1 00:00:00,000 --> 00:00:03,980 You've probably typed something into Gemini, gotten an answer, and closed the tab. 2 00:00:04,500 --> 00:00:09,720 The same way you'd use any other chatbot. Here's the thing. That's maybe 10% of what it actually 3 00:00:09,720 --> 00:00:15,120 does. Use it right, and it can quietly take over almost half the busy work you're still doing by 4 00:00:15,120 --> 00:00:21,360 hand. I spent hours mapping every model, every mode, and every product Gemini is quietly wired 5 00:00:21,360 --> 00:00:27,480 into. And the number that stopped me was this. Gemini's app alone has over 650 million monthly 6 00:00:27,480 --> 00:00:33,640 users and that's before you count everyone using it inside search. Most of them are using maybe 20% 7 00:00:33,640 --> 00:00:38,040 of it with no idea the rest even exists. Look at this data from the Census Bureau. 8 00:00:39,000 --> 00:00:43,320 Only about one in five U.S. businesses actually use AI in their operations. 9 00:00:44,360 --> 00:00:48,600 So if you run a business and you're even thinking about this, you're ahead of most of your 10 00:00:48,600 --> 00:00:54,680 competition. What you might not know is that alongside covering AI news, we work with business 11 00:00:54,680 --> 00:00:59,320 owners to help them implement AI in their business. Our engineering team gets to know 12 00:00:59,320 --> 00:01:04,440 how your business runs, then builds the automation with you. You'll find the link in the description 13 00:01:04,440 --> 00:01:10,040 below. Click it, fill out a short form about your business, and we'll get in touch to set up a call. 14 00:01:10,040 --> 00:01:17,640 So in this video, I'm breaking down exactly what Gemini is as of mid-2026. Every current model, 15 00:01:17,640 --> 00:01:23,240 every mode, and everywhere Google has quietly built it in. By the end, you'll know exactly 16 00:01:23,240 --> 00:01:28,160 which Gemini tool to reach for depending on what you're actually trying to do, instead of just 17 00:01:28,160 --> 00:01:32,760 typing into whichever box is in front of you. First, let's clear up the biggest misconception. 18 00:01:33,380 --> 00:01:38,940 Gemini isn't one product at all. What Gemini actually is. Here's the mental model you need 19 00:01:38,940 --> 00:01:44,300 before any of this makes sense. Gemini isn't a single AI. It's Google's umbrella name for a 20 00:01:44,300 --> 00:01:49,400 whole platform, a family of models underneath, and a set of products on top that let you actually 21 00:01:49,400 --> 00:01:54,220 talk to them. Think of it in two layers. The bottom layer is the models themselves. Things 22 00:01:54,220 --> 00:02:01,180 like Gemini 3.6 Flash or Gemini 3.1 Pro. These are the engines, tuned for different jobs. Some 23 00:02:01,180 --> 00:02:06,640 built for speed, some for heavy reasoning, some for images or audio. You never see these names 24 00:02:06,640 --> 00:02:12,320 unless you go looking. The top layer is everything you actually click on. The Gemini app, AI mode 25 00:02:12,320 --> 00:02:18,400 inside Google search, Gemini inside Gmail and Docs, the voice assistant on your phone. All of those 26 00:02:18,400 --> 00:02:22,800 are just different doors into the same underlying models. That's the whole point of this video. 27 00:02:23,200 --> 00:02:28,300 Google isn't trying to build one great chatbot. It's trying to put the same AI brain behind every 28 00:02:28,300 --> 00:02:34,120 product you already use. So let's start with the brains, the actual models, because once you know 29 00:02:34,120 --> 00:02:38,880 what each one is built for, everything else clicks into place. The current model lineup. 30 00:02:39,260 --> 00:02:44,880 This is a demo checklist, so we're going model by model. What it is, what it's actually good for, 31 00:02:44,880 --> 00:02:52,020 and where you can get it. Gemini 3.7 Flash. Launched on August 13, 2026, this is Google's 32 00:02:52,020 --> 00:02:57,560 newest Flash model and its most capable workhorse yet. It's built primarily for coding and AI agents, 33 00:02:57,820 --> 00:03:03,220 with major improvements in software engineering, web development, and complex multi-step workflows. 