NotebookLM 2.0 is INSANE (FREE!)

Today, I want to show you the most powerful way I've seen to set up Notebook LM with Claude and create a really powerful dashboard, as you can see right here, where you can generate videos, podcasts, you can pull them in, you can preview them, you can chat with all of your notebooks, and this is the most powerful way I know to use Notebook LM and the full power of it. Now, the way that we've done this essentially is we have this plugged into our agent operating system, and what this allows you to do is manage everything inside one place. So, for example, for any single notebook that we have, we can chat with it over here, we can generate more videos or audio, we can generate slide decks, mind maps, infographics, flashcards, etc. using this process.

Not only that, but we can actually check out all of the assets that we actually want to use and organize over here, right? So, it's a really powerful system. Now, first off, let's talk about this and what we're doing and how it works step by step, and we'll break this down as simply as possible so that you can understand, number one, how to implement it, and number two, the full power of this and what this unlocks. So, let's get straight into this.

So, what are we actually doing here? What is Notebook LM? Notebook LM essentially is a powerful way to use a free tool to generate whatever you want. That could be, for example, media for podcasts, media for research, it could be generating videos, etc.

If we start from absolute zero here, Notebook LM is basically a free AI tool made by Google. You go to Notebook LM, you create a notebook, and a notebook is just a container of information, right? And then you can add sources to that notebook. A source can be a website, a PDF, something like that, and Notebook LM reads all the sources, understands what they say, and then it can do something remarkable, right?

It can actually turn all that information into media, into content, right? So, for example, it could generate an audio of you, it could create a video of you, it could generate a slide deck, it could be a mind map, an infographic, a flashcard, a quiz, a briefing document, etc., right? And so, you can use all of these tools for free inside Notebook LM, right? So, you just go to Notebook LM, and then you can create new notebooks like you can see right here, right?

And so, these are all the notebooks we have inside our process. The problem with that is that it's not very easy to manage. It doesn't integrate into something like Claude, and you have to switch between tools, different tabs, you have to manually click into everything. It's very difficult to organize them.

And so, what we've built with the AgentOS system, as you can see right here, is essentially what I call the Goldie Infinite Knowledge Engine. It's a new way to basically turn any information into unlimited content without doing it yourself, right? And this actually creates better content than 99% of people can do manually, right? It's far better than what we can port into the AgentOS generated with Notebook LM, and it's a fully animated video.

It has a beautiful voiceover over the top. All of it is organized really well, and it's fully automated. Look at these amazing charts and everything else, right? Now, we've got some questions here, so let's see.

Santiago asks, how can I get the Claude AgentOS? So, what you can actually do is you can get Claude to build it for you, right? If you want Claude to build it for you, you can do that. You just go into Claude, and you would say something like, go off and build a beautiful dashboard.

That's what we did originally. If you just want the template and the prompts from me and my full system, then you can get that inside the AR Profitable Boarding. Link in the comments description, or go to the AR Profitable Boarding.com, and we actually have the full prompts, a full setup guide here, a video tutorial on how to set it up, and also a zip file, so you can actually just give that to your agent and say, hey, build this. And so, if you want the full system from me, if you just want to get the templates and everything, it's all inside the AR Profitable Boarding, and you can just get that straight away.

So, now let's talk about each stage of the process and how it works. So, here's the thing that I would say. When it comes to winning in this AI era, the people who win aren't the ones who work harder, right? They're the ones who build smarter systems that work 24-7 without them, right?

For example, we've got Claude, we've got OpenClaude set up, we've got Hermes agent all running here. We have all of our systems built so they can run 24-7. We've got this full setup here for creating SEO content, a studio for creating images and videos and text-to-speech. We have a Kanban board where I can organize and orchestrate whole teams of agents with Hermes agent and Claude.

And then we also have a journal, a full memory system, and we have the notebook LM section here, right? And so, it's a really powerful way to just bring everything together inside one system. And that's the key, system. It's not a tool, it's a system.

So, let's talk about the framework first, right? With the Goldie infinite knowledge engine, this is a system that changes everything. So, most people think AI tools are just like fancy search engines. They open chat, they type something, they get an answer, they close the tab.

That is not a system, my friends. So, that's just like basically a more advanced version of Google. The Goldie infinite knowledge engine is different because this is a three-layer loop that takes raw knowledge, for example, like articles or PDFs or websites, and it can turn it into a fully automated, powerful media engine that runs locally, right? And here's how the three layers work.

