WEBVTT 00:00:00.000 --> 00:00:02.299 Welcome to the deep dive, where we cut through 00:00:02.299 --> 00:00:04.459 the noise and get you straight to the insights. 00:00:04.780 --> 00:00:07.299 You know that feeling, right? When every powerful 00:00:07.299 --> 00:00:10.320 new tool seems to come with, well, an ever -increasing 00:00:10.320 --> 00:00:12.839 price tag, and you're just drowning in information, 00:00:12.839 --> 00:00:15.500 constantly trying to keep up, well, what if a 00:00:15.500 --> 00:00:18.059 major tech giant decided to do something profoundly 00:00:18.059 --> 00:00:21.320 different? Instead of pushing up prices, Google 00:00:21.320 --> 00:00:24.539 is making some incredibly powerful, premium -level 00:00:24.539 --> 00:00:28.510 AI tools available. to everyone for free. OK, 00:00:28.670 --> 00:00:30.289 let's unpack this. Yeah. And this is the thing, 00:00:30.390 --> 00:00:32.850 right? The real insight here, what's truly significant, 00:00:32.969 --> 00:00:35.409 isn't just about free stuff. Google isn't just 00:00:35.409 --> 00:00:38.289 democratizing access. They're really catalyzing 00:00:38.289 --> 00:00:41.289 a fundamental shift. A shift how? Well, AI is 00:00:41.289 --> 00:00:44.259 moving from being this, like, paid luxury, something 00:00:44.259 --> 00:00:47.359 reserved for big budgets, you know, to becoming 00:00:47.359 --> 00:00:50.039 a truly ubiquitous utility like electricity or 00:00:50.039 --> 00:00:52.960 the internet. And importantly, these aren't stripped 00:00:52.960 --> 00:00:55.939 down basic versions. We're talking about a full 00:00:55.939 --> 00:00:59.060 -fledged ecosystem designed to rival and honestly, 00:00:59.340 --> 00:01:02.799 in many cases, surpass premium paid services. 00:01:03.000 --> 00:01:05.140 So yeah. this deep dive. It's basically going 00:01:05.140 --> 00:01:07.799 to be your roadmap. We'll help you understand 00:01:07.799 --> 00:01:10.219 how a whole suite of these Google Gemini features 00:01:10.219 --> 00:01:13.500 can fundamentally redefine how you work, how 00:01:13.500 --> 00:01:16.079 you create. So our mission today is pretty clear 00:01:16.079 --> 00:01:18.500 then. We want to show you how these tools can 00:01:18.500 --> 00:01:20.840 redefine your productivity, really boost your 00:01:20.840 --> 00:01:23.760 creativity, and maybe even accelerate your professional 00:01:23.760 --> 00:01:26.799 growth. Exactly. The goal is to make you genuinely 00:01:26.799 --> 00:01:29.819 well -informed and, let's be honest, give you 00:01:29.819 --> 00:01:32.900 what we like to call an unfair advantage. That 00:01:32.900 --> 00:01:36.060 edge. All without that recurring monthly subscription 00:01:36.060 --> 00:01:38.500 fee hitting your bank account. That's the key. 00:01:38.719 --> 00:01:41.760 So let's start with a concept that almost feels 00:01:41.760 --> 00:01:44.879 like science fiction, really. AI that truly adapts 00:01:44.879 --> 00:01:47.319 to you, not the other way around. What are some 00:01:47.319 --> 00:01:49.319 of the foundational features that actually make 00:01:49.319 --> 00:01:51.670 this kind of personalization possible? Okay, 00:01:51.829 --> 00:01:54.189 yeah, this brings us directly to two key features, 00:01:54.689 --> 00:01:57.849 gems and memory. These two are absolutely foundational 00:01:57.849 --> 00:02:00.849 because they tackle that core problem of AI being 00:02:00.849 --> 00:02:03.030 too generic, right? They let you actually sculpt 00:02:03.030 --> 00:02:06.090 the AI to your specific needs and crucially ensure 00:02:06.090 --> 00:02:08.610 it remembers your context. Okay, tell me more 00:02:08.610 --> 00:02:10.969 about gems because that sounds like a real game 00:02:10.969 --> 00:02:13.990 changer, creating truly specialized AI. Yeah, 00:02:14.090 --> 00:02:16.990 think of gems like this. You're crafting your 00:02:16.990 --> 00:02:20.509 very own dedicated team of specialist AI employees, 00:02:21.270 --> 00:02:23.830 which used to be something only accessible on 00:02:23.830 --> 00:02:26.650 these incredibly expensive paid platforms. But 00:02:26.650 --> 00:02:29.729 the process here is remarkable simple. You just 00:02:29.729 --> 00:02:33.250 access Gemini, select Explore Gems, then New 00:02:33.250 --> 00:02:35.389 Gem, and then you just give your assistant a 00:02:35.389 --> 00:02:37.270 name and it's score instruction. That's basically 00:02:37.270 --> 00:02:39.509 it to get started. And then it just learns. How 00:02:39.509 --> 00:02:42.229 do you really build up a deep knowledge base 00:02:42.229 --> 00:02:44.349 for one of these gems? So it's not just following 00:02:44.349 --> 00:02:47.099 a simple Right. That's where you feed it information. 00:02:47.259 --> 00:02:49.219 You can build a really robust knowledge base 00:02:49.219 --> 00:02:52.379 by uploading up to 10 source files. Think PDFs, 00:02:52.539 --> 00:02:54.539 text documents, research papers, whatever is 00:02:54.539 --> 00:02:57.560 relevant. You're essentially creating a curated 00:02:57.560 --> 00:03:01.800 private library just for that AI gem. And that's 00:03:01.800 --> 00:03:03.939 where the magic of hyper specialization truly 00:03:03.939 --> 00:03:06.419 happens. It learns from your stuff. I can absolutely 00:03:06.419 --> 00:03:09.000 see the power in that. So building on that, let's 00:03:09.000 --> 00:03:11.319 think about a practical application. How might 00:03:11.319 --> 00:03:16.060 someone leverage this to create, say, a Socratic 00:03:16.060 --> 00:03:18.620 tutor gem. That sounds interesting. Oh, a Socratic 00:03:18.620 --> 00:03:20.879 tutor gem is a perfect example. You'd name it 00:03:20.879 --> 00:03:24.000 something like Socratic Scholar, right? And its 00:03:24.000 --> 00:03:26.340 instruction would be something like, you are 00:03:26.340 --> 00:03:28.819 a Socratic tutor. When I ask a question about 00:03:28.819 --> 00:03:31.199 a complex topic from the provided documents, 00:03:31.800 --> 00:03:33.840 do not just give me the answer directly. OK. 00:03:34.180 --> 00:03:36.620 Instead, ask me thought -provoking questions 00:03:36.620 --> 00:03:39.039 that guide me to discover the answer for myself. 