WEBVTT 00:00:00.000 --> 00:00:02.160 You know, the truth about building a successful 00:00:02.160 --> 00:00:06.599 AI business is, well, it's that the easiest money, 00:00:07.059 --> 00:00:10.380 the most reliable path, is rarely about building 00:00:10.380 --> 00:00:13.240 the next huge complex language model. Exactly. 00:00:13.240 --> 00:00:15.980 It's not about inventing some brand new tech 00:00:15.980 --> 00:00:18.739 from the ground up. It's about taking these incredibly 00:00:18.739 --> 00:00:21.140 powerful tools that already exist, tools you 00:00:21.140 --> 00:00:23.379 can get right now, and just using them to offer 00:00:23.379 --> 00:00:26.649 simple, really precise services. We're talking 00:00:26.649 --> 00:00:28.809 about quietly and efficiently making a lot of 00:00:28.809 --> 00:00:31.309 money just by solving problems people already 00:00:31.309 --> 00:00:33.850 have. Welcome to the deep dive. Today we're doing 00:00:33.850 --> 00:00:38.149 a really rigorous analysis of the 2026 AI business 00:00:38.149 --> 00:00:40.189 blueprint. Yeah. And if you're listening, you're 00:00:40.189 --> 00:00:43.390 probably here for a quick but thorough understanding 00:00:43.390 --> 00:00:46.189 of some. high potential business models. And 00:00:46.189 --> 00:00:47.750 that's exactly what we're going to do. Our mission 00:00:47.750 --> 00:00:50.689 here is to distill everything into six specific 00:00:50.689 --> 00:00:53.530 service models. OK. And they all use AI purely 00:00:53.530 --> 00:00:56.149 as a tool, like a force multiplier, to solve 00:00:56.149 --> 00:00:58.189 what you could call boring problems, the kinds 00:00:58.189 --> 00:01:00.770 of problems that people with cash but no time 00:01:00.770 --> 00:01:03.450 will happily pay to solve. So this dive is going 00:01:03.450 --> 00:01:05.709 to give you the full picture. We're talking tools, 00:01:06.129 --> 00:01:09.670 workflows, even pricing. So you can figure out 00:01:09.670 --> 00:01:12.370 which opportunity really fits your own skills. 00:01:12.670 --> 00:01:16.250 Yep. Everything from a zero -cost startup to 00:01:16.250 --> 00:01:19.450 those really high -value consulting gigs. Let's 00:01:19.450 --> 00:01:21.730 just jump right in with the easiest one. Okay. 00:01:22.030 --> 00:01:25.450 Kicking off with the model that has the least 00:01:25.450 --> 00:01:28.290 friction, the lowest cost to get started, the 00:01:28.290 --> 00:01:31.730 virtual assistant AI business. This is pure arbitrage. 00:01:32.010 --> 00:01:34.849 You're helping clients with their daily administrative 00:01:34.849 --> 00:01:38.209 emails, scheduling, basic research, but you're 00:01:38.209 --> 00:01:40.450 doing it with AI speed. And the value proposition 00:01:40.450 --> 00:01:42.849 is just so simple, you save them time. That's 00:01:42.849 --> 00:01:45.250 it. I mean, busy business owners, executives, 00:01:45.310 --> 00:01:47.230 they all have this one pain point. They hate 00:01:47.230 --> 00:01:49.810 spending 30 minutes booking a dinner or staring 00:01:49.810 --> 00:01:52.170 at 200 emails before their day even starts. They'll 00:01:52.170 --> 00:01:54.310 happily pay to get that mental load off their 00:01:54.310 --> 00:01:56.670 plate. And the magic here is that these AI tools 00:01:56.670 --> 00:02:00.090 let one person do the work of, like, Three traditional 00:02:00.090 --> 00:02:02.010 assistants. So you're faster, probably cheaper, 00:02:02.390 --> 00:02:04.150 and your profit margins are huge because your 00:02:04.150 --> 00:02:06.549 main cost is just a monthly subscription to an 00:02:06.549 --> 00:02:08.650 LLM. So what does that starter kit even look 00:02:08.650 --> 00:02:11.110 like? It's pretty simple. You need a good large 00:02:11.110 --> 00:02:14.270 language model. So, you know, chat GPT or Gemini 00:02:14.270 --> 00:02:16.810 for summarizing and drafting