WEBVTT 00:00:00.000 --> 00:00:03.700 Right now, while you're sleeping, a piece of 00:00:03.700 --> 00:00:06.040 software is actually working. Yeah, it's not 00:00:06.040 --> 00:00:08.220 just, you know, passively waiting for your next 00:00:08.220 --> 00:00:09.980 command. It could be sending targeted emails. 00:00:10.160 --> 00:00:13.519 It could be analyzing massive spreadsheets. Or 00:00:13.519 --> 00:00:15.740 it could even be booking lucrative meetings. 00:00:16.179 --> 00:00:18.640 It isn't just generating text anymore. It's taking 00:00:18.640 --> 00:00:21.219 concrete action on your behalf. Intro music. 00:00:21.440 --> 00:00:23.519 Exactly. It's stepping out of the chat box entirely. 00:00:23.820 --> 00:00:26.339 Welcome back to the Deep Dive. It's genuinely 00:00:26.339 --> 00:00:28.339 great to have you sitting here with us. Today 00:00:28.339 --> 00:00:29.960 we're kind of slowing things down a little bit. 00:00:30.100 --> 00:00:33.079 We're unpacking a really fascinating source document 00:00:33.079 --> 00:00:36.359 today. It outlines seven specific AI business 00:00:36.359 --> 00:00:39.640 ideas you can launch. And the truly wild part 00:00:39.640 --> 00:00:42.119 about all this. You can start these businesses 00:00:42.119 --> 00:00:45.579 with almost zero upfront money. Two secs silence. 00:00:46.159 --> 00:00:48.619 Okay, let's unpack this because the entire digital 00:00:48.619 --> 00:00:51.000 landscape is shifting incredibly rapidly today. 00:00:51.159 --> 00:00:53.259 It really is shifting right under our feet. The 00:00:53.259 --> 00:00:55.920 core thesis here is a massive paradigm shift. 00:00:56.439 --> 00:00:58.880 We're finally moving away from basic generative 00:00:58.880 --> 00:01:02.100 AI. That was the era of writing a simple text 00:01:02.100 --> 00:01:04.420 prompt. You'd get text back. Right. And then 00:01:04.420 --> 00:01:07.180 you manually copy paste it somewhere else. Exactly. 00:01:07.239 --> 00:01:09.780 It was essentially just a really smart, autocomplete 00:01:09.780 --> 00:01:13.400 function. Now we're fully entering the era of 00:01:13.400 --> 00:01:15.640 agentic AI. We should definitely define that 00:01:15.640 --> 00:01:19.019 term for clarity. Agentic AI takes action on 00:01:19.019 --> 00:01:21.879 its own instead of just chatting. Yeah. It actually 00:01:21.879 --> 00:01:23.879 does the clicking and typing for you. It logs 00:01:23.879 --> 00:01:26.560 into websites and runs the entire process. It 00:01:26.560 --> 00:01:29.079 navigates the software exactly like a human employee 00:01:29.079 --> 00:01:31.599 would. The source text uses a really brilliant 00:01:31.599 --> 00:01:34.590 analogy. here. It compares traditional software 00:01:34.590 --> 00:01:37.909 tools to intelligent systems. A tool is basically 00:01:37.909 --> 00:01:39.930 like a hammer in your garage. You still have 00:01:39.930 --> 00:01:41.489 to physically pick it up and swing it. Right, 00:01:41.489 --> 00:01:43.209 and if you stop swinging, the work completely 00:01:43.209 --> 00:01:45.530 stops. But a system is a completely different 00:01:45.530 --> 00:01:48.049 beast altogether. A system is a machine that 00:01:48.049 --> 00:01:50.730 runs 24 -7. You basically build the machine one 00:01:50.730 --> 00:01:53.329 single time up front. Then it operates continuously 00:01:53.329 --> 00:01:56.349 without your daily manual input. It fundamentally 00:01:56.349 --> 00:01:58.670 separates your personal time from your earning 00:01:58.670 --> 00:02:01.920 potential. Two sec silence. So how do we actually 00:02:01.920 --> 00:02:04.659 apply this? Let's examine the first concept from 00:02:04.659 --> 00:02:07.140 our source material. It focuses on building a 00:02:07.140 --> 00:02:10.479 highly automated local ad agency. We're targeting 00:02:10.479 --> 00:02:12.500 local brick and mortar businesses. Like, you 00:02:12.500 --> 00:02:15.659 know, car dealerships or local plumbers. Exactly. 