WEBVTT 00:00:00.000 --> 00:00:04.339 The world of AI is shifting beneath our feet. 00:00:04.480 --> 00:00:07.099 It's really no longer just some distant marvel 00:00:07.099 --> 00:00:10.039 or, you know, a tool just for specialized engineers. 00:00:10.660 --> 00:00:13.660 The ability to effectively speak AI's language, 00:00:13.859 --> 00:00:16.440 what we're calling AI fluency, it's becoming 00:00:16.440 --> 00:00:18.339 essential for pretty much everyone. It's about 00:00:18.339 --> 00:00:21.399 navigating this new digital landscape. And the 00:00:21.399 --> 00:00:24.640 pace is just staggering. AI capabilities we're 00:00:24.640 --> 00:00:26.559 seeing, they're doubling roughly every seven 00:00:26.559 --> 00:00:29.579 months. I mean, think about that. What was cutting 00:00:29.579 --> 00:00:32.179 edge last year is now almost, well, standard. 00:00:33.640 --> 00:00:37.159 Leading companies like Shopify and Fiverr, they're 00:00:37.159 --> 00:00:39.299 actively transforming into AI -first businesses. 00:00:39.659 --> 00:00:42.140 It's creating a new kind of urgency and, frankly, 00:00:42.320 --> 00:00:44.439 a remarkable opportunity right at your fingertips. 00:00:44.880 --> 00:00:47.679 Welcome to the Deep Dive. You've felt that familiar, 00:00:47.859 --> 00:00:50.420 maybe slightly stinking feeling of being behind 00:00:50.420 --> 00:00:53.219 in the AI space or just overwhelmed by the sheer 00:00:53.219 --> 00:00:55.780 volume of new stuff? Yeah, it's a lot. Then this 00:00:55.780 --> 00:00:58.259 deep dive is definitely for you. We're here to 00:00:58.259 --> 00:01:01.140 show you something really crucial. The real advantage 00:01:01.140 --> 00:01:03.119 isn't about starting first. It's about having 00:01:03.119 --> 00:01:06.280 the right method, a clear map. Our mission today 00:01:06.280 --> 00:01:08.879 is pretty simple. We want to help transform you 00:01:08.879 --> 00:01:11.599 from, let's say, an AI beginner into someone 00:01:11.599 --> 00:01:14.099 who genuinely commands these powerful tools, 00:01:14.359 --> 00:01:17.379 a power user. And here's the best part, no coding 00:01:17.379 --> 00:01:20.200 needed. Yeah, exactly. We've distilled a clear 00:01:20.200 --> 00:01:22.959 roadmap for this journey. We'll start by getting 00:01:22.959 --> 00:01:24.799 aligned on the essential AI fundamentals, you 00:01:24.799 --> 00:01:27.819 know, understanding how modern AI actually operates. 00:01:28.359 --> 00:01:30.700 Then we'll dive into the multimodal revolution, 00:01:30.879 --> 00:01:33.459 which is really changing the game. Next, we'll 00:01:33.459 --> 00:01:35.579 equip you with a practical five -step roadmap. 00:01:35.739 --> 00:01:38.799 how to wisely choose and configure your AI companions, 00:01:39.340 --> 00:01:41.540 master deep research, and move confidently beyond 00:01:41.540 --> 00:01:43.799 just text. And finally, we'll really get into 00:01:43.799 --> 00:01:46.120 mastering the art of prompting, explore advanced 00:01:46.120 --> 00:01:48.939 features, talk honestly about AI's current limitations, 00:01:49.260 --> 00:01:51.640 and give you a tangible 30 -day action plan to 00:01:51.640 --> 00:01:54.400 put it all into practice. It's a full toolkit. 00:01:54.700 --> 00:01:58.000 So let's reflect for a moment on why this guide, 00:01:58.040 --> 00:02:00.480 this deliberate approach, matters so much right 00:02:00.480 --> 00:02:02.959 now. You mentioned the AI race, but then said 00:02:02.959 --> 00:02:06.409 it's not about being an early starter. That feels 00:02:06.409 --> 00:02:09.250 kind of counterintuitive to many. What exactly 00:02:09.250 --> 00:02:11.270 do you mean by that? What's interesting is that 00:02:11.270 --> 00:02:14.090 the feeling of being behind is often, well, it's 00:02:14.090 --> 00:02:16.689 misperception. Most people, even those who've 00:02:16.689 --> 00:02:18.830 kind of dabbled a bit, are still just scratching 00:02:18.830 --> 00:02:22.030 the surface. They lack a systematic way to truly 00:02:22.030 --> 00:02:25.710 leverage AI. The real race isn't about who installed 00:02:25.710 --> 00:02:29.509 the first chat bot. It's about who built a consistent, 00:02:29.810 --> 00:02:33.490 adaptable method to extract genuine value from 00:02:33.490 --> 00:02:36.240 these tools day in and day out. So the core message 00:02:36.240 --> 00:02:38.840 is a thoughtful method trumps an early start. 00:02:39.360 --> 00:02:41.389 Precisely. That's the key takeaway. OK, let's 00:02:41.389 --> 00:02:43.469 build that foundational knowledge then. Give 00:02:43.469 --> 00:02:45.449 us a shared language for what's ahead. You've 00:02:45.449 --> 00:02:48.030 used this analogy of an AI family tree. Can you 00:02:48.030 --> 00:02:50.050 quickly walk us through those key branches, not 00:02:50.050 --> 00:02:52.469 just defining them, but maybe hinting at why 00:02:52.469 --> 00:02:54.569 these distinctions are important? Absolutely. 00:02:54.909 --> 00:02:57.289 So think of artificial intelligence or AI as 00:02:57.289 --> 00:02:59.169 the broadest concept that's the trunk of the 00:02:59.169 --> 00:03:02.150 tree. It's simply machines performing tasks that 00:03:02.150 --> 00:03:04.490 usually require human intelligence, learning, 00:03:04.729 --> 00:03:07.129 reasoning, that sort of thing. Now, a huge branch 00:03:07.129 --> 00:03:10.669 off that is machine learning or ML. This is AI 00:03:10.669 --> 00:03:13.990 that learns from data without being explicitly 00:03:13.990 --> 00:03:16.129 programmed. You show it millions of examples, 00:03:16.150 --> 00:03:18.889 and it finds the patterns itself. So ML is really 00:03:18.889 --> 00:03:21.389 about pattern recognition from data. What's the 00:03:21.389 --> 00:03:24.409 next layer? Gets more complex. Yeah, deep learning. 