WEBVTT 00:00:00.000 --> 00:00:03.359 Imagine you hold the keys to a truly high -performance 00:00:03.359 --> 00:00:07.099 machine, a supercar perhaps. But for whatever 00:00:07.099 --> 00:00:08.900 reason, you're only driving it in first gear, 00:00:09.160 --> 00:00:11.980 barely scratching the surface of its capabilities. 00:00:12.160 --> 00:00:15.160 Right. Just idling, really. What if you could 00:00:15.160 --> 00:00:18.739 unlock its true exhilarating potential? Today, 00:00:18.820 --> 00:00:22.359 we're going deep into ChatGPT -5. We're moving 00:00:22.359 --> 00:00:25.899 beyond simple conversations to, well, real AI 00:00:25.899 --> 00:00:29.820 mastery. Welcome to the deep dive. Yeah, our 00:00:29.820 --> 00:00:32.159 mission today is pretty straightforward. Transform 00:00:32.159 --> 00:00:34.520 your understanding of this incredibly powerful 00:00:34.520 --> 00:00:37.140 tool. We'll cover, you know, everything from 00:00:37.140 --> 00:00:39.240 the bedrock of effective prompting all the way 00:00:39.240 --> 00:00:41.119 to building your own specialized AI assistance. 00:00:41.500 --> 00:00:43.920 This deep dive is your roadmap then. We'll unpack 00:00:43.920 --> 00:00:46.259 the core principles, explore some really cool 00:00:46.259 --> 00:00:49.079 features like multimodal analysis, and show you 00:00:49.079 --> 00:00:51.399 how to truly integrate AI into your work and 00:00:51.399 --> 00:00:54.259 daily life. So what does this actually mean for 00:00:54.259 --> 00:00:56.240 you listening? We're talking about a tangible 00:00:56.240 --> 00:00:59.840 boost in personal productivity, solving complex 00:00:59.840 --> 00:01:02.119 business problems maybe more efficiently, and 00:01:02.119 --> 00:01:04.319 just generally supercharging your workflow. Let's 00:01:04.319 --> 00:01:07.959 get started. So many of us, and I definitely 00:01:07.959 --> 00:01:10.640 include myself here sometimes, we approach powerful 00:01:10.640 --> 00:01:15.000 AI almost like a toy. We start with these vague 00:01:15.000 --> 00:01:18.099 prompts like asking for a blog post on, I don't 00:01:18.099 --> 00:01:20.519 know, healthy morning routines. Okay, yeah, very 00:01:20.519 --> 00:01:23.859 broad. And the AI, brilliant as it is, it's kind 00:01:23.859 --> 00:01:26.500 of forced to play a guessing game. And the output, 00:01:26.680 --> 00:01:30.140 well, often it's generic, uninspired. Yeah, that 00:01:30.140 --> 00:01:32.340 supercar stuck in first gear, that's a good analogy. 00:01:32.620 --> 00:01:35.219 Exactly. What's truly fascinating, though, is 00:01:35.219 --> 00:01:38.079 that unlocking dramatically better results isn't 00:01:38.079 --> 00:01:41.640 about some, you know, secret code or hidden trick. 00:01:41.939 --> 00:01:44.989 Okay. lies in understanding what we call the 00:01:44.989 --> 00:01:47.989 holy trinity of effective prompting. These are 00:01:47.989 --> 00:01:50.269 three fundamental elements for pretty much every 00:01:50.269 --> 00:01:52.730 AI interaction. They allow you to give clear, 00:01:52.750 --> 00:01:54.969 precise instructions. The holy trinity. Okay. 00:01:55.030 --> 00:01:58.409 Break that down for us. Right. First, clear instruction. 00:01:58.709 --> 00:02:01.700 Be specific, not vague. Think about it. Instead 00:02:01.700 --> 00:02:03.900 of just write about productivity. Which could 00:02:03.900 --> 00:02:06.040 mean anything. Right. Try something like write 00:02:06.040 --> 00:02:08.819 a 500 -word blog post about weekly planning for 00:02:08.819 --> 00:02:12.319 busy entrepreneurs. You're giving the AI a clear 00:02:12.319 --> 00:02:15.000 target. Okay, that makes sense. It's like giving 00:02:15.000 --> 00:02:18.120 a GPS a precise street address rather than just 00:02:18.120 --> 00:02:21.159 saying drive north. Exactly. Perfect. Second, 00:02:21.379 --> 00:02:24.800 rich context. This is the who, what, and why. 00:02:25.189 --> 00:02:27.330 The why. That seems important. It's crucial. 00:02:27.569 --> 00:02:30.069 It helps the AI understand why you want something, 00:02:30.150 --> 00:02:32.509 not just what. Who's the audience? What's the 00:02:32.509 --> 00:02:35.009 purpose behind this request? Got it. And the 00:02:35.009 --> 00:02:38.550 third. And third, heart constraints. These set 00:02:38.550 --> 00:02:41.409 the rules for the output. Things like tone, structure, 00:02:41.830 --> 00:02:44.270 length, maybe even the format. So you might say, 00:02:44.330 --> 00:02:47.990 keep it casual and motivating. Precisely. Or... 00:02:48.219 --> 00:02:51.280 include three actionable habits. Without these 00:02:51.280 --> 00:02:53.699 boundaries, the AI just fills in the blanks and, 00:02:53.800 --> 00:02:56.139 well, its guesses might not be yours. So it's 00:02:56.139 --> 00:02:58.520 less like a casual chat and more like giving 00:02:58.520 --> 00:03:01.099 your AI assistant a complete detailed project 00:03:01.099 --> 00:03:03.240 brief. That's a great way to put it. For instance, 00:03:03.300 --> 00:03:05.419 instead of just write a blog post about healthy 00:03:05.419 --> 00:03:08.539 morning routines, you could specify. Okay, let's 00:03:08.539 --> 00:03:10.919 see. You are a wellness coach. That's the role. 00:03:11.360 --> 00:03:14.860 Well, write a 500 -word blog post for busy entrepreneurs 00:03:14.860 --> 00:03:17.319 about building healthy morning routines. That's 00:03:17.319 --> 00:03:20.180 instruction in context. Yep. Audience. Topic. 00:03:20.500 --> 00:03:22.580 Emphasize how this improves productivity and 00:03:22.580 --> 00:03:26.180 mental health. More context. The tone must be 00:03:26.180 --> 00:03:28.900 casual and motivating. It must include three 00:03:28.900 --> 00:03:31.740 actionable habits with short headings and end 00:03:31.740 --> 00:03:33.719 with a motivational quote about starting the 00:03:33.719 --> 00:03:36.599 day right. Those are the constraints. Bang on. 00:03:36.680 --> 00:03:39.400 That level of specificity is absolutely game 00:03:39.400 --> 00:03:43.169 -changing. So. For better AI results, what's 00:03:43.169 --> 00:03:44.849 the first step you should take? Be specific. 