00:02:16.180 --> 00:02:19.099 Because they desperately need meta ads to survive 00:02:19.099 --> 00:02:22.060 today. But they completely lack the technical 00:02:22.060 --> 00:02:24.960 skills to run them. Historically, doing this 00:02:24.960 --> 00:02:27.939 properly required a whole agency team. You needed 00:02:27.939 --> 00:02:30.819 a specialized graphic designer for the creatives, 00:02:30.960 --> 00:02:33.240 you needed a trained copywriter to draft the 00:02:33.240 --> 00:02:35.960 text, and an account manager to handle the actual 00:02:35.960 --> 00:02:38.699 client. It was a very expensive, clunky, and 00:02:38.699 --> 00:02:41.300 slow -moving process. But today, you can build 00:02:41.300 --> 00:02:43.979 an automated system instead. The document breaks 00:02:43.979 --> 00:02:47.180 this down into four specific steps. First, you 00:02:47.180 --> 00:02:49.460 create a strict brand guideline for the client. 00:02:49.599 --> 00:02:51.800 You define their exact colors and their overall 00:02:51.800 --> 00:02:54.500 vibe. Right. Then you upload that context into 00:02:54.500 --> 00:02:56.819 Claude as a project. So it acts like a digital 00:02:56.819 --> 00:02:59.479 brain with rules. Yeah. That customized context 00:02:59.479 --> 00:03:02.319 window stays active forever. Step two involves 00:03:02.319 --> 00:03:05.180 deep AI market research. The system scrapes the 00:03:05.180 --> 00:03:08.039 Facebook ad library automatically. It analyzes 00:03:08.039 --> 00:03:10.460 50 of their competitors' recent ads in minutes. 00:03:10.719 --> 00:03:12.659 Step three is where the architecture gets really 00:03:12.659 --> 00:03:15.099 fascinating. We connect directly to the dealership's 00:03:15.099 --> 00:03:17.919 live inventory. You use a visual scraping tool 00:03:17.919 --> 00:03:21.939 like Browse .ai. It visually identifies every 00:03:21.939 --> 00:03:25.340 single used SUV currently in stock. It doesn't 00:03:25.340 --> 00:03:27.379 require any complex coding to work properly, 00:03:28.060 --> 00:03:30.259 which seamlessly leads right into step four. 00:03:30.490 --> 00:03:33.330 the generation phase. The AI writes the copy 00:03:33.330 --> 00:03:36.009 and generates the image. Then it directly logs 00:03:36.009 --> 00:03:38.669 into MedEd's manager for you. It sets up the 00:03:38.669 --> 00:03:41.949 entire campaign without manual clicks. The specific 00:03:41.949 --> 00:03:44.889 prompt detail in the document is incredibly revealing. 00:03:45.270 --> 00:03:48.310 You tell the agent to focus only on used SUVs. 00:03:48.409 --> 00:03:51.030 You ask it to pull the top three financial offers. 00:03:51.389 --> 00:03:53.330 Things like zero dollars down at signing for 00:03:53.330 --> 00:03:56.530 new buyers. And you demand five human sounding, 00:03:56.530 --> 00:03:58.870 engaging headlines. The final output ends up 00:03:58.870 --> 00:04:00.909 being incredibly targeted. And the financial 00:04:00.909 --> 00:04:03.509 business model here is just beautiful. You charge 00:04:03.509 --> 00:04:06.830 a flat $1 ,000 to $2 ,000 monthly. That flat 00:04:06.830 --> 00:04:08.990 fee is psychologically appealing to a local shop. 00:04:09.129 --> 00:04:11.310 They absolutely crave predictable costs for their 00:04:11.310 --> 00:04:13.870 marketing budgets. And for you, it's almost entirely 00:04:13.870 --> 00:04:16.370 pure profit every month because the underlying 00:04:16.370 --> 00:04:19.589 software costs are basically zero. It's a massive, 00:04:19.910 --> 00:04:22.509 undeniable win for everyone involved. Let me 00:04:22.509 --> 00:04:24.470 push back on the target audience just a bit. 00:04:24.889 --> 00:04:28.480 Why specifically Target? tech lagging local businesses 00:04:28.480 --> 00:04:31.259 for this service. Because the inherent value 00:04:31.259 --> 00:04:34.100 gap there is absolutely massive. These older 00:04:34.100 --> 00:04:36.720 shops are bleeding money by not being online. 