NotebookLM New Use Cases are INSANE (FREE!)

Notebook LM new use cases are insane. Today, I'm going to show you five ways to use Notebook LM that most people have no idea exist. This isn't your typical AI tool tutorial. I'm showing you the exact systems that can transform how you work. These are real use cases that save hours every single day. And the best part is completely free. Let me tell you something. Most people are using Notebook LM the wrong way. They're treating it like a simple note takingaking app. They upload some files and maybe generate a podcast. That's it. But what I'm about to show you goes way beyond that. These five use cases are going to completely change how you think about this tool. I discovered these methods while building systems for my agency and the AI profit boardroom community. And when I say these are game changers, I mean it. We're talking about turning hours of work into minutes, taking messy information and making it crystal clear, creating content that actually gets results. So, let's jump right into use case number one. Turning

messy research into structured data. Here's the problem everyone faces. You got information everywhere. PDFs scattered across your desktop. Google Docs with half finishedish notes. Screenshots of important things you wanted to remember. Articles you saved six months ago. And when you need to actually use this information, you can't find anything. You waste time searching. You miss important details is chaos. Notebook LM solves this in a way that's honestly mind-blowing. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment. So, make sure you comment below. You upload all your messy sources into one notebook. Research papers, meeting notes, competitor analysis, industry reports, everything. Then you can ask Notebook LM to organize it however you need. Want a table comparing different strategies? Done. Need a timeline of events? Well, easy. Want to extract just the key data points? No problem. Let me give you a real example from the AI profit boardroom. Let's say I'm researching AI automation tools for our community. I've got articles about different AI platforms, reviews of automation software, case studies from businesses using AI, user feedback from our members, pricing information, feature comparisons. It's a mess. I upload everything to Notebook LM. Then I ask it to create a structured comparison table. Which tools offer the best automation features? Which ones integrate with the platforms our community uses? What's the pricing like? What do real users say about each one? Notebook LM pulls all that scattered information and organizes it perfectly. I get a clear table showing tool names, key features, pricing, pros and cons, and use cases, all sourced from my uploaded documents. No guessing, no madeup information. Everything is grounded in the actual sources I provided. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Notebook LM. The link is in the comments and description. But here's where it gets even better. You can ask for different structures depending on what you need. Maybe you want a decision matrix to help choose between options, or a pros and cons list for each solution, or a summary of expert opinions versus user reviews. Notebook LM adapts to whatever format works best for your specific situation. This is huge for anyone making business decisions because you're not relying on memory. You're not cherrypicking data that supports what you already believe. You're getting an objective view of everything in your research. And it's organized in a way that actually helps you make better choices. Now, let's move

to use case number two. Drafting publication ready content. This one completely changed how I create content. And I'm not talking about generic AI summaries that sound like every other article on the internet. I'm talking about real publication ready pieces that are grounded in your specific sources and research. Here's how most people use AI for content. They type a prompt. The AI spits out something generic. Maybe it's okay. Maybe it's garbage, but it definitely doesn't sound like you. It doesn't include your unique research. It's just repackaged information from the AI's training data. Notebook LM works completely differently. You upload your sources first, your original research, your case studies, your data, your insights. Then notebook LM creates content based on those specific sources, not generic internet knowledge, your actual material. Let me show you how this works for the AI profit boardroom. Say I want to write a blog post about how AI automation can help businesses save time and scale faster. I could just ask chat GPT to write something, but it would be generic. Everyone else is doing the same thing. Instead, I upload real sources to notebook LM. ABI uploads success stories from AI profit boardroom members, case studies of businesses that implemented automation, data about time savings, screenshots of actual automation workflows, industry reports on AI adoption. Then I ask Notebook LM to draft an article based on these sources and what I get back is completely different from generic AI content. It includes specific examples from my sources. It references real data points. It tells actual stories. It's grounded in facts, not fluff. The content still needs editing. You're not just copy pasting what Notebook LM gives you, but it gives you a solid first draft that's based on real information. You're starting from 80% done instead of 0% done. All right, let's move to use

