Google's NotebookLM: Revolutionizing AI-Powered Productivity and Research

NotebookLM Is My All-Time Favorite AI Tool and Its New Features Make It Even Better

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a keyboard, you'll most likely find him playing video games, watching horror flicks, or hunting down a good churro. I'd always liked the idea of NotebookLM and had enjoyed playing around with it during its early days, but after revisiting it recently, it's become my favorite AI tool, ever. It's no longer something that I just tinker around with every once in a while, but an indispensable tool that I now use nearly every day. Powered by Google's Gemini AI, it can break down complex subjects into an easy-to-understand format, or even help you brainstorm new ideas. Even better, there's now a mobile app for iOS and Android, and new features were just announced during Google I/O earlier this month. It keeps getting better without feeling like it's becoming overstuffed with featured just for the sake of it. NotebookLM isn't just Google Keep stuffed with AI, nor is it just a chatbot that can take notes. It's both and neither. Instead of asking questions to Gemini, only for it to find an answer from the ether of the internet, NotebookLM will only search through the sources that you provide it. It's a dead simple concept that feels like one of the most practical uses of AI, giving way to the perfect study buddy for classes or work. And Google didn't stop there. Now it can do so much more, and will reward your poking around to see what it can do for you. And features like its impressive Audio Overviews have since trickled down into Gemini itself, allowing it to be used in a much wider set of Google's products. Below, I'll cover some of NotebookLM's most interesting features (including the newly announced ones) and how it became one of my favorite AI tools to use. For more, don't miss Google's smart glasses plans with AndroidXR. NotebookLM is a Gemini-powered note-taking and research assistant tool that can be used in a multitude of ways. It all starts with the sources you feed it, whether they're webpage URLs, YouTube videos or audio clips, allowing you to pull multiple sources together into a cohesive package and bring some organization to your scattered thoughts or notes. The most obvious use case for NotebookLM is using it for school or work. Think of it -- you've kept up with countless classes and typed notes down for every one and even perhaps recorded some lectures. Sifting through everything individually can eventually get you to some semblance of understanding, but what if you could get them to work together? Once you've uploaded your sources, Gemini will get to work to create an overall summary of the material. From there, you can begin asking Gemini questions about specific topics on the sources and information from the sources will be displayed in an easy-to-understand format. This alone may be enough for some people just looking to get the most out of their notes, but that's really just scratching the surface. NotebookLM has been available for a while now on the desktop and is broken into a three-pane layout, consisting of Source, Chat and Studio panels. Both the Source and Studio panels are collapsible, so you can have a full-screen chat experience if you prefer. While the Source and Chat panels are pretty self-explanatory, the Studio panel is where magic can happen (though some of the features can also be created directly from the Chat panel). This is where you can get the most out of your NotebookLM experience. Those familiar with the desktop experience will feel right at home with the new mobile apps for iOS and Android. The streamlined app allows you to switch between the Source, Chat and Studio panels via a menu at the bottom. When you go to the view that shows all of your notebooks, you'll see tabs for Recent, Shared, Title and Downloaded. While not everything is on the app yet, it's likely just a matter of time before it matches the web version's full functionality. If you didn't hear about NotebookLM when it was first announced, you likely did when Audio Overviews were released for it. Once you have at least one source uploaded, you can then opt to generate an Audio Overview, which will provide a "deep dive" on the source material. These overviews are created by none other than Gemini, and it's not just a quick summary of your material in audio format -- it's a full-blown podcast with two "hosts" that break down complex topics into easy-to-understand pieces of information. They're incredibly effective, too, often asking each other questions to dismantle certain topics. The default length of an Audio Overview will vary depending on how much material there is to go over and the complexity of the topic -- though I'm sure there are other factors at play. In my testing, a very short piece of text created a five-minute audio clip, whereas two lengthier and more dense Google Docs documents I uploaded created an 18-minute Overview. If you want a little more control on the length for your Audio Overview, you're in luck. Announced in a blog post during Google I/O earlier this month, users now have three options to choose from: shorter, default and longer. This is perfect if you either want to have a short and dense podcast-like experience of if you want to get into the nitty gritty on a subject with a longer Audio Overview. It gets even better. Last December, NotebookLM got a new design and new ways to interact with Audio Overviews. The customize button allows you to guide the conversation so that key points are covered. Type in your directive and then generate your Audio Overview. Now, if you want to make this feature even more interactive, you can choose the Interactive mode, which is still in beta, to join the