WEBVTT 00:00:00.000 --> 00:00:02.700 Imagine for a second, you could take a professional 00:00:02.700 --> 00:00:05.540 e -commerce store setup, something that usually 00:00:05.540 --> 00:00:09.240 costs you, what, $2 ,000? Or more, easily. Right, 00:00:09.279 --> 00:00:11.820 or much more. And you could cut that cost all 00:00:11.820 --> 00:00:14.660 the way down to zero. Or, think about research. 00:00:14.939 --> 00:00:18.420 Imagine taking 20 hours of really intense research, 00:00:18.739 --> 00:00:21.839 sifting through dozens of documents, and just 00:00:21.839 --> 00:00:25.960 shrinking that down to two hours with full accuracy. 00:00:25.980 --> 00:00:28.280 That massive efficiency is really what this deep 00:00:28.280 --> 00:00:30.449 dive is all about. It is. Welcome, everyone. 00:00:30.649 --> 00:00:34.310 The AI landscape is, well, honestly, it's overwhelming. 00:00:34.590 --> 00:00:37.109 It's just so much hype. A new tool every single 00:00:37.109 --> 00:00:39.350 day. Exactly. And a listener, who I think felt 00:00:39.350 --> 00:00:41.789 like a lot of you do, was just tired of the noise. 00:00:42.130 --> 00:00:44.630 They sent us this amazing guide where they systematically 00:00:44.630 --> 00:00:48.109 tested 289 different AI tools. And they had one 00:00:48.109 --> 00:00:50.929 very strict goal. Do they actually make you money 00:00:50.929 --> 00:00:54.229 or do they measurably cut your costs? That's 00:00:54.229 --> 00:00:55.990 it. We're cutting right to the core here. We 00:00:55.990 --> 00:00:57.969 are unpacking what the source calls the minimal 00:00:57.969 --> 00:01:00.049 money -making stack. We're only focusing on the 00:01:00.049 --> 00:01:01.649 eight tools that actually prove their worth. 00:01:01.829 --> 00:01:03.670 And we'll cover everything from infrastructure 00:01:03.670 --> 00:01:05.969 and scaled advertising. All the way to research 00:01:05.969 --> 00:01:08.590 intelligence. But the real insight, and we'll 00:01:08.590 --> 00:01:10.870 keep coming back to this, is that the tools themselves 00:01:10.870 --> 00:01:14.409 don't generate the income. It's the systems you 00:01:14.409 --> 00:01:16.829 build with them that do. Okay, let's get into 00:01:16.829 --> 00:01:19.810 it, Dan. And I think we should start where most 00:01:19.810 --> 00:01:23.239 entrepreneurs burn the most time and... And capital. 00:01:23.379 --> 00:01:26.019 The initial build. That first hurdle. Right. 00:01:26.079 --> 00:01:28.359 The foundation. The traditional problem is just 00:01:28.359 --> 00:01:32.560 brutal. Setting up a new Shopify store. I mean, 00:01:32.579 --> 00:01:34.859 that takes a founder somewhere between 40 and 00:01:34.859 --> 00:01:38.120 80 hours. Oh, at least. Of just grinding. All 00:01:38.120 --> 00:01:40.760 of it. The theme. The products. The descriptions. 00:01:40.859 --> 00:01:43.680 The integrations. And if you don't do that grind 00:01:43.680 --> 00:01:47.049 yourself, you're paying an agency what? two three 00:01:47.049 --> 00:01:49.269 five thousand dollars yeah five grand easy which 00:01:49.269 --> 00:01:51.549 means you're limited to testing maybe one idea 00:01:51.549 --> 00:01:53.709 every couple of months so the solution that this 00:01:53.709 --> 00:01:56.049 guide found after all that testing is a tool 00:01:56.049 --> 00:01:58.329 called build your store and it's incredibly simple 00:01:58.329 --> 00:02:01.170 you give it two things a niche and your