WEBVTT 00:00:00.000 --> 00:00:02.560 If you've been following the AI scene for the 00:00:02.560 --> 00:00:05.320 last couple of years, it often feels like success 00:00:05.320 --> 00:00:07.860 means building the most technically complicated 00:00:07.860 --> 00:00:10.599 thing, or maybe just being fastest on the draw 00:00:10.599 --> 00:00:13.080 with every new tool that drops. But here's the 00:00:13.080 --> 00:00:14.880 big surprise, the thing that really flips the 00:00:14.880 --> 00:00:17.300 script, that the most successful folks in this 00:00:17.300 --> 00:00:22.059 space figured out, profiting from AI. It's not 00:00:22.059 --> 00:00:25.100 really about your tech skills, not primarily 00:00:25.100 --> 00:00:27.140 anyway, it's almost entirely about strategy. 00:00:27.550 --> 00:00:29.850 Yeah. Strategic thinking. The kind of insight 00:00:29.850 --> 00:00:32.729 that led agencies like True Horizon that our 00:00:32.729 --> 00:00:35.090 sources mentioned scale up past two and a half 00:00:35.090 --> 00:00:37.310 million dollars a year. They didn't win with 00:00:37.310 --> 00:00:39.789 some secret sauce prompt. They won because they 00:00:39.789 --> 00:00:42.170 really got these four kind of non -obvious lessons 00:00:42.170 --> 00:00:45.210 about how businesses actually use and pay for 00:00:45.210 --> 00:00:47.750 AI automation. Right. So welcome to the deep 00:00:47.750 --> 00:00:50.189 dive. Today, our mission is basically to cut 00:00:50.189 --> 00:00:52.399 through all that noise. You know, the social 00:00:52.399 --> 00:00:54.159 media hype, the constant buzz. We're going to 00:00:54.159 --> 00:00:56.280 zero in on the strategic secrets, the things 00:00:56.280 --> 00:00:58.399 that really separate the generalists, the ones 00:00:58.399 --> 00:01:00.780 stuck competing on price, from the true experts 00:01:00.780 --> 00:01:03.960 who can command those premium fees. We'll unpack 00:01:03.960 --> 00:01:06.879 these four big shifts, moving from thinking about 00:01:06.879 --> 00:01:08.819 full replacement to thinking about leverage, 00:01:09.019 --> 00:01:11.700 then moving from breadth to depth, from complexity 00:01:11.700 --> 00:01:13.879 towards simplicity, and maybe most importantly, 00:01:14.060 --> 00:01:16.200 shifting focus from just prompts to the actual 00:01:16.200 --> 00:01:18.959 process. Let's dive into that first big one, 00:01:19.079 --> 00:01:22.540 the failed promise of 100 % automation. Okay, 00:01:22.579 --> 00:01:24.219 yeah, let's rewind a bit, a little tech nostalgia. 00:01:24.280 --> 00:01:28.859 Think back to, say, 2022, early 2023. The hype 00:01:28.859 --> 00:01:31.579 cycle was intense. Remember tools like AutoGPT? 00:01:31.700 --> 00:01:34.200 They were everywhere. And the promise was huge. 00:01:34.540 --> 00:01:37.000 End -to -end autonomous agents doing everything. 00:01:37.239 --> 00:01:39.439 Booking meetings, researching markets, even writing 00:01:39.439 --> 00:01:42.519 code. Zero human needed. It honestly felt like 00:01:42.519 --> 00:01:44.700 science fiction becoming real. A lot of us, I 00:01:44.700 --> 00:01:46.799 think, really believed that, you know, full AI 00:01:46.799 --> 00:01:48.319 replacement was just around the corner. Just 00:01:48.319 --> 00:01:51.560 one software update away, beat. But then reality 00:01:51.560 --> 00:01:53.819 hit. For businesses actually trying to use these 00:01:53.819 --> 00:01:57.019 early systems, it was, well, pretty brutal. It 00:01:57.019 --> 00:01:59.420 really was. In the real world, those fully autonomous 00:01:59.420 --> 00:02:01.400 systems, they turned out to be super fragile. 