All posts tagged: NotebookLM

NotebookLM finally has an open-source rival, and I’m hooked

NotebookLM finally has an open-source rival, and I’m hooked

Published by skeptic

What’s more interesting than NotebookLM is the concept behind it. A large language model rooted and grounded strictly on your material sounds really powerful, and it indeed is. NotebookLM started as an experiment, when a group of Google researchers decided to see what they could do with RAG. But once it grew in popularity and received more features as a result, it wasn’t long until it became its own full Google product. NotebookLM deserves the praise it has received, but in the end, it is a proprietary closed-source tool. The concept of NotebookLM can go way beyond what NotebookLM offers right now, or ever will. No matter what your workflow is, your queries in NotebookLM will always use the cheapest Gemini model. And although Google has allowed a degree of customization recently, the Studio content, like the summaries and data tables, will always have a system prompt that’s set by Google, not you. The Audio Overview podcasts will have the same two hosts, and always abide by the system prompt that Google has set. To …

Amazon’s copies NotebookLM in the worst way with AI podcasts

Amazon’s copies NotebookLM in the worst way with AI podcasts

Published by skeptic

Summary Amazon launches Alexa Podcasts with AI-curated episodes for Alexa Plus users. It pulls information from more than 200 trusted news and information sources. It’s available in the United States starting today. As hard as I try not to be a Luddite about the role artificial intelligence plays in our lives, Amazon’s latest development is another example of the occasional “jumped the shark” moment that makes me question everything. The online retailer has introduced Alexa Podcasts, which are informative AI-powered episodes curated for your personal interests. Available exclusively to Alexa Plus subscribers in the United States starting today, Alexa Podcasts apparently pulls from more than 200 news publications and trusted sources — including the Associated Press, Reuters, and the Washington Post — to generate timely news podcasts with updated information about whatever piques your curiosity at the moment. You can also generate podcasts designed to help you learn new things about specific careers, hobbies, skills, and more. All you have to do is tell Alexa what you want to hear about and how much free …

5 NotebookLM prompts that turn dense topics into simple explanations

5 NotebookLM prompts that turn dense topics into simple explanations

Published by skeptic

I’ve been trying to understand time dilation after watching Interstellar and Project Hail Mary. Both make it central to the plot, and both left me more confused than before. So I turned to NotebookLM, uploaded a handful of sources, and started asking it questions. The raw summaries it gave me weren’t enough. What worked were specific NotebookLM prompts designed to reframe hard content for a beginner, use analogies to make ideas stick, and test whether I’d actually understood what I’d just read. The fun exercise gave me a daisy chain of prompts I now use for every learning challenge. Start with configuring NotebookLM as a Learning Guide. Throw in the right NotebookLM Studio tool, and you can design your own master key for dense topics. This prompt builds a beginner’s map Start here before you read anything else Saikat Basu/MakeUseOf Most tools summarize. This prompt gives you a structure. It breaks a complex topic into four distinct layers: a one-sentence tl;dr, a jargon-free core explanation, a real-world analogy, and a plain-English vocabulary list. That last …

Turn NotebookLM Insights Into Automated Work Products

Turn NotebookLM Insights Into Automated Work Products

Published by skeptic

NotebookLM has introduced automation features that work in conjunction with Codex, allowing users to streamline data management and task execution. As noted by Universe of AI, one example is the ability to sync data from Google Sheets or pull updates from APIs directly into NotebookLM using Codex’s Chrome extension. This setup allows users to reduce manual effort while maintaining organized and up-to-date workflows. Discover how to automate tasks like generating customized reports, syncing updates across platforms such as Slack or Gmail and converting raw data into structured outputs. Gain insight into designing workflows that align with specific requirements and learn practical steps for integrating these features into your daily routines. How NotebookLM and Codex Work Together TL;DR Key Takeaways : NotebookLM and Codex integration simplifies workflows, automates repetitive tasks and converts raw data into actionable insights, enhancing efficiency and productivity. Codex’s Chrome extension enables seamless platform connections, while NotebookLM organizes and manages knowledge for dynamic workflow automation. Automation capabilities include data collection from sources like YouTube, stock markets and Google Sheets, making sure an up-to-date …

I had Claude Design, NotebookLM, and ChatGPT design the same infographic, and only one got it right

I had Claude Design, NotebookLM, and ChatGPT design the same infographic, and only one got it right

Published by skeptic

Claude Design arrived and immediately took the world by storm. Word on the street is that UI designers are already changing their LinkedIn titles to “prompt engineer.” I’m joking (mostly). But Claude Design is genuinely impressive. Around the same time, OpenAI upgraded its already frontier-level image generation in ChatGPT with ChatGPT Images 2. It can follow prompts with much better accuracy, and it seems to have fixed one of the biggest problems with AI images: text. NotebookLM, meanwhile, has been in the text-heavy image generation game for a while. It can generate slide decks, infographics, and other visual summaries from your source material. Text has always been a strange weakness for image models. They generate text inside an image, which is already a little problematic, because text is something you’re supposed to write. Claude Design isn’t exactly in the same category as ChatGPT Images or NotebookLM, but I still wanted to put it to the test. They say it can design anything, after all. I wanted something visual, but text heavy. And what better test …

I used Claude and NotebookLM together for research and realized they’re solving completely different problems

