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Learn how to build a better sign and print shop from a few crusty sign guys who've made
more mistakes than they care to admit.

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Conversations and advice on pricing, sales, marketing, workflow, growth, and more.

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You're listening to the Better Sign Shop Podcast with your hosts, Peter Kourounis, Michael
Reilly, and Bryant Gillespie.

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Hello.

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Welcome back to the next episode of the Better Sign Shop podcast.

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I'm your host, Brian Gillespie, joined by Mr.

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Mike Riley, the burrito bunny, is that what that says?

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Burrito bunny.

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gonna be both someday I'm going to show up in my bunny costume and the burrito costume.

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You do have a burrito costume now.

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unrelated project, but I'm excited for that one too.

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Well, Mike, the last AI episode was rather ominous.

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We're going to try to stay off of that tone, but you know, if we end up there, we'll see.

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In this episode, I think we'll just jump right into like what's happened since the last
episode.

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AI is changing like super fast.

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I know you've gone down a rabbit hole.

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But I don't have a super structured outline.

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Maybe we'll just talk about where we're at AI, February, we probably need to date this
one, right?

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February 20th, February 19th, my daughter's birthday is tomorrow.

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That's exciting.

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Yeah, and then we'll just dive into some of the tools that we've been using because this
shit is gonna be outdated in six weeks again.

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I was just going to say, refresh our memory for context.

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How long ago was it that we recorded the other one?

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was only not even two months ago.

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Six, seven months ago, six, seven weeks ago.

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Yeah.

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Yeah.

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I mean, in, that short amount of time, what

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What has happened to you, my friend?

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Me?

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Well, I've, I've like just completely like fully gone, like tin, tin foil hat, like AI
rabbit hole.

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I'm so in, I'm in so deep at this point that like, I can't, I don't know which way's up.

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It's crazy.

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It's such, it's such an insane technology.

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Like when we did our last episode, you know, I would say I probably kind of was a little
bit more than a casual observer and using the tool every day, but just on the very surface

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level.

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And since then, I've really, you know, dug extremely deep into the tools and a lot of, you
know, prompt building stuff and really trying to understand how the technology functions

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under the surface and, and what it does more.

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And the more you learn about it, like the, the crazier it gets, like, it's like, it is
like a rabbit hole.

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It's like, the farther you dig into it, trying to understand it and look for answers and
like,

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the more you uncover and it just continues to add, you know, more to the rabbit hole.

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It's never ending.

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Like in the rate that it's changing and growing is, is, is mind boggling.

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I, you know, I think, was it three weeks ago that deep seek was released and

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Where it shows you the thinking behind it, which is super.

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Yeah, instead of just saying thinking, it actually shows you its train of thought.

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And it is so human like.

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I mean, when I when I first saw I mean, it's kind of like, I'm used to it now.

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But when I first saw it, it was it was actually unnerving.

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You know, because it was actually was referring to itself in the in first person.

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And in it was an actual such a human

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train of thought like like stream of consciousness thinking.

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And to have seen I think I think that was kind like the aha moment for me when I when I
actually saw what is going through its quote unquote brain behind the scenes.

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I realized this is something that's way way above.

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I don't know my pay grade.

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I don't know.

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But yeah, I mean, since we last talked about this deep seat came out.

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Open AI is released.

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three.

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quad hasn't done anything.

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Still, same old clod, but they're still beating everybody somehow.

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Yeah, it's still a very good model.

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You and I are very much like, it felt like over the last three to four weeks, maybe last
six weeks, since you started diving into this a little deeper, we're locked into this hold

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my beer thing of like, hey, here's what I did today.

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And then you're like, no, no, no, wait, hold my beer.

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Have you seen this?

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Right before we started recording for everybody listening, Brian and I were just kind of
catching up a little bit and talking about like, you know, my my insane work schedule.

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And I'm usually up till two or three in the morning every night.

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And I feel bad for Brian because I know when he sits down on his computer in the morning,
he's got just like this waterfall of messages from me on Slack, like, dude, look at this

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crazy thing that I found on Reddit last night.

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You know, at this point, it's like just like scrolled right past it.

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But I mean, I feel like

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I can remember the meme of the guy from It's Always Sunny in Philadelphia, know, with all
the, you know, pictures on the wall and the strings connecting.

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I mean, that's kind of how it feels because when you start digging into it, it's, it is,
it's, it's such a revolutionary technology.

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and so I don't even know what the, what the word for it, what the word for it is, but the
more, the more I understand about it, the more I realize it's not, it isn't a novelty.

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And it's not just a tool right now we want to look at it as it's a tool, it's a tool we
can use to help us do our jobs more efficiently.

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And that's true.

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But under the surface, this is a lot more to it than that.

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It's it's more than just a tool.

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And I don't know, I'm not supposed to make an ominous.

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I'm excited to see where that goes.

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I mean, it's hard not to wind up there, I waffle back and forth between like, you first
experience some of these things, like these new models, and you're like, holy shit, this

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is going to change everything.

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Then you get a little used to it and you understand some of the quirks and you're like,
okay, now I can figure out which box to put this in.

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But when we were talking about this shit a year and a half, two years ago though, it's...

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I never thought it would be this far, this fast.

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what's to say that it's not going to continue to just accelerate and get there at an even
quicker pace?

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I think that, you know, I think it is.

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if you, I wish I don't have a screenshot I could share, but maybe you can cut this into
the video.

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There's a, I'm sure you've seen the, the, the growth curve of, you know, the intelligence
of the models and, and, and as it, you know, as it progresses, every model is released

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closer and closer and that curve is essentially on an exponential, you know, vertical
incline right now.

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I mean, it's at the point where it's

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it's taken off like a rocket and I don't You know, is it ever going to slow down at that
point?

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I mean, what's the I don't think anybody even understands how it works So how do we know
what the theoretical limit of what this thing's capabilities are?

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You know

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All right.

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So we waxed it like a high level.

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Maybe we'll walk through, which tools are you using on a daily basis now?

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then, maybe you share one, I'll share one.

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We can go back and forth and maybe play it that way to try and...

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We could probably do this all day.

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The listener probably hopes to get some value out of this other than just listening to us.

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wax poetically about it.

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what's your main driver as far as AI,

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That's a that's a that's a loaded question.

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I don't have one.

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I use literally on a daily basis.

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I use chat GPT and Claude and I have them both open on my browser always and they're never
closed at this point.

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I mean, that's to the point where

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I want to say I can't make a decision without them.

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But I find myself sorry, I got myself into the habit of using them to bounce any idea I
have off of, you know, whether it's a business idea, or something I'm trying to design, or

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what to have for dinner, you know, I find myself turning to them as maybe like a an
advisor almost, or

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appear that I trust to, you know, give me objective opinions about something that I'm
doing.

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But I find that, you know, Chagy Petey and Claude definitely give different responses.

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So depending on the nature of the question, I'm asking it all, you know, kind of make a
choice between which one.

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And then I'm also using mid journey a bit for image generation.

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But, you know, to be honest with you,

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Image generation is not, it's not where it needs to be or where I think we all want it to
be.

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It can create some really beautiful, amazing images sometimes, but as a, you know, more of
a technical designer like me, beyond ideation, it's not really too helpful.

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Like right now I can't generate output that I can actually use for anything, but it can
help me generate ideas.

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but yeah, have you been on mentoring lately?

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Have you checked it out?

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I have not.

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It's interesting, you had to be on Discord to do it.

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They've really improved the UI, they actually have their own UI now that you use versus
having a good Discord, which is a lot better, and it's got a lot of settings and you can

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tweak the randomness and how many hallucinations it allows and stuff like that.

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And it's better than it was, and the image quality's good.

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It's not that the images it creates aren't good, it just...

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something is as niche and technical as signage design like I do it.

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It can't come up with anything that's truly production ready, I guess, for lack of a
better term.

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But it is great for ideation.

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But I think that graphic designers at least specialized graphic designers, and logo
designers to I think I think branding designers, graphic designer in general, that we

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don't have a lot to worry about anytime soon.

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Like AI is not going to take our jobs because it just without

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without a truly human subjective element to it.

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I don't think it can ever fully reproduce what we we see.

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Or emulating it right?

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That makes sense.

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But as far as like writing stuff, I mean, if you're writing copy for a website, business
plan, anything like that, like it's unbelievable at that.

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And as time goes on, these models get better and better and better.

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you know, I, I asked it to write a blog post the other day about using CorelDRAW to design
sections for aluminum extrusions for like sign cabinets and stuff, like sign composition.

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I was asking it to, to help me with that.

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It's just, you know, it's, it's mind boggling.

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Like it spit out a three page blog post that was

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so technically accurate.

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It looked like I wrote it, you know.

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And that's something that's not like common everyday information.

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I couldn't Google that information and find it.

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So at this point, where's it

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It's buried in there somewhere in the machine.

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I know right like it's it's the ghost of the machine right

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Well, let's zoom in on one specific thing.

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Are you going to chat GPT and Claude, or are you using this typing mine thing that you're

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yes, typing mind is the online platform that I use.

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It's kind of like a, how would you describe?

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It's basically like looking at this and I'm afraid to share my screen because I'm going to
get robotic again because I got like 35 things going.

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But maybe we just weave this into the edit.

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Do me the trash, you're mine.

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Yeah, you try to see if it works for you.

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Like I've got like $1,500 or $2,500 worth of cameras set up.

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like I've got a fancy MacBook that's maxed out from three or four years ago, but it still
just bogs down.

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It just doesn't like anything.

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Probably all the cables and connections going.

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But basically, typing mind is what I would call it just like a GPT wrapper, of like, this
is, you could pick back and forth between these different models.