00:02:01.819 --> 00:02:04.219 fundamentally fragile. They'd break the second 00:02:04.219 --> 00:02:07.099 they hit any real world messiness, like a spreadsheet 00:02:07.099 --> 00:02:09.520 formatted slightly wrong or, you know, an unexpected 00:02:09.520 --> 00:02:11.800 question from a stakeholder. Often they just 00:02:11.800 --> 00:02:14.580 created more work, more bottlenecks than the 00:02:14.580 --> 00:02:16.659 old manual way they were supposed to replace. 00:02:16.840 --> 00:02:19.360 Right. So the big takeaway there, full automation, 00:02:19.520 --> 00:02:22.379 at least in that sense, is fragile. The real 00:02:22.379 --> 00:02:24.180 insight that came out of those early struggles 00:02:24.180 --> 00:02:26.800 wasn't about replacing humans. It was about leverage. 00:02:27.120 --> 00:02:29.889 Exactly. Leverage. It's a total mindset shift. 00:02:30.069 --> 00:02:32.710 The goal isn't human replacement. It's human 00:02:32.710 --> 00:02:35.669 amplification. You use AI to get rid of the boring, 00:02:35.889 --> 00:02:38.990 the repetitive, the soul -crushing stuff so your 00:02:38.990 --> 00:02:41.229 human experts can focus on the high -value tasks, 00:02:41.430 --> 00:02:44.090 the things needing creativity or empathy. And 00:02:44.090 --> 00:02:46.210 this idea kind of crystallized into a really 00:02:46.210 --> 00:02:49.150 useful strategic framework, the golden AI ratio. 00:02:49.370 --> 00:02:51.610 The golden AI ratio. Okay, so this is the mix 00:02:51.610 --> 00:02:53.449 that actually delivers business value consistently. 00:02:53.610 --> 00:02:55.949 It breaks down like this. 60 % full automation. 00:02:56.639 --> 00:02:59.979 30 % AI -assisted, and 10 % fully manual. Right, 00:03:00.060 --> 00:03:02.199 and that's 60%. That's your low -hanging fruit. 00:03:02.580 --> 00:03:05.120 Target the really boring, repetitive, rule -based 00:03:05.120 --> 00:03:07.560 stuff. Data entry, scheduling basic meetings, 00:03:07.659 --> 00:03:10.680 status updates. The key is, these tasks don't 00:03:10.680 --> 00:03:13.580 need complex judgment. And honestly, often you 00:03:13.580 --> 00:03:15.939 don't even need fancy AI here. Basic tools like 00:03:15.939 --> 00:03:18.560 Zapier or Make .com, perfectly fine for just 00:03:18.560 --> 00:03:21.310 moving data around reliably. Okay, so 60 % is 00:03:21.310 --> 00:03:23.509 the simple repetitive stuff. What about the 30 00:03:23.509 --> 00:03:26.610 % AI -assisted? That's where AI becomes a real 00:03:26.610 --> 00:03:29.129 co -pilot. Tasks needing some context, maybe 00:03:29.129 --> 00:03:31.849 a bit of creativity. Think generating first drafts 00:03:31.849 --> 00:03:33.930 for emails or summarizing a massive research 00:03:33.930 --> 00:03:35.949 report or maybe drafting a marketing message 00:03:35.949 --> 00:03:38.550 for a specific type of customer. The AI does 00:03:38.550 --> 00:03:41.150 the heavy lifting, but the human provides that 00:03:41.150 --> 00:03:43.849 crucial final judgment, the polish, the personalization. 00:03:44.009 --> 00:03:46.229 And the last 10 % fully manual? Absolutely secret. 00:03:46.409 --> 00:03:48.500 This stuff must stay manual. Complex negotiations, 00:03:49.139 --> 00:03:51.680 high -stakes decisions, real relationship building, 00:03:51.840 --> 00:03:54.419 anything requiring genuine human empathy. Try 00:03:54.419 --> 00:03:56.360 automating this 10%. You're basically asking 00:03:56.360 --> 00:03:59.099 for trouble. Legal issues, alienated clients, 00:03:59.379 --> 00:04:01.319 you name it. Let's make this concrete with that 00:04:01.319 --> 00:04:04.240 lead follow -up example. So the 60 % automated 00:04:04.240 --> 00:04:07.240 tasks would be things like logging new lead info 00:04:07.240 --> 00:04:10.139 into the CRM, right? Or maybe qualifying leads 00:04:10.139 --> 00:04:12.379 based on simple rules, scheduling those first 00:04:12.379 --> 00:04:16.589 intro calls. Exactly. Then the 