WEBVTT 00:00:00.000 --> 00:00:03.000 You know, most people who try to learn a new 00:00:03.000 --> 00:00:07.200 complex skill, let's say a new programming language, 00:00:07.419 --> 00:00:10.839 or advanced data analysis, they'll spend months 00:00:10.839 --> 00:00:14.339 on it, maybe even a year, and, well, they ultimately 00:00:14.339 --> 00:00:17.120 fail. It's the standard cycle. You get all excited, 00:00:17.320 --> 00:00:19.920 you buy that massive online course, and then 00:00:19.920 --> 00:00:21.739 two weeks later you're just exhausted. And you 00:00:21.739 --> 00:00:23.879 quit. You quit. The insight from our sources 00:00:23.879 --> 00:00:27.000 this week suggests that the secret to, you know, 00:00:27.199 --> 00:00:30.219 accelerating that learning by three times, it 00:00:30.219 --> 00:00:33.299 isn't studying harder at all. It's focusing with, 00:00:33.299 --> 00:00:35.979 like, laser precision on the preparation. The 00:00:35.979 --> 00:00:38.700 setup phase. Exactly. The work that's done before 00:00:38.700 --> 00:00:41.039 you even open chapter one. That's the key. And 00:00:41.039 --> 00:00:43.119 we all feel that squeeze. I mean, the world is 00:00:43.119 --> 00:00:45.280 moving so fast. New software, new regulatory 00:00:45.280 --> 00:00:47.600 environments, new languages you need just to 00:00:47.600 --> 00:00:49.899 keep pace. And that traditional approach of buying 00:00:49.899 --> 00:00:52.179 the 20 -hour course and trying to memorize every 00:00:51.979 --> 00:00:54.920 little detail, it's obsolete. It's designed to 00:00:54.920 --> 00:00:57.280 overwhelm you. It is. It's fundamentally exhausting. 00:00:57.399 --> 00:00:59.399 It just leads to information overload because 00:00:59.399 --> 00:01:01.840 you're trying to absorb everything. So in this 00:01:01.840 --> 00:01:03.560 deep dive, we're looking at a different way, 00:01:03.880 --> 00:01:06.319 a systematic structure. A very precise one, yeah. 00:01:06.640 --> 00:01:09.739 It replaces those months of ineffective study 00:01:09.739 --> 00:01:12.939 with just weeks of targeted action. And we're 00:01:12.939 --> 00:01:15.180 going to leverage the power of free AI tools. 00:01:15.500 --> 00:01:18.560 And today, in part one, we're focusing entirely 00:01:18.560 --> 00:01:22.519 on that. that hidden work of preparation. Exactly. 00:01:22.739 --> 00:01:25.260 Setting the right goals, finding the right materials, 00:01:26.000 --> 00:01:28.019 and structurally priming your brain to learn 00:01:28.019 --> 00:01:30.780 fast. Okay, so let's unpack this. We have to 00:01:30.780 --> 00:01:33.120 start with the core philosophy because it seems 00:01:33.120 --> 00:01:35.859 like we have to fundamentally change how we even 00:01:35.859 --> 00:01:38.480 view learning itself. It's a huge mindset shift. 00:01:39.140 --> 00:01:41.159 The sources use this great analogy. They call 00:01:41.159 --> 00:01:43.500 it the jigsaw puzzle method. Right. Think about 00:01:43.500 --> 00:01:45.760 it. If you're tackling a thousand piece puzzle, 00:01:45.879 --> 00:01:49.060 You wouldn't just grab a random piece and spend 00:01:49.060 --> 00:01:51.099 10 minutes memorizing its tiny blue pattern. 00:01:51.219 --> 00:01:53.560 No, that's madness. You'd go crazy. Yeah. You 00:01:53.560 --> 00:01:56.260 instinctively follow three steps. First, you 00:01:56.260 --> 00:01:57.859 look at the picture on the box. You have to see 00:01:57.859 --> 00:02:01.400 the final result. Two, you sort the pieces. You 00:02:01.400 --> 00:02:03.879 find all the edges and the corners. Right, the 00:02:03.879 --> 00:02:06.659 important stuff. And three, you build the frame 00:02:06.659 --> 00:02:09.319 first. And traditional learning is so often the 00:02:09.319 --> 00:02:11.620 exact opposite of that. It just hands us random 00:02:11.620 --> 00:02:15.300 pieces. A date and history, a specific formula, 00:02:15.759 --> 00:02:18.919 an isolated fact. With no context. Zero context. 