Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 627: NotebookLM: New features, what’s next and complete walkthrough

Episode Date: October 8, 2025

Have you been sleeping on NotebookLM? 😴If so, you're leaving hours of productivity (and probably a lot of money) at the door. But real talk -- the team is shipping fast. The NotebookLM you met last year from the viral Audio Overviews is not the NotebookLM of today. It's slowly turned into a robust, multimedia powerhouse. And the last feature update only adds to its utility. If you missed it. Don't worry. We're putting AI to work on Wednesday with the newest updates (and a complete walk through!) of NotebookLM. Don't miss this one. 👇Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:NotebookLM October 2025 Feature UpdatesCustomizing Response Length and ToneLearning Guide Style for Knowledge TestingGoogle Drive Integration in NotebookLMGrounded AI Responses Using Source MaterialIn-Depth NotebookLM Live Demo WalkthroughSeptember 2025 Flashcards and Quizzes LaunchAudio and Video Overview EnhancementsUpcoming Infographic and Nano Banana VisualsNotebookLM API and Chat History RoadmapStudio Panel Reports, Mind Maps, and MultimediaSaving and Managing Notes in NotebookLMTimestamps:00:00 "Notebook LM: Underrated AI Evolves"03:56 Notebook LM's October 2025 Update08:14 "NotebookLM: Focused Data Management"13:16 Custom Communication Preferences16:39 AI as a Thought Partner19:02 "NotebookLM's AI Podcast Evolution"21:37 "Notebook LM's Upcoming Features Revealed"26:02 Maximize Chat Space Efficiently28:22 NotebookLM: A Transformational Tool30:34 "Challenges of Learning Through Text"36:41 "Chat and Note-Saving Updates"38:08 "Ultimate Notebook L M Guide"Keywords:NotebookLM, Google NotebookLM, AI tool, AI chatbot, personalized AI, grounded AI, Gemini 2.5 Flash, hybrid model, source grounded, custom response length, custom tone, customized responses, learning guide, learning modes, Google Drive integration, discover sources, citation features, chat pane, conversational style, response configuration, chat history, API integration, Nano Banana, Google Nano Banana, AI image generator, infographic feature, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. One of the most underrated and underutilized AI tools keeps getting better and better.

I'm talking about Notebook L.M from Google. Long before you ever heard a Notebook LM ad on this podcast, we called it our 2024 AI tool of the year. And it keeps getting better and better. We've covered a couple episodes over the last. last couple of months, but I think this last round of updates that just came out are worth your attention. So much so, we are dedicating an entire episode to go over the new features in notebook L.M. What's potentially next? And since it's been a while, we're going to do a complete walkthrough. It is putting AI to work on Wednesdays, and this is Everyday AI. What's going on,

you? My name is Jordan Wilson, and welcome to Everyday AI. This is your daily live stream. podcast and free daily newsletter helping everyday business leaders like you and me, not just keep up with AI developments because there's a ton, but how we can actually make sense of them and use them to grow our companies and careers. If that's you, it starts here with the unedited, unscripted live stream podcast. If you want to take it to the next level, go to our website at Your Everyday AI.com. Sign up with the free daily newsletter. We're going to be recapping the highlights and what you really need to know from today's show

and all the AI news so you can stay on top of your game. All right, let's get straight into it. October, new updates, notebook LM, tons happening, and a lot more on the horizon. So let's go over what we're going to go over. We're going to quickly recap what's new in Notebook LM with their customized features that I think may get truly personalized in the same way that you might think of GPTs for chat, GVT. This is kind of like a slim down version of that, but I think it's really important.

and really expands notebook LM's usefulness. Next, we're going to preview what's confirmed coming next from Notebook LM, whether that's in a couple of days or a couple of months. And since it's been a while, I'm going to do a complete but very quick walkthrough of the entire platform. That's, I think, going to be really helpful for beginners. But like I said, there's been some huge updates in the last couple of weeks, a couple of rounds. So even if you're using notebook LM, I don't know, once or twice a week, I think you're

going to get a ton of value out of today's show. And stick around to the end. I put together, I've got about, I don't know, 20 or 30 of these kind of bonus guides over the last three years. And this one, y'all, is by far the best. Put together a notebook L.M cookbook and some recipes, use cases, and just some really exploratory guide on notebook LM. We have sections for beginners, intermediate, and advance.

you are literally not going to want to miss it. And, well, you all voted for this show, FYI. So it just so happened. Yeah, we have Notebook LM ads, but this is not, you know, technically an advertised segment. You all voted for this. I've shown it on my screen from the podcast listeners. I said, hey, on Wednesdays, we do putting AI to work on Wednesdays. You all said you wanted to go over Notebook LM's custom features.