things. Okay. Then 00:02:16.810 --> 00:02:19.710 something for task management. like Fixer and 00:02:19.710 --> 00:02:22.810 the basics, Google Calendar and Gmail. That's 00:02:22.810 --> 00:02:24.550 really it. Let's walk through that dinner party 00:02:24.550 --> 00:02:26.349 example, because it shows the speed so well. 00:02:26.449 --> 00:02:28.610 Yeah, this is a classic. A client sends you a 00:02:28.610 --> 00:02:31.509 messy voice message. They want an Italian dinner, 00:02:31.849 --> 00:02:34.830 four people, next Friday, city center, under 00:02:34.830 --> 00:02:37.789 $200, and it has to have a private room. Oh, 00:02:37.789 --> 00:02:39.830 and you have to draft the invitation too? Right. 00:02:40.090 --> 00:02:43.270 The old way, without AI. That's easily two, maybe 00:02:43.270 --> 00:02:45.770 three hours of searching, reading reviews, calling 00:02:45.770 --> 00:02:48.439 places, drafting emails. It's a s - It's a slog. 00:02:48.460 --> 00:02:51.479 It's a whole afternoon. The AI way. Yeah. You 00:02:51.479 --> 00:02:54.479 just feed one single comprehensive prompt to 00:02:54.479 --> 00:02:56.699 your language model, telling it to act like a 00:02:56.699 --> 00:02:58.560 professional executive assistant. And what comes 00:02:58.560 --> 00:03:01.240 out? It spits out the top three restaurant options, 00:03:01.400 --> 00:03:04.180 name, address, review, number, and it drafts 00:03:04.180 --> 00:03:06.819 the perfect professional invitation email to 00:03:06.819 --> 00:03:09.340 the partner, Mr. John. So you've just reduced 00:03:09.340 --> 00:03:13.819 a three -hour task to maybe 15 minutes. 15 minutes 00:03:13.819 --> 00:03:17.340 total? That's an incredible leverage point. The 00:03:17.340 --> 00:03:19.240 source material is really clear on how to get 00:03:19.240 --> 00:03:21.800 clients for this. Yeah. Target real estate agents. 00:03:21.960 --> 00:03:24.860 They're always busy, always in their cars, and 00:03:24.860 --> 00:03:27.259 totally swamped with messages. So the strategy 00:03:27.259 --> 00:03:29.680 is to offer to handle their emails and scheduling 00:03:29.680 --> 00:03:33.159 for three days for free with the guarantee that 00:03:33.159 --> 00:03:35.500 you'll save them at least an hour a day. So how 00:03:35.500 --> 00:03:38.280 crucial is that initial three -day free offer 00:03:38.280 --> 00:03:41.439 to actually proving the value of the speed? Well, 00:03:41.479 --> 00:03:44.340 the thinking is that that free sample provides 00:03:44.340 --> 00:03:48.080 undeniable immediate proof of time saved. OK, 00:03:48.099 --> 00:03:51.500 so let's move on. If you like that idea of growth, 00:03:51.680 --> 00:03:54.020 but you're more of a process person, the next 00:03:54.020 --> 00:03:57.699 logical step is the content repurposing AI business. 00:03:57.800 --> 00:03:59.860 Let's unpack that. This is perfect if you like 00:03:59.860 --> 00:04:02.020 video and the whole creator economy. It solves 00:04:02.020 --> 00:04:05.139 a huge kind of hidden problem. Most YouTubers, 00:04:05.219 --> 00:04:07.580 for instance, are great at making long 60 minute 00:04:07.580 --> 00:04:10.060 videos, but then they are completely burned out. 00:04:10.099 --> 00:04:12.379 They have no energy left to cut that video into 00:04:12.379 --> 00:04:15.159 short clips for TikTok or Instagram. So you step 00:04:15.159 --> 00:04:18.310 in. to solve their distribution problem. You 00:04:18.310 --> 00:04:20.529 get them more views and more followers without 00:04:20.529 --> 00:04:23.129 them having to do any more work, you become their 00:04:23.129 --> 00:04:25.730 growth partner. And the tools for this are just, 00:04:25.730 --> 00:04:28.589 they're game changers. Opus Clip is the big one. 00:04:28.709 --> 00:04:31.310 How does that work? You literally paste in a 00:04:31.310 --> 00:04:33.949 YouTube link and it automatically