00:03:39.500 --> 00:03:42.039 Help me break down the problem and connect the 00:03:42.039 --> 00:03:45.599 concepts. Clever. Yeah. So imagine uploading, 00:03:45.599 --> 00:03:48.099 I don't know, academic papers on quantum physics 00:03:48.099 --> 00:03:51.639 or maybe philosophy. The gem then actively guides 00:03:51.639 --> 00:03:53.500 your understanding. It helps you strengthen your 00:03:53.500 --> 00:03:55.199 critical thinking skills instead of just, you 00:03:55.199 --> 00:03:57.300 know, spoon feeding you answers. It's a totally 00:03:57.300 --> 00:03:59.400 different way to learn. That is really different. 00:03:59.840 --> 00:04:03.699 Or on the creative side, maybe. What about a 00:04:03.699 --> 00:04:06.120 content repurposing gem? Because that's a common 00:04:06.120 --> 00:04:08.659 pain point for, well, almost everyone creating 00:04:08.659 --> 00:04:11.840 content. Oh absolutely, huge time saver. You 00:04:11.840 --> 00:04:14.360 could call it content transformer maybe. Its 00:04:14.360 --> 00:04:17.279 instruction would be... You are an expert content 00:04:17.279 --> 00:04:20.300 strategist. When I provide a piece of long form 00:04:20.300 --> 00:04:23.060 content, like a blog post or a transcript, your 00:04:23.060 --> 00:04:25.579 job is to break it down into multiple formats. 00:04:25.779 --> 00:04:28.879 Like what? Like five key takeaways for a Twitter 00:04:28.879 --> 00:04:32.079 thread, a concise summary for a LinkedIn post, 00:04:32.199 --> 00:04:35.259 maybe a script for a 60 second TikTok video, 00:04:35.480 --> 00:04:40.100 and a short email newsletter blurb. Wow. So now 00:04:40.100 --> 00:04:43.199 you upload one single research report and this 00:04:43.199 --> 00:04:45.730 gem automatically generates like a week's worth 00:04:45.730 --> 00:04:48.110 of social media content. OK. That is massive 00:04:48.110 --> 00:04:50.589 efficiency. Right. And what if your AI could 00:04:50.589 --> 00:04:53.009 not only specialize like that, but also remember 00:04:53.009 --> 00:04:55.829 stuff? This brings us to Gemini's memory feature, 00:04:55.889 --> 00:04:59.550 which sounds like it finally shatters that amnesia 00:04:59.550 --> 00:05:02.050 that's so common with most AIs. Truly building 00:05:02.050 --> 00:05:03.689 a long -term partnership with you. How does this 00:05:03.689 --> 00:05:05.829 actually work in practice? It's actually incredibly 00:05:05.829 --> 00:05:08.029 intuitive. You simply tell Gemini what you want 00:05:08.029 --> 00:05:10.430 it to remember. Use natural language, just like 00:05:10.430 --> 00:05:12.209 you talk to a human assistant. Really, just tell 00:05:12.209 --> 00:05:14.439 it. Yeah. And of course, you have full control. 00:05:14.540 --> 00:05:16.459 You can always edit or delete this information 00:05:16.459 --> 00:05:20.040 in your settings anytime you want. So wait, no 00:05:20.040 --> 00:05:22.019 more re -explaining your context in every single 00:05:22.019 --> 00:05:24.699 new chat? Jam and I could just know things like 00:05:24.699 --> 00:05:27.839 your job title, your main projects, your communication 00:05:27.839 --> 00:05:30.819 style, maybe your key goals. Exactly. That really 00:05:30.819 --> 00:05:33.540 redefines personalization, doesn't it? I imagine 00:05:33.540 --> 00:05:35.899 it might take some getting used to, though, having 00:05:35.899 --> 00:05:39.399 an AI that sort of anticipates your needs. Are 00:05:39.399 --> 00:05:42.000 there any initial hurdles people might face? 00:05:42.220 --> 00:05:44.639 That's a really good question. I think the biggest 00:05:44.639 --> 00:05:47.220 initial hurdle is simply remembering to tell 00:05:47.220 --> 00:05:49.300 Gemini things you want it to remember. You have 00:05:49.300 --> 00:05:52.490 to build that habit. But once you do... The strategic 00:05:52.490 --> 00:05:54.990 implication is profound. It's just a massive 00:05:54.990 --> 00:05:57.050 efficiency gain over time. Because you're not 00:05:57.050 --> 00:05:59.949 repeating yourself. Precisely. The more it remembers, 00:06:00.250 --> 00:06:03.290 the more tailored and, frankly, effective its 00:06:03.290 --> 00:06:05.990 responses become. It starts to anticipate your 00:06:05.990 --> 00:06:08.509 needs, framing answers in a way that truly resonates 00:06:08.509 --> 00:06:10.529 with your preferences, rather than just giving 00:06:10.529 --> 00:06:14.089 generic, bland responses. Can you give an example? 00:06:14.370 --> 00:06:16.629 Sure. Like, you could initially set it up by 00:06:16.629 --> 00:06:19.089 saying something like, save to memory, I am the 00:06:19.089 --> 00:06:21.230 founder of a startup creating sustainable packages. 00:06:21.069 --> 00:06:25.550 Our brand voice is optimistic, educational and 00:06:25.550 --> 00:06:28.290 slightly informal. I need all marketing copy 00:06:28.290 --> 00:06:31.569 to reflect this tone. My primary goal is to increase 00:06:31.569 --> 00:06:33.870 brand awareness among eco -conscious consumers 00:06:33.870 --> 00:06:37.339 aged 25 -40. Quite specific. Right. You give 00:06:37.339 --> 00:06:39.600 it that context. And then later, maybe weeks 00:06:39.600 --> 00:06:41.699 later, you just prompt it with something simple 00:06:41.699 --> 00:06:43.779 like, hey, help me brainstorm ideas for an Earth 00:06:43.779 --> 00:06:45.980 Day campaign. Exactly. And instead of getting 00:06:45.980 --> 00:06:48.800 generic Earth Day ideas, Gemini provides tailored 00:06:48.800 --> 00:06:51.800 concepts. Concepts based on your remembered mission, 00:06:52.360 --> 00:06:54.899 your target demographic, and that specific brand 00:06:54.899 --> 00:06:56.839 voice you told it about. That sounds like actual 00:06:56.839 --> 00:06:59.629 collaboration, not just a tool. but a partner. 