WEBVTT

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Hey, what's up, Toby? We are to episode 34 of

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the Process Debt Podcast, and we're going to

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dig right into AI today. AI. What does that mean

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in your world? I don't know. It means a lot of

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things. But what I wanted to talk about today

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is that AI has done a couple things for us in

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that it is... It has enabled us to increase our

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inputs. We can create content like we've never

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been able to before. It's raised expectations

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exponentially on what will be created. If anybody

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in the workplace hasn't been asked to run it

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through AI or tried to figure out Am I the only

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one not using AI then? They're a little behind

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the curve right now. Yep. Yes. So this expectation

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to be leaning into it. Yeah. Yes. And what I

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realized is this like over the last couple of

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weeks is that I have a bit of AI overwhelm. Say

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more about that. What's that? I mean, because

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you use it as much as any of my friends do. Yeah,

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I use it a lot. Where is it coming from? The

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ability to create content doesn't necessarily

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mean that you're more aligned. And so therefore

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you have higher expectations to do more things.

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And my challenge has been not necessarily knowing

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what my output or my outcome should be. And so

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now this thing is overwhelmed for you. Cause

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I love that you use the word overwhelm. I think

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that I feel that, you know, that word resonates.

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Monkey on my chest kind of, you know. Yeah. It's

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like, it's like a, it's like an increased pressure

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to perform, but not necessarily knowing what

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the rules of the game are. Yeah. So it's it's

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almost like it's you know, it's it's like having

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a helicopter parent that like where like the

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dad was really really good at baseball, but he

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was only good to like Make it to be a high school

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all -star, but his goal was always to be the

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college of ours All -star and so he knows all

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he knows a lot and he just puts this pressure

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on his kid Yeah, like I feel like that's for

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me. That's fair with all these expectations but

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can offer no guidance kidding they can not explain

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how to go to the next step. It just can run you

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through the mechanics. Yeah, it's just a lot

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of, it's a lot of, it's a lot of added pressure.

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And, and that, that is, it's been a little rolling.

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Yeah. Are you feeling that, you know, cause we

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talk a lot about process and some of the debt.

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Some of this is old expectations for new ways

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of doing work. How much of this sits just with

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you? How much of it are you feeling in a process

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context working with people upstream and downstream

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of you? Are they expressing that or is it mostly

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the self -imposed overwhelm that high performers

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often inflict on them? That's interesting. I

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think the challenge is with AI, you have people

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when they receive something, they have a higher

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expectation that it's going to meet their expectations.

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without sharing what their expectations are.

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It's interesting. Chris, let me say that back

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to you. So you think that as a working team,

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people's expectations have now increased because

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AI is in the world, but they're not doing anything

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different to communicate what it is that they

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need. Correct. AI will magically translate whatever

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you historically did into something I want. Yes.

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That sounds very Star Trek, like Earl Grey hot.

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kind of order up your magic tea, right? Yeah,

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but it has done nothing to communicate how do

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I land it? How do I? Well, one of the things

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that I've thought about recently is that, you

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know, talking about AI paradox, is that when

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the internet came, it was providing information.

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And so if you go back to the Guinness Book of

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World Records and why they started it, it was

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you know, from the Guinness company, the beer

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company, the beer company wanted to stop fights.

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And so they did the Guinness book of world records.

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So if you wanted to know who was fast, who was

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the fastest person in the world, you had the

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Guinness book of world records, right? Like that's

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why this thing came into play, right? Well, the

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internet comes around. So now we have, we have

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more knowledge. at our fingertips than we've

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ever had before. Chris's world record, book of

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world records and Toby's book of world records,

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which now might conflict and there's no final

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official. Yeah. Now we have Jenny Ai, which is

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just a really good storyteller. Yeah. A very

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confident storyteller too, right? Very confident.