target 00:02:01.170 --> 00:02:04.030 customer that is it and in minutes the output 00:02:04.030 --> 00:02:07.709 is a whole store a complete ready to launch store 00:02:07.709 --> 00:02:11.270 you get a professional theme 10 plus trending 00:02:11.270 --> 00:02:13.849 products already loaded in descriptions brand 00:02:13.849 --> 00:02:17.039 basics All the core integrations are already 00:02:17.039 --> 00:02:19.840 set up and ready to go. The economic case for 00:02:19.840 --> 00:02:22.819 this is, I mean, it's genuinely extreme. It's 00:02:22.819 --> 00:02:24.979 a huge shift. You're talking about 60 hours of 00:02:24.979 --> 00:02:28.060 your life just gone, reduced to about two hours. 00:02:28.180 --> 00:02:30.699 And you're saving thousands in agency costs right 00:02:30.699 --> 00:02:34.139 away. But you said something earlier. The speed 00:02:34.139 --> 00:02:36.740 is the real advantage. That's the strategic shift. 00:02:37.039 --> 00:02:40.189 Absolutely. The money isn't just in... the two 00:02:40.189 --> 00:02:42.729 grand you didn't pay an agency the real profit 00:02:42.729 --> 00:02:45.689 is being able to test say five stores in a single 00:02:45.689 --> 00:02:48.009 week instead of just one over two months whoa 00:02:48.009 --> 00:02:50.250 you've completely compressed the time it takes 00:02:50.250 --> 00:02:53.110 to see if an idea has legs that's profound it 00:02:53.110 --> 00:02:54.569 changes your whole relationship with failure 00:02:54.569 --> 00:02:56.889 you can afford to be wrong four times if you 00:02:56.889 --> 00:02:59.210 find the winner that much faster right so the 00:02:59.210 --> 00:03:02.009 core strategic advantage of this speed is really 00:03:02.009 --> 00:03:04.210 just the sheer volume of business bets you can 00:03:04.210 --> 00:03:07.360 place exactly Now, moving from building to scaling, 00:03:07.520 --> 00:03:09.639 let's talk about the other huge cost center. 00:03:09.800 --> 00:03:13.780 Ads. Customer acquisition. Specifically, user 00:03:13.780 --> 00:03:17.039 -generated content or UGC. Right. Those authentic 00:03:17.039 --> 00:03:18.740 -looking videos. The ones that look like customer 00:03:18.740 --> 00:03:20.860 reviews. They convert so much better. Yeah. I 00:03:20.860 --> 00:03:23.259 think the numbers are two to four times better 00:03:23.259 --> 00:03:25.879 than a polished traditional ad. They do, but 00:03:25.879 --> 00:03:28.460 you pay for that authenticity. A human creator 00:03:28.460 --> 00:03:32.080 can charge anywhere from $200 to $500 for a single 00:03:32.080 --> 00:03:34.699 video. So if you want to test 10 different ad 00:03:34.699 --> 00:03:37.819 angles, you're suddenly out $5 ,000 before you 00:03:37.819 --> 00:03:39.419 even know if people care about your product. 00:03:39.620 --> 00:03:42.520 That's where CreateUGC comes in. It generates 00:03:42.520 --> 00:03:45.900 these high -quality UGC -style ads in, get this, 00:03:46.000 --> 00:03:49.509 under 60 seconds. And it uses AI avatars and 00:03:49.509 --> 00:03:52.490 voices. And the cost comparison is massive. You 00:03:52.490 --> 00:03:55.590 go from $300 to $500 for a human video down to 00:03:55.590 --> 00:03:58.949 maybe $20 to $40 for an AI one. That's a 90 % 00:03:58.949 --> 00:04:01.430 cost saving. Now you have to do a quality reality 00:04:01.430 --> 00:04:04.830 check, which the source does. AI -generated UGC, 00:04:04.870 --> 00:04:07.810 it converts about 60 % to 80 % as well as human 00:04:07.810 --> 00:04:10.250 UGC. So it's not perfect. But it's at 10 % of 00:04:10.250 --> 00:04:11.969 the price. Right. So that's the smart workflow. 