00:03:45.189 --> 00:03:47.750 Clearly instruct the AI what you want. Simple 00:03:47.750 --> 00:03:50.250 as that. Okay, so it's clear that precision transforms 00:03:50.250 --> 00:03:53.449 text -based interactions. But what happens when 00:03:53.449 --> 00:03:56.349 we move beyond just words? You mentioned ChatGPT 00:03:56.349 --> 00:03:58.490 isn't just a text tool anymore. No, not at all. 00:03:58.509 --> 00:04:00.830 It's literally opening its eyes and ears to the 00:04:00.830 --> 00:04:03.629 world now. How so? Well, one of the biggest shifts 00:04:03.629 --> 00:04:06.229 is this feature called Canvas. Imagine Google 00:04:06.229 --> 00:04:10.039 Docs, right? But with ChatGPT embedded... Live, 00:04:10.039 --> 00:04:12.039 right there with you. Okay. You just type something 00:04:12.039 --> 00:04:14.139 like, let's edit this in a canvas, and boom, 00:04:14.240 --> 00:04:16.160 you get this powerful split -screen workspace. 00:04:16.620 --> 00:04:18.180 So it's like a living document. You can type 00:04:18.180 --> 00:04:20.740 directly into it. Yep. Or you can ask the AI 00:04:20.740 --> 00:04:22.680 to make changes to the chat, maybe highlighting 00:04:22.680 --> 00:04:25.779 specific bits for edits. Exactly. And you can 00:04:25.779 --> 00:04:28.139 track the changes visually. You retain full control. 00:04:28.420 --> 00:04:31.100 It's really intuitive. That sounds useful beyond 00:04:31.100 --> 00:04:33.180 just writing. Oh, absolutely. Temvus isn't just 00:04:33.180 --> 00:04:35.699 for writing. Think of it as a universal workspace. 00:04:36.100 --> 00:04:38.720 You could use it for code, calendars, project 00:04:38.720 --> 00:04:41.779 tracking, even large data sets. Anywhere you 00:04:41.779 --> 00:04:44.560 need a saved, editable document where the AI 00:04:44.560 --> 00:04:47.519 can be your live co -editor. And this connects 00:04:47.519 --> 00:04:52.060 to the next big thing. Multimodal magic. Multimodal. 00:04:52.060 --> 00:04:53.839 Okay, that's a term we hear a lot. When we say 00:04:53.839 --> 00:04:56.639 multimodal powerhouse, what are we really talking 00:04:56.639 --> 00:04:59.600 about? Define that for us. Sure. Multimodal powerhouse 00:04:59.600 --> 00:05:02.019 basically means it can process and understand 00:05:02.019 --> 00:05:05.040 info from many different source types. Like? 00:05:05.100 --> 00:05:08.060 Like text, obviously, but also images, audio, 00:05:08.339 --> 00:05:11.180 even video files, PDFs, spreadsheets. It's not 00:05:11.180 --> 00:05:13.480 just stuck with words. So it can see and hear. 00:05:13.920 --> 00:05:15.819 In a sense. Pretty much. Its image analysis, 00:05:15.959 --> 00:05:18.480 for example, goes way beyond just identifying 00:05:18.480 --> 00:05:21.120 objects. It can get deep contextual understanding 00:05:21.120 --> 00:05:23.939 of, say, complex technical diagrams. I remember 00:05:23.939 --> 00:05:25.740 hearing something about it processing a huge 00:05:25.740 --> 00:05:30.839 Tesla SEC filing, like 144 pages. Yeah. In seconds. 00:05:31.040 --> 00:05:33.519 And it pulled out the top opportunities and risks. 00:05:33.759 --> 00:05:36.470 That's... That's incredible speed. It is. But 00:05:36.470 --> 00:05:38.529 the true insight there isn't just the speed. 00:05:38.649 --> 00:05:42.750 It's the AI's ability to spot these complex interwoven 00:05:42.750 --> 00:05:45.519 patterns across massive amounts of data. Things 00:05:45.519 --> 00:05:48.180 a human analyst might miss or take weeks to find. 00:05:48.339 --> 00:05:50.720 Exactly. It fundamentally alters how we might 00:05:50.720 --> 00:05:52.620 approach market analysis or risk assessment. 00:05:52.860 --> 00:05:56.199 And the mobile app really showcases this multimodal 00:05:56.199 --> 00:05:58.639 stuff. How so? Well, you can point your phone 00:05:58.639 --> 00:06:01.220 camera at a plant and it'll identify it. Okay. 00:06:01.279 --> 00:06:04.139 Or show it computer components and it can give 00:06:04.139 --> 00:06:06.639 you step -by -step guidance on how to build the 00:06:06.639 --> 00:06:10.199 thing. Wow. So how does ChatGPT move beyond simple 00:06:10.199 --> 00:06:13.370 text interactions then? It uses Canvas for editing 00:06:13.370 --> 00:06:15.990 and multimodal inputs like images and documents. 00:06:16.209 --> 00:06:18.769 Got it. All right. Moving on. Let's look under 00:06:18.769 --> 00:06:22.149 the hood a bit. Yeah. At ChatGTT's supercharged 00:06:22.149 --> 00:06:24.410 brain. as you put it. Yeah, let's do that. This 00:06:24.410 --> 00:06:26.610 includes its real -time web search capability, 00:06:26.930 --> 00:06:28.970 right? Like a direct feed for current information. 00:06:29.389 --> 00:06:31.209 That's right. It acts like a direct data feed. 00:06:31.410 --> 00:06:33.769 It can automatically search the internet for 00:06:33.769 --> 00:06:37.050 current info, news headlines, stock prices, that 00:06:37.050 --> 00:06:39.810 sort of thing. And it provides source citations, 00:06:39.889 --> 00:06:41.810 which is important. How do you control that? 00:06:42.009 --> 00:06:44.910 You can. You can even manually enable it to guarantee 00:06:44.910 --> 00:06:47.269 it accesses the web if you need the absolute 00:06:47.269 --> 00:06:51.269 latest info. Okay. This raises an important question 00:06:51.269 --> 00:06:53.810 about how it actually thinks. You mentioned advanced 00:06:53.810 --> 00:06:56.089 reasoning. Yeah, advanced reasoning provides 00:06:56.089 --> 00:06:59.110 different thinking modes. By default, it sort 00:06:59.110 --> 00:07:01.589 of figures out the reasoning depth automatically. 