So here's what's new in the October 2020. updates and notebook lm has been shipping like crazy the last few months the biggest one is the ability to customize the response length and tone in the chat response and you might be wondering what's the big deal about that well let's be real up until this notebook lm was a little dry in its responses um and i think that's okay but i think that's okay but i think I think as we've come, and when I say we, just collective, you know, everyday professionals, as we start to use large language models like Gemini, Chad, GBT, GBT, co-pilot, and Claude more and more, I think we've become accustomed to them becoming more personalized,

more customizable. And unfortunately, Notebook LM didn't really have that capabilities. So a lot of times, you know, I might have wanted something short and, you know, I maybe would want a pointed response or, you know, a no-nonsense response. And I might be staring at a huge wall of text that's overly verbios, right? So this is great to say, hey, this is how I want notebook LM to respond. And then also having default for links, huge. The new learning guide style as well.

And we're going to be going over these live in a couple of minutes. And that essentially tests your knowledge. So very cool, you know, Gemini and Chachibati have come out with these learning modes. So it's kind of similar to that. I think notebook L.M, by far, is the best tool to just learn something. And that's because it's grounded. And I'll tell you what that means here in a second. And then another small new thing is to discover new sources, there is a Google Drive integration. That's a small little footnote here. But the big update here this month in notebook LM is the ability for it to respond in a custom way. And it's actually a big update in my opinion. And I love

the new learning guide style as well. So enough. Let's jump in live. I'm going to show you first those couple of new updates. And let me preface this by telling everyone about notebook LM. So if you've never heard of it, it is much different than your average AI chatbot. It's technically powered by Gemini 2.5 Flash, which is a hybrid model. So sometimes it might give you a quick response. Sometimes it'll think and kind of plan things step by step. Other times, it's just going to be quick, right? So it is a hybrid model, which is great.

The other big thing to know is it is grounded. And what I mean by that, I'm sharing this on my screen now. And if you want to see the video version of this, it's not going to be overly visual, but it might be helpful. The video version is always, on our website for free at your everyday AI.com. Click on episodes. All right.

So make sure you go check today's out if you're listening on the podcast and you want to see all this. But what it means by Notebook LN being grounded is it means it only works with your source material. So when you go into Notebook LM and there's a free version and a paid version, the paid version just essentially gets you better limits. But the free version is actually really good. All you need is a Gmail account.

Essentially, it doesn't hallucinate because when you go and you can, click a new notebook. You can't even start, quote, unquote, chatting with notebook L.M. You first have to upload your source material. If I'm being honest, I wish all large language models had a little toggle at the top that you could just go into like a notebook LM or a grounded mode. Even when you're using things like custom GBTs or projects in chat GBT, gems and Gem and Gemini projects in Claude, right?

You think, oh, I'm going to upload. just my documents and in the custom instructions, I'm going to tell the model, only use my documents, doesn't work that way. Sometimes it does. Sometimes it doesn't. That's where Notebook L.M shines. And that's one of the reasons, aside from the very viral AI podcast, right?

That's, I think, what kind of showed a lot of attention on Notebook LM in the earlier days. But I think the fact that it's grounded is the biggest thing. So, you know, if you upload a bunch of information, about, you know, a random example I always throw out there. If you work in logistics and you're in marketing and you're putting a bunch of new white papers in there and then you're asking it, you know, hey, what's the weather in Chicago next week or who won the 2016 MLB World Series? It'll say, I have no clue, right?

