WEBVTT 00:00:00.000 --> 00:00:01.899 Do you ever look at your bookshelf and just feel 00:00:01.899 --> 00:00:06.379 this, I don't know, this kind of sadness? Oh, 00:00:06.379 --> 00:00:08.580 yeah. You've got this whole stack of books. It's 00:00:08.580 --> 00:00:11.039 thousands of dollars, hundreds of hours of your 00:00:11.039 --> 00:00:14.119 life. And you just know you've forgotten, what, 00:00:14.160 --> 00:00:16.879 80 % of what you read? It's so frustrating. It's 00:00:16.879 --> 00:00:19.760 that passive, one -way street of traditional 00:00:19.760 --> 00:00:22.620 reading. It's real. You consume it, but you don't 00:00:22.620 --> 00:00:26.620 really digest it. And our mission for this deep 00:00:26.620 --> 00:00:29.460 dive is to change that. we're going to explore 00:00:29.460 --> 00:00:34.119 how to turn that stack of expensive paper into 00:00:34.119 --> 00:00:37.380 a living, personalized knowledge partner. I like 00:00:37.380 --> 00:00:39.479 that. So we're building a personal conversational 00:00:39.479 --> 00:00:42.240 AI tutor directly from your physical books. This 00:00:42.240 --> 00:00:45.840 is all about moving from just consuming to actually 00:00:45.840 --> 00:00:48.119 mastering the knowledge. So our roadmap today, 00:00:48.119 --> 00:00:50.240 we're going to start by defining what this AI 00:00:50.240 --> 00:00:52.920 tutor actually is. What makes it so different 00:00:52.920 --> 00:00:56.460 from a standard chatbot and the learning science 00:00:56.460 --> 00:00:58.640 behind why it's so effective? And then we're 00:00:58.640 --> 00:01:00.719 getting practical. We'll detail the actual tools 00:01:00.719 --> 00:01:05.439 you need, the requirements, and the really crucial 00:01:05.439 --> 00:01:07.420 step of digitizing your books the right way. 00:01:07.719 --> 00:01:09.819 And finally, we'll spend a good chunk of time 00:01:09.819 --> 00:01:12.439 on the most valuable part. The interaction. The 00:01:12.439 --> 00:01:15.560 best techniques for talking with your new teacher, 00:01:15.719 --> 00:01:18.659 making sure the knowledge sticks, and the safeguards 00:01:18.659 --> 00:01:21.400 you need to guarantee it's accurate. This sounds 00:01:21.400 --> 00:01:23.640 perfect for anyone who just wants knowledge to 00:01:23.640 --> 00:01:26.489 actually stick. Quickly and thoroughly. So let's 00:01:26.489 --> 00:01:28.890 unpack that core problem first. You called it 00:01:28.890 --> 00:01:32.230 the leaky bucket brain. The leaky bucket. We 00:01:32.230 --> 00:01:34.650 pour all this information in and it just it drips 00:01:34.650 --> 00:01:37.489 out because the process is so passive. Right. 00:01:37.530 --> 00:01:40.329 When you read a book, the author is just talking 00:01:40.329 --> 00:01:43.590 at you. The book can't stop and say, Hey, did 00:01:43.590 --> 00:01:46.329 you get chapter two? It can't re -explain a complex 00:01:46.329 --> 00:01:48.829 sentence in a simpler way if you're confused. 00:01:49.109 --> 00:01:51.030 It just keeps going. So that's the fundamental 00:01:51.030 --> 00:01:53.409 failure, the one -way street. So what is this 00:01:53.409 --> 00:01:55.569 virtual teacher that we're talking about creating? 00:01:55.790 --> 00:01:57.930 How does it fix that? OK, so this is a highly 00:01:57.930 --> 00:02:00.890 focused AI. It is not a generic web scraping 00:02:00.890 --> 00:02:04.049 bot. Got it. This is a tool that has ingested 00:02:04.049 --> 00:02:07.750 one specific book. Cover to cover. Its only source 00:02:07.750 --> 00:02:10.150 of knowledge is that single file. And that's 00:02:10.150 --> 00:02:12.949 key. It's everything. It understands the hard 00:02:12.949 --> 00:02:15.990 facts, the context, even the subtle shifts in 00:02:15.990 --> 00:02:18.270 the author's tone from chapter to chapter. OK, 00:02:18.289 --> 00:02:20.030 so let's get into the technical weeds here for 00:02:20.030 --> 00:02:22.569 a second. Why does this work so much better than 00:02:22.569 --> 00:02:25.629 just, I don't know, uploading a book to a standard 00:02:25.629 --> 00:02:28.360 web chat bot? It all comes down to the model's 00:02:28.360 --> 00:02:30.400 context window. The context window. Yeah, think 00:02:30.400 --> 00:02:32.659 of it like the AI's short -term memory. A lot 00:02:32.659 --> 00:02:35.460 of generic chatbots, their window is tiny. So 00:02:35.460 --> 00:02:37.879 like, it can only remember the last few pages. 