WEBVTT

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You know, I was reading this specific line in

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the research this morning, and it just stopped

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me cold. Oh, yeah. It said, automation is a multiplier.

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And I think most of us, when we hear automation,

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we think solution. We think fix. Sure. But the

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argument here is different. It's saying that

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if you automate a mess, you don't actually solve

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the problem. Right. You simply scale the mistake.

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You aren't fixing the chaos. You're just making

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the chaos happen faster. Yeah. And that. That's

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a kind of terrifying thought to sit with. It

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really is. It's the difference between, say,

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building a high -speed train and just strapping

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a rocket engine to a dumpster. Okay. That's a

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vivid image. Well, one gets you to the destination

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officially. The other just spreads garbage over

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a wider area at Mach 2. Welcome to the Deep Dive.

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Today we are unpacking a guide titled, The Blueprint

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for Business Automation and Process Clarity.

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And I think the reason we wanted to cover this

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is that universal frustration we're all feeling.

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You open ChatGPT or Claude, you have this vague

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sense of, I should be more productive. You type

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something in and you get a wall of text. It's

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the sugar rush of productivity, right? You feel

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like a genius for about five minutes because

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the AI wrote a poem or, you know, summarized

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a long email. Yeah. But then you close the tab,

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look at your actual workload, the invoices, the

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client follow ups, the messy spreadsheets. And

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you realize, wait, nothing actually moved. I'm

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actually more confused than I was before. It's

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the gap between the demo and the reality. It

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feels like we're missing a step somewhere. And

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the diagnosis this blueprint offers is really

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interesting. It suggests the problem isn't the

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AI tools themselves. It's our order of operations.

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We jump straight to the house. The flashy tool.

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The flashy tool, the $20 subscription before

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we even understand the actual workflow we're

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trying to fix. So we're buying the hammer before

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we know if we're building a house or a boat.

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We're buying a laser cutter when we don't even

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have a blueprint. So the roadmap for today is

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specific. We're gonna walk through a three -step

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method outlined in the source material to move

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from that invisible anxious mental work to building

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what they call a follow -up hero app a follow

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-up hero. I like that. Yeah We're going to cover

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three phases. Deconstruction, so, mapping those

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invisible thoughts. Triage, deciding what to

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delete versus automate. And finally, the build

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why. We need actual apps, not just chat windows,

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to run a life or a business. OK, let's unpack

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this. Because the first hurdle the source mentions

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is this idea of vanity metrics and something

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called Goodheart's Law. I've heard of this in

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economics. usually regarding inflation or government

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targets. But I haven't really seen it applied

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to, say, my email inbox. Yeah, it's fascinating

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when you apply it to personal productivity. Goodhart's

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law basically states, when a measure becomes

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a target, it ceases to be a good measure. Can

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you give me a concrete example of that in a workflow

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context? Because I think we're all guilty of

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chasing numbers. Sure. Imagine you were on a

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customer support team. or even just your own

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inbox. If you decide your metric for success,

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your target is closing tickets fast or inbox

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zero, you might automate a system to just blast

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out replies. The chart looks green. You close

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50 tickets in an hour. Your productivity score

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is through the roof. But the customers are furious.

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You successfully automated bad service or take

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sales. If you tell an AI to write 100 emails

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to leads, it will do it. It will do it perfectly.

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But if you haven't defined the quality or the

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outcome you want, you just sent 100 terrible

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emails that damaged your reputation. It reminds

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me of that saying, the dashboard is not the territory.

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We get obsessed with the dashboard looking green.

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And because automation is a multiplier, if your

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process is flawed, if you're measuring the wrong

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thing, automation just multiplies the flaw. You

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have to define success before you touch a button.

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Is success more free time? Is it zero errors?

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Is it happier clients? Exactly. That requires

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a level of intentionality that I think most of

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us just skip. We just want the pain to go away.

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So if the dashboard isn't reality, what are we

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actually trying to achieve here? The source puts

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it beautifully. We're building systems for health

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and peace, not just pretty charts. Health and

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peace. I like that. It feels human. Which brings

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us to the next part of the blueprint, which is

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making the work visible. The source argues that

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most of our work is invisible. This is the silent

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killer of productivity. Think about your day.