Whereas if you ask Gemini or Chad GPT or any other model, it will obviously tell you that because it's in its training data. So notebook LM is grounded. It only works on the source information that you input. So let's just do a. very quick demo. I opened a new notebook here in Notebook L.M. And all I'm going to do, I'm going to jump over to our website. I'm going to go grab yesterday's episode. And I'm just going to copy and paste. So I'll get more into how all this works later. All right. And I'm just going to paste in the

transcript from yesterday's episode where we went over Dev Day updates from Open AI. All right. Pretty simple. So now let me show you the what's new in the, in how you can customize the response and why it's super helpful. All right. So now in the middle pain, all I'm going to say is recap, recap this episode, right? Very simple. And by default, it's going to take a while because it was a pretty long episode. It was about 40 minutes long. There was a ton of information on that page. So it's taking here, you can see, actually, actually not too long. Took a lot. It took. about 10 or 15 seconds, and I got a very in-depth, in-depth recap here. And if you are watching the video version of this, you'll see one of the special things about notebook L.M is it cites, and it gives you a footnote to every single thing it tells you. So if you have a bunch of different sources, it'll tell you that more here in a second. Let's get to what's new. So if you go into the middle pane, which is the chat pain, all right?

There's three panes. The middle pane is the chat pane. And there's a little toggle there that says configure notebook. All right. If you click on that, here's what's new. So you didn't really have any way to customize notebook LM's response before. So you kind of always got an overly wordy, usually very dry, but always factual response. That's not for everyone.

Sometimes you need a large language model to kind of adapt to how you want to learn. So you can choose the conversational style and the response length. So I'm going to go to custom first. All right. I should have typed this out before so I could copy and paste it. So I'm going to say be direct as short as possible, a little humorous and curt. I'm going to say don't waste words. All right.

Be direct. A-F, all right. There we go. And then for response length, I'm going to choose shorter. So one thing that I hope notebook L-M builds into the future, and I'll reach out to some of my friends there, is to be able to save these, right? This is just a very quick example. I've made some of these where I build them. You know, I really take my time and do a little testing to get it exactly how I want it.

I wish you could save them. You can't do that right now. Maybe in the future, you will be able to. All right. Just did some misspellings there. And then I'm going to save. All right. So now the other thing is you also don't know that you are chatting with that persona,

if that makes sense. All right. So now I'm just going to go in. I'm going to click. I'm going to go ahead and refresh this chat. All right. I'm going to double check. There's my, there's my custom conversational style.

And then I chose shorter for the length. And now I'm going to say the same thing. I'm just going to say recap this episode. And we'll see here, it's going to be very short, hopefully, maybe a little humorous, kind of curt. So almost to the point of it, you know, being rude. But yeah, right away, it is about a fourth of the length, which I love, right? And I like, for the most part, large language model responses to be straight to the

point. I don't need fluff. I'm busy. I'm in large language models depending on the day, two to 12 hours, right? I don't like staring at a wall of text. And I also want the model to respond in a way that is that I'm receptive to, right? It's like choosing, right, how someone communicates to you. It's like, what if you could go talk to your boss and be like, hey, boss, you know, I want, you know, you to always tell me basketball references, you know, throw in a funny rhyme once at a while and always be optimistic, right? I mean, you can do anything with this new custom response. So very cool.

So I'm looking through here. I'm going to see if it actually did anything funny. So it said, open AI dropped the agent builder part of agent kit, a visual drag and drop that allows non-developers to create and deploy AI workflows. All right. So pretty good. It's talking about the, you know, how chat TVT is trying to be your new operating system. So I don't see anything necessarily.

funny. I'll have to read through this a little bit more, but it is to the point. All right, I, I kind of see a couple of things. It's starting to, you know, throw in a little bit of humor here. But great response. And you might be thinking like, okay, what's the big deal? If you've used notebook LM heavily like me, you, like, you know this is a big deal. Because like I said, what are the downside to NoBook LM is the response lengths were just so super long. All right, let me show. you the one other or two other new things. So one is when you add sources, you add sources on the left hand side and you go to discover sources. Now you can find and discover sources from your Google Drive. So small little thing, but you can just search in natural language and it'll actually

pull those things from your Google Drive. There's other places where you can add Google Drive. That's just a small one. All right, let's do the next one. So I'm going to go ahead and refresh the chat history here in the middle. Again, the only source information I have here is my podcast transcript from yesterday. Now I'm going to go to the configure chat and I'm going to go to learning guide. All right, and I'm going to keep it shorter. So now I'm going to do the same thing. And I'm going to say recap this episode. And you'll see here, this is where you can see notebook LM is a true learning powerhouse. All right. So, okay, interesting. So it, it did. It didn't. something different this time. It actually did a pretty in-depth, pretty in-depth recap here.