So, number one, you have the knowledge vault, and this is where all your information lives, right? So, you can feed notebook LM your sources. How does that work? We can click on new notebook over here, we can add the details, and then we can go, right?

So, that's how it works right here. That could be, for example, blog posts, it could be research papers, it could be industry news, anything, right? Notebook LM can read all of it, understand it, and store it in a way that AI can use later. So, you want to think of it like a brain that never forgets anything that you put into it, right?

So, you can see an example here. Here's a notebook that we created on OpenClaw. If you go inside the chat, we can speak to it, and we've also got all of the assets that we can generate here, right? So, we've got all the assets from the full process, and we can actually click on the pool section here, and it goes into our assets section, which is pretty much the agent operating mess lives on your local computer, right?

So, it connects directly to your notebook LM notebooks. So, you can see it right here. This is Claude. We also have Hermes agent and everything else inside a beautiful mission control dashboard, and notebook LM is fully connected to this.

So, the cool thing about this is Claude can see everything in your knowledge vault. It can trigger notebook LM to generate videos, infographics, audio reviews, slide decks, mind maps, flashcards, reports, and more, and then it pulls those assets back to your computer automatically, right? And so, there's no human in the middle here. It's just an agent that can pull in assets, as you can see here.

So, we can pull in podcasts or videos, whatever we want, and then we have the third layer, the final layer, which is the infinite loop. So, this is the part that makes everything clear. Every time you add new information to your vault, the system can regenerate new content, right? Every new source equals new output possibilities.

So, that means new videos, infographics, new audio reviews for your audience to listen to, and the loop never ends because knowledge never runs out, right? And that is the Goldie infinite knowledge engine. So, you input knowledge, the agent runs the machine, the content comes out, and you can repeat that forever. And most people are still manual workers in AI age, right?

They're still typing into chat GPT and manually switching between all their different tools, and it's super messy, right? This system makes you the owner of the factory, and that's the biggest difference. Now, let's talk about why the old way doesn't work anymore. The old way looks like this, right?

You take notes manually. You might read a research report. You write a summary by hand. You design an infographic itself.

You record a podcast scripts and scratch. You spend eight hours producing one piece of content. That is not smart, right? It's definitely not automated.

That is 2019 thinking in a 2026 world. So, this new way looks like this, right? You add your sources to notebook.lm. You let the agent operating system talk to notebook.lm automatically.

You can get your videos, the infographics, your audio, your slides, your mind maps, pull to your desktop all at once, and you spend 20 minutes instead of eight hours, and you create better and more content. So, this is what the Goldie infinite knowledge engine does, and that's basically how it works. You can see the assets here. We have a podcast over here.

We have these videos that we can play, like, and also, we don't just have to stick to notebook.lm, right? We can create videos. We can create speech and images over in this section using Grok and Hermes. We could create content like we've done here across five different websites and automatically deploy it with one single keyword, right?

All customized to us, our business, and everything else, and they have a cool thing about this is it links to our memory system. So, we have this full memory system here, as you can see, and basically, what this is doing is it's training our agents on everything about us and our business. So, if you go inside our memory vault, which is obsidian, this is something I call the infinite context engine. It's something I've got inside the air profit one as well.

You can see that we have about Julian here, and then we have a full branch of knowledge on every single thing you could possibly imagine about me, right? My AI is just taking notes every single day, exporting it to obsidian, and then making even better and better outputs, right? So, you can see here, for example, we're an index of all the people in my life. If we have a look, for example, over here, we've got all the details of the tools I use.

If we have a look over here, we have the details on the air profit board and everything about that, right? And even, for example, different variations of different agents I use. It's all inside this map, mapped out. It's a beautiful knowledge system.

And so, I can plug that into any agent I want. I can plug it into my agent OS, and boom, it's looking 10 times better, right? It's 10 times more powerful. Now, some people are going to say, I'm not technical enough to do this, right?

And this is something interesting that I've seen. Like, we have 158 pages of testimonials inside the air profit board, as you can see here. And the way I see it is, if you can open a browser and type into a search box, you can use this system, right? Notebook LEM runs in your browser.

Claude Agent OS has a dashboard with buttons. You click. There is no coding required. You don't need to know what API means.

You don't need to know what MCP means. You just click, add your sources, and watch system work. That's basically it, right? Other people say AI tools, they don't actually save time.

They create more work. Really, the right belief here is like, this system eliminates entire workflows. It used to take hours, right? So, previously, generating a video of you inside Notebook LEM used to mean going to the website, clicking around, and messing around manually, right?

