The Secret Top 1% Use in NotebookLM - CourtneyR.dev's 2nd Brain

The Secret Top 1% Use in NotebookLM ![rw-book-cover](https://img.youtube.com/vi/VbXTXyxpg8E/maxresdefault.jpg) 🔗 **Source:** [The Secret Top 1% Use in NotebookLM](https://www.youtube.com/watch?v=VbXTXyxpg8E) > [!note]+ Document Notes > tags: #notebooklm #ai-tools #content-creation #google-gemini #multimodal-ai > author: Terry Brock > source: YouTube > reference: https://www.youtube.com/watch?v=VbXTXyxpg8E > date created: 2024-12-19 10:30 > > # 🏷️ Title: The Secret Top 1% Use in NotebookLM (Most Don't Know) >  ## 🧰 Action Inbox - [H1] Test multimodal redundancy by uploading both MP4 video and transcript to NotebookLM for richer AI outputs — 3:45 #notebooklm - [H2] Use URL referencing instead of direct upload for large video files (200MB limit) — 15:30 #content-creation - [H3] Explore all nine Studio capabilities: audio overview, slides, video, mind maps, reports, flash cards, quiz, infographic, data table — 16:45 #ai-tools ## 🧭 Table of Contents - [[#📝 Summary]] - [[#📖 Main Content]] - [[#🗒️ Notes]] - [[#📚 References]] - [[#🗣️ Paraphrase]] - [[#📰 Newsletter]] - [[#✅ Action Items]] - [[#🧪 Hypotheses]] - [[#📊 Methodology]] - [[#❓ Questions]] - [[#🔮 Future Research]] - [[#💡 Implications]] - [[#🧠 Learning Styles Assessment]] - [[#📊 Accessibility Assessment]] - [[#🌍 DEIB Assessment]] - [[#✅ Logical Validity]] - [[#🛡️ DARVO Analysis]] - [[#🎯 Conclusion]] ### 🔗 References - [NotebookLM by Google](https://notebooklm.google.com) - [Stark Craving Entrepreneurs](https://starkravingentrepreneurs.com) ## 📝 Summary - Terry Brock reveals an advanced NotebookLM strategy: uploading both video files and transcripts for "multimodal redundancy" - This technique allows NotebookLM's Gemini 3 engine to observe emotions, body language, and delivery style beyond just text - The multimodal approach produces richer, more authentic AI-generated content including audio overviews, slide decks, and video summaries - Content creators can leverage this to break through algorithm barriers and create more engaging repurposed content - The strategy positions creators as "creative conductors" who customize AI outputs rather than using them as-is ## 📖 Main Content NotebookLM from Google offers a powerful but underutilized feature that top content creators are leveraging: multimodal redundancy. This involves uploading both video content (MP4) and text transcripts to the same notebook, allowing the AI to process both visual/audio cues and textual information simultaneously. The underlying technology uses Google's Gemini 3 engine, which doesn't just read text but observes emotional context, body language, pacing, and delivery style. This results in AI-generated content that mirrors the creator's actual energy and personality rather than producing generic, robotic outputs. The technique addresses a key limitation where text-only inputs often result in flat, emotionless AI outputs because the system lacks context about the creator's actual delivery style and emotional tone. By providing both modalities, creators can ensure their authentic voice and energy are preserved in repurposed content. ## 🗒️ Notes #### ⏱️ [00:00](https://youtu.be/VbXTXyxpg8E?t=0) — [H1] Introduction to Advanced NotebookLM Strategy - Key idea: NotebookLM can transform content creation with special features most creators don't know - Evidence: "Notebook LM from Google is one of the most powerful tools I've seen for repurposing and for reaching audiences" #### ⏱️ [02:30](https://youtu.be/VbXTXyxpg8E?t=150) — [H2] The Multimodal Redundancy Discovery - Key idea: Combining MP4 video and text files creates superior AI outputs through multimodal processing - Evidence: Asked Gemini about strategy and learned it's "the exact strategy the top 1% of creative conductors are using in 2026" #### ⏱️ [03:45](https://youtu.be/VbXTXyxpg8E?t=225) — [H1] Why Multimodal Redundancy Works - Key idea: Gemini 3 engine observes rather than just reads, capturing emotions and context - Evidence: "The underlying Gemini 3 engine doesn't just read anymore. It observes." #### ⏱️ [05:15](https://youtu.be/VbXTXyxpg8E?t=315) — [H2] Visual Context Advantage - Key idea: MP4 files provide body language, slides, and delivery pacing that text cannot capture - Evidence: "The AI has indexed the energy of the video, not just the word. Users who only upload text often find the AI output feels dry or robotic" #### ⏱️ [07:30](https://youtu.be/VbXTXyxpg8E?t=450) — [H3] Emotional Context in Communication - Key idea: Human communication relies heavily on emotion and inflection, not just words - Evidence: Same words can have completely different meanings based on tone and relationship context #### ⏱️ [10:45](https://youtu.be/VbXTXyxpg8E?t=645) — [H2] File Size Limitations and Solutions - Key idea: NotebookLM has 200MB upload limit, but URL referencing works for larger files - Evidence: "You're allowed a maximum of 200 megabytes on a file that you'll upload in Notebook LM" #### ⏱️ [12:00](https://youtu.be/VbXTXyxpg8E?t=720) — [H3] Quality Control Benefits - Key idea: Using both sources helps correct transcription errors and mispronunciations - Evidence: Can cross-reference audio with corrected transcript for accurate brand names and pronunciations #### ⏱️ [14:30](https://youtu.be/VbXTXyxpg8E?t=870) — [H1] NotebookLM Interface Overview - Key idea: Three-panel interface with Sources, Chat, and Studio providing comprehensive workflow - Evidence: "Three panels that you have. One over here on the far left is sources. Over here in the middle is chat and on the right is studio" #### ⏱️ [16:45](https://youtu.be/VbXTXyxpg8E?t=1005) — [H2] Studio Capabilities Demonstration - Key idea: Nine different output formats available including audio, slides, video, mind maps, and more - Evidence: "Nine capabilities. You have audio overview, slide deck, video overview, mind map, reports, flash cards, quiz, infographic and data table" #### ⏱️ [18:20](https://youtu.be/VbXTXyxpg8E?t=1100) — [H3] Audio Overview Quality - Key idea: Audio outputs mirror creator's energy and delivery style when using multimodal inputs - Evidence: Demonstration shows clear, professional audio overview with appropriate pacing and tone #### ⏱️ [21:15](https://youtu.be/VbXTXyxpg8E?t=1275) — [H2] Professional