WEBVTT 00:00:00.000 --> 00:00:02.500 Most businesses have access to powerful A .I. 00:00:02.520 --> 00:00:05.459 right now, but, you know, the vast majority are 00:00:05.459 --> 00:00:09.300 still treating tools like chat GPT like a a simple 00:00:09.300 --> 00:00:11.900 glorified search bar. Totally. They ask a single 00:00:11.900 --> 00:00:14.169 question. get a decent answer, and then five 00:00:14.169 --> 00:00:16.010 minutes later, they close the tab. And start 00:00:16.010 --> 00:00:18.410 over from zero. It's so inefficient. Right. The 00:00:18.410 --> 00:00:20.870 insight that separates, you know, the top 1 % 00:00:20.870 --> 00:00:23.149 from everyone else is actually pretty simple. 00:00:23.289 --> 00:00:25.629 The secret isn't asking better single questions 00:00:25.629 --> 00:00:28.670 occasionally. No, it's building automated, persistent 00:00:28.670 --> 00:00:31.789 workflows. Exactly. And that's the mission today. 00:00:31.870 --> 00:00:35.710 We're going to unpack five practical, game -changing 00:00:35.710 --> 00:00:38.530 AI strategies that deliver real business results 00:00:38.530 --> 00:00:41.570 fast. Welcome to the Deep Dive. And welcome to 00:00:41.570 --> 00:00:43.409 you, the listener. Thank you so much for sharing 00:00:43.409 --> 00:00:45.909 these incredible sources. It's a full roadmap 00:00:45.909 --> 00:00:48.990 on maximizing business growth with AI. Yeah, 00:00:49.030 --> 00:00:51.170 you told us you want those quick aha moments 00:00:51.170 --> 00:00:53.250 without feeling overwhelmed, and we totally get 00:00:53.250 --> 00:00:55.310 that. Our sources really stress that the real 00:00:55.310 --> 00:00:56.950 competitive advantage comes from integrating 00:00:56.950 --> 00:00:59.649 these persistent AI employees. Not just using 00:00:59.649 --> 00:01:02.149 AI like a quick calculator. Exactly. It's about 00:01:02.149 --> 00:01:05.010 systemic change, not just, you know, using a 00:01:05.010 --> 00:01:07.370 cool tool once a day. Okay, let's unpack this. 00:01:07.739 --> 00:01:09.719 So we're starting with the foundational step. 00:01:10.620 --> 00:01:14.590 How to properly onboard your AI. Then we'll dive 00:01:14.590 --> 00:01:17.609 deep into those five core strategies from multiplying 00:01:17.609 --> 00:01:21.609 your content value all the way to cloning your 00:01:21.609 --> 00:01:24.510 own unique expertise. Let's start with that common 00:01:24.510 --> 00:01:26.230 failure point because I think it happens to everyone. 00:01:26.370 --> 00:01:28.109 The sources call it the one and done problem. 00:01:28.390 --> 00:01:30.890 We ask a question, close the chat, and then we 00:01:30.890 --> 00:01:33.109 start fresh the next day. It just guarantees 00:01:33.109 --> 00:01:36.430 inconsistent and, frankly, generic results. It's 00:01:36.430 --> 00:01:38.670 the worst way to use these tools. I mean, think 00:01:38.670 --> 00:01:41.239 about it with a human analogy. You would never 00:01:41.239 --> 00:01:43.180 hire a new strategist without giving them any 00:01:43.180 --> 00:01:45.680 context on your company. Of course not. No context 00:01:45.680 --> 00:01:49.319 on tone, goals, industry, nothing. And AI is 00:01:49.319 --> 00:01:51.980 exactly the same. If you want high -level output, 00:01:52.219 --> 00:01:54.260 you have to give it that persistent context. 00:01:54.620 --> 00:01:56.519 The way we do that, especially in tools like 00:01:56.519 --> 00:01:58.920 ChatGPT, is through something called custom instructions. 00:01:59.420 --> 00:02:02.040 And let's just define that jargon in plain English. 00:02:02.439 --> 00:02:04.799 Custom instructions are just the background rules 00:02:04.799 --> 00:02:07.760 and info that the AI remembers for every single 00:02:07.760 --> 00:02:09.800 conversation you start. It's the ultimate shortcut. 