00:04:36.959 --> 00:04:39.160 Launching them into the digital space is huge. 00:04:39.540 --> 00:04:42.240 The return on their monthly investment is completely 00:04:42.240 --> 00:04:44.980 undeniable. So high impact for them means high 00:04:44.980 --> 00:04:47.959 margins for you. That's the entire core of the 00:04:47.959 --> 00:04:50.879 pricing strategy. Sussex silence. So that local 00:04:50.879 --> 00:04:53.839 agency model fixes brick and mortar marketing. 00:04:54.240 --> 00:04:57.139 But what if we pivot entirely to helping digital 00:04:57.139 --> 00:05:00.100 workers? Let's examine the agentic sauce concept 00:05:00.100 --> 00:05:01.899 from the source material. What's fascinating 00:05:01.899 --> 00:05:04.699 here is how it flips traditional models. Usually 00:05:04.699 --> 00:05:06.819 a sauce product just gives you a blank screen. 00:05:07.019 --> 00:05:09.540 You log in, but you still do the work. Agentic 00:05:09.540 --> 00:05:12.100 sauce actually executes the literal work for 00:05:12.100 --> 00:05:14.420 you autonomously. It perfectly solves what the 00:05:14.420 --> 00:05:16.740 author calls the upwork problem. Independent 00:05:16.740 --> 00:05:19.180 freelancers waste countless hours doing unpaid 00:05:19.180 --> 00:05:21.279 admin. They're endlessly scrolling through the 00:05:21.279 --> 00:05:23.579 platform looking for work. They hunt for relevant 00:05:23.579 --> 00:05:27.399 jobs and draft highly generic proposals. It's 00:05:27.399 --> 00:05:29.240 an incredibly exhausting way to make a living. 00:05:29.699 --> 00:05:32.040 But you can easily build a mini -agent to fix 00:05:32.040 --> 00:05:35.240 this. You use tools like Cursor or Claude to 00:05:35.240 --> 00:05:37.699 write Python scripts. But I have to make a vulnerable 00:05:37.699 --> 00:05:41.689 admission here about coding. I still wrestle 00:05:41.689 --> 00:05:44.829 with prompt drift myself on these projects. When 00:05:44.829 --> 00:05:47.610 the AI slowly forgets your original core instructions, 00:05:48.170 --> 00:05:50.410 getting Python code right the first time is really 00:05:50.410 --> 00:05:53.209 tough. It takes genuine patience to build these 00:05:53.209 --> 00:05:54.990 self -correcting scripts. Yeah, it definitely 00:05:54.990 --> 00:05:57.230 requires some frustrating trial and error up 00:05:57.230 --> 00:05:59.350 front. But once the script is finally running 00:05:59.350 --> 00:06:02.430 smoothly, it's magic. This specific system checks 00:06:02.430 --> 00:06:05.329 up work every 20 minutes without fail. It strictly 00:06:05.329 --> 00:06:08.199 scans for new logo design jobs. Then it cross 00:06:08.199 --> 00:06:10.439 -references the freelancer's actual past design 00:06:10.439 --> 00:06:13.279 portfolio. It drafts a highly personalized, relevant 00:06:13.279 --> 00:06:15.939 project proposal. Finally, it logs all the pitch 00:06:15.939 --> 00:06:17.879 data into a Google Sheet. The freelancer just 00:06:17.879 --> 00:06:19.300 wakes up and checks their daily spreadsheet. 