00:02:19.039 --> 00:02:21.139 It tells us to memorize them without ever showing 00:02:21.139 --> 00:02:23.479 us the picture on the box. And without that big 00:02:23.479 --> 00:02:27.000 picture, we spend, what, 90 % of our energy just 00:02:27.000 --> 00:02:29.800 trying to figure out where that one piece fits. 00:02:30.379 --> 00:02:32.500 Yes. Instead of focusing on the actual content, 00:02:32.900 --> 00:02:36.659 this system flips that entirely. We use AI. to 00:02:36.659 --> 00:02:40.300 build that frame, that big picture, almost instantly. 00:02:40.560 --> 00:02:42.219 So filling in the middle becomes more like a 00:02:42.219 --> 00:02:44.919 targeted search, like a game. Exactly. That frame 00:02:44.919 --> 00:02:46.919 holds everything together. It stops the information 00:02:46.919 --> 00:02:49.659 from just slipping out of your memory. So if 00:02:49.659 --> 00:02:52.099 traditional learning is all about the sheer volume 00:02:52.099 --> 00:02:56.180 of input, hours watched, pages read, what do 00:02:56.180 --> 00:02:58.539 our sources say is the single biggest failure 00:02:58.539 --> 00:03:00.580 point? It's the absence of a tangible output 00:03:00.580 --> 00:03:02.729 goal. That's what causes all the unnecessary 00:03:02.729 --> 00:03:05.509 study and ultimately the failure. That lack of 00:03:05.509 --> 00:03:08.069 focus. That leads directly to the biggest mistake 00:03:08.069 --> 00:03:12.229 most of us make setting these fuzzy goals. Things 00:03:12.229 --> 00:03:15.009 like, I want to learn graphic design or I want 00:03:15.009 --> 00:03:17.389 to get better at Python. They sound good. They 00:03:17.389 --> 00:03:20.629 sound aspirational, but they're traps. Why are 00:03:20.629 --> 00:03:23.710 they traps? Because learning Python never actually 00:03:23.710 --> 00:03:26.949 ends. It's infinite. And because the goal isn't 00:03:26.949 --> 00:03:29.960 clear, You will inevitably waste days studying 00:03:29.960 --> 00:03:32.460 things you just don't need. Like some niche Python 00:03:32.460 --> 00:03:34.460 library you'll never use. Right, because you 00:03:34.460 --> 00:03:36.360 don't know what the final project is even supposed 00:03:36.360 --> 00:03:38.360 to look like. So we have to switch our energy 00:03:38.360 --> 00:03:41.120 away from those input goals, like I'll watch 00:03:41.120 --> 00:03:44.800 10 hours of tutorials to concrete output goals. 00:03:45.080 --> 00:03:47.419 And the test is so simple. It's the can I show 00:03:47.419 --> 00:03:50.719 it test. You can't show a friend knowledge, but 00:03:50.719 --> 00:03:53.020 you can show them a finished product. a poster 00:03:53.020 --> 00:03:55.819 you designed, a specific spreadsheet, a published 00:03:55.819 --> 00:03:58.659 article. That product is your target. OK, let's 00:03:58.659 --> 00:04:00.240 really dissect this, because this seems to be 00:04:00.240 --> 00:04:03.020 where the time savings begin. How do you fix 00:04:03.020 --> 00:04:06.699 a vague goal? OK, so instead of, I want to learn 00:04:06.699 --> 00:04:10.199 Excel, which is a total trap, you set a finite, 00:04:10.520 --> 00:04:12.520 measurable goal. For instance. I want to create 00:04:12.520 --> 00:04:15.259 a personal budget spreadsheet that automatically 00:04:15.259 --> 00:04:18.620 calculates my monthly savings using VLOOKUP and 00:04:18.620 --> 00:04:21.709 Sumif. by next Saturday. Wow, okay. That is specific. 00:04:21.750 --> 00:04:23.990 It's incredibly specific. Because it forces you 00:04:23.990 --> 00:04:26.350 to learn exactly three functions and nothing 00:04:26.350 --> 00:04:29.129 else. You immediately cut out, what, 98 % of 00:04:29.129 --> 00:04:31.990 the Excel knowledge base? Pretty much. Or another 00:04:31.990 --> 00:04:34.769 one. Instead of, I want to understand artificial 00:04:34.769 --> 00:04:37.529 intelligence, the good goal is I want to write 00:04:37.529 --> 00:04:40.209 a 1 ,000 -word article about the history of AI 00:04:40.209 --> 00:04:43.529 and publish it on a specific platform by the 00:04:43.529 --> 00:04:46.329 end of this month. It forces a concrete deliverable. 