00:02:10.219 --> 00:02:12.639 Instead of repeating your brand guidelines over 00:02:12.639 --> 00:02:15.180 and over. AI just knows. It already knows. So 00:02:15.180 --> 00:02:17.060 what should people actually include in there? 00:02:17.199 --> 00:02:20.039 The sources suggest organizing it into three. 00:02:21.120 --> 00:02:23.340 vital categories. First, your business details, 00:02:23.560 --> 00:02:27.400 industry values, tone. Second, your role, your 00:02:27.400 --> 00:02:30.300 responsibilities, your goals. And third, your 00:02:30.300 --> 00:02:32.379 preferences. Right. Like how long should the 00:02:32.379 --> 00:02:35.360 output be? What format, level of detail, all 00:02:35.360 --> 00:02:37.259 that stuff. That contest is everything. I mean, 00:02:37.280 --> 00:02:38.639 think about the difference. Without it, if you 00:02:38.639 --> 00:02:41.219 ask for a marketing strategy. You get, you know, 00:02:41.240 --> 00:02:43.780 textbook theory. Generic fluff. But if it knows 00:02:43.780 --> 00:02:46.719 you run a digital marketing agency for seven 00:02:46.719 --> 00:02:48.659 -figure e -commerce brands because you put that 00:02:48.659 --> 00:02:51.400 in your custom instructions, the output is instantly 00:02:51.400 --> 00:02:55.159 about Shopify and meta ads. It shifts from generic 00:02:55.159 --> 00:02:59.599 advice to personalized strategic insight. And 00:02:59.599 --> 00:03:01.699 while we're talking about ChatGPT, this principle 00:03:01.699 --> 00:03:05.000 is it's everywhere. Claude has projects. Gemini 00:03:05.000 --> 00:03:07.550 has preferences. So how much difference does 00:03:07.550 --> 00:03:10.389 that initial 15 minutes of setup really make 00:03:10.389 --> 00:03:13.250 to the consistency of the output? It pulls the 00:03:13.250 --> 00:03:16.610 AI away from the generic middle, making every 00:03:16.610 --> 00:03:19.189 interaction highly specific. All right, let's 00:03:19.189 --> 00:03:22.810 jump into the first major use case, content amplification 00:03:22.810 --> 00:03:25.830 and repurposing. I love this one. If you produce 00:03:25.830 --> 00:03:30.050 one big piece of content, a podcast, a webinar, 00:03:30.229 --> 00:03:33.710 a long blog post, this system can save you over 00:03:33.710 --> 00:03:36.590 10 hours a week. That's a huge claim, but the 00:03:36.590 --> 00:03:39.770 sources actually back it up. one long -form piece 00:03:39.770 --> 00:03:43.169 can automatically generate over 30 distinct social 00:03:43.169 --> 00:03:46.169 media assets. 30. That's incredible volume from 00:03:46.169 --> 00:03:48.349 a single high -quality input. The secret here 00:03:48.349 --> 00:03:50.370 is using tools that can handle a lot of context, 00:03:50.550 --> 00:03:52.889 like cloud projects. This isn't just about dumping 00:03:52.889 --> 00:03:54.590 a transcript into a chat window. Right, it's 00:03:54.590 --> 00:03:56.449 more structured. You create a project, maybe 00:03:56.449 --> 00:03:58.750 call it Weekly Content Engine. And inside that 00:03:58.750 --> 00:04:00.870 project, you load all the context, your brand 00:04:00.870 --> 00:04:04.110 voice, audience profile, hashtags, your CTAs. 00:04:04.210 --> 00:04:06.729 Then you upload the source content, the raw transcript, 00:04:06.810 --> 00:04:09.199 the slides, whatever you have. Claude's huge 00:04:09.199 --> 00:04:12.419 context window can just digest it all. And then 00:04:12.419 --> 00:04:14.919 comes the magic, which is the prompting. You 00:04:14.919 --> 00:04:17.620 have to be strategically specific. That is non 00:04:17.620 --> 00:04:20.120 -negotiable. So instead of saying, give me social 00:04:20.120 --> 00:04:23.060 posts. Yeah, that's useless. Yeah. You say, create 00:04:23.060 --> 00:04:25.339 10 tweets focusing only on the most surprising 