Slide Deck Generation - Key idea: Automatically generates presentation-ready slides with customization options - Evidence: "Beautiful professional quality" slides generated from video content with language and format options #### ⏱️ [23:45](https://youtu.be/VbXTXyxpg8E?t=1425) — [H1] Video Overview with Animation - Key idea: Creates animated video summaries, not just static slides with voiceover - Evidence: "Not just some slides with a voice behind it, but the actual animation and movement" #### ⏱️ [26:30](https://youtu.be/VbXTXyxpg8E?t=1590) — [H1] Creative Conductor Philosophy - Key idea: Humans should orchestrate AI tools rather than just copy-paste outputs - Evidence: "You want to be that creative conductor... copy, paste, and then customize. Customize heavily" #### ⏱️ [30:00](https://youtu.be/VbXTXyxpg8E?t=1800) — [H3] Learning Style Accommodation - Key idea: Multiple output formats serve different learning preferences (visual, auditory, kinesthetic) - Evidence: "Some people learn best by visual... Others want to hear it... many people prefer the kinesthetic" ## 📚 References - [NotebookLM by Google](https://notebooklm.google.com) - [Gemini AI](https://gemini.google.com) - [Stark Craving Entrepreneurs](https://starkravingentrepreneurs.com) - [11Labs](https://11labs.com) - Voice generation tool mentioned - [Pagen](https://pagen.com) - Animation tool mentioned ## 🗣️ Paraphrase - NotebookLM's advanced strategy involves uploading both video files and transcripts to capture emotional context and delivery style, not just words - This multimodal approach allows Google's Gemini 3 engine to observe body language, pacing, and energy, resulting in AI outputs that mirror the creator's authentic voice - Content creators should act as "creative conductors," using AI tools strategically and customizing outputs rather than relying on raw AI-generated content ## 📰 Newsletter **NotebookLM Secret: The Multimodal Edge for Content Creators** Google's NotebookLM just got a major upgrade for content creators willing to go beyond basic text uploads. By combining video files with transcripts in the same notebook, you unlock "multimodal redundancy" - letting the AI observe your actual delivery style, emotions, and energy. **Why This Matters:** Instead of flat, robotic outputs, your repurposed content maintains your authentic voice. The Gemini 3 engine analyzes body language, pacing, and emotional context to generate audio overviews, slide decks, and animated videos that actually sound like you. **Quick Start:** Upload your video URL (for files over 200MB) plus a cleaned-up transcript. Then explore the nine Studio outputs - from professional slide decks to animated video summaries. Remember: customize everything. Be the creative conductor, not just a copy-paste user. Resources: [NotebookLM](https://notebooklm.google.com), [Gemini AI](https://gemini.google.com), [Content Creation Tools Guide](https://starkravingentrepreneurs.com) ## ✅ Action Items #### DevRel - Developer advocacy: Create tutorials on NotebookLM API integration for content platforms - Education: Develop workshops on multimodal AI processing for developer communities - Developer experience: Document best practices for video + transcript processing workflows - Community management: Host office hours for AI-powered content creation tools #### Content Creation - Video production: Test multimodal upload strategy with existing video library - Repurposing workflow: Establish process for generating multiple content formats from single source - Quality control: Implement transcript correction process for brand names and technical terms - Distribution strategy: Plan content across visual, auditory, and kinesthetic learning preferences #### AI Strategy - Tool evaluation: Compare NotebookLM outputs with other AI content generation tools - Workflow optimization: Create templates for consistent multimodal processing - Performance metrics: Track engagement differences between text-only vs multimodal-generated content - Integration planning: Explore API connections between NotebookLM and content management systems ## 🧪 Hypotheses - Content generated from video + transcript uploads will have higher engagement rates than text-only AI outputs - Multimodal AI processing preserves creator authenticity better than single-mode inputs - The 200MB file limit can be effectively bypassed using URL referencing without quality loss - Different learning style accommodations through varied output formats increase audience retention ### 📊 Methodology - A/B test engagement metrics between content created from text-only vs multimodal NotebookLM inputs - Survey audience preferences for different content formats (audio, visual, kinesthetic) - Measure time-to-creation for repurposed content using multimodal vs traditional methods ### ❓ Questions - How does NotebookLM's multimodal processing compare to other AI platforms like Claude or ChatGPT with vision? - What specific visual cues does Gemini 3 extract that most impact the quality of generated content? - Can the creative conductor approach be systematized for teams without losing individual authenticity? ### 🔮 Future Research - Integration possibilities between NotebookLM and major content management platforms - Scalability of multimodal processing for enterprise content operations - Cross-platform compatibility of NotebookLM outputs with social media algorithms ### 💡 Implications - Practice: Content creators need to shift from text-first to multimodal-first workflows - Education: Training programs should emphasize AI orchestration skills over AI replacement fears - Technology: Video-first content strategies may become more valuable as AI gets better at multimodal processing - Business: Competitive advantage may come from authentic voice preservation in AI-generated content ### 🧠 Learning Styles Assessment Reading level estimate: 8th-9th grade (accessible to general audience) #### 👀 Visual learners - Present: Screen recordings of NotebookLM interface, slide deck examples, animated video outputs - Improve: Flow diagrams showing multimodal processing workflow, before/after content comparisons #### 🔊 Aural learners - Present: Audio examples from NotebookLM, clear verbal explanations throughout