34 00:03:03,940 --> 00:03:09,600 Google has already made it generally available through the Gemini API, positioning 3.7 Flash 35 00:03:09,600 --> 00:03:14,100 as the new go-to model when you want strong intelligence without giving up the speed and 36 00:03:14,100 --> 00:03:19,880 efficiency the Flash lineup is known for. Gemini 3.6 Flash. This is Google's current flagship, 37 00:03:20,420 --> 00:03:26,620 announced in a company blog post on July 21, 2026. It's built as a workhorse, strong at coding, 38 00:03:27,020 --> 00:03:30,920 knowledge work, and multimodal tasks. And according to Google's own numbers, 39 00:03:31,360 --> 00:03:35,960 it does the job using about 17% fewer tokens on average than its predecessor. 40 00:03:36,360 --> 00:03:41,140 Fewer tokens means faster answers and a lower bill if you're paying for it through the API. 41 00:03:41,140 --> 00:03:49,080 You can reach it through the Gemini API, through AI Studio, or simply by using the Gemini app and Search's AI mode. 42 00:03:49,440 --> 00:03:50,820 No extra setup required. 43 00:03:51,180 --> 00:03:57,800 If you only remember one model name from this video, make it this one, because it's what most of Gemini is quietly running on right now. 44 00:03:58,120 --> 00:03:59,800 Gemini 3.5 Flash. 45 00:04:00,120 --> 00:04:08,820 This one launched back in May 2026, and it's the model that was actually powering AI mode in Search before 3.6 Flash took over. 46 00:04:08,820 --> 00:04:12,940 Google described it as frontier-level intelligence at exceptional speed, 47 00:04:13,300 --> 00:04:18,100 and by its own benchmarks, it pushed output throughput to roughly four times faster than 48 00:04:18,100 --> 00:04:22,740 other top models at the time. It's still very much in active use across the Gemini app, 49 00:04:23,220 --> 00:04:29,220 Google's anti-gravity platform, and enterprise tools. It's slightly behind 3.6 now, but it's 50 00:04:29,220 --> 00:04:34,840 the model quietly sitting behind a huge share of what shipped this year, Gemini 3.5 flashlight. 51 00:04:34,840 --> 00:04:37,780 Same July announcement, different job entirely. 52 00:04:38,240 --> 00:04:44,020 This is the stripped-down, high-throughput sibling Google cites roughly 350 tokens per second, 53 00:04:44,380 --> 00:04:46,320 which is built for volume, not depth. 54 00:04:46,620 --> 00:04:48,540 You wouldn't use this for a hard reasoning problem. 55 00:04:48,860 --> 00:04:53,980 You'd use it for background tasks and agent pipelines that need to move fast and cheap at scale. 56 00:04:54,340 --> 00:04:55,740 Gemini 3.1 Pro 57 00:04:55,740 --> 00:04:59,800 Released in February 2026, this is the reasoning specialist. 58 00:04:59,960 --> 00:05:04,700 Google's benchmarks claim roughly double the logic performance of the earlier Gemini 3 Pro. 59 00:05:04,840 --> 00:05:13,600 It's mostly gated behind preview access through the API, Antigravity, Vertex AI, and Pro or Ultra subscriptions in the consumer app. 60 00:05:13,600 --> 00:05:18,480 If 3.6 Flash is built for speed, 3.1 Pro is built for depth. 61 00:05:18,480 --> 00:05:22,200 The model you'd want on a genuinely hard problem, not a quick one. 62 00:05:22,200 --> 00:05:27,880 And if you're actually building on top of these through the API, price is where the real-world decision gets made. 63 00:05:27,880 --> 00:05:34,440 According to Google's own published rates, 3.6 Flash runs about $1.50 per million input tokens 64 00:05:34,440 --> 00:05:37,040 and 750 per million output tokens. 65 00:05:37,040 --> 00:05:40,640 For context, that's noticeably cheaper on the output side 66 00:05:40,640 --> 00:05:44,840 than GPT 5.6 LUNA's roughly $6 per million. 67 00:05:44,840 --> 00:05:49,340 That gap is exactly why so many developers default to flash tier models 68 00:05:49,340 --> 00:05:51,040 for anything running at volume. 