finds the best 00:04:33.949 --> 00:04:37.069 parts, cuts them up, and adds captions. It's 00:04:37.069 --> 00:04:39.540 amazing. And then there's... Descript, which 00:04:39.540 --> 00:04:41.899 is even more wild, it transcribes the video, 00:04:42.279 --> 00:04:44.399 and you can edit the video just by editing the 00:04:44.399 --> 00:04:46.959 text. Yeah, you delete a sentence in the transcript 00:04:46.959 --> 00:04:49.660 and poof, that clip is gone from the actual video 00:04:49.660 --> 00:04:51.259 file. That's incredible. So you're not selling 00:04:51.259 --> 00:04:54.000 video editing anymore? No, absolutely not. You 00:04:54.000 --> 00:04:57.100 are strategically selling audience growth. And 00:04:57.100 --> 00:04:59.199 the monetization scales really well with that. 00:04:59.660 --> 00:05:02.019 You could start with a basic package, maybe $500 00:05:02.019 --> 00:05:05.790 a month. One long video a week becomes five short 00:05:05.790 --> 00:05:08.310 clips. But the real money is in a growth package, 00:05:08.589 --> 00:05:11.649 maybe $2 ,000 a month. You take four long videos 00:05:11.649 --> 00:05:14.670 and turn them into 30 short clips, plus you create 00:05:14.670 --> 00:05:16.649 LinkedIn posts from them. I mean, just one of 00:05:16.649 --> 00:05:19.029 those clips going viral could be worth thousands 00:05:19.029 --> 00:05:22.250 to the client. It's funny, I still wrestle with 00:05:22.250 --> 00:05:24.970 prompt drift myself sometimes. Just trying to 00:05:24.970 --> 00:05:28.389 find the focus, using AI to force that structure 00:05:28.389 --> 00:05:31.149 just makes a ton of sense for creators. So does 00:05:31.149 --> 00:05:34.069 this model only optimize for speed, or is the 00:05:34.069 --> 00:05:36.610 AI actually good at picking out the most engaging 00:05:36.610 --> 00:05:39.709 parts, the hooks? Yeah, the AI finds compelling 00:05:39.709 --> 00:05:42.389 sections, which really minimizes the need for 00:05:42.389 --> 00:05:44.449 hard manual labor. All right, this is where it 00:05:44.449 --> 00:05:47.329 gets really interesting for anyone who's detail 00:05:47.329 --> 00:05:51.639 -oriented and just hates wasted time. the automation 00:05:51.639 --> 00:05:54.680 agency. This one is all about efficiency. The 00:05:54.680 --> 00:05:56.939 sad reality is that a lot of small and medium 00:05:56.939 --> 00:05:59.699 -sized businesses do things the hard way. They 00:05:59.699 --> 00:06:02.420 have so many internal inefficiencies. Oh, absolutely. 00:06:02.519 --> 00:06:04.699 Think about it. A new customer fills out a form 00:06:04.699 --> 00:06:07.660 online. Someone has to literally poppy their 00:06:07.660 --> 00:06:10.399 name from an email into Excel. They copy it again 00:06:10.399 --> 00:06:12.100 into the accounting software for an invoice. 00:06:12.360 --> 00:06:14.259 Right, and then copy it again into WhatsApp to 00:06:14.259 --> 00:06:16.399 send a welcome message. It's slow, it's boring, 00:06:16.459 --> 00:06:18.860 and it's so easy to make a mistake. So that's 00:06:18.860 --> 00:06:21.300 the leak that the automation business plugs. 00:06:21.600 --> 00:06:24.459 Let's define the jargon here. What exactly is 00:06:24.459 --> 00:06:27.639 automation in this context? It's basically just 00:06:27.639 --> 00:06:29.860 connecting different software applications so 00:06:29.860 --> 00:06:32.399 that data moves and actions happen automatically. 00:06:32.579 --> 00:06:35.259 It's like stacking Lego blocks of data. And what 00:06:35.259 --> 00:06:37.600 are the tools for that? So here we move beyond 00:06:37.600 --> 00:06:40.439 the basic LLMs. You're using tools like Zapier, 00:06:40.540 --> 00:06:43.639 which connects most common apps, or Make, which 00:06:43.639 --> 00:06:46.399 is more visual and powerful for complex flows. 