00:06:19.629 --> 00:06:21.850 They quickly review the drafted pitches and simply 00:06:21.850 --> 00:06:24.050 hit send. It's basically a tireless personal 00:06:24.050 --> 00:06:26.930 assistant that never sleeps. And the monetization 00:06:26.930 --> 00:06:29.569 model is really clutter for this audience. You 00:06:29.569 --> 00:06:31.970 don't sell them a recurring monthly subscription 00:06:31.970 --> 00:06:34.410 fee. Instead, you sell them flexible batches 00:06:34.410 --> 00:06:37.149 of automated credits. Right, like 100 automated 00:06:37.149 --> 00:06:40.029 proposals for 30 bucks total. But why does the 00:06:40.029 --> 00:06:42.410 credit pricing model work better than subscriptions? 00:06:42.810 --> 00:06:45.790 Because freelancers absolutely hate taking on 00:06:45.790 --> 00:06:48.769 fixed monthly financial overhead. Their project 00:06:48.769 --> 00:06:51.509 income fluctuates wildly from month to month. 00:06:52.050 --> 00:06:54.269 Credits feel like a direct, measurable investment 00:06:54.269 --> 00:06:57.389 in their pipeline. If one $30 pack lands a job, 00:06:57.589 --> 00:06:59.769 they're completely hooked. Lower financial risk 00:06:59.769 --> 00:07:02.269 for them means faster product adoption. Yeah, 00:07:02.310 --> 00:07:04.589 you completely remove the psychological friction 00:07:04.589 --> 00:07:08.300 of buying software. Two sec silence. Here's where 00:07:08.300 --> 00:07:11.000 it gets really interesting for larger scale operations. 00:07:11.980 --> 00:07:14.220 What if a larger business relies entirely on 00:07:14.220 --> 00:07:17.160 outbound sales? That brings us to the B2B sales 00:07:17.160 --> 00:07:20.180 agency model. Oh, this specific outbound concept 00:07:20.180 --> 00:07:23.120 is a total industry game changer. It completely 00:07:23.120 --> 00:07:26.040 replaces the notoriously grueling job of an SDR. 00:07:26.459 --> 00:07:28.779 Sales development reps historically have a very 00:07:28.779 --> 00:07:31.860 rough time. Their whole job is manually sending 00:07:31.860 --> 00:07:34.860 hundreds of generic LinkedIn messages. It's soul 00:07:34.860 --> 00:07:37.720 -crushing work with notoriously high turnover 00:07:37.720 --> 00:07:40.480 rates. But an AI agent obviously never gets tired. 00:07:41.160 --> 00:07:43.360 You start by using data tools like Phantom Buster 00:07:43.360 --> 00:07:46.339 or Clay. They intelligently daisy -chain different 00:07:46.339 --> 00:07:48.480 corporate databases together behind the scenes. 00:07:48.959 --> 00:07:51.319 You can pull a highly targeted verified lead 00:07:51.319 --> 00:07:54.259 list in minutes. But blindly spanning people 00:07:54.259 --> 00:07:57.360 doesn't work anymore. The real secret sauce here 00:07:57.360 --> 00:08:00.389 is the deep contextual personalization. This 00:08:00.389 --> 00:08:02.930 is truly the genius part of the entire system. 00:08:03.449 --> 00:08:05.910 The AI agent actually reads the prospect's last 00:08:05.910 --> 00:08:08.230 three LinkedIn posts. It systematically searches 00:08:08.230 --> 00:08:10.930 for something highly specific and relevant. Usually, 00:08:11.009 --> 00:08:13.449 it finds a nuanced point about AI or business 00:08:13.449 --> 00:08:15.410 growth. The prompt engineering is incredibly 00:08:15.410 --> 00:08:17.870 precise and careful here. You instruct the AI 00:08:17.870 --> 00:08:19.970 to write a short two -sentence intro. It must 00:08:19.970 --> 00:08:22.310 explicitly mention that specific point from their 00:08:22.310 --> 00:08:24.970 post. Then it naturally asks for a casual 10 00:08:24.970 --> 00:08:27.040 -minute workflow chat. People actually respond 00:08:27.040 --> 00:08:29.279 to this because they feel genuinely seen. They 00:08:29.279 --> 00:08:31.860 feel like someone actually took time to understand 00:08:31.860 --> 00:08:35.139 them. It doesn't feel like a cold robotic copy 00:08:35.139 --> 00:08:37.419 paste spam job. And the way you charge for this 00:08:37.419 --> 00:08:41.460 is pure performance. You charge $100 to $200 00:08:41.460 --> 00:08:44.720 per booked meeting. If your agent books 20 meetings, 00:08:45.139 --> 00:08:48.929 that's $4 ,000. That's substantial monthly revenue 00:08:48.929 --> 00:08:51.529 from just a single corporate client. And you 00:08:51.529 --> 00:08:54.269 can easily run multiple client accounts simultaneously. 