30%. The AI -assisted 00:04:16.589 --> 00:04:19.449 part is where AI analyzes the lead data company 00:04:19.449 --> 00:04:22.569 size, industry, their role, and drafts a really 00:04:22.569 --> 00:04:25.149 personalized outreach message. Then the human 00:04:25.149 --> 00:04:27.029 reviews it, maybe adds a quick personal note, 00:04:27.089 --> 00:04:30.189 and hits send. Or AI could generate a pre -call 00:04:30.189 --> 00:04:32.569 brief, summarizing everything so the salesperson 00:04:32.569 --> 00:04:35.240 walks in prepared. And the 10%, that's still 00:04:35.240 --> 00:04:37.680 the human closing the deal, handling tricky objections, 00:04:37.860 --> 00:04:40.120 building that long -term strategic relationship, 00:04:40.540 --> 00:04:43.579 the stuff that builds real trust. And the 603010 00:04:43.579 --> 00:04:45.600 idea, it works across the board, right? Finance, 00:04:45.600 --> 00:04:48.560 marketing, operations. Totally. And it's also 00:04:48.560 --> 00:04:50.980 how you actually show the value to a client or 00:04:50.980 --> 00:04:53.980 your boss. If you can automate, say, 70 % of 00:04:53.980 --> 00:04:56.040 a process that used to take 10 hours, well, you 00:04:56.040 --> 00:04:57.800 just found seven hours of savings every single 00:04:57.800 --> 00:05:00.000 time. That system runs. That's leverage. That's 00:05:00.000 --> 00:05:02.300 measurable ROI they can understand. Okay, so. 00:05:02.800 --> 00:05:05.259 If this golden ratio is so broadly applicable, 00:05:05.579 --> 00:05:07.939 what's the number one mistake people make when 00:05:07.939 --> 00:05:10.079 they try to figure out their 60 %? Where do they 00:05:10.079 --> 00:05:13.379 go wrong? Probably targeting tasks that need 00:05:13.379 --> 00:05:15.899 complex judgment way too early. That just makes 00:05:15.899 --> 00:05:18.160 the whole system shaky. Instability. Yeah, the 00:05:18.160 --> 00:05:20.180 enemy of actually getting things done at scale. 00:05:20.439 --> 00:05:23.860 Which leads us right into lesson two, depth over 00:05:23.860 --> 00:05:27.519 breadth. Go deep, not wide. Oh, yeah. This is 00:05:27.519 --> 00:05:29.939 a big one. When people first get into AI automation, 00:05:30.220 --> 00:05:32.420 the natural urge is to go wide, right? You fall 00:05:32.420 --> 00:05:34.360 into the tool trap. You feel like you have to 00:05:34.360 --> 00:05:36.379 learn every single new platform that pops up, 00:05:36.420 --> 00:05:38.980 and lovable, whatever new agent framework went 00:05:38.980 --> 00:05:41.259 viral this week. And you try to say yes to every 00:05:41.259 --> 00:05:43.899 potential client, no matter their industry, gyms, 00:05:43.959 --> 00:05:46.160 e -commerce, dentists, whatever. I definitely 00:05:46.160 --> 00:05:48.459 know that feeling. It's that shiny object syndrome 00:05:48.459 --> 00:05:50.540 and it's everywhere. Honestly, I still wrestle 00:05:50.540 --> 00:05:52.339 with prompt drift myself sometimes when I see 00:05:52.339 --> 00:05:54.139 some cool new agents set up. It is genuinely 00:05:54.139 --> 00:05:57.279 hard to stay focused. The pace is just wild. 00:05:57.500 --> 00:05:59.680 You feel like you'll miss out. But going wide 00:05:59.680 --> 00:06:01.800 like that, it makes you a jack of all trades, 00:06:01.959 --> 00:06:05.079 master of none. That's the killer. You end up 00:06:05.079 --> 00:06:07.519 knowing a tiny bit about five different tools, 00:06:07.579 --> 00:06:10.019 but not enough about any single one to solve 00:06:10.019 --> 00:06:12.399 the really thorny high value problems reliably. 