00:03:24.590 --> 00:03:27.509 is a subset of ML. It uses these highly complex 00:03:27.509 --> 00:03:29.370 structures called artificial neural networks 00:03:29.370 --> 00:03:31.550 with many, many layers, hence the deep part. 00:03:31.590 --> 00:03:33.610 OK. This is the engine behind a lot of today's 00:03:33.610 --> 00:03:36.370 breakthroughs, from facial recognition to voice 00:03:36.370 --> 00:03:39.629 assistance. Then the branch that's truly captivating 00:03:39.629 --> 00:03:42.639 the world right now is generative AI. This doesn't 00:03:42.639 --> 00:03:44.759 just analyze, it creates entirely new content. 00:03:45.139 --> 00:03:48.979 Text, images, music, even code. And the brains 00:03:48.979 --> 00:03:51.979 of chatbots like chat GPT are large language 00:03:51.979 --> 00:03:55.599 models or LLMs. They're a type of generative 00:03:55.599 --> 00:03:59.120 AI trained on absolutely colossal amounts of 00:03:59.120 --> 00:04:02.460 text data to generate human -like language. This 00:04:02.460 --> 00:04:04.900 hierarchy matters because it tells you where 00:04:04.900 --> 00:04:07.360 the innovation is happening and why specific 00:04:07.360 --> 00:04:09.800 tools are good at certain tasks. Fascinating. 00:04:09.979 --> 00:04:12.319 And if LLMs are the brains of these chatbots, 00:04:12.419 --> 00:04:14.379 how do they actually work beneath the hood? We 00:04:14.379 --> 00:04:16.819 hear so much sci -fi sometimes. Yeah. Let's ditch 00:04:16.819 --> 00:04:19.759 the sci -fi for a sec. Modern LLMs aren't conscious 00:04:19.759 --> 00:04:23.300 beings. They're incredibly sophisticated word 00:04:23.300 --> 00:04:25.600 predictors. Word predictor. Yeah. Imagine a system 00:04:25.600 --> 00:04:28.129 trained on, like, nearly the entire internet's 00:04:28.129 --> 00:04:30.290 text. It doesn't understand concepts like we 00:04:30.290 --> 00:04:32.750 do. Instead, it builds this intricate mathematical 00:04:32.750 --> 00:04:34.870 model of the relationships between every single 00:04:34.870 --> 00:04:36.949 word and phrase. So when you type in, say, the 00:04:36.949 --> 00:04:39.870 capital of Vietnam is. The AI calculates the 00:04:39.870 --> 00:04:41.769 most statistically probable next word, which 00:04:41.769 --> 00:04:45.509 of course is Hanoi. It's a series of highly calculated 00:04:45.509 --> 00:04:47.449 predictions strung together to form coherent 00:04:47.449 --> 00:04:50.189 contextually appropriate responses. It's like 00:04:50.189 --> 00:04:53.550 predictive text on massive steroids, a superpower. 00:04:53.759 --> 00:04:56.519 So LLMs are just powerful prediction machines 00:04:56.519 --> 00:04:59.120 not understanding in a human sense. Exactly. 00:04:59.860 --> 00:05:02.720 Sophisticated pattern matching. Really sophisticated, 00:05:03.100 --> 00:05:05.459 but nothing more. That brings us to what's often 00:05:05.459 --> 00:05:08.480 called the multimodal revolution. For years, 00:05:08.759 --> 00:05:11.160 AI was essentially stuck with text. But that 00:05:11.160 --> 00:05:15.300 barrier, it seems, has just been, well, obliterated. 00:05:15.759 --> 00:05:18.300 What does multimodal truly mean for us, the everyday 00:05:18.300 --> 00:05:21.730 users? It means AI can now understand and process 00:05:21.730 --> 00:05:24.730 multiple types of data simultaneously. This is 00:05:24.730 --> 00:05:27.470 a huge shift. You can now upload a photo, an 00:05:27.470 --> 00:05:29.889 audio clip, even a video, and the AI can analyze 00:05:29.889 --> 00:05:32.410 its content. It can also generate multi -format 00:05:32.410 --> 00:05:34.550 content, maybe a poem and an image to go with 00:05:34.550 --> 00:05:37.509 it. It combines data types, giving it an Excel 00:05:37.509 --> 00:05:39.610 spreadsheet and a paragraph describing your goals, 00:05:39.850 --> 00:05:41.810 and it spits out data visualizations and a written 00:05:41.810 --> 00:05:44.589 analysis. Wow. And what's truly exciting is the 00:05:44.589 --> 00:05:46.480 seamless switching. You can start a conversation 00:05:46.480 --> 00:05:48.759 speaking, switch to typing, maybe share your 00:05:48.759 --> 00:05:51.379 screen for help, all in one continuous session. 00:05:51.680 --> 00:05:54.540 Whoa. Imagine the shoe potential for complex 00:05:54.540 --> 00:05:57.560 problem solving when an AI can effortlessly juggle 00:05:57.560 --> 00:06:00.639 all these data types simultaneously. That capability 00:06:00.639 --> 00:06:03.519 transforms everything. It truly does. Multi -modal 00:06:03.519 --> 00:06:07.759 AI turns what was once a text -bound tool into 00:06:07.759 --> 00:06:10.579 a truly versatile, intuitive digital assistant. 00:06:11.240 --> 00:06:13.339 It's almost like it's finally gained eyes and 00:06:13.339 --> 00:06:16.180 ears. The biggest leap is AI becoming a versatile, 00:06:16.579 --> 00:06:18.680 intuitive digital assistant. Precisely. That's 00:06:18.680 --> 00:06:20.199 the essence of it. All right, let's shush to 00:06:20.199 --> 00:06:22.480 the tangible steps then. We have this proven 00:06:22.480 --> 00:06:24.819 five -step roadmap to guide you from where you 00:06:24.819 --> 00:06:27.939 are now to becoming an AI power user. Let's dive 00:06:27.939 --> 00:06:31.060 into step one and step two. Okay, step one is 00:06:31.060 --> 00:06:33.000 pretty straightforward. Choose your AI companion. 00:06:33.579 --> 00:06:36.279 The landscape is crowded, sure. But for reliability 00:06:36.279 --> 00:06:38.220 and power, we're going to focus on the big three. 