00:04:12.090 --> 00:04:14.389 You don't use the AI tool for your final big 00:04:14.389 --> 00:04:18.250 campaign. You use it to test, say, 20 or 30 different 00:04:18.250 --> 00:04:20.430 angles on the cheap. You let the AI data tell 00:04:20.430 --> 00:04:23.189 you what works, which hook, which script. It 00:04:23.189 --> 00:04:25.569 finds the winner for you. And then, and only 00:04:25.569 --> 00:04:28.050 then, do you go pay that human creator the 500 00:04:28.050 --> 00:04:31.250 bucks. But you're not guessing anymore. You're 00:04:31.250 --> 00:04:34.050 asking them to perfect a concept you already 00:04:34.050 --> 00:04:37.550 know works. It's using AI to de -risk your biggest 00:04:37.550 --> 00:04:40.490 investment. From visual ads to sound, this is 00:04:40.490 --> 00:04:43.269 a constant headache for content creators. Background 00:04:43.269 --> 00:04:45.310 music. It's a minefield. You're always worried 00:04:45.310 --> 00:04:47.230 about copyright strikes or you're paying for 00:04:47.230 --> 00:04:50.509 expensive stock tracks. Yeah, $20, even $50 for 00:04:50.509 --> 00:04:52.990 a single song. Yeah. And a video might need... 00:04:53.180 --> 00:04:54.839 Two or three of them. So this is a bit of a hidden 00:04:54.839 --> 00:04:57.180 gem from a company everyone already knows, Eleven 00:04:57.180 --> 00:04:59.339 Labs. Right, for voice cloning. Exactly. But 00:04:59.339 --> 00:05:01.740 they also offer AI music generation. You just 00:05:01.740 --> 00:05:03.800 input the mood, the style, the tempo. You can 00:05:03.800 --> 00:05:08.319 literally type in instrumental 1986 synth wave 00:05:08.319 --> 00:05:11.879 night drive at 100 BPM. And the key here is the 00:05:11.879 --> 00:05:14.360 licensing. You get a commercial license right 00:05:14.360 --> 00:05:16.819 out of the box. So you can monetize your content 00:05:16.819 --> 00:05:19.449 without any fear of getting a strike. and it 00:05:19.449 --> 00:05:21.990 solves this other more subtle branding problem 00:05:21.990 --> 00:05:24.709 you can generate infinite variations of your 00:05:24.709 --> 00:05:27.209 core prompt which lets you maintain a consistent 00:05:27.209 --> 00:05:30.230 sonic identity for your brand so all your videos 00:05:30.230 --> 00:05:32.089 feel connected they don't just sound like a random 00:05:32.089 --> 00:05:34.589 playlist of stock music precisely and for anyone 00:05:34.589 --> 00:05:38.050 making say four or more videos a month the 22 00:05:38.050 --> 00:05:40.839 a month subscription which includes the voice 00:05:40.839 --> 00:05:43.699 features too, it pays for itself instantly. It 00:05:43.699 --> 00:05:45.939 replaces just one or two of those stock track 00:05:45.939 --> 00:05:49.259 fees. So beyond just the cost, the biggest advantage 00:05:49.259 --> 00:05:51.639 for branding is just maintaining that consistent, 00:05:51.779 --> 00:05:55.060 recognizable audio identity easily and quickly. 00:05:55.560 --> 00:05:58.120 Let's pivot to visual content, but more specialized 00:05:58.120 --> 00:06:01.060 tools. The source found a kind of hierarchy of 00:06:01.060 --> 00:06:03.579 three tools that really stand out in just an 00:06:03.579 --> 00:06:05.740 incredibly crowded space. This is less about 00:06:05.740 --> 00:06:07.980 just generating a cool image and more about specific 00:06:07.980 --> 00:06:10.939 functions. First up is Polo AI, which is the 00:06:10.939 --> 00:06:13.439 video specialist in this stack. We've all seen 00:06:13.439 --> 00:06:15.620 text -to -video tools. What makes this one special? 