00:06:12.620 --> 00:06:15.199 And then you're just competing on price because 00:06:15.199 --> 00:06:18.360 your solution isn't special. So the experts, 00:06:18.480 --> 00:06:21.279 they flip this. They use the inch wide mile beep 00:06:21.279 --> 00:06:24.569 strategy. Like mining for diamonds, you go deep 00:06:24.569 --> 00:06:27.110 in one spot. You pick one core automation tool, 00:06:27.209 --> 00:06:30.250 maybe it's NAN, maybe make .com, and you commit. 00:06:30.310 --> 00:06:33.170 You really master it. You become the NAN expert 00:06:33.170 --> 00:06:36.230 for logistics or the make .com guru for sauce 00:06:36.230 --> 00:06:38.329 companies. Exactly. And that focused authority, 00:06:38.629 --> 00:06:40.649 it's magnetic. It pulls in those specialized, 00:06:40.910 --> 00:06:43.050 high -value clients who desperately need your 00:06:43.050 --> 00:06:45.589 specific expertise. Plus, think about the time 00:06:45.589 --> 00:06:47.730 you save. Mastering one tool instead of just 00:06:47.730 --> 00:06:49.910 dabbling in five, you reinvest that time into 00:06:49.910 --> 00:06:53.129 understanding real business problems. side. That 00:06:53.129 --> 00:06:56.389 deep application knowledge, knowing one industry's 00:06:56.389 --> 00:06:58.589 specific challenges, their regulations, their 00:06:58.589 --> 00:07:01.930 KPIs, better than anyone else, that's the competitive 00:07:01.930 --> 00:07:04.209 advantage. That's your moat. That's what lets 00:07:04.209 --> 00:07:07.490 you charge premium rates. So focus isn't limiting. 00:07:07.589 --> 00:07:10.189 It actually clarifies your value. And it's the 00:07:10.189 --> 00:07:12.250 same for marketing yourself too, right? Beginners 00:07:12.250 --> 00:07:15.389 spray and pray TikTok, LinkedIn, YouTube, everywhere 00:07:15.389 --> 00:07:17.610 at once. Specialists pick one main platform, 00:07:17.810 --> 00:07:20.410 go super deep, build real authority there first, 00:07:20.509 --> 00:07:22.709 and then maybe expand. It compounds. way faster. 00:07:22.990 --> 00:07:25.569 So if that focused approach gives such a big 00:07:25.569 --> 00:07:28.490 edge, how fast can a generalist really catch 00:07:28.490 --> 00:07:31.649 up to a specialist who's gone deep? Pretty slowly, 00:07:31.769 --> 00:07:34.029 honestly, because the specialist just solves 00:07:34.029 --> 00:07:36.509 the core problems more reliably, more consistently. 00:07:36.829 --> 00:07:39.670 Expertise compounds. Reliability again. OK, perfect 00:07:39.670 --> 00:07:42.370 segue to lesson three. Complexity kills simplicity 00:07:42.370 --> 00:07:44.709 scales. Right. We've all seen those demos, haven't 00:07:44.709 --> 00:07:46.750 we? There's incredibly complex systems. They 00:07:46.750 --> 00:07:49.550 look amazing on screen, like a Jenga tower, 15 00:07:49.550 --> 00:07:51.930 steps, 10 different AI agents passing data back 00:07:51.930 --> 00:07:54.430 and forth. Super cutting edge look. But they 00:07:54.430 --> 00:07:56.370 lack real world robustness. They're brittle. 00:07:56.490 --> 00:07:58.589 Yeah. The second one little thing changes in 00:07:58.589 --> 00:08:01.350 API updates. One agent misunderstands a prompt 00:08:01.350 --> 00:08:04.050 slightly. The whole tower just collapses. But 00:08:04.050 --> 00:08:06.810 businesses, they don't actually care about the 00:08:06.810 --> 00:08:08.709 fancy architecture. They don't care about the 00:08:08.709 --> 00:08:11.610 nodes, the API calls, the technical wizardry. 00:08:11.810 --> 00:08:14.069 Nope. They care about three very simple things. 00:08:14.290 --> 00:08:18.089 Does it save time? Does it make money? And crucially, 00:08:18.189 --> 00:08:21.370 does it work consistently? every single time. 00:08:21.850 --> 00:08:24.329 Consistency is everything. So a really simple 00:08:24.329 --> 00:08:26.490 workflow, maybe just three steps, maybe it looks 00:08:26.490 --> 00:08:29.050 kind of boring technically. But if it reliably 00:08:29.050 --> 00:08:31.750 saves 100 hours a month, that's infinitely more 00:08:31.750 --> 00:08:35.029 valuable than some flashy 10 agent system that 00:08:35.029 --> 00:08:37.110 breaks every other way and needs constant fixing. 