Now, the Agent OS does it all from one dashboard, one button, one click, as you can see right here, right? So, if we go to Notebook LEM, if we want to pull in the assets that we've got from Notebook LEM, we just click on the relevant chat here, go to studio, and we can get the assets, as you can see. Other people say, I've tried AI tools before, and they didn't work for me. Here's the thing that I've seen, and this is the biggest trend that I'm seeing in AI right now.

It's like, you might have been using individual tools, not a connected system. And the thing is, like, a hammer alone doesn't build a house, right? But a hammer, nails, wood, and a blueprint together, that builds something real. And so, Notebook LEM plus Code Agent OS is the blueprint and all the tools in one place.

That's the difference. That's what we're looking at right here. So, we've talked about the infinite knowledge system. We've talked about Notebook LEM.

We've talked about the old way versus the new way. We've talked about maybe some of the limiting beliefs that might have been holding you back. You might be asking, okay, what is Agent OS, Cloud Agent OS? So, Cloud Agent OS, I call it agentic OS, honestly, is a local AI operating system, right?

It's one that you can just build. So, you can build this with Cloud, and it's basically like an agentic operating system that you can use, right? And basically, this is like a local AI operating system. It runs on your computer.

It uses Cloud, the AI from Anthropic as its brain. You want to think of it like a control room for all your AI tools, right? Now, inside the agent operating system is a dashboard, which you can see here. And that dashboard has tabs and panels for different AI systems.

One of those tabs is the Notebook LEM section over here, right? And that panel connects directly to your Notebook LEM account. So, it can see all your notebooks. It can trigger content generation.

It can download the assets that you create. There's only one place. You don't need to switch tabs. You don't need to mess around with different tools.

You don't need to manually do anything, right? Project says, is this live? Yeah. Yeah, let's see.

It's live. So, if you want to ask any questions as you go along, feel free to ask. That's what I'm here for. So, let's talk about this.

How Notebook and Cloud agent operating system work together, right? The simple version is, you open the agent operating system, like you can see here. You click on the Notebook panel. It shows you every Notebook.

You click on a Notebook. You go to Studio tab, right? Studio tab here. And then, you see all the content that's been generated inside that Notebook, as you can see right here, right?

And then, you can click on this to download any of it. If you go to your Assets tab, you can see everything that you've downloaded. And you can click on and play whatever you want, or use whatever you want. You can see the infographic here as well, which is pretty cool.

So, we can generate infographics from this dashboard too. Pretty amazing. And that's the whole loop, right? Knowledge goes in.

Content comes out. Assets land on your desktop. Use them however you want. This is with Notebook LEM.

And what do you need to get started? You just need Notebook LEM, Cloud Agent OS, the MCP integration, right? This is a bridge between the two. We've actually got that in the step-by-step operating procedure of this guide.

And then, that's basically it, right? So, you could generate audio views, video views, slide decks, mind maps, infographics, flashcards, quizzes, briefing documents, study guides, FAQ documents, reports, whatever you want. We actually have 100 prompts and a step-by-step operating procedure on how to do this, if you want the full guide. I'll put it inside the AI Profitable Boarding for you.

Basically, just to recap here, in terms of everything that we've covered. We've covered the Goldie Infinite Knowledge Engine. This is the three-layer system, right? Knowledge Vault, Agent, Operating Core, and the Infinite Loop, right?

Raw information goes in, AI Generator comes out, and the loop runs forever, right? What Notebook LEM is, is a free AI tool that turns any sources you give it into 12 different content types, right? What Operating System is a local AI operating system on your computer with a dashboard that connects directly to Notebook LEM, lets you pull all the generated assets, and stores everything in a browsable gallery, right? How they work together, so you can add sources to Notebook LEM.

The Agent Operating System connects your account, and you can trigger everything in one single place, like you can see. And we've talked about how you don't need to be technical. This system genuinely saves a lot of time. It's the connection of tools that makes a difference.

If you're a small operator as well, you can move really fast with this. And this is based on real sources. It's not based on made-up stuff. So to generate these videos, for example, this is based on genuine research.

And the tools have three tiers as well. Project says, that's fire. First of all, hello. Thank you very much.

So if you want the full system that I've gone through today, we've got the Agent Operating System here inside the AI Profit Boarding Board, full video tutorial, all the prompts, all the files that you can use to generate this, as you can see. And then also inside the Notebook LEM Operating System section here, we have all the prompts you can use to add this to your Agent Operating System, or a 30-day roadmap for implementing it into your business. And then also a step-by-step operating procedure, if you want to implement this as well directly. So it's all inside there.