00:06:16.019 --> 00:06:18.879 It's the camera control. You can program in precise 00:06:18.879 --> 00:06:23.160 zooms, pans, tilts. You can actually direct the 00:06:23.160 --> 00:06:26.000 AI -generated shot. Ah, so you get a more cinematic 00:06:26.000 --> 00:06:28.819 professional quality. It lists the whole production 00:06:28.819 --> 00:06:31.379 value. Immediately. Then you have i10X, which 00:06:31.379 --> 00:06:33.519 is what they call the aggregator. This one isn't 00:06:33.519 --> 00:06:36.620 for casual user. It's for heavy power users or, 00:06:36.699 --> 00:06:39.019 you know, agencies. The ones juggling multiple 00:06:39.019 --> 00:06:41.459 clients and multiple tools. That's right. So 00:06:41.459 --> 00:06:44.000 instead of paying 20 bucks a month for ChatGPT 00:06:44.000 --> 00:06:46.000 and another bill for MidJourney and another for 00:06:46.000 --> 00:06:49.560 Claude, iToneX gives you access to over 500 different 00:06:49.560 --> 00:06:53.040 models for one subscription, $25 a month. So 00:06:53.040 --> 00:06:55.079 if you're regularly using three or more different 00:06:55.079 --> 00:06:57.699 AI tools, you start saving money right away. 00:06:57.839 --> 00:07:00.860 Instantly. And the last one is Google Opal, which 00:07:00.860 --> 00:07:02.740 is kind of the outlier. It's not about content 00:07:02.740 --> 00:07:05.319 at all. It's a no -code app, though. So a non 00:07:05.319 --> 00:07:07.379 -technical founder can build their own internal 00:07:07.379 --> 00:07:10.699 software tools. Exactly, using just natural language. 00:07:10.800 --> 00:07:13.060 You could, for example, build a small app that 00:07:13.060 --> 00:07:15.959 monitors your competitor's social media and then 00:07:15.959 --> 00:07:18.579 drafts an internal summary report for you every 00:07:18.579 --> 00:07:21.220 week. And that saves real money. Because you 00:07:21.220 --> 00:07:22.860 don't have to hire a developer for those kinds 00:07:22.860 --> 00:07:25.540 of simple workflow automation tools. Right. The 00:07:25.540 --> 00:07:28.480 build takes hours, not weeks. The real value 00:07:28.480 --> 00:07:31.220 from these three is that specialization. Professional 00:07:31.220 --> 00:07:34.199 video, consolidating your subscriptions, and 00:07:34.199 --> 00:07:36.759 saving on internal development. That theme of 00:07:36.759 --> 00:07:39.139 specialization actually leads us right into the 00:07:39.139 --> 00:07:42.720 AI chatbot hierarchy. And this is where I think 00:07:42.720 --> 00:07:46.019 most people make a key budget -draining mistake. 00:07:46.379 --> 00:07:49.040 They default to chat GPT for... absolutely everything. 00:07:49.279 --> 00:07:51.040 It's the convenience trap, right? You open the 00:07:51.040 --> 00:07:53.560 tab, you know, you use your $20 a month subscription 00:07:53.560 --> 00:07:56.379 on really basic tasks that you could get done 00:07:56.379 --> 00:07:58.439 somewhere else for free. The optimal strategy 00:07:58.439 --> 00:08:01.379 is a clear hierarchy. At the bottom, your workhorse 00:08:01.379 --> 00:08:04.620 is Google AI Studio. It's the free powerhouse. 