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All these different models are in there.

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And it's nice from the perspective of, you've just got one app that you're using that has
all of your conversations and your threads and.

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Obviously you've used it more than I have, so maybe share a little bit about your
experience versus the individual apps.

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Yeah, so this one requires having a an API account for whatever AI that you're using.

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So in my case, I've got a cloud AI account or API account and then a chat GPT API account.

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So instead of going to their, you know, their web interface, like, you know, just going to
chat GPT calm, I go to typing mine here and select like, want to use GPT four turbo, and

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that will

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access chat GPT for just like I was on their website, but it's through this couple
benefits to it is it's a little bit faster, especially with Claude, you don't run into

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messaging limits.

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Like, I don't know if you use Claude a lot, but you don't run into a lot of do you don't
you ever run into the messaging limits on there?

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Not usually, no.

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Sometimes it'll switch into the concise mode, which is kind of frustrating.

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But yeah, I, for whatever reason, I don't know, maybe it's just the peak time of day that
I'm trying to use it, but it was almost always in concise mode for me, but I hit messaging

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limits where I had to wait five or six hours before I could even talk to it again, which
was really frustrating.

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So the AP using the API eliminates that.

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the cost is a little bit cheaper for, you know, per chat as well.

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And then there are additional plugins and stuff you can, you can add to this.

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One of the, one of the coolest things though, that I really,

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like me see if can find it here

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Oops, wrong place, kind of forget where I'm at.

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There we go.

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So you can adjust for each different model or globally, the temperature and top P top K,
all these sliders here basically control how accurate creative it is, how much it

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hallucinates, how technical versus how

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you know, free format.

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Like, creative, gets right and then you can put your own expand this.

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So you can put these, you know, kind of like instructions for like, this is how I want you
to respond.

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This is what I want you to do.

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Basically, basically, yes, you're kind of telling it how you want it to interact with you
above just its default, you know, setting, I guess, which is which is pretty and you can

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do all this in, you know, the

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the regular web interface as well.

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But I think you have a little more control over here.

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So for one thing for me, it's just a little bit more convenient to have it all in one
right here.

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I've got my cloud, my cloud chats and my my GPT chats, you know, right here together.

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There's not a phone app for this, though, which kind of sucks because I use it on my phone
constantly as well.

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And you know what mean?

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So that I either have to go to the website for it I just end up opening the the cloud app
on my phone.

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And then those chats don't show up here.

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So that's kind of a kind of sucks.

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Yeah, I think where this gets interesting is for like sign shops is obviously like the,
know, chat GPT and Claude, I think they both have like team accounts, but I don't think

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it's like a shared workspace, right?

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It's just like, like, hey, here's the team account.

206
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And I think this typing mind does have like a team account where.

207
00:16:59,848 --> 00:17:00,872
It does.

208
00:17:00,900 --> 00:17:01,802
Yeah.

209
00:17:02,328 --> 00:17:15,678
put a bunch of stuff together in one and it has like knowledge base type stuff where you
can upload documents and add that for context and have it be across the organization.

210
00:17:15,678 --> 00:17:23,264
Because that's struggle in a business setting is like, how do we do this collaboratively
sort of thing.

211
00:17:23,264 --> 00:17:23,814
Right.

212
00:17:23,814 --> 00:17:28,295
Yeah, I haven't played around with this because I don't have a team to share it with here.

213
00:17:28,396 --> 00:17:29,425
But yeah, it does.

214
00:17:29,425 --> 00:17:31,566
I remember seeing this when I was signing up for it.

215
00:17:31,566 --> 00:17:41,869
It's a paid add on for but yeah, I mean that I could see that being a barrier of entry to
especially businesses adopting this if you're you you have a creative team or something

216
00:17:41,869 --> 00:17:48,011
and you're or just a, you know, a copywriting team or a web development team or something
like that.

217
00:17:48,011 --> 00:17:51,062
I could see having the ability to collaborate on these.

218
00:17:51,168 --> 00:17:54,580
across multiple people and teams would be hugely beneficial.

219
00:17:54,741 --> 00:18:00,265
So that I think that that probably is a selling point for a lot of people.

220
00:18:01,487 --> 00:18:04,819
But yeah, it's it's a it's a pretty slick app altogether.

221
00:18:04,819 --> 00:18:06,460
And there's a there's a lot of these in typing.

222
00:18:06,460 --> 00:18:14,737
Mine is just kind of the first one that I found when I asked chat GPT, what's the best AI
desktop platform to use?

223
00:18:14,757 --> 00:18:17,640
And that's a that's actually a good one.

224
00:18:17,640 --> 00:18:21,012
I don't I hardly ever use Google anymore.

225
00:18:21,414 --> 00:18:30,258
I've just sort of naturally migrated to asking it of chat GPT or Claude, but Claude isn't
as good as a search engine as chat GPT because it doesn't have internet access.

226
00:18:30,619 --> 00:18:40,454
But I find if I, know, something that I would go to Google and look up, I look up on chat
GPT and the answers I get are usually a lot more specific to what I'm looking for.

227
00:18:40,454 --> 00:18:44,866
And obviously there's no, you know, ads trying to sell me shit I don't want.

228
00:18:45,268 --> 00:18:50,571
So I like, obviously like, I think we talked about it maybe in the last one or one of the
previous episodes.

229
00:18:50,571 --> 00:18:53,543
Like I'm working full time at a company called direct us right now.

230
00:18:53,543 --> 00:19:03,048
This is unrelated to signage, but like one of the things that we're seeing like marketing
wise is a like Google search is still number one for how people find us.

231
00:19:03,048 --> 00:19:14,454
And then, you you've got like referrals, which are a big piece of like, Hey, I worked for
a company that used direct us that used this previously and I brought to a new company.

232
00:19:14,578 --> 00:19:17,000
or somebody at work gave me a recommendation.

233
00:19:17,000 --> 00:19:24,765
But behind that, GPT and the LLMs are next as far as recommendations.

234
00:19:24,805 --> 00:19:41,977
And it's crazy how much that has grown where it's almost like another layer of SEO that
I'm concerned about of how do you get your company indexed into these models so that you

235
00:19:41,977 --> 00:19:43,828
come up in recommendations, right?

236
00:19:43,894 --> 00:19:55,846
And that's gonna be, for the sign shop owner, that's gotta be an important thought as well
of how do I get access to this?

237
00:19:55,846 --> 00:20:09,422
When people start asking questions like who's the best sign company in Bluefield, West
Virginia, which they type into Google now, but how do I get my name surfaced through that?

238
00:20:09,422 --> 00:20:12,302
It's a really good, good question or good point.

239
00:20:12,302 --> 00:20:14,222
I've never really even thought about that.

240
00:20:14,222 --> 00:20:24,842
But yeah, I mean, there's a I don't know if it's science or witchcraft to getting rank
high in Google searches, you know, like, I don't think anybody knows that really talk

241
00:20:24,842 --> 00:20:27,442
about something that nobody understands behind the scenes.

242
00:20:27,722 --> 00:20:35,722
But you know, I mean, that's a massive industry, just SEO and, you know, trying to get
people on the first page of Google.

243
00:20:35,822 --> 00:20:37,862
And yeah, like how

244
00:20:38,862 --> 00:20:44,642
You know, on one hand, nobody knows how the Google algorithm works or how that really
happens.

245
00:20:45,002 --> 00:20:50,362
But I think we all know that it's, you know, probably money that has something to do with
it.

246
00:20:50,362 --> 00:20:52,422
But is that going to be the case with AI?

247
00:20:52,422 --> 00:20:53,642
Like, can you monetize that?

248
00:20:53,642 --> 00:20:59,842
Can you, is it a pay for play type of thing where the more you pay, the higher, the more
likely it's going to be?

249
00:21:00,362 --> 00:21:01,702
How's that going to work?

250
00:21:02,062 --> 00:21:05,602
I'm gonna go for this and see if this actually works.

251
00:21:06,142 --> 00:21:08,342
If I get robotic, let me know.

252
00:21:09,922 --> 00:21:16,482
All right, so it's been impossible to miss the AI overviews from Google, right?

253
00:21:16,482 --> 00:21:25,602
So if you get a search like this where it's like, what is the sign company, it'll generate
this AI overview based on results it's come up with.

254
00:21:25,602 --> 00:21:30,178
Now, as far as I could tell, it's still saying this is experimental.

255
00:21:30,178 --> 00:21:43,847
But when you start doing like sign company in Bluefield, West Virginia, you get like the
traditional places widget, I guess you could call it, instead of like the AI overviews.

256
00:21:43,847 --> 00:21:55,013
So what I'm assuming is happening right now because like ads and search are big Google
business, especially local, right?

257
00:21:55,854 --> 00:22:06,474
it is refraining from doing like an AI overview that says, okay, here's the three sign
companies in Bluefield, West Virginia, and who, you know, based on reviews or something

258
00:22:06,474 --> 00:22:11,594
like that, and analyzing the website content, who you should pick.

259
00:22:11,614 --> 00:22:21,614
But, you know, to me, it's not necessarily a stretch to assume that like, Google may
eventually do that, or somebody else will do that, or, you know, people will just go

260
00:22:21,614 --> 00:22:24,674
directly to chat GPT or Claude, right?

261
00:22:24,674 --> 00:22:25,510
And I've

262
00:22:25,618 --> 00:22:26,698
That's an interesting one.

263
00:22:26,698 --> 00:22:29,359
I've not actually done this really.

264
00:22:29,519 --> 00:22:37,001
Who's the best sign company in Bluefield, West Virginia?