00:04:46.449 --> 00:04:49.540 It does. But wait a minute. Doesn't that extreme 00:04:49.540 --> 00:04:51.680 specificity, doesn't that limit your creativity? 00:04:52.259 --> 00:04:54.399 Or your chance to discover related skills along 00:04:54.399 --> 00:04:56.139 the way? What if you realize you need something 00:04:56.139 --> 00:04:58.899 else? That's a great question. But the specificity 00:04:58.899 --> 00:05:01.220 is what prevents what we call prompt drift. That 00:05:01.220 --> 00:05:03.480 initial focus lets you finish something. It builds 00:05:03.480 --> 00:05:05.839 momentum. Yes. If you decide later you need to 00:05:05.839 --> 00:05:08.899 pivot, fine. You just tackle a new, specific 00:05:08.899 --> 00:05:12.819 project. The goal here is completion and a demonstrable 00:05:12.819 --> 00:05:15.740 skill, not some. Holistic infinite knowledge. 00:05:15.959 --> 00:05:18.500 And it's important for you listening to hear 00:05:18.500 --> 00:05:21.279 this. Even experts struggle with maintaining 00:05:21.279 --> 00:05:24.120 that kind of focus. Oh, absolutely. I mean, I 00:05:24.120 --> 00:05:27.100 still wrestle with prompt drift myself when I'm 00:05:27.100 --> 00:05:29.740 starting big projects. It's so easy to slip back 00:05:29.740 --> 00:05:32.220 into those, you know, fuzzy goals. Right. Yeah. 00:05:32.600 --> 00:05:34.600 If I start researching a new tool and I don't 00:05:34.600 --> 00:05:36.800 immediately tie it to the specific report I need 00:05:36.800 --> 00:05:39.360 to deliver next week, I'll spend three hours 00:05:39.360 --> 00:05:42.019 just reading general news instead. So the goal 00:05:42.019 --> 00:05:45.639 keeps you tethered. Completely. So how does having 00:05:45.639 --> 00:05:48.839 that specific output goal save the listener time, 00:05:49.040 --> 00:05:51.759 like right away? It forces you to ignore every 00:05:51.759 --> 00:05:54.160 single resource, every rabbit hole, and every 00:05:54.160 --> 00:05:56.480 tangential detail that does not directly help 00:05:56.480 --> 00:05:58.699 you reach that finish line. It's a time -saving 00:05:58.699 --> 00:06:01.379 filter. Okay, so goal locked down. We know exactly 00:06:01.379 --> 00:06:03.360 what we need to build. But even the best goal 00:06:03.360 --> 00:06:06.000 is, well, useless if we dive into a bad resource 00:06:06.000 --> 00:06:07.759 pool. And this is where the next problem starts. 00:06:08.180 --> 00:06:10.379 Searching for the right materials. This is where 00:06:10.379 --> 00:06:13.680 Google and YouTube become... dangerous. They 00:06:13.680 --> 00:06:16.160 create what we call the rabbit hole. They lead 00:06:16.160 --> 00:06:19.819 you to millions of old confusing or you know 00:06:19.819 --> 00:06:22.560 super promotional results. You can waste five 00:06:22.560 --> 00:06:25.100 or six hours just clicking links and feeling 00:06:25.100 --> 00:06:27.779 overwhelmed. So the system says we skip Google 00:06:27.779 --> 00:06:30.660 entirely. We go straight to using AI for targeted 00:06:30.660 --> 00:06:34.120 research and for this we use a tool called perplexity. 00:06:34.399 --> 00:06:37.480 And perplexity is? It's an AI tool that summarizes 00:06:37.480 --> 00:06:40.480 the entire internet for you and it provides sources 00:06:40.480 --> 00:06:43.540 and references. We're using it here to act like 00:06:43.540 --> 00:06:46.279 a smart friend who has already read every obscure 00:06:46.279 --> 00:06:48.759 forum and every review site. And our strategy 00:06:48.759 --> 00:06:52.120 here is focused on crowdsourced wisdom. Yes. 00:06:52.329 --> 00:06:54.430 We want to find out what real students recommend, 00:06:54.670 --> 00:06:57.129 not what some company is trying to sell us. So 00:06:57.129 --> 00:06:59.410 the prompt structure we use here is critical. 