00:02:38.060 --> 00:02:40.120 Maybe the last five pages of a book, yeah. So 00:02:40.120 --> 00:02:42.439 if you ask it about a concept from chapter one, 00:02:42.560 --> 00:02:44.719 but all it remembers is chapter 10. The answer's 00:02:44.719 --> 00:02:46.120 going to be terrible. It's going to be useless, 00:02:46.780 --> 00:02:50.439 precisely. A large context file -aware model, 00:02:50.620 --> 00:02:52.759 which is what we're using here, can hold the 00:02:52.759 --> 00:02:56.189 entire 300 -page book. in its active memory. 00:02:56.270 --> 00:02:58.750 The whole thing. The whole thing. Which allows 00:02:58.750 --> 00:03:01.330 it to make connections, to maintain consistency, 00:03:01.930 --> 00:03:04.389 and to answer questions based on the full scope 00:03:04.389 --> 00:03:06.729 of the author's argument. Okay, I get the leaky 00:03:06.729 --> 00:03:09.469 bucket analogy, but couldn't I just use, you 00:03:09.469 --> 00:03:12.509 know, old school flashcards? Yeah. Or just take 00:03:12.509 --> 00:03:16.430 better notes. Why is the AI interaction the superior 00:03:16.430 --> 00:03:19.439 way to plug the leak? The key is active processing. 00:03:19.620 --> 00:03:22.000 Active processing. Provide with immediate, perfect 00:03:22.000 --> 00:03:24.680 feedback. When you interact with the AI, you 00:03:24.680 --> 00:03:27.340 are forced to retrieve information. Right. And 00:03:27.340 --> 00:03:30.879 that retrieval process pushes it past that fleeting, 00:03:31.000 --> 00:03:34.280 working memory deep into your long -term memory. 00:03:34.479 --> 00:03:36.520 So flashcards do that, but this is different. 00:03:36.699 --> 00:03:39.159 Flashcards are retrieval, yes, but they rely 00:03:39.159 --> 00:03:41.979 on you correcting yourself. Ah. And all that 00:03:41.979 --> 00:03:44.319 manual effort. The AI does all the heavy lifting. 00:03:44.460 --> 00:03:46.439 So you're forcing your brain to actually chew 00:03:46.439 --> 00:03:48.409 on the knowledge. instead of just swallowing 00:03:48.409 --> 00:03:50.169 it whole and forgetting it five minutes later. 00:03:50.270 --> 00:03:53.090 Whoa! I mean, imagine giving every single one 00:03:53.090 --> 00:03:55.409 of those expensive dusty books on your shelf 00:03:55.409 --> 00:03:58.969 a second life. Turning that static object into 00:03:58.969 --> 00:04:01.050 a ready -to -talk knowledge partner that's available 00:04:01.050 --> 00:04:03.909 at 2 a .m. or on your lunch break. That's real 00:04:03.909 --> 00:04:06.810 scalability of learning. So if the goal is true 00:04:06.810 --> 00:04:09.889 mastery, what is the single biggest failure of 00:04:09.889 --> 00:04:13.409 traditional reading? It's the passive, non -interactive, 00:04:13.590 --> 00:04:16.189 one -way street nature of the process. Okay, 00:04:16.329 --> 00:04:19.009 let's get practical. The tools, let's focus on 00:04:19.009 --> 00:04:20.889 the function first, not the specific brands. 00:04:21.550 --> 00:04:23.970 What do we need? So, to bridge that physical 00:04:23.970 --> 00:04:26.670 and digital gap, you need three functional elements. 