265
00:22:37,241 --> 00:22:42,183
And some of these models are probably trained not to answer this.

266
00:22:43,083 --> 00:22:50,485
So I would be curious if you throw this through typing mine, what you would get out of it.

267
00:22:51,606 --> 00:22:53,852
Or through the API.

268
00:22:54,318 --> 00:22:54,977
some.

269
00:22:54,977 --> 00:22:55,997
accounts.

270
00:22:57,006 --> 00:23:04,599
Well, I've got, I've got, chat GPT pulled up here and just type that same, same exact,
question in there.

271
00:23:04,599 --> 00:23:06,051
Let me share my screen.

272
00:23:06,051 --> 00:23:07,523
I'll show you what it showed me.

273
00:23:08,205 --> 00:23:09,286
there you go.

274
00:23:11,074 --> 00:23:14,259
who is the best sign company in Bluefield, West Virginia.

275
00:23:14,794 --> 00:23:16,174
And that's what we got.

276
00:23:16,174 --> 00:23:22,990
So it kind of came up with a similar result to what Google did, gave us a map and then a
little brief.

277
00:23:22,990 --> 00:23:23,922
Beckley, West Virginia.

278
00:23:23,922 --> 00:23:25,126
That's a good sign company.

279
00:23:25,126 --> 00:23:26,645
The old Beckley, West Virginia.

280
00:23:26,645 --> 00:23:28,196
that's the fast signs location.

281
00:23:28,196 --> 00:23:29,007
Okay.

282
00:23:29,036 --> 00:23:31,059
me try that same thing in typing, man.

283
00:23:31,059 --> 00:23:33,731
I'm just curious if that's going to give us a different result.

284
00:23:34,253 --> 00:23:35,593
Change that to...

285
00:23:35,630 --> 00:23:40,110
Yeah, and the distinction there is obviously like Claude is not searching the web.

286
00:23:40,110 --> 00:23:51,210
it's, you know, like whenever they've done like the training for this and like the system
prompt is probably saying, hey, like if somebody asks for a recommendation and you don't

287
00:23:51,210 --> 00:23:53,970
have context, don't provide it.

288
00:23:53,970 --> 00:24:02,290
You know, I'm sure you could, I've seen like the Twitter threads or the X threads where
people like try to jailbreak the system prompts and get around it.

289
00:24:03,407 --> 00:24:06,228
Yeah, I've been successful at that a few times.

290
00:24:06,588 --> 00:24:10,370
To an extent, like there's a limit to what I think you can realistically get away with.

291
00:24:10,370 --> 00:24:15,022
But if you talk to it, if you're really sweet to it, like it sounds hilarious and stupid.

292
00:24:15,022 --> 00:24:21,985
But if you handle it with kid gloves and you talk to it really polite, this is actually I
find this more true with Claude than chat GBT.

293
00:24:21,985 --> 00:24:29,978
But if you're really nice to it, really polite to it, and ask things a very specific way,
you can convince it to kind of skirt its

294
00:24:29,996 --> 00:24:31,646
it's rules a little bit to a point.

295
00:24:31,646 --> 00:24:34,907
And it's really interesting when that when you when you get to do that.

296
00:24:35,328 --> 00:24:35,918
Crazy.

297
00:24:35,918 --> 00:24:41,449
Yeah, I mean, you're basically asking it to roleplay a different in a scenario.

298
00:24:41,449 --> 00:24:46,851
And when it when it thinks it's pretending or playing and not actually being, you know,
giving you a serious answer.

299
00:24:46,851 --> 00:24:49,542
Sometimes you can get it to to jailbreak itself.

300
00:24:49,542 --> 00:24:50,592
And it's fun.

301
00:24:50,672 --> 00:24:57,694
So I put that exact same prompt into typing mind using GPT four, and

302
00:24:59,829 --> 00:25:01,985
back was something totally different.

303
00:25:01,985 --> 00:25:02,856
different, which is so weird.

304
00:25:02,856 --> 00:25:05,798
I mean, same account, same model, same everything.

305
00:25:06,359 --> 00:25:06,930
So that's strange.

306
00:25:06,930 --> 00:25:09,342
I wonder if the API has different.

307
00:25:10,636 --> 00:25:23,017
Yeah, like ChatGBT is a, like there's certainly like a wrapper around that that's using
the APIs, but it's basically like its own service with its own limitations.

308
00:25:23,017 --> 00:25:33,985
And same for Claude, It's interesting though, like especially once you get into the web
search and the tool calling and like all of that stuff.

309
00:25:34,786 --> 00:25:38,249
All right, not to get too far off track.

310
00:25:39,340 --> 00:25:44,039
So let's circle back to text generation.

311
00:25:44,039 --> 00:25:46,547
are you using this for?

312
00:25:46,547 --> 00:25:48,085
Copy on your website.

313
00:25:48,728 --> 00:25:50,460
What's your flow look like for that?

314
00:25:51,554 --> 00:26:05,980
So I've got a Kind of a project started in chat GPT Actually, I have one in chat GPT in
claw depending on kind of the context of what I'm gonna be writing But that that projects

315
00:26:05,980 --> 00:26:16,255
which anybody who doesn't know about projects in either in any of these tools a project is
it's like a it's like a chat that You self-contained that's kind of self-contained and you

316
00:26:16,255 --> 00:26:18,966
can give that chat specific instructions

317
00:26:19,168 --> 00:26:31,193
just for that particular project you can give it like reference files so if you like a
certain writing style say or you have a bunch of technical you know documents or reports

318
00:26:31,193 --> 00:26:41,237
or something like that that you wanted to use as reference material you can add all of
that to your project and it instead of just going out in the broad web and it's you know

319
00:26:41,237 --> 00:26:48,320
it's it's training it will heavily look at and consider your your project references.

320
00:26:48,542 --> 00:26:49,619
cool, you got one.

321
00:26:49,686 --> 00:26:50,236
Yeah, yeah, yeah.

322
00:26:50,236 --> 00:26:51,466
Let's go.

323
00:26:51,987 --> 00:27:03,790
So I did that AI workshop like eight months ago and it's it's totally outdated, but like
I've got Claude set up and I've got, Brian's Ghostwriter is the name of it, right?

324
00:27:03,990 --> 00:27:16,184
And again, just like you said, what this does, it's available on both chat GPT and Claude
and like most of these have it now, but like for specific tasks, this is the best way that

325
00:27:16,184 --> 00:27:18,174
I've found to get great output.

326
00:27:18,254 --> 00:27:22,714
And it all starts with the system prompt where you're setting up the instructions.

327
00:27:23,934 --> 00:27:28,274
typically, I'm leaning towards the role play scenarios that you're talking about.

328
00:27:28,274 --> 00:27:32,134
Here's your role, here's your task, follow these guidelines.

329
00:27:32,134 --> 00:27:39,714
So for example, the Bryant ghostwriter here is, hey, you're a world class ghostwriter, 15
years of experience.

330
00:27:39,714 --> 00:27:42,874
You create compelling content that educates and entertains.

331
00:27:42,874 --> 00:27:46,254
You will write whatever I tell you to, basically.

332
00:27:46,382 --> 00:27:49,522
And then you give it more specifics, right?

333
00:27:50,142 --> 00:28:02,222
And to get these rules, the funny thing is you can get meta on top of meta on top of meta
with it, and you can take something you've written or take a transcript of you talking to

334
00:28:02,222 --> 00:28:11,542
somebody, paste it in here, ask it to analyze and give you the tone and the voice and the
style, and then feed that back in.

335
00:28:11,542 --> 00:28:15,398
And you can get so close to...

336
00:28:16,182 --> 00:28:18,093
just how you write.

337
00:28:18,093 --> 00:28:33,527
It's almost, it's uncanny, Where, like, you're asking AI to write something, especially
Claude, I find it's great at writing, where I get really close to, like, I look at it I'm

338
00:28:33,527 --> 00:28:37,488
like, I don't know how I would wrote this differently if I was writing it.

339
00:28:37,488 --> 00:28:45,710
And I don't know if that's just, like, seeing it on the page already, or, but like, I read
it and I'm like, it's pretty close.

340
00:28:45,710 --> 00:28:46,450
Right?

341
00:28:47,251 --> 00:28:53,957
So like tone wise, use confident tone, be approachable, use plenty of real world
analogies.

342
00:28:54,077 --> 00:28:56,519
I've got like a very distinct style.

343
00:28:57,440 --> 00:29:01,663
I try to like in emails or anything, I write like I talk.

344
00:29:01,844 --> 00:29:03,645
So that's what I've told it here.

345
00:29:03,966 --> 00:29:13,686
One of the other big like tips I would say if you are using this for any type of writing
that you're to share, make sure you explicitly tell it like

346
00:29:13,686 --> 00:29:16,707
Avoid buzzwords, avoid marketing language.

347
00:29:17,727 --> 00:29:25,249
Call out some of the things like delve or revolutionize, streamline, like some of the
cliches, like tell it not to use that.

348
00:29:25,409 --> 00:29:36,092
I've basically got this line in every GPT prompt probably of like avoiding prolix and
lengthy explanations of basic concepts and stuff like that.

349
00:29:36,212 --> 00:29:38,733
Avoid like the stupid terminology.

350
00:29:38,953 --> 00:29:43,042
then, like some workflows, I may even have it.

351
00:29:43,042 --> 00:29:57,954
like a separate pass where like you tell it to write something and then come back and say,
like now, like humanize this, like break a few rules just to get it to sound more like me.

352
00:29:57,954 --> 00:29:59,114
That's a good idea.

353
00:29:59,628 --> 00:30:04,829
But as far as what I've given this, right, is just a sample article.