00:07:02.149 --> 00:07:04.660 So, simple question, quick answer. Exactly. Simple 00:07:04.660 --> 00:07:07.639 question, fast answer. Complex one, it ticks 00:07:07.639 --> 00:07:10.839 off a longer, more detailed process. But, and 00:07:10.839 --> 00:07:13.220 this is key for paid subscribers, you can manually 00:07:13.220 --> 00:07:15.779 override this. How? You can choose between fast, 00:07:15.980 --> 00:07:18.680 default, or extended thinking modes. This helps 00:07:18.680 --> 00:07:20.860 reduce hallucinations. Hallucinations. Can you 00:07:20.860 --> 00:07:23.240 define that quickly? Sure. Hallucinations are 00:07:23.240 --> 00:07:26.480 when AI generates convincing but factually incorrect 00:07:26.480 --> 00:07:31.149 information. Ah, okay. Plausible but wrong. Precisely. 00:07:31.149 --> 00:07:34.009 So controlling the thinking mode is really useful 00:07:34.009 --> 00:07:37.009 for high -stakes queries where accuracy is paramount. 00:07:37.110 --> 00:07:39.589 Plus, it's transparent. You can actually examine 00:07:39.589 --> 00:07:42.149 its chain of thought, see how it arrived at an 00:07:42.149 --> 00:07:44.550 answer. That's fascinating. And then there's 00:07:44.550 --> 00:07:46.449 deep research. You call this a nitrous boost 00:07:46.449 --> 00:07:49.189 for its engine. Huh. Yeah, that's what it feels 00:07:49.189 --> 00:07:52.029 like sometimes. It transforms ChatGPT into your 00:07:52.029 --> 00:07:54.870 personal research assistant, basically. How is 00:07:54.870 --> 00:07:56.829 it different from the regular web search? Oh, 00:07:56.829 --> 00:07:59.250 it's much more comprehensive. This isn't just 00:07:59.250 --> 00:08:01.209 a quick lookup. It's a proper investigation. 00:08:01.389 --> 00:08:04.069 Okay. When you activate it, the system spends 00:08:04.069 --> 00:08:07.509 maybe five, even 10 minutes analyzing a whole 00:08:07.509 --> 00:08:10.170 range of different sources, considering arguments, 00:08:10.490 --> 00:08:13.269 counter arguments. Wow. And then it combines 00:08:13.269 --> 00:08:15.750 everything into a well -organized report. The 00:08:15.750 --> 00:08:18.529 output is really professional grade. It looks 00:08:18.529 --> 00:08:20.449 a bit like a literature review. By structure 00:08:20.449 --> 00:08:23.310 and sources. Absolutely. Structured breakdowns, 00:08:23.310 --> 00:08:25.930 multiple perspectives, direct quotes with links 00:08:25.930 --> 00:08:28.389 back to the sources, evidence -based conclusions. 00:08:28.889 --> 00:08:31.370 Imagine the time saved doing competitive analysis 00:08:31.370 --> 00:08:35.129 or academic research. Sounds powerful. Any limitations? 00:08:35.509 --> 00:08:37.409 Well, free users have limited sessions, so you 00:08:37.409 --> 00:08:39.230 really need to use this strategically. It's a 00:08:39.230 --> 00:08:41.289 superpower you deploy for those critical insights. 00:08:41.610 --> 00:08:44.210 And there's a pro -level upgrade, too. You can 00:08:44.210 --> 00:08:46.759 upload your... own trusted documents maybe internal 00:08:46.759 --> 00:08:49.600 reports or specific studies and set those as 00:08:49.600 --> 00:08:52.419 the primary foundation then it uses the web search 00:08:52.419 --> 00:08:54.899 just for supporting consistent information you 00:08:54.899 --> 00:08:57.600 get the best of both worlds your trusted base 00:08:57.600 --> 00:09:01.120 plus current context that sounds like a researcher's 00:09:01.120 --> 00:09:04.539 dream tool honestly but a question here with 00:09:04.539 --> 00:09:06.940 something so powerful synthesizing information 00:09:07.659 --> 00:09:09.779 How do we make sure we're not just reinforcing 00:09:09.779 --> 00:09:12.039 our own biases? That's a really crucial point. 00:09:12.179 --> 00:09:14.700 How do we ensure the AI synthesis offers genuinely 00:09:14.700 --> 00:09:18.820 novel insights, not just... you know a repackaging 00:09:18.820 --> 00:09:21.039 of what's already out there right it circles 00:09:21.039 --> 00:09:23.100 back to the user's role and honestly back to 00:09:23.100 --> 00:09:25.019 that prompting trinity we talked about while 00:09:25.019 --> 00:09:27.179 deep research synthesizes your prompt with that 00:09:27.179 --> 00:09:29.700 rich context and clear constraints guides its 00:09:29.700 --> 00:09:31.879 focus so you have to actively ask for different 00:09:31.879 --> 00:09:34.539 viewpoints exactly you can ask for conflicting 00:09:34.539 --> 00:09:37.379 perspectives or instruct it to explicitly challenge 00:09:37.379 --> 00:09:39.899 common assumptions in the field the tool itself 00:09:39.899 --> 00:09:42.720 is impartial but your framing your instructions 00:09:42.720 --> 00:09:45.559 ensure you get a balanced critical output it's 00:09:45.559 --> 00:09:47.769 about designing your query to elicit genuine 00:09:47.769 --> 00:09:51.429 insights, not just confirmations. So what's the 00:09:51.429 --> 00:09:54.590 ultimate research tool within ChatGPT for detailed 00:09:54.590 --> 00:09:58.440 investigations? Deep Research Mode offers comprehensive 00:09:58.440 --> 00:10:01.279 source -informed investigation and reports. Okay, 00:10:01.340 --> 00:10:04.340 so that foundational Trinity instruction, context, 00:10:04.480 --> 00:10:06.720 constraints, that's our everyday recipe. Your 00:10:06.720 --> 00:10:08.879 go -to, yeah. But for the really important high 00:10:08.879 --> 00:10:11.360 -stakes prompts, you mentioned a gourmet recipe. 00:10:11.399 --> 00:10:13.379 Yes, the gourmet recipe. That's the complete 00:10:13.379 --> 00:10:17.360 professional -grade RICICO framework. RICICO. 