00:08:37.649 --> 00:08:40.330 Reliability beats complexity, hands down. Exactly. 00:08:40.529 --> 00:08:42.809 The value comes from the outcome. from the usability 00:08:42.809 --> 00:08:44.929 and the reliability, not from how clever the 00:08:44.929 --> 00:08:47.409 engineering was. And this leads to a really powerful 00:08:47.409 --> 00:08:49.610 kind of counterintuitive optimization strategy. 00:08:50.330 --> 00:08:52.889 Actively try to remove decision -making AI from 00:08:52.889 --> 00:08:54.950 your workflows where possible. Wait, remove the 00:08:54.950 --> 00:08:57.309 AI? That sounds almost like heresy to a developer. 00:08:57.409 --> 00:08:59.169 Why would you swap out AI reasoning for something 00:08:59.169 --> 00:09:02.590 simpler? Because if a basic logic step, just 00:09:02.590 --> 00:09:05.830 a standard, if this, then that can achieve the 00:09:05.830 --> 00:09:09.110 same outcome as a complex language model. The 00:09:09.110 --> 00:09:11.509 simpler logic is usually more stable, way cheaper 00:09:11.509 --> 00:09:14.090 to run, and much faster to debug if something 00:09:14.090 --> 00:09:16.970 goes wrong. You swap complexity for simplicity 00:09:16.970 --> 00:09:20.289 whenever stability is the priority. Whoa. Okay, 00:09:20.389 --> 00:09:24.129 imagine that. A simple, stable, maybe three -step 00:09:24.129 --> 00:09:27.710 process costs maybe $20 a month to run, but it 00:09:27.710 --> 00:09:29.950 consistently supports a business scaling up to 00:09:29.950 --> 00:09:32.710 millions, maybe even a billion queries or transactions 00:09:32.710 --> 00:09:35.980 a year. boring is beautiful then predictability 00:09:35.980 --> 00:09:38.340 is your absolute best friend it's a tough mindset 00:09:38.340 --> 00:09:40.759 shift though because those flashy complex systems 00:09:40.759 --> 00:09:42.320 they're the ones that get all the attention on 00:09:42.320 --> 00:09:44.100 social media right they get the views the likes 00:09:44.100 --> 00:09:47.019 but they rarely drive sustainable paid business 00:09:47.019 --> 00:09:49.320 results so thinking about that why are content 00:09:49.320 --> 00:09:51.740 creators maybe partly to blame for this misconception 00:09:51.740 --> 00:09:54.220 around complexity why do we see so much of the 00:09:54.220 --> 00:09:56.919 flashy stuff well flashy super agentic systems 00:09:56.919 --> 00:10:00.000 get clicks and views but stable simple systems 00:10:00.409 --> 00:10:02.370 Those get the paying clients. The hype isn't 00:10:02.370 --> 00:10:05.210 where the real money is. Right. That leads us 00:10:05.210 --> 00:10:07.870 perfectly into our final strategic lesson, lesson 00:10:07.870 --> 00:10:11.480 four, process over prompts. And this feels like 00:10:11.480 --> 00:10:14.039 where the real strategic mastery comes in. Yeah, 00:10:14.120 --> 00:10:16.720 absolutely. Beginners tend to obsess over the 00:10:16.720 --> 00:10:19.360 tool itself. They focus on the prompt, how the 00:10:19.360 --> 00:10:21.539 workflow looks visually, which is a specific 00:10:21.539 --> 00:10:24.039 AI model they're using. They think the tool is 00:10:24.039 --> 00:10:26.120 the solution. But the real challenge, the fundamental 00:10:26.120 --> 00:10:28.779 thing, is understanding the underlying business 00:10:28.779 --> 00:10:30.940 process that the tool is supposed to improve. 00:10:31.299 --> 00:10:33.509 You know that old saying? Automating chaos just 00:10:33.509 --> 00:10:36.070 creates faster chaos. If the process is broken, 00:10:36.289 --> 00:10:38.549 automating it just makes the mess happen quicker. 