00:08:04.839 --> 00:08:08.420 It has Gemini 2 .5 Flash and Gemini 3 .0 Pro. 00:08:08.620 --> 00:08:11.000 And the testing showed it should be able to handle 00:08:11.000 --> 00:08:14.740 70 to 80 percent of your daily tasks. Coding 00:08:14.740 --> 00:08:17.860 help. basic writing summaries that first pass 00:08:17.860 --> 00:08:20.660 on research. And all of that is essentially free. 00:08:20.819 --> 00:08:24.899 All free. Now, ChatGPT is still the king of creativity. 00:08:25.199 --> 00:08:27.319 The source is clear on that. It's still superior 00:08:27.319 --> 00:08:29.680 for really complex creative writing, advanced 00:08:29.680 --> 00:08:32.559 logical reasoning, and of course, custom GPTs 00:08:32.559 --> 00:08:34.740 that are trained on your specific data. So the 00:08:34.740 --> 00:08:37.940 strategy is just simple discipline. Reserve that 00:08:37.940 --> 00:08:40.879 $20 subscription for the 20 to 30 % of tasks 00:08:40.879 --> 00:08:44.230 where you truly need its unique powers. And I 00:08:44.230 --> 00:08:45.789 have to admit, I still wrestle with that convenience 00:08:45.789 --> 00:08:48.850 trap myself. You fall into prompt drift, you 00:08:48.850 --> 00:08:50.529 know. You get lazy with your prompts over time, 00:08:50.570 --> 00:08:52.450 the results get worse. It takes real discipline 00:08:52.450 --> 00:08:54.750 to switch between tools. It does. But you should 00:08:54.750 --> 00:08:57.289 always switch back to ChatGPT. We need that complex 00:08:57.289 --> 00:08:59.570 creative writing, that advanced reasoning, or 00:08:59.570 --> 00:09:02.450 those specific custom GPTs that Google just doesn't 00:09:02.450 --> 00:09:04.769 have. And next up, we have something that fundamentally 00:09:04.769 --> 00:09:08.129 changes the speed of just learning. Research 00:09:08.129 --> 00:09:10.860 intelligence with Notebook LM. This solves a 00:09:10.860 --> 00:09:13.659 massive business bottleneck. Imagine you have 00:09:13.659 --> 00:09:17.899 50 long PDFs or internal company documents and 00:09:17.899 --> 00:09:21.120 you need to find one specific quote or data point. 00:09:21.240 --> 00:09:23.360 That's a nightmare. That's at least 20 hours 00:09:23.360 --> 00:09:26.059 of manual work. The solution here is Notebook 00:09:26.059 --> 00:09:29.799 LM. It's a free AI research assistant. You upload 00:09:29.799 --> 00:09:33.279 up to 50 sources, PDFs, videos, documents, and 00:09:33.279 --> 00:09:36.059 the AI analyzes all of them. It surfaces the 00:09:36.059 --> 00:09:38.399 key themes and insights across the entire collection. 00:09:38.620 --> 00:09:40.940 And the time savings are just huge. That 20 -hour 00:09:40.940 --> 00:09:43.320 research project, it drops to two or three hours. 00:09:43.600 --> 00:09:46.639 And the quality is often better. An AI can spot 00:09:46.639 --> 00:09:49.759 subtle patterns across 50 documents that a human 00:09:49.759 --> 00:09:52.289 mind would just miss. You know, from fatigue 00:09:52.289 --> 00:09:54.570 or sheer volume. What's really fascinating, though, 00:09:54.610 --> 00:09:57.210 is how it guarantees it's reliable. It uses something 00:09:57.210 --> 00:09:59.950 called ARGI -based technology. Retrieval Augmented 00:09:59.950 --> 00:10:02.490 Generation. Right, which is a fancy way of saying 00:10:02.490 --> 00:10:05.190 the AI searches only your specific sources. It 00:10:05.190 --> 00:10:06.870 doesn't just go out and search the whole web. 00:10:07.049 --> 00:10:09.830 