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A client emails you. To an outsider or to a computer,

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it looks like nothing happened until you reply.

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Right. But inside your head, there was a storm.

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You read it. You felt anxiety. You checked your

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calendar. You wondered if you should ask your

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boss. You thought about pricing. It's the cognitive

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load. It's all the processing that happens before

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the keystrokes. It is. An AI cannot see your

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anxiety. Yeah. Can't automate what it can't see.

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So the method here is called process deconstruction.

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You have to write down the micro steps. And the

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source suggests every task follows a simple rhythm.

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Input, decision, action. Input, decision, action.

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Let's use that Instagram lead example from the

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text. Input, you get a DM saying, how much? That's

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the input. What's the decision? Well, usually

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I have to decide, is this person serious? Are

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they a bot? What price do I quote them based

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on their profile? Right. And then the action

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is typing the reply. But here is the kicker,

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and the source highlights this specifically.

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What happens after you type the reply? I, uh,

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I usually tell myself I need to remember to check

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if they reply in two days. Okay, I'm gonna be

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vulnerable here. I almost never do. I have this

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mental reminder trap where I genuinely believe

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my future self is way more organized than my

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present self. But that mental reminder is an

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invisible step. It's not on paper. It's not in

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a system. It's just... floating around in my

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head somewhere. And that is exactly where the

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money dies. That invisible I'll check back later

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step is the black hole of business. Wow. If you

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don't write that step down, check back in 48

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hours, you cannot automate it. Right. By deconstructing

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it to input, message, decision, quote, action,

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reply, and action, schedule follow up. You suddenly

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see the hole in the bucket. It's like we're mapping

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the coastline of our own inefficiency. So why

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is that specific mental reminder step so dangerous

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for a business? Because it's invisible. When

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you forget, the money literally disappears. That

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is. Yeah. That clarity is painful but necessary.

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OK. So we've written down all these steps. We've

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admitted to our invisible bad habits. Now we

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have a list of 20 steps just for sending one

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email. Right. The source calls the next phase,

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cleaning house or decision triage. This implies

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we aren't just automating everything we wrote

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down. God, no, that would be a disaster. This

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is the embarrassment phase. When you actually

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write down your process, you realize how much

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useless stuff you do. Like, oh, I copy the name

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from the email, paste it into Excel. Then I color

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code the cell. And then I ask for an approval

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from Dave. But Dave hasn't looked at an approval

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request in three years. We all have a Dave. So

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before you automate, you triage. You ask. does

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its ad value. If not, delete it. Don't automate

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a useless step. Just stop doing it. That's terrifyingly

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simple, but it makes so much sense. And for what's

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left, you have two buckets. Bucket one is low

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risk. Scheduling, FAQs, sending an invoice. The

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verdict there, automate fully. Let the robot

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do it. And bucket two. High stakes. This is an

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angry client. This is closing a massive deal.

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This is a nuanced negotiation. The verdict, AI

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supports. Human decides. The AI might draft the

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email or pull the data, but you press the button.

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You provide the empathy. I think that distinction

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is what people miss. They think automation means

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replacing the human entirely. But this argues

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for almost like a bionic approach. It's removing

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the noise to focus on the signal. We aren't replacing

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you. We're getting rid of the copy pasting so

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you can focus on the negotiation. It sounds like

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we're actually doing less automation than people

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expect. Exactly. We delete the waste first, then

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automate only the logic. OK. So we've cleaned

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the process. We know what we want to keep. Now

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we get to the tool. And this is where the source

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takes a pretty strong stance against the tools

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we're all using right now. It says chat bots,

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chat GPT, Claude, Gemini are actually bad for

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running a business. And I have to push back slightly

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here because those tools are incredibly powerful.

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They are powerful creative engines. But for operations,

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they have a fatal flaw. Amnesia. Think about

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it. Chat windows have no state. They don't have

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a permanent memory. You can have a great brainstorming

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session with ChatGPT about your marketing strategy.

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But the next day, it doesn't know if you actually

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sent the emails. It doesn't know which client

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paid. It doesn't know who was waiting. It's just

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a scrolling wall of text. So every time I open

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a new chat, I'm essentially starting from zero.