00:10:38.789 --> 00:10:40.889 We use the doctor -patient analogy for this. 00:10:41.009 --> 00:10:43.029 A good doctor can't just prescribe medicine the 00:10:43.029 --> 00:10:44.909 tool without first understanding the patient's 00:10:44.909 --> 00:10:48.289 biology, right? The underlying system, the process. 00:10:48.549 --> 00:10:51.070 What depends on what? Where are the current failure 00:10:51.070 --> 00:10:53.389 points? What other systems does it touch? If 00:10:53.389 --> 00:10:55.850 you just blindly throw the fanciest AI workflow 00:10:55.850 --> 00:10:59.049 at a fundamentally broken process, like, say, 00:10:59.149 --> 00:11:01.639 a sales team. That doesn't track their leads 00:11:01.639 --> 00:11:04.220 properly. Yeah. It's going to fail. It'll crash 00:11:04.220 --> 00:11:06.240 right into all the messy operational details 00:11:06.240 --> 00:11:07.799 you didn't take the time to understand first. 00:11:08.019 --> 00:11:11.940 And here's a tough one. Sometimes after you really 00:11:11.940 --> 00:11:14.919 dig into the process, you realize AI isn't actually 00:11:14.919 --> 00:11:18.019 the right answer. Our sources really emphasize 00:11:18.019 --> 00:11:20.860 this ethical responsibility. You have to recommend 00:11:20.860 --> 00:11:23.840 the best fix, even if it's just, say, setting 00:11:23.840 --> 00:11:25.899 up their CRM better or cleaning up a database 00:11:25.899 --> 00:11:28.139 or maybe just using a simple off -the -shelf 00:11:28.139 --> 00:11:30.620 software that already solves that specific friction 00:11:30.620 --> 00:11:32.899 point, even if you don't get to build the shiny 00:11:32.899 --> 00:11:36.320 AI thing. Exactly. Your main job, before you 00:11:36.320 --> 00:11:38.080 write a single line of code or connect a single 00:11:38.080 --> 00:11:41.059 node, is to study. Map out the current process. 00:11:41.279 --> 00:11:43.139 Figure out which parts are repetitive, that's 00:11:43.139 --> 00:11:46.080 your 60 % automation target, which parts need 00:11:46.080 --> 00:11:48.179 judgment, that's your 30 % assistance target, 00:11:48.340 --> 00:11:51.019 and which parts are purely human touch. There's 00:11:51.019 --> 00:11:53.259 that strategic time allocation rule again, which 00:11:53.259 --> 00:11:55.659 really nails this. Spend 80 % of your time understanding. 00:11:55.899 --> 00:11:58.120 Understanding the process, the users, the data, 00:11:58.179 --> 00:12:00.600 the goals. Only 20 % of your time should actually 00:12:00.600 --> 00:12:03.159 be spent building the solution. That 80 -20 split, 00:12:03.320 --> 00:12:05.799 it's pretty much non -negotiable for long -term 00:12:05.799 --> 00:12:08.080 success. And it frees you from chasing perfection 00:12:08.080 --> 00:12:11.460 right out of the gate. You embrace the MVP, the 00:12:11.460 --> 00:12:13.200 minimum viable product, get something small, 00:12:13.299 --> 00:12:15.179 something valuable deployed quickly, and then 00:12:15.179 --> 00:12:18.259 iterate fast. Learn from real -world user feedback. 00:12:18.399 --> 00:12:20.320 That's how you actually make progress. Okay, 00:12:20.360 --> 00:12:22.419 so if understanding the process is absolutely 00:12:22.419 --> 00:12:24.860 fundamental, what's the single fastest way to 00:12:24.860 --> 00:12:27.580 completely kill a promising new automation project? 00:12:28.019 --> 00:12:30.279 Easy. Plugging it straight into a fundamentally 00:12:30.279 --> 00:12:33.220 broken process. Just automating the existing 00:12:33.220 --> 00:12:36.419 inefficiency. Faster chaos, like we said. Sponsored. 