69 00:05:51,040 --> 00:05:54,640 Now, a handful of specialty models worth knowing by name, 70 00:05:54,640 --> 00:05:56,640 even if we don't dwell on each one. 71 00:05:56,640 --> 00:06:01,240 Nano Banana 2 is Gemini's current image generation and editing model, 72 00:06:01,240 --> 00:06:04,040 replacing the older Imogen line entirely, 73 00:06:04,040 --> 00:06:08,840 And that's not a small detail, because Amagen is actually shutting down on August 17, 74 00:06:09,160 --> 00:06:14,840 2026. If you've had workflows built on Amagen, that clock is already running. There's also a 75 00:06:14,840 --> 00:06:20,040 Nano Banana 2 Lite variant built purely for speed, trading a small amount of quality for 76 00:06:20,040 --> 00:06:25,720 much faster, cheaper output at high volume. VO 3.1 is Google's video generation model, 77 00:06:25,720 --> 00:06:30,360 still in beta, built to turn a text prompt into a short clip with matching audio. 78 00:06:30,360 --> 00:06:36,360 Gemini Audio 3.5 Live Translate handles real-time speech-to-speech translation 79 00:06:36,360 --> 00:06:40,760 across more than 70 languages already built into Google Meet and Android. 80 00:06:40,760 --> 00:06:43,560 And if you're curious about the more niche end of the lineup, 81 00:06:43,560 --> 00:06:47,960 there's a security-focused variant called 3.5 Flash Cyber Built 82 00:06:47,960 --> 00:06:50,840 to coordinate with vulnerability scanning tools, 83 00:06:50,840 --> 00:06:54,120 and Lyria 3.5, Google's music model, 84 00:06:54,120 --> 00:06:57,960 which can now generate tracks up to three minutes long from a text prompt. 85 00:06:57,960 --> 00:07:00,280 Here's the honest limitation worth naming. 86 00:07:00,360 --> 00:07:05,080 Google ships a lot of these models fast, and the naming gets confusing on purpose or not. 87 00:07:05,400 --> 00:07:10,680 3.5, 3.6, 3.1 Pro, Flashlight, FlashCyber. 88 00:07:11,080 --> 00:07:16,520 If you're not building on top of the API professionally, you genuinely don't need to memorize this list. 89 00:07:16,520 --> 00:07:21,540 You just need to know the shape of it. Fast and cheap, deep reasoning, and multimodal. 90 00:07:21,840 --> 00:07:24,880 That's really three categories wearing a lot of different name tags. 91 00:07:25,440 --> 00:07:28,800 The modes you actually interact with models are the engine. 92 00:07:28,800 --> 00:07:33,560 Modes are the steering wheel. Here's where things get useful for anyone who isn't a developer. 93 00:07:34,000 --> 00:07:39,860 AI mode inside Google search turns your search bar into a conversation. As of IO 2026, 94 00:07:40,420 --> 00:07:46,020 it's globally powered by Gemini 3.5 Flash, and instead of 10 blue links, you get a written 95 00:07:46,020 --> 00:07:50,900 answer with follow-up questions and sometimes an interactive widget built on the fly. Anyone 96 00:07:50,900 --> 00:07:56,000 with search can use it. No subscription required. Ask something like, what's a quick dinner with 97 00:07:56,000 --> 00:08:00,000 what's in my fridge and it answers in full sentences not a list of recipes 98 00:08:00,860 --> 00:08:03,800 DeepThink is the extra effort version of the Gemini app. 99 00:08:04,180 --> 00:08:08,640 It spends more compute per answer to reason through harder problems step by step. 100 00:08:08,960 --> 00:08:11,260 Google gates this one behind Google AI Ultra, 101 00:08:11,260 --> 00:08:16,620 and it's built for genuinely difficult science or engineering questions, not everyday chat. 102 00:08:16,980 --> 00:08:21,360 Now, deep research is where this stops being a chatbot and starts being an assistant. 103 00:08:21,800 --> 00:08:25,920 You give it a topic, and instead of one reply, it plans a research strategy, 104 00:08:26,480 --> 00:08:32,360 opens webpages, reads them, and, if you allow it, pulls from your own Gmail and Drive too. 105 00:08:32,680 --> 00:08:34,120 What comes back isn't a paragraph. 106 00:08:34,660 --> 00:08:37,740 It's a full multi-page report inside Gemini's Canvas. 107 00:08:37,740 --> 00:08:44,760 This is the part of Gemini that actually earns the word agent, and we're coming back to why that matters in a few minutes. 