00:06:38.860 --> 00:06:42.360 First, there's Chat GPT by OpenAI. It excels 00:06:42.360 --> 00:06:45.279 at general conversation, creative writing, programming 00:06:45.279 --> 00:06:47.839 assistance, and complex problem solving. Its 00:06:47.839 --> 00:06:50.560 standout feature is custom GPTs, letting you 00:06:50.560 --> 00:06:52.339 create specialized bots. The current model to 00:06:52.339 --> 00:06:55.060 look for is GPT -4. Which is incredibly fast 00:06:55.060 --> 00:06:56.699 and intuitive. I've been playing with it. It 00:06:56.699 --> 00:07:00.060 really is, yeah. Next up, Claude Bianthropic. 00:07:00.350 --> 00:07:03.449 This one really shines with long documents and 00:07:03.449 --> 00:07:06.110 in -depth research. It handles nuanced language 00:07:06.110 --> 00:07:08.970 with ease. It's also a favorite for privacy -conscious 00:07:08.970 --> 00:07:11.569 users, as it doesn't train on your data by default. 00:07:12.089 --> 00:07:15.430 Big plus there. Claude's key feature is its enormous 00:07:15.430 --> 00:07:18.209 context window. It can process hundreds of pages 00:07:18.209 --> 00:07:20.870 and artifacts for building these cool mini apps 00:07:20.870 --> 00:07:23.709 right in the chat. Look for Claude 3 .5 Sonnet. 00:07:24.110 --> 00:07:26.839 And finally, Gemini by Google. Gemini is your 00:07:26.839 --> 00:07:28.740 go -to for web research and deep integration 00:07:28.740 --> 00:07:31.660 with the Google ecosystem, Gmail, Docs, Drive, 00:07:31.800 --> 00:07:33.899 all that. Right. It offers real -time Google 00:07:33.899 --> 00:07:36.100 search access and workspace app integration. 00:07:36.579 --> 00:07:39.540 Gemini 1 .5 Pro offers a massive context window 00:07:39.540 --> 00:07:42.100 and really powerful multimodal reasoning. That 00:07:42.100 --> 00:07:44.240 gives us a clear picture of the top players. 00:07:44.360 --> 00:07:46.420 And here's a quick pro tip. While the free versions 00:07:46.420 --> 00:07:49.000 are good for a taste, a paid subscription, usually 00:07:49.000 --> 00:07:51.259 around $20 a month, truly unlocks their full 00:07:51.259 --> 00:07:53.120 potential. Think of it as a small investment 00:07:53.120 --> 00:07:55.100 for a pretty significant leap in productivity. 00:07:55.810 --> 00:07:57.670 Absolutely. Couldn't agree more. And that leads 00:07:57.670 --> 00:08:00.889 directly into step two. Configure your AI tool 00:08:00.889 --> 00:08:03.870 for maximum impact. This is the step most users 00:08:03.870 --> 00:08:07.029 skip, and it's a huge oversight. Really? Yeah. 00:08:07.269 --> 00:08:10.490 Spending just, say, 15 minutes up front personalizing 00:08:10.490 --> 00:08:13.310 your AI will save you hours of editing down the 00:08:13.310 --> 00:08:16.329 line. It's like properly onboarding a new, highly 00:08:16.329 --> 00:08:18.509 intelligent assistant, you know? OK. So how do 00:08:18.509 --> 00:08:20.449 we configure them effectively? Let's start with 00:08:20.449 --> 00:08:22.769 Chat GPT. What do we do there? For Chat GPT, 00:08:22.829 --> 00:08:25.589 first thing. Always manually select the most 00:08:25.589 --> 00:08:28.529 powerful model like GPT -4 .0 from the drop -down 00:08:28.529 --> 00:08:30.709 menu. Don't just rely on the default. Got it. 00:08:30.970 --> 00:08:33.409 Then, for privacy, this is important, go to settings, 00:08:33.870 --> 00:08:36.509 then data controls, and turn off, improve the 00:08:36.509 --> 00:08:38.110 model for everyone, crucial if you're dealing 00:08:38.110 --> 00:08:41.009 with sensitive work, and personalize it with 00:08:41.009 --> 00:08:43.590 custom instructions. In field one, describe who 00:08:43.590 --> 00:08:46.159 you are. your role, your goals for using AI. 00:08:46.559 --> 00:08:48.980 In field two, specify how you want the AI to 00:08:48.980 --> 00:08:52.320 respond, your preferred tone, format, any specific 00:08:52.320 --> 00:08:54.519 rules like always explain technical terms simply. 00:08:54.779 --> 00:08:56.820 That's a really clever way to tailor its responses. 00:08:56.960 --> 00:08:59.480 What about configuring Claude and Gemini, a similar 00:08:59.480 --> 00:09:02.720 process? Kind of similar, yeah. For Claude, customize 00:09:02.720 --> 00:09:05.419 your profile and settings to help it tailor responses, 00:09:06.039 --> 00:09:09.279 much like custom instructions. Also, definitely 00:09:09.279 --> 00:09:11.120 explore the artifacts menu. It's pretty unique 00:09:11.120 --> 00:09:13.559 for those interactive components. And always 00:09:13.559 --> 00:09:16.179 review your privacy settings there too. For Gemini, 00:09:16.679 --> 00:09:18.679 manage your activity. You can turn off history 00:09:18.679 --> 00:09:21.000 saving if privacy is critical, although keeping 00:09:21.000 --> 00:09:24.019 it on helps you revisit old ideas. And definitely 00:09:24.019 --> 00:09:26.519 activate its extensions for Google Workspace, 00:09:26.759 --> 00:09:29.460 Maps, and Flights. That gives it direct access 00:09:29.460 --> 00:09:32.019 to your emails, docs, et cetera, which is super 00:09:32.019 --> 00:09:34.460 powerful. Why does all this configuration matter? 00:09:34.960 --> 00:09:37.379 A well -configured AI delivers responses that 00:09:37.379 --> 00:09:40.139 feel tailor -made. Saving you just countless 00:09:40.139 --> 00:09:42.139 hours of refinement, it feels like your assistant. 00:09:42.399 --> 00:09:44.460 The key to configuration, personalize it like 00:09:44.460 --> 00:09:46.600 your own smart assistant. Exactly. Make it yours. 00:09:47.220 --> 00:09:50.139 It pays off big time. Sponsor. We're moving swiftly 00:09:50.139 --> 00:09:52.519 through our roadmap to becoming an AI power user. 00:09:52.639 --> 00:09:54.539 We've picked our tool, configured it thoughtfully. 