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Exactly. It's stateless. Imagine trying to run

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a warehouse where every morning the employees

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forgot where everything was stored. That's a

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chat window. That's a really good point. I treat

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the chat window like a scratch pad, but you can't

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run a business on a scratch pad. You need structure.

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You need tables, rows and columns. You need an

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app. But wait, app implies, I mean, historically

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that implies hiring a developer, spending 20

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grand, waiting six months. The source says that's

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the old way. That's the 2010 way. The 2026 way

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is different. We're talking about no -code tools.

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The source mentions platforms like Base 44, Google

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AI Studio. These allow you to build a structured

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database and app in about 10 minutes. 10 minutes?

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That seems optimistic. It sounds wild, but it's

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possible because you aren't writing code. You're

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just describing what you want. You say, I need

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a table for leads, and it appears. But the key

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is that data lives in rows. It's consistent.

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It's not just text generation. It's data management.

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Precisely. So the chat window is actually a barrier

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to scaling operations. Yes, because chats have

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amnesia. Apps give you a permanent memory. Apps

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give you permanent memory. That is a shift in

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perspective. OK, I want to visualize this. The

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source walks us through building something called

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the follow up hero. Let's actually walk through

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this build step by step because I want the listener

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to understand we aren't talking about writing

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Python scripts here. Right. Let's build it. Imagine.

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You are sitting at your computer. You open a

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tool like Base 44 or a similar no code builder.

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OK, I'm there. Phase one is structure. You type

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into a prompt box, just plain English. I want

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to build a CRM for my consulting business. Create

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a table called leads with columns for name, source,

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status, and urgency. And just like that, the

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grid appears. Boom. It's there. Rows and columns.

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You didn't code a thing. Now, phase two. This

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is the moment of wonder this is where it gets

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magical go on you add a button You tell the system

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add a button called draft reply and you give

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it instructions when I click this button read

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the clients message from the row and Draft a

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friendly professional response in my tone. Okay,

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but and this is crucial Save it to a draft field

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so I can review it. Whoa, so I'm not just asking

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the AI to chat I'm building a button that performs

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a complex cognitive task. You click the button

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The AI reads the row, drafts the email, and puts

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it in the box. You look at it, maybe tweak one

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word, and hit send. You aren't staring at a blank

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screen wondering what to say. The friction is

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gone. That's profound. It changes the relationship

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with the AI. You aren't conversing with it. You're

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employing it. And phase three is just design.

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You ask it, make a dashboard showing me new leads

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today. And suddenly, you have a professional

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piece of software that runs your specific workflow.

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It's fascinating. We've moved from chatting with

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AI to architecting with it. You become the designer

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of your own software using everyday language.

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And once you've built this thing, does it just

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stay static? Because my workflows change. The

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way I handle clients changes all the time. That's

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the beauty of it. The source calls this the post

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-launch phase. You test, iterate, and integrate.

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Walk me through that. So you test with fake data

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first. Don't email real clients immediately.

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But then... You iterate. Let's say you're using

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your follow -up hero and you realize, shoot,

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I need their phone number and I forgot to add

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a column for it. Yeah. In the old days, you'd

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have to call the developer and pay another $500.

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Right. And wait two wins for them to ticket it.

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Here, you just tell the AI, add a phone number

00:12:21.850 --> 00:12:24.570
field. Yeah. And it does. The software is fluid.

00:12:24.590 --> 00:12:27.529
It breathes. And finally, you integrate. You

00:12:27.529 --> 00:12:30.110
connect it to your Gmail or calendar so it becomes

00:12:30.110 --> 00:12:32.769
the control center. There are traps though, right?

00:12:32.769 --> 00:12:34.870
It can't be this smooth sailing for everyone.

00:12:35.009 --> 00:12:37.250
Oh, there are definitely potholes. The source

00:12:37.250 --> 00:12:39.950
warns against three big ones. First, falling

00:12:39.950 --> 00:12:42.289
in love with the tool, starting with software

00:12:42.289 --> 00:12:44.509
before you even understand the problem. Right.