00:06:59.750 --> 00:07:02.050 That's the goal. OK, so we've personalized our 00:07:02.050 --> 00:07:04.790 AI collaborator with gems and memory. But even 00:07:04.790 --> 00:07:07.529 with a perfectly tailored assistant, the biggest 00:07:07.529 --> 00:07:11.370 battle for so many of us is still just information 00:07:11.370 --> 00:07:13.290 overload, right? Oh, definitely. How do we turn 00:07:13.290 --> 00:07:16.209 all that chaotic data flying around into clear, 00:07:16.490 --> 00:07:19.449 actionable intelligence? These next tools sound 00:07:19.449 --> 00:07:21.509 like they could be the secret weapon. Exactly. 00:07:21.949 --> 00:07:24.600 First up, let's talk about deep research. Now, 00:07:24.620 --> 00:07:26.860 this isn't just a minor search upgrade. It basically 00:07:26.860 --> 00:07:29.600 democratizes the kind of high -level competitive 00:07:29.600 --> 00:07:32.060 intelligence that, you know, used to be reserved 00:07:32.060 --> 00:07:35.519 for large corporations with dedicated research 00:07:35.519 --> 00:07:38.579 teams. Oh. It's like having a whole team of junior 00:07:38.579 --> 00:07:41.079 analysts ready at your beck and call, two, four, 00:07:41.079 --> 00:07:43.680 seven. It goes way, way beyond a simple Google 00:07:43.680 --> 00:07:46.160 search. See, when you trigger a deep research 00:07:46.160 --> 00:07:49.579 query, Gemini actually builds a multi -step research 00:07:49.579 --> 00:07:52.759 plan automatically. A plan. Yeah. Then it queries 00:07:52.759 --> 00:07:54.860 multiple... advanced search verticals, not just 00:07:54.860 --> 00:07:57.079 the web, but potentially academic papers, news 00:07:57.079 --> 00:07:59.199 archives, things like that. It identifies key 00:07:59.199 --> 00:08:01.939 themes, it synthesizes conflicting data points, 00:08:02.259 --> 00:08:04.399 and then presents it all back to you in a coherent, 00:08:04.579 --> 00:08:08.160 cited report. Wow, okay. So if you were, say, 00:08:08.579 --> 00:08:10.579 a small business owner or maybe an individual 00:08:10.579 --> 00:08:12.600 consultant needing to understand your market 00:08:12.600 --> 00:08:16.180 better, you could potentially say something like... 00:08:16.459 --> 00:08:19.500 Conduct a deep research analysis of the top three 00:08:19.500 --> 00:08:22.339 competitors to Notion in the productivity software 00:08:22.339 --> 00:08:25.620 space. Focus on their pricing models, their primary 00:08:25.620 --> 00:08:29.839 value propositions, target audiences, and any 00:08:29.839 --> 00:08:32.000 recent feature releases from the last 12 months. 00:08:32.379 --> 00:08:34.620 And present the findings in a comparative table. 00:08:34.899 --> 00:08:37.559 Exactly, that kind of query. And the output isn't 00:08:37.559 --> 00:08:40.419 just a messy list of links you have to sift through. 00:08:40.539 --> 00:08:43.159 You receive a detailed report. It'll have sections 00:08:43.159 --> 00:08:45.179 for each competitor, probably a market trend 00:08:45.179 --> 00:08:47.659 summary. that final comparison table you asked 00:08:47.659 --> 00:08:49.480 for. And citations. All with sources linked, 00:08:49.679 --> 00:08:51.759 yeah. So you can verify everything. This means 00:08:51.759 --> 00:08:54.039 individual creators and small businesses can 00:08:54.039 --> 00:08:56.460 now conduct market analysis with a depth that 00:08:56.460 --> 00:08:58.940 honestly fundamentally levels the playing field. 00:08:59.299 --> 00:09:03.259 That is huge. Okay, next up, Notebook LM. This 00:09:03.259 --> 00:09:05.200 one sounds really transformative, especially 00:09:05.200 --> 00:09:07.659 for anyone dealing with stacks of documents, 00:09:07.899 --> 00:09:10.100 researchers, students, lawyers. You're saying 00:09:10.100 --> 00:09:13.500 it turns your static documents... PDFs, Google 00:09:13.500 --> 00:09:17.259 Docs, text files, even web URLs into an interactive, 00:09:17.720 --> 00:09:20.600 intelligent knowledge base. Yeah, the workflow 00:09:20.600 --> 00:09:22.840 here is incredibly powerful. You just create 00:09:22.840 --> 00:09:24.799 a notebook, then you upload your sources. And 00:09:24.799 --> 00:09:26.860 these sources could be anything, right? Client 00:09:26.860 --> 00:09:29.480 briefs, user feedback surveys, legal contracts, 00:09:30.120 --> 00:09:33.019 dense scientific papers, whatever you're working 00:09:33.019 --> 00:09:35.570 with. OK. And then what happens? Well, Notebook 00:09:35.570 --> 00:09:37.850 LM automatically generates summaries of all your 00:09:37.850 --> 00:09:39.470 docuips, which is helpful right off the bat. 00:09:39.929 --> 00:09:42.230 But the real power is that you can ask questions 00:09:42.230 --> 00:09:44.509 directly to your sources. Asking questions to 00:09:44.509 --> 00:09:46.970 documents. Exactly. And it won't just find keywords 00:09:46.970 --> 00:09:49.730 like a simple serial L plus F search. It will 00:09:49.730 --> 00:09:51.809 actually synthesize answers from across multiple 00:09:51.809 --> 00:09:54.909 documents if needed. Synthesize, meaning it combines 00:09:54.909 --> 00:09:57.509 information. Yeah, yes. It connects the dots 00:09:57.509 --> 00:10:00.279 for you. Plus, there are features like Timeline 00:10:00.279 --> 00:10:02.779 View, which can automatically create a chronology 00:10:02.779 --> 00:10:05.799 of events mentioned within your documents, or 00:10:05.799 --> 00:10:08.039 Briefing Doc, which generates a comprehensive 00:10:08.039 --> 00:10:11.000 summary of all your sources with just a single 00:10:11.000 --> 00:10:13.720 click. Let's talk about an advanced use case. 00:10:14.100 --> 00:10:17.259 That lawyer example is compelling. Right. Imagine 00:10:17.259 --> 00:10:19.840 a lawyer uploads dozens of case files, maybe 00:10:19.840 --> 00:10:23.019 some legal precedents, into a notebook, LM notebook. 