I had a thought... What do you think about a follow along course covering starting a new agency completely from scratch assisted by AI? Does this sound like something worth our time?

𝗔𝗢𝗩 𝗮𝗻𝗱 𝗖𝗔𝗖 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 - A business's long-term viability can be determined by a specific ratio involving Average Order Value (AOV) and Customer Acquisition Cost (CAC), which can be calculated in approximately five minutes (00:00:05). - AOV represents the amount a customer pays during an initial transaction, while CAC represents the total cost required to acquire that customer (00:00:32). - Relying on Lifetime Value (LTV) as a primary metric is described as a risk that can lead to business failure, as it often encourages spending more to acquire a customer than they pay in their first transaction (00:00:46). - The strategy of spending more than the initial transaction value to acquire a customer is often based on the assumption that the customer will become profitable over time, a model typically supported by venture capital funding (00:01:17). 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 - Data indicates that only 18.8% of e-commerce customers make a repeat purchase within one year (00:01:39). - Among the 18.8% of customers who do return, only 50% do so within the first 30 days, and 76% of that group return within 90 days (00:01:48). - If a customer does not return within three months, it is statistically unlikely that they will return at all, a trend that is noted to be even more pronounced for brick-and-mortar businesses (00:01:57). 𝗥𝗶𝘀𝗸𝘀 𝗼𝗳 𝗟𝗧𝗩 𝗥𝗲𝗹𝗶𝗮𝗻𝗰𝗲 - LTV is characterized as a metric originally designed for Software as a Service (SaaS) companies that lack sales teams or cost-of-goods expenses, and it is frequently calculated incorrectly by business owners (00:02:42). - Research suggests that only 42% of business owners calculate LTV correctly, which is considered a failing rate (00:02:57). - Businesses that spend heavily to acquire customers based on projected LTV often end up losing money to advertising platforms while waiting for a payback that may never materialize (00:03:29)

I’m getting really tired of AI slop (as most people). Not AI itself. AI slop. There’s a difference. AI can be incredibly useful. It can help you research faster, organize your thoughts, analyze information, brainstorm ideas, write code, build systems, and do a dozen other things that used to take hours. I use AI. I like AI. I think it’s one of the most useful tools we’ve had in a long time. But somewhere along the way, people decided that instead of using AI to help them think, they could just stop thinking altogether. And now we’re drowning in the same five ideas rewritten 47 different ways. Open LinkedIn. “Here are 5 things successful people do every morning.” Scroll. “Here are 7 lessons I learned building my business.” Scroll. “Stop trading time for money.” Scroll. “AI isn’t going to replace you. Someone using AI will.” Scroll. “Consistency beats motivation.” Scroll. Congratulations. You’ve just consumed the same content six times, written by six different people, using six different AI-generated personalities. And somehow everyone thinks they’re being original. They aren’t. They’re regurgitating regurgitation. Someone publishes an idea. Someone else feeds that idea into ChatGPT. ChatGPT rewrites it. Someone turns that rewrite into a post. Someone else sees that post and asks AI to create a post about the same topic. Then another person asks AI to make it “more controversial.” Pretty soon, the original idea has been passed through so many layers of synthetic mayonnaise that nobody even remembers where it came from. That’s how you end up with an internet full of content that sounds polished but says absolutely nothing. And the problem isn’t AI. The problem is outsourcing your brain. AI doesn’t know what you believe. It doesn’t know what pissed you off yesterday. It doesn’t know the stupid mistake you made three years ago that cost you $20,000. It doesn’t know the conversation you had with a client that completely changed how you run your business. It doesn’t know the weird thing you discovered while trying to solve a problem nobody else seemed to have.

This is an elephant. 1 byte at a time. I put this vibe-code for you to punch me in the face https://kcr-ecosystem.vibepreview.com/

You are not multitasking. You are task switching, and your brain charges you a fee every single time. Here is what gets me. Agency owners wear multitasking like a badge of honor. "I was on a client call, writing a proposal, and clearing Slack all at once." Cool. You did three things badly and called it a productive morning. 𝗬𝗼𝘂𝗿 𝗯𝗿𝗮𝗶𝗻 𝗵𝗮𝘀 𝗼𝗻𝗲 𝗹𝗮𝗻𝗲 Outside of automatic stuff like walking and chewing gum, you cannot run two thinking tasks at the same time. You flip between them. Every flip has a setup cost, like a machine shop stopping the line to swap tooling between runs. Researchers at the University of Michigan measured this back in 2001 and named it switch cost. The APA's summary of that work puts the damage at up to 40% of your productive time lost just to the flipping. Not the work. The flipping. And the more complex the task, the bigger the hit. Which is unfortunate, because complex is the only kind of work that pays us well. 𝗧𝗵𝗲 𝗽𝗮𝗿𝘁 𝗻𝗼𝗯𝗼𝗱𝘆 𝘁𝗮𝗹𝗸𝘀 𝗮𝗯𝗼𝘂𝘁: 𝗿𝗲𝘀𝗶𝗱𝘂𝗲 Sophie Leroy at the University of Washington found something worse. When you jump from Task A to Task B, a chunk of your attention stays parked on Task A. She called it attention residue. So you are on the client call, but part of your head is still back in that proposal. The call gets a watered-down version of you. Then the proposal gets a watered-down version of you. Most people argue about multitasking like it is a speed problem. It is a quality problem. That should scare us more, because quality is the actual product in this business. Clients are not buying our hours. They are buying judgment, strategy, and copy that converts. Diluted judgment is a refund request with a delay on it. 𝗧𝗵𝗲 𝟮𝟯 𝗺𝗶𝗻𝘂𝘁𝗲 𝘁𝗮𝘅 Gloria Mark's team at UC Irvine followed knowledge workers around real offices with real interruptions. After getting pulled off a task, it took roughly 23 minutes to fully get back to it. Run that math on a normal agency day. Six interruptions before lunch, and your entire morning went to re-entry instead of output. You were busy. You just were not working.