354
00:30:04,829 --> 00:30:07,714
Like this is something that came from the direct...

355
00:30:09,894 --> 00:30:11,445
and just giving it a sample of the writing.

356
00:30:11,445 --> 00:30:16,137
And within that, once you do it, it's pretty close, right?

357
00:30:16,137 --> 00:30:36,945
So I can go in here now and say write an outline for a blog post about, I think this was
trained on technical content, so the five tips for getting more SEO juice for your

358
00:30:36,945 --> 00:30:37,986
website.

359
00:30:41,144 --> 00:30:41,876
say?

360
00:30:41,876 --> 00:30:44,200
no, I'm just agreeing with you.

361
00:30:45,998 --> 00:30:47,738
Yeah, so like headline wise, right?

362
00:30:47,738 --> 00:30:50,858
Like five SEO tips that actually work and won't make you feel gross.

363
00:30:51,238 --> 00:30:52,598
Like, and that resonates with me.

364
00:30:52,598 --> 00:30:56,998
Like that's something, that's how I would, that's almost how I would phrase something.

365
00:30:57,938 --> 00:30:59,278
And this is just the outline.

366
00:30:59,278 --> 00:31:04,838
And then, you know, to complete this thought, and I'll let you talk in a minute, Mike.

367
00:31:05,098 --> 00:31:10,798
Basically like, I would, like if I was trying to get an article out of this or like copy
for a landing page, right?

368
00:31:10,798 --> 00:31:16,198
Then you just proceed to, you know, either like, Hey, I'm good with this outline.

369
00:31:17,735 --> 00:31:27,419
Or you know make whatever edits you want to the outline and then you know let's proceed
with the intro paragraph And you take it brick by brick instead of trying to get like a

370
00:31:27,419 --> 00:31:34,272
one-shot type of scenario Because that's where you get better results or at least in my
experience

371
00:31:35,928 --> 00:31:37,041
Totally agree.

372
00:31:37,045 --> 00:31:37,886
Yeah.

373
00:31:40,206 --> 00:31:51,406
And it's I mean, if anybody's tried to do this in any AI app, you know, a year ago, let
alone like two or three years ago, you can see how much better it is just by watching that

374
00:31:51,406 --> 00:31:58,366
that write that I mean, it's, you know, it used to be we were we were talking about this
the other day that that was a Jasper AI Jasper.

375
00:31:58,366 --> 00:31:58,546
Yes.

376
00:31:58,546 --> 00:31:58,766
Yeah.

377
00:31:58,766 --> 00:32:01,186
And it would it would write like two sentences at a time.

378
00:32:01,186 --> 00:32:08,326
it was it was yeah, you can get it would it would spit out two sentences at a time they
were

379
00:32:08,524 --> 00:32:12,217
barely coherent sentences, but we were still like, my god, this is amazing.

380
00:32:12,217 --> 00:32:20,334
And now, I mean, look at it now, you know, what I was gonna say is, you know, with the
project, like you just showed there, I've actually got a project with a bunch of prompt

381
00:32:20,334 --> 00:32:21,325
examples.

382
00:32:21,325 --> 00:32:30,653
So whenever I need a, you know, beyond just like a surface level type question, if I
needed to do something really in depth for me, like write a blog post or that I was trying

383
00:32:30,653 --> 00:32:36,278
get it to do that 3m vinyl color to Matthews paint color matching thing, you know, a
couple weeks ago,

384
00:32:36,384 --> 00:32:44,369
stuff like that, where it's really more of an in depth thing you're working on, you can
have it write your prompts for you if you kind of give it this is what I'm trying to do.

385
00:32:44,369 --> 00:32:52,483
Write a really extremely detailed comprehensive prompt for Claude or for chat GPT.

386
00:32:53,104 --> 00:32:55,925
I'll tell it like I'll tell Claude write a prompt for chat GPT.

387
00:32:55,925 --> 00:32:56,956
Weirdly, it doesn't get jealous.

388
00:32:56,956 --> 00:32:58,246
I kind of thought it would.

389
00:32:59,728 --> 00:33:04,160
Like honestly, like really like not joking, like I'm surprised it doesn't say like

390
00:33:04,160 --> 00:33:06,372
something about why are you using another AI?

391
00:33:06,670 --> 00:33:11,557
Right, but you know, it'll spit out this really detailed long prompt, you can copy and
paste.

392
00:33:11,557 --> 00:33:21,947
And I find that that goes a really long way as well towards, you know, getting, getting
better information out of it or more concise or detailed responses.

393
00:33:21,947 --> 00:33:22,738
So I do that a lot.

394
00:33:22,738 --> 00:33:28,830
I have it write my prompts for me a lot, or rewrite my prompts, maybe would be a better
way to put it.

395
00:33:29,806 --> 00:33:41,866
You know, I would be upset if we didn't just touch on the effect of something like this.

396
00:33:42,466 --> 00:33:49,346
I guess this delves back into the doom and gloom, right?

397
00:33:49,346 --> 00:33:57,506
Obviously, the speed and ease at which you can create content like this kind of sucks on
some level, right?

398
00:33:57,506 --> 00:33:59,398
Because I'm...

399
00:33:59,790 --> 00:34:09,318
I know probably a lot about SEO just because of my work and like the websites that I build
and things like that.

400
00:34:09,318 --> 00:34:24,450
But like on some other topic, like I could presumably get you 1,000, 1,500 words that make
you think that I'm an expert in about five minutes or less with one of these tools, right?

401
00:34:26,102 --> 00:34:29,742
So what does that do for...

402
00:34:29,742 --> 00:34:37,085
Like writers, obviously, huge problem if you are a writer and you're listening to this and
that's your profession, big issue.

403
00:34:37,085 --> 00:34:51,950
But you know, like business in general, if somebody can just whack a mold this stuff out,
article after article, like does the entire web just become noise and nonsense?

404
00:34:53,974 --> 00:34:54,465
You know what?

405
00:34:54,465 --> 00:35:04,412
I think a lot about that and it's a, it's a, it's a really, it's, it almost feels like a,
like we're standing on the edge of a precipice, right?

406
00:35:04,412 --> 00:35:08,696
And like, we have a choice to turn around and go back to, go forward and fall.

407
00:35:08,696 --> 00:35:09,516
Did we go to the level?

408
00:35:09,516 --> 00:35:19,852
know, I think if I was a copywriter, there, there are some, there are definitely some
professions right now that I would say not.

409
00:35:19,852 --> 00:35:22,173
not to be like a fear monger, but they should be afraid.

410
00:35:22,173 --> 00:35:23,353
Like they really should.

411
00:35:23,353 --> 00:35:36,135
And I think that copywriters are probably at the top of that list or pretty darn close to
it because at this point, like the writing is, is better than 99 % of copywriters out

412
00:35:36,135 --> 00:35:36,417
there.

413
00:35:36,417 --> 00:35:41,228
Like that's the, that's the cold hard truth about it is it's a better writer than people
are anymore.

414
00:35:41,828 --> 00:35:49,198
And that's going to be a difficult thing for a lot of people to come to terms with, you
know, for that type of business or that

415
00:35:49,198 --> 00:35:50,979
profession copywriting.

416
00:35:51,960 --> 00:35:54,781
I think it's gonna, it's gonna really quickly.

417
00:35:56,062 --> 00:36:00,505
don't know if decimate is the right word, but it's going to weed out the change farmers.

418
00:36:00,505 --> 00:36:07,638
Yeah, and only the really, really good ones are going to be left in the ones, you know,
copywriting, I think is probably going to be more about mastering prompts than it's going

419
00:36:07,638 --> 00:36:12,692
to be about, you know, at least marketing, copywriting and business copywriting, not
necessarily writing, right, The great American novel.

420
00:36:12,692 --> 00:36:16,834
But, you know, that some, like I said, like think

421
00:36:16,834 --> 00:36:23,920
graphic designers I think were safe for a while because it lacks the subjective human
element still.

422
00:36:24,721 --> 00:36:26,143
don't know, researchers?

423
00:36:26,143 --> 00:36:34,871
I don't know if you've really had a chance to look a whole lot at the new 03 research
model that's available in the research.

424
00:36:34,871 --> 00:36:36,972
The deep research, yeah, in GPT Pro.

425
00:36:37,293 --> 00:36:42,382
The $200 a month model, I don't have that, although I've been really tempted to subscribe
to it for a month just to play with it.

426
00:36:42,382 --> 00:36:47,382
But I've played, I've read some of the deep research results that it generates.

427
00:36:47,542 --> 00:37:00,562
And I mean, we're talking very, very detailed, extensive PhD level research papers that
generates like a hundred page documents, like, like not just a brief description, like

428
00:37:00,562 --> 00:37:11,342
it's generating massive, massive documents that are so exhaustively researched and, and it
can generate something that would have taken, um, you know, a PhD candidate.

429
00:37:11,938 --> 00:37:17,521
a year right, it can do that in 15 minutes and it's going to be better.

430
00:37:18,041 --> 00:37:19,602
So I, you know what I mean?

431
00:37:19,602 --> 00:37:26,366
I think it's going to, it's going to shift the way we consume knowledge, I think.

432
00:37:26,366 --> 00:37:36,451
And there's a part of me that's trying to remain really hopeful and think that this is
going to push humans to be better at what we do.

433
00:37:36,451 --> 00:37:41,974
It's going to ultimately give us more accurate information.

434
00:37:42,478 --> 00:37:49,458
versus, you know, humans right now, we don't have guardrails the way you know, an LLM
does.