conversation. The clip will play, and if you have a particular question in response to something that's said, you can click the join button. Once you do, the speakers will pause and acknowledge your presence and ask you to chime in with thoughts or questions, and you'll get a reply. I wanted to try something a little different, so I threw in the lyrics of a song as the only source, and the AI podcast duo began to dismantle the motivations and emotions behind the words. I used the join feature to point out a detail in the lyrics they didn't touch on, and the two began to dissect what my suggestion meant in the context of the writing. They then began linking the theme to other portions of the text. It was impressive to watch: They handled the emotional weight of the song so well, and tactfully at that. I'd heard interesting things about NotebookLM's Mind Map feature, but I wanted to go in blind when I tried it out, so I did a separate test. I took roughly 1,500 words of Homer's Odyssey and made that my only source. I then clicked the Mind Map button, and within seconds, an interactive and categorical breakdown of the text was displayed for me to poke around in. Many of the broken-down sections had subsections for deeper dives, some of which were dedicated to single lines for dissection. Clicking on a category or end-point of the map will open the chat with a prefilled prompt. I chose to dive into the line, "now without remedy," and once clicked, the chat portion of NotebookLM reopened with the prefilled prompt, "Discuss what these sources say about Now without remedy, in the larger context of [the subsection] Alternative (worse)." The full line was displayed, including who said it, what it was in response to and any motivations (or other references) for why the line was said in the text. If the combination of all that Audio Overviews and Mind Maps could do sounds like everything a student might need for the perfect study buddy, NotebookLM has a few other features that will solidify it in that place. After you've uploaded a source, you can create a quick study guide based on the material that will automatically provide a document with a quiz, potential essay questions, a glossary of key terms and answers for the quiz at the bottom. And if you want, you can even convert the study guide into a source for your notebook. Whether you're using it for school or want to create a FAQ page for your website, the NotebookLM button generates a series of potentially common questions based on your sources. If you're looking for a play-by-play sort of timeline, it's built right in. Creating a timeline for the Odyssey excerpt broke down main events in a bulleted list and placed them based on the times mentioned in the material. If an event takes place at an unspecified time, it will appear at the top of the timeline, stating this. A cast of characters for reference is also generated below the timeline of events. The briefing document is just what it sounds like, giving you a quick snapshot of the key themes and important events to get someone up to speed. This will include specific quotes from the source and their location. A summary of the material is also created at the bottom of the document. I already really liked NotebookLM's concept and execution during its 1.0 days, and revisiting the new features only strengthened my appreciation for it. My testing was mostly for fun and to see how this tool can flex, but using it when I "needed" it helped me really get an idea of how powerful it can be, even for simple things. During a product briefing, I did my typical note-taking: Open a Google Doc, start typing in fragmented thoughts on key points, and hope I could translate what I meant when I needed to refer back to them. I knew I would also receive an official press release, so I wasn't (too) worried about it, but I wanted to put NotebookLM to the test in a real-world situation when I was using it for real -- and not just tinkering, when nearly anything seems impressive when it does what you tell it to. I decided to create a new notebook and make my crude notes (which looked like a series of bad haikus at first glance) the only source, just to see what came out on the other end. Not only did NotebookLM fill in the blanks, but the overall summary read almost as well as the press release I received the following day. I was impressed. It felt like alchemy -- NotebookLM took some fairly unintelligible language and didn't just turn it into something passable, but rather, a pretty impressive description. Funny enough, I've since become a more thorough note-taker, but I'm relieved to know I have something that can save the day if I need it to. Another feature that was announced during Google I/O was Video Overviews, and it's exactly what it sounds like. There's currently no time frame outside of "coming soon" from the blog post, but it should be a good way to get a more visual experience from your notebooks. We'd previously heard that Video Overviews might be on the way, thanks to some sleuthing from Testing Catalog, which also mentions that the ability to make your notebooks publicly available and view an Editor's Picks list of notebooks will eventually make their way to NotebookLM. While we're waiting for the new features, here's a preview of a Video Overview below. Most individuals may never have the need to pay for NotebookLM, as the free feature is robust enough. But if you're using it for work and need to be able to add more sources or the option to share your notebook with multiple people, NotebookLM Plus is worth considering. It gives you more of everything while introducing more customization, additional privacy and security features as well as analytics. It's worth noting that NotebookLM Plus will also be packaged in with Google's new AI subscriptions.