I'm actually going to do a hard refresh. And I'm going to try this one more time. I'm going to make sure that I have the learning guide. I'm going to put the response on default, just to say. So I'm going to say recap this episode. And we'll see if that happens again. It gave me a much longer recap than I would have thought. Here we go. The second time, it kind of worked. I think maybe I just had to do a refresh. I think it was still pulling. from my custom instructions. Could have been a caching issue. So here we go.

This is the new learning guide conversational style, which I really like. I just said recap this episode. No book L.M responds back. That's a great request. This episode covers a lot of ground. And then it said, before we dive in, how much do you know about OpenAI's dev day announcements? And what is your high level goal for reviewing this material?

Are you focused on the business implications, the technical updates, or something else? Y'all, this is like prompt engineering 101, but spit back at you by the large language model, right? Going through and iterating and really turning AI into a thought partner. Here, it forces you to do that. And again, think of, you might not think, right, by using the custom tone, you might not think to put all of these things in here. That's why I love this new option for the learning guide, because it forces you to think, okay, well, what do I actually want out of this? Put it through a different perspective.

Think of that one thing that you're trying to learn. Let's say there's a huge new product line that one of your competitors is putting out. They have a big PR push around it. They have videos, press releases, blogs, they're doing interviews, all this information. And all your customers are saying, hey, why aren't you putting out product X like your competitor? And you need to really know it. You need to understand it. And you need to tell your current clients or current customers that, hey, ours is still better for this reason.

Right. So think you have all this information as your sources. And then you can use notebook LM to work with it. And you can keep going in. And you can do a learning guide to actually learn a little bit more first about what your competitor is putting out there. And then you can do the same thing and chat with the custom version as well. All right. So that is a very quick overview of what's new.

Now, let's get back and talk about some other updates. So if you haven't tuned in recently, we're not going to go over all of these individually, but I will quickly show you them as we do a complete walkthrough of Notebook LM. So in September 2025 was probably the biggest month of updates for Notebook LM. So here's what came out in September 2025. They came out with customer ports. I'm going to show you all of these things where you can control the structure, tone, language.

It has dynamic templates. Really, really good. There's now flashcards and quizzes that were released in September, you know, where you can get instant feedback from your sources, you know, have to really learn them. And then new audio overview formats. So this is one of those things that originally made notebook L.M. Go Boom. Was the kind of deep dive AI podcast host, right? You could upload, you know, hundreds of pages of documents, click one button, and you get these two very human sounding AIs that kind of riff on your content and create a personalized podcast for you. So they came out

with the new formats. So the brief, the critique, the debate, and then the deep dive, as well as the customizable length and tone, which I really love. And I did go over that much more in-depth on episode 608. So if you want to know more about that, go listen to that episode. Then in July, there was a ton of updates as well. The biggest one was video overviews. I have no clue how this technology even exists.

and I did a whole episode on that so you can go back and watch it, but same thing. Upload any of your source materials the same way you can just click a button and get an audio overview. Well, you can get a video overview as well. And the videos are actually really good,

all right, especially for the first iteration of a product. A lot of times the first iteration of a new feature that's technically groundbreaking is absolutely terrible. The video overviews from Notebook LM was one of those moments where my jaw hit the floor. And I'm like, how is this possible? Right. So the video overviews came out in July, a new refreshed studio UI,

which I'll show you when we do our full walkthrough, multi-version creation. So essentially you can create multiple versions of that where before, you can only create one and then multitasking. So even when you're watching or listening to the audio overview, you can continue to work or chat inside of Notebook LM. All right. And if you want to know,

more on that. Go listen to episode 578 covered it all in depth. All right, before we go any further, it just so happens. A word from our partners, which is NotebookLM. This podcast is supported by Google. Hey folks, Stephen Johnson here,

co-founder of Notebook LM. As an author, I've always been obsessed with how software could help organize ideas and make connections. So we built Notebook LM as an AI-first tool for anyone trying to make sense of complex information. Upload your documents and notebook LM instantly becomes your personal expert, uncovering insights

and helping you brainstorm. Try it at notebooklm.gooklm.com. Y'all, I swear it wasn't planned. I asked you all the newsletter, what do you want for the AI at work on Wednesdays and you said notebook LM? All right. Just putting that out there. So I told you some of the recent, including the October updates, the September updates and

the July updates, but what's next? What's coming around the corner? So there's been a lot of kind of confirmed leaks and notebook LM itself, at least online, has kind of hinted at what's next. So let me tell you what is coming next in notebook LM. Don't have dates on anything yet. But one feature that I'm really looking forward to is an integration with Google's nanobanana, the AI image generator.