00:09:54.919 --> 00:09:57.860 Now we move into genuinely impactful tasks. Let's 00:09:57.860 --> 00:10:00.940 delve into step three and four. Right. Step three 00:10:00.940 --> 00:10:04.120 is all about mastering deep research. This skill 00:10:04.120 --> 00:10:06.899 alone can just eliminate hours of manual work. 00:10:07.379 --> 00:10:09.659 It's incredibly valuable for students, professionals 00:10:09.659 --> 00:10:12.299 needing market analysis, or really anyone who 00:10:12.299 --> 00:10:14.740 needs a comprehensive overview of a new subject 00:10:14.740 --> 00:10:17.740 quickly and reliably. Now, to get exceptional 00:10:17.740 --> 00:10:20.299 results, first you got to find a clear scope. 00:10:20.679 --> 00:10:22.759 Avoid those vague prompts. Instead of, tell me 00:10:22.759 --> 00:10:25.610 about marketing, try something like... Generate 00:10:25.610 --> 00:10:27.830 a detailed analysis report on the most affected 00:10:27.830 --> 00:10:30.389 digital marketing strategies for the FMCG industry 00:10:30.389 --> 00:10:34.149 in Southeast Asia for 2024 -2025 with a focus 00:10:34.149 --> 00:10:36.289 on TikTok's impact. See the difference. Yeah, 00:10:36.429 --> 00:10:38.830 that level of specificity clearly makes a huge 00:10:38.830 --> 00:10:40.769 difference. What else helps get good research 00:10:40.769 --> 00:10:43.710 results? Second, request a specific format. Tell 00:10:43.710 --> 00:10:45.929 the AI exactly how to structure the information. 00:10:46.210 --> 00:10:48.450 Use an executive summary, key findings, SWOT 00:10:48.450 --> 00:10:50.509 analysis, and actionable recommendations. This 00:10:50.509 --> 00:10:52.090 makes the output immediately usable, not just 00:10:52.090 --> 00:10:54.539 a wall of text. Third, and this is critical, 00:10:54.860 --> 00:10:57.500 demand sources and data. This forces the AI to 00:10:57.500 --> 00:10:59.440 cite credible sources, think McKinsey, Forrester, 00:10:59.840 --> 00:11:01.919 academic papers, which drastically reduces those 00:11:01.919 --> 00:11:04.039 annoying hallucinations where it just makes stuff 00:11:04.039 --> 00:11:06.440 up. Right. Got to avoid those. Definitely. So 00:11:06.440 --> 00:11:09.580 a strong prompt here isn't, what is climate change? 00:11:10.279 --> 00:11:13.279 It's more like, Draft a 2 ,000 -word research 00:11:13.279 --> 00:11:16.279 paper on climate change's impact on global agricultural 00:11:16.279 --> 00:11:19.179 supply chains, focusing on risks, opportunities, 00:11:19.700 --> 00:11:22.019 tech solutions, with specific case studies from 00:11:22.019 --> 00:11:25.679 Brazil and Vietnam citing all sources. That's 00:11:25.679 --> 00:11:28.480 how you get rigorous, trustworthy research output. 00:11:28.700 --> 00:11:32.120 That's a fantastic, practical application. Okay, 00:11:32.279 --> 00:11:35.059 now step four. Go Beyond Text with multimodal 00:11:35.059 --> 00:11:37.320 features. We touched on this earlier, but how 00:11:37.320 --> 00:11:40.059 do we really leverage it for our daily tasks? 00:11:40.200 --> 00:11:42.360 Yeah, this is where the modern power user really 00:11:42.360 --> 00:11:44.740 stands out. They don't just type. They use every 00:11:44.740 --> 00:11:47.159 available input method. Take voice mode, for 00:11:47.159 --> 00:11:49.100 instance. It's perfect for brainstorming ideas 00:11:49.100 --> 00:11:50.919 while you're walking or driving, you know, hands 00:11:50.919 --> 00:11:53.200 -free. Sure. Or just for articulating complex, 00:11:53.200 --> 00:11:55.580 nuanced ideas. Sometimes it feels more natural 00:11:55.580 --> 00:11:57.940 than typing it all out. Then there's camera and 00:11:57.940 --> 00:12:00.279 screen sharing. You can snap a photo of a complex 00:12:00.279 --> 00:12:03.320 diagram, a code error on your screen, maybe a 00:12:03.320 --> 00:12:05.659 tricky math formula from a textbook, and ask 00:12:05.659 --> 00:12:08.759 for an explanation or a solution. Or share your 00:12:08.759 --> 00:12:11.059 screen to have the AI guide you step by step 00:12:11.059 --> 00:12:13.460 through new software or help you debug a website 00:12:13.460 --> 00:12:16.159 visually. Imagine struggling with assembling 00:12:16.159 --> 00:12:18.360 some flat pack furniture. Been there. Right. 00:12:18.460 --> 00:12:19.980 Take a photo of the parts in the instruction 00:12:19.980 --> 00:12:22.620 page and ask, OK, what should my next step be? 00:12:23.159 --> 00:12:25.740 The AI becomes your visual guide. That sounds 00:12:25.740 --> 00:12:28.139 incredibly helpful, especially for visual problems. 00:12:28.440 --> 00:12:31.539 What about uploading files? File uploads are 00:12:31.539 --> 00:12:34.720 transformative. Seriously. Upload a 100 -page 00:12:34.720 --> 00:12:37.860 contract PDF and ask, summarize the key terms 00:12:37.860 --> 00:12:40.539 and identify any potential risks for Part A. 00:12:40.799 --> 00:12:43.279 Done. Amazing. Or process an Excel file with 00:12:43.279 --> 00:12:45.600 sales data. Analyze the steps. Identify the top 00:12:45.600 --> 00:12:48.059 -selling products by quarter and create a bar 00:12:48.059 --> 00:12:51.120 chart, illustrating the trend. It just does it. 00:12:51.399 --> 00:12:53.320 You can even extract info from a picture of a 00:12:53.320 --> 00:12:55.740 business card. And for those who are even slightly 00:12:55.740 --> 00:12:58.419 code curious, there's code execution. You provide 00:12:58.419 --> 00:13:00.980 a data set, then simply ask the AI to write and 00:13:00.980 --> 00:13:03.639 run Python code to generate visualizations like 00:13:03.639 --> 00:13:05.580 heat maps or charts. So you don't even need to 00:13:05.580 --> 00:13:08.600 code yourself? No. It lets you quickly test algorithmic 00:13:08.600 --> 00:13:10.659 ideas without even opening your own programming 00:13:10.659 --> 00:13:13.360 environment. The AI handles the coding part. 00:13:13.549 --> 00:13:16.529 a real -world example. Upload your company's 00:13:16.529 --> 00:13:19.669 quarterly financial report PDF and ask for a 00:13:19.669 --> 00:13:21.610 line chart of revenue and profit over the months, 00:13:21.929 --> 00:13:24.110 plus maybe a five -bullet summary of the highlights. 