Until NotebookLM, I never believed AI could be this game-changing for productivity

Slowly but surely, AI is beginning to reshape the way we work and even spend our day-to-day lives. Despite that, many still find it difficult to accept that it's here to stay. But the truth is, the further you try to run from artificial intelligence, the quicker you'll get left behind. That said, though AI models have been around for a while now, they're still far from perfect. The best way to describe them is as a work in progress. I've been on the AI train since the day it started making headlines. I'd try all the new tools, get disappointed, and end up thinking, "Hey, my perfectionist self can do this work a hundred times better." Everything changed when Google launched its AI-powered research assistant, NotebookLM. Sure, there are still moments when using certain AI tools makes me want to pull my hair out, but NotebookLM is the one tool that taught me that AI can indeed be a game-changer for productivity. Related I was missing out on these underrated NotebookLM features, and you probably are too Justice for these underrated features Posts 3 NotebookLM doesn't do the hard work for you It helps you learn faster, not cheat smarter Keeping in mind that I'm a full-time student, the AI tools that work best for me are study-focused. One of the first tools that comes up when I search for "best AI tools for studying" is ChatGPT. Here's my issue with ChatGPT-like AI tools: they're primarily designed to do the work for you. If you want an essay, just give ChatGPT a prompt. If you want to solve a math question, ChatGPT will break it down step by step. If you want to write an essay, ChatGPT to the rescue. Frankly, that's what the vast majority of students do with AI. I wanted a tool that helped me study, not cheat my way through it. I wouldn't have ChatGPT with me during my exams, so relying on it to do the work doesn't actually help me at all. Sure, it might get me an A on my assignment, and I might save a lot of hours. But in the long run, what good is that A or the hours I saved if I learned nothing? NotebookLM isn't just another AI tool that churns out information for you. Instead, it's designed to help you interact with information using AI. You provide the tool with the sources, and then it uses AI to manipulate them in different ways. For instance, it can turn them into AI-generated podcasts, called Audio Overviews. NotebookLM is more of a study buddy than a shortcut. It won't give you the answers you need to cheat. Instead, it'll help you make sense of complex materials and actually understand whatever you're studying or researching. For someone who wants to actively understand the research they're doing rather than just scrape by, this makes all the difference. It taught me not all AI models hallucinate Just tell me the truth, AI. Is that so hard? When I say I don't like most AI tools I've tried before, it's not because they don't give me valuable information. It's because, a lot of the time, the information they give me is simply not true. Take Google's AI Overview's recent hallucinations as an example. A couple of weeks ago, there was a funny trend online where typing a completely random sentence that vaguely sounded like an idiom into Google Search would trigger an AI Overview explaining it as if it were a real expression! Though that's just one example, no matter which AI tool I used, I noticed they all had instances of AI misinformation and sometimes telling me just what I wanted to hear. That works fine when you're just messing around. But when you can't afford inaccuracy, having to manually cross-check and verify information quickly gets frustrating. NotebookLM doesn't have this issue. Instead of generating responses by pulling information from the web or its own internal knowledge, NotebookLM relies solely on the documents you feed it or the information you share with it via chat. When the tool doesn't know the answer to your question, it won't make up information or try to guess just to please you. Instead, it'll tell you that what you're asking isn't mentioned anywhere in the sources you uploaded or your conversation history. With every response the tool gives you, a citation number will always be present alongside it. If it's a lengthy answer, there will be a citation number after every sentence. Hovering over a citation will reveal the exact text it used to generate the answer. And if you have multiple sources, all you need to do is click on one, and it'll take you right to the quoted text in the Sources panel. Related I finally started using NotebookLM and I should have sooner I'm officially a NotebookLM convert Posts 4 It's packed with features that make sense How did I ever survive without NotebookLM? Close NotebookLM offers features you typically don't find in other tools, and that are actually practical. Its Audio Overviews feature is what made it go viral, which converts your uploaded sources into AI-generated podcasts. These podcasts are genuinely fun to listen to, "hosted" by two virtual hosts who discuss your sources in an engaging and witty manner. They sprinkle in jokes every now and then to keep you engaged, making it the perfect way to get a quick overview of any document you have. There's also an interactive audio overview mode, which lets you jump into the podcast and ask any questions you may have. If you're not a big fan of podcasts, NotebookLM lets you convert your sources into mind maps too. Soon, it'll