00:06:59.509 --> 00:07:01.810 We have to be specific about where we want the 00:07:01.810 --> 00:07:04.149 AI to look. Exactly. Not just what we want to 00:07:04.149 --> 00:07:06.509 learn. We have to tell the AI to act as an expert 00:07:06.509 --> 00:07:08.790 researcher. We don't want the marketing copy. 00:07:08.829 --> 00:07:10.610 You want the wisdom from the trenches. Right. 00:07:10.610 --> 00:07:13.389 Which means explicitly targeting specialized 00:07:13.389 --> 00:07:15.850 learner communities. Why do we need to tell it 00:07:15.850 --> 00:07:19.110 to look at, say, Reddit or specific forums? Wouldn't 00:07:19.110 --> 00:07:21.829 a general search be enough? Because the best 00:07:22.110 --> 00:07:25.930 most unbiased reviews. They usually exist outside 00:07:25.930 --> 00:07:28.930 of polished commercial websites, people on Reddit, 00:07:29.470 --> 00:07:33.250 or highly specialized forums. They are brutally 00:07:33.250 --> 00:07:35.769 honest about what works and what doesn't. We're 00:07:35.769 --> 00:07:37.870 tapping into that genuine learner experience. 00:07:38.009 --> 00:07:40.110 Yeah, that's the goal. We're asking for the 80 00:07:40.110 --> 00:07:43.069 -20 resources, the 20 % of materials that are 00:07:43.069 --> 00:07:45.269 going to give the learner 80 % of the practical 00:07:45.269 --> 00:07:48.129 results for their specific goal. Okay, so what's 00:07:48.129 --> 00:07:50.670 the prompt structure look like? It's pretty straightforward. 00:07:51.120 --> 00:07:53.819 We define our specific topic and goal. We tell 00:07:53.819 --> 00:07:56.160 it to act as an expert researcher focusing on 00:07:56.160 --> 00:07:58.500 Reddit and other learner communities. We ask 00:07:58.500 --> 00:08:01.540 for the top three 80 -20 resources. And the last 00:08:01.540 --> 00:08:03.720 part is the most important. It is. We ask for 00:08:03.720 --> 00:08:06.399 one specific negative thing for each recommendation. 00:08:07.120 --> 00:08:09.220 Why is asking for one negative thing about a 00:08:09.220 --> 00:08:11.459 course so important to the result? It establishes 00:08:11.459 --> 00:08:15.019 credibility. It establishes trust. If the AI 00:08:15.019 --> 00:08:17.740 just lists three perfect resources, you know 00:08:17.740 --> 00:08:20.300 it's just generic output. But when it includes 00:08:20.300 --> 00:08:23.319 a real critique? Right. This course is fantastic, 00:08:23.339 --> 00:08:26.439 but the instructor speaks way too fast or the 00:08:26.439 --> 00:08:29.040 examples are a little dated. That proves the 00:08:29.040 --> 00:08:32.059 results are genuine crowdsourced wisdom. So by 00:08:32.059 --> 00:08:34.500 using the structured approach, how much time 00:08:34.500 --> 00:08:36.779 are we actually saving compared to, you know, 00:08:36.919 --> 00:08:38.779 just wading through search results manually? 00:08:38.919 --> 00:08:41.179 On average, we're saving about four full hours. 00:08:41.779 --> 00:08:44.179 The AI delivers a specific YouTube playlist, 00:08:44.580 --> 00:08:47.590 a free website or a top rated book. all vetted 00:08:47.590 --> 00:08:50.190 by peers in about two minutes. Okay so we have 00:08:50.190 --> 00:08:53.090 the goal and we have the perfect crowdsourced 00:08:53.090 --> 00:08:57.149 resource and the temptation right now is enormous. 00:08:57.350 --> 00:08:59.590 The learner is just itching to start reading 00:08:59.590 --> 00:09:02.279 chapter one. And we have to fight that impulse. 00:09:02.519 --> 00:09:05.259 We have to. We need the concept of priming. Priming. 