00:10:23.580 --> 00:10:25.620 They could then ask a complex question like, 00:10:25.769 --> 00:10:28.690 What is the main legal precedent regarding intellectual 00:10:28.690 --> 00:10:30.750 property mentioned across all these case files, 00:10:31.110 --> 00:10:32.909 and how does it potentially conflict with the 00:10:32.909 --> 00:10:35.389 arguments presented in this specific uploaded 00:10:35.389 --> 00:10:38.190 Smith vs. Jones's document? Okay, that's a complex 00:10:38.190 --> 00:10:40.789 question. It is, and Notebook LM wouldn't just 00:10:40.789 --> 00:10:43.110 point to mentions, it would provide a synthesized 00:10:43.110 --> 00:10:45.730 answer, explaining the precedent and the conflict, 00:10:46.070 --> 00:10:48.450 complete with citations pointing to the exact 00:10:48.450 --> 00:10:50.610 pages in the relevant source documents. I could 00:10:50.610 --> 00:10:54.090 say... literally days, maybe weeks of manual 00:10:54.090 --> 00:10:56.070 work. Absolutely. It's transformative for knowledge 00:10:56.070 --> 00:10:58.649 workers. So after all that deep research and 00:10:58.649 --> 00:11:00.970 knowledge building, you're left with this rich 00:11:00.970 --> 00:11:04.250 tapestry of information, right? But sometimes 00:11:04.250 --> 00:11:06.990 just reading isn't enough for retention, is it? 00:11:07.549 --> 00:11:10.389 What's the next frontier for actually consuming 00:11:10.389 --> 00:11:12.429 and remembering this knowledge? Well, this brings 00:11:12.429 --> 00:11:15.549 us neatly to the from text to audio feature. 00:11:15.769 --> 00:11:17.610 It's pretty cool. After you've done your research 00:11:17.610 --> 00:11:19.710 in Gemini and maybe used deep research or just 00:11:19.710 --> 00:11:22.490 had a chat, you can ask it to generate an audio 00:11:22.490 --> 00:11:24.549 summary. Like a text -to -speech thing. It's 00:11:24.549 --> 00:11:27.529 actually more than simple text -to -speech. Gemini 00:11:27.529 --> 00:11:30.309 creates a sort of conversational podcast. It 00:11:30.309 --> 00:11:33.210 uses two distinct AI voices that discuss the 00:11:33.210 --> 00:11:35.490 summary. Two voices, like a mini -show. Exactly. 00:11:35.730 --> 00:11:37.990 Which makes the information far more engaging 00:11:37.990 --> 00:11:40.629 and, frankly, easier to retain for many people. 00:11:40.789 --> 00:11:43.049 Auditory learning, right? Yeah, definitely. Plus, 00:11:43.230 --> 00:11:45.149 you do have the option to export that generated 00:11:45.149 --> 00:11:47.769 text to other specialized tools, like, say, 11 00:11:47.769 --> 00:11:50.470 labs, if you want even more control over the 00:11:50.470 --> 00:11:52.909 voice style and customization. So practical uses. 00:11:53.240 --> 00:11:55.659 You could maybe convert your company's internal 00:11:55.659 --> 00:11:59.659 FAQ document into a short, listenable podcast 00:11:59.659 --> 00:12:03.620 for new hires. Perfect example. Or turn a really 00:12:03.620 --> 00:12:06.179 dense technical blog post into an accessible 00:12:06.179 --> 00:12:08.480 audio version for your community or customers. 00:12:08.799 --> 00:12:11.600 It really bridges that gap between written text 00:12:11.600 --> 00:12:14.700 and auditory learning. Makes complex info more 00:12:14.700 --> 00:12:17.860 approachable. Precisely. Okay, now let's shift 00:12:17.860 --> 00:12:20.879 gears a bit. Let's dive into something that Honestly 00:12:20.879 --> 00:12:24.240 used to be the exclusive domain of coders. Yeah 00:12:24.240 --> 00:12:27.080 software developers. Yeah actually creating software 00:12:27.080 --> 00:12:29.740 We're talking about the no code revolution and 00:12:29.740 --> 00:12:31.639 it sounds like Google is really leading the charge 00:12:31.639 --> 00:12:33.679 here allowing you to build functional applications 00:12:34.000 --> 00:12:36.460 even if you've never written a single line of 00:12:36.460 --> 00:12:39.000 code. That's absolutely right. And Google offers 00:12:39.000 --> 00:12:41.200 a whole spectrum of tools for this, depending 00:12:41.200 --> 00:12:43.639 on what you need, from quick visuals all the 00:12:43.639 --> 00:12:45.639 way to deployable products. You've got Canvas 00:12:45.639 --> 00:12:48.519 for starters. Think of it as your digital whiteboard, 00:12:48.639 --> 00:12:52.039 but with AI superpowers for design. OK. So after 00:12:52.039 --> 00:12:54.120 doing some research, you could ask Gemini something 00:12:54.120 --> 00:12:56.960 like, create an interactive infographic summarizing 00:12:56.960 --> 00:12:59.720 these key findings, or maybe build a simple web 00:12:59.720 --> 00:13:02.440 tool to visualize this data. So quick visualizations. 00:13:02.669 --> 00:13:04.850 Exactly. It's perfect for things like internal 00:13:04.850 --> 00:13:07.149 dashboards, visual reports for presentations, 00:13:07.610 --> 00:13:10.409 or quickly mocking up clickable prototypes to 00:13:10.409 --> 00:13:12.769 share ideas with your team or a client. But what 00:13:12.769 --> 00:13:14.990 if your idea is more complex, something with 00:13:14.990 --> 00:13:18.110 multiple pages or user interactions like a real 00:13:18.110 --> 00:13:21.110 app? Right. For those more structured, complex 00:13:21.110 --> 00:13:23.870 ideas, that's where AI Studio Build comes into 00:13:23.870 --> 00:13:26.570 play. You actually go to Google AI Studio and 00:13:26.570 --> 00:13:29.250 you paste in a detailed prompt. You describe 00:13:29.250 --> 00:13:31.730 your app's functionality, the user flow, maybe 00:13:31.730 --> 00:13:34.629 some design ideas. And AI Studio will actually 00:13:34.629 --> 00:13:37.470 generate a complete multi -file project for you 00:13:37.470 --> 00:13:41.350 with organized HTML, CSS, and JavaScript code. 00:13:41.409 --> 00:13:45.149 Wait, actual code files? Yes, like a proper project 00:13:45.149 --> 00:13:46.809 structure. For instance, you could prompt it 00:13:46.809 --> 00:13:48.899 with something like build a project