108 00:08:45,180 --> 00:08:47,400 Gemini Live is the voice and camera mode. 109 00:08:47,800 --> 00:08:54,940 Say, hey Google, let's chat, and you're talking to it hands-free, with the option to point your camera at something and ask what it's looking at. 110 00:08:55,240 --> 00:08:55,600 Live. 111 00:08:55,920 --> 00:08:57,600 And Canvas is the workspace mode. 112 00:08:58,000 --> 00:09:04,220 Type, create a quiz app about planets, and it writes the code, the interface, and the content in one pass. 113 00:09:04,700 --> 00:09:05,780 Right there for you to edit. 114 00:09:05,780 --> 00:09:09,120 One more worth a mention, briefly, because it's still early. 115 00:09:09,500 --> 00:09:13,600 Gemini Spark, a personal agent announced at IO 2026, 116 00:09:14,180 --> 00:09:17,500 meant to run continuously in the background handling things like scheduling. 117 00:09:17,980 --> 00:09:20,140 Right now it's limited to early ultra testers. 118 00:09:20,580 --> 00:09:22,740 So treat this one as coming, not here. 119 00:09:23,100 --> 00:09:24,700 Quick gut check before we move on. 120 00:09:25,040 --> 00:09:28,060 If all of that sounds like a lot of separate tools, that's fair. 121 00:09:28,300 --> 00:09:29,260 But notice the pattern. 122 00:09:29,680 --> 00:09:35,540 Every single one of these modes is just Gemini 3.5 or 3.6 Flash wearing a different job title. 123 00:09:35,780 --> 00:09:38,020 You're not learning six different AIs. 124 00:09:38,020 --> 00:09:41,300 You're learning six different ways to ask the same brain for help. 125 00:09:41,300 --> 00:09:42,980 Multimodal and practice. 126 00:09:42,980 --> 00:09:46,100 Let's talk about what multimodal actually means day to day, 127 00:09:46,100 --> 00:09:48,340 because it's more than a buzzword on a slide. 128 00:09:48,340 --> 00:09:50,660 Gemini reads and writes text and code. 129 00:09:50,660 --> 00:09:52,580 Obviously, that's the baseline. 130 00:09:52,580 --> 00:09:56,020 But drop a photo into a chat and ask it to caption or edit it, 131 00:09:56,020 --> 00:09:57,700 and Nano Banana handles that. 132 00:09:57,700 --> 00:09:59,700 Ask it to speak and answer out loud, 133 00:09:59,700 --> 00:10:03,060 and Gemini's audio models generate that voice on the spot 134 00:10:03,060 --> 00:10:05,700 with actual control over tone and pacing. 135 00:10:05,780 --> 00:10:08,780 Ask for a short video, and VO builds one from scratch. 136 00:10:09,160 --> 00:10:10,840 Ask it to edit an existing clip. 137 00:10:11,280 --> 00:10:15,740 Swap the sky, change the style, and that's a separate tool called Gemini Omni, 138 00:10:16,040 --> 00:10:18,280 doing frame-by-frame editing by voice command. 139 00:10:18,700 --> 00:10:24,220 Inside Google Docs and Sheets, the same underlying models can draft a document from your meeting notes 140 00:10:24,220 --> 00:10:29,280 or build a spreadsheet out of a pile of invoices, complete with formulas and charts, 141 00:10:29,500 --> 00:10:31,760 not just raw numbers dumped into cells. 142 00:10:31,760 --> 00:10:38,520 In Slides, hand it a list of bullet points and it can lay out an actual deck, not just text on blank slides. 143 00:10:38,940 --> 00:10:43,900 And through Gemini Live's camera mode, you can point your phone at a menu in a language you don't speak 144 00:10:43,900 --> 00:10:46,940 and get a live translation overlaid on what you're looking at, 145 00:10:47,140 --> 00:10:50,260 or ask it to identify an object it's looking at through the lens. 146 00:10:50,620 --> 00:10:51,600 No typing involved. 147 00:10:51,920 --> 00:10:53,200 Here's the part worth remembering. 148 00:10:53,640 --> 00:10:54,720 You never pick the model. 149 00:10:55,080 --> 00:10:56,180 You just say what you want. 150 00:10:56,480 --> 00:10:57,620 Make this an infographic. 151 00:10:58,140 --> 00:10:58,940 Translate this. 152 00:10:59,360 --> 00:11:00,240 Write this in Python. 153 00:11:00,240 --> 00:11:04,940 and Gemini quietly roots the request to whichever model actually does that job. 154 00:11:05,280 --> 00:11:07,300 That's the design philosophy in one sentence. 155 00:11:07,880 --> 00:11:11,160 One platform, and it decides the plumbing so you don't have to. 156 00:11:11,500 --> 00:11:12,920 Where Gemini actually lives. 157 00:11:13,280 --> 00:11:15,040 This is the part that's easy to underestimate. 