00:04:27.050 --> 00:04:29.930 First, high -quality, high -speed image capture 00:04:29.930 --> 00:04:33.160 and OCR. Okay, so that's what converts the paper 00:04:33.160 --> 00:04:35.879 into text the machine can read. Exactly. For 00:04:35.879 --> 00:04:37.819 the image capture part, the professional option 00:04:37.819 --> 00:04:40.540 people often talk about is something like a CZUR 00:04:40.540 --> 00:04:43.120 -type scanner. I've seen those. They have tech 00:04:43.120 --> 00:04:46.120 that flattens the curve of the page. Right. And 00:04:46.120 --> 00:04:48.500 crucially, a foot pedal, so you can capture pages 00:04:48.500 --> 00:04:51.220 really fast. And the budget option. It's on your 00:04:51.220 --> 00:04:53.759 phone. Yeah. Apps like Adobe Scan or Microsoft 00:04:53.759 --> 00:04:57.069 Lens. But I have to warn you... It's extremely 00:04:57.069 --> 00:04:59.689 tedious. Oh, I can imagine. A 300 -page book 00:04:59.689 --> 00:05:01.970 would feel like a marathon. A marathon of taking 00:05:01.970 --> 00:05:03.649 photos and trying to get the alignment right. 00:05:03.949 --> 00:05:05.889 Yeah. OK, element number two, the central brain. 00:05:06.110 --> 00:05:09.230 The large context file -aware LLM interface. 00:05:09.610 --> 00:05:11.089 This is the tech that can hold the whole book 00:05:11.089 --> 00:05:13.730 in its memory, like Microsoft Copilot or other 00:05:13.730 --> 00:05:16.610 pro models. And the final piece, element three. 00:05:17.170 --> 00:05:20.850 Secure indexed cloud storage. The AI needs a 00:05:20.850 --> 00:05:23.430 safe place to access and index the file. So something 00:05:23.430 --> 00:05:26.230 like OneDrive or any enterprise -grade cloud 00:05:26.230 --> 00:05:28.009 service you trust. All right. Now for what you 00:05:28.009 --> 00:05:30.329 call the crucial technical step, the scanning 00:05:30.329 --> 00:05:35.250 process itself. Patience here is mandatory. Garbage 00:05:35.250 --> 00:05:37.730 in, garbage out. Right. If you're using the pro 00:05:37.730 --> 00:05:39.949 equipment, you set it up on a flat surface, use 00:05:39.949 --> 00:05:42.490 the foot pedal. The source material notes that 00:05:42.490 --> 00:05:46.410 a 300 -page book can take just 15 to 20 minutes. 00:05:46.670 --> 00:05:49.110 That's incredibly fast. Yeah. But what's the 00:05:49.110 --> 00:05:50.850 secret sauce that makes it actually work? This 00:05:50.850 --> 00:05:53.250 is non -negotiable. You have to save the output 00:05:53.250 --> 00:05:56.470 as a searchable PDF. A searchable PDF. And that 00:05:56.470 --> 00:05:59.259 uses OCR, right? Optical character recognition. 00:05:59.399 --> 00:06:02.000 That's it. It turns the image of the page into 00:06:02.000 --> 00:06:04.300 actual readable text the computer can understand. 00:06:04.639 --> 00:06:07.319 If the OCR fails, the AI can't read anything. 00:06:07.439 --> 00:06:09.100 It's just looking at a picture. It's just looking 00:06:09.100 --> 00:06:11.540 at a picture, exactly. And a critical tip from 00:06:11.540 --> 00:06:15.160 the sources. Scan in a well -lit room, but avoid 00:06:15.160 --> 00:06:17.779 direct sunlight. Because of glare. Glare throws 00:06:17.779 --> 00:06:20.279 off the OCR and you get garbled text. So what 00:06:20.279 --> 00:06:22.699 is the critical requirement for the AI to actually 00:06:22.699 --> 00:06:25.790 read the physical book content? The file must 00:06:25.790 --> 00:06:29.069 be saved as a searchable PDF via successful OCR. 00:06:29.589 --> 00:06:31.670 So once you have that beautiful searchable PDF, 00:06:32.269 --> 00:06:34.449 you're ready to bring your teacher to life. Yep. 00:06:34.970 --> 00:06:37.689 You upload it to your cloud storage, maybe create 00:06:37.689 --> 00:06:40.949 a clean folder like AI library, and just drag 00:06:40.949 --> 00:06:42.910 and drop the file. And then the verification 00:06:42.910 --> 00:06:46.529 check. This seems important. Vital. Open the 00:06:46.529 --> 00:06:48.569 file in your browser and try to highlight a random 00:06:48.569 --> 00:06:50.529 paragraph with your mouse. And if you can highlight 00:06:50.529 --> 00:06:52.949 the words? The OCR worked. If you can't, you've 00:06:52.949 --> 00:06:55.170 got a problem, and you need to rescan that section. 