00:08:54.429 --> 00:08:56.950 No, wait. Let's look at the actual output quality 00:08:56.950 --> 00:08:59.570 here. Are the meetings actually high quality 00:08:59.570 --> 00:09:02.730 if an AI booked them? Surprisingly, yes. They 00:09:02.730 --> 00:09:05.289 actually are very high quality for sales teams. 00:09:05.710 --> 00:09:08.110 The initial filtering with a tool like Clay is 00:09:08.110 --> 00:09:10.990 extremely strict. Combined with highly relevant 00:09:10.990 --> 00:09:13.190 outreach, the prospects are genuinely interested. 00:09:13.529 --> 00:09:15.509 They show up to the call wanting to discuss a 00:09:15.509 --> 00:09:18.090 real solution. Better filtering upfront creates 00:09:18.090 --> 00:09:20.149 much better sales conversations later. Yeah, 00:09:20.149 --> 00:09:22.129 you aren't just filling their calendar with useless 00:09:22.129 --> 00:09:25.110 junk. Sponsor, mid -roll sponsor, read placeholder. 00:09:25.429 --> 00:09:28.429 Two -sec silence. We're shifting away from outbound 00:09:28.429 --> 00:09:31.950 sales into internal operations now. Let's deeply 00:09:31.950 --> 00:09:34.570 examine the AI audits and the podcast agency 00:09:34.570 --> 00:09:37.850 models. These two particular businesses are very 00:09:37.850 --> 00:09:40.169 structurally different from each other, but they're 00:09:40.169 --> 00:09:42.750 both incredibly lucrative if you execute them 00:09:42.750 --> 00:09:45.950 well. Let's dive into the mechanics of the AI 00:09:45.950 --> 00:09:48.330 audits first. An operational audit is essentially 00:09:48.330 --> 00:09:51.850 just deep focused workplace observation. You 00:09:51.850 --> 00:09:54.250 sit down and closely watch a company's teamwork. 00:09:54.720 --> 00:09:57.700 You're actively hunting for the boring, highly 00:09:57.700 --> 00:10:00.279 repetitive daily tasks. You look for painful 00:10:00.279 --> 00:10:02.519 operational bottlenecks slowing everyone down. 00:10:02.940 --> 00:10:05.200 Things like manually formatting meeting summaries 00:10:05.200 --> 00:10:08.240 or answering basic client emails. You meticulously 00:10:08.240 --> 00:10:10.720 identify exactly where the daily business friction 00:10:10.720 --> 00:10:13.019 lives. Then you step in and install custom -clawed 00:10:13.019 --> 00:10:15.080 skills for them. You train the AI agent directly 00:10:15.080 --> 00:10:17.279 on their specific brand information. You feed 00:10:17.279 --> 00:10:19.259 it their unique company voice and historical 00:10:19.259 --> 00:10:21.639 email templates. The actual technical training 00:10:21.639 --> 00:10:24.090 process usually only takes about an hour. But 00:10:24.090 --> 00:10:26.309 the profound impact on their daily workplace 00:10:26.309 --> 00:10:29.250 efficiency is massive, and your pricing model 00:10:29.250 --> 00:10:31.409 definitely reflects that safe time. You typically 00:10:31.409 --> 00:10:35.190 charge a $2 ,000 to $5 ,000 setup fee, plus you 00:10:35.190 --> 00:10:38.870 add $500 a month for ongoing support. Because 00:10:38.870 --> 00:10:41.710 technology changes incredibly fast, they desperately 00:10:41.710 --> 00:10:44.269 need your maintenance. Now let's heavily contrast 00:10:44.269 --> 00:10:47.769 that with the podcast agency model. This represents 00:10:47.769 --> 00:10:50.149 a completely different approach to creating value. 