00:04:25.339 --> 00:04:29.579 ideas. Each under 280 characters. Use my casual 00:04:29.579 --> 00:04:34.100 tone and include a hook. Or extract five actionable 00:04:34.100 --> 00:04:37.279 tips. Turn each one into a LinkedIn post with 00:04:37.279 --> 00:04:40.240 bullet points, a strong hook, and a question 00:04:40.240 --> 00:04:42.639 to drive engagement. And the refinement process 00:04:42.639 --> 00:04:45.180 is key. This is where the project environment 00:04:45.180 --> 00:04:48.160 really shines. If the first batch is too formal, 00:04:48.279 --> 00:04:50.360 you just tell it. You give feedback right there. 00:04:50.399 --> 00:04:52.519 This is too academic. Add some dry humor, and 00:04:52.519 --> 00:04:54.639 it remembers that. It remembers it for everything 00:04:54.639 --> 00:04:56.480 else you generate in that project. I mean, I 00:04:56.480 --> 00:04:58.560 still wrestle with prompt drift myself, you know, 00:04:58.560 --> 00:05:00.519 where the AI slowly forgets what you told it. 00:05:00.560 --> 00:05:03.420 We all do. So having it remember the voice guidelines 00:05:03.420 --> 00:05:06.339 inside a project is just, it's so powerful. So 00:05:06.339 --> 00:05:09.000 if the goal is quantity, how do we make sure 00:05:09.000 --> 00:05:11.819 this high volume still retains quality and strategic 00:05:11.819 --> 00:05:14.639 value across all these platforms? The quality 00:05:14.639 --> 00:05:18.040 comes from using specific prompts and refining 00:05:18.040 --> 00:05:21.000 the AI's response with targeted feedback. Okay, 00:05:21.060 --> 00:05:24.100 let's pivot. Use case number two, automated market 00:05:24.100 --> 00:05:27.980 research. This one is about building a true strategic 00:05:27.980 --> 00:05:31.180 radar. I like that. A strategic radar. Because 00:05:31.180 --> 00:05:33.319 the reality is most business decisions still 00:05:33.319 --> 00:05:36.120 rely on gut feeling or, you know, data that's 00:05:36.120 --> 00:05:38.120 months old. When collecting competitive intel 00:05:38.120 --> 00:05:42.319 is just so slow and manual. The solution here 00:05:42.319 --> 00:05:45.220 is combining a couple of tools. The sources propose 00:05:45.220 --> 00:05:48.560 using ChatGPT's deep research feature with an 00:05:48.560 --> 00:05:51.259 automation tool like N8n. Okay, we should probably 00:05:51.259 --> 00:05:53.360 define N8N really quickly. Yeah. Think of it 00:05:53.360 --> 00:05:55.160 as a tool that lets you build scheduled workflows, 00:05:55.459 --> 00:05:57.519 like stacking Lego blocks of data. They just 00:05:57.519 --> 00:05:59.279 run in the background, connecting your apps without 00:05:59.279 --> 00:06:01.370 you touching them. You got it. And deep research. 00:06:01.569 --> 00:06:03.529 That isn't just a simple Google search, is it? 00:06:03.550 --> 00:06:06.050 Not at all. You give it a big question and it 00:06:06.050 --> 00:06:09.110 actively searches multiple sources, synthesizes 00:06:09.110 --> 00:06:11.490 the information and generates a full structured 00:06:11.490 --> 00:06:13.850 report. It's like an investigator. So the first 00:06:13.850 --> 00:06:15.709 step is defining those high leverage questions. 00:06:16.050 --> 00:06:18.529 You're not asking for simple facts. No, you're 00:06:18.529 --> 00:06:21.410 looking for strategic intelligence. Things like 00:06:21.410 --> 00:06:24.149 what are our top five competitors doing right 00:06:24.149 --> 00:06:27.430 now for content and paid media? Or maybe what 00:06:27.430 --> 00:06:29.129 are the most common complaints about our product 00:06:29.129 --> 00:06:31.290 category? in online forums right now. Exactly. 