also let you convert sources into Video Overviews! It studies my sources so I don't have to It's like Ctrl+F, but way smarter I don't want AI to do the creative "thinking" part of my work or education. Instead, I'd prefer if it could handle the more boring, monotonous tasks. For example, say I studied something a couple of weeks ago and need to quickly revisit a subject. The lecture slides I have are 80 pages long. The last thing I want to do is go through all the pages just to find that one topic I want to refresh. Ctrl+F helps, but only if I remember the exact phrasing used in the slides. Instead of skimming through page after page, NotebookLM can help me within seconds. Since it is powered by AI, it understands the meaning behind my question. As shown in the image above, even if I phrase my question differently than the source, it'll pull up the exact solution I need. In the rare cases it can't, I'll simply ask it to summarize the entire document. What I need to study is bound to come up, and thanks to the citation that appears right next to it, all I need to do is click it, and I'll be redirected to the exact location of it in my sources. I can then ask all the follow-up questions I have. That's hours of manual work saved! Since NotebookLM is grounded within my sources, I don't even have to worry about it making things up. Related Forget Notion and Obsidian, 5 reasons Google's AI note-taking tool is the future of productivity NotebookLM is your next productivity powerhouse Posts 14 It's free and doesn't feel limited like other tools I'd honestly pay for this (but glad I don't have to) Though I'd willingly pay for tools that are worth it and significantly boost my productivity, I'd gladly pick the free or cheaper option if it did the job just as well (or better). For example, I recently ditched Goodnotes 6, which had been my go-to for years, for Notedrafts because it offered a $3 lifetime subscription. Nonetheless, I've been using NotebookLM shortly after it launched as an experimental project. Since then, Google introduced a paid tier: NotebookLM in Pro. For individual consumers, NotebookLM in Pro is available via Google One, which costs $19.99/month. With the premium tier, you get five times more Audio Overviews (20), queries (500), notebooks (500), and sources per notebook (400) than the free tier. For reference, you can create 100 notebooks, each with up to 50 sources, without upgrading. You can also create three Audio Overviews and get a daily limit of 50 chat queries. I've used NotebookLM the day before an exam during a cramming session where I was studying the entire course from scratch, and even then, I didn't hit the limits. Unless you're using NotebookLM in a team or organization, I doubt the average user would need to upgrade to the premium tier. Unlike other AI tools, NotebookLM doesn't lock its best features behind a paywall. So, if you have doubts about the tool, you can try it out without any commitments. I just hope this bit doesn't give the NotebookLM team ideas, and that they continue to keep it this way! Related These are the best AI tools that I use to boost my productivity Maybe you'll get some use out of them, too. Posts It works how I wish all AI tools worked NotebookLM is the one tool that truly convinced me AI can help you do more in less time. I just wish all other AI tools worked more like it!

NotebookLM is more powerful than I initially estimated

When Google first unveiled NotebookLM, I will admit, I was skeptical. I thought it would be another note-taking app with a few bells and whistles, but nothing groundbreaking. After all, I have used countless similar tools over the years, and most of them have fallen short of the hype. But when Google announced NotebookLM mobile apps, I decided to give it a genuine shot. I wanted to explore beyond the surface-level features, and what I discovered wasn't just another incremental improvement. I was genuinely blown away by how powerful and transformative NotebookLM proved to be. Related I started using NotebookLM with OneNote and here's how it went NotebookLM meets OneNote Posts 4 NotebookLM is more than just a basic summarization Handy during research Close I have tried Copilot in OneNote, Notion AI, Evernote AI, and a bunch of other AI note-taking tools. Most of them have a half-hearted implementation. They haven't been impactful in my workflow. However, that's not the case with NotebookLM. Of course, it doesn't go toe-to-toe with OneNote and Evernote, but Google's focus is completely different with this one. I can add as many sources as I want and create a summarization on a complex topic in no time. Whether I want to learn about Docker, self-hosting, the latest tools like Framer, a recent Python integration in Excel, or even research on a specific thing like a car model, NotebookLM has been quite helpful in extracting meaningful information. Last month, I was researching an SUV called Volkswagen Taigun. Instead of finding the required information from the official brochure, YouTube videos, and text reviews, I created a new notebook in NotebookLM for it and started adding new sources. Now, instead of wasting time reviewing dozens of paragraphs and YouTube videos, I asked the following questions, and it gave me astute answers in no time. How's the backseat experience in Taigun? What's the real-world fuel economy for the 1.0L automatic variant? What's the turning radius of Taigin? How's the AC performance in peak summers? What's the kerb