00:13:24.710 --> 00:13:27.149 It's truly like having this highly capable digital 00:13:27.149 --> 00:13:30.330 intern who also codes. So leverage voice, camera, 00:13:30.450 --> 00:13:33.450 and files to make AI a visual, hands -on partner. 00:13:33.669 --> 00:13:35.820 Exactly. Make it your digital copilot. Don't 00:13:35.820 --> 00:13:37.980 just stick to text. OK, we've arrived at step 00:13:37.980 --> 00:13:40.860 five in our roadmap. Master the art of prompting. 00:13:41.120 --> 00:13:42.840 From everything we've seen, this truly feels 00:13:42.840 --> 00:13:45.659 like the dividing line between, you know, casual 00:13:45.659 --> 00:13:48.120 AI users and the real expert users. It's where 00:13:48.120 --> 00:13:50.759 you unlock its true potential. It absolutely 00:13:50.759 --> 00:13:53.259 is. Great prompts lead to great results. Generic 00:13:53.259 --> 00:13:56.259 prompts. Well, they lead to generic, often pretty 00:13:56.259 --> 00:13:58.899 useless output. Let's start with the fundamentals. 00:13:59.759 --> 00:14:02.500 The number one golden rule. Always add context. 00:14:02.679 --> 00:14:05.360 Context is everything. It gives the AI the essential 00:14:05.360 --> 00:14:08.100 constraints it needs to do good work. Contrast 00:14:08.100 --> 00:14:10.480 a bad prompt, like write me a marketing email 00:14:10.480 --> 00:14:12.440 with a good one. Draft a marketing email for 00:14:12.440 --> 00:14:15.480 a new organic bottled cold brew coffee. The target 00:14:15.480 --> 00:14:17.919 audience is health conscious office workers aged 00:14:17.919 --> 00:14:20.820 25, 40 who value convenience. The tone should 00:14:20.820 --> 00:14:23.399 be energetic, professional, yet friendly. And 00:14:23.399 --> 00:14:25.659 with a clear call to action to visit our online 00:14:25.659 --> 00:14:28.879 store by Friday for a 15 % discount code. That 00:14:28.879 --> 00:14:31.629 level of detail, it transforms the output. That 00:14:31.629 --> 00:14:33.409 makes perfect sense. The more specific you are, 00:14:33.490 --> 00:14:35.870 the more tailored the AI's response can be. What 00:14:35.870 --> 00:14:38.190 else is key for just basic, solid prompting? 00:14:38.470 --> 00:14:42.750 OK, next. Ask for more than you need. Your human 00:14:42.750 --> 00:14:45.009 brain is excellent at filtering the best options 00:14:45.009 --> 00:14:47.450 from a longer list. So instead of asking for, 00:14:47.450 --> 00:14:50.870 say, five blog title ideas, try this. Generate 00:14:50.870 --> 00:14:53.850 30 diverse blog title ideas for an article about 00:14:53.850 --> 00:14:56.429 the benefits of reading every day. Include question 00:14:56.429 --> 00:14:59.190 -based titles, list -based titles, curiosity 00:14:59.190 --> 00:15:02.289 -driven ones, and direct benefit formats. You'll 00:15:02.289 --> 00:15:04.470 get a much wider variety and probably discover 00:15:04.470 --> 00:15:07.110 some unexpected gems in there. Good tip. Filter 00:15:07.110 --> 00:15:11.029 later. Exactly. And for iteration, use the branching 00:15:11.029 --> 00:15:13.889 feature. All the major platforms let you easily 00:15:13.889 --> 00:15:16.450 edit a previous prompt and then generate a new 00:15:16.450 --> 00:15:18.860 response from that point. This creates a branch 00:15:18.860 --> 00:15:21.360 in the conversation history. It lets you explore 00:15:21.360 --> 00:15:23.519 different directions or refine an idea without 00:15:23.519 --> 00:15:25.980 losing your original thought. It's really powerful 00:15:25.980 --> 00:15:28.320 for dialing things in. Those are fantastic basics. 00:15:28.539 --> 00:15:31.120 Really solid foundation. Now, for those ready 00:15:31.120 --> 00:15:33.019 to push the boundaries a bit, what are the advanced 00:15:33.019 --> 00:15:35.200 prompting techniques they should be trying? Alright, 00:15:35.399 --> 00:15:37.700 let's get into advanced prompting. First up, 00:15:37.899 --> 00:15:40.110 few -shot prompting. This is where you provide 00:15:40.110 --> 00:15:42.789 the AI with a few examples of the exact format 00:15:42.789 --> 00:15:45.409 or style you want. Say you need to convert messy 00:15:45.409 --> 00:15:48.129 interview notes into a standardized summary format. 00:15:48.710 --> 00:15:51.269 Give the AI two complete examples of notes converted 00:15:51.269 --> 00:15:54.110 into your desired summary output. Then paste 00:15:54.110 --> 00:15:56.490 your new messy notes and say, now, process the 00:15:56.490 --> 00:15:58.789 following notes in this exact style and format. 00:15:59.149 --> 00:16:01.190 It learns from your examples almost instantly. 00:16:01.289 --> 00:16:04.269 It's great for consistency. Ah, teaching by example, 00:16:04.529 --> 00:16:07.909 clever. Exactly. Next, problem decomposition. 00:16:08.610 --> 00:16:11.169 Large, complex tasks can kind of overwhelm the 00:16:11.169 --> 00:16:13.590 AI sometimes. So break them down into smaller, 00:16:13.850 --> 00:16:15.889 manageable steps. Instead of just asking, help 00:16:15.889 --> 00:16:18.070 me plan a YouTube channel launch, which is huge, 00:16:18.210 --> 00:16:20.789 you could prompt it sequentially. First, brainstorm 00:16:20.789 --> 00:16:23.110 five unique channel concepts based on your interests. 