NEW NotebookLM Setup is INSANE 🤩 (FREE!)

Notebook LM just got way more powerful, and I'm gonna show you exactly how to unlock it. Right now, 99% of people using Notebook LM are leaving most of its power on the table. They open it, type something else, close the tab, and that's it. But today, I wanna show you a setup that turns Notebook LM into a full content machine that runs itself, so that with one single source, you can generate 12 different formats for free.

For example, videos, podcasts, infographics, slide decks, all automated with a really powerful system. And there's one thing I wanna show you later in this video that makes the whole system run automatically, where your AI agents can actually operate Notebook LM for you without you clicking a single button. So if you stick with me to the end, your Notebook LM is going to be 100 times more powerful. Let's get into it.

Today, I'm gonna run you through the most powerful way to use Notebook LM with a new setup that makes Notebook LM way more powerful, way easier to use, and just way more useful in general. So for example, the old way of using Notebook LM is that you would go into Notebook LM, as you can see right here, and then you've got this kind of like messy UI. It's quite difficult to manage, it's not that clean, and like it's difficult to integrate with your other AI agents. So for example, if you're using like OpenCore or Hermes or Gemini or Antigravity, how do you get them working with Notebook LM?

But actually what you can do is you can build them into an agentic operating system, which I'll show you exactly how to do today, right? So you can see, for example, here, we have Notebook LM inside this section. Look how much cleaner it is to manage than, for example, having all of your notebooks spread out like this, right? And the other cool thing about this is we've got the chat, we have the studio, we have the videos or the podcasts or the infographics that we've created with Notebook LM over here.

We have a full library of all of our notebooks here, right? And so what I'm gonna introduce you today is a new way of looking at Notebook LM, which is called the Goldie Infinite Knowledge Engine, which you can pair with Notebook LM. And this is a new framework built on Notebook LM, which is, I would say, probably the most underrated free AI tool of 2026, right? And the cool thing about this is you can actually use Notebook LM for free, right?

And it can generate videos, it can generate podcasts, it can generate whatever you want, but also you can plug it into your AI agent. So you can see, for example, here we have free cloud code, which can operate Notebook LM. We have Hermes agent, which we can run with free APIs. And again, that is free to use with Notebook LM.

So everything that you're looking at, you can actually build for free. Now, the only thing about Notebook LM is if you're using it directly like this, 99% of people are using Notebook LM wrong if they do this, right? Because you open it up, you type something, you close the tab. Whereas today, what I'm gonna show you is the Goldie Infinite Knowledge Engine, which has three layers.

You can plug into Notebook LM into a full agent operating system. So it turns any information you give it into an unlimited content machine. And that's really what we're looking at here. So if you've ever looked at Notebook LM, and if you're wondering like, okay, what is Notebook LM?

So this is a free AI tool made by Google, right? And you can create a notebook, and a notebook is just a container of information. So you can add sources into it. A source could be a website, a PDF.

It could be a Google Doc, audio, et cetera. You can drop it in. Then Notebook LM reads all your sources, understands what they say, and it turns that knowledge into 12 different types of media, right? And you can do that on demand for free.

So if we go to the studio section here, for example, we can generate podcasts, we can generate video views, we can generate slide decks, infographics, slash cards, flash cards, et cetera, right? For example, FAQs, reports, right? And you can have 12 different deliverables from one source for free from a single tool. Most people are not using it that way, but that's the way you can use it.

The problem is that if you're using Notebook LM on its own, it's just a hammer. And what I mean by that is like, it's powerful, but it's isolated. So here's what every standalone Notebook LM user runs into within a week when they're using this sort of stuff, right? It's hard to manage.

So you end up with like dozens of notebooks and no way to organize them. There's no real memory between sessions. So every conversation just starts from zero. You're having to switch between tabs.

So if I want to connect all the cool stuff I build inside Notebook LM over to Claude and then to Hermes agent, or you flip between all these different tabs, right? It gets very messy. So you flip between Notebook LM and then Claude and then your notes and then you browse and then your files, right? And also it has no connection to other agents.