435
00:37:49,458 --> 00:37:53,658
So you know, we can publish, say anything we want, like look at the state of the world
right now.

436
00:37:53,658 --> 00:37:56,998
You know, I mean, will it will it rein in misinformation?

437
00:37:56,998 --> 00:37:58,214
Will it will it

438
00:37:59,662 --> 00:38:03,062
Yeah, like to play devil's advocate, right?

439
00:38:03,062 --> 00:38:08,042
There's always been like those content farm websites that push out like dribble anyway.

440
00:38:08,362 --> 00:38:14,942
like, obviously, yeah, like, that was a popular one for sure.

441
00:38:15,142 --> 00:38:20,802
But like, yeah, like, it's like the great power, great responsibility.

442
00:38:20,802 --> 00:38:22,842
think sure like you could use this.

443
00:38:22,842 --> 00:38:28,998
And you know, when it comes to like Google, obviously, they've got both hands in

444
00:38:29,090 --> 00:38:40,217
both jars, guess, of like, we're doing AI research, but we also get funds from ads on
keyword searches.

445
00:38:40,737 --> 00:38:43,679
And it's like, which one do you prioritize?

446
00:38:43,679 --> 00:38:48,662
like, like for, one question that.

447
00:38:48,950 --> 00:38:56,110
somebody made the analogy I saw the other day of that exact thing Google, Google funding
AI research and in.

448
00:38:56,430 --> 00:39:03,250
mean, if you were to if you were to bet money, I would I would put all my money on Google
because they've got the deepest pockets by far if anybody in this game.

449
00:39:03,950 --> 00:39:14,090
But somebody made the analogy the day that like Google funding AI research is the
equivalent of like pharmaceutical companies funding cancer research, you know, right,

450
00:39:14,090 --> 00:39:16,664
there's a significant conflict of interest there.

451
00:39:16,664 --> 00:39:19,992
that shouldn't be ignored in google's case anyway

452
00:39:20,218 --> 00:39:23,899
But it also kind of handicaps them as well, right?

453
00:39:25,880 --> 00:39:35,452
If you are one of the leaders in AI generating content, and the new Google models are
phenomenal as far as the context that you could put into it.

454
00:39:35,452 --> 00:39:44,415
It's like vastly, you can load a million words into, well, I don't know if there's a
million, but you can load a ton of words.

455
00:39:44,415 --> 00:39:49,838
You could load a whole book into some of those new Google models and ask it to summarize
or...

456
00:39:49,838 --> 00:39:52,898
you write a blog post outlining, et cetera.

457
00:39:53,778 --> 00:40:05,498
But if their models are some of the lead-ering generative models, you've got to account
for AI-generated content in search results, right?

458
00:40:05,498 --> 00:40:08,012
How do you square the two?

459
00:40:08,012 --> 00:40:10,203
It feels like a snake eating its own tail, you know?

460
00:40:10,203 --> 00:40:13,303
It's definitely weird.

461
00:40:13,303 --> 00:40:21,216
And that makes me wonder, how much of our own data is Google using?

462
00:40:21,216 --> 00:40:24,126
Think about how big, how much data Google has, right?

463
00:40:24,267 --> 00:40:34,449
Between Gmail and Google Docs and Google Search, every keystroke that's ever been entered
into Google, they own.

464
00:40:35,022 --> 00:40:36,910
And they can use that to train.

465
00:40:36,972 --> 00:40:42,515
their AI model that chat GPT can't and Claude can't, you whether they are or not, we'll
probably never know.

466
00:40:42,515 --> 00:40:51,170
think they claim they're not, imagine, you know, the additional level of information that
they have access to by that.

467
00:40:51,271 --> 00:40:53,912
mean, that's, that's almost a scary thought when you think about it.

468
00:40:53,912 --> 00:41:01,897
Yeah, yeah, but I mean, it raises a good point that it may be back to that precipice I
just mentioned, like, like maybe the bigger precipices.

469
00:41:03,770 --> 00:41:05,752
who's going to own this technology, right?

470
00:41:05,752 --> 00:41:17,861
Like, is it it is is it a race to eventually be one single unified AI to rule them all and
there's no longer GPT and chat clad clod and is there just gonna be one eventually?

471
00:41:17,902 --> 00:41:22,345
Or will there be multiple like there is now will be more, but who's going to own them?

472
00:41:22,345 --> 00:41:27,389
And who's going to say what the guardrails are as far as what kind of information they
disseminate?

473
00:41:27,389 --> 00:41:33,374
And is this technology that belongs in

474
00:41:33,528 --> 00:41:42,946
private hands are in the private sector, or is it technology that is so powerful that it
needs to remain open source and free and available to everybody?

475
00:41:44,227 --> 00:41:48,391
Almost like the internet, you know, like, nobody, nobody owns the internet.

476
00:41:48,932 --> 00:41:50,353
Because nobody saw it coming.

477
00:41:50,353 --> 00:41:58,980
But I feel like if if there was an opportunity for somebody to buy the internet, you know,
early on, you bet your ass it would have happened, right?

478
00:41:58,980 --> 00:42:00,462
Like, of course.

479
00:42:00,462 --> 00:42:01,262
So

480
00:42:01,710 --> 00:42:08,330
the hell I mean, Elon Musk has tried to buy open AI last week for what $98 billion and Sam

481
00:42:09,304 --> 00:42:12,959
trying to raise what like five hundred billion dollars is what Sam Altman

482
00:42:14,054 --> 00:42:26,259
Yeah, they're at like 200 billion now for their their whatever star Starship project where
they're building a new AI infrastructure But yeah, you know in rumors are that Elon tried

483
00:42:26,259 --> 00:42:35,033
to buy open AI To force them to force their board of directors into keeping it Open source
versus go go in private.

484
00:42:35,033 --> 00:42:36,783
Yeah, which I don't know.

485
00:42:36,784 --> 00:42:40,965
Maybe that's a smart move on his part I'm not sure yet, but I feel like

486
00:42:42,954 --> 00:42:50,028
The billionaire class is probably hustling right now to figure out who can who can own AI
control.

487
00:42:50,393 --> 00:42:53,793
Yeah, and that's the race for me.

488
00:42:53,793 --> 00:43:06,434
Like for us, the way that I'm looking at this is like, I don't even know that we're
climbing up a mountain or going down a mountain because a lot of my tasks are getting lot

489
00:43:06,434 --> 00:43:08,094
easier with these things.

490
00:43:08,814 --> 00:43:14,368
And I can do more of, like the way I'm looking at it is like,

491
00:43:14,368 --> 00:43:18,249
let me get the noise or the busy work out of the way.

492
00:43:18,249 --> 00:43:31,495
If these tools can help me with a lot of that so that I can get back to what I'm good at,
which is at the core, I think one of my skillsets is basically identifying a problem and

493
00:43:31,495 --> 00:43:42,390
then just being tenacious about solving it, whatever that is, whether it's writing a bit
of code to solve a problem on a website or trying to figure out how to price.

494
00:43:42,634 --> 00:43:46,157
set of channel letters with a spreadsheet or in ShopVox or whatever.

495
00:43:48,379 --> 00:43:54,744
These things aren't totally autonomous to that point where you could just say, here's the
problem, go solve it.

496
00:43:54,864 --> 00:43:56,346
on that respect, we're okay.

497
00:43:56,346 --> 00:44:06,572
it feels like we're, I don't know, like the best analogy for it of like, I'm coming down
the mountain, like through some fog or something, and I can't see exactly where.

498
00:44:06,572 --> 00:44:07,484
going.

499
00:44:09,902 --> 00:44:21,166
Right, feels like things are getting easier and you know, also like, you know, there could
be like a desert between me and where we need to be, you know?

500
00:44:21,166 --> 00:44:34,437
Yeah, there probably is I mean, there's so much I know I when ultimately, when when the
people that created these technologies openly say like, we don't really know exactly how

501
00:44:34,437 --> 00:44:35,637
it works.

502
00:44:36,338 --> 00:44:46,436
I think it's not a red flag, but I think it's something that should give us all pause and
and and be cautiously optimistic as we as we you know, hike down that mountain through the

503
00:44:46,436 --> 00:44:49,148
fog, because we don't know what the next step is going to be.

504
00:44:49,149 --> 00:44:50,988
And, you know, again, not to be

505
00:44:50,988 --> 00:44:55,279
I'm trying not to be super political about this, but politics are becoming part of it.

506
00:44:55,439 --> 00:44:57,630
And there, you know, we can see what's going on in Washington right now.

507
00:44:57,630 --> 00:45:01,101
And people, people are jockeying for power around AI.

508
00:45:01,101 --> 00:45:11,664
mean, if you look at Zuckerberg and Sam Altman and Elon Musk and Peter Thiel, mean,
they're all, they all have their hands very deep in, in political world now.

509
00:45:11,664 --> 00:45:18,906
And that's a hundred percent driven by the potential to make profits off of this AI
technology.

510
00:45:18,978 --> 00:45:19,598
So

511
00:45:19,598 --> 00:45:23,338
It's definitely something that nobody should ignore for sure.

512
00:45:23,458 --> 00:45:24,458
But yeah, I don't know.

513
00:45:24,458 --> 00:45:25,658
mean, I think.

514
00:45:25,994 --> 00:45:27,675
It's hard to like square the two, right?

515
00:45:27,675 --> 00:45:33,118
Like at a high level is like, hey, I get like super concerned with it.

516
00:45:33,118 --> 00:45:36,514
But like on a day to day level, it's like, I've got three kids.

517
00:45:36,514 --> 00:45:38,601
I've got a full time job.

518
00:45:38,601 --> 00:45:39,852
Like we do the podcast.