I used Claude and NotebookLM together for research and realized they’re solving completely different problems

Published by skeptic

Research assistance is one area where I rely on LLM-based AI platforms more frequently. Compared to other uses of generative AI, using AI chatbots to help you structure your research and identify connections in your notes creates less tension, especially in academia. These days, however, I don’t use as wide a variety of AI tools for research. Instead, the workflow mainly depends on two solutions: Claude and NotebookLM. I’ll level with you: I didn’t know this optimal combination from the beginning. It actually took me a while to understand that Claude is way better than ChatGPT. Even when I started with the duo, using both tools strategically proved a bigger challenge and required more trial and error than I expected. During this process, I also realized that Claude and NotebookLM are made to solve completely different problems in different ways. Related 6 Reasons I Use Claude Instead of ChatGPT ChatGPT is great; don’t get me wrong. But Claude is so much better. I thought Claude could do it all Why I expected one AI to …

NotebookLM is most powerful when you pair it with Obsidian and Gemini

NotebookLM is most powerful when you pair it with Obsidian and Gemini

Published by skeptic

NotebookLM is genuinely impressive on its own. Upload a few sources, ask questions, get grounded answers. But what next? How do I make these insights a more permanent part of my knowledge base? Obsidian, on the other hand, is a catch-all long-term knowledge store that’s relatively mute. Gemini bridges both. Together, the three tools form a loop in this experiment. I capture in Obsidian, interrogate in NotebookLM, develop it in Gemini, and route everything back to Obsidian. I find this especially powerful for repurposing stuff from my vault. I upload existing Obsidian notes into NotebookLM, prompt it to identify recurring themes, then use Gemini to transform those insights into other formats like infographics or a briefing doc. Related I connected my Obsidian vault to NotebookLM for real — it’s absurdly powerful This is the first Obsidian and NotebookLM setup that actually feels connected. Export your notes to NotebookLM Keep things focused with one notebook per project Saikat Basu/MakeUseOf NotebookLM’s quality depends directly on the focus of your sources. Give it ten tightly related notes on …

Top 10 NotebookLM Tips for Research, Notes & Workflows

Top 10 NotebookLM Tips for Research, Notes & Workflows

Published by skeptic

NotebookLM has become a versatile platform for research and organization, combining efficiency with adaptability. According to Skill Leap AI, its integration with Google Gemini enables users to consolidate resources such as PDFs, Drive files and web content into unified notebooks, making it easier to manage complex projects. For example, its Deep Research mode supports detailed investigations, while Fast Research mode is designed for quick insights, allowing users to adjust their approach based on specific project requirements. Discover how to use NotebookLM’s visualization features to create customizable charts and diagrams or simplify complex ideas with its mind mapping functionality. Learn how AI-generated audio overviews can support dynamic learning and explore strategies for securely sharing your work or tailoring AI interactions to suit your needs. This analysis provides practical insights to help you navigate and maximize NotebookLM’s capabilities in 2026. Top NotebookLM Tips TL;DR Key Takeaways : NotebookLM integrates seamlessly with Google Gemini, centralizing resources like PDFs, Google Drive files and web content into unified notebooks for streamlined workflows and collaboration. Advanced research modes, Fast Research for …

NotebookLM in Gemini: New Workflow, Sources & Syncing

NotebookLM in Gemini: New Workflow, Sources & Syncing

Published by skeptic

Google’s integration of NotebookLM with the Gemini AI platform introduces a structured way to handle information and streamline tasks. As explained by Universe of AI, one standout feature is persistent memory, which allows the system to remember details from previous interactions. This is particularly useful for long-term projects, as it reduces repetitive data entry and helps maintain continuity in workflows. Explore how this update enhances workflow organization with features such as task categorization through folders and the ability to consolidate conversations into notebooks. Learn how customizable AI instructions can assist with tasks like summarizing complex research or creating detailed reports. Gain insight into AI Studio, which offers tools for organizing knowledge, including mind mapping, flashcard creation and slide deck development. Key Features of the NotebookLM & Gemini Integration TL;DR Key Takeaways : Google has integrated NotebookLM with the Gemini AI platform, offering a unified system for productivity, knowledge management and workflow organization. Key features include persistent memory, customizable AI instructions, seamless synchronization and advanced tools for organizing and accessing information. New tools like AI Studio, …

Gemini Gets New Notebooks Feature That Syncs With NotebookLM

Gemini Gets New Notebooks Feature That Syncs With NotebookLM

Published by skeptic

Gemini is getting a new feature in the form of notebooks, further integrating with NotebookLM, Google announced on Wednesday. NotebookLM is easily one of Google’s best AI tools available. It allows you to add sources to a notebook and ask questions or generate a series of outputs, based only on the material you’ve given it, making it self-contained.  It’s different from the Gemini chatbot on its own, which will search the entire internet for an answer. NotebookLM’s answers are grounded only in your sources. It’s great for studying for school, getting prepped for work and even creative inspiration. There’s no wrong way to use it, and its flexibility lends itself to be explored, so it comes as no surprise that it’s getting further integrated into Google’s own chatbot. Late last year, Google allowed you to add a NotebookLM notebook into Gemini so it would have all the context you added. Google says to look at notebooks as personal knowledge bases. You can add files, past chats and documents on a particular subject, and you can …