00:10:50.409 --> 00:10:53.929 The primary goal here is helping podcasters get 00:10:53.929 --> 00:10:56.509 lucrative corporate sponsors. The source test 00:10:56.509 --> 00:11:00.350 uses the AI Fire RSS podcast as an example. Your 00:11:00.350 --> 00:11:02.850 automated system systematically scans platforms 00:11:02.850 --> 00:11:05.610 like YouTube and Spotify. It actively looks for 00:11:05.610 --> 00:11:07.950 channels with highly specific, valuable niche 00:11:07.950 --> 00:11:10.850 audiences. It deeply researches their historical 00:11:10.850 --> 00:11:13.409 view counts and overall engagement rates. Then 00:11:13.409 --> 00:11:15.450 it emails marketing leads at relevant brands 00:11:15.450 --> 00:11:18.009 to pitch. The prompt strategy for the sponsor 00:11:18.009 --> 00:11:20.669 outreach is absolutely brilliant here. Imagine 00:11:20.669 --> 00:11:22.629 you're pitching a niche show called Tech Talk 00:11:22.629 --> 00:11:25.230 to a brand. You explicitly tell them about the 00:11:25.230 --> 00:11:27.570 podcast's dedicated software engineer audience, 00:11:27.669 --> 00:11:29.889 and you explicitly mention the show's impressive 00:11:29.889 --> 00:11:33.129 10 % monthly growth rate. instantly becomes a 00:11:33.129 --> 00:11:35.970 highly persuasive, purely data -driven sales 00:11:35.970 --> 00:11:38.669 pitch. And the pricing structure here is based 00:11:38.669 --> 00:11:41.450 purely on your performance. You take a flat 20 00:11:41.450 --> 00:11:44.169 % success fee on any closed deal. If you land 00:11:44.169 --> 00:11:47.509 a $10 ,000 sponsorship, you keep $2 ,000. These 00:11:47.509 --> 00:11:50.190 two distinct models highlight the concept of 00:11:50.190 --> 00:11:53.250 low -friction sales. The corporate audit business 00:11:53.250 --> 00:11:55.769 requires a heavy upfront capital investment. 00:11:56.230 --> 00:11:59.690 But the podcast agency is a pure risk -free performance 00:11:59.690 --> 00:12:02.860 play. How do you intelligently balance running 00:12:02.860 --> 00:12:05.000 these two different models together? You use 00:12:05.000 --> 00:12:07.019 the upfront capital from corporate audits to 00:12:07.019 --> 00:12:09.340 pay bills. Then you use the commission business 00:12:09.340 --> 00:12:12.080 to build scalable wealth silently. It completely 00:12:12.080 --> 00:12:14.740 removes your daily cash flow stress. Upfront 00:12:14.740 --> 00:12:17.100 capital covers today while recurring commissions 00:12:17.100 --> 00:12:19.799 build wealth tomorrow. Exactly. It's the perfect 00:12:19.799 --> 00:12:22.159 financial safety net for a solo entrepreneur. 00:12:22.440 --> 00:12:25.190 Two -sec silence. We're finally moving to the 00:12:25.190 --> 00:12:27.250 last pairing of these business models. We're 00:12:27.250 --> 00:12:29.789 looking closely at content repurposing and automated 00:12:29.789 --> 00:12:32.230 real estate investing. Content repurposing is 00:12:32.230 --> 00:12:34.669 an absolutely massive booming industry right 00:12:34.669 --> 00:12:37.629 now. Digital creators are completely exhausted 00:12:37.629 --> 00:12:39.970 from the constant endless content treadmill. 