So there will be an infographic feature that uses Google's extremely powerful, the best AI image model in the world, Nanobanana. I'm looking forward to that. Chat history will soon have the option to be saved by default, which is nice. I'll kind of show you kind of how that works. Like I said, notebook LM,

a little different than your Gemini chat chitis of the world. Nanobanana visuals are going to be coming to video overviews soon. Not like the visuals in there are bad. They're not. They're pretty good. They're actually well designed. I like the bright popping colors, but apparently they're going to be.

getting even better and at some point, hopefully soon, there will be an API for notebook LN. And at that point, if you're an entrepreneur, if you're trying to start a side hustle, when notebook LM comes out, my gosh, what you can create and to sell to people, it's going to be absolutely bonkers. All right. So let's now do a quick walkthrough. I'm putting myself on the clock here. A lot of you are saying, hey, the episodes are a little too long or, hey, Jordan, I'm on the treadmill.

I can't do 45 minutes every day. All right. So we're going to try to go a little quick here in Notebook LM. I'm going to do a complete walkthrough from the beginning. So here's what we're going to do. I'm going back sharing my screen, live stream audience. Let me know. Hopefully you can see it there.

All right. So when you are in Notebook LM, you're going to click. create new notebook. So like I said, notebook LM is grounded. It only works with your data. And there's different ways that you can upload your sources. And then your sources are going to go on the

left hand side. You can click Discover sources and you can just type in anything, right? So I can just type in LLM News, click, submit, and it's going to search, oops, I should probably click the actual button there. And then it's going to search on the

web. And then I can choose sources one by one to bring into my notebook. It's taken a quick second here. I can select them all. I can just select one. Here we go. I'll just select this random one right there and click import. All right.

So that is how you can discover sources. You can also add them by uploading them. It supports PDF, text, markdown, and audio. Yeah, you can upload in MP3 and it's going to automate. automatically transcribe it and you can talk to it. Y'all, for someone like me, a podcast, that's amazing, right? To be able to talk to my entire catalog of episodes, it feels illegal. That's why, I mean, one of the many reasons why Nobook L.M was our tool of the year in

in 2024. All right. You can also click to connect your Google Drive. You can select certain folders. You can bring in links to a website, links to a YouTube video, or you can copy and paste text. So that's the different ways that you can bring in different sources. So I'm going to go ahead. I'm going to paste text here just so I can have two different things. I'm going to paste in what I pasted in earlier, which is the transcript of the Dev Day episode that we did

yesterday. So now I have two different sources. Okay. And hopefully even if you're listening on the podcast, hopefully this can make sense. The pains are in. important. Okay, there's essentially three pains or three different areas inside of notebook LN. And the cool thing is, is you can adjust them. So you can collapse the source panel to give more room to the chat. You can also, uh, collapse the studio panel on the right hand side. So if you want a little bit more room, the middle pain is the chat pain. And that's where you do, uh, you know, a lot of your work. So in that instance, you are talking to Gemini 2.5 flash. All right. But only to the data that you upload.

And you can upload a ton of sources. I'm on a paid plan and I can upload 300 sources. I did the math on this. I forgot, but it's something like 60 million words or something like that. It's absolutely bonkers. Check the newsletter. I'm going to go fact check myself.

But it's just a ridiculous amount of content that you can put in there. All right. So before we go on anymore, just think of that. just think of that. Think of maybe how much time you spend using other large language models. Because all the other ones work the same. And I said, even if you're using projects, GPTs, gems, et cetera, and you upload your files, none of them have this kind of upload limits.

And also, even if you tell them in the custom instructions, hey, only look at my files, don't look at anything else, it's not reliable. Oftentimes it still will look at its own training data or it will browse the web even when you don't want it to. So right there, just think of the huge advantage that you have in notebook LM, that you can only bring in your company's data, something that you're trying to learn, a hobby, a passion project, a side hustle, whatever.

This is your partner that is essentially, it's not 100% hallucination-free, but it is essentially hallucination-free and always cited. So when you have, you know, 50 different sources on the left-hand side and you're asking a question of the model in the middle, it is going to cite and you can click on it and see the exact, not just the source that it came from, but the exact spot in that source. So talk about one of the biggest downsides of large language models in general.