00:06:31.649 --> 00:06:34.889 Then you build the automation blueprint in 8N. 00:06:35.269 --> 00:06:38.389 You set a trigger for, say, every Monday morning 00:06:38.389 --> 00:06:41.829 at 8 a .m. And that trigger fires up an AI agent 00:06:41.829 --> 00:06:44.209 that you've prompted to be an expert market researcher. 00:06:44.569 --> 00:06:47.250 That agent then uses a web search tool to get 00:06:47.250 --> 00:06:49.589 live data. And then, this is the crucial part, 00:06:49.769 --> 00:06:52.769 it structures the findings and generates a clean 00:06:52.769 --> 00:06:55.730 summary. And the final step is delivery. It sends 00:06:55.730 --> 00:06:57.949 that report right to your Slack or your email. 00:06:58.250 --> 00:07:01.089 Whoa. I mean, just imagine scaling this. Instead 00:07:01.089 --> 00:07:03.750 of one person spending an hour on research, you 00:07:03.750 --> 00:07:06.430 have a system monitoring hundreds of competitors 00:07:06.430 --> 00:07:08.569 and trends. And it delivers a full intelligence 00:07:08.569 --> 00:07:10.769 briefing to your inbox every single Monday morning. 00:07:10.930 --> 00:07:13.589 That is absolutely transformative. So what's 00:07:13.589 --> 00:07:15.870 the critical advantage of getting this automated 00:07:15.870 --> 00:07:18.250 briefing compared to just doing it manually when 00:07:18.250 --> 00:07:20.610 you have time? It provides a strategic radar 00:07:20.610 --> 00:07:22.949 showing you competitor moves and market trends 00:07:22.949 --> 00:07:26.430 before they happen. Welcome back. We're moving 00:07:26.430 --> 00:07:29.529 into the next two use cases, which are highly 00:07:29.529 --> 00:07:32.509 strategic and really personal, using AI as a 00:07:32.509 --> 00:07:34.569 thought partner and then cloning your own expertise. 00:07:34.910 --> 00:07:38.290 Okay, use case three. The business brain and 00:07:38.290 --> 00:07:41.750 strategic thought partner. This one, again, leverages 00:07:41.750 --> 00:07:44.069 platforms like Claude for their ability to handle 00:07:44.069 --> 00:07:46.550 massive amounts of context. And the sources point 00:07:46.550 --> 00:07:48.850 out something really true entrepreneurship can 00:07:48.850 --> 00:07:52.199 be a lonely job. For sure. And this AI setup 00:07:52.199 --> 00:07:55.420 gives you a nonjudgmental, tireless partner to 00:07:55.420 --> 00:07:57.399 help you pressure test your decisions. So to 00:07:57.399 --> 00:07:59.819 set it up, you create a business strategy project 00:07:59.819 --> 00:08:02.019 in Claude and you load it with all your core 00:08:02.019 --> 00:08:04.800 documents, your business plan, financials, meeting 00:08:04.800 --> 00:08:07.360 transcripts. Your long term vision memo. You're 00:08:07.360 --> 00:08:09.920 basically creating an institutional memory for 00:08:09.920 --> 00:08:12.759 the AI. Right. And the approach here is critical. 00:08:12.939 --> 00:08:15.060 You don't just ask for quick answers. You use 00:08:15.060 --> 00:08:17.259 it to think through problems step by step. You 00:08:17.259 --> 00:08:19.930 demand scrutiny. So you might say. Analyze the 00:08:19.930 --> 00:08:21.670 pros and cons of this product. Pivot from three 00:08:21.670 --> 00:08:24.509 angles. Financial, operational, and brand risk. 00:08:24.790 --> 00:08:27.370 And then you tell the AI to ask you clarifying 00:08:27.370 --> 00:08:29.810 questions before it even suggests a solution. 00:08:30.209 --> 00:08:32.669 It becomes a real debate. You can challenge its 00:08:32.669 --> 00:08:35.330 suggestions, introduce new information. Okay, 00:08:35.389 --> 00:08:38.230 I'm thinking of raising prices by 20%. What should 00:08:38.230 --> 00:08:40.809 I be worried about based on our Q2 numbers? And 00:08:40.809 --> 00:08:43.149 the power really compounds because it remembers. 00:08:43.629 --> 00:08:46.809 Weeks later, you can go back and ask. Hey, look 00:08:46.809 --> 00:08:48.649 back at our pricing conversation from March. 