Google NotebookLM Review
Google NotebookLM
Internal documents become a searchable knowledge source.
Upload documents, ask questions, generate summaries. Turns internal documents into a searchable knowledge source.
01 – Overview
What is Google NotebookLM?
NotebookLM works exclusively on uploaded sources and backs answers with citations – significantly reducing hallucinations.
At the hackathon, teams use NotebookLM in the research phase to quickly digest market studies, guidelines, or process documents.
02 – Usage profile
Ideal usage profile
For strategy, research, and compliance roles with a high volume of documents.
03 – Features
Key Features
The features that make the biggest difference in hackathons.
- Answers with source citations
- Summaries of long documents
- Audio overviews
- Shared notebooks
- Many file formats
- Questions across multiple sources
04 – Pricing
Pricing
Google NotebookLM states the current prices and plans on its own website. View pricing on the website
Licenses included at Corporathon
All participants get the credits for Google NotebookLM, no procurement needed on your side.
05 – Alternatives
What are alternatives to Google NotebookLM?
Comparable tools from the same field.
Google Workspace AI
Gemini in Gmail, Docs, Sheets, and Slides.
Category: Productivity Suite AI
Custom GPTs
Custom assistants with their own knowledge – no code.
Category: Domain-Specific AI Assistants
Microsoft Copilot
AI directly in Teams, Outlook, Word, Excel, and PowerPoint.
Category: Microsoft 365 AI Assistant
06 – Setup
How easy is it to set up Google NotebookLM?
How much prior knowledge and preparation it takes before the tool runs in production.
Complexity
Beginner
Upload sources and start. For sensitive documents, clarify approval beforehand.
07 – FAQ
Frequently asked questions.
The most common questions about Google NotebookLM from our hackathons.
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What other customers say
Voices from real Corporathons.
Verbatim excerpts from public LinkedIn posts by participants.
„24 hours in our office. Pizza everywhere. 5 teams racing to build something real with AI."
Marie Klamer
YOYABA · LinkedIn-Beitrag
„Turns out that's all it takes to go from "I should really learn AI" to actually shipping a working product. No coding experience needed."
Marie Klamer
YOYABA · LinkedIn-Beitrag
„By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own."
Okechukwu Ukaigwe
NavVis · LinkedIn-Beitrag
„You don't need months of preparation. Just a team, a bit of chaos, and the willingness to start."
Lisa Kral
YOYABA · LinkedIn-Beitrag
„24 hours in our office. Pizza everywhere. 5 teams racing to build something real with AI."
Marie Klamer
YOYABA · LinkedIn-Beitrag
„Turns out that's all it takes to go from "I should really learn AI" to actually shipping a working product. No coding experience needed."
Marie Klamer
YOYABA · LinkedIn-Beitrag
„By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own."
Okechukwu Ukaigwe
NavVis · LinkedIn-Beitrag
„You don't need months of preparation. Just a team, a bit of chaos, and the willingness to start."
Lisa Kral
YOYABA · LinkedIn-Beitrag