management 00:13:48.899 --> 00:13:51.419 web app. OK, classic example. It needs a login 00:13:51.419 --> 00:13:53.940 page, a dashboard view with a Kanban board. You 00:13:53.940 --> 00:13:56.259 know, those visual columns. To do, in progress, 00:13:56.539 --> 00:13:59.460 done. Helps you track tasks visually. Yeah, yeah, 00:13:59.620 --> 00:14:01.960 Kanban. And the ability to create new tasks with 00:14:01.960 --> 00:14:04.759 titles, descriptions, and due dates. Oh, and 00:14:04.759 --> 00:14:07.279 tasks should be draggable between columns. That's 00:14:07.279 --> 00:14:10.429 incredibly specific. And it just... builds that. 00:14:10.450 --> 00:14:12.529 It generates a code base for it. You'll likely 00:14:12.529 --> 00:14:14.730 need to refine it, but it gives you a massive 00:14:14.730 --> 00:14:16.350 head start. That's amazing. So you're getting 00:14:16.350 --> 00:14:19.049 actual structured code ready to be worked on. 00:14:19.330 --> 00:14:22.110 But what if you just want to quickly test a core 00:14:22.110 --> 00:14:24.649 idea, like that fail fast approach people talk 00:14:24.649 --> 00:14:27.450 about? Yeah, for a rapid idea validation, there's 00:14:27.450 --> 00:14:30.940 another tool called Gemini Diffusion. This is 00:14:30.940 --> 00:14:33.620 probably the fastest method. It generates a functional 00:14:33.620 --> 00:14:37.379 app, though maybe less polished visually in seconds. 00:14:37.440 --> 00:14:40.019 Seconds. Pretty much. It's ideal for quickly 00:14:40.019 --> 00:14:42.879 testing the core logic of multiple app ideas 00:14:42.879 --> 00:14:46.179 in, say, an afternoon without investing a ton 00:14:46.179 --> 00:14:49.299 of time in each one. You can see what works conceptually 00:14:49.299 --> 00:14:51.179 before you commit to building it out further 00:14:51.179 --> 00:14:53.980 with AI Studio Build or traditional coding. Okay, 00:14:53.980 --> 00:14:56.299 so you've prototyped an app, maybe tested a few 00:14:56.299 --> 00:14:58.340 ideas with diffusion, found one that works, but 00:14:58.340 --> 00:15:00.620 what about actually publishing it? scaling it, 00:15:00.779 --> 00:15:03.879 getting it out there for real users. Good question. 00:15:04.100 --> 00:15:06.679 That's exactly where Firebase comes in. Firebase 00:15:06.679 --> 00:15:09.059 is Google's professional grade development platform, 00:15:09.220 --> 00:15:11.399 and it's designed to integrate really seamlessly 00:15:11.399 --> 00:15:14.480 with tools like AI Studio. So it's the next step 00:15:14.480 --> 00:15:17.779 after prototyping. Exactly. Firebase provides 00:15:17.779 --> 00:15:20.320 all that crucial backend infrastructure you need. 00:15:20.539 --> 00:15:23.779 Things like user authentication, you know, login 00:15:23.779 --> 00:15:27.059 systems, real -time databases for dynamic content, 00:15:27.379 --> 00:15:29.940 reliable web hosting. It essentially helps you 00:15:29.940 --> 00:15:33.039 turn your simple AI -generated prototech into 00:15:33.039 --> 00:15:35.659 a market -ready product that can handle thousands, 00:15:35.960 --> 00:15:38.759 potentially even millions of users. Got it. So 00:15:38.759 --> 00:15:41.480 it takes it from idea to reality. Pretty much. 00:15:41.600 --> 00:15:43.820 And what about folks who are maybe code curious? 00:15:44.710 --> 00:15:47.210 interested, but perhaps a bit intimidated by 00:15:47.210 --> 00:15:49.649 the whole programming thing. Is there a gentler 00:15:49.649 --> 00:15:52.029 on -ramp for them, someone who wants to dip their 00:15:52.029 --> 00:15:54.029 toes into coding without diving straight into 00:15:54.029 --> 00:15:56.389 complex syntax? Absolutely, there is. For that 00:15:56.389 --> 00:15:59.049 person, the AI generate feature within Google 00:15:59.049 --> 00:16:01.230 Colab is, I think, the perfect stepping stone. 00:16:01.289 --> 00:16:03.590 That's the Python environment, right? Yeah, the 00:16:03.590 --> 00:16:06.240 online Python notebook environment. But this 00:16:06.240 --> 00:16:08.379 feature allows you to describe a programming 00:16:08.379 --> 00:16:10.559 task you want to accomplish in plain English. 00:16:11.159 --> 00:16:13.740 And Colabs AI will write the Python code for 00:16:13.740 --> 00:16:16.120 you. And crucially, it will explain the code 00:16:16.120 --> 00:16:19.519 line by line. So it teaches you as it goes. Exactly. 00:16:19.720 --> 00:16:22.220 It demystifies coding. It empowers you to create 00:16:22.220 --> 00:16:25.299 custom scripts, maybe automate small tasks without 00:16:25.299 --> 00:16:28.179 facing that steep initial learning curve. It's 00:16:28.179 --> 00:16:30.379 like having a patient coding tutor right there 00:16:30.379 --> 00:16:32.639 in your browser. That sounds incredibly useful 00:16:32.639 --> 00:16:34.700 for lowering the barrier to entry. It really 00:16:34.700 --> 00:16:37.059 is. OK, let's shift our focus now. Let's talk 00:16:37.059 --> 00:16:40.000 about how AI can truly personalize your learning 00:16:40.000 --> 00:16:43.120 journey and even your career development, going 00:16:43.120 --> 00:16:45.600 far beyond the traditional tools we're used to. 00:16:45.600 --> 00:16:47.299 Yeah. Because learning and growing shouldn't 00:16:47.299 --> 00:16:49.460 feel like a chore, right? Definitely not. And 00:16:49.460 --> 00:16:51.200 on the learning front, especially language learning, 00:16:51.360 --> 00:16:53.320 we have something called Language Learning Labs, 00:16:53.659 --> 00:16:56.659 or LLL. Think of this as Google's AI -powered 00:16:56.659 --> 00:16:59.960 answer to apps like Duolingo, but with a really 00:16:59.960 --> 00:17:03.059 strong focus on real -world conversational practice. 