00:10:17.419 --> 00:10:19.279 Okay, what does that stand for? It stands for 00:10:19.279 --> 00:10:22.399 Role, Instruction, Context, Examples, Constraints, 00:10:22.460 --> 00:10:26.120 and Output Format. R -I -C -E -C -O. Got it. 00:10:26.159 --> 00:10:28.179 Now, if we connect this to the bigger picture, 00:10:28.320 --> 00:10:30.460 the secret ingredients here, the ones that really 00:10:30.460 --> 00:10:32.980 elevate your prompt from just good to great are 00:10:32.980 --> 00:10:35.179 role, examples, and output format. Those are 00:10:35.179 --> 00:10:38.120 the extras beyond the basic Trinity. Okay, let's 00:10:38.120 --> 00:10:40.840 delve deeper into those three. Role first. Right, 00:10:40.919 --> 00:10:44.480 role. Assigning the AI a specific persona is 00:10:44.480 --> 00:10:48.000 incredibly powerful. Think about you are a travel 00:10:48.000 --> 00:10:51.320 vlogger versus you are a business travel consultant. 00:10:51.710 --> 00:10:53.970 Completely different outputs, I'd imagine. Dramatically 00:10:53.970 --> 00:10:56.289 different. One gives you maybe an emotional story. 00:10:56.389 --> 00:10:58.950 The other, practical details, cost savings, efficiency 00:10:58.950 --> 00:11:02.450 tips. The role shapes its entire approach. Okay. 00:11:02.509 --> 00:11:05.210 Then examples. Examples. This one's huge. Providing 00:11:05.210 --> 00:11:07.490 your own work samples, maybe a previous blog 00:11:07.490 --> 00:11:10.049 post, a report you wrote is the absolute best 00:11:10.049 --> 00:11:12.789 way for the AI to learn and copy your specific 00:11:12.789 --> 00:11:15.649 style, your tone, even your formatting preferences. 00:11:16.110 --> 00:11:17.950 So it stops sounding generic and starts sounding 00:11:17.950 --> 00:11:21.080 like me. Precisely. It transforms generic output 00:11:21.080 --> 00:11:23.600 into personalized content. Highly effective. 00:11:23.919 --> 00:11:26.360 And the last one, output format. Output format. 00:11:26.419 --> 00:11:28.940 This sounds simple, but it's so powerful for 00:11:28.940 --> 00:11:31.860 preventing just a messy wall of text. You can 00:11:31.860 --> 00:11:35.200 specifically command the AI to say, give me a 00:11:35.200 --> 00:11:37.860 three column table or present this as bullet 00:11:37.860 --> 00:11:40.740 points under these specific headings. You get 00:11:40.740 --> 00:11:43.600 a clean, organized, and immediately usable result. 00:11:43.740 --> 00:11:46.039 It's like telling your designer exactly how you 00:11:46.039 --> 00:11:48.440 want the final deliverable laid out. Right. So 00:11:48.440 --> 00:11:51.320 let's put Rice Geek onto action. Instead of that 00:11:51.320 --> 00:11:54.700 vague question, how can I implement AI automations 00:11:54.700 --> 00:11:57.179 into my real estate business? Yeah, way too vague. 00:11:57.360 --> 00:12:00.919 Okay. Using Rice Co., you'd assign the AI the 00:12:00.919 --> 00:12:04.879 role of, say, a business growth strategist specializing 00:12:04.879 --> 00:12:07.860 in AI for real estate. Good start. Specific role. 00:12:08.019 --> 00:12:10.100 Give it a clear instruction. Right. Identify 00:12:10.100 --> 00:12:12.419 the top AI and automation opportunities to streamline 00:12:12.419 --> 00:12:15.100 my business and produce a prioritized action 00:12:15.100 --> 00:12:17.539 plan. Nice and clear instruction. Then, crucially, 00:12:17.659 --> 00:12:21.080 provide context. Detail business info, your market 00:12:21.080 --> 00:12:24.000 area, current processes, team size, growth goals. 00:12:24.200 --> 00:12:26.080 The why and the who. Add examples. Maybe specific 00:12:26.080 --> 00:12:27.940 automation ideas you're already interested in, 00:12:27.980 --> 00:12:30.879 just for reference. Helps guide it. Set constraints. 00:12:31.279 --> 00:12:33.860 Things like your time limits, budget, technical 00:12:33.860 --> 00:12:36.919 ability. Realistic. Boundaries. And finally, 00:12:36.980 --> 00:12:40.440 specify the output format. Like, you must present 00:12:40.440 --> 00:12:43.419 your answer as a full playbook organized by difficulty 00:12:43.419 --> 00:12:46.580 level and timeline, starting with the quick wins. 00:12:46.820 --> 00:12:48.899 Perfect. See the difference? It's like giving 00:12:48.899 --> 00:12:51.519 your AI assistant a complete project specification, 00:12:51.840 --> 00:12:54.480 not just a vague idea scribbled on a napkin. 00:12:54.620 --> 00:12:56.419 It really is the difference between a rough sketch 00:12:56.419 --> 00:12:59.120 and a detailed architectural blueprint. Couldn't 00:12:59.120 --> 00:13:01.860 have said it better myself. So beyond the basic 00:13:01.860 --> 00:13:04.879 three elements, what's a key addition for truly 00:13:04.879 --> 00:13:08.360 tailored AI outputs? Assigning a specific role 00:13:08.360 --> 00:13:11.379 and providing examples greatly improves customization. 00:13:11.820 --> 00:13:15.320 Mid -roll sponsor read. Okay, we're back. Let's 00:13:15.320 --> 00:13:17.279 talk about customization and personalization 00:13:17.279 --> 00:13:19.940 now. These sound like the settings that let you 00:13:19.940 --> 00:13:22.559 really tune the AI, right? Get it working in 00:13:22.559 --> 00:13:25.059 your specific key, your style. Exactly. So it 00:13:25.059 --> 00:13:27.320 consistently sounds and acts the way you want 00:13:27.320 --> 00:13:29.700 it to. First up, you've got custom instructions 00:13:29.700 --> 00:13:32.080 in your profile settings. Think of this as a 00:13:32.080 --> 00:13:35.120 set it and forget it system. You establish a 00:13:35.120 --> 00:13:37.799 consistent global context for basically all your 00:13:37.799 --> 00:13:40.200 interactions. You can tell the AI your name, 00:13:40.340 --> 00:13:42.399 your profession, your preferred communication 00:13:42.399 --> 00:13:45.679 style, formal, informal, whatever. So it remembers 00:13:45.679 --> 00:13:48.539 that baseline across different chats. Precisely. 