00:06:46.480 --> 00:06:48.560 And you can even bring in Voice AI. For sure. 00:06:48.759 --> 00:06:51.199 Tools like your Atlas for answering phones. The 00:06:51.199 --> 00:06:54.300 core is a logic platform, something like NAN, 00:06:54.639 --> 00:06:57.040 that lets you build these custom workflows. OK, 00:06:57.120 --> 00:06:59.959 let's use the beauty spa example. A typical small 00:06:59.959 --> 00:07:02.019 business, probably losing customers because they're 00:07:02.019 --> 00:07:04.579 just overwhelmed. The problem is universal. The 00:07:04.579 --> 00:07:06.959 receptionist is busy with people in the spa, 00:07:07.120 --> 00:07:09.379 so they're too slow to reply to messages on Facebook 00:07:09.379 --> 00:07:11.779 or Instagram. And they lose that customer to 00:07:11.779 --> 00:07:14.759 a competitor who replies in five minutes. Exactly. 00:07:14.860 --> 00:07:17.980 So the solution you build is an AI system. Using 00:07:17.980 --> 00:07:21.019 a platform like NA, it instantly reads that Facebook 00:07:21.019 --> 00:07:24.339 message, say, I need a pedicure on Tuesday, and 00:07:24.339 --> 00:07:26.300 it replies with the price list in five seconds. 00:07:26.360 --> 00:07:28.699 And if the customer says yes? The AI books them 00:07:28.699 --> 00:07:31.560 directly into the Google Calendar. And then two 00:07:31.560 --> 00:07:33.500 hours before the appointment, it automatically 00:07:33.500 --> 00:07:36.600 sends a text reminder. No human involved. So 00:07:36.600 --> 00:07:38.879 that system becomes a huge competitive advantage 00:07:38.879 --> 00:07:41.480 for the spa. And the pricing for this model, 00:07:41.480 --> 00:07:44.420 it has to reflect that value. Absolutely. A setup 00:07:44.420 --> 00:07:47.759 fee, maybe $3 ,000 to build the system. then 00:07:47.759 --> 00:07:50.779 a monthly fee, say $500 for maintenance. That 00:07:50.779 --> 00:07:52.579 system pays for itself in just a couple of weeks. 00:07:52.680 --> 00:07:55.220 So what's the primary psychological barrier preventing 00:07:55.220 --> 00:07:57.540 small business owners from adopting these automated 00:07:57.540 --> 00:08:00.199 fixes? It's the fear of complexity. They need 00:08:00.199 --> 00:08:02.500 a proven solution that requires minimal effort 00:08:02.500 --> 00:08:05.100 from them. Okay, moving on. If you like sales, 00:08:05.620 --> 00:08:08.579 the thrill of the hunt, lead generation, is incredibly 00:08:08.579 --> 00:08:11.420 profitable. Every single business needs leads. 00:08:11.819 --> 00:08:14.139 And the big shift here is moving away from spam. 00:08:14.660 --> 00:08:17.759 The old way was buying a huge email list and 00:08:17.759 --> 00:08:20.899 blasting out a generic message to 10 ,000 people. 00:08:20.980 --> 00:08:23.660 With a reply rate of almost zero. Right. The 00:08:23.660 --> 00:08:26.740 AI business way is using AI to find the perfect 00:08:26.740 --> 00:08:29.800 person and craft a message that's so personal 00:08:29.800 --> 00:08:31.980 it's impossible to ignore. What are the tools 00:08:31.980 --> 00:08:34.659 for that? You're using Clay to scan websites 00:08:34.659 --> 00:08:38.100 and news for deep company info, Apollo as a database 00:08:38.100 --> 00:08:40.860 of contacts, and then chat GPT to put it all 00:08:40.860 --> 00:08:42.980 together into a personalized message. Let's use 00:08:42.980 --> 00:08:46.379 the coffee shop example. Your client sells scheduling 00:08:46.379 --> 00:08:49.139 software. OK, so you use Apollo to find every 00:08:49.139 --> 00:08:51.000 new coffee shop that opened in the last month. 00:08:51.440 --> 00:08:54.639 Then, the brilliant part, you use Clay to check 00:08:54.639 --> 00:08:56.620 their Instagram page. And what are you looking 00:08:56.620 --> 00:08:59.539 for? You prompt the AI. Look at this Instagram. 