00:16:23.409 --> 00:16:25.370 Once I pick one, list the first 10 potential 00:16:25.370 --> 00:16:27.769 video ideas. Next, advise on essential recording 00:16:27.769 --> 00:16:29.970 equipment under a $500 budget. Finally, help 00:16:29.970 --> 00:16:31.470 me outline and write a sample script for the 00:16:31.470 --> 00:16:33.990 very first video. You guide it step by step. 00:16:34.230 --> 00:16:35.870 That makes total sense, breaking it down like 00:16:35.870 --> 00:16:39.450 building blocks. Much more manageable. What other 00:16:39.450 --> 00:16:42.350 advanced methods are there? Okay, the self -criticism 00:16:42.350 --> 00:16:45.769 method is incredibly clever and maybe a bit counterintuitive. 00:16:46.350 --> 00:16:49.519 After the AI gives you a response, ask it to 00:16:49.519 --> 00:16:51.940 evaluate its own answer. Ask the AI to critique 00:16:51.940 --> 00:16:55.059 itself. Yep. Prompt it something like, review 00:16:55.059 --> 00:16:58.299 your response above. Now act as a demanding expert 00:16:58.299 --> 00:17:01.159 in this field and critically point out any weaknesses, 00:17:01.759 --> 00:17:03.980 flawed assumptions, or aspects that could be 00:17:03.980 --> 00:17:06.680 significantly improved. Then provide a better 00:17:06.680 --> 00:17:09.839 second version based on that critique. This often 00:17:09.839 --> 00:17:12.420 triggers significantly deeper reasoning and a 00:17:12.420 --> 00:17:15.180 much better final output. Then there's emotion 00:17:15.180 --> 00:17:18.069 prompting. Some research suggests, and anecdotally 00:17:18.069 --> 00:17:20.430 it seems to work, that adding phrases like, this 00:17:20.430 --> 00:17:23.250 is extremely important for my career, or I need 00:17:23.250 --> 00:17:25.289 your most thoughtful, insightful, and high quality 00:17:25.289 --> 00:17:28.490 answer for this, can subtly nudge the AI to produce 00:17:28.490 --> 00:17:30.730 a better response. Worth trying. Interesting 00:17:30.730 --> 00:17:33.069 psychological trick for the AI. Kind of seems 00:17:33.069 --> 00:17:35.650 that way. Role prompting is also really powerful. 00:17:35.970 --> 00:17:38.650 You assign the AI a specific persona. You are 00:17:38.650 --> 00:17:41.309 a personal finance advisor with 20 years of experience 00:17:41.309 --> 00:17:44.589 specializing in retirement planning. Or... Act 00:17:44.589 --> 00:17:47.210 as a seasoned Hollywood screenwriter known for 00:17:47.210 --> 00:17:50.190 witty dialogue. It adopts that specific knowledge 00:17:50.190 --> 00:17:54.470 base and tone. And finally, one I love, reverse 00:17:54.470 --> 00:17:56.829 engineering. If you find a really great piece 00:17:56.829 --> 00:17:59.049 of AI generated text somewhere online, paste 00:17:59.049 --> 00:18:01.809 it into your AI tool and ask what kind of detailed 00:18:01.809 --> 00:18:03.829 prompt would likely generate a piece of text 00:18:03.829 --> 00:18:06.309 with this specific style, structure, tone, and 00:18:06.309 --> 00:18:08.670 quality. It's a fantastic way to learn how to 00:18:08.670 --> 00:18:11.609 craft better prompts by seeing what works. Beat. 00:18:11.869 --> 00:18:14.549 You know, I still wrestle with prompt drift myself 00:18:14.549 --> 00:18:16.849 sometimes, especially on those really complex 00:18:16.849 --> 00:18:19.170 multi -step tasks where the AI kind of gets off 00:18:19.170 --> 00:18:21.970 track midway through. It's definitely a journey, 00:18:22.089 --> 00:18:24.309 not a destination for sure. Mastering prompting 00:18:24.309 --> 00:18:26.630 takes practice. So the single most impactful 00:18:26.630 --> 00:18:28.829 thing we can do for better prompting, always 00:18:28.829 --> 00:18:32.529 provide clear, detailed context. Yes, absolutely. 00:18:32.609 --> 00:18:34.069 Treat it like you're explaining something to 00:18:34.069 --> 00:18:36.650 a brand new intern. Assume nothing, explain everything 00:18:36.650 --> 00:18:39.329 clearly. Context is king. As we push these AI 00:18:39.329 --> 00:18:41.960 capabilities further, it's equally crucial to 00:18:41.960 --> 00:18:44.559 understand its boundaries, right? Let's talk 00:18:44.559 --> 00:18:47.180 about some advanced AI features, and then, importantly, 00:18:47.519 --> 00:18:49.900 its current limitations. What else can these 00:18:49.900 --> 00:18:52.380 tools do? Right. On the advanced feature side, 00:18:52.980 --> 00:18:56.460 custom GPTs and chat GPT are fantastic. You can 00:18:56.460 --> 00:18:58.640 basically create your own specialized chat bots. 00:18:58.759 --> 00:19:01.079 You give them unique instructions, upload background 00:19:01.079 --> 00:19:03.859 knowledge like specific documents or data, and 00:19:03.859 --> 00:19:07.380 give them specific skills. Imagine a creative 00:19:07.380 --> 00:19:09.400 writing assistant that knows all your novels, 00:19:09.440 --> 00:19:11.700 characters, and plot points, or a data analyst 00:19:11.700 --> 00:19:14.759 expert that always generates charts using your 00:19:14.759 --> 00:19:17.000 company's branding and preferred format. Really 00:19:17.000 --> 00:19:19.539 personalized tools. Exactly. Then over in the 00:19:19.539 --> 00:19:21.339 Claude ecosystem, you have Claude Artifacts. 