00:13:48.539 --> 00:13:51.620 It provides a foundational layer of personalization. 00:13:51.779 --> 00:13:53.580 What else is there? Well, beyond those basic 00:13:53.580 --> 00:13:55.419 instructions, there's personality selection. 00:13:55.759 --> 00:13:58.259 This is more like your vibe control. Eye control. 00:13:58.480 --> 00:14:00.720 Okay. Yeah. You can choose from the cheerful 00:14:00.720 --> 00:14:03.679 default or maybe a super efficient robot mode 00:14:03.679 --> 00:14:06.820 if you just want facts, no fluff. There are even 00:14:06.820 --> 00:14:10.820 fun ones like cynic or nerd mode. Huh. Interesting. 00:14:10.960 --> 00:14:13.860 It tailors the AI's actual communication tone 00:14:13.860 --> 00:14:16.460 to match your preference. Now, strategically. 00:14:17.309 --> 00:14:19.529 While custom instructions are great for consistency, 00:14:19.990 --> 00:14:23.350 a lot of power users actually prefer adding specific 00:14:23.350 --> 00:14:26.490 contexts on a case -by -case basis. It gives 00:14:26.490 --> 00:14:28.509 them more flexibility. So maybe not rely only 00:14:28.509 --> 00:14:30.889 on custom instructions. Yeah, I think the best 00:14:30.889 --> 00:14:33.570 solution is often a hybrid approach. Use custom 00:14:33.570 --> 00:14:35.750 instructions for your global preferences, like 00:14:35.750 --> 00:14:39.330 always speak formally, but then leverage the 00:14:39.330 --> 00:14:41.509 project's feature, which we'll get to soon, for 00:14:41.509 --> 00:14:44.990 specific recurring tasks or contexts. Okay, that 00:14:44.990 --> 00:14:47.509 makes sense. This leads to a really important 00:14:47.509 --> 00:14:51.090 question, though. How do we give the AI a memory 00:14:51.090 --> 00:14:53.830 so it's not starting from scratch every single 00:14:53.830 --> 00:14:58.210 day? Ah, yes. Memory. We move now to memory and 00:14:58.210 --> 00:15:01.250 context continuity. This is what transforms it 00:15:01.250 --> 00:15:03.870 from just a tool into more of a partner, one 00:15:03.870 --> 00:15:05.929 that actually remembers your conversations and 00:15:05.929 --> 00:15:08.690 preferences over time. How does that work? Well, 00:15:08.769 --> 00:15:10.929 there's an automatic memory system. If you enable 00:15:10.929 --> 00:15:14.269 it, ChatGPT sort of subconsciously saves relevant 00:15:14.269 --> 00:15:16.429 details from your chat. Subconsciously? Well, 00:15:16.549 --> 00:15:18.710 you know, behind the scenes. It identifies key 00:15:18.710 --> 00:15:21.269 details, project names, preferences you've mentioned, 00:15:21.590 --> 00:15:23.990 facts about you or your work. Then it applies 00:15:23.990 --> 00:15:26.649 them in future interactions. This creates really 00:15:26.649 --> 00:15:29.360 powerful continuity across sessions. like having 00:15:29.360 --> 00:15:31.179 a personal assistant who remembers your coffee 00:15:31.179 --> 00:15:33.639 order and you know your obscure pet peeves. It 00:15:33.639 --> 00:15:35.820 just makes interactions so much smoother. But 00:15:35.820 --> 00:15:38.620 do you have control over what it remembers? I 00:15:38.620 --> 00:15:40.659 might not want it remembering everything. Absolutely. 00:15:40.679 --> 00:15:42.600 You have conscious control. And this is vital. 00:15:42.899 --> 00:15:45.840 I still wrestle with prompt drift myself sometimes, 00:15:46.019 --> 00:15:49.039 where the AI kind of forgets the initial instructions 00:15:49.039 --> 00:15:52.059 in a long chat. So this memory control is key. 00:15:52.220 --> 00:15:55.080 The memory settings allow you to review, edit, 00:15:55.159 --> 00:15:58.139 and even delete stored memories. You manage exactly 00:15:58.139 --> 00:16:00.620 what the AI keeps track of. So you can prune 00:16:00.620 --> 00:16:03.120 it if needed. Exactly. It also has a deep archive. 00:16:03.799 --> 00:16:06.940 Basically, your chat history for broader, maybe 00:16:06.940 --> 00:16:10.500 less reliable long -term context. But that active 00:16:10.500 --> 00:16:13.259 managed memory is where the real magic of continuity 00:16:13.259 --> 00:16:17.120 happens. So how can you make ChatGPT consistently 00:16:17.120 --> 00:16:19.919 understand and remember your preferences? Use 00:16:19.919 --> 00:16:22.519 custom instructions, personality selection, and 00:16:22.519 --> 00:16:24.860 memory management tools together. We've talked 00:16:24.860 --> 00:16:27.059 about all these incredible text and data features, 00:16:27.139 --> 00:16:29.639 but I think the mobile app's real -time voice 00:16:29.639 --> 00:16:33.059 and vision capabilities are where ChatGPT truly 00:16:33.059 --> 00:16:34.519 feels like something out of science fiction. 00:16:34.679 --> 00:16:36.440 Oh, absolutely. It's not just understanding text 00:16:36.440 --> 00:16:38.620 anymore, is it? It's interacting with our world. 00:16:38.779 --> 00:16:40.740 That's exactly where it breaks out of the text 00:16:40.740 --> 00:16:43.440 box. That her experience. Remember the movie? 00:16:44.139 --> 00:16:46.019 Where you're just conversing naturally with an 00:16:46.019 --> 00:16:48.379 AI? Yeah. That's basically real now with voice 00:16:48.379 --> 00:16:51.340 mode. It enables this fluid, natural dialogue. 