00:12:40.490 --> 00:12:42.990 They desperately need a reliable system to recycle 00:12:42.990 --> 00:12:45.669 their existing material. But the biggest most 00:12:45.669 --> 00:12:48.129 common complaint in this space is always the 00:12:48.129 --> 00:12:51.610 same. Generated AI text usually sounds like a 00:12:51.610 --> 00:12:55.110 boring, soulless corporate robot. Right. To fix 00:12:55.110 --> 00:12:58.110 this exact problem, you feed the agent 10 past 00:12:58.110 --> 00:13:01.830 posts. The AI deeply studies these posts to establish 00:13:01.830 --> 00:13:04.549 a mathematical style guide. It systematically 00:13:04.549 --> 00:13:07.409 learns the creator's unique vocabulary and emotional 00:13:07.409 --> 00:13:09.870 tone. Then it flawlessly rewrites their long 00:13:09.870 --> 00:13:12.549 video transcripts into punchy text posts. For 00:13:12.549 --> 00:13:14.870 platforms like LinkedIn specifically, the prompt 00:13:14.870 --> 00:13:17.879 has strict formatting guardrails. You explicitly 00:13:17.879 --> 00:13:21.179 tell it strictly no emojis and absolutely no 00:13:21.179 --> 00:13:23.399 trendy hashtags. The pricing structure gives 00:13:23.399 --> 00:13:25.620 the potential client two very different service 00:13:25.620 --> 00:13:28.740 tiers. You charge $3 ,000 a month for the premium 00:13:28.740 --> 00:13:31.179 high -end service. That premium tier includes 00:13:31.179 --> 00:13:33.340 a human thoroughly checking the AI's generated 00:13:33.340 --> 00:13:36.519 work. Or they pay $200 a month for a fully automated 00:13:36.519 --> 00:13:39.700 feed. Most established, wealthy creators will 00:13:39.700 --> 00:13:43.289 gladly pay the $3 ,000 fee. They desperately 00:13:43.289 --> 00:13:45.750 want that human safety net protecting their fragile 00:13:45.750 --> 00:13:50.210 brand reputation. Beat. Now let's pivot completely 00:13:50.210 --> 00:13:52.990 into the traditional real estate market. This 00:13:52.990 --> 00:13:56.370 specific application of agentic AI is genuinely 00:13:56.370 --> 00:13:59.269 fascinating to me. The primary goal is finding 00:13:59.269 --> 00:14:01.990 what professional investors call zombie properties. 00:14:02.590 --> 00:14:05.330 These are highly distressed, ugly houses that 00:14:05.330 --> 00:14:07.929 are sitting completely empty today. They're usually 00:14:07.929 --> 00:14:09.970 owned by desperate people who must sell them 00:14:09.970 --> 00:14:12.759 right now. In the past, investors literally drove 00:14:12.759 --> 00:14:14.659 around local neighborhoods looking for these. 00:14:15.179 --> 00:14:17.820 Now, the AI continuously scans complex public 00:14:17.820 --> 00:14:19.919 property records in the background. It completely 00:14:19.919 --> 00:14:22.519 automates the entire cold outreach process for 00:14:22.519 --> 00:14:25.480 the investor. The AI sends a highly empathetic, 00:14:25.620 --> 00:14:28.220 natural sounding text message to the owner. It 00:14:28.220 --> 00:14:30.639 gently offers a quick cash, as is consultation 00:14:30.639 --> 00:14:32.960 for the property. It deliberately positions the 00:14:32.960 --> 00:14:35.279 message as coming from a helpful, concerned local 00:14:35.279 --> 00:14:38.340 neighbor. The massive, unprecedented scale is 00:14:38.340 --> 00:14:40.779 what makes this system work so incredibly well. 00:14:41.100 --> 00:14:43.279 A dedicated human analyst might check 20 houses 00:14:43.279 --> 00:14:46.759 in a single workday. Whoa. Imagine scaling to 00:14:46.759 --> 00:14:49.759 analyzing 2 ,000 property histories in a single 00:14:49.759 --> 00:14:52.940 afternoon. It completely changes the fundamental 00:14:52.940 --> 00:14:55.220 financial math of real estate investing forever. 00:14:55.399 --> 00:14:57.440 But how do you stop the AI from hallucinating 00:14:57.440 --> 00:15:01.059 a bad offer over text? Well, the AI doesn't actually 00:15:01.059 --> 00:15:03.480 negotiate the final cash offer with the seller. 