video - Improve: Podcast-style summary of key concepts, audio-only version availability #### 🗣️ Verbal learners - Present: Clear definitions of "multimodal redundancy" and "creative conductor" - Improve: Glossary of AI content creation terms, analogy bank for technical concepts #### 🧩 Kinesthetic learners - Present: Step-by-step demonstrations of uploading and generating content - Improve: Interactive checklist for testing the strategy, hands-on workshop format #### 🧠 Logical learners - Present: Clear cause-and-effect relationships between input types and output quality - Improve: Decision tree for when to use different NotebookLM features, ROI calculations #### 🧑‍🤝‍🧑 Social learners - Present: References to community (Stark Craving Entrepreneurs), collaboration mentions - Improve: Discussion prompts for teams, peer review frameworks for AI-generated content #### 🧘‍♀️ Solitary learners - Present: Self-guided exploration encouragement, individual experimentation focus - Improve: Self-assessment rubrics for content quality, personal reflection questions #### 🌿 Naturalistic learners - Present: Organic workflow development, adaptive tool usage based on needs - Improve: Ecosystem thinking about content creation tools, sustainability of AI-enhanced workflows ### 📊 Accessibility Assessment #### Screen reader semantics - Present: Clear heading structure, descriptive link text in video description - Improve: Detailed alt text for all visual elements, ARIA labels for interface elements #### Keyboard navigation - Present: Standard YouTube controls accessible via keyboard - Improve: Detailed keyboard shortcuts guide for NotebookLM interface navigation #### Contrast and readability - Present: High contrast in screen recordings, clear text overlays - Improve: Ensure all UI elements meet WCAG AA contrast standards #### Text resizing and reflow - Present: Video scales appropriately on different screen sizes - Improve: Ensure all text remains readable at 200% zoom #### Media and captions - Present: Full transcript provided, clear audio throughout - Improve: Time-synced captions, audio descriptions for visual elements #### Forms and interactions - Present: Clear demonstration of form interactions in NotebookLM - Improve: Keyboard-only interaction guide, error handling explanations ### 🌍 DEIB Assessment #### Cultural breadth - Present: Focus on universal content creation challenges - Improve: Examples from creators in different regions, multilingual content considerations #### Inclusive language - Present: Generally uses accessible technical language - Improve: Define all technical terms, avoid assumptions about prior AI knowledge #### Neurodiversity support - Present: Multiple content formats accommodate different processing preferences - Improve: Clear section breaks, consistent structure throughout tutorial #### Representation - Present: Single creator perspective, primarily English-language focus - Improve: Diverse creator examples, accessibility for non-native English speakers #### Psychological safety - Present: Encouraging tone about experimentation and learning from mistakes - Improve: Address potential AI anxiety, emphasize human creativity value ### ✅ Logical Validity --- ## Full Transcript [00:03] Now recording to the computer and this [00:04] is the video I'm going to be doing the [00:07] second one on notebook LM showing some [00:10] special features a little bit more [00:11] intermediate to advanced level for [00:14] content creators and for creative [00:16] conductors you want to pull in notebook [00:18] LM is exactly for that because it can [00:20] give you audio some extra video that's [00:24] going to be really professional. It's [00:25] going to give you qards that you can use [00:28] some flash cards. is going to give you [00:29] all this a lot of good things. So, [00:31] that's what we're going to do. And let's [00:32] get our videos. Let's get our thumbnails [00:34] ready to go. [01:20] Okay, I think we got plenty of them. [01:22] Let's go. Now we're recording to the [01:24] cloud. Uh, no, no, recording to the [01:27] computer. Yeah, that's what we're doing. [01:29] Recording to this computer. Let's see [01:30] what it is. Recording settings. Yeah, [01:32] we're doing it that way. And it should [01:35] be working just fine. Okay, here we go. [01:36] And we will begin in 5 4 3 2. Notebook [01:43] LM from Google is one of the most [01:45] powerful tools I've seen for repurposing [01:48] and for reaching audiences, building [01:49] your business. I'm going to show you in [01:51] this video a special little trick that [01:53] not everybody knows about, but you're [01:55] going to know what you can do. And it's [01:56] a very simple thing to be able to really [01:58] expand your use of using Notebook LM in [02:02] a way that you're going to get a lot [02:03] more rich material from it. Hi, I'm [02:05] Terry Brock and we work with people [02:07] showing how to do that. And in this [02:09] video going to show you exactly what to [02:11] do. Matter of fact, let's get right into [02:12] it right now. [02:22] So, there I was hardly bothering anybody [02:24] when I was wondering, hey, what if I [02:26] were to take the audio and the video and [02:29] the text and put all of that in there in [02:31] Notebook LM? because you know it will [02:33] take up to 30 different sources. Well, I [02:36] got to thinking about that and I thought [02:37] specifically maybe just the video [02:39] because of course it's got the audio [02:40] too, but then also the text, but now [02:42] would we need to do that? And I thought, [02:44] hm, could we do that? And then I was [02:46] thinking it might work a good way and [02:49] not be too much. Well, good way to do [02:51] these things today is go to your [02:53] favorite friends, your LLMs. I love [02:56] working with Gemini. I love chat GPT [02:59] perplexity. Love Grock. get a lot of [03:01] good information from there and a couple [03:03] others. Claude using that as well now [03:05] really good. They're all good. They each [03:07] excel in different areas in different [03:09] ways. I went over in Gemini since I'm [03:11] dealing with notebook LM when I got a [03:13] question about how to use Notebook LM or [03:16] Gemini. They're both right there