And here's the killer feature. Every single answer 00:10:09.830 --> 00:10:12.269 it gives you includes clickable citation. So 00:10:12.269 --> 00:10:14.669 you can instantly click and verify the information 00:10:14.669 --> 00:10:17.370 in the original document. That feature alone 00:10:17.370 --> 00:10:20.730 guarantees the factual reliability. No more constant 00:10:20.730 --> 00:10:23.330 cross -referencing. Let's circle back to Eleven 00:10:23.330 --> 00:10:25.830 Labs, which we mentioned for music. Let's talk 00:10:25.830 --> 00:10:28.769 about their core technology, voice cloning. This 00:10:28.769 --> 00:10:31.389 tool takes a really short audio sample of your 00:10:31.389 --> 00:10:34.090 voice, sometimes as little as a minute. One to 00:10:34.090 --> 00:10:36.169 five minutes is all it needs. And it creates 00:10:36.169 --> 00:10:39.000 a perfect... digital version of your voice and 00:10:39.000 --> 00:10:41.899 the money benefit here is purely about speed 00:10:41.899 --> 00:10:44.700 and scale especially for media businesses creating 00:10:44.700 --> 00:10:47.080 a voiceover for a video that usually takes about 00:10:47.080 --> 00:10:49.519 an hour right you have to record it edit it fix 00:10:49.519 --> 00:10:51.580 your mistakes all that goes down to about five 00:10:51.580 --> 00:10:53.860 minutes of just typing and generating and the 00:10:53.860 --> 00:10:57.120 consistency is perfect No stumbles, no background 00:10:57.120 --> 00:11:00.419 noise ever. That efficiency means a creator can 00:11:00.419 --> 00:11:04.000 produce literally 10 times more spoken content. 00:11:04.159 --> 00:11:06.460 Which means 10 times the potential ad impressions. 00:11:06.759 --> 00:11:09.240 It also completely removes the barrier to global 00:11:09.240 --> 00:11:11.720 reach. Once the AI has cloned your voiceprint, 00:11:11.820 --> 00:11:13.840 you can instantly translate your content into 00:11:13.840 --> 00:11:17.039 29 other languages. And it sounds like you speaking 00:11:17.039 --> 00:11:19.679 that language with a native accent. Yeah. The 00:11:19.679 --> 00:11:22.679 AI just needs that one to five minute audio recording 00:11:22.679 --> 00:11:25.399 to clone your personal voice print. It's incredible. 00:11:25.700 --> 00:11:27.600 So we finished the stack with knowledge management. 00:11:27.799 --> 00:11:30.360 This is about leveraging Notion's AI features 00:11:30.360 --> 00:11:33.720 and pairing it with ChatGPT for brainstorming. 00:11:34.139 --> 00:11:36.960 Notion AI is really powerful because it searches 00:11:36.960 --> 00:11:39.639 your entire database. It can summarize all your 00:11:39.639 --> 00:11:42.299 notes and answer really complex questions. Like 00:11:42.299 --> 00:11:44.679 what were the main insights from all of our customer 00:11:44.679 --> 00:11:47.500 interviews last quarter? Exactly. And this integration 00:11:47.500 --> 00:11:50.460 saves money in a... couple of ways. First, it 00:11:50.460 --> 00:11:52.759 stops you from task switching. You know, that 00:11:52.759 --> 00:11:55.179 mental drag of jumping between different tools. 00:11:55.419 --> 00:11:58.200 You stay where your data lives. But for a scaling 00:11:58.200 --> 00:12:00.740 business, the bigger value is that it preserves 00:12:00.740 --> 00:12:03.399 your team's knowledge. That's huge. That expertise 00:12:03.399 --> 00:12:05.259 doesn't just walk out the door when an employee 00:12:05.259 --> 00:12:08.480 leaves. The institutional memory stays inside 00:12:08.480 --> 00:12:10.860 your AI -powered notion system. And we connect 00:12:10.860 --> 00:12:13.179 that knowledge retrieval to the big picture of 00:12:13.179 --> 00:12:17.000 idea generation, using ChatGPT for rapid brainstorming. 