00:17:03.159 --> 00:17:05.859 It's not just about memorizing vocabulary flashcards 00:17:05.859 --> 00:17:08.589 or interactive. Yeah. And one feature that stands 00:17:08.589 --> 00:17:11.170 out is WordCam. You use your phone's camera, 00:17:11.549 --> 00:17:14.049 point it at an object, say a chair, a cup, a 00:17:14.049 --> 00:17:16.650 tree, and it instantly translates the word for 00:17:16.650 --> 00:17:18.990 you right there on your screen. Oh, wow. That's 00:17:18.990 --> 00:17:20.890 like augmented reality for language learning. 00:17:21.329 --> 00:17:24.269 Exactly. It's a really powerful tool for truly 00:17:24.269 --> 00:17:27.509 immersive learning. Connects words to the real 00:17:27.509 --> 00:17:30.170 world. That's a fantastic way to learn vocabulary 00:17:30.170 --> 00:17:32.970 in context. OK. And then there's something called 00:17:32.970 --> 00:17:37.450 real time AI assistance. This sounds yeah ambitious 00:17:37.450 --> 00:17:40.309 like having an expert looking over your shoulder 00:17:40.309 --> 00:17:43.730 24 7 ready to help with basically any software 00:17:43.730 --> 00:17:46.029 How does that even work? It's remarkably simple 00:17:46.029 --> 00:17:48.730 in concept but incredibly powerful in practice 00:17:48.730 --> 00:17:51.289 you use screen sharing within AI studio So you 00:17:51.289 --> 00:17:53.230 share your screen with the AI and you can then 00:17:53.230 --> 00:17:55.569 ask for step -by -step guidance on virtually 00:17:55.569 --> 00:17:58.170 any software You're using any software like complex 00:17:58.170 --> 00:18:01.599 stuff. Yeah, imagine needing help with complex 00:18:01.599 --> 00:18:03.940 video editing techniques in Adobe Premiere Pro, 00:18:04.359 --> 00:18:06.500 or maybe building intricate financial models 00:18:06.500 --> 00:18:08.740 in Excel, or even troubleshooting some niche 00:18:08.740 --> 00:18:12.019 graphic design program. The AI sees exactly what 00:18:12.019 --> 00:18:13.619 you see on your screen and guides you through 00:18:13.619 --> 00:18:16.839 the process step by step. That is a huge time 00:18:16.839 --> 00:18:20.200 saver. Especially for anyone learning new, complex 00:18:20.200 --> 00:18:22.940 software, or just tackling a tricky project they 00:18:22.940 --> 00:18:24.700 haven't done before. No more endless searching 00:18:24.700 --> 00:18:27.720 for tutorials. Exactly. It removes that friction. 00:18:27.920 --> 00:18:30.400 What about a more creative use case? Not just 00:18:30.400 --> 00:18:32.839 troubleshooting. Oh, definitely. For a creative 00:18:32.839 --> 00:18:35.099 example, imagine you're working in a design tool 00:18:35.099 --> 00:18:37.380 like Figma. You could share your screen showing 00:18:37.380 --> 00:18:39.599 a landing page layout you're working on. And 00:18:39.599 --> 00:18:42.420 then you could ask the AI. Based on established 00:18:42.420 --> 00:18:45.440 principles of visual hierarchy and user experience, 00:18:46.039 --> 00:18:47.940 could you give me some feedback on this layout? 00:18:48.339 --> 00:18:50.940 What specific elements could I improve for clarity 00:18:50.940 --> 00:18:53.859 or conversion? Wow. So it's like having an instant 00:18:53.859 --> 00:18:56.680 design critique from a mentor. Precisely. It 00:18:56.680 --> 00:18:59.559 offers instant contextualized feedback based 00:18:59.559 --> 00:19:02.259 on design best practices. Really powerful for 00:19:02.259 --> 00:19:05.259 iteration. Okay. And moving from skills to career 00:19:05.259 --> 00:19:07.859 paths, there's CareerDreamer. So this sounds 00:19:07.859 --> 00:19:09.519 like more than just a job board. You called it 00:19:09.519 --> 00:19:12.440 a sophisticated AI career counselor. How does 00:19:12.440 --> 00:19:15.279 it differentiate itself? Yeah, it goes far beyond 00:19:15.279 --> 00:19:18.640 simple job matching based on keywords. It actually 00:19:18.640 --> 00:19:21.259 analyzes your current skills, the specific tasks 00:19:21.259 --> 00:19:23.960 you perform regularly in your job, and your stated 00:19:23.960 --> 00:19:27.420 interests. Based on that deeper profile, it suggests 00:19:27.420 --> 00:19:30.460 concrete, actionable career paths that might 00:19:30.460 --> 00:19:32.819 be a good fit, paths you might not have even 00:19:32.819 --> 00:19:34.980 considered. OK, interesting. What's its most 00:19:34.980 --> 00:19:37.400 valuable feature, would you say? For me, its 00:19:37.400 --> 00:19:40.160 most valuable feature is the day in the life 00:19:40.160 --> 00:19:42.319 descriptions it provides for potential roles. 00:19:42.480 --> 00:19:45.519 Day in the life. Yeah. These give you a qualitative 00:19:45.519 --> 00:19:48.079 sort of realistic glimpse into what a potential 00:19:48.079 --> 00:19:51.000 job actually feels like day to day. The common 00:19:51.000 --> 00:19:53.519 tasks, the challenges, the environment. It helps 00:19:53.519 --> 00:19:56.460 you assess for genuine personal fit, not just 00:19:56.460 --> 00:19:58.940 judging by title or salary range. It's a much 00:19:58.940 --> 00:20:01.000 richer insight. That could prevent a lot of career 00:20:01.000 --> 00:20:03.680 missteps. Hopefully. Though it's worth noting. 00:20:03.920 --> 00:20:07.460 Access to CareerDreamer might require a US VPN 00:20:07.460 --> 00:20:09.819 for full functionality depending on your location. 