00:08:49.240 --> 00:08:51.279 What did we predict would happen versus what 00:08:51.279 --> 00:08:53.179 actually happened? What's the single biggest 00:08:53.179 --> 00:08:56.259 lesson? It becomes a real learning system. Which 00:08:56.259 --> 00:08:58.879 is the perfect lead -in to use case number four, 00:08:59.059 --> 00:09:03.220 cloning your expertise and monetizing it. This 00:09:03.220 --> 00:09:05.480 is for the coaches, the consultants. Anyone whose 00:09:05.480 --> 00:09:08.259 business is their knowledge. Right. And this 00:09:08.259 --> 00:09:11.440 is done mainly through custom GPTs, which are 00:09:11.440 --> 00:09:13.840 shareable AI assistants you build right inside 00:09:13.840 --> 00:09:16.289 ChatGPT. You're basically packaging your specific 00:09:16.289 --> 00:09:18.529 knowledge and your tone into a useful digital 00:09:18.529 --> 00:09:20.929 assistant. The most critical step here is the 00:09:20.929 --> 00:09:23.909 training data. Garbage in, garbage out. You have 00:09:23.909 --> 00:09:26.169 to upload high -quality knowledge. PDFs of your 00:09:26.169 --> 00:09:28.090 best blogs, transcripts of your frameworks, case 00:09:28.090 --> 00:09:30.169 studies. The more high -quality stuff you put 00:09:30.169 --> 00:09:32.009 in the knowledge section, the more it will actually 00:09:32.009 --> 00:09:34.470 think and sound like you. Then you train its 00:09:34.470 --> 00:09:36.830 behavior. You give it system prompts on how to 00:09:36.830 --> 00:09:39.330 answer. Things like, always diagnose the root 00:09:39.330 --> 00:09:42.809 cause first. Or, never give a solution without 00:09:42.809 --> 00:09:45.639 asking for context. And crucially, do not make 00:09:45.639 --> 00:09:49.580 things up. Yes. Do not hallucinate. And this 00:09:49.580 --> 00:09:52.539 AI clone then becomes a scalable asset, a lead 00:09:52.539 --> 00:09:56.279 magnet, a 247 course companion, an internal training 00:09:56.279 --> 00:09:59.379 tool. So is creating an AI clone about replacing 00:09:59.379 --> 00:10:02.259 yourself, or is it more about scaling that introductory 00:10:02.259 --> 00:10:04.799 level of your knowledge? It scales your expertise 00:10:04.799 --> 00:10:08.019 to a wider audience, providing 247 assistants 00:10:08.019 --> 00:10:10.519 without replacing high -value human interaction. 00:10:10.970 --> 00:10:13.049 Okay, we've arrived at use case number five, 00:10:13.129 --> 00:10:15.309 which the sources argue is the true competitive 00:10:15.309 --> 00:10:18.610 advantage, creating custom AI employees. This 00:10:18.610 --> 00:10:20.990 is the big one. The definitive shift away from 00:10:20.990 --> 00:10:23.850 using AI for one -off tasks and into fully autonomous 00:10:23.850 --> 00:10:26.750 repeating workflows. An AI employee isn't just 00:10:26.750 --> 00:10:29.330 a bot. It's a specialized workflow with a detailed 00:10:29.330 --> 00:10:32.169 job description. It runs on a schedule or a trigger, 00:10:32.289 --> 00:10:34.210 and it integrates with the systems you already 00:10:34.210 --> 00:10:36.769 use. It's like having a specialized team member 00:10:36.769 --> 00:10:40.490 that worked 24 -7, never gets tired, and executes 00:10:40.490 --> 00:10:42.750 with perfect precision. The sources give a great 00:10:42.750 --> 00:10:45.649 example. The customer insight analyst. Okay, 00:10:45.669 --> 00:10:48.690 so its job is crystal clear, monitor support 00:10:48.690 --> 00:10:51.970 conversations, categorize them by topic and sentiment, 00:10:52.110 --> 00:10:55.330 and flag churn risks. And the workflow is mapped 00:10:55.330 --> 00:10:58.190 out precisely. A trigger fires when a new ticket 00:10:58.190 --> 00:11:01.710 arrives in Zendesk. The AI agent analyzes the 00:11:01.710 --> 00:11:04.370 conversation for urgency, sentiment, feature 