158 00:11:15,680 --> 00:11:17,560 Gemini isn't confined to one app. 159 00:11:18,000 --> 00:11:20,240 It's spread across nearly everything Google ships. 160 00:11:20,700 --> 00:11:22,980 In search, it's AI mode, already covered. 161 00:11:23,460 --> 00:11:26,860 In Gmail, it's behind Smart Compose and Auto Reply suggestions. 162 00:11:27,320 --> 00:11:28,900 In Docs, Sheets and Slides. 163 00:11:28,900 --> 00:11:35,360 Ultra and Pro subscribers get Gemini drafting text, building formulas, and designing slide layouts, 164 00:11:35,880 --> 00:11:38,240 pulling context from your own files when you let it. 165 00:11:38,500 --> 00:11:41,520 In Drive, it can find and summarize documents for you. 166 00:11:41,920 --> 00:11:44,320 In Google Meet, it's doing live caption translation. 167 00:11:44,820 --> 00:11:49,160 On Android, especially Pixel devices, it's baked straight into the Voice Assistant, 168 00:11:49,540 --> 00:11:53,660 and there's a Chrome extension that lets the browser send page content straight to Gemini 169 00:11:53,660 --> 00:11:56,420 so you can ask questions about whatever tab you're on. 170 00:11:56,420 --> 00:12:01,680 And for developers, all of it is exposed through Google AI Studio and the Gemini API, 171 00:12:02,220 --> 00:12:07,040 plus a newer platform called Anti-Gravity for building multi-agent workflows on top of it. 172 00:12:07,280 --> 00:12:09,080 The strategic point here isn't subtle. 173 00:12:09,460 --> 00:12:12,320 Google isn't trying to win the best standalone chatbot argument. 174 00:12:12,700 --> 00:12:15,940 It's trying to make sure you're never more than one product away from Gemini, 175 00:12:16,300 --> 00:12:19,380 no matter what you're doing on a Google device or in a Google app. 176 00:12:19,780 --> 00:12:22,000 Agents, the part that actually matters. 177 00:12:22,380 --> 00:12:24,220 Now here's the shift I promised earlier. 178 00:12:24,220 --> 00:12:27,240 the one that actually changes what this platform is for. 179 00:12:27,640 --> 00:12:31,160 Everything so far has been ask a question, get an answer. 180 00:12:31,560 --> 00:12:34,480 Agents are Google trying to move Gemini past that entirely. 181 00:12:34,900 --> 00:12:40,620 Deep research is the clearest example already live, plan, browse, synthesize, write, 182 00:12:40,960 --> 00:12:42,580 without you babysitting every step. 183 00:12:42,980 --> 00:12:46,920 Spark is the early, still limited attempt at a persistent personal agent 184 00:12:46,920 --> 00:12:48,820 running continuously in the background. 185 00:12:49,280 --> 00:12:50,440 And on the developer side, 186 00:12:50,440 --> 00:12:55,920 anti-gravity lets companies build coordinated teams of sub-agents. Google's own blog post gave 187 00:12:55,920 --> 00:13:01,320 an example of businesses running parallel agents to analyze data at scale, rather than one model 188 00:13:01,320 --> 00:13:06,280 doing everything sequentially. Picture the difference in practice. The old way. You ask 189 00:13:06,280 --> 00:13:11,800 Gemini, what should I know before a trip to Japan? And it gives you a paragraph. The agent way. You 190 00:13:11,800 --> 00:13:17,940 say, plan my trip to Japan. And it checks flights, compares hotel options, and comes back with an 191 00:13:17,940 --> 00:13:23,040 actual itinerary, pausing to confirm with you before it books anything. That's the same underlying 192 00:13:23,040 --> 00:13:27,660 model, just given permission to take more than one step before handing control back to you. 193 00:13:28,000 --> 00:13:31,620 None of this is science fiction anymore, and none of it is fully finished either. 