Well, they're kind of a black box, right? And there's not always a lot of trust or transparency. And notebook LM, I think, flips that script on its head. All right. So now we've got essentially the two main panels. So we have the sources on the left. You can add, you can discover. And then you also have the chat in the middle.

And then the new updates that I just went over. That's the configure section in the chat where you can go do the learning guide or the custom. And then set the default length to default or to the response, set the response length to default longer or shorter. And then there's some little shortcuts at the bottom of the chat window, but those are technically just shortcuts to the studio. Okay. So the studio panel on the right hand side is actually pretty amazing. All right. So that's where you kind of get the audio overview.

And I'll just go ahead and I'm going to click an audio overview so you can see kind of the options here. Because I think this is a big reason why many people started using notebook L.M in the first place because it's really not just a cool piece of technology. I'll actually say it's a transformational piece of technology. It's changed how I personally learn. I prepare for most of my podcasts with Notebook LM. If I'm trying to learn something about a guest, you know, I don't want to,

you know, when a new feature comes out, I don't want to have a hundred tabs open. It's, it's hard. It's distracting. I love using Notebook LM to not just learn in a personalized way, but to also interact because you can,

in these customized audio overviews, you have the deep dive, the brief, the critique, the debate, but you can also make them interactive. So I'm just going to do the brief.

You can do custom instructions, all that thing. But I'm just going to click Generate. All right. I'm not sure if I'm going to do this little tutorial long enough, but I'm going to go ahead and click the same thing for video overview. So we'll give it a couple of minutes. Like I said, I don't want the episode to run too long, but let's see what else we have in the studio.

So in the studio on the right hand pane, it's just different types of multimedia that can personalize your learning. Because if you're like me, I hate, I hate learning from, big blocks of text. That's not how I do it. I love learning by listening, by seeing, by understanding visuals,

but by actually interacting with it. It's actually hard for me, which maybe is not good for me as a human being. It's actually hard for me to now learn at the level that I know I'm capable, learn a new subject, learn about a person. a new skill set, it's hard for me now to do it with just text. And I think, yes, online has changed, right?

The internet has changed so much of what we see online now is video or interactive media. But I actually think NoBook L.M might be to blame in a good way for that. I've become very accustomed to learning new things, specifically from the audio overviews and the video overviews. Also, you have a mind map. So I'm just going to go ahead and click and generate that. So now on the right-hand side for our live stream audience, you see that it's actually generating in the studio. It's generating three things at once.

It's generating the mind map. It's generating the audio overview and the video overview as well. Like I said, I went over these in much more detail. Recently, you also have the reports. The reports are great. These are essentially they saved them. They're saved as notes. Okay.

So you have these default kind of docks that it will create for you. All right. So a briefing doc, a study guide, a blog post, case study, key concepts, investment, memo, or strategic analysis. And actually, the suggested format, so those last four I read, those are dynamically created based on the source material that you upload. All right. So those are just simple reports. Maybe I'll just generate a briefing doc. Then you have the flashcards.

I'm just overloading. I'm going to crash notebook L.M here, trying to do all these things on the live stream. What could go wrong? Well, none of them could work. And then I'm going to do a quiz. All right. So I'm technically generating now six different things in the studio all at once.

It's just based on these two random sources. So hopefully it wouldn't take too long. All right. The good thing is, is, well, we have the mind map done. So I can click on the mind map. Very cool. And it's also interactive.

So it broke out, kind of the, these two unrelated sources, right? One was about large language model news. The other one was about OpenAI's Dev Day. So they're kind of related, but kind of not. And it did a pretty good job of breaking this into a mind map. And then I can click on these.

And it's putting out more and more kind of nodes or modules. So now I'm like four layers deep. And then the cool thing is you can actually click on these and then have a conversation with that module as well. All right. Let's go back to the studio. That's the mind map really cool. the quiz is done.

It's giving me a quiz. Just like that, according to the LLM market landscape 2025 report, what is Anthropics' key competitive strategy? Oh, I didn't read that. Well, I can guess. Let's see. I'm going to guess C positioning its models around a constitutional AI methodology and a safety-first narrative. That seems very much like Anthropic. There we go.