00:19:21.980 --> 00:19:24.039 These allow you to ask Claude to create small 00:19:24.039 --> 00:19:26.539 interactive applications directly alongside the 00:19:26.539 --> 00:19:28.910 chat. For example, you could ask Claude to write 00:19:28.910 --> 00:19:31.650 some HTML and CSS code for a webpage element, 00:19:31.990 --> 00:19:34.130 and it renders that webpage right there in a 00:19:34.130 --> 00:19:36.250 separate live preview window for you to see and 00:19:36.250 --> 00:19:39.190 even edit. Or it could build a simple flashcard 00:19:39.190 --> 00:19:41.730 system for studying. It's pretty cool. That's 00:19:41.730 --> 00:19:44.490 amazing interactive applications right in the 00:19:44.490 --> 00:19:47.670 chat window. How can we integrate AI into our 00:19:47.670 --> 00:19:50.130 writer workflow beyond just using the chat interface? 00:19:50.329 --> 00:19:51.869 Yeah, that's where integration and automation 00:19:51.869 --> 00:19:55.019 come in. True power users don't just live inside 00:19:55.019 --> 00:19:57.480 the AI chat window, they integrate it into their 00:19:57.480 --> 00:20:00.259 daily work. Use AI to draft the first version 00:20:00.259 --> 00:20:03.500 of complex emails, then you refine them. Ask 00:20:03.500 --> 00:20:06.359 AI to create a detailed outline for a report 00:20:06.359 --> 00:20:09.380 or presentation, which you then flesh out much 00:20:09.380 --> 00:20:12.619 faster. And tools like Zapier or Make .com let 00:20:12.619 --> 00:20:15.000 you connect AI to literally thousands of other 00:20:15.000 --> 00:20:17.339 apps. You could, for instance, set up a workflow 00:20:17.339 --> 00:20:19.539 to automatically summarize important client emails 00:20:19.539 --> 00:20:21.859 using AI and then send that summary directly 00:20:21.859 --> 00:20:24.119 to your team's Slack channel. That's neck -level 00:20:24.119 --> 00:20:26.559 productivity, saving tons of time. That truly 00:20:26.559 --> 00:20:29.000 sounds like taking things to a whole new operational 00:20:29.000 --> 00:20:31.200 level. But let's be realistic here. What are 00:20:31.200 --> 00:20:33.819 the current important limitations of AI? What 00:20:33.819 --> 00:20:36.420 can it not do well, at least not yet? Understanding 00:20:36.420 --> 00:20:38.880 limitations is just as critical as knowing the 00:20:38.880 --> 00:20:41.940 capabilities, maybe more so. Current AI still 00:20:41.940 --> 00:20:44.200 struggles significantly with perfect accuracy. 00:20:45.039 --> 00:20:48.180 Those hallucinations, where it confidently fabricates 00:20:48.180 --> 00:20:51.619 information, dates, facts, are still pretty common. 00:20:51.779 --> 00:20:55.289 You have to verify. Critical point. It also struggles 00:20:55.289 --> 00:20:58.130 with self -correction. If it makes an error early 00:20:58.130 --> 00:21:00.630 on in its reasoning, it might just build its 00:21:00.630 --> 00:21:03.210 entire response on that flawed foundation without 00:21:03.210 --> 00:21:05.930 realizing it. And what's truly fascinating, maybe 00:21:05.930 --> 00:21:08.829 a bit weird, is that AI can solve incredibly 00:21:08.829 --> 00:21:12.069 complex differential equations but still stumble 00:21:12.069 --> 00:21:14.950 on a basic common -sense riddle or a simple logic 00:21:14.950 --> 00:21:17.769 puzzle. This just highlights that its intelligence 00:21:17.769 --> 00:21:19.589 is fundamentally different from ours. Yeah, it's 00:21:19.589 --> 00:21:22.130 not human thinking. Not at all. It also lacks 00:21:22.130 --> 00:21:24.690 any real long -term memory between separate conversations. 00:21:25.269 --> 00:21:27.589 This makes managing a complex project over multiple 00:21:27.589 --> 00:21:30.069 weeks challenging, unless you constantly refeeded 00:21:30.069 --> 00:21:32.670 all the context from previous chats. And for 00:21:32.670 --> 00:21:35.049 problems needing many consecutive steps of logical 00:21:35.049 --> 00:21:37.789 or causal reasoning, the AI can sometimes just 00:21:37.789 --> 00:21:41.180 get lost or go in circles. Given these very real 00:21:41.180 --> 00:21:44.019 limitations, what's our most critical responsibility 00:21:44.019 --> 00:21:47.500 as AI users? To always verify important information, 00:21:47.960 --> 00:21:50.960 maintain critical human oversight, and use AI 00:21:50.960 --> 00:21:54.279 as a powerful amplifier or assistant, never as 00:21:54.279 --> 00:21:56.259 a complete replacement for your own judgment, 00:21:56.640 --> 00:21:59.380 especially for critical decisions. So we've navigated 00:21:59.380 --> 00:22:01.859 the map, explored the tools, the techniques, 00:22:01.960 --> 00:22:04.359 and the boundaries. Now it's really about action, 00:22:04.400 --> 00:22:06.859 isn't it? Your next steps, moving from learning 00:22:06.859 --> 00:22:09.970 to actually doing. We have a tangible 30 -day 00:22:09.970 --> 00:22:12.390 action plan for you listening. Exactly. It's 00:22:12.390 --> 00:22:15.609 time to put rubber to the road. Week one, foundations. 00:22:16.170 --> 00:22:18.869 Choose your primary AI tool, chat GPT, Claude, 00:22:18.930 --> 00:22:21.130 Gemini, and ideally sign up for that paid account. 00:22:21.470 --> 00:22:23.410 Spend a solid 30 minutes carefully configuring 00:22:23.410 --> 00:22:25.210 all its settings and personalization options 00:22:25.210 --> 00:22:28.009 like we discussed. Then just practice basic prompting 00:22:28.009 --> 00:22:30.109 with five different types of requests relevant 00:22:30.109 --> 00:22:32.230 to your daily worker interests. Just get comfortable. 00:22:32.490 --> 00:22:35.089 Okay, Bill's momentum. What about week two? Week 00:22:35.089 --> 00:22:39.339 two, feature exploration. Now you experiment. 00:22:40.019 --> 00:22:42.859 Try the multimodal inputs. Use your voice to 00:22:42.859 --> 00:22:45.839 brainstorm ideas out loud, upload a PDF document 00:22:45.839 --> 00:22:48.319 for a quick summary, or snap a photo of something 00:22:48.319 --> 00:22:51.390 complex to get an explanation. Use the deep research 00:22:51.390 --> 00:22:53.369 feature for a topic you're genuinely curious 00:22:53.369 --> 00:22:55.750 about, applying those specific prompting rules. 