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And so the expectation of the humans doing the

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work, it's for them to almost match the cognitive

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bias of what's expected. And so what's interesting

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is the throughputs haven't changed. Like strategy

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hasn't changed or maybe it has changed. I don't

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know. But like, I think the, I think Geni will

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change a lot of things. It's going to, it's going

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to revolutionize coding. It's going to revolution

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a lot of things. But I think in larger orgs,

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unless they're strategically aligned, it will

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create a lot of sinews that just go out and look

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for, look for solutions. Like it'll replace,

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it'll replace fast, it'll replace slow thinking,

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slow methodical craft, like our ability to be

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craftsman. Chris, what's, what's interesting

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about the, I love the word paradox that you used.

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I feel like the, you and I've talked about this,

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maybe even on the podcast. I did a lot of process

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re -engineering on the heels of Sarbanes -Oxley

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compliance work. That legislation was introduced

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and as it was a result of the Enron's and MCI's

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just horrible corporate malfeasance. People doing

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wildly inappropriate and very modern things.

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They were just, you know, 20 some years early

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in their misbehavings. And so the thought was

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not... It's not enough to report financial numbers.

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We have to understand whether or not we trust

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the underlying process. And the only way we can

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trust a process is if we can verify it. Yep.

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And so a lot of this work meant, you know, now

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having somebody else review the task before you

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finalize it. And so in the accounting world,

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they called it park and post. Someone could make

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a journal entry, but someone else would have

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to review it and then they would post it. So

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we had two sets of human eyes on it. Yep. Well,

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We talked about paired programming once upon

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a time, and that was this revolutionary new way

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of instead of having one person code in a second

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due QA, it's live collaborative QA. But again,

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two humans, two sets of eyes. So now in this

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world of AI, we have sometimes half of a human

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paying attention and randomly throwing prompts

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in, not doing that strong editorial work, which

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as every writer knows is probably the most painful

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part of writing. is having to go back and edit

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your own stuff. But then we throw it over to

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somebody else without a second review and we

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treat it as fact. And so now generative AI allows

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us any so much of this, you know, constructing

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something that with, with limited prompts, whether

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it's the gen AI other components, we're letting

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the machines do a lot of this thinking or this

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production. Um, but that we've removed some of

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this scrutiny, some of the rigor around the throughput.

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And really asking, did it create what I believe

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was requested? And so to your point, it almost

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feels like not only are we not hitting the expectation,

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but almost we're surrendering the verify under

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the belief that this system is self -verifying.

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And so we just simply trust what's being produced

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out of these chatbots. So it is alarming as we

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think about faster code, we think about faster

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social media posts and creation. And it causes

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a dissonance, you know. Somebody hands it over

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with confidence, but it doesn't meet any of our

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expectations and it feels off. Well, and think

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about like, we're already inundated with emails.

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We're already inundated with tasks. We're inundated

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with tools. And GEN .AI is just another input

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into our already crowded brain. Yeah. It just

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doesn't like that leads to burnout. It's just,

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it's just the way that it works. Like there's

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no way around it. Well, so Chris, let's, I think

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that the burnout is the common theme that bad

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process. That's how it typically manifests, right?

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We're like, time out. I'm going to walk away

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because it's blowing my mind. So if we put on

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our process that lens, we realize this AI train

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is not stopping. Oh no. And it shouldn't. And

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so just like it was with the internet and all

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of a sudden it's like. I don't have, I only had

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three phone messages on my machine when I came

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back to my physical phone and somebody says,

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yes, but I sent you a 700 emails that you never

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read. You also need to now learn how do we consume

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what AI is generating. So what are these thoughts

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about avoiding burnout and much higher inputs,

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higher expectation of outputs, but our throughput,

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our ability to be present to the work and really

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manage it in a way that we can own it? and have

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some accountability for. What are some things

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that you've been kind of stirring around or sitting

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with? Yeah, and we don't have time today. Maybe

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we should talk about this in the next podcast.

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But I just finished Calport's book on slow productivity.

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And I think that this is where this thought really

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came from, which is like, if you look at most

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systems that are successful, they're almost always

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a pull system. The work is done and then they

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pull the work in, right? And unfortunately, knowledge

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workers are almost exclusively pushed work upon,

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right? So the boss asks for something. The, you

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know, your colleague asks for something. You

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have a report, like almost everything is just

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added. And so with gen AI, like the challenge

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is it just becomes easier to add. And there's

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only, you know, there's only 24 hours in a day.