So for example, Claude doesn't know what Notebook LM did if you're just using it inside the tab here. And there's no real library, right? So everything just lives inside Notebook LM but not on your machine. And also everything just starts from zero every time.

So Notebook LM, it doesn't really know your business, your goals, your customers, or anything about you, right? And so the problem is that you have the most powerful free AI tool on the planet and you are using maybe 10% of what it can do. And the fix is not a better tool. The fix is a system built around it, right?

And this is what I call the Goldie infinite knowledge engine. And you can see an example right here. So we've got, for example, all of our AI agents connected. Most people think of AI tools as fancy search engines.

So they open the chat, they type something, they get an answer, they close the tab. But it's really not a system, right? And the Goldie infinite knowledge engine is totally different because it's a three-layer loop that takes raw knowledge, right? For example, articles, PDFs, websites, whatever you want, and turns it into a powerful media engine that runs locally, right?

As you have the knowledge vault. And this is where all your information lives, right? This is where you can, for example, feed it your Notebook LM sources, blog posts, research papers, industry news, et cetera. So Notebook LM can read all of it, understand it, and store it in a way that AI can use forever.

You want to think of it like a brain that never forgets anything you put into it. And then you've got where the AI actually does the work. So the agent operating system can live locally on your computer. It can connect directly to your Notebook LM notebooks through a bridge called MCP, right?

And so the cool thing about this is when we've got it set up over here, the amazing thing is, Claude can see everything in your knowledge vault, right? So it can trigger Notebook LM to generate videos or to generate infographics or audio views, et cetera. So if we click this notebook right here on OpenClaude, and then we go to the studio here, we can just generate like an audio view straightaway, right? And you can see stuff that we've generated right here.

And so Claude can see everything in your knowledge vault and it can pull these assets back to you, right? So there's no human in the middle here as well. There's no clicking buttons or anything like that. And then the final step is the infinite loop.

So this is where the system gets smarter every day. So every time you add new information to your vault, the system can regenerate new content. That means, for example, new videos, new infographics, new audio for your audience to listen to. And the loop never ends because knowledge never runs out, right?

So you input the knowledge, which you can do over here. You can easily create a new notebook like this. The agent runs the machine, the content comes out and it repeats forever, right? Now, most people are still manual workers in the age of AI, right?

They might be using chat GPT, but they're switching between tabs. They're copying and pasting into Claude. Then they're going into all the other AI agents, right? The knowledge engine makes you the owner of the factory instead.

And that's the difference here. And so you can get like your AI engine or your AI agents to actually build this out for you if you give it access to the notebook LM MCP instead. That way your AI never starts from zero again. Now let's talk about why the old way doesn't work anymore.

So this is the old way, right? And this is a guy doing a thing manually. And this is the new way, right? Which is using the infinite knowledge engine.

So the old way of making content look like this, you read a research report, you write a summary by hand, you design an infographic by yourself, you recorded a podcast script from scratch, et cetera. And maybe you spend eight hours producing one piece of content. It's not smart, it's not automated. And it's really 2019 thinking in a 2026 world.

The new way looks like this. And so the new way is the knowledge engine, right? And the difference is eight hours, right? The old way might take you eight hours.

You do everything by hand, you read the source, you write the summary, you open up for Canva, for example, you design the infographic, you write a podcast script, you record it, edit it, cut it, rerecord, get one piece of content out the door, and then start over for the next one, right? And that might take about eight hours. With the new way, the knowledge engine runs itself because you can drop your sources into notebook. You click into the agent operating system dashboard, you trigger the generation, right?

All 12 different formats at once. And you can generate videos, infographics, audio, slide decks, my maps, et cetera, that pull into your agent operating system. And then you can browse them in your asset library, which we've got over here, and then you can publish them as well, right? So you have the same source, but the difference is the old way takes eight hours, the new way takes 20 minutes, right?