00:20:10.420 --> 00:20:12.920 Just something to be aware of. Good tip. Okay, 00:20:12.920 --> 00:20:15.980 now for the real power users. Those who need 00:20:15.980 --> 00:20:18.400 maybe ultimate privacy or the ability to run 00:20:18.400 --> 00:20:21.359 these powerful models without relying on an internet 00:20:21.359 --> 00:20:23.140 connection. This is where it gets really interesting, 00:20:23.160 --> 00:20:26.549 right? The Power Users Toolkit for advanced and 00:20:26.549 --> 00:20:30.009 offline AI. Absolutely. This is a true paradigm 00:20:30.009 --> 00:20:32.609 shift we're talking about. The concept of running 00:20:32.609 --> 00:20:35.670 powerful AI models directly on your own computer 00:20:35.670 --> 00:20:38.569 locally. How do you do that? Well, using a free 00:20:38.569 --> 00:20:42.430 tool like, say, LM Studio, you can actually download 00:20:42.430 --> 00:20:46.470 and run Google's Open Gemma models. These are 00:20:46.470 --> 00:20:48.309 powerful models Google has released right there 00:20:48.309 --> 00:20:50.569 on your machine. And why would someone want to 00:20:50.569 --> 00:20:53.289 do that? What are the big advantages? There are 00:20:53.289 --> 00:20:55.670 two massive reasons why this is incredibly important 00:20:55.670 --> 00:20:58.349 for certain power users and professionals. First, 00:20:58.829 --> 00:21:01.529 absolute privacy. If you're handling sensitive 00:21:01.529 --> 00:21:04.289 client data, proprietary company Kayud confidential 00:21:04.289 --> 00:21:06.730 research, nothing ever leaves your machine. Your 00:21:06.730 --> 00:21:09.029 data stays entirely with you. That's huge for 00:21:09.029 --> 00:21:11.990 many fields. Total control. Total control. And 00:21:11.990 --> 00:21:15.720 second, It offers incredible freedom and performance. 00:21:16.299 --> 00:21:19.259 You are completely free from needing an internet 00:21:19.259 --> 00:21:22.019 connection. You're free from API usage limits 00:21:22.019 --> 00:21:24.200 or potential costs. You're free from service 00:21:24.200 --> 00:21:27.740 outages. You can use the AI as much as you desire, 00:21:27.839 --> 00:21:30.039 as fast as your own computer hardware can run 00:21:30.039 --> 00:21:32.980 it. It's complete autonomy. OK, that's a game 00:21:32.980 --> 00:21:35.819 changer for specific needs. And for the ultimate 00:21:35.819 --> 00:21:38.079 automation tool, the one that can really supercharge 00:21:38.079 --> 00:21:42.519 complex workflows, we have the Gemini CLI. That's 00:21:42.519 --> 00:21:44.380 the command line interface. This sounds like 00:21:44.380 --> 00:21:46.240 the most potent tool in the whole arsenal for 00:21:46.240 --> 00:21:48.700 someone who really wants to automate, well, everything. 00:21:48.900 --> 00:21:50.740 It really is, especially for those comfortable 00:21:50.740 --> 00:21:53.579 working in a terminal environment. The true power 00:21:53.579 --> 00:21:55.720 of the CLI isn't just running single commands, 00:21:55.900 --> 00:21:58.160 though. It lies in scripting, chaining commands 00:21:58.160 --> 00:22:01.180 together to create incredibly complex automated 00:22:01.180 --> 00:22:02.920 workflows. Can you give an example of what that 00:22:02.920 --> 00:22:05.329 might look like? Sure. Imagine you write a simple 00:22:05.329 --> 00:22:07.410 script, a single command essentially, that tells 00:22:07.410 --> 00:22:09.769 your computer to do the following sequence. First, 00:22:10.210 --> 00:22:12.269 continuously watch a specific folder on your 00:22:12.269 --> 00:22:14.710 computer for any new audio files that appear. 00:22:14.849 --> 00:22:17.490 Okay, like recordings. Exactly, maybe meeting 00:22:17.490 --> 00:22:20.869 recordings or voice notes. Second, when a new 00:22:20.869 --> 00:22:24.339 file appears, Automatically use the Geminal CLI 00:22:24.339 --> 00:22:27.039 tool to transcribe that audio into text. Third, 00:22:27.160 --> 00:22:29.259 take that generated transcript and immediately 00:22:29.259 --> 00:22:31.859 ask Gemini, again via the CLI, to generate a 00:22:31.859 --> 00:22:34.440 concise summary and maybe extract a bulleted 00:22:34.440 --> 00:22:37.359 list of action items discussed. And finally, 00:22:37.619 --> 00:22:40.180 fourth, automatically email that summary and 00:22:40.180 --> 00:22:42.960 the action list to your project team's distribution 00:22:42.960 --> 00:22:45.700 list. Wow. all from one initial trigger. All 00:22:45.700 --> 00:22:47.799 automated. That is the level of sophisticated 00:22:47.799 --> 00:22:50.599 multi -step automation the Gemini CLI makes possible 00:22:50.599 --> 00:22:52.880 when you start scripting with it. It opens up 00:22:52.880 --> 00:22:55.400 an entirely new realm of productivity, particularly 00:22:55.400 --> 00:22:58.000 for developers, researchers, or anyone comfortable 00:22:58.000 --> 00:23:00.740 with basic scripting. That's truly powerful automation. 00:23:01.549 --> 00:23:04.349 Ok, so we've talked about all these amazing individual 00:23:04.349 --> 00:23:07.730 tools. The personalized gems in memory, the insightful 00:23:07.730 --> 00:23:10.369 deep research in NotebookLM, the no -code app 00:23:10.369 --> 00:23:12.950 builders, even running AI locally or automating 00:23:12.950 --> 00:23:15.920 with the CLI. What does this all mean when you 00:23:15.920 --> 00:23:18.519 put it together? How do these tools actually 00:23:18.519 --> 00:23:20.700 work in concert? Because you mentioned earlier, 00:23:20.799 --> 00:23:23.220 the true strategic advantage comes not from using 00:23:23.220 --> 00:23:26.019 them just in isolation, but from combining them 00:23:26.019 --> 00:23:28.359 intelligently. Precisely. If we connect this 00:23:28.359 --> 00:23:30.900 all back to the bigger picture, the real magic, 00:23:30.960 --> 00:23:33.440 the real leverage happens in those integrated 00:23:33.440 --> 00:23:37.059 workflows. Let's consider two powerful seamless 00:23:37.059 --> 00:23:39.400 examples of how you might chain these tools together. 00:23:40.140 --> 00:23:41.619 First, think about a content creator's engine. 00:23:41.880 --> 00:23:44.799 You begin with ideation. Maybe use deep research 00:23:44.799 --> 00:23:47.559 to explore a trending topic in your niche. Validate 00:23:47.559 --> 00:23:49.859 if there's real audience interest. Step one. 00:23:50.140 --> 00:23:54.180 Research. Step two. Curation and outlining. Gather 00:23:54.180 --> 00:23:56.759 maybe the top 10 relevant articles or research 00:23:56.759 --> 00:23:59.779 papers deep research found. Upload them all into 00:23:59.779 --> 00:24:02.819 Notebook LM. Then use Notebook LM to quickly 00:24:02.819 --> 00:24:05.019 generate a detailed outline for your own piece 00:24:05.019 --> 00:24:07.740 and extract key statistics or quotes from those 00:24:07.740 --> 00:24:10.259 sources. Leveraging the sources directly. Exactly. 