00:11:04.370 --> 00:11:06.590 requests. Then the results get aggregated in 00:11:06.590 --> 00:11:09.190 real time. The AI writes a quick executive summary 00:11:09.190 --> 00:11:11.049 of the top three issues of the day. And that 00:11:11.049 --> 00:11:13.269 final report gets sent directly to the product 00:11:13.269 --> 00:11:16.070 team's Slack channel instantly. The speed and 00:11:16.070 --> 00:11:19.190 accuracy are just massive. You're getting continuous 00:11:19.190 --> 00:11:21.049 customer insight without anyone ever having to 00:11:21.049 --> 00:11:23.090 read through thousands of tickets. You're creating 00:11:23.090 --> 00:11:25.690 tireless specialists. You could have a content 00:11:25.690 --> 00:11:28.289 distribution manager that takes a blog post and 00:11:28.289 --> 00:11:30.529 automatically... creates and schedules all the 00:11:30.529 --> 00:11:33.429 social assets. Or a financial analyst that monitors 00:11:33.429 --> 00:11:35.929 daily transactions and flags anomalies. This 00:11:35.929 --> 00:11:38.350 sounds amazing, but what is the biggest hurdle 00:11:38.350 --> 00:11:41.110 for businesses trying to move from just using 00:11:41.110 --> 00:11:45.409 ChatGPT to building these AI employee workflows? 00:11:45.850 --> 00:11:48.429 The challenge isn't the AI. It's defining the 00:11:48.429 --> 00:11:51.529 job precisely and mapping the data flow between 00:11:51.529 --> 00:11:53.929 tools. So let's zoom out and recap those five 00:11:53.929 --> 00:11:57.070 strategies. First, that crucial step of context 00:11:57.070 --> 00:11:59.570 setting with custom instructions. That's your 00:11:59.570 --> 00:12:02.850 AI's persistent memory. Second, automated content 00:12:02.850 --> 00:12:06.190 repurposing, multiplying your output. Third, 00:12:06.409 --> 00:12:08.830 building that strategic radar with automated 00:12:08.830 --> 00:12:12.610 market research. Fourth, leveraging AI as a strategic 00:12:12.610 --> 00:12:14.909 thought partner. And finally, the true competitive 00:12:14.909 --> 00:12:17.649 edge. building those specialized AI employees 00:12:17.649 --> 00:12:19.970 that work completely autonomously. The conclusion 00:12:19.970 --> 00:12:22.389 from all the sources is crystal clear. The competitive 00:12:22.389 --> 00:12:24.870 gap is widening right now. Most businesses are 00:12:24.870 --> 00:12:27.649 still just experimenting. They're debating if 00:12:27.649 --> 00:12:30.210 it's even useful. Meanwhile, the successful few 00:12:30.210 --> 00:12:32.230 are integrating these autonomous systems now. 00:12:32.350 --> 00:12:34.669 This isn't some future theory. It's a tangible, 00:12:34.789 --> 00:12:37.789 actionable plan to be in that top 1%. So we'd 00:12:37.789 --> 00:12:39.990 encourage you, just pick one use case this week. 00:12:40.279 --> 00:12:42.440 Start with your custom instructions or maybe 00:12:42.440 --> 00:12:44.740 set up a content repurposing project this afternoon. 00:12:44.899 --> 00:12:47.259 Just start. Implement it and see what happens. 00:12:47.480 --> 00:12:49.620 We're moving beyond just answering questions 00:12:49.620 --> 00:12:52.679 now. Which leaves a final thought. If these autonomous 00:12:52.679 --> 00:12:57.159 systems work 247, tirelessly collecting and synthesizing 00:12:57.159 --> 00:13:00.259 intelligence, how will the very definition of 00:13:00.259 --> 00:13:03.360 a well -informed business leader change when 00:13:03.360 --> 00:13:06.320 their strategic briefing just arise automatically 00:13:06.320 --> 00:13:09.429 every Monday morning? Something profound to think 00:13:09.429 --> 00:13:11.950 about as you start building your first AI employee. 00:13:12.190 --> 00:13:13.870 Thank you for taking this deep dive with us. 00:13:14.009 --> 00:13:14.929 So what does this all mean?