00:16:51.379 --> 00:16:53.779 The system actually responds to your emotional 00:16:53.779 --> 00:16:57.000 cues. It adapts its pace and style. It creates 00:16:57.000 --> 00:16:59.960 a remarkably human -like conversation. That's 00:16:59.960 --> 00:17:02.899 amazing. But the true all -seeing eye magic, 00:17:02.980 --> 00:17:05.299 as you might call it, happens when that mobile 00:17:05.299 --> 00:17:08.339 voice mode combines with camera access. That's 00:17:08.339 --> 00:17:11.160 for real -world problem solving. So you can literally 00:17:11.160 --> 00:17:13.970 show it a math equation on paper? Yep. Or point 00:17:13.970 --> 00:17:16.630 it at a food item for nutrition analysis. Or 00:17:16.630 --> 00:17:19.430 computer hardware. Exactly. Get step -by -step 00:17:19.430 --> 00:17:21.970 repair help just by showing it the parts. This 00:17:21.970 --> 00:17:24.849 seamless combination of voice and vision is incredibly 00:17:24.849 --> 00:17:27.569 powerful for on -the -spot assistance. Okay. 00:17:27.609 --> 00:17:29.670 And what about visual creation? It can generate 00:17:29.670 --> 00:17:32.210 images too, right? It does. And it's become quite 00:17:32.210 --> 00:17:34.650 sophisticated. It acts almost like your personal 00:17:34.650 --> 00:17:37.609 art director. Well, it excels at handling complex 00:17:37.609 --> 00:17:40.910 multi -element prompts with pretty high accuracy. 00:17:41.190 --> 00:17:44.529 You can specify positioning. styling, even ask 00:17:44.529 --> 00:17:46.990 for accurate text generation within the image, 00:17:47.210 --> 00:17:50.029 which used to be a big hurdle for AI image tools. 00:17:50.269 --> 00:17:52.490 What makes it different from other image generators? 00:17:52.710 --> 00:17:54.490 What's really groundbreaking here, I think, is 00:17:54.490 --> 00:17:57.490 the conversational and iterative refinement, 00:17:57.769 --> 00:18:00.470 meaning unlike a lot of other tools where you 00:18:00.470 --> 00:18:04.549 need a perfect, complex initial prompt with ChatGPT, 00:18:04.710 --> 00:18:07.009 you can just continue the conversation. You get 00:18:07.009 --> 00:18:09.650 an image and you can say, that's great, but now 00:18:09.650 --> 00:18:11.980 make the background brighter. Ah, so you refine 00:18:11.980 --> 00:18:14.960 it through dialogue. Exactly. Or change the text 00:18:14.960 --> 00:18:17.180 color to blue. Plus, you can upload a reference 00:18:17.180 --> 00:18:19.859 photo to guide the AI style, giving you even 00:18:19.859 --> 00:18:21.519 greater control. It's like showing it a mood 00:18:21.519 --> 00:18:24.480 board. So what makes ChatGPT's real -time voice, 00:18:24.720 --> 00:18:27.220 vision, and image features so groundbreaking? 00:18:27.519 --> 00:18:29.519 They allow natural conversational interaction 00:18:29.519 --> 00:18:31.880 and real -world problem solving through multiple 00:18:31.880 --> 00:18:35.339 senses. Okay, let's unpack organization. You 00:18:35.339 --> 00:18:37.960 can end up with hundreds of chats. How do you 00:18:37.960 --> 00:18:40.740 go from, you know, a chaotic mess of conversations 00:18:40.740 --> 00:18:43.380 to something more like a perfectly organized, 00:18:43.640 --> 00:18:46.779 intelligent filing cabinet? Right. Beyond the 00:18:46.779 --> 00:18:49.220 basic chat history search and renaming functions, 00:18:49.480 --> 00:18:52.059 which are helpful, the real game changer for 00:18:52.059 --> 00:18:54.940 organization, especially for paid users, is the 00:18:54.940 --> 00:18:57.680 projects feature. Projects. You mentioned this 00:18:57.680 --> 00:19:00.769 earlier. What is it exactly? Like folders. Think 00:19:00.769 --> 00:19:03.190 of them as intelligent folders, yeah. Each project 00:19:03.190 --> 00:19:06.650 has its own shared context, its own custom instructions, 00:19:06.829 --> 00:19:09.130 even its own set of reference files you can upload. 00:19:09.390 --> 00:19:12.289 Ah, so it eliminates that context loss between 00:19:12.289 --> 00:19:14.309 related conversations if they're in the same 00:19:14.309 --> 00:19:16.630 project. Precisely. You get a dedicated, specialized 00:19:16.630 --> 00:19:19.130 environment for each major work area or topic. 00:19:19.329 --> 00:19:21.710 No more confusing threads or lost context when 00:19:21.710 --> 00:19:23.930 you switch between, say, your marketing project 00:19:23.930 --> 00:19:26.150 and your product development project. That sounds 00:19:26.150 --> 00:19:28.390 incredibly useful for professional work. What 00:19:28.390 --> 00:19:31.180 about data? Next up, yeah, data analysis and 00:19:31.180 --> 00:19:34.240 visualization. ChatGPT basically transforms into 00:19:34.240 --> 00:19:36.900 your personal data scientist in a box. How capable 00:19:36.900 --> 00:19:40.339 is it? It handles diverse data formats, CSVs, 00:19:40.420 --> 00:19:42.900 spreadsheets, you name it. It can automatically 00:19:42.900 --> 00:19:45.660 create charts, find hidden patterns, and provide 00:19:45.660 --> 00:19:48.619 deep insights from your data. It's almost like 00:19:48.619 --> 00:19:52.799 a one -click dashboard builder. Yeah. You upload 00:19:52.799 --> 00:19:55.339 a data set, give it a simple command like, analyze 00:19:55.339 --> 00:19:57.920 this data set and give me five different useful 00:19:57.920 --> 00:20:00.259 visualizations of the data, and it just does 00:20:00.259 --> 00:20:02.839 it. Instantly reveals trends you might have missed. 00:20:02.960 --> 00:20:05.279 Any caveats? Well, for free users, the capabilities 00:20:05.279 --> 00:20:08.190 here are quite limited. It's primarily a paid 00:20:08.190 --> 00:20:10.309 tool if you plan on doing regular analytical 00:20:10.309 --> 00:20:12.650 work with it. Okay. Now this next one sounds 00:20:12.650 --> 00:20:15.549 really interesting. Custom GPTs. You call this 00:20:15.549 --> 00:20:19.680 your army of specialized tools. Yeah, that's 00:20:19.680 --> 00:20:21.900 the feeling. It's like you become a product manager 00:20:21.900 --> 00:20:25.059 for your own team of AI specialists. Okay, so 00:20:25.059 --> 00:20:28.099 first, there's the GPT store. It offers thousands 00:20:28.099 --> 00:20:30.960 of pre -built, specialized custom GPTs made by 00:20:30.960 --> 00:20:33.940 others. These things provide deep expertise in 00:20:33.940 --> 00:20:36.759 specific areas, anything from building automations 00:20:36.759 --> 00:20:39.400 to helping with video generation. So you can 00:20:39.400 --> 00:20:42.519 find tools for specific tasks. Right, and you 00:20:42.519 --> 00:20:44.299 don't even have to switch interfaces. You can 00:20:44.299 --> 00:20:46.759 just call in a specialist using an at mention 00:20:46.759 --> 00:20:49.440 right within your regular chat, like, at website 00:20:49.440 --> 00:20:52.019 builder, help me design a landing page. Wow. 00:20:52.140 --> 00:20:54.099 But here's where it gets really interesting for 00:20:54.099 --> 00:20:57.359 paid subscribers. You get your own Droid Factory. 