00:12:36.649 --> 00:12:38.230 All right, let's just quickly pull these four 00:12:38.230 --> 00:12:40.669 core strategic ideas together. These are the 00:12:40.669 --> 00:12:42.549 shifts that really create that competitive edge 00:12:42.549 --> 00:12:45.389 in the AI automation world. Okay, first, ditch 00:12:45.389 --> 00:12:48.110 the quest for 100 % replacement. Focus instead 00:12:48.110 --> 00:12:51.710 on leverage. Use that 6 or 30 -10 ratio. Amplify 00:12:51.710 --> 00:12:54.049 your human experts. Automate the boring stuff. 00:12:54.250 --> 00:12:57.129 Second, prioritize depths over breadth. Go an 00:12:57.129 --> 00:12:59.970 inch wide and a mile deep. Master one core tool, 00:13:00.169 --> 00:13:03.870 one client niche, that focused expertise. That's 00:13:03.870 --> 00:13:07.100 what attracts the premium clients. Third, remember 00:13:07.100 --> 00:13:10.320 simplicity scales. Reliability is absolutely 00:13:10.320 --> 00:13:13.399 king. Sometimes boring is beautiful. Actively 00:13:13.399 --> 00:13:16.320 simplify. Aim for stability. That's what businesses 00:13:16.320 --> 00:13:18.860 value and pay for consistently. And finally, 00:13:18.940 --> 00:13:22.340 number four, always focus on process over prompts. 00:13:22.840 --> 00:13:26.039 Study before you build. Invest that 80 % of your 00:13:26.039 --> 00:13:28.240 time up front understanding the user, the system, 00:13:28.360 --> 00:13:31.120 the real problem, before you even think about 00:13:31.120 --> 00:13:33.759 the specific tool or prompt. And this strategic 00:13:33.759 --> 00:13:36.460 mindset, it has really direct applications for 00:13:36.460 --> 00:13:38.039 different people listening. If you're a service 00:13:38.039 --> 00:13:40.899 provider, an agency, your real value isn't just 00:13:40.899 --> 00:13:44.000 the build. It's in that 80%, the strategic insight, 00:13:44.220 --> 00:13:47.299 the diagnosis, the communication. And if you're 00:13:47.299 --> 00:13:50.200 a business owner, use that 6R3010 leverage idea 00:13:50.200 --> 00:13:52.419 to find opportunities inside your own company. 00:13:52.720 --> 00:13:55.480 But start small. Nail a simple two -step problem 00:13:55.480 --> 00:13:58.419 before you tackle a 10 -step monster. And for 00:13:58.419 --> 00:14:00.539 the developers listening, prioritize stability 00:14:00.539 --> 00:14:02.620 and simplicity. Don't just build for technical 00:14:02.620 --> 00:14:04.879 impressiveness. Design for real -world usability, 00:14:05.220 --> 00:14:07.259 for reliability. That's what matters long -term. 00:14:07.440 --> 00:14:09.720 Look, the AI gold rush is definitely happening 00:14:09.720 --> 00:14:12.100 now. But the winners aren't going to be the ones 00:14:12.100 --> 00:14:14.960 with just the fanciest, flashiest tools. Success. 00:14:15.500 --> 00:14:17.940 belongs to the strategic partners, the ones who 00:14:17.940 --> 00:14:19.899 understand how to solve real business problems 00:14:19.899 --> 00:14:24.340 effectively, reliably, and often quite simply. 00:14:24.480 --> 00:14:26.139 So here's something to think about before you 00:14:26.139 --> 00:14:28.539 jump into your next automation project. Which 00:14:28.539 --> 00:14:31.419 core business process in your work or your company 00:14:31.419 --> 00:14:34.460 really needs some serious mapping, some deep 00:14:34.460 --> 00:14:37.139 conversations with the people involved before 00:14:37.139 --> 00:14:40.580 you even think about plugging in any AI? probably 00:14:40.580 --> 00:14:43.100 start right there. That shift in thinking from 00:14:43.100 --> 00:14:45.639 just being a tech implementer to becoming a true 00:14:45.639 --> 00:14:48.379 strategic partner, that's the real key. That's 00:14:48.379 --> 00:14:50.440 how you build a profitable, sustainable path 00:14:50.440 --> 00:14:52.720 forward in this incredibly fast -moving era. 00:14:53.000 --> 00:14:55.120 Thanks for diving deep with us today. We'll see 00:14:55.120 --> 00:14:55.539 you next time.