Inside the community as well, you can ask questions, get help and support in real time. You can get support whenever you need it. You can ask questions. I actually answer a lot of these questions in real time as well, which is pretty cool.

And then also inside the classroom, you get all of my new daily trainings, like you can see. Inside the calendar, you can jump on weekly coaching calls, get help and support. Inside the map, you can meet people in your local area. And this is all inside the AI Profit Boarding.

Link in the comments description or go to theaiprofitboard.com. Plus you can connect with me personally inside there too. I think that's basically it. Thanks for watching.

If you've got any questions, let me know. Majin says, can you drop a link? I've explained how to get it today. And then Project says, I've been using OpenClaw for a while for small basic automations.

Could you recommend any tools for more complex multi-agent automations? Yeah, absolutely. So what I would do if you've got OpenClaw, OpenClaw is cool, but it's even more powerful when it's combined with Claude and when it's combined with Hermes, as you can see, right? So if you look at this agent operating system, let me talk you through some of the best ways to combine this with OpenClaw, right?

So first thing I would say is if you're trying to do something serious, you're going to have goals, right? We all have goals. We all have things we want to achieve. What I would recommend doing is that you stack a goal system on top of your OpenClaw so that understands what you're working on today, right?

So you can see, for example, I've added a couple of goals here. It can see and understand what goals I'm working on. And then everything that I use OpenClaw for can work towards those goals. So I'd recommend having a goal section.

Also, I would recommend using AI SEO with your AI agents, right? So whether you're using Hermes, OpenClaw, Claude, it's all the same, right? You want to have a system for ranking your website inside Google and other search engines, right? So let me show you an example.

So if someone types in this keyword into Google, they'll find me. They'll find the content that I've created, as you can see, right? It ranks inside Google AR overviews. It ranks on Google directly.

It ranks inside Google AI mode, right? So the cool thing about this is more people find me. They find out about what we do. We get more leads generated from the system.

So what you can see here is that we can create content that ranks inside AI search engines and Google using this full system. And I think if you're running a business, this is absolutely essential, right? It's one of the most powerful systems I've ever created. Let me show you an example of some of the websites that we're doing this with.

So if we pull up some of the results here, and I've already shown you proof that we rank for this stuff. But if we have a look here, for example, you can see this website, it went from zero clicks a day, all the way up to 71 clicks per day using this process. You can see this website went from four clicks a day to 95 clicks per day. Here's another one, right?

Two clicks a day, all the way up to a peak of 346 clicks a day. And here's another one, right? So this was at 22 clicks a day, and it hit a peak of 1,134 clicks per day, right? All from Google, from AI search engines and everything else.

And so if you can stack something like a powerful AI SEO tool into your agent operating system, that's going to be super useful. What you can also do is generate videos, images, and speech as well. So if you have OpenClaw connected to Grok, which is a new update that just came out of OpenClaw, then you can use that to generate images, right? So if I want to generate a picture of a cat, or generate a picture of a dragon, just to show you an example, I can hit generate over here, and that will start generating an image for me, right?

And the cool thing about that is, it's all going to be stored inside my agent operating system, so I can come back to it later. And that's pretty cool, right? We can also, for example, generate videos here. We can do text-to-speech if you need to generate speech or podcasts, etc.

It's pretty cool. Then we have Notebook LEM. This is great for generating infographics, research, or generating videos, images. You can see all sorts of stuff that we've generated here.

That's another powerful way to stack a new tool into OpenClaw. And then we also have the Kanban board. This is more for Hermes Agent, which I'd recommend you checking out. But Hermes Agent allows you to build agent teams.

So if I assign a task here, it will actually take that task, triage it, create multiple tasks across all of my agents, and then that'll go off and run in the background, like you can see here, all right? So you can see, for example, if we look at this task that we've run with Hermes Agent, it gives us the delivery, it gives us the details of the document we built with it, and then we also have the task completed here. And I can see everything that's been built previously. Finally, we have a journal.

And the most important thing, this is the most important thing for you, which is the memory system, right? So you really want to have an amazing memory system set up for your AI agents so that they understand you and everything about you, right? And so let me show you an example of that. Inside the Air Proffler boardroom, we have this section on the Infinite Context Engine, right?