00:08:59.639 --> 00:09:01.639 Describe the design. Are they hiring staff right 00:09:01.639 --> 00:09:05.080 now? Ah, okay. So the AI crafts an email that 00:09:05.080 --> 00:09:07.659 mentions the shop's cool vintage design and the 00:09:07.659 --> 00:09:09.659 fact that they're hiring a cashier. Exactly. 00:09:09.799 --> 00:09:11.659 And it suggests how your client software can 00:09:11.659 --> 00:09:13.980 help train that new employee. That shows you 00:09:13.980 --> 00:09:15.759 actually did your homework. You understand their 00:09:15.759 --> 00:09:18.419 problems right now. And the monetization is pretty 00:09:18.419 --> 00:09:22.179 direct. Yeah, you charge maybe $100 to $200 for 00:09:22.179 --> 00:09:24.320 every meeting you set up for your client. How 00:09:24.320 --> 00:09:28.100 effective is the AI currently? in spotting those 00:09:28.100 --> 00:09:31.440 subtle personalizing cues from something like 00:09:31.440 --> 00:09:34.000 an Instagram page. It identifies unique public 00:09:34.000 --> 00:09:37.080 signals, allowing the prompt to craft tailored, 00:09:37.360 --> 00:09:39.759 highly responsive outreach. All right, this next 00:09:39.759 --> 00:09:43.480 model. It requires a technical focus, but the 00:09:43.480 --> 00:09:45.519 money is exceptionally good because the threats 00:09:45.519 --> 00:09:49.070 are, frankly, Terrifying. We're talking cybersecurity. 00:09:49.409 --> 00:09:52.549 Yeah, the scary truth is that hackers are weaponizing 00:09:52.549 --> 00:09:54.889 AI right now. They're using it to create deep 00:09:54.889 --> 00:09:58.110 fakes of CEOs demanding wire transfers. Voice 00:09:58.110 --> 00:10:00.769 cloning for phone scams. And phishing emails 00:10:00.769 --> 00:10:03.669 that are now 100 % realistic. Companies are absolutely 00:10:03.669 --> 00:10:05.750 terrified of a single hack destroying their whole 00:10:05.750 --> 00:10:07.269 business. So what's the service you're selling? 00:10:07.409 --> 00:10:09.730 You're selling managed detection and response 00:10:09.730 --> 00:10:12.330 or MDR. It's not just software. It's like an 00:10:12.330 --> 00:10:14.590 immune system with an AI camera that never sleeps. 00:10:14.730 --> 00:10:17.240 Why is AI so much better? than a human security 00:10:17.240 --> 00:10:20.559 team here. Well, humans sleep. Humans get tired. 00:10:21.080 --> 00:10:23.899 An AI can monitor millions of data points every 00:10:23.899 --> 00:10:26.460 single second, comparing every action against 00:10:26.460 --> 00:10:29.679 a baseline of normal behavior to spot an anomaly. 00:10:30.100 --> 00:10:32.399 The classic example is the accountant who always 00:10:32.399 --> 00:10:35.059 logs in at 9 a .m. from London, but suddenly 00:10:35.059 --> 00:10:38.000 there's a login at 3 a .m. on a Sunday from a 00:10:38.000 --> 00:10:41.559 server in another country. Whoa. Imagine scaling 00:10:41.559 --> 00:10:44.360 that detection to a billion queries across a 00:10:44.360 --> 00:10:47.519 multinational. The AI sees that anomaly and just 00:10:47.519 --> 00:10:50.559 locks the account instantly. That's MDR. And 00:10:50.559 --> 00:10:52.659 how do you get started? The choices suggest getting 00:10:52.659 --> 00:10:55.399 a certificate like CompTIA Security plus OIA 00:10:55.399 --> 00:10:57.759 to learn the fundamentals. Then you partner with 00:10:57.759 --> 00:11:00.100 the big companies, Sentinelone, CrowdStrike. 00:11:00.279 --> 00:11:02.120 You manage their software for clients. You sell 00:11:02.120 --> 00:11:04.240 safety and peace of mind. Given the inherent 00:11:04.240 --> 00:11:06.559 technical difficulty, is partnering with a major 00:11:06.559 --> 00:11:09.700 vendor absolutely essential for a beginner? Yes. 00:11:10.019 --> 00:11:12.440 Partnering is key. It allows you to sell safety 00:11:12.440 --> 00:11:14.840 immediately without proprietary software development. 