194 00:13:31,940 --> 00:13:37,140 That's the honest read. Deep research genuinely works today. Spark is still in early testing, 195 00:13:37,140 --> 00:13:42,080 but the direction is unmistakable. Google wants Gemini to eventually take a task, 196 00:13:42,500 --> 00:13:47,400 break it into steps, and execute most of them without you typing a follow-up for every single 197 00:13:47,400 --> 00:13:52,640 one. What actually makes Gemini different? So how does this stack up against everyone else building 198 00:13:52,640 --> 00:13:58,060 the same kind of thing? Let's be balanced here, because Google's advantages are real, but so are 199 00:13:58,060 --> 00:14:04,200 its weak spots. The clearest edge is data. Gemini can pull from live search results, maps, Gmail, 200 00:14:04,560 --> 00:14:10,580 and Drive in ways that a closed, sandbox chatbot simply can't match without plugins bolted on. 201 00:14:10,580 --> 00:14:16,380 The second edge is reach. Every Android phone is a potential Gemini client, and every workspace 202 00:14:16,380 --> 00:14:21,620 business account already has it available. No competitor has that kind of built-in distribution. 203 00:14:22,100 --> 00:14:28,120 And on raw benchmarks, Gemini 3 Pro topped the LM Arena leaderboard, which, regardless of how much 204 00:14:28,120 --> 00:14:32,680 weight you put on any single leaderboard, says Google's infrastructure and DeepMind's research 205 00:14:32,680 --> 00:14:38,520 are producing real, top-tier results, not just hype. But, and this matters for credibility, 206 00:14:39,060 --> 00:14:42,420 Google is genuinely more conservative about rollout than some competitors. 207 00:14:42,420 --> 00:14:47,420 DeepThink and Spark are still gated behind ultra subscriptions or limited testing, while 208 00:14:47,420 --> 00:14:50,580 some rivals ship new capabilities to everyone at once. 209 00:14:50,580 --> 00:14:57,660 And the tier structure itself — free, pro, ultra, API pricing — can be genuinely confusing 210 00:14:57,660 --> 00:15:00,640 next to a simpler flat subscription from a competitor. 211 00:15:00,640 --> 00:15:04,200 If you've ever opened the Gemini pricing page and closed it five minutes later still 212 00:15:04,200 --> 00:15:07,260 unsure which plan you need, that's not just you. 213 00:15:07,260 --> 00:15:08,620 Where this is actually headed. 214 00:15:08,620 --> 00:15:12,600 A few things are confirmed, and a few are still rumor, and it's worth keeping those separate. 215 00:15:12,960 --> 00:15:18,360 Confirmed. Gemini 3.5 Pro is currently in partner testing with a public release expected soon, 216 00:15:18,360 --> 00:15:23,860 and Google has already started training on Gemini 4, according to its own July 2026 announcement, 217 00:15:24,200 --> 00:15:28,560 though there's no public timeline for that yet. Workspace AI rollout continues expanding, 218 00:15:29,080 --> 00:15:34,300 and Gemini Live's regional language support keeps growing. Speculative, and worth labeling clearly 219 00:15:34,300 --> 00:15:40,000 as such. There's talk of a dedicated on-device AI chip for future Pixel phones, and some experimental 220 00:15:40,000 --> 00:15:45,100 deep-mind research around 3D avatars and world simulation that hasn't shipped as a product. 221 00:15:45,480 --> 00:15:50,500 Treat both of those as possible, not coming. Nothing official has confirmed either one. 222 00:15:50,820 --> 00:15:56,100 The verdict. So where does that leave things? Gemini in 2026 isn't a chatbot you occasionally 223 00:15:56,100 --> 00:16:02,560 open. It's an AI layer Google has threaded through search, Gmail, your documents, and increasingly, 224 00:16:02,560 --> 00:16:07,380 your phone itself. The models handle the thinking, the modes handle how you ask, 225 00:16:07,720 --> 00:16:11,640 and agents like Deep Research are the clearest sign of where all of it is actually heading. 226 00:16:12,020 --> 00:16:16,080 If there's one thing worth trying this week, it's Deep Research on something you'd normally 227 00:16:16,080 --> 00:16:20,100 spend an evening looking into yourself, and actually watching it work instead of just 228 00:16:20,100 --> 00:16:23,940 reading the final report. Drop a comment with which piece of this surprised you most, 229 00:16:24,300 --> 00:16:28,760 the model lineup, the agent side, or just how much of this you were already using without 230 00:16:28,760 --> 00:16:33,340 realizing it. I'll be back soon with a deeper breakdown on how deep research actually performs 231 00:16:33,340 --> 00:16:37,120 against a real research task. Thanks for watching, and I'll see you in the next one.