00:22:56.210 --> 00:22:58.890 And try practicing at least three advanced prompting 00:22:58.890 --> 00:23:01.869 techniques we covered. Maybe few shot, self -criticism, 00:23:01.950 --> 00:23:04.109 or role prompting. Push yourself a bit. And week 00:23:04.109 --> 00:23:06.329 three, getting more integrated into actual work, 00:23:06.450 --> 00:23:09.210 I imagine. Yes, exactly. Week three, real -world 00:23:09.210 --> 00:23:12.029 application. Identify three recurring tasks in 00:23:12.029 --> 00:23:14.430 your week where AI could realistically help automate 00:23:14.430 --> 00:23:17.039 part of the process. Create specific prompt templates 00:23:17.039 --> 00:23:18.960 or fine -tune your custom instructions for these 00:23:18.960 --> 00:23:21.460 tasks. And then use the branching feature actively 00:23:21.460 --> 00:23:23.500 to explore different angles or refinements for 00:23:23.500 --> 00:23:25.799 those specific tasks. You're actively building 00:23:25.799 --> 00:23:28.059 personalized AI workflows now. That's where the 00:23:28.059 --> 00:23:29.740 real productivity gains probably start kicking 00:23:29.740 --> 00:23:32.460 in. What about our final week? Week four. Bringing 00:23:32.460 --> 00:23:36.369 it all together. Week four. Advanced usage. Challenge 00:23:36.369 --> 00:23:38.529 yourself a bit more. Try building something small 00:23:38.529 --> 00:23:41.190 with Claude artifacts, maybe a simple tool, or 00:23:41.190 --> 00:23:43.789 create your first custom GPT for a personal or 00:23:43.789 --> 00:23:46.349 professional task you do often. Practice the 00:23:46.349 --> 00:23:48.809 problem decomposition technique for a complex 00:23:48.809 --> 00:23:51.890 multi -step request you have. Break it down and 00:23:51.890 --> 00:23:54.630 start thinking about maybe even trying. Integrating 00:23:54.630 --> 00:23:57.130 AI into your wider workflow by connecting it 00:23:57.130 --> 00:23:58.970 to at least one other application using something 00:23:58.970 --> 00:24:01.490 like Zapier, even if it's simple. This is where 00:24:01.490 --> 00:24:03.390 you truly start leveling up your capabilities. 00:24:03.690 --> 00:24:05.710 Looking ahead, thinking about the power user 00:24:05.710 --> 00:24:08.230 of tomorrow, it's pretty clear AI capabilities 00:24:08.230 --> 00:24:10.210 are just going to continue advancing at this, 00:24:10.210 --> 00:24:12.890 well, breathtaking rate. So what's the real key 00:24:12.890 --> 00:24:15.089 to enduring success amidst all this constant 00:24:15.089 --> 00:24:17.250 change? You know, the key isn't going to be knowing 00:24:17.250 --> 00:24:19.349 every single new feature the moment it drops. 00:24:19.470 --> 00:24:22.490 That's impossible. It's about building a strong, 00:24:22.630 --> 00:24:25.490 foundational understanding. How to communicate 00:24:25.490 --> 00:24:27.390 effectively with AI systems, how to configure 00:24:27.390 --> 00:24:30.210 your tools properly for your needs, and how to 00:24:30.210 --> 00:24:32.589 thoughtfully and ethically integrate AI into 00:24:32.589 --> 00:24:35.099 your work and life. The companies and individuals 00:24:35.099 --> 00:24:38.220 who really master these core skills now will 00:24:38.220 --> 00:24:41.759 have a significant competitive advantage as AI 00:24:41.759 --> 00:24:44.640 becomes even more deeply woven into everything 00:24:44.640 --> 00:24:47.859 we do. The biggest challenge, overcoming inertia 00:24:47.859 --> 00:24:50.740 with consistent practice. Precisely. Intentional 00:24:50.740 --> 00:24:53.140 consistent use is the secret sauce. So to kind 00:24:53.140 --> 00:24:55.789 of recap our deep dive today. You are not behind. 00:24:56.029 --> 00:24:58.710 The path to becoming an AI power user is surprisingly 00:24:58.710 --> 00:25:01.250 accessible. It really requires no coding background, 00:25:01.470 --> 00:25:04.309 no deep technical expertise, just genuine curiosity, 00:25:04.630 --> 00:25:07.250 a willingness to learn systematically and consistent 00:25:07.250 --> 00:25:09.609 practice. That's absolutely right. The difference 00:25:09.609 --> 00:25:11.930 between just randomly using AI now and then and 00:25:11.930 --> 00:25:14.349 becoming a true power user isn't some complex 00:25:14.349 --> 00:25:16.869 secret formula. It's simply about being intentional. 00:25:17.230 --> 00:25:19.930 It's about understanding both the vast capabilities 00:25:19.930 --> 00:25:22.130 and the crucial limitations of these powerful 00:25:22.130 --> 00:25:24.839 tools. The AI revolution is something that's 00:25:24.839 --> 00:25:26.940 just happening to you. It's something you can 00:25:26.940 --> 00:25:29.420 actively participate in, you can shape its use 00:25:29.420 --> 00:25:31.559 in your life, and you can profoundly benefit 00:25:31.559 --> 00:25:33.920 from it. We really encourage you listening to 00:25:33.920 --> 00:25:37.160 pick just one tip, maybe one step from today's 00:25:37.160 --> 00:25:40.039 deep dive, and implement it. Today or tomorrow, 00:25:40.440 --> 00:25:42.980 your AI journey truly starts with your very next 00:25:42.980 --> 00:25:45.859 prompt. So the final thought is, what will you 00:25:45.859 --> 00:25:48.460 create? What problems will you solve when you 00:25:48.460 --> 00:25:51.029 truly unlock AI's potential for yourself? Thank 00:25:51.029 --> 00:25:52.910 you for joining us on this deep dive into becoming 00:25:52.910 --> 00:25:54.069 an AI power user.