Gemini Notebook
Google's free AI research co-pilot — source-grounded briefings, deep research, and code execution (formerly NotebookLM)
What Gemini Notebook is
Gemini Notebook (formerly NotebookLM, renamed July 2026) is Google's source-grounded AI research tool: upload PDFs, Google Docs, YouTube links, or web pages, then ask questions, generate Audio Overviews (podcast-style briefings), run Deep Research reports, build slide decks, or run code — all grounded strictly in your uploaded sources. The free tier covers 100 notebooks and 50 sources each; paid plans (Plus at $4.99/mo via Google AI Plus, Pro at $19.99/mo, Ultra at $99.99/mo or $199.99/mo) increase limits and add Gemini 3, code execution, and higher storage. All plans include the 1-million-token context window.
Key features
- Audio Overviews: generate a two-host podcast-style briefing from any source set in one click
- Deep Research: structured multi-source research reports grounded only in your uploaded materials
- Video Overviews and Slide Decks generated directly from your notebook sources
- Source-grounded chat — every answer cites the exact source passage, no hallucinated external facts
- Accepts PDFs, Google Docs, YouTube links, web pages, and plain text up to 500,000 words per source
- 1-million-token context window on all plans (including free)
- Code execution: built-in cloud computer writes and runs code grounded in your uploaded sources (added July 2026)
💰 Sell it as a service
The offer
Package a 'Research-to-Content System' for coaches and consultants: set up a Gemini Notebook workspace pre-loaded with their key sources (course materials, transcripts, research reports), build a repeatable workflow for generating briefings and outlines, and produce the first 3 Audio Overviews as proof-of-concept deliverables.
What to charge
$750-$1,500 one-time setup: source audit, notebook architecture, workflow SOP, and 3 starter Audio Overviews. Ongoing at $300-$500/mo covers monthly source updates, new research batches, and Audio Overview production for newsletters or podcast prep. Position it against the $2,000+/mo research assistants coaches currently pay.
How it gets delivered
Setup is a half-day task: gather existing source materials, organize into topic notebooks, document the research-to-output workflow. Ongoing work is mostly source maintenance and prompting for new content deliverables — low fulfillment overhead once the system is running.
This is one offer. AI Operator Academy is where operators build the full stack — packaging, pricing, fulfillment, and a peer group selling the same services. $999/yr.
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