case number three. Generating interactive mind maps. This is one of the coolest features that most people don't even know exists. Notebook LM can help you visualize how concepts connect across multiple documents. You're not just reading information, you're seeing how everything fits together. Here's why this matters. When you're dealing with complex information, it's hard to see the big picture. You read one document about AI automation, another about customer service, another about scaling operations, but you don't see how these things connect. You miss the relationships between ideas. Notebook LM can create visualizations that show these connections. You can ask it to map out how different concepts relate to each other. It creates clickable nodes that link back to the source material so you can see the big picture and drill down into details when you need to. Let me give you a practical example from the AI profit boardroom. Say I'm teaching our community about building an AI automation system for their business. There are a lot of moving parts. You've got different AI tools, various automation workflows, integration points, customer touch points, data flows. It's complicated. I upload all my teaching materials to notebook LM course documents, tool guides, case studies, member questions and answers. Then I ask it to create a mind map showing how all these pieces connect. Notebook LM generates a visual map. At the center, you might have the main concept like AI automation system. Branching off from that, you have major categories like tools, workflows, data, and customer experience. Then each of those branches out further into specific examples and details. The magic is that each node is clickable. Click on a tool and you can see which workflows use it. Click on a workflow and you can see which customer touch points it affects. Everything is interconnected and you can explore it visually. This is incredible for learning and teaching. Instead of reading through pages of text trying to understand how things connect, you see it visually. Your brain processes visual information faster. You spot patterns and relationships you would have missed in text. Now let's talk about use case

number four. Creating client ready presentations and visuals. This is where Notebook LM really starts to feel like magic. You can take your research sources and turn them into presentations, slide decks, infographics, and even narrated videos, all from the same sources you uploaded. Here's the traditional way to create a presentation. You do research. You take notes. You open PowerPoint or Google Slides. You stare at a blank screen. You try to figure out what to put on each slide. You hunt for data to support your points. You struggle with design. 3 hours later, you have a mediocre deck. Notebook LM changes this completely. Upload your sources first, then ask it to create a presentation outline based on those sources. It gives you a structure, key points for each slide, supporting data, examples, all pulled from your actual research. Let me show you how this works for the AI profit boardroom. Say I need to create a presentation for potential members about the value of our community. I upload member testimonials, case studies, data on time saved, examples of automation systems built, and success metrics. I asked Notebook LM to create a presentation outline for a pitch deck about AI automation benefits. It gives me a slide by slide breakdown. Slide one could be the problem businesses face. Slide two shows the solution. Slide three presents real results from our community. Slide four breaks down specific use cases. Each slide has clear talking points grounded in my uploaded sources. Now I can take this outline and actually build the slides. But instead of starting from scratch, I'm starting with a solid structure based on real data. The hard part is already done. But it gets better. You can ask Notebook LM to help create different types of visuals from the same sources. Need an infographic showing before and after results? Ask for the key data points and visual flow. Need a comparison chart? Get the structured data. Need talking points for a narrated video? Get a script based on your sources. Now, let's

get to use case number five. Building custom training simulators. This one is powerful for anyone who trains people. Whether you're training employees, teaching customers, or educating community members, Notebook LM can turn your training materials into interactive learning experiences, traditional training is boring. You hand someone a manual, they read it, maybe they remember 10%, maybe they fall asleep. Either way, they're not really learning. They're just reading words. Notebook LM lets you create scenariobased learning instead. You upload your manuals, SOPs, training documents, and best practices. Then you can turn that into flashcards and quizzes that test real decision- making, not just memorization. Here's how this works for the AI profit boardroom. We teach people how to use AI automation in their business. We've got tons of training content, tool guides, workflow documentation, best practices, common mistakes to avoid. I can upload all this to Notebookm. Then I ask it to create scenario-based questions. Not just what is AI automation, but a customer asks you to automate their email follow-up system. Which tool would you use and why? And these scenarios force people to actually think they have to apply what they learned, not just regurgitate definitions. That's real learning. That's what actually sticks. You can create flashcards for quick review. Maybe someone wants to brush up on a specific AI tool. Upload the tool documentation to Notebook LM. Generate flashcards covering key features, use cases, and best practices. Now they can review in 10 minutes instead of reading a 50-page manual. Or create quizzes that test decisionmaking. Upload your SOPs for handling different business situations. Generate quiz questions that present realistic scenarios. A client wants faster turnaround time. You have three automation options. Which do you choose and why? The answers are grounded in your uploaded sources. So people are learning your actual processes, not generic information. They're learning how you specifically do things. Now, if

you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Notebook LM. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. You'll get all the video notes from there, plus access to our community of 45,000 members who are crushing it with AI. The link is in the comments and description.