00:12:44.690 --> 00:12:47.490
Second, automating everything, losing that human

00:12:47.490 --> 00:12:50.649
touch we talked about. And third, complexity.

00:12:51.389 --> 00:12:54.190
Trying to build a massive enterprise system on

00:12:54.190 --> 00:12:56.789
day one. Just start with the leads. Just get

00:12:56.789 --> 00:12:59.429
a quick win. So the software actually grows and

00:12:59.429 --> 00:13:01.750
evolves alongside your understanding of the work?

00:13:01.889 --> 00:13:05.009
Precisely. It's fluid. You spot a need. You speak

00:13:05.009 --> 00:13:08.279
it. It exists. You know, usually we take a break

00:13:08.279 --> 00:13:09.860
here, but we're going to slot in a quick word

00:13:09.860 --> 00:13:12.059
from our sponsors, who help keep the lights on.

00:13:13.639 --> 00:13:15.899
And we are back. I want to try to synthesize

00:13:15.899 --> 00:13:18.039
this because we've covered a lot of ground, from

00:13:18.039 --> 00:13:21.639
philosophical laws of economics to building buttons

00:13:21.639 --> 00:13:24.710
in a database. The big idea here seems to be

00:13:24.710 --> 00:13:27.409
a movement from invisible to visible. That's

00:13:27.409 --> 00:13:29.309
the core. We started with the frustration of

00:13:29.309 --> 00:13:31.850
the invisible workload, the anxiety, the mental

00:13:31.850 --> 00:13:34.169
reminders, the chaos. And the solution wasn't

00:13:34.169 --> 00:13:37.570
get a smarter AI, it was get a clearer process.

00:13:37.690 --> 00:13:40.149
Exactly, the three steps. Deconstruct, write

00:13:40.149 --> 00:13:42.669
it down. Triage, keep the good, throw out the

00:13:42.669 --> 00:13:45.330
bad, and build, create the app. And I think what

00:13:45.330 --> 00:13:47.730
struck me most was the ultimate goal mentioned

00:13:47.730 --> 00:13:51.330
in the text. It wasn't about 10x productivity

00:13:51.330 --> 00:13:54.549
or crushing the competition. It was about mental

00:13:54.549 --> 00:13:58.070
peace. Closing the laptop at 5 p .m. knowing

00:13:58.070 --> 00:14:01.009
nothing fell through the cracks. That's a feeling

00:14:01.009 --> 00:14:03.889
money can't buy, but apparently clarity can.

00:14:04.070 --> 00:14:06.929
That's a powerful place to land. So for the listener

00:14:06.929 --> 00:14:09.049
who is thinking, OK, this sounds great, but I'm

00:14:09.049 --> 00:14:11.470
overwhelmed just listening to this. What is the

00:14:11.470 --> 00:14:14.250
immediate next step? The source offers a really

00:14:14.250 --> 00:14:16.110
simple challenge. We call it the napkin test.

00:14:16.289 --> 00:14:18.879
The napkin test. Don't go sign up for new software

00:14:18.879 --> 00:14:21.440
yet. Don't try to build the app today. Just pick

00:14:21.440 --> 00:14:24.620
one frustration. Maybe it's chasing invoices.

00:14:24.799 --> 00:14:27.379
Maybe it's scheduling podcasts. Just the one

00:14:27.379 --> 00:14:30.000
thing that makes you grit your teeth. Exactly.

00:14:30.500 --> 00:14:32.379
Take a napkin, literally a napkin or a piece

00:14:32.379 --> 00:14:35.039
of paper, and write down the steps. Deconstruct

00:14:35.039 --> 00:14:37.519
it. What is the input? What is the decision?

00:14:37.639 --> 00:14:40.259
What is the action? Just seeing it on paper is

00:14:40.259 --> 00:14:42.240
the first step to controlling it. You have the

00:14:42.240 --> 00:14:44.240
power to fix your own workflow. Why not start

00:14:44.240 --> 00:14:47.370
today? Why not, indeed. That's it for this deep

00:14:47.370 --> 00:14:49.149
dive. Thanks for listening and we'll catch you

00:14:49.149 --> 00:14:49.830
on the next one.