in the [03:18] Google family. So, I went over there and [03:20] looked at it and I thought, okay, what [03:21] if I to do that? Put the MP4 and the [03:24] text file in there and it gave me some [03:27] information that I want to share with [03:28] you right now. [04:09] So, here I am in Gemini. I wanted to go [04:11] there and get the information. I asked a [04:13] question. I said, I'm planning to use a [04:14] recent video in Notebook LM to get a lot [04:17] of repurposed content. I love the idea [04:18] of getting the extra audio and voices, [04:20] etc., etc. And I wanted to know about [04:22] putting in the MP4 a video as well as [04:25] the text. And look what it gave me and [04:26] coming back. This is directly from [04:28] Gemini Google working with notebook LM [04:32] to get that edge and break the 200 view [04:35] barrier. That was something I was saying [04:36] for a client. I want to do that right [04:37] now and get up over that 200. You are [04:40] hitting on the exact strategy the top 1% [04:43] of creative conductors are using in [04:46] 2026. Hey, that's a pretty good thing [04:48] there. Multimodal redundancy. That's a [04:51] term you want to remember. Uploading [04:53] both the MP4 and the transcript isn't [04:56] just extra word. It's the secret that's [04:58] important to highfidelity AI reasoning [05:01] in the 2026 version of Notebook LM. The [05:04] underlying Gemini 3 engine doesn't just [05:07] read anymore. Get this. This is [05:09] important. It observes. Here is why [05:12] uploading both gives you a massive [05:14] advantage. And what the current research [05:17] and power user community shows it's a [05:20] good thing to do. So there it is. [05:21] There's your answer. you definitely want [05:23] to do it. I'm going to go back and show [05:24] you the details of it. But remember that [05:25] it's doing more than just reading the [05:27] text. What it's doing is it's feeling [05:29] the emotions. It's looking what's there. [05:31] And if you go, whoa, that's really [05:33] something. It catches that. It does [05:36] that, which is pretty amazing when you [05:38] think about it. It's sensing those [05:39] moods. Because it's one thing in course [05:41] of communication with people. If let's [05:43] say I know hypothetical Bob, Bob and I [05:46] are good buddies and as guys, we joke [05:48] with each other all the time. Let's [05:50] suppose Bob wore an outfit that was a [05:51] little bit different. I could look at [05:52] Bob and go, "Yeah, Bob, that outfit [05:55] looks really good." Well, anyone that [05:59] knows us knows that Bob and I are good [06:00] friends, and I'm just making fun of him [06:02] or saying something like that. But I [06:03] said, "That outfit looks really good." [06:06] Those are the exact words that I would [06:08] use in that hypothetical. But you know [06:10] that it has a completely different [06:12] meaning 180 degrees out from saying, [06:14] "Bob looked good that day." Well, here's [06:17] the advantage. This is human life. In [06:19] real communication, we use emotion. We [06:21] use our inflections. [06:23] Those are important in communicating as [06:25] much or maybe more than the actual words [06:28] that are used. And so it is sensing [06:30] that. Notebook. LM does that. And it [06:33] gives you a chance to have an extra [06:35] advantage. [06:49] Okay, reading on here. It says the [06:50] visual context advantage with an MP4. [06:53] When you upload the MP4, Notebook LM [06:55] uses its multimodal vision capabilities [06:58] to see your body language, the slides [07:00] you're presenting, and the pacing of [07:02] your delivery. That's important. All of [07:05] that you put in there. If you're a high [07:07] energy speaker, the audio overviews and [07:10] cinematic video overviews will mirror [07:13] that hype because the AI has indexed the [07:16] energy of the video, not just the word. [07:19] That is golden. Users who only upload [07:22] text often find the AI output feels dry [07:25] or robotic because the AI is guessing [07:28] the town. The MP4 provides the soul of [07:32] the content. So this is critical. You [07:35] want to get more juice out of your [07:36] videos and you are a person who uses [07:39] emotion which is a good thing. And we [07:41] don't like the videos of Hello, I am [07:44] Terry and I am talking to you right now [07:46] this way. But you know, we're out of [07:48] there because you're competing against [07:49] the entire freaking internet and [07:52] everybody on YouTube, 500 bazillion of [07:55] them. I think I think it's the exact [07:56] number. Bazillion people out there. You [07:58] got to do something to stand out with [07:59] both quality and with the way that you [08:01] deliver it. That's critical. We talk [08:03] about that in our starting entrepreneur, [08:05] showing people how to look good on [08:07] camera and how to come across real well [08:09] then in your marketing. So, this is [08:11] something you want to pay attention to. [08:13] Make sure that you're using it that way. [08:15] And so, what I did is I tried it and you [08:16] know what? It really does work. I [08:18] uploaded the TXT file of a recent video [08:21] and I uploaded the MP4. Both of them [08:25] real good. By the way, there's another [08:26] benefit to that, too. Sometimes when [08:28] you're uploading a video or you have [08:31] just the text, the text could be [08:33] misspelled. That could be a problem. And [08:36] so, if you're mispronouncing it, then [08:37] people go, "This is not real. we know [08:39] something's wrong here. Well, what you [08:41] want to do is you want to make sure you [08:42] have that extra overriding [08:45] you that's going to help you to produce [08:47] even better quality. Putting that in [08:49] there, it checks for that. It can go to [08:51] the transcript and if you correct the [08:53] transcript if you knew that there was a [08:54] particular name or a brand that you [08:56] wanted to mention and it's often [08:58] mispronounced. Good idea to go in there, [09:01] make sure it's spelled correctly, maybe [09:02] even put in parentheses how it is [09:05] pronounced. That's a good thing. I [09:06] remember in radio days when I was back [09:08] in radio did a lot of