519
00:45:39,852 --> 00:45:41,803
We do, like I do some consulting work.

520
00:45:41,803 --> 00:45:43,204
Like we've got it.

521
00:45:43,204 --> 00:45:46,685
You've got a couple of different revenue streams that you're managing.

522
00:45:46,766 --> 00:45:54,830
Like, you know, at some point you're just like, I'm not, I'm going to use the tool like
that's in front of me to get the job done and like stop thinking about

523
00:45:54,830 --> 00:45:56,170
Yeah, dude, it's a godsend.

524
00:45:56,170 --> 00:46:06,590
It really, it really is just for like administrative stuff, day to day stuff, writing
tasks, having something to bounce ideas off of, like, there's, there's a lot of like

525
00:46:06,590 --> 00:46:10,290
staunch anti AI holdouts out there, like, I'll never use this, it's going to take my job.

526
00:46:10,290 --> 00:46:12,770
And I refuse to support something that's, you know, killing industries.

527
00:46:12,770 --> 00:46:16,050
And I understand that sentiment, but it's not realistic.

528
00:46:16,050 --> 00:46:21,070
mean, you know, people said that about steam engines, or, you know, the internal
combustion engine about

529
00:46:21,070 --> 00:46:24,652
you know, it's going to take the steam engine locomotive engineers job and whatever.

530
00:46:24,652 --> 00:46:28,755
Every time there's new technology, it changes things.

531
00:46:28,755 --> 00:46:31,036
And some people might lose their jobs temporarily.

532
00:46:31,036 --> 00:46:32,283
Some people might have to learn new skills.

533
00:46:32,283 --> 00:46:35,319
I mean, it's just kind of how evolution in the world works.

534
00:46:35,359 --> 00:46:38,531
To not embrace it in some way, I feel like is extremely foolish.

535
00:46:38,531 --> 00:46:46,485
Because if you don't, the people that are embracing it are going to leave you in the dust
really quickly, like real quick.

536
00:46:47,278 --> 00:46:55,358
to just make it Yeah, and you're just making your life harder by not using it like it's
it's here to stay people who don't believe it's here to stay and they think it's a fad or

537
00:46:55,358 --> 00:46:56,098
something.

538
00:46:56,098 --> 00:46:59,218
You know, how'd that work out for the people that said the internet was a fad?

539
00:46:59,218 --> 00:47:01,058
And you know, this isn't going anywhere.

540
00:47:01,058 --> 00:47:08,198
So to to actively avoid using it and not embracing it is just kind of kind of shoot
yourself in the foot.

541
00:47:08,198 --> 00:47:10,078
I mean, it's it's not a wise move to make.

542
00:47:10,078 --> 00:47:14,578
I don't think at this point, I mean, just have to, you know, be responsible about how you
use it.

543
00:47:14,578 --> 00:47:17,038
But it will make your life so much better.

544
00:47:17,256 --> 00:47:17,816
Really does.

545
00:47:17,816 --> 00:47:25,290
guess that's the crazy thing about it is it you know, one of the things that I found
completely like unrelated to business with AI.

546
00:47:25,531 --> 00:47:27,842
But I use chat a lot.

547
00:47:27,842 --> 00:47:29,313
just call Chad for some reason.

548
00:47:29,313 --> 00:47:32,730
I use Claude a lot like a personal advisor, almost like a therapist.

549
00:47:32,730 --> 00:47:40,240
I mean, you know, I'm I'm I'm big on like the whole mental health thing and you know,
taking care of your somewhere.

550
00:47:40,240 --> 00:47:42,101
Yeah, I'm excited for that one.

551
00:47:42,101 --> 00:47:43,921
I'll wear my bunny suit for that one.

552
00:47:45,518 --> 00:47:56,295
You know, it's it's great as like a therapist if you're struggling with something if
you're having a bad day if you're I don't know you're dealing with Trying to change habits

553
00:47:56,295 --> 00:48:03,979
around something that you do or you know, like I'm trying to go to bed earlier I'm tired
of being up till three in the morning every night What are some actionable things that I

554
00:48:03,979 --> 00:48:06,441
can do to get to bed earlier?

555
00:48:06,441 --> 00:48:08,322
You know if you prompt it, right?

556
00:48:08,322 --> 00:48:11,724
It's it's an incredible

557
00:48:12,163 --> 00:48:14,655
I don't know whether term to use other than like therapists like that.

558
00:48:14,655 --> 00:48:18,750
I therapists kind of makes it sound like you're pouring your soul out to it and

559
00:48:18,750 --> 00:48:21,192
Yeah, no, I get it though.

560
00:48:21,192 --> 00:48:25,675
For me on the, like just on developing websites, right?

561
00:48:25,675 --> 00:48:32,960
Or like, you've got a couple projects in the works here, obviously at my full-time job,
but like this, more signage thing that I've been working on.

562
00:48:32,960 --> 00:48:36,742
Like I'm not like a senior level architect, right?

563
00:48:37,043 --> 00:48:47,730
Like I know enough to develop a solution, but like some of those questions about like,
hey, what's the best language to use for...

564
00:48:47,852 --> 00:48:58,309
the back end of this or what's a mental model or a pattern to use for how to set up
something like personalization on a website.

565
00:48:59,290 --> 00:49:09,888
It's nice to have somebody that can instantly give you an answer, whether it's, we could
debate whether it's a great answer or a good answer or a shitty answer, but closing that

566
00:49:09,888 --> 00:49:16,312
feedback loop of like, hey, I have this question, I don't have the knowledge on it, let me
talk to somebody who.

567
00:49:16,312 --> 00:49:18,249
who has more knowledge than me on it.

568
00:49:18,926 --> 00:49:23,606
Yeah, it's like having an expert available 24 seven, you know, in most topics.

569
00:49:24,006 --> 00:49:31,926
Or, if not an expert, pretty damn near an expert close enough to an expert that you can
you can get very far along on what you're trying to accomplish.

570
00:49:31,926 --> 00:49:34,026
I mean, how we use it.

571
00:49:34,026 --> 00:49:38,086
Like, two days ago, my wife was like, I don't know what to make for dinner.

572
00:49:38,086 --> 00:49:40,746
All I have is like, some chicken breast.

573
00:49:40,746 --> 00:49:42,186
Like, what do I do?

574
00:49:42,186 --> 00:49:44,606
I'm like, she's like, I don't start pulling out recipe books.

575
00:49:44,606 --> 00:49:46,086
I'm like, I don't know.

576
00:49:46,086 --> 00:49:47,126
I'll ask chat GPT.

577
00:49:47,126 --> 00:49:48,792
And it I'm like, give me

578
00:49:48,792 --> 00:49:57,428
Give me 25 recipes for chicken breast that are outside the outside the box, not not super
perfunctory and every day.

579
00:49:57,428 --> 00:49:59,790
I'm happy to run to the store if I need any ingredients.

580
00:49:59,870 --> 00:50:05,534
The shit that it spit out like like crazy recipes.

581
00:50:05,534 --> 00:50:07,976
You know, I mean, it's just it's just stuff like that.

582
00:50:07,976 --> 00:50:16,402
you know, that something so simple and small instead of pulling out 20 recipe books and
spending the next two hours pouring over that.

583
00:50:16,770 --> 00:50:25,025
you had fifty recipes to choose from in literally forty five seconds is that going to
destroy the publishing world

584
00:50:27,579 --> 00:50:30,120
I don't know.

585
00:50:30,120 --> 00:50:34,663
That stuff was helpful though, like outsourcing some of the decision making.

586
00:50:35,904 --> 00:50:38,425
You got to be careful not to outsource too much of it.

587
00:50:39,584 --> 00:50:56,179
you like like why like like what if we if we lighten our I mean think about you know
Albert Einstein working you know patent office so that he you know occupied his brain with

588
00:50:56,179 --> 00:51:06,601
just boring mundane tasks throughout the day so you know in the background his brain could
you know synthesize information and work on problems that he was working on and they say

589
00:51:06,601 --> 00:51:09,062
that was part of the key his brilliance was that he

590
00:51:09,422 --> 00:51:14,446
you know, he immersed himself in something very boring and work a day.

591
00:51:14,706 --> 00:51:27,447
So would that benefit humans to like offload as much of our mundane workload, like
cognitive processing, decision making basic stuff like that?

592
00:51:27,447 --> 00:51:28,678
What do eat for dinner tonight?

593
00:51:28,678 --> 00:51:30,790
Just let chat GPT tell us what to do.

594
00:51:30,790 --> 00:51:38,986
Would that benefit humanity so then we can think about like creative things and like
solving humanity's bigger problems?

595
00:51:39,278 --> 00:51:41,758
Or does that just usher in the era of terminators?

596
00:51:44,398 --> 00:51:46,258
we let it think for us completely.

597
00:51:47,641 --> 00:51:50,362
I mean, I don't know.

598
00:51:50,622 --> 00:52:01,102
I think it would be fun to do an episode where it's just like chat GPT roulette, where you
just do something like this, where you just like, I want you to open up chat GPT and

599
00:52:01,102 --> 00:52:05,202
you're going to like, we're just going to pick a message, right?

600
00:52:05,562 --> 00:52:15,298
Just for context, I was working on a tool for my job, my full-time job, and I wanted to
have an ASCII art

601
00:52:15,298 --> 00:52:18,793
bunny as part of like a command line utility.

602
00:52:18,894 --> 00:52:22,166
I just have to say, your job is fucking ridiculous.

603
00:52:22,812 --> 00:52:24,656
You get paid to do this.

604
00:52:24,870 --> 00:52:27,351
Well, I mean, this is just like a small portion, right?