00:11:15.049 --> 00:11:17.269 Okay, let's finish with what the source calls 00:11:17.269 --> 00:11:19.990 the hidden gem. This is the compliance consulting 00:11:19.990 --> 00:11:22.330 AI business. This is perfect for anyone who likes 00:11:22.330 --> 00:11:24.950 details, rules, and reading complex documents. 00:11:25.250 --> 00:11:28.669 And the problem you're solving is huge for big, 00:11:29.110 --> 00:11:30.909 regulated companies like banks and hospitals. 00:11:31.409 --> 00:11:34.210 They want to use AI to cut costs, but they are 00:11:34.210 --> 00:11:36.509 terrified of breaking the law. The risks are 00:11:36.509 --> 00:11:40.330 massive. A bank's AI could deny loans to a specific 00:11:40.330 --> 00:11:43.149 group, leading to a huge discrimination lawsuit. 00:11:43.210 --> 00:11:45.840 Or a hospital employee puts patient names into 00:11:45.840 --> 00:11:49.360 a free AI tool and instantly breaks privacy laws. 00:11:49.940 --> 00:11:52.019 Exactly. So they need someone to make sure their 00:11:52.019 --> 00:11:55.620 AI use is safe. ethical, and above all, legal. 00:11:55.779 --> 00:11:58.240 You offer AI audits. And the deliverables are 00:11:58.240 --> 00:12:00.679 pretty high value. Extremely high value. You're 00:12:00.679 --> 00:12:02.759 writing rule books for them, checking their systems 00:12:02.759 --> 00:12:06.080 against new laws like the EU AI Act, and training 00:12:06.080 --> 00:12:08.139 their staff. And because the clients are these 00:12:08.139 --> 00:12:10.320 big institutions with massive legal budgets, 00:12:10.679 --> 00:12:13.000 the income potential is fantastic. One project 00:12:13.000 --> 00:12:15.600 can easily pay $20 ,000 to $50 ,000. You only 00:12:15.600 --> 00:12:17.559 need two or three of those a year for a great 00:12:17.559 --> 00:12:20.200 income. What specific foundational knowledge 00:12:20.200 --> 00:12:23.539 should someone acquire first? to credibly offer 00:12:23.539 --> 00:12:25.700 this high -value auditing service. They must 00:12:25.700 --> 00:12:28.019 develop a deep understanding of current privacy 00:12:28.019 --> 00:12:30.840 laws and ethical governance frameworks. So after 00:12:30.840 --> 00:12:33.279 all that, what does this mean for you listening 00:12:33.279 --> 00:12:36.840 right now? We've covered six distinct paths to 00:12:36.840 --> 00:12:40.460 monetize AI in 2026. And none of them require 00:12:40.460 --> 00:12:42.460 you to invent the next big thing. You're just 00:12:42.460 --> 00:12:44.639 using technology that's already here to solve 00:12:44.639 --> 00:12:47.179 painful problems for people. A quick mental filter 00:12:47.179 --> 00:12:49.259 for you. based on what we covered. Yeah, if you 00:12:49.259 --> 00:12:52.159 want fast, zero -cost money, look at the virtual 00:12:52.159 --> 00:12:54.980 assistant model. If you love organization and 00:12:54.980 --> 00:12:57.980 process, check out the automation agency. And 00:12:57.980 --> 00:12:59.700 if you're deeply technical, you should probably 00:12:59.700 --> 00:13:02.299 be looking at cybersecurity. The conclusion from 00:13:02.299 --> 00:13:04.980 the source material is really clear. The year 00:13:04.980 --> 00:13:08.080 2026 is like the early days of the internet boom. 00:13:08.360 --> 00:13:10.759 The window of opportunity is wide open. You just 00:13:10.759 --> 00:13:12.639 need to pick a model and go find that first client. 00:13:12.799 --> 00:13:15.480 The question isn't if an AI business can make 00:13:15.480 --> 00:13:17.460 money. The question is, will you be the one to 00:13:17.460 --> 00:13:19.139 make it? And here's something to think about 00:13:19.139 --> 00:13:22.860 as you go. If AI can really reduce a three -hour 00:13:22.860 --> 00:13:26.799 task to just 15 minutes, what massive time -intensive 00:13:26.799 --> 00:13:29.000 problem are you currently overlooking in your 00:13:29.000 --> 00:13:32.419 own industry that could be solved for an anxious, 00:13:32.799 --> 00:13:33.720 time -starved client?