And one piece can become 12. So it actually gets smarter and better the more you use it as well. So it's a really cool system that you can use with notebook.LM. Now, what you can actually do is take this idea and just ask Hermes or Claude to set it up for you.

We actually have a full system inside the AI profit boardroom as well. Link in the comments description or go to the AIprofitboardroom.com if you wanna get access to that. But yeah, that's the way that I would look at it. Now, the other cool thing about this is notebook.LM actually lives inside your dashboard, right?

So the simple version of how this works is that you can open up your agent operating system, you click the notebook.LM panel, you see every notebook in your account, which you can see over here. You can click a notebook and you can actually chat with it, right? You can see the sources, every asset that's been generated. You can click the studio tab over here.

You see every video, every audio file, every slide deck, every infographic that notebook.LM has ever made for you. And then you can actually pull these in directly for yourself, right? And that's a whole loop. So Claude can see your knowledge vault.

Claude can trigger video generation or infographics audio views for free. Assets land inside your local setup. And the other cool thing about this as well is you have obsidian, right? So every output and idea feeds back into the vault.

So if we have a look, for example, inside the vault over here. So this is a knowledge system, as you can see. So we have this vault where the AI, based on what we generate inside our agents or what we use inside, for example, notebookLM, et cetera, we can generate like a whole map of all of our knowledge and memories together. And then our agents have infinite context.

They have infinite understanding of us, right? And that's a powerful thing about this. And so obsidian becomes your long-term memory with all of your ideas and memories and everything else. And then Hermes, OpenClaw, and Claude all share the same brain, right?

Which is built in inside the memory section. So what one agent learns, all agents know. So there's no coding, there's no API setup, there's no prompt engineering. You just click and create.

That's the cool thing about this. Now you might be saying, okay, how does this work at practice? How can this save me time, et cetera? Let me talk about how you could do this.

For example, you could use this for SEO. You could give it case studies and then generate articles using this process, right? So inside, for example, if we select OpenClaw here, we could generate articles. We could create, for example, lead magnets.

We could create courses with this. We could create research, right? There's so much cool stuff that you can do with this. Now, the difference here is if you want this in one place, notebook.lm is powerful on its own, but really notebook.lm inside the agent operating system, sharing memory with Claude, Hermes, and OpenClaw is a completely different category of thing.

And that's what we're looking at. So we've got one operating system, right? And if you want to plug notebook.lm into your full agent operating system with Claude, with Hermes, with OpenClaw, and Obsidian, et cetera, we have the setup already ready to go inside the AR Proffer boardroom. It's a full operating system I've built.

You can get all the files for this, the zip files, the prompts, and everything else. And your notebook.lm notebooks live inside one dashboard alongside Claude, Hermes, and your asset library, right? So your agents share one memory, they know your goals, they know your business. And when you set up the knowledge engine, your agents already have full context for everything you've ever captured.

So content gets better and more personalized every time. So what you get inside the AR Proffer boardroom, if you join us, you get the agent operating system with every prompt, the Obsidian memory setup, the notebook.lm MCP integration ready to go. We actually have a hundred notebook.lm prompts for all the types of content that I've talked about today. We have a 30-day implementation roadmap walking you through the full knowledge engine step-by-step, coaching calls every week where you can set this up live, daily tutorials on getting the most out of notebook.lm and Claude and Hermes, 3,000 business owners already inside there.

So you can ask the questions inside the community, a member map so you can connect with people near you in your local city. And we actually have over 158 pages of testimonials, right? So you might be saying, this is great, but you know, does it work for everyone else? You'll actually see John, for example, here.

John's an absolute legend in the community. He just said, I just got the, I just got done building the AgentOS system from your blueprint. And he said, thanks so much for the guidance, right? And he actually built this out directly.

And you can see we have 161 pages of testimonials and wins like this. So it's just an awesome community of people winning and learning and growing together. And that's exactly what we want here, as you can see.