00:15:03.779 --> 00:15:06.340 It simply filters the massive property list for 00:15:06.340 --> 00:15:08.980 initial seller interest and intent. You only 00:15:08.980 --> 00:15:11.259 step in manually when the property owner finally 00:15:11.259 --> 00:15:14.159 replies yes. Empathy at massive scale quickly 00:15:14.159 --> 00:15:16.500 filters for genuine seller interest. Yeah, it 00:15:16.500 --> 00:15:18.860 simply points you directly to the absolute warmest 00:15:18.860 --> 00:15:22.480 leads available. Two sec silence. So what does 00:15:22.480 --> 00:15:24.899 this all mean for us moving forward? We've covered 00:15:24.899 --> 00:15:26.980 a truly tremendous amount of technical ground 00:15:26.980 --> 00:15:29.440 here today. The ultimate most important takeaway 00:15:29.440 --> 00:15:31.840 from this source document is surprisingly simple. 00:15:32.320 --> 00:15:34.620 We're still standing in the extremely early days 00:15:34.620 --> 00:15:37.220 of this technological shift. Most traditional 00:15:37.220 --> 00:15:39.120 business owners are still heavily struggling 00:15:39.120 --> 00:15:42.120 with basic email organization. You genuinely 00:15:42.120 --> 00:15:45.000 do not need to be a world -class machine learning 00:15:45.000 --> 00:15:47.740 expert. You really don't need an advanced computer 00:15:47.740 --> 00:15:49.720 science degree for any of this. You only need 00:15:49.720 --> 00:15:52.370 to be 10 % better than your target client. The 00:15:52.370 --> 00:15:55.190 advanced technology inherently handles the actual 00:15:55.190 --> 00:15:58.590 daily labor for you now. The AI systems do all 00:15:58.590 --> 00:16:00.950 the tedious, repetitive, heavy lifting behind 00:16:00.950 --> 00:16:03.970 the scenes. Your primary job is to be the strategic, 00:16:04.250 --> 00:16:06.850 high -level architect. You simply design the 00:16:06.850 --> 00:16:09.409 machine, and the machine autonomously does the 00:16:09.409 --> 00:16:13.210 actual work. Beat. Start small. Build just one 00:16:13.210 --> 00:16:16.250 agent today. Send one automated email sequence. 00:16:16.490 --> 00:16:19.070 Once you finally see the system work just once, 00:16:19.549 --> 00:16:22.350 it instantly clicks. The massive life -changing 00:16:22.350 --> 00:16:24.950 potential of an agentic economy becomes incredibly 00:16:24.950 --> 00:16:27.309 obvious immediately. That brings us directly 00:16:27.309 --> 00:16:29.970 back to you, the listener tuning in today. Don't 00:16:29.970 --> 00:16:31.889 overwhelm yourself and try to build all seven 00:16:31.889 --> 00:16:34.750 of these businesses tomorrow. Pick just one specific 00:16:34.750 --> 00:16:37.730 system from today's deep dive to explore. Start 00:16:37.730 --> 00:16:39.490 exploring the tools and building your automated 00:16:39.490 --> 00:16:41.549 architecture right now. The technical barriers 00:16:41.549 --> 00:16:43.730 to entry have literally never been lower than 00:16:43.730 --> 00:16:45.750 today. But right before we go, I want to leave 00:16:45.750 --> 00:16:49.029 you with a thought. Eat. We talked about building 00:16:49.029 --> 00:16:51.730 empathetic AI agents to text distressed homeowners 00:16:51.730 --> 00:16:54.529 today. And we talked about AI agents pitching 00:16:54.529 --> 00:16:57.289 corporate podcast sponsors completely automatically. 00:16:57.429 --> 00:16:59.750 Millions of autonomous digital agents all waking 00:16:59.750 --> 00:17:01.970 up to work every morning. So what happens to 00:17:01.970 --> 00:17:05.089 the economy when your automated SDR agent pitches 00:17:05.089 --> 00:17:07.970 another company? and it ends up pitching directly 00:17:07.970 --> 00:17:10.490 to their automated AI gatekeeper agent instead. 00:17:11.210 --> 00:17:13.009 Are we just building an internet where our machines 00:17:13.009 --> 00:17:15.490 negotiate with each other while we sleep? Two 00:17:15.490 --> 00:17:17.410 secs silence. Thanks for joining us on this deep 00:17:17.410 --> 00:17:18.450 dive. We'll see you next time.