00:24:10.619 --> 00:24:13.950 Step three. Drafting. Use Gemini itself or maybe 00:24:13.950 --> 00:24:16.529 even that custom expert writer gem you created 00:24:16.529 --> 00:24:19.529 earlier. Feed it the NoBookLM outline and have 00:24:19.529 --> 00:24:21.930 it write the first draft of your article. Getting 00:24:21.930 --> 00:24:25.730 the bulk written. And finally, step four, visuals 00:24:25.730 --> 00:24:29.009 and audio. Take the final article text, pop it 00:24:29.009 --> 00:24:31.509 into Canvas, ask it to create a nice summary 00:24:31.509 --> 00:24:34.549 infographic, then use the from text to audio 00:24:34.549 --> 00:24:37.250 feature we discussed to generate a conversational 00:24:37.250 --> 00:24:39.569 podcast version of the same article. So wait, 00:24:39.809 --> 00:24:42.450 one initial piece of research. instantly becomes 00:24:42.450 --> 00:24:45.210 potentially five or more pieces of tailored content. 00:24:45.630 --> 00:24:47.470 The original research, the outline, the article, 00:24:47.609 --> 00:24:50.130 the infographic, the podcast episode, all interconnected. 00:24:50.250 --> 00:24:51.730 That's an engine, all right. What's the second 00:24:51.730 --> 00:24:55.089 workflow example? Okay, workflow two. The Startup 00:24:55.089 --> 00:24:58.390 Founders Toolkit. This is all about agility and 00:24:58.390 --> 00:25:00.529 rapid iteration, which is crucial for startups. 00:25:00.710 --> 00:25:04.339 Right. Step one, market validation. Maybe use 00:25:04.339 --> 00:25:07.440 CareerDreamer, analyze your own skills, or identify 00:25:07.440 --> 00:25:09.920 in -demand skills in the market to spot potential 00:25:09.920 --> 00:25:12.119 gaps or opportunities. Flaming the niche. Step 00:25:12.119 --> 00:25:15.660 two, business planning. Use deep research to 00:25:15.660 --> 00:25:17.960 create a detailed analysis of a promising business 00:25:17.960 --> 00:25:20.599 idea that emerged. Get data on the target market 00:25:20.599 --> 00:25:23.200 size, competitor landscape, potential challenges. 00:25:23.500 --> 00:25:27.019 Due diligence. Step three, prototyping. Use AI 00:25:27.019 --> 00:25:29.940 Studio Build. Take your core app idea, write 00:25:29.940 --> 00:25:32.400 that detailed prompt, and generate a functional, 00:25:32.619 --> 00:25:35.299 minimum viable product that MVP, the simplest 00:25:35.299 --> 00:25:38.279 working version, may be in just a single afternoon. 00:25:38.460 --> 00:25:41.140 Building fast. Extremely fast. And step four, 00:25:41.359 --> 00:25:44.140 deployment and feedback. Use Firebase to easily 00:25:44.140 --> 00:25:46.980 deploy that MVP you just built. Add simple user 00:25:46.980 --> 00:25:48.980 login functionality if needed hosted on the web. 00:25:49.339 --> 00:25:51.619 Now you can start gathering your first real users 00:25:51.619 --> 00:25:53.960 and get that critical only feedback to iterate 00:25:53.960 --> 00:25:56.339 further. So it's a complete pipeline from idea 00:25:56.339 --> 00:25:58.339 to research to functional prototype to getting 00:25:58.339 --> 00:26:01.920 it live. Exactly. And crucially, almost all the 00:26:01.920 --> 00:26:04.319 tools involved in getting started with that pipeline 00:26:04.319 --> 00:26:07.160 are essentially free to use, lowering the barrier 00:26:07.160 --> 00:26:10.000 dramatically. We've really explored a phenomenal 00:26:10.000 --> 00:26:12.799 suite of powerful tools here today, tools that 00:26:12.799 --> 00:26:16.059 Google is offering incredibly for free. And as 00:26:16.059 --> 00:26:18.019 you said, this is much more than just a cost 00:26:18.019 --> 00:26:21.220 saving measure. It feels like the true democratization 00:26:21.220 --> 00:26:25.220 of capabilities that were Honestly, until very, 00:26:25.240 --> 00:26:28.339 very recently, the exclusive domain of large 00:26:28.339 --> 00:26:31.500 corporations with huge budgets were elite developers. 00:26:32.480 --> 00:26:34.880 From personalizing your own AI collaborator with 00:26:34.880 --> 00:26:38.339 gems in memory to building and deploying full 00:26:38.339 --> 00:26:40.900 -fledged applications without necessarily writing 00:26:40.900 --> 00:26:43.980 a line of code, the barrier to high -level digital 00:26:43.980 --> 00:26:46.680 creation and analysis has effectively been removed, 00:26:46.940 --> 00:26:49.220 or at least drastically lowered. It really has. 00:26:49.299 --> 00:26:51.079 And your next step, if you're listening to this, 00:26:51.140 --> 00:26:53.160 it can be really simple. Don't feel overwhelmed. 00:26:53.000 --> 00:26:55.839 by all these options, just choose one tool from 00:26:55.839 --> 00:26:57.980 this deep dive that resonated with you. And commit 00:26:57.980 --> 00:26:59.839 to integrating it into your workflow, even in 00:26:59.839 --> 00:27:02.200 a small way, this week. Like what? Like, create 00:27:02.200 --> 00:27:05.200 one gem to help you draft emails in your specific 00:27:05.200 --> 00:27:08.400 style. Or upload one important project brief 00:27:08.400 --> 00:27:11.299 into Notebook LM and ask it some questions. Or 00:27:11.299 --> 00:27:13.980 maybe just try building one super simple one 00:27:13.980 --> 00:27:17.140 page app with AI Studio Build just to see how 00:27:17.140 --> 00:27:18.819 it works. Let's start small, get a feel for it. 00:27:18.980 --> 00:27:21.980 Exactly. The AI revolution isn't some distant 00:27:21.980 --> 00:27:24.099 event. we need to brace for. It's actually a 00:27:24.099 --> 00:27:27.140 set of incredibly powerful tools sitting right 00:27:27.140 --> 00:27:30.019 there waiting in your browser tab, ready to amplify 00:27:30.019 --> 00:27:32.579 your abilities today. A powerful thought to end 00:27:32.579 --> 00:27:34.539 on. The only question left really is, what will 00:27:34.539 --> 00:27:35.079 you build?