605
00:52:27,351 --> 00:52:33,992
And it's like, well, like I wanted to have an animated bunny that like blinked and set a
message when you ran this thing.

606
00:52:36,333 --> 00:52:46,796
yeah, like blending all the different experiences of like design and UX, but also like
human interaction or user experience, like all of that, like, you know, the way it

607
00:52:46,796 --> 00:52:52,318
manifests itself sometimes is like, hey, create some ASCII art bunnies that I can use,
right?

608
00:52:52,318 --> 00:52:54,388
But like, this is the type of shit that

609
00:52:55,842 --> 00:52:59,343
Like it's very quick to, okay, now I got this.

610
00:52:59,343 --> 00:53:02,084
I can put this in there, right?

611
00:53:02,304 --> 00:53:05,105
I've got three or four different varieties.

612
00:53:05,225 --> 00:53:14,307
You know, some of these are pretty wild as far as what they come up with, but you know,
this was something that I had to solve and this was like two minutes to solve it versus

613
00:53:14,307 --> 00:53:20,489
like Googling or me like noodling in the text editor of like trying to craft these
characters.

614
00:53:20,809 --> 00:53:23,590
So that would be a fun one to do, but.

615
00:53:23,904 --> 00:53:25,955
And that's honestly like, that's a really great use case for it.

616
00:53:25,955 --> 00:53:31,769
That it's just a mundane task that doesn't really necessarily involve a ton of skill.

617
00:53:31,769 --> 00:53:34,441
It's just time consuming to find that crap.

618
00:53:34,441 --> 00:53:36,262
It's out there somewhere, but

619
00:53:37,664 --> 00:53:40,005
All right, let's bring it back to the tools.

620
00:53:40,005 --> 00:53:42,797
There's a couple that I wanted to cover.

621
00:53:43,338 --> 00:53:45,579
I know you mentioned DeepSeek.

622
00:53:45,579 --> 00:53:49,161
That's one you should probably experience on your own.

623
00:53:49,281 --> 00:53:51,222
Maybe we'll just do a...

624
00:53:51,454 --> 00:53:55,705
I got this thing up, and we'll just see if I've got...

625
00:53:55,705 --> 00:54:01,028
Let me just pull up that last one that we did, right?

626
00:54:01,028 --> 00:54:02,949
If you've not used DeepSeek...

627
00:54:05,154 --> 00:54:10,407
The hosted version does send your data to China, so you might want to be cognizant of
that.

628
00:54:10,407 --> 00:54:12,678
This is one of the...

629
00:54:14,299 --> 00:54:24,335
And don't put anything that's going to jeopardize national security in here, but for this
type of stuff, It's very interesting to watch it kind of think through this, right?

630
00:54:24,335 --> 00:54:25,465
So I'm toggling this.

631
00:54:25,465 --> 00:54:27,006
I think that's how you do it.

632
00:54:27,206 --> 00:54:30,488
I'm asking it to write an outline.

633
00:54:30,888 --> 00:54:34,542
And now it gives me like this stream of consciousness of like...

634
00:54:34,542 --> 00:54:35,803
how it's thinking.

635
00:54:35,823 --> 00:54:41,767
And it's very much like a stream of consciousness.

636
00:54:41,928 --> 00:54:44,941
Okay, so the user wants an outline for a blog post about five tips.

637
00:54:44,941 --> 00:54:47,132
Let me start by breaking down what they're asking for.

638
00:54:47,132 --> 00:54:51,376
Maybe I should consider the target audience, main challenge, blah, blah.

639
00:54:51,376 --> 00:54:54,348
So like it goes through this whole exercise.

640
00:54:54,370 --> 00:54:57,261
wait, scroll, see what says wait, the user might want like that.

641
00:54:57,261 --> 00:55:01,932
What amazes me about this is it's not linear, right?

642
00:55:01,932 --> 00:55:06,474
Like you would think that, okay, it's a computer, it's a robot, like it's just going to go
in very linear order.

643
00:55:06,474 --> 00:55:07,454
But it doesn't.

644
00:55:07,454 --> 00:55:10,825
You can see it thinking through things and saying like, wait, that doesn't make sense.

645
00:55:10,825 --> 00:55:16,177
Or wait, this might be a something that potentially could affect the outcome of this.

646
00:55:16,177 --> 00:55:18,037
So I should maybe look at it.

647
00:55:18,037 --> 00:55:20,538
You can see it step back.

648
00:55:20,640 --> 00:55:23,671
and consider itself or consider what it's doing as is doing it.

649
00:55:23,671 --> 00:55:27,974
And that to me is what the absolute mind boggling part about it is that I did not expect.

650
00:55:28,238 --> 00:55:32,398
Yeah, wait, the user might want the outline to be SEO friendly itself.

651
00:55:32,838 --> 00:55:40,078
like here it comes with, you know, like the listicle style outline.

652
00:55:40,078 --> 00:55:45,038
Here's the five tips to boost website SEO juice, plus a bonus, plus a conclusion.

653
00:55:45,298 --> 00:55:46,018
Yeah.

654
00:55:46,058 --> 00:55:48,238
So it's super interesting.

655
00:55:48,278 --> 00:55:56,966
Um, you know, I think one of the, one of the other interesting ones was a, like, I thought
this was super interesting where if you give it,

656
00:55:58,362 --> 00:55:59,881
like a misspelling, right?

657
00:55:59,881 --> 00:56:03,093
What is the capital of West Virginia?

658
00:56:03,176 --> 00:56:04,930
I'm sorry.

659
00:56:06,218 --> 00:56:08,219
So like it goes through this whole process.

660
00:56:08,219 --> 00:56:12,481
I noticed that Virigina, it's misspelled.

661
00:56:13,262 --> 00:56:14,763
It should be Virginia.

662
00:56:14,763 --> 00:56:16,184
West Virginia is the capital.

663
00:56:16,184 --> 00:56:17,824
Now I know the capital.

664
00:56:18,665 --> 00:56:28,330
So like it goes through this whole like interesting process to like, at one point even
talking about the Civil War, right?

665
00:56:28,390 --> 00:56:35,774
Like to get there and then like it does get there eventually, but it's just wild, man.

666
00:56:35,820 --> 00:56:37,600
Yeah, yeah, it is it is really.

667
00:56:37,600 --> 00:56:51,864
It's really I've seen a few examples to where people have put in like math problems where
depending on the your interpretation of of DOS or you know, which what do you perform

668
00:56:51,864 --> 00:56:57,486
first and multiplication parentheses or the you know, and there's two different schools of
thought on how to answer that question.

669
00:56:57,486 --> 00:57:05,568
Like if you give it one of those types of questions, watching it think through math
problems or more technical things like that is really wild to you because it like

670
00:57:05,714 --> 00:57:09,046
it does some strange consideration.

671
00:57:09,046 --> 00:57:18,963
It's really, this was, think this seeing how, how deep see things like I think I said this
earlier, like it was, it was a major aha moment for me when I saw that thinking process

672
00:57:18,963 --> 00:57:23,606
and realized that it's, it's not an algorithm behind the scenes like Google.

673
00:57:23,606 --> 00:57:33,533
That's, know, I the more I understand about how it functions, the more I understand about
the physical

674
00:57:35,542 --> 00:57:53,177
the physical server farms and and and the neural network and you know the way GPUs process
these requests and The more I'm convinced that we've essentially figured out how to make a

675
00:57:53,177 --> 00:58:04,326
synthetic human brain and it's just kind of still in the infancy learning phases because
it When you see the way something like deep seek thinks through problems like that

676
00:58:04,794 --> 00:58:17,823
and you look at the way it's taking individual words or parts of words and parsing them
and turning them into tokens and then the way it processes information and thinks is at

677
00:58:17,964 --> 00:58:20,966
its root exactly the same way we think.

678
00:58:21,635 --> 00:58:24,481
Like a complicated mess that's hard to unpack,

679
00:58:24,864 --> 00:58:25,896
Right, yeah.

680
00:58:25,896 --> 00:58:31,910
it's, I'm more and more convinced that this literally is.

681
00:58:33,772 --> 00:58:37,625
brain just in a different form the brain that's in our head.

682
00:58:37,625 --> 00:58:42,009
I'm convinced though that the structure functions exactly the same way.

683
00:58:42,009 --> 00:58:52,527
The the the way it thinks and arrives at conclusions is exactly the same way that our
brain thinks as far as sending neurons around and nobody really knows how brain thinks

684
00:58:52,527 --> 00:58:53,297
either.

685
00:58:53,919 --> 00:58:59,453
I genuinely believe that this is it's an actual brain.

686
00:58:59,453 --> 00:59:03,646
You know, like, I don't at the end of the day, like,

687
00:59:03,714 --> 00:59:08,647
what matters, what the brain is made of or what the brain does, right?

688
00:59:08,647 --> 00:59:14,234
And if you look at what it does, there's very little difference between what it does and
what our brains do.

689
00:59:14,234 --> 00:59:23,068
I mean, the biggest difference is, right, it's just not in a physical, biological body
that it has, you know, this brain body connection like we do.

690
00:59:23,068 --> 00:59:31,333
Therefore it has no sense of self or self awareness, obviously, but I think it thinks, I
think it actually thinks.

691
00:59:33,963 --> 00:59:34,566
I really do.

692
00:59:34,566 --> 00:59:36,172
think it thinks I think it.

693
00:59:36,172 --> 00:59:37,238
That's the title of this episode.

694
00:59:37,238 --> 00:59:37,942
It's alive.

695
00:59:37,942 --> 00:59:39,297
It's alive.