radio undergrad [09:10] degree was radio, TV and newspaper and [09:12] when I did that we'd sometimes go in [09:14] there and we'd actually correct it right [09:16] uh on the spot so we could make sure it [09:17] is and then put a phonetic sound in [09:19] there so that way we could put it and we [09:21] knew that is the way you pronounce [09:23] someone's name say for instance in an [09:25] interview this is an extra edge doesn't [09:27] take much at all extra on your part no [09:30] extra charge of course but you want to [09:32] upload the MP4 and you're not I [09:34] shouldn't say upload what you do is you [09:36] reference it. You're allowed a maximum [09:38] of 200 megabytes on a file that you'll [09:41] upload in Notebook LM. And I you'll find [09:44] out very quickly. I uploaded one that [09:47] was like 1.7 gigabytes, which is not [09:49] unusual. And it came back with can't do [09:52] that, you know. Well, it actually didn't [09:53] go, but it was kind of like that in my [09:55] mind, but it will come back. So, here's [09:57] what you do. You put the URL in there on [10:00] the resource side that you do that and [10:03] it will work much better for you. Let me [10:05] show you what can happen when you do [10:06] this, right? [10:29] Well, I'm over here in Notebook LM right [10:30] now. You'll notice there's the three [10:32] panels that you have. One over here on [10:34] the far left is sources. Over here in [10:37] the middle is chat and on the right is [10:40] studio. If you've been around notebook [10:42] LM a little bit, you'll know what these [10:44] are about. So, I'm going to give just a [10:45] real quick brief overview in that in [10:47] case somebody is just getting started. [10:48] But this video is directed more toward [10:50] those that have a good working knowledge [10:52] of Notebook LM and want to go even [10:54] deeper and go into some of the advanced [10:55] levels. Notice what I did over here. I [10:58] took my Notebook LM for content creators [11:00] and creative conductors. That was the [11:02] name of the video there and another part [11:04] of a video that I had or another one [11:06] here unlock hidden gold in the context. [11:08] I used different names for the [11:10] production as I was going through it. [11:12] The first one you can see is text and [11:14] the second one here it referenced this [11:16] with the video. I did not do that. I [11:18] went in and I asked to upload it that [11:21] not to upload it but to reference it. So [11:23] it did there. So for instance I come up [11:24] here where it says add sources. I'd [11:26] click on that and down here on the [11:28] bottom you'll see where it has websites. [11:30] I click on that and I would be able to [11:32] punch in the URL. I tried uploading it [11:34] and like I said, it gave me that error. [11:37] And here in the middle, of course, you [11:38] got the chat. So, this you can put in [11:40] there to give explanations, put prompts [11:42] in there. You can put in, hey, I'd like [11:44] to make this a little bit more fun or [11:46] make this a little bit more serious for [11:48] a particular presentation. All of those [11:51] things can be handled. And then the [11:53] goodies and the output is over here on [11:55] the studio. So, you can look at what it [11:57] gave you. Look at the nine capabilities. [11:59] You have audio overview, just audio [12:01] alone, as you would think, a slide deck [12:04] for your PowerPoint or Keynote slides, [12:06] video overview. This is, oh my goodness, [12:09] I'm going to show it to you in just a [12:10] moment here. A mind map. I'm thinking [12:13] this is what Tony Buzzan would like. [12:14] Tony Buzzan, the father of mind mapping, [12:16] who uh did a great number of word. We're [12:18] still appreciative of him today. Tony, [12:20] you uh know we really appreciate you. [12:23] And reports that it can give you showing [12:24] you what's going on. This is good for [12:26] the first draft that you might use for a [12:29] LinkedIn post, for a blog post, for your [12:31] own newsletter that you might send out. [12:33] All kinds of things there. But I would [12:34] say first draft, make sure that it's you [12:38] doing the the work on it. You have your [12:40] flip flash cards here. Great for review [12:42] and for learning and study. Over here, [12:44] you have the ability to create a quiz. [12:47] That's kind of nice if you want to learn [12:48] something for yourself or for others. An [12:51] infographic and then data table. All [12:53] that's there. really nice. So, what I [12:55] want to do is first and start with you [12:57] see the audio overview up here. Real [12:59] handy with what it gives you down here. [13:01] I've got one created and I want you to [13:03] take a listen to this and you'll be able [13:05] to see and you'll be able to hear what [13:07] it sounds like, [13:20] always measuring yourself against [13:21] someone else. Ultimately, leveling up [13:23] your life mean [13:29] this is the brief on Terry Brock's [13:31] interview with Dr. Wayne Dyer. So, [13:34] content creator Terry Brock recently [13:36] analyzed this old audio cassette [13:37] interview he actually did with the late [13:39] self-help expert Dr. Wayne Dyer, [13:41] uncovering a really fascinating timeless [13:44] exchange about how we grow as people [13:45] and, you know, outsmart our own egos. [13:48] First, Dyer maps out our evolution [13:50] through four stages. starting with the [13:52] athlete and ending with the spirit. But [13:55] >> okay, I'll cut this off right there. [14:16] Okay, I'll cut that off right there. But [14:17] you can notice it was very good. A clear [14:19] voice coming through. I use the ability [14:22] there to make it brief. Look at this. [14:23] See, when you come in here, it gives you [14:25] the choice or format. Deep dive, brief, [14:28] critique, or debate. This way you can [14:31] figure out what you want to do. Is it [14:33] something you really need to learn? [14:34] Well, with a lot of details in there. [14:36] Well, the critique will help on that. [14:37] The deep dive also helps on that. So, [14:39] you can go real deep. Sometimes though, [14:40] you want it brief, which is what I [14:42] wanted here. So, I clicked on that. Give [14:43] me a short summary. And your length [14:45] here, you can say, "Okay, I'm going to [14:46] go with the default. Make it nice." Or [14:48] you can make it short or long depending [14:50] on that. and then give any extra [14:52] information right there. Great [14:54] technology and the people that designed [14:56] this, I think, did a great job. [15:02] Let's slide over here to the slide deck. [15:04] You'll see that's the next one. Now, if [15:06] I click here, it'll start generating a [15:07] new one. Or I can come down here and [15:10] take a look at what it did. I'm clicking [15:11] on that. And look at this. Let me make [15:13] this a large screen here for you so you [15:15] can take a look at it. Look at this. [15:17] Great for a PowerPoint or Keynote on the [15:20] Mac presentation that you can use and it [15:23] shows you what's going on there, how you [15:24] can use it. It shows you this. It just [15:26] went in there, grabbed the interview [15:28] that I had and all these kind of uh [15:30] features that I did and put in there the [15:33] way that it should go. Beautiful [15:35] professional quality and I think there's [15:37] a lot of capability. It did that and all [15:39] I had to do was just click on it, ask it [15:42] to put it together for me and it made it [15:44] happen very nicely. [15:55] And here's how it did it. Notice this [15:56] isn't the customized slide deck. Got a [15:58] detailed deck you can put in there. [16:00] Choosing your language, that's very [16:02] handy. And the presenter slides, you can [16:03] do it that way, which make it a little [16:05] bit uh less cumbersome when you want [16:08] need to do it very quickly. And then any [16:10] sp specific instructions you want to put [16:12] in there using your colors, maybe [16:13] putting in some extra pictures, whatever [16:16] things like that, you can do it right [16:17] here. [16:26] And this next one is really nice. Here [16:28] in the upper right corner, you'll see it [16:30] shows you video overview. What we're [16:32] going to do is we're going to pull that [16:33] up and let you see the kind of things [16:35] that this can do for you. See, as I'm [16:37] looking for it here, here we go. the [16:38] notebook overview right here. And I'm [16:40] going to click on play and notice what [16:41] it does. [16:44] There it is. It shows me that. I'm going [16:46] to go in here and click on this play [16:48] button down here on the bottom. [16:50] >> Google's Notebook LM is a free [16:52] multimodal AI research assistant [16:55] designed to turn raw data into [16:57] deployable assets. The ingestion [16:59] pipeline handles varied input [17:00] simultaneously. [17:02] >> You can feed the system directly using [17:04] YouTube links, MP3 audio files, and [17:06] PDFs. It synthesizes those inputs into [17:09] formatted outputs, generating audio [17:11] podcasts, presentation slide decks, and [17:13] interactive study guides. [17:15] >> Okay, I'm going to pause it there. This [17:17] is nice. Not just some slides with a [17:20] voice behind it, but the actual [17:21] animation and movement. This is really [17:24] >> allowing you to manage links into an [17:25] objectively. [17:26] >> There we go. She's interrupting me on [17:28] this, but uh we'll put that in there. [17:29] This is kind of fun. We can do it. And [17:31] you'll see it gives you a lot of [17:33] different [17:34] >> audio podcasts and custom [17:35] >> a lot of different movement which is [17:37] really good with an audio with a video. [17:40] This can be used to make sure that it [17:42] supplements what you're doing. [17:45] And you see that's one of the best parts [17:47] of it. You're able to take this and you [17:48] can use it in conjunction with the video [17:51] that you create, the audio that you [17:53] create, the text that you create. All of [17:55] this can be repurposed. You can, as I [17:57] like to say, repurpose the daylights out [17:59] of this thing. so that you're going to [18:01] get more juice out of it all the time. [18:03] Those of us who watch and enjoy Gary [18:05] Vaynerchuk, Gary Vee, he talks about the [18:07] importance of repurposing and doing a [18:09] lot of content that you create and then [18:12] repurpose it out there. And uh I think [18:14] that's a great one. By the way, Gary, we [18:15] appreciate you if you ever catch this [18:17] video. Thank you for what you're doing. [18:18] But this gives you the ability, my [18:20] fellow content creator or creative [18:23] conductor, the ability to really be that [18:25] conductor. This is the key. Today we've [18:28] got AI turnurning out all kinds of [18:30] information faster than any human can do [18:32] it. Pretty good quality in many cases. [18:35] Yeah, really good. It's faster and it's [18:37] cheaper. How are we going to compete [18:39] with that as human beings? Well, as [18:41] we've been saying at Stark Craving [18:42] Entrepreneurs and on our group that we [18:44] work with, we say what you want to do is [18:46] you want to be that creative conductor [18:49] so that you go in there and you put in [18:51] your views, your ideas, the feelings [18:54] that you have, not just what we see it [18:57] give you. You do not want to just copy [18:59] and paste and then think you're all [19:01] done. No, no, no, no. What you want to [19:04] do is you want to copy, paste, and then [19:06] customize. Customize heavily. That's [19:09] what a creative conductor does. Think of [19:11] a conductor of an orchestra. The [19:13] conductor goes in and works with the [19:15] people. The conductor might not be the [19:16] best violin player and the best piccolo [19:20] player and the best on percussion and [19:22] the best on No, usually not. But that [19:26] conductor knows the real strengths and [19:28] when to bring in the brass instruments, [19:30] when to bring in the wind instruments, [19:33] when to bring in the other instruments [19:34] and when to not do that. When should it [19:36] be more quiet and soft? And then when [19:38] should it be more upbeat and a little [19:41] bit louder? This is what you want to do. [19:44] Know what the message is. Know the [19:46] content in your area in your area of [19:48] expertise. And then from there, know