And so what this basically does, we've got a full video tutorial, as you can see, it basically gives your AI agent a memory that never forgets, right? So if you're tired of your agents not really understanding you, your business, et cetera, this whole system right here helps you build out an amazing memory for your agents. So you can just plug and play this into any agent that comes out, whether that's one you're already using or one that comes out in the future, it's already going to have loads of knowledge on you because it's using this system, right? And so what you can see is that we have a full knowledge graph of everything about me, everything that I do day to day, my hobbies, the tools, my businesses, my websites, the people I work with, the people I connect with, everything is inside this system, right?

And so AI agents can pull that and then, for example, you can plug that into OpenClaw and OpenClaw just has a much better understanding of you. So when you ask it, okay, what are some things you can help me automate? It's going to know exactly how to help you, right? And so that's the final one.

So I think we've answered all the questions here. I've shown you the full system that we've used. I've shown you how powerful this is. I've shown you how it all works together.

And I've answered any questions. So I don't think we've got any more. So I hope to see you on the next one. Cheers for watching.

Bye bye. Well, let's have a look here. We got one final one, which is JK says, how can you reduce token usage on a VPS if you are using agents like OpenClaw, Hermes, or OpenHuman? So if you have the, this is one of the biggest benefits of the knowledge system here.

If you have a system like this built out, that will actually use less tokens because you have to explain less to the agent. It already understands everything about you. So it requires minimal prompting. So that's really powerful for reducing token usage.

The other thing that I would say is that if you have the agent operating system, you're not really using many tokens here because you've already got everything set up and ready to go. There's no typing prompts again. There's no reorganizing the agent. You just build on what you did before, right?

Because it's a system that keeps growing and improving every day. And so if you have a system that improves and grows every day, and it's all organized like this, and you can use whatever you want for it, then you can have it all in one place. You don't need to worry about, for example, prompting it, right? So let me give you an example.

If I wanted to create, let's say, for example, I wanted to create content with Hermes inside the terminal. Let's show, let me show you an example of that, right? If I want to create content with Hermes inside the terminal, I've got to re-explain what I want to do, how I want it to do it, the prompts to use, the pages to create, and everything else, right? That will be inside the terminal.

And it would be super time consuming. It'd be slow. It would use up a lot of tokens. If I go straight into the agent operating system, it's like, you don't need to worry about that.

You just put in your keywords here, you give it a case study, and then you hit deploy, right? And so it uses less tokens because I don't have to explain anything. Everything that I do day-to-day is good to go. Now, some people will say, and I can see this comment right here, some people say, I don't have the resources to do this.

It sounds, for example, expensive. The cool thing about all of these systems that you're building is that you can connect free APIs to your AI agents. So for example, with Hermes, Hermes is free as an open source project, which means you don't need resources for that. And then also, you can plug in a free API into it.

So you can use, for example, our alpha on Open Router, which is a free API. You could also use Newsport or Step 3.5 Flash. So if you want a free way to use all of this, you already have it there. There's no excuses for that.

Sporter says, I just got here. Go Julian. Thank you very much, sir. JK says, thank you.

Very happy to help. Thanks for asking the questions. And then Project says, okay, thanks. So as I understand, you suggest using OpenCLR or other agentic systems as the main system and adjusting the infrastructure around that.

100%. So let me show you how that works. So here's the difference. If you've got, for example, this is what most people do.

Most people, I'm just thinking about a good way to explain this. All right. So here's what most people do. So they will go into, for example, Hermes agent, and they have to start from scratch every time, right?

Because even if, for example, Hermes can remember stuff from yesterday, you've got no chat history here. You've got no way to see what you've previously generated inside the terminal. You've got no way to see your previous prompts that work really well, your really good workflows, right? And you've got no way to manage even your assets.

You can't even see, for example, if I generate a video, we've grown 4.3. I can't even see the videos I've generated over here, right? Now compare that to, for example, using the agent operating system, which you can see here, whether you're using Hermes, open core doesn't matter. It's all the same.

If you have an agent operating system, then when you go in here, the cool thing about this is that you can see your previous history. You've got a nice user interface. You can have the context, you know, all your workflows, because they're all on the side here, right? You can switch between studio and SEO and notebook and Kanban.

So everything is plugged in ready to go. And so that's a big difference between them, right? And so it's much better to have a system than it is to have a chat window. This is a chat window.

It's not that great. This is a system 10 times better. And that's the biggest difference between them. Any other questions?

All right. I think that's it. Thanks everyone for asking. I've answered every single question inside the chat.

We've covered how to use notebook LEM with the agent operating system. I'll see you on the next one. Cheers for watching. Bye-bye.