00:20:58.059 --> 00:21:00.839 Droid factory? Yeah. You can create your own 00:21:00.839 --> 00:21:04.059 custom GPTs just by having a natural language 00:21:04.059 --> 00:21:06.779 conversation with the builder. You tell it what 00:21:06.779 --> 00:21:09.380 you want the GPT to do, what knowledge it should 00:21:09.380 --> 00:21:11.539 have, what capabilities. So you're basically 00:21:11.539 --> 00:21:14.579 programming an AI assistant using plain English. 00:21:14.880 --> 00:21:17.759 Exactly. This lets you build an army of specialized 00:21:17.759 --> 00:21:21.019 tools perfectly tailored for your recurring needs, 00:21:21.160 --> 00:21:23.960 your specific industry jargon, or your unique 00:21:23.960 --> 00:21:28.230 workflows. Whoa. Imagine scaling this idea. Building 00:21:28.230 --> 00:21:30.869 specialized agents for a billion different queries 00:21:30.869 --> 00:21:33.109 across every feel imaginable. It's kind of mind 00:21:33.109 --> 00:21:34.589 bending when you think about it. It really is. 00:21:34.730 --> 00:21:37.569 So how can users create and manage specialized 00:21:37.569 --> 00:21:41.450 AI tools for specific needs? Use projects for 00:21:41.450 --> 00:21:43.970 organization and custom GPTs to build specialized 00:21:43.970 --> 00:21:46.369 AI agents. Okay, now let's talk about bringing 00:21:46.369 --> 00:21:48.809 it all together. Advanced integration strategies. 00:21:49.450 --> 00:21:51.890 This sounds like going from playing one instrument 00:21:51.890 --> 00:21:55.089 to... conducting an entire orchestra that's a 00:21:55.089 --> 00:21:57.670 perfect analogy professional use of chat gpt 00:21:57.670 --> 00:22:00.549 real mastery is about combining all these features 00:22:00.549 --> 00:22:02.569 we've discussed into powerful interconnected 00:22:02.569 --> 00:22:07.269 processes this full sensor suite the text vision 00:22:07.269 --> 00:22:11.349 voice data analysis enables true cross -modal 00:22:11.349 --> 00:22:15.190 problem solving cross -modal Meaning using different 00:22:15.190 --> 00:22:17.769 types of input together. Exactly. Think about 00:22:17.769 --> 00:22:20.109 a real -world technical troubleshooting session. 00:22:20.349 --> 00:22:22.309 It might involve you photographing the problem 00:22:22.309 --> 00:22:24.670 with your phone, then describing the context 00:22:24.670 --> 00:22:27.750 verbally to the AI, maybe uploading some technical 00:22:27.750 --> 00:22:30.730 documentation, and then receiving back a visual 00:22:30.730 --> 00:22:33.390 step -by -step solution from the AI, maybe even 00:22:33.390 --> 00:22:35.970 with annotated images. That's cross -modal problem 00:22:35.970 --> 00:22:39.369 solving. The mastery path really requires systematic 00:22:39.369 --> 00:22:41.910 exploration. How so? You start with the prompting 00:22:41.910 --> 00:22:45.619 fundamentals. get those down, then layer on the 00:22:45.619 --> 00:22:49.019 multimodal capabilities, then implement organizational 00:22:49.019 --> 00:22:52.779 systems like projects, and finally build your 00:22:52.779 --> 00:22:56.279 custom tools with custom GPTs. This layering 00:22:56.279 --> 00:22:58.359 approach creates these compound productivity 00:22:58.359 --> 00:23:01.019 improvements over time. So what does this all 00:23:01.019 --> 00:23:03.140 really mean for business and professional applications? 00:23:03.420 --> 00:23:05.299 It sounds like it could upgrade a whole company's 00:23:05.299 --> 00:23:07.720 operating system. It absolutely can. Professional 00:23:07.720 --> 00:23:09.960 usage isn't just about occasional assistance. 00:23:10.200 --> 00:23:13.339 It's a fundamental shift towards systematic workflow 00:23:13.339 --> 00:23:16.039 enhancement. What does successful integration 00:23:16.039 --> 00:23:18.700 look like in a business context? It requires 00:23:18.700 --> 00:23:21.640 first identifying those high value use cases 00:23:21.640 --> 00:23:24.119 where AI can make the biggest difference. Then 00:23:24.119 --> 00:23:26.599 developing consistent prompting approaches, maybe 00:23:26.599 --> 00:23:29.720 using RISCO for key processes. Then creating 00:23:29.720 --> 00:23:31.859 organized projects for different business functions 00:23:31.859 --> 00:23:33.920 like marketing or sales. And getting the team 00:23:33.920 --> 00:23:36.180 involved. Critically important. This fosters 00:23:36.180 --> 00:23:39.140 what you might call a team flywheel. Team flywheel. 00:23:39.299 --> 00:23:41.559 Yeah, it's a self -reinforcing cycle. The whole 00:23:41.559 --> 00:23:44.740 team starts using and sharing these. these custom 00:23:44.740 --> 00:23:49.180 GPTs they build, and it leads to massive collective 00:23:49.180 --> 00:23:51.880 productivity gains. But, and this is crucial, 00:23:52.079 --> 00:23:55.019 you must track the business impact. How? Maybe 00:23:55.019 --> 00:23:57.960 set up an ROI dashboard, measure time saved, 00:23:58.200 --> 00:24:00.700 improvements in quality, new capabilities unlocked. 00:24:01.039 --> 00:24:03.900 You need to quantify the value. So what's the 00:24:03.900 --> 00:24:07.119 ultimate goal for integrating AI into... Business 00:24:07.119 --> 00:24:09.680 workflows. Systematic integration. Creating a 00:24:09.680 --> 00:24:12.400 team flywheel for measurable productivity gains. 