the [19:50] tools what they can do. Hey, sometimes [19:52] we want to use chat and GPT for this. [19:54] That's a good one. We'll use that. Other [19:56] times, we might want to use Claude. [19:58] Claude's got a little bit more of an [20:00] advantage in this particular area. [20:02] Perplexity. Holy Toledo really does a [20:05] good job with research and some others. [20:07] So, you want to know a little bit. You [20:09] don't have to know all of them. In fact, [20:11] we can't. Uh, some of us have tried to [20:13] do that. Not not naming any names here, [20:15] but uh Yeah. Yeah. Not that I would ever [20:17] do that. Yeah. Well, we can't do it. And [20:21] so, what you want to do is at least know [20:22] what it what it can do. No. Okay. If I [20:25] need to do some things with voice, I'll [20:26] give you a good example. I know a little [20:28] bit about 11 Labs. I love the product. [20:31] I'm a regular subscriber to it and I'll [20:32] use it every so often, but I don't know [20:34] that much about it, but it is very good. [20:36] And I know if you need some voice work, [20:38] that's a good tool to consider. Pay [20:41] genen is another good tool for doing [20:43] animation, for getting a likeness of [20:46] yourself. We're working with clients on [20:48] that. We help them do that, making money [20:50] in other countries by using a different [20:52] language. It's amazing. I don't know all [20:54] the details of it, but we know enough to [20:56] get in there and work with it. You want [20:58] to be that creative conductor and [20:59] working with Notebook LM, it gives you [21:02] the ability to do that as well in a big [21:04] way. [21:34] And we're back now in the studio here in [21:36] the studio again on the right side here [21:38] with Notebook LM. I'm going to click on [21:40] graphic and you can see what we can do [21:41] with this. I'm going to click over here [21:43] on the right and you'll see it gives you [21:44] the ability to choose your language. [21:46] Select the orientation. By the way, [21:48] often a real good orientation on that is [21:51] portrait and the square. I tend to like [21:54] the square. more but portraits very good [21:57] for the people who are reading it from [21:59] their phones which is only I think about [22:01] 86% according to the studies who know a [22:05] lot more about this than I do than I do [22:07] they are putting this together and you [22:09] want to use square or portrait many [22:11] times you can use landscape that's [22:13] probably good if you wanted to use it in [22:15] a real live presentation with other [22:17] people say um professional speaker like [22:20] I am and have been now for what about 42 [22:22] 43 years and be able to So these things [22:25] that kind of orientation would be good. [22:26] Then often though for reading it on [22:29] email or seeing it in a blog site uh or [22:32] your your website on a blog you could do [22:35] it that way and you put in the details [22:36] that you want right here. Real handy on [22:39] that and it does some very nice things [22:40] for you. [22:53] And over here you can see that it [22:54] created a nice infographic for me. This [22:56] one would be more intense and I would [22:58] probably put this one in a book because [23:00] if you put this into a slide, you're [23:02] probably not able to read all the [23:03] details of what's going on there. I [23:05] mean, there's some nice things there. [23:07] I'm going to zoom in on it here. See how [23:08] I can do that a little bit. It gives me [23:10] a little bit of information, a little [23:11] bit of capability there that I can see [23:13] it if I zoom in here. But if you're [23:15] going to use this in a presentation or [23:18] if you're going to put this on a phone, [23:20] people would not be able to read all of [23:21] that. So you just behave accordingly and [23:23] designed in accordingly. [23:42] And here's another one that you can look [23:43] at as well over here on the bottom [23:45] right. It's called the data table. This [23:47] is one they've added recently. It gives [23:48] you the ability to put in the data. You [23:50] can describe it here, put it in that [23:52] way, and it will generate that based on [23:54] what's on there. You'll want to be a [23:55] little bit more um specific on what you [23:58] want it to do and how to do that. [24:08] So, I'm going to come down here in the [24:09] bottom. You'll see that it's got [24:10] notebook features and content creation. [24:13] It created this graph. This is very [24:15] nice. Many people like to see it that [24:17] way. So, it shows you the feature name, [24:18] a description, supported input formats, [24:21] key output, benefit. It found all of [24:23] this out based on what I had in my [24:25] unique video just like yours is going to [24:28] be different. And it gives you a nice [24:30] format here. Now, this is appropriate in [24:32] some situations. You'll be able to [24:34] decide where it's available and when [24:36] it's there. So, there's a lot of [24:39] involved and a lot of capabilities you [24:41] have with Notebook LM. I recommend that [24:44] you get in there at an advanced level [24:45] after you've worked with it and see what [24:47] is available. I'm finding people are [24:49] loving this. We just did a program [24:51] recently uh with my buddy Jim Feldman [24:53] who was talking about Notebook LM at our [24:55] stark craving entrepreneurs. Hi Jim, [24:57] you're watching this. Hope you're [24:58] enjoying it. But uh we showed how to do [25:00] it. Jim showed some amazing things that [25:02] can be done with this. And Notebook LM [25:05] gives you the capability to get a lot [25:08] done. I want you to get in there and [25:10] splash around in it. The way we learn [25:12] things these days is you get in there, [25:14] you try it, you make mistakes, you try [25:15] this, and you make another mistake. That [25:17] didn't work. You make a mistake, you get [25:18] kind of upset. One thing you can do, [25:20] pick up your phone and ask your favorite [25:24] LLM, the large language model, ask Chat [25:26] GPT, ask Gemini, ask Grock, how do you [25:30] do this? And many of them now have added [25:33] the ability so that you can click your [25:35] camera and it will see the screen. So [25:37] you can say, look at the screen here. [25:38] I'm on this. What do I do here? I need [25:41] it to do this, this, and this. And then [25:42] it can come back and say, "Oh, oh, you [25:44] need to look over here on the right. You [25:46] see that red button up there?" Yeah. [25:48] Okay. Well, click on that one and then [25:50] click over here. That is a godsend for [25:53] us who are working with technology over [25:55] and over and we have questions and when [25:58] you know what I'm talking about. Come [25:59] on. Content creator here to content [26:01] creator. But it's how frustrating it is [26:03] when you're trying to get something [26:04] done, you just can't do it. And I found [26:07] that using several colorful military [26:09] metaphors don't always solve the [26:11] problem. I know, I know, they don't. [26:13] Anyway, what you want to do is be able [26:15] to get the assistance you need from the [26:17] phone and from your LLM. This is opening [26:20] up a world of opportunities. And how can [26:22] this help you in business? Hey, that's [26:23] the most important thing. Start craving [26:25] entrepreneurs, we talk about making [26:27] money and how to do that. We want to [26:30] help others be able to do it. And one of [26:32] the things you can do is when you're [26:33] able to reach people in a variety of [26:35] ways, that's good. Some people learn [26:37] best by visual. When they see something, [26:40] they feel better at it. They can use [26:42] that. Others want to hear it. They're [26:44] more audio oriented. Gina, my partner, [26:47] is like that. She likes to listen to a [26:49] lot of audio. I like listening to it as [26:51] as well, but I tend to prefer the visual [26:53] first. You can do both this way. You put [26:57] it together. And many people prefer the [26:59] kinesthetic. They feel it. They want to [27:01] get in there and wrap their arms around. [27:02] They want to get a feel for the thing. [27:05] This is how we operate. Now, I'm no [27:07] psychologist, but psychologist and [27:09] neurologist and others who are way, way [27:10] smarter than me in this area say you [27:12] want to be able to appeal to the right [27:14] mode, the right flavor of learning that [27:17] people have. Now, you can do this with [27:20] Notebook LM as never before. It is [27:23] wonderful. I encourage you to get in [27:25] there, take a look at it, and come over [27:27] and see us at Stark Raving [27:28] Entrepreneurs. That's [27:29] starkravingontrepreneurs.com [27:32] or over on our YouTube channel. You can [27:34] take check it out there. We also have a [27:36] lot of other capabilities there where we [27:37] help people learn how to use the tools [27:40] and then use it to make money. Use it to [27:43] build your business. Let me know what [27:45] you think. Leave a comment down below. [27:47] Whatever platform you're getting this [27:48] on, I would love to hear from you. I'm [27:50] Terry Brock with Stark Craving [27:52] Entrepreneurs. Looking forward to [27:54] hearing from you.  📄 **Full text:** ![[Full Document Contents/Articles/The Secret Top 1% Use in NotebookLM|The Secret Top 1% Use in NotebookLM, YouTube]] ## Highlights - Now recording to the computer and this is the video I'm going to be doing the second one on notebook LM showing some special features a little bit more intermediate to advanced level for content creators and for creative conductors you want to pull in notebook LM is exactly for that because it can give you audio some extra video that's going to be really professional. It's going to give you qards that you can use some flash cards. is going to give you all this a lot of good things. So, ([View Highlight](https://read.readwise.io/read/01knww0dfxzz33d97ebavb6b7w)) - Tags: 👻 ai highlighted - a way that you're going to get a lot more rich material from it. Hi, I'm Terry Brock and we work with people showing how to do that. And in this video going to show you exactly what to do. Matter of fact, let's get right into it right now. So, there I was hardly bothering anybody when I was wondering, hey, what if I were to take the audio and the video and the text and put all of that in there in ([View Highlight](https://read.readwise.io/read/01knww0dg07e4cx1z92qckzmn9)) - Tags: 👻 ai highlighted - Notebook LM? because you know it will take up to 30 different sources. Well, I got to thinking about that and I thought specifically maybe just the video because of course it's got the audio too, but then also the text, but now would we need to do that? And I thought, hm, could we do that? And then I was thinking it might work a good way and not be too much. Well, good way to do these things today is go to your favorite friends, your LLMs. I love working with Gemini. I love chat GPT perplexity. Love Grock. get a lot of ([View Highlight](https://read.readwise.io/read/01knww0dg5z0yt0c05hjqa5bgf)) - Tags: 👻 ai highlighted - good information from there and a couple others. Claude using that as well now really good. They're all good. They each excel in different areas in different ways. I went over in Gemini since I'm dealing with notebook LM when I got a question about how to use Notebook LM or Gemini. They're both right there in the Google family. So, I went over there and looked at it and I thought, okay, what if I to do that? Put the MP4 and the text file in there and it gave me some information that I want to share with you right now. ([View Highlight](https://read.readwise.io/read/01knww0dgbmssyj57cbfvypett)) - Tags: 👻 ai highlighted - now. You'll notice there's the three panels that you have. One over here on the far left is sources. Over here in the middle is chat and on the right is studio. If you've been around notebook LM a little bit, you'll know what these are about. So, I'm going to give just a real quick brief overview in that in case somebody is just getting started. But this video is directed more toward those that have a good working knowledge of Notebook LM and want to go even deeper and go into some of the advanced levels. Notice what I did over here. I took my Notebook LM for content creators ([View Highlight](https://read.readwise.io/read/01knww0dhgf7wvzra8a96atqt7)) - Tags: 👻 ai highlighted