weight? And more! The possibilities are endless with this one. I clicked Discover, entered the car model, and NotebookLM displayed all the relevant articles and user reviews from different forums on the web. Neat, isn't it? I was also surprised when I asked for the kerb weight of the vehicle. It showed a detailed breakdown of kerb weight for each variant. Once my notebook is ready with relevant sources, chat history, audio overview, and mindmaps, I can share it with my team and family members effortlessly. I don't have to send each source manually over WhatsApp and other social media platforms. Audio overview has been an eye-opener Podcasts are back, but not in a way you think While all of NotebookLM's features impressed me, the Audio Overview capability stood out in a way I never anticipated. It's not a robotic text-to-speech summary. NotebookLM creates a dynamic, engaging, two-AI-host podcast-style discussion based on my uploaded sources. I was recently trying to get up to speed on the latest developments in sustainable urban planning for a personal project. I had a stack of dense PDFs with academic papers, government reports, and even a few lengthy urban development proposals. Normally, I'd print them out, highlight, make notes, and spend hours trying to piece together the key themes. It's a slow process. Instead, I uploaded all these documents to NotebookLM and generated an audio overview with a single click. Two AI voices, one male and one female, began discussing the core concepts from my sources. They talked about circular economy principles in city design, the challenges of green infrastructure implementation, and the latest trends in smart cities. I can even download the entire clip and hear the entire conversation on the go. Related 9 things to look for when picking up a note-taking tool Don't invest in a note-taking app until you check into these things Posts 1 The future is bright for NotebookLM Still has a long way to go Google recently released NotebookLM on mobile platforms. Being able to access this powerful AI assistant on the go, to listen to those incredible audio overviews while commuting or simply away from my desk, is a game-changer for how I manage information and learn. Unlike other tools, it feels like Google is committed to making this an AI-powered ecosystem. Looking ahead, I'm particularly eager to see more robust formatting options when creating notes directly within NotebookLM, mobile widgets, and full-fledged support for directly embedding and analyzing images, charts, and diagrams. I can't wait to see what comes next; NotebookLM is already so impressive, and it's clearly just getting started. Beyond the hype Overall, my early skepticism about NotebookLM was just plain wrong. Google didn't just add Gemini to your notes and call it a day. It has truly reshaped my workflow and boosted my productivity. If you have been on the fence or if you've dismissed it as 'just another app', reconsider. Of course, there is a learning curve with adding sources and using text prompts to get the best out of it. I advise taking some time to dig in and explore what NotebookLM can do. If you are looking for some inspiration, check out the unique ways I use NotebookLM. NotebookLM See at NotebookLM Expand Collapse

3 surprising ways I use NotebookLM that have absolutely nothing to do with studying

NotebookLM has managed to convince me that AI can truly be a game-changer for productivity. If you aren't aware, NotebookLM is Google's AI-powered personalized research assistant. Take a moment to read that last bit again -- research assistant. Google's own wording makes it clear the tool was built with students and researchers in mind. But with the functionality it offers, you're simply not doing it justice by using it only for studying and research purposes. Despite being a full-time student and heavily relying on NotebookLM for studying, here are three ways I've been using the tool that have absolutely nothing to do with studying. Related If you haven't tried NotebookLM yet, here are 3 reasons to start now Seriously, what are you waiting for? Posts 5 3 Preparing for interviews Because no one likes surprises on the big day I recently had a few college application interviews, and I scoured the web looking for a tool to help me prepare. After hours of testing out random tools, the idea of using NotebookLM suddenly struck me. So, I created a new notebook and added every single document the admissions officer would have access to. I also uploaded a document with an overview of the college I had applied to. Once my sources were uploaded, I asked NotebookLM to generate potential questions I could be asked. Now, you might say any AI tool can do that. But what makes NotebookLM stand out is that it pulled context from all my documents to craft personalized questions. For instance, the college I applied to emphasizes Excellence, Passion, Respect, Beauty, and Service. This was mentioned in the eighty-page-long overview of the college I had uploaded as a source, and NotebookLM pinpointed it: How do you see yourself embodying these values both as a student within the School of Science and Engineering and as a future professional? I had uploaded my high school transcript and application, which listed my intended major. NotebookLM intelligently connected the dots: Your A Level results show strong grades in Computer Science, Mathematics, and Physics. How do you feel these specific subjects have prepared you for the challenges