00:06:55.449 --> 00:06:58.850 Okay, now for the fun part. Waking up the teacher. 00:06:59.209 --> 00:07:01.870 You go to your LLM interface, Copilot, in this 00:07:01.870 --> 00:07:04.230 example, and you use the little paperclip or 00:07:04.230 --> 00:07:07.050 attachment icon to link the file from your cloud 00:07:07.050 --> 00:07:10.019 storage. But this next part? is where the mastery 00:07:10.019 --> 00:07:12.319 begins. It really is. I still wrestle with prompt 00:07:12.319 --> 00:07:14.920 drift myself. If you don't give the AI a strong 00:07:14.920 --> 00:07:17.399 role to play, the quality of its output and therefore 00:07:17.399 --> 00:07:19.939 your learning just plummets. So it's not enough 00:07:19.939 --> 00:07:22.540 to just upload the file? No. You need to give 00:07:22.540 --> 00:07:24.920 it context. You give it a command. Something 00:07:24.920 --> 00:07:28.579 like, I just uploaded a book on behavioral economics. 00:07:29.519 --> 00:07:32.480 Please act like a skeptical but very patient 00:07:32.480 --> 00:07:35.800 college professor and quiz me on the most complex 00:07:35.800 --> 00:07:38.519 concepts. And the AI will actually take on that. 00:07:38.569 --> 00:07:41.709 persona. It'll acknowledge the prompt, it internalizes 00:07:41.709 --> 00:07:44.509 that role, it reviews the table of contents to 00:07:44.509 --> 00:07:46.790 get the structure of the book, and then it'll 00:07:46.790 --> 00:07:48.709 confirm it's ready to start the dialogue. You've 00:07:48.709 --> 00:07:50.449 basically just hired your own personal professor. 00:07:50.550 --> 00:07:53.170 You have. So beyond just asking for definitions, 00:07:53.589 --> 00:07:56.089 what interactive method provides the highest 00:07:56.089 --> 00:07:58.970 learning value? Active recall. Forcing your brain 00:07:58.970 --> 00:08:01.569 to retrieve knowledge through quizzes and questions. 00:08:01.730 --> 00:08:04.089 Okay, the biggest mistake people make here is 00:08:04.089 --> 00:08:06.810 treating this thing like a search bar. Like Google, 00:08:06.870 --> 00:08:08.759 yeah. You have to go into it with the mindset 00:08:08.759 --> 00:08:10.540 that you're talking to a teacher who's sitting 00:08:10.540 --> 00:08:12.740 right across from you. So let's talk about the 00:08:12.740 --> 00:08:15.300 three best interaction methods, starting with 00:08:15.300 --> 00:08:18.439 number one, personalized knowledge. Right. So 00:08:18.439 --> 00:08:21.839 when the book has really complex technical jargon, 00:08:22.420 --> 00:08:26.019 you ask the AI to rephrase it. Specifically for 00:08:26.019 --> 00:08:29.220 you. Specifically for you, using an analogy that 00:08:29.220 --> 00:08:32.059 makes sense to you. You could say, explain the 00:08:32.059 --> 00:08:34.679 concept of derivatives like, I only understand 00:08:34.679 --> 00:08:36.740 professional football. Wow, that's powerful. 00:08:36.990 --> 00:08:39.450 It's personalized learning, like on demand. Exactly. 00:08:39.990 --> 00:08:42.929 Now, method two is where the real mastery happens. 00:08:43.049 --> 00:08:45.590 This is what plugs that leaky bucket. It's all 00:08:45.590 --> 00:08:48.750 about active recall methods. You have to force 00:08:48.750 --> 00:08:50.929 your brain to retrieve the information. Right. 00:08:51.110 --> 00:08:54.029 You ask the AI to become the examiner. Create 00:08:54.029 --> 00:08:57.909 a test for me, or give me a multiple choice quiz 00:08:57.909 --> 00:09:00.429 on the main arguments of chapter four. But here's 00:09:00.429 --> 00:09:02.830 the little cognitive trick. OK. You have to tell 00:09:02.830 --> 00:09:05.210 the AI not to give you the answers right away. 00:09:05.399 --> 00:09:07.980 Ah, make it wait. Make it wait for your response. 