip helpful?
Check your sources before you trust them
Three built-in prompts that audit a notebook: Contradiction Scan (where sources disagree), Gap Analysis (what's missing), and Alternative Viewpoints (what's one-sided).
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Module 2 · The Studio outputs
Every output type — what it is, when to use it, and its catches.
Audio and Video Overviews
Papers become a two-host podcast; sources become short explainers — cinematic or whiteboard style.
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Next: Mind Maps: the whole field at a glance →Was this clip helpful?
Mind Maps: the whole field at a glance
The visual output — when a mind map beats a summary, and what it shows about your source coverage.
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Next: Slide Decks — and their one weakness →Was this clip helpful?
Slide Decks — and their one weakness
Generating decks the right way, and the catch: the export is static images (fixed in the next lesson).
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Next: Slide decks you can actually edit →Was this clip helpful?
Slide decks you can actually edit
The static-export problem solved: DeckEdit converts to real PowerPoint, plus template libraries for professional looks.
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Next: The documentary engine →Was this clip helpful?
The documentary engine
A real production workflow — NotebookLM's web search gathers sources and writes the research script for a full documentary.
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Next: Data Tables and your own experimental data →Was this clip helpful?
Module 3 · Data & research
Your own data, referenced tables, and the new agentic research.
Data Tables and your own experimental data
Referenced literature-review tables, and bringing your own CSVs into the notebook.
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Next: Agentic research: start with a loose idea →Was this clip helpful?
Agentic research: start with a loose idea
The biggest change: give it a rough idea and questions — it researches, finds sources, and organizes the work.
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Charts, spreadsheets and PDF reports from chat
Ask for a spreadsheet with formulas, a formatted PDF report, a chart — it writes and runs the code.
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Next: Your business data, analyzed →Was this clip helpful?
Your business data, analyzed
Upload a CSV, ask one multi-part business question, get charts, tables and a diagnostic report.
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Next: Study guides and practice quizzes →Was this clip helpful?
Module 4 · Study & exams
Turning raw notes into practice.
Study guides and practice quizzes
Raw lecture notes in, formatted study guide with practice quiz out.
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Next: Check your sources before you trust them →Was this clip helpful?