of a Computer Engineering program? Since my work experience appeared in both my resume and extracurricular form that I had uploaded, it suggested the following question: You have extensive experience as a tech journalist for several publications. This is a unique background for an engineering applicant. How has your work in tech journalism shaped your understanding of and interest in the computer field? I had one line about graphic design for a school event in an eighteen-page-long document, and even that didn't go unnoticed: You mentioned graphic design as a skill. The University's Computer Science program includes areas like Computer Graphics & Visualization. How do you see your graphic design skills potentially connecting with or enhancing your studies in a technical field like Computer Engineering? Since these questions were generated using documents I uploaded, they felt far more personalized and relevant than the generic ones other tools suggested. NotebookLM's viral Audio Overviews feature also has an interactive mode, which lets you jump into the podcast and discuss your sources with the AI-generated hosts. So when I wanted to simulate a mock interview, I used the interactive mode to practice answering the kinds of questions it suggested. 2 Hiring a candidate Can't let a single detail go unnoticed, right? Now, while the last section focused on being the interviewee, this one's about being on the other side of the table. I once needed to hire someone to do a quick graphic-design job for me, and it didn't take long for my inbox to fill with portfolios, cover letters, and resumes. Though I managed to shortlist a few applications that stood out, there was no way I could hire all of them for a single one-off task. So, I added their applications to a new notebook on NotebookLM and shared a few details about the task I needed. Within seconds, NotebookLM listed each applicant's strengths based on the job I needed done. It even clearly pointed out each applicant's weaknesses and helped me make connections between their past work and the work I was looking for. NotebookLM's Mind Map feature, in particular, was a life-saver in this case. Once I had somewhat made up my mind, I still needed to interview candidates to ensure they were the right fit. Since I had already uploaded their documents to the notebook, I simply asked NotebookLM to generate a few follow-up questions tailored to their applications. What would've taken me an entire afternoon took just a couple of minutes. And since NotebookLM is grounded in its sources, with a citation number next to each claim it makes, I didn't have to worry about missing or inaccurate information during the process. 1 Help me out with purchases For the days where my patience is on vacation Close Though I'm one of the most indecisive people to exist on this planet, a huge reason why I struggle with making purchases is simply because of the amount of information out there. Reading pages and pages full of technical specs can quickly get frustrating. Similarly, needing to scroll down and then back up and keep switching between tabs just to compare features sometimes makes me want to skip buying the product entirely. NotebookLM is a lifesaver for such tedious tasks. Since you can add URLs (and YouTube videos) as sources in a notebook, all I need to do is add all the links to a new notebook. For instance, say I want to purchase the M3 MacBook Air. I'd upload the M3 MacBook Air specs listed on Apple's website, and its Apple Store or Amazon listing, depending on where I plan to buy it from. At the same time, I'm also on a budget, and I can possibly get the M2 MacBook Air for much cheaper. So, I upload the same sources for the M2 Air too. Then, I fire away all the questions I have. For instance, I can ask it to list the differences between the two models, and it'll do exactly that. Like I mentioned above, NotebookLM only references information from the sources you upload, so it won't bother searching any further. This means I don't need to worry about it picking up information from the web or simply making it up. Each claim it makes is also backed up by citations. I can even ask it to generate a table that compares the products across different categories. I've attached a snippet of the table NotebookLM generated about the differences between the M2 and M3 Air above. Think of NotebookLM as CTRL+F but better. For instance, if I want to check how many external displays the M2 Air supports, I don't need to scroll through the entire specs sheet. Even if I do end up doing that, I'd then need to do the same for the M3 Air. Instead of that, I can just ask NotebookLM in the notebook I created, and it'll pull up exactly what I need, along with a citation, so I know where it's pulling that from. Keep in mind that I'm not talking about reading reviews of the product -- that's a task I'll always do myself, and truthfully, enjoy doing. I'm just referring to the tedious task of digging through pages of specs, trying to spot the tiny differences that actually matter. NotebookLM does way more than you think For the longest time, I just used NotebookLM to cram for my exams. Eventually, I realized that when used right, it's capable of doing much more than helping me ace my midterm. This is exactly the kind of stuff I'd like AI to handle instead of just creative tasks like generating content, images, and videos. Related 4 unique ways I use NotebookLM to get the best out of it My NotebookLM blueprint Posts 4