00:24:12.619 --> 00:24:14.640 Okay, let's reflect on this whole journey. It 00:24:14.640 --> 00:24:17.059 sounds like mastering ChatGPT isn't really a 00:24:17.059 --> 00:24:19.220 one -time event, is it? It's more continuous. 00:24:19.759 --> 00:24:22.220 Absolutely. You really have to adopt the mindset 00:24:22.220 --> 00:24:24.859 of a lifelong student here. The technology evolves 00:24:24.859 --> 00:24:27.740 so quickly. So the path to mastery. It's ongoing. 00:24:27.940 --> 00:24:29.839 It follows a predictable progression, though. 00:24:29.920 --> 00:24:31.920 Think of it like a martial art belt system, maybe. 00:24:32.039 --> 00:24:35.160 Each new capability you master prompting, multimodal, 00:24:35.160 --> 00:24:38.279 organization, customization, builds on the previous 00:24:38.279 --> 00:24:40.460 skills. Creating that compound improvement you 00:24:40.460 --> 00:24:43.190 mentioned. Exactly. Compound improvement in both 00:24:43.190 --> 00:24:45.730 efficiency and the quality of your output. Right. 00:24:45.869 --> 00:24:48.109 And because the world of AI changes so fast, 00:24:48.309 --> 00:24:51.170 you need a process. A process for what? For keeping 00:24:51.170 --> 00:24:53.809 up, following official updates, experimenting 00:24:53.809 --> 00:24:56.730 with new features as soon as they drop, constantly 00:24:56.730 --> 00:24:58.990 refining your existing workflows and your prompts. 00:24:59.210 --> 00:25:01.569 This ensures you maintain continuous productivity 00:25:01.569 --> 00:25:04.759 growth. You stay ahead of the curve. So what 00:25:04.759 --> 00:25:06.440 does this all mean if you had to give a final 00:25:06.440 --> 00:25:08.180 word on this? I think the final word is this. 00:25:08.339 --> 00:25:11.799 The future of AI interaction is deeply conversational. 00:25:12.099 --> 00:25:15.619 It's multimodal using all senses. And it's going 00:25:15.619 --> 00:25:18.420 to be deeply integrated into our daily workflows, 00:25:18.619 --> 00:25:21.660 almost invisibly sometimes. Mastering a tool 00:25:21.660 --> 00:25:24.059 like ChatGPT today isn't just about learning 00:25:24.059 --> 00:25:26.859 random tricks and tips. It's about systematically 00:25:26.859 --> 00:25:29.940 exploring its full range of capabilities. A structured 00:25:29.940 --> 00:25:32.480 approach. Yes. Developing a structured approach, 00:25:32.579 --> 00:25:35.259 maybe accessing some... training resources, participating 00:25:35.259 --> 00:25:38.059 in community discussions to see how others are 00:25:38.059 --> 00:25:40.220 using it that will accelerate your skill development 00:25:40.220 --> 00:25:43.099 dramatically. And the payoff? The time you invest 00:25:43.099 --> 00:25:46.079 now in learning this complete system, it will 00:25:46.079 --> 00:25:49.140 significantly boost your productivity, sharpen 00:25:49.140 --> 00:25:51.740 your decisions, and spark new creative ideas 00:25:51.740 --> 00:25:53.960 in pretty much all parts of your work in life. 00:25:54.519 --> 00:25:57.440 This deep dive hopefully serves as your blueprint 00:25:57.440 --> 00:25:59.640 for unlocking that next level of performance. 00:26:00.119 --> 00:26:03.480 Okay, so wrapping up today. We've covered that 00:26:03.480 --> 00:26:06.619 journey from being a beginner using ChatGPT kind 00:26:06.619 --> 00:26:09.000 of stuck in first gear to becoming an advanced 00:26:09.000 --> 00:26:11.380 user, someone really leveraging its full potential. 00:26:12.359 --> 00:26:14.859 We've seen how precise prompting these multimodal 00:26:14.859 --> 00:26:16.779 features, the advanced reasoning, and all the 00:26:16.779 --> 00:26:19.839 personalized tools can transform AI into a truly 00:26:19.839 --> 00:26:22.640 powerful partner. Yeah, the big idea really is 00:26:22.640 --> 00:26:24.720 that mastery comes from that systematic approach. 00:26:25.119 --> 00:26:27.400 Understanding the foundational elements first, 00:26:27.579 --> 00:26:29.960 then layering on the advanced capabilities, and 00:26:29.960 --> 00:26:32.240 finally integrating them thoughtfully, deliberately 00:26:32.240 --> 00:26:34.839 into your personal and professional workflows. 00:26:35.160 --> 00:26:38.279 It's a process. This deep dive into Chet GPT 00:26:38.279 --> 00:26:41.000 -5 really shows us that the line between human 00:26:41.000 --> 00:26:44.759 intention and AI execution, it's blurring. It's 00:26:44.759 --> 00:26:46.920 getting finer and finer. It really is. And that's 00:26:46.920 --> 00:26:48.519 opening up some incredible new possibilities. 00:26:49.210 --> 00:26:51.089 It makes you wonder, doesn't it? Consider this. 00:26:51.549 --> 00:26:54.630 As AI becomes even more deeply integrated into 00:26:54.630 --> 00:26:58.029 how we create, how we solve problems, how will 00:26:58.029 --> 00:27:00.910 our own decision -making processes, our own ingenuity 00:27:00.910 --> 00:27:04.109 evolve? What happens when we have a supercharged 00:27:04.109 --> 00:27:06.710 brain literally at our fingertips all the time? 00:27:06.869 --> 00:27:10.750 What new forms of human AI collaboration or creativity 00:27:10.750 --> 00:27:13.569 or even problem solving might emerge from that? 00:27:13.630 --> 00:27:15.589 It's fascinating to think about. It really is. 00:27:15.730 --> 00:27:17.829 Well, we hope this deep dive has given you listening 00:27:17.829 --> 00:27:20.269 a clear... blueprint, or at least a starting 00:27:20.269 --> 00:27:22.250 point for unlocking a new level of performance 00:27:22.250 --> 00:27:24.430 with these tools. Yeah. Thank you for joining 00:27:24.430 --> 00:27:26.450 us on this exploration today. Until next time, 00:27:26.450 --> 00:27:27.349 keep jiving deep.