NotebookLM became my all-star assistant in 2024


NotebookLM became my all-star assistant in 2024

Google's Audio Overview transforms your meeting notes into engaging podcasts

Between juggling work and personal endeavors, there were times when my brain felt overloaded in 2024. On the work front, many of my research sources, documents, and meeting notes held valuable information, but synthesizing it all wasn't easy. I've used NotebookLM for Android Police since it launched, mainly for experimentation and testing. Then, I decided to try it on a larger scale.

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NotebookLM became my second brain. This notebook stores everything, connects the dots, summarizes key points, and answers questions. It became my command center for diverse sources, from meeting notes to project plans, research articles, and random brainstorms. Instead of drowning in information, NotebookLM made managing a ton of data possible without losing focus.

Related Google Gemini: Everything you need to know about Google's next-gen multimodal AI

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Posts 5 It became my information warehouse Google's AI notebook became my smart repository

NotebookLM quickly became my go-to tool for capturing a range of data from diverse sources. It wasn't only for meeting minutes. I use it to document processes, keep track of important links, upload documents, reference videos and my files on Drive, and more.

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NotebookLM supports a variety of file types and sources. You can include Google Docs, Google Slides, PDFs, text files, Markdown files, web URLs, copy-pasted text, YouTube URLs, and audio files, which are transcribed upon upload. However, there are limitations. For web content and videos, only the text and transcripts are used. Not all file formats are supported, nor are paywall web pages. The maximum number of sources you can add to a single notebook is 100, but that's more than I need.

4 It synthesized my notes The platform crystallized my hasty scribbles

NotebookLM connected the dots. By tapping related notes into a Notebook (such as notes for a specific project), I saw the big picture and the small details. It was like having a personal assistant who organized and cross-referenced everything.

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The summarization feature was another nice benefit. Instead of reading through pages of notes, I asked NotebookLM to create concise summaries, saving time. With a simple prompt, NotebookLM condensed key steps and considerations into a digestible summary, ready to share with others.

3 It distilled external sources into important points Research didn't turn into a rabbit hole

Research used to feel like falling down a rabbit hole. Now, when I explore a new topic, service, or tool, I throw all my sources and findings into NotebookLM. The AI surfaces what matters and is easy to query with follow-up questions.

Beyond summarizing research information, NotebookLM helped me understand it. Instead of getting lost in the weeds, I made connections I might have missed. It allowed me to spend more time focusing on analysis and action.

2 It enhanced my collaboration skills Taking action on teamwork got easier ✕ Remove Ads

NotebookLM was a benefit for collaboration. Getting everyone on the same page became simpler. After a brainstorming session, for example, I uploaded the meeting transcript and used NotebookLM to generate a concise summary of ideas discussed, decisions, and next steps. I then shared the summary with my collaborators.

I could also share complete notebooks using the same process you would to share any Google Doc. I'd like to use this feature more often in the future. For example, the shared workspace could transform close collaboration with immediate team members.

1 I stayed calm under pressure Working smarter got easier

NotebookLM eliminated the panic when retrieving long-forgotten information. Within seconds, I found details from months-old meetings and facts buried in research documents. By allowing me to recall details instantly under pressure, NotebookLM helped me work smarter in 2024.

Think of it this way: NotebookLM keeps you from swapping back and forth between dozens of sources on different systems. With information from the web, video links, and your notes stored alongside uploaded documents, frantic clicking and the stress of remembering where you saw this or that are reduced.

✕ Remove Ads Audio Overviews weren't the main character

Audio Overviews are awesome. They take bland information, riff on it between two virtual hosts, and create a dynamic and engaging personal podcast. This could be a great study tool and is just plain cool.

Related Google's Audio Overview transforms your meeting notes into engaging podcasts

Make everything a podcast

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Including Audio Overviews in NotebookLM has been marketing gold for Google. For me, Audio Overviews remain more of a novelty. It isn't only a go-to feature in my day-to-day applications of synthesizing and analyzing information. On the other hand, if I were a social media content creator, I'd be jazzed about the potential to crank out good original content without a big production team.

Can you trust NotebookLM with your information?

NotebookLM data is protected by Google's general security measures, which include encryption and multifactor authentication. Google also says it doesn't use user data to train its AI models without consent.

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However, storing sensitive information in any cloud-based service, including NotebookLM, has risks. These include data breaches and unauthorized access, resulting in the potential misuse of your data. For this reason, I don't recommend storing anything sensitive in NotebookLM.

The true value of NotebookLM

NotebookLM became a go-to tool for me in 2024. I frequently used it alongside Gemini, which I rely on for general run-of-web insights. It helped me conquer information overload by acting as a central hub for my notes, research, and documents. The AI-powered features like summarization and connecting related ideas helped me get better results faster. Whether collaborating or recalling a detail from a past meeting, NotebookLM made me more efficient and effective. While the Audio Overviews are a fun feature, the real value lies in ingesting personal datasets and everything it unlocks.

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