00:09:05.399 --> 00:09:06.980 Yeah, think of it like a professional painter 00:09:06.980 --> 00:09:09.720 prepping a wall. You clean it, you put on that 00:09:09.720 --> 00:09:12.179 primer coat, and that's what makes the real paint 00:09:12.179 --> 00:09:13.820 stick better. You don't just dump the finished 00:09:13.820 --> 00:09:16.679 color onto drywall. Exactly. And your brain needs 00:09:16.679 --> 00:09:19.659 a primer, too. Priming just means scanning the 00:09:19.659 --> 00:09:22.179 information to build a structural mental map 00:09:22.179 --> 00:09:24.830 before you dive into the details. This prepares 00:09:24.830 --> 00:09:27.549 your brain to categorize and hold new data more 00:09:27.549 --> 00:09:30.830 effectively. And for this step, we use a tool 00:09:30.830 --> 00:09:34.049 called Notebook LM, which is a free Google tool. 00:09:34.070 --> 00:09:36.850 Yeah, powerful one. It's designed to analyze 00:09:36.850 --> 00:09:40.190 documents you upload and create useful structures 00:09:40.190 --> 00:09:42.330 and summaries from them. It's like your structural 00:09:42.330 --> 00:09:44.990 assistant. So we upload the material we found 00:09:44.990 --> 00:09:49.019 with perplexity. That long PDF, or the transcript 00:09:49.019 --> 00:09:51.159 of a three -hour lecture, but we don't read it 00:09:51.159 --> 00:09:54.220 yet. Not yet. We just ask Notebook LM to generate 00:09:54.220 --> 00:09:56.379 the mental map. And the prompt here is surgical. 00:09:56.659 --> 00:09:59.879 Very. We ask for the five most critical concepts 00:09:59.879 --> 00:10:02.259 in the document, defined in simple one -sentence 00:10:02.259 --> 00:10:05.120 definitions, and then we also ask for the ten... 00:10:05.120 --> 00:10:07.740 most common or essential jargon words we're going 00:10:07.740 --> 00:10:10.480 to encounter. That's it. That's it. Short, fast, 00:10:10.740 --> 00:10:12.600 structural. We spent maybe five minutes reading 00:10:12.600 --> 00:10:15.080 that map. So what does the learner actually see 00:10:15.080 --> 00:10:17.840 after NotebookLM runs that prompt? They see a 00:10:17.840 --> 00:10:20.399 cheat sheet. You get five bullet points of the 00:10:20.399 --> 00:10:23.460 big ideas. So in Python, maybe the five key concepts 00:10:23.460 --> 00:10:25.980 are variables, loops, functions, data types, 00:10:26.039 --> 00:10:29.019 and classes. You read that list. Now, when you 00:10:29.019 --> 00:10:31.000 start studying for real and you see the word 00:10:31.000 --> 00:10:34.200 function or, you know, vo, uckup, Your brain 00:10:34.200 --> 00:10:37.820 just lights up. It says, hey, I saw that word 00:10:37.820 --> 00:10:39.960 on the list. This is important. It's the absolute 00:10:39.960 --> 00:10:43.100 opposite of passive reading. Right. That five 00:10:43.100 --> 00:10:46.039 -minute priming session, it just significantly 00:10:46.039 --> 00:10:48.100 improves your attention because your brain knows 00:10:48.100 --> 00:10:51.059 what to flag as important. Absolutely. The framework 00:10:51.059 --> 00:10:53.500 is in place. All right. Now, for what seems like 00:10:53.500 --> 00:10:55.419 the most counterintuitive part of this whole 00:10:55.419 --> 00:11:00.320 setup, this is where we weaponize failure. The 00:11:00.320 --> 00:11:02.960 fail -first technique. Taking a quiz before you've 00:11:02.960 --> 00:11:05.639 learned anything. It sounds genuinely terrifying. 00:11:06.220 --> 00:11:08.539 And you will fail. You might score zero percent. 00:11:08.919 --> 00:11:11.500 But that is precisely the point. How so? When 00:11:11.500 --> 00:11:13.940 your brain encounters a question of fact, a piece 00:11:13.940 --> 00:11:17.320 of jargon, and you don't know the answer, it 00:11:17.320 --> 00:11:20.139 creates this powerful neurological state. It's 00:11:20.139 --> 00:11:22.700 called a knowledge gap. A knowledge gap. Yes. 00:11:22.919 --> 00:11:25.220 And your brain hates incomplete information. 00:11:25.419 --> 00:11:27.740 It becomes curious. It shifts from just passive 00:11:27.740 --> 00:11:30.379 acceptance, just reading words, to active hunting. 00:11:30.500 --> 00:11:33.580 It's like hearing half a joke. Exactly. You truly 00:11:33.580 --> 00:11:36.220 need to hear the punchline. And that need for 00:11:36.220 --> 00:11:40.000 resolution, that's motivation. Whoa. I mean, 00:11:40.080 --> 00:11:42.379 just imagine scaling that feeling of curiosity, 00:11:42.539 --> 00:11:46.080 that specific gap, across every single new topic 00:11:46.080 --> 00:11:48.580 you approach. You're weaponizing motivation itself. 