I got it right even though I didn't read the source material. So there you go. creating a quiz, and then it's going to give you feedback. So if you get it right or if you get it wrong, the quiz gives you feedback as well. That's the quiz module. Briefing document, straightforward, right? These are just kind of think of them as pre-packaged templates for different types of reports that you can do based on your sources.

And you can see how this is actually extremely useful, especially if you have multimedia sources, if you have MP3s, if you have YouTube videos, if you have PDFs, if you have, you know, web pages to be able to bring all of this into a standardized, and templatized report is actually huge. All right, let's see what else we have done here. Then we have the flashcards. Flash cards cool. They're just kind of visual flashcards, right?

You know, there's a front in the back. You read the front. So it says according to the 2025 market analysis, what percentage of consumer chatbot market does open AI consistently hold? All right. I think it's in the mid-70s percent. It depends on how old this analysis is.

The last one I saw was in the mid-70s. Oh, wait, I have to click C answer. There we go. Yes, I got it right. 74%. This maybe means I spent too much time that a report that I hadn't read. I'm guessing things right. All right, those are the flashcards front and back old school.

Y'all, I loved flashcards back. I was a geek. Yes. When I had free time, I did math flashcards. I memorized, you know, everything at a young age, right? Okay. So the cool thing is, is we. also have our. This is the brief on the rapidly evolving LLM market and OpenAI's latest strategic

moves. So there's new analysis outright. It shows a super competitive landscape and transformative new tools taking large language models, you know, LLMs, the tech. So there you go. We don't need to play the whole thing, but that was the brief. So that one is very short. I chose that one. So it would generate a little more quickly. If you do the deep dive, there's also this interactive feature where you can join the conversation, which I do all the time. Sometimes if I'm out taking a walk, I have notebook L.M on my phone, and I'll just ask questions. So of the two hosts and the deep dive, I'm listening. If I don't understand something or if I want something rephrase in a different way, you can literally just join, quote unquote, join the conversation.

It's like you're calling into a talk show and then you can ask questions and they'll answer it based on the source materials. All right. So it looks like the only thing that we didn't get generated in time, which is fine, the video overview, but we've done shows on that before. All right. So there you go. That is notebook LM in a nutshell. You add your sources, your sources on the left side. It's grounded. So when you chat with it in the middle pane, it's only going to pull answers from your sources. It's going to give you citations that you can click on and see the exact spot that is pulling that information from to increase trust and transparency. And then in the middle as well in the chat, right now it doesn't say.

anything. So any response that comes, you can click save to note. And then that note will be sent over to the studio. So keep that in mind. That feature is rolling out soon where it's going to save kind of your chat history. But for now, once you kind of refresh or leave the page, it's going to be gone. So if you're working in the middle pane and you get a lot of useful information, make sure to click save to note to save the note. So that is the middle. And then the new updates that we went over, being able to continue. configure and customize the conversational style and the response length. All right. And then on the right hand side, that's the studio. That's the multimedia, the audio, the video, the mind map, the reports, the flashcards, the quiz, and any notes you save are all over there on the right side. So that is notebook LM in a nutshell. Fast and Furious, complete walkthrough with all of the new features and content.

So I hope this was helpful, y'all. we went over what's new, reportedly what's next, and gave you a complete walkthrough. So whether you're a beginner or an expert, I hope that you gained some value from today. And well, you probably just regardless should go repost this show on LinkedIn. So if you are listening on the podcast, check the show notes. I always put a link to this specific LinkedIn post, all right, where we put our live stream version of the podcast. So go repost this.

And I'm going to share. I put together this resource. I spent a ton of time on it. And it is absolutely bonkers good. I put together a lot of these guides when I have so much extra information. And I'm like, I can't make this a five-hour podcast. What am I going to do with all this research? What am I going to do with all this, these high quality materials?

I can't put it in the newsletter either. I'm not going to make you read an 800-page newsletter. So this notebook L.M cookbook, it is great. Different use cases across different industry. all the different features in the utility, taking full advantage of notebook LM for everyday business leaders. Go repost this show. I'll send it to you in the DMs on LinkedIn.

It's amazing. Make sure you go do it. And then when you're down with that, if you haven't already, make sure you go to your everyday AI.com. Sign up for the free daily newsletter. We'll see you back tomorrow and every day for more. Everyday AI.

Thanks, y'all. Meet Firefly, AI. assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution. Stand control with the ability to step in and refine at any time. See it today at firefly.adobie.com.

And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter

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