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And I had a colleague once that said, You know,

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how's it going? He's like, well, I'm only working

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part time, only 12 hours a day. I'm like, that's

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awesome. Yeah. And what a horrible, what a horrible

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scenario to find yourself in. Like, oh yeah.

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I know that there's days where even on the longest

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day, very productive day, I'm super aware of

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the 17 things that I've left unfinished. Oh yeah.

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And honestly, I think the more productive I am,

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the more aware I am of what's unfinished because

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I've got them all organized. That's why I was

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able to be so productive. I think that's what

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gets lost, is if we can slow down and do the

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one thing and do the one thing well, and it aligns

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corporately with where you're headed, then magical

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things can happen. But if it misses, or if everybody's

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just doing all the things because they can do

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it faster, not everything needs a sports car.

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They're not out farming the fields with a Ferrari.

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There's a John Deere tractor out there having

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a grand old time. That's right. I love the right

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tool for the job Yeah, you said something a second

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ago that I want to go back to as well And it's

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the one thing one thing for the day that makes

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sense if you operate in the world with a single

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stakeholder That you're serving on a given day.

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I Think a lot of us whether you're inside of

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one business serving multiple stakeholders Not

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just your manager, but maybe a downstream team,

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depending on the jobs you're working in, with

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so many stakeholders. And I've not read this

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latest Cal Newport book. So now I'm going to

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have to add that to my podcast or my Audible

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series. Notice I didn't say book on tape, which

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is still very much the 19th, 19 hundreds of me.

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So I like very specific about Audible, I guess

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now. So slow productivity. What is your thought

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about how you're serving multiple stakeholders?

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You and I talk about this a lot, whether it's

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direct manager, manager's manager, executive

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over the team, upstream, downstream. How have

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you synthesized that idea of getting super prioritized

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around the day? I mean, Toby, I just said it.

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I just told you earlier I was overwhelmed. So

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I have not been doing it very well. Nice and

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more uncomfortable pressure. I do think, you

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can kind of wrap it up here, but I do think that

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what I'm going to take away from just these thoughts

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are, I have to get very clear on what the outputs

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are so that I'm not wasting time on useless outputs

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or useless assets. And so if my stakeholders,

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be that my clients, my customers, or even my

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boss or boss's bosses, If they're not interested

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in seeing something that I create or I craft,

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then really it's just me kind of buying into

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that corporate stress that we think is responsible

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and it's just chewing us up. Chris, I love that.

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It also kind of speaks to the alignment piece.

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What you're producing doesn't make sense to aligned

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stakeholders that should have the same interests.

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and desire the same outcome, then that's probably

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a different conversation. Yeah, for sure. I apologize

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for throwing some more overwhelmed fuel on the

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fire. Let's talk about really sensitive topics

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in future sessions. What else is creating stress?

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Yeah, let's put the weight on that. I mean, I

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think it's good because I think you get to these

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points and you have to decide what you can control

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and get very clear. You know, if you talk to

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people like, well, I don't talk to people, but

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if you read stuff like Buffett from Buffett or

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Gates and they're like successful people are

00:15:05.480 --> 00:15:09.799
focused. Right. And that yet, like when you're

00:15:09.799 --> 00:15:14.200
oftentimes like that's a miss for me, me corporately,

00:15:14.200 --> 00:15:16.879
right. It's like, I just, I lack that focus because

00:15:16.879 --> 00:15:19.519
it's like, cause it can change so often. And

00:15:19.519 --> 00:15:22.799
GNI is not making that any easier. I love that.

00:15:23.620 --> 00:15:25.600
All right. We've finished another. We'll catch

00:15:25.600 --> 00:15:28.750
you next week, man. The input output throughput.

00:15:29.830 --> 00:15:32.110
All right. Talk to you later, man. See ya. Bye.