00:12:17.309 --> 00:12:20.409 The key insight here is that its value isn't 00:12:20.409 --> 00:12:22.789 that it has better ideas than you, it's that 00:12:22.789 --> 00:12:25.509 it generates vastly more ideas faster than any 00:12:25.509 --> 00:12:28.009 human possibly could. So if you need a new product 00:12:28.009 --> 00:12:30.090 idea, instead of coming up with five on your 00:12:30.090 --> 00:12:32.990 own, you can have the AI generate 50 options 00:12:32.990 --> 00:12:35.519 to review. And the law of large numbers just 00:12:35.519 --> 00:12:37.360 kicks in. Reviewing 50 options is just going 00:12:37.360 --> 00:12:39.919 to yield more gems than reviewing five. Right. 00:12:39.980 --> 00:12:43.039 So integrating AI into a system like Notion is 00:12:43.039 --> 00:12:44.919 all about preserving that institutional knowledge 00:12:44.919 --> 00:12:48.279 and cutting down on that unnecessary task switching. 00:12:48.480 --> 00:12:52.440 After all that, what does this all mean? After 00:12:52.440 --> 00:12:55.820 systematically testing 289 tools, the finding 00:12:55.820 --> 00:12:58.720 is pretty profound. The core non -negotiable 00:12:58.720 --> 00:13:02.879 stack. Google AI Studio, ChatGPT, Notebook LM, 00:13:03.200 --> 00:13:05.679 Notion, and the others. It only costs around 00:13:05.679 --> 00:13:08.419 $30 to $50 a month combined. Which raises a really 00:13:08.419 --> 00:13:10.600 important question. The real lesson here is that 00:13:10.600 --> 00:13:12.899 tools are cheap. Effective systems are rare. 00:13:13.200 --> 00:13:15.019 You don't make money just by having a ChatGPT 00:13:15.019 --> 00:13:17.480 subscription. No, you make money by having a 00:13:17.480 --> 00:13:20.659 workflow. A system that uses Notebook LM to research, 00:13:20.860 --> 00:13:23.639 then Google AI Studio to draft, and then create 00:13:23.639 --> 00:13:27.179 UGC to produce testable ads. The income comes 00:13:27.179 --> 00:13:30.139 entirely from that process flow. the system you 00:13:30.139 --> 00:13:32.639 build on top of this very cheap toolbox. Your 00:13:32.639 --> 00:13:34.659 job now is to look at your own money -making 00:13:34.659 --> 00:13:38.080 process, find the bottleneck, and then apply 00:13:38.080 --> 00:13:40.340 the specific tool from this stack that removes 00:13:40.340 --> 00:13:42.779 that one constraint. And if the power of a tool 00:13:42.779 --> 00:13:45.440 like Build Your Store means you can test five 00:13:45.440 --> 00:13:48.299 businesses in a week... Then the ultimate constraint 00:13:48.299 --> 00:13:50.960 on your success is no longer production. It's 00:13:50.960 --> 00:13:54.299 not labor. It's idea generation. It's disciplined 00:13:54.299 --> 00:13:57.620 execution. So consider this. If you can use these 00:13:57.620 --> 00:13:59.860 eight tools to eliminate most of the manual labor 00:13:59.860 --> 00:14:02.519 and the high upfront costs from your workflow, 00:14:02.759 --> 00:14:05.039 where does your creativity need to focus next? 00:14:05.340 --> 00:14:07.240 Go build the system. Thank you for joining us 00:14:07.240 --> 00:14:08.740 for this deep dive. We'll see you next time.