00:11:48.809 --> 00:11:52.070 That gap creates a receptive state for learning. 00:11:52.330 --> 00:11:54.970 So we use Notebook LM for this, too. We do. We 00:11:54.970 --> 00:11:57.710 ask it to create a 10 -question multiple -choice 00:11:57.710 --> 00:12:00.029 quiz based on the text we uploaded. And this 00:12:00.029 --> 00:12:02.409 is key. We hide the answers initially. So the 00:12:02.409 --> 00:12:05.240 learner takes the quiz. Yeah. They guess. They 00:12:05.240 --> 00:12:07.139 get them wrong. They feel that little pang of 00:12:07.139 --> 00:12:09.259 failure, yes. Yeah. And then they look at the 00:12:09.259 --> 00:12:11.759 correct answers. Now their brain is fully awake. 00:12:11.919 --> 00:12:13.659 So when they go back to the source material... 00:12:13.659 --> 00:12:16.220 They aren't passively reading anymore. They are 00:12:16.220 --> 00:12:18.399 actively searching for the context that fills 00:12:18.399 --> 00:12:21.860 those 10 specific gaps. And that just massively 00:12:21.860 --> 00:12:24.139 increases memory retention. How does failing 00:12:24.139 --> 00:12:26.360 that quiz at the beginning help more than, you 00:12:26.360 --> 00:12:28.860 know, succeeding on one at the end? Because the 00:12:28.860 --> 00:12:32.429 failure wakes the brain up. It shifts the learner 00:12:32.429 --> 00:12:34.889 immediately into an active information hunting 00:12:34.889 --> 00:12:38.370 mode. Success at the end just confirms your memory. 00:12:38.850 --> 00:12:41.929 Failure at the start creates the desire for memory. 00:12:43.370 --> 00:12:45.769 built the entire structural framework for learning. 00:12:45.850 --> 00:12:47.590 And we haven't even traditionally studied yet. 00:12:47.629 --> 00:12:50.090 Not a single minute of it. But we have this powerful 00:12:50.090 --> 00:12:54.090 foundation. We locked down a specific measurable 00:12:54.090 --> 00:12:57.710 output goal. We found the absolute best resources 00:12:57.710 --> 00:13:00.929 using crowdsourced wisdom from perplexity. And 00:13:00.929 --> 00:13:03.710 we primed our brain with a mental map and a pre 00:13:03.710 --> 00:13:06.450 -test using Notebook LM. And this whole setup 00:13:06.450 --> 00:13:10.700 phase, the research, the priming. It takes, what, 00:13:10.860 --> 00:13:12.879 maybe one to two hours? That's incredible. In 00:13:12.879 --> 00:13:14.340 the old way, that would have been a full week 00:13:14.340 --> 00:13:16.879 just wasted on worry, overwhelm, and bad searches. 00:13:17.639 --> 00:13:19.779 This foundation is now ready for part two. And 00:13:19.779 --> 00:13:21.480 in part two, we're going to get into the layered 00:13:21.480 --> 00:13:23.480 learning technique, how to actually consume that 00:13:23.480 --> 00:13:26.500 material efficiently, and how to use AI as your 00:13:26.500 --> 00:13:29.799 own 2347 personal tutor. It's the execution phase 00:13:29.799 --> 00:13:32.100 built entirely on the frame we created today. 00:13:32.419 --> 00:13:34.659 OK, so here's the final provocative thought for 00:13:34.659 --> 00:13:36.820 you to consider based on the material we covered. 00:13:37.149 --> 00:13:39.929 The sources suggest that the biggest cause of 00:13:39.929 --> 00:13:42.450 long -term failure isn't the difficulty of the 00:13:42.450 --> 00:13:45.610 subject itself, it's simply the lack of a tangible 00:13:45.610 --> 00:13:48.629 output goal. So think about a skill you've struggled 00:13:48.629 --> 00:13:51.509 to learn in the past. Was your goal truly something 00:13:51.509 --> 00:13:54.370 you could show someone else? Or was it just a 00:13:54.370 --> 00:13:56.629 vague wish? Start building your frame today. 00:13:56.730 --> 00:13:58.610 We invite you to join us for the next part of 00:13:58.610 --> 00:13:59.950 this deep dive. Until then.