00:09:08.419 --> 00:09:11.179 Then it provides feedback, it corrects your errors, 00:09:11.399 --> 00:09:13.679 and it fills in your knowledge gaps. And that 00:09:13.679 --> 00:09:15.779 immediate feedback stops you from accidentally 00:09:15.779 --> 00:09:17.779 remembering the wrong information. Exactly. You 00:09:17.779 --> 00:09:20.159 don't cement the wrong info in your brain. OK, 00:09:20.220 --> 00:09:22.299 method three is about connecting and comparing 00:09:22.299 --> 00:09:25.940 ideas. Synthesis. Yeah, use the AI to tie the 00:09:25.940 --> 00:09:28.679 book structure together. You could ask, how does 00:09:28.679 --> 00:09:30.779 the theory in the first chapter directly support 00:09:30.779 --> 00:09:33.159 the conclusion in the final chapter? That's a 00:09:33.159 --> 00:09:36.080 great question. Or... If the book discusses, 00:09:36.080 --> 00:09:39.779 say, five competing frameworks, ask the AI to 00:09:39.779 --> 00:09:42.139 create a comparison table. Oh, with pros and 00:09:42.139 --> 00:09:45.240 cons. Pros and cons for each one. This gives 00:09:45.240 --> 00:09:48.620 you a really deep, complete view of the whole 00:09:48.620 --> 00:09:51.360 book, not just the details. So this system can 00:09:51.360 --> 00:09:53.460 obviously help a lot of different people. How 00:09:53.460 --> 00:09:56.039 does this help professionals achieve efficiency? 00:09:56.379 --> 00:09:59.080 with business books. By extracting actionable 00:09:59.080 --> 00:10:01.860 frameworks and creating specific job related 00:10:01.860 --> 00:10:04.559 action plans. So for professionals reading business 00:10:04.559 --> 00:10:07.139 books, the AI is like a framework extractor. 00:10:07.230 --> 00:10:09.669 It's fantastic for that. They can ask it to distill 00:10:09.669 --> 00:10:12.350 the key strategies from a really dense book and 00:10:12.350 --> 00:10:14.529 then immediately create an action plan. Or a 00:10:14.529 --> 00:10:16.590 to -do list. A to -do list to apply those theories 00:10:16.590 --> 00:10:18.789 to their job the very next morning. It saves 00:10:18.789 --> 00:10:21.669 so much time moving straight from theory to application. 00:10:22.049 --> 00:10:24.409 And for students, I mean, it must remove so much 00:10:24.409 --> 00:10:27.750 of the anxiety of these huge overwhelming textbooks. 00:10:28.059 --> 00:10:31.059 Absolutely. They can turn a really dry subject 00:10:31.059 --> 00:10:36.559 into a kind of gamified quiz or get instant simplified 00:10:36.559 --> 00:10:38.860 explanations of definitions they missed in a 00:10:38.860 --> 00:10:41.679 lecture. And what about just book lovers or researchers? 00:10:41.980 --> 00:10:44.759 For them, this digitizes their entire physical 00:10:44.759 --> 00:10:47.980 bookshelf into a searchable library. So you can 00:10:47.980 --> 00:10:51.019 find an old quote in seconds. In seconds. And 00:10:51.019 --> 00:10:54.700 you can even ask the AI to connect the dots between 00:10:54.700 --> 00:10:57.259 ideas from different authors across your entire 00:10:57.259 --> 00:10:59.740 library. And the learning science here is solid. 00:10:59.860 --> 00:11:02.200 We've talked about active recall, the brain workout. 00:11:02.750 --> 00:11:05.610 But the system also automates spaced repetition. 00:11:05.929 --> 00:11:08.029 That's a huge one. You don't have to reread the 00:11:08.029 --> 00:11:09.809 whole book every six months. You can just ask 00:11:09.809 --> 00:11:12.350 the AI for a quick five -minute refresher quiz 00:11:12.350 --> 00:11:14.990 on content you studied months ago. And that keeps 00:11:14.990 --> 00:11:17.129 the knowledge fresh. It keeps it fresh and prevents 00:11:17.129 --> 00:11:19.970 that slow memory leak. Let's talk about safeguards. 00:11:20.309 --> 00:11:23.370 This tool is powerful, but AI isn't perfect. 00:11:23.830 --> 00:11:25.870 We have to take steps to avoid hallucination. 00:11:25.970 --> 00:11:29.090 This is so critical. The number one rule is to 00:11:29.090 --> 00:11:31.690 be strict with the source. In your prompt, you 00:11:31.690 --> 00:11:35.409 have to explicitly tell the AI, only use information 00:11:35.409 --> 00:11:38.529 from the PDF I provided. Do not use outside knowledge 00:11:38.529 --> 00:11:40.750 from the internet. And that quality issue we 00:11:40.750 --> 00:11:42.970 talked about earlier comes back here. Quality 00:11:42.970 --> 00:11:45.850 in, quality out. It does. If your scan is blurry 00:11:45.850 --> 00:11:48.490 or if words are cut off near the spine because 00:11:48.490 --> 00:11:52.639 the OCR failed, the AI has to guess. And guessing 00:11:52.639 --> 00:11:55.559 leads to errors. Inevitable errors. So you always 00:11:55.559 --> 00:11:57.820 have to do that verification check. If you can 00:11:57.820 --> 00:12:00.259 search for a specific word in the PDF, the AI 00:12:00.259 --> 00:12:03.080 can read it accurately. If you can't, you have 00:12:03.080 --> 00:12:05.919 to re -scan. Let's touch on cost. There are a 00:12:05.919 --> 00:12:07.899 couple of paths you can take. Yeah, there's the 00:12:07.899 --> 00:12:10.179 zero dollar path. Which involves a lot of slow 00:12:10.179 --> 00:12:13.799 smartphone scanning. And a free, basic LLM interface, 00:12:14.019 --> 00:12:16.200 which will probably have limited file uploads 00:12:16.200 --> 00:12:18.480 and a smaller context window. And then there's 00:12:18.480 --> 00:12:20.820 the professional path. The pro path is about 00:12:20.820 --> 00:12:23.820 speed and security. You invest in a high -speed 00:12:23.820 --> 00:12:26.299 scanner and pair it with a professional subscription, 00:12:26.799 --> 00:12:30.940 like Microsoft 365 or Copilot Pro. The principles 00:12:30.940 --> 00:12:33.360 matter more than the brand name. And if the files 00:12:33.360 --> 00:12:36.460 are sensitive, like proprietary research, security 00:12:36.460 --> 00:12:39.659 is everything. Absolutely. Paying for an enterprise 00:12:39.659 --> 00:12:41.879 -grade subscription ensures your books and your 00:12:41.879 --> 00:12:44.080 conversations are private, they're protected. 00:12:44.240 --> 00:12:46.460 And the files aren't used to train the general 00:12:46.460 --> 00:12:49.399 model. Exactly. So you can learn about sensitive 00:12:49.399 --> 00:12:52.179 topics with complete peace of mind. Okay, let's 00:12:52.179 --> 00:12:55.879 recap the big idea here. We started with this 00:12:55.879 --> 00:12:59.059 real frustration of forgetting valuable knowledge 00:12:59.059 --> 00:13:01.940 right after you read it. We learned how to shatter 00:13:01.940 --> 00:13:05.730 that passive, one -way reading model. by using 00:13:05.730 --> 00:13:08.909 technology to create this dynamic, personalized 00:13:08.909 --> 00:13:12.549 AI tutor. A searchable, interactive second brain. 00:13:12.710 --> 00:13:14.730 Built directly from your own physical library. 00:13:14.950 --> 00:13:17.649 This transformation, it bridges the entire gap. 00:13:17.870 --> 00:13:21.090 It moves you from just absorbing a page to actively 00:13:21.090 --> 00:13:24.450 mastering a subject. It leverages the huge power 00:13:24.450 --> 00:13:27.269 of AI, but it still respects the source of the 00:13:27.269 --> 00:13:29.289 knowledge, which is the wisdom in that physical 00:13:29.289 --> 00:13:31.289 book. So what does this all mean for you listening? 00:13:31.649 --> 00:13:33.409 Here's our final provocative thought for you 00:13:33.409 --> 00:13:35.309 to chew on. now that you know how to create this 00:13:35.309 --> 00:13:38.690 conversational teacher. What specific complex 00:13:38.690 --> 00:13:40.870 concept from a book you abandoned should you 00:13:40.870 --> 00:13:43.649 ask your new teacher about first? Don't let the 00:13:43.649 --> 00:13:46.809 wisdom on your shelf just gather dust. Grab that 00:13:46.809 --> 00:13:49.590 book, start the first scan, and begin the conversation 00:13:49.590 --> 00:13:51.909 today. Your future self, the one who actually 00:13:51.909 --> 00:13:54.129 retains and applies everything they read, is 00:13:54.129 --> 00:13:54.429 waiting.