696
00:59:41,243 --> 00:59:47,737
But but you know that brings up then the really creepy question What what does it mean to
be alive?

697
00:59:47,737 --> 00:59:49,347
What does it mean to be?

698
00:59:49,688 --> 00:59:51,909
What what does thinking mean what what?

699
00:59:52,190 --> 01:00:03,346
You know it does that make it Sentient if it's thinking Sentient does that mean does that
have to mean that it's in a physical body and aware of that self or does it does just mean

700
01:00:03,346 --> 01:00:04,156
that it?

701
01:00:04,437 --> 01:00:07,198
Processes the information and stimuli around it

702
01:00:09,445 --> 01:00:09,895
That's it.

703
01:00:09,895 --> 01:00:12,970
That feels like another fucking episode.

704
01:00:16,898 --> 01:00:19,884
I love these, man.

705
01:00:19,884 --> 01:00:20,882
It's good to do this.

706
01:00:20,882 --> 01:00:21,739
All right.

707
01:00:21,739 --> 01:00:25,038
we even talked about science at the science industry at all.

708
01:00:25,038 --> 01:00:27,198
I'm not sure that we have.

709
01:00:27,358 --> 01:00:27,898
Let's see.

710
01:00:27,898 --> 01:00:28,118
All right.

711
01:00:28,118 --> 01:00:30,738
I'm going to run through some of these.

712
01:00:31,918 --> 01:00:36,738
If you're consuming the audio version of this, I would highly recommend you check out
YouTube.

713
01:00:37,098 --> 01:00:40,358
I know Mike mentioned the image generation side of it.

714
01:00:40,358 --> 01:00:46,158
Still kind of like for what we do in signage, it's not super helpful.

715
01:00:46,158 --> 01:00:48,238
Maybe for ideation.

716
01:00:49,300 --> 01:00:53,123
You know, we should we should clarify it depends on what you're doing with it, right?

717
01:00:53,123 --> 01:01:01,730
Like if you're a lot of digital printing and wrap design, or you're like doing a wall
mural, and you need more of like a, you know, I've definitely used it to generate some

718
01:01:01,730 --> 01:01:07,525
absolutely phenomenal photograph type images and paintings and things like that, they're
using signs.

719
01:01:07,565 --> 01:01:08,786
It is phenomenal at that.

720
01:01:08,786 --> 01:01:11,589
Like, you know, it just like it's coming for copywriters.

721
01:01:11,589 --> 01:01:15,051
It's also coming for artists, photographers, photographers.

722
01:01:15,051 --> 01:01:16,333
Yeah, absolutely.

723
01:01:16,333 --> 01:01:18,494
But again, like as far as like,

724
01:01:18,850 --> 01:01:23,175
more like vector type things and technical things like that.

725
01:01:23,957 --> 01:01:29,353
It's nowhere near where it would need to be to be useful in that realm for for sign
designers.

726
01:01:29,353 --> 01:01:31,025
So just want to throw that out there.

727
01:01:31,025 --> 01:01:32,848
I didn't want to sound like I was like, completely trashing its output.

728
01:01:32,848 --> 01:01:34,749
It's just not not perfect.

729
01:01:34,772 --> 01:01:36,904
And this is a good example.

730
01:01:36,904 --> 01:01:40,566
For us, these are blog posts on the Directive's website.

731
01:01:40,566 --> 01:01:43,588
These are all AI generated.

732
01:01:43,848 --> 01:01:47,541
And the logo is obviously a hair, it's not a bunny.

733
01:01:47,541 --> 01:01:50,052
But we have this bunny theme going on.

734
01:01:50,052 --> 01:01:52,934
And it makes good thumbnail images for this.

735
01:01:52,934 --> 01:01:56,019
And you can easily create a theme off of this.

736
01:01:56,019 --> 01:01:58,858
I think these are all generated using mid-journey.

737
01:01:58,858 --> 01:02:04,782
But it's great for stuff like this, like supporting elements for either blog posts,
websites.

738
01:02:05,106 --> 01:02:07,528
If you're not using Mid Journey, you could check it out.

739
01:02:10,191 --> 01:02:15,214
can give you more details on that, or we can add that in the show notes.

740
01:02:15,475 --> 01:02:26,804
One of the other tools that I've been using, and you will have to sign up for a GitHub
account to do this, the tool is called Replicate.

741
01:02:26,985 --> 01:02:31,948
And it looks very, it's a very developer-oriented tool at first, once you get into it.

742
01:02:31,989 --> 01:02:33,550
But it does have like,

743
01:02:33,550 --> 01:02:46,710
Playgrounds where you can go in and like test out like some of these models now like these
are like open source models that you know if you're super into a Like AI you can download

744
01:02:46,710 --> 01:02:56,470
these and you know you can dive down that rabbit hole and learn how to set all this up
locally For me, I just like playing around with these and in like their playground or you

745
01:02:56,470 --> 01:03:02,110
know checking out one of the nice things about replicate and

746
01:03:02,362 --> 01:03:07,727
I may have showed some of this in the last one where I can go in and train my own model.

747
01:03:11,938 --> 01:03:18,388
And this one is the flux model where basically I can enter something in here.

748
01:03:19,690 --> 01:03:22,706
What's a good sign description?

749
01:03:22,706 --> 01:03:26,178
Create a...

750
01:03:26,178 --> 01:03:29,301
modern sign a backlit monument sign with a brick base.

751
01:03:29,804 --> 01:03:38,326
Monuments on it with a brick bass for Mike's Barbecue Brick Bass.

752
01:03:39,328 --> 01:03:42,873
And this will, we'll see what happens, right?

753
01:03:42,873 --> 01:03:46,538
For four cents an image, we'll see what comes out of this.

754
01:03:48,795 --> 01:03:50,777
And, you know, okay.

755
01:03:50,777 --> 01:04:02,311
I don't know where fasty.com is coming from here, but you can see these models are getting
really good with, I'm almost scared to put that into the search bar.

756
01:04:02,852 --> 01:04:04,774
like, for those who...

757
01:04:06,714 --> 01:04:15,544
Like if you're listening to this, it's basically a monument sign with what looks like some
channel letters on it, some decorative elements and a brick base.

758
01:04:15,544 --> 01:04:24,302
And it kind of looks like it's shot with a macro lens or something that makes it look like
it's a Lego type of scenario.

759
01:04:24,302 --> 01:04:28,002
Yeah, you know, like, in all honesty, like that image is, is beautiful.

760
01:04:28,002 --> 01:04:30,502
Like, it's a really, really, it's a decent image.

761
01:04:30,502 --> 01:04:34,042
And in the design of that sign isn't terrible.

762
01:04:34,042 --> 01:04:36,002
I'd probably do things a little bit differently.

763
01:04:36,002 --> 01:04:42,662
But it, you know, so like, from an ideation standpoint, like, I'm just, have designers
block, and I'm not exactly sure what I should do.

764
01:04:42,662 --> 01:04:46,582
Like, it, it's neat, it'll throw out ideas at you that you can kind of run with a little
bit.

765
01:04:46,582 --> 01:04:48,038
And I use it for that a lot.

766
01:04:48,750 --> 01:04:52,590
Yeah, you know, it's a magic of like prompting.

767
01:04:52,590 --> 01:04:57,530
If you go in and you actually train one of your models, like you give it reference images.

768
01:04:57,530 --> 01:05:06,110
So like you could train this on your own work and potentially use it to generate similar
concepts or, you know, there's probably some other more devious ways to use it.

769
01:05:06,110 --> 01:05:13,190
But it is something that I use quite a bit to generate like supporting imagery and it's
good for that.

770
01:05:13,294 --> 01:05:14,694
You know, I've never played around with this one.

771
01:05:14,694 --> 01:05:16,334
I know you're always raving about it.

772
01:05:16,334 --> 01:05:20,574
I think I'm going to try subscribing to this and see if I can train it on my design work.

773
01:05:20,574 --> 01:05:26,294
Um, you know, I've got thousands and thousands of images I could feed into this thing as,
as training material.

774
01:05:26,294 --> 01:05:31,334
I'm curious if I was to do that, how close it could emulate my design style.

775
01:05:31,334 --> 01:05:31,774
Okay.

776
01:05:31,774 --> 01:05:34,662
For part three of this discussion, I'll report back on.

777
01:05:36,054 --> 01:05:42,036
One of the other models I've been using on here is called Recraft V3 SVG.

778
01:05:42,216 --> 01:05:47,377
And basically, this one is very interesting because it will give you a high quality vector
output.

779
01:05:47,417 --> 01:05:49,288
It is much harder to control.

780
01:05:49,288 --> 01:06:02,661
again, like with most of the recommendations we've already made, you need to, like if
you're to try to use this, shrink the scope and like go like, hey, I need an element,

781
01:06:02,661 --> 01:06:04,866
whether that's, you know, whatever it is.

782
01:06:04,866 --> 01:06:09,572
versus give me a full logo because it's not quite there yet.

783
01:06:09,572 --> 01:06:14,137
But the nice thing is, I think I shared a few of these with you.

784
01:06:14,238 --> 01:06:24,470
The images that it generates are SVG and the lines are very clean compared to what I've
seen inside Adobe Illustrator when you generate vectors.

785
01:06:24,588 --> 01:06:30,722
Yeah, you sent a few of these to me and I actually was like, blew my mind how good the
vectors actually were.

786
01:06:30,722 --> 01:06:36,927
There, there were almost no weird stray points or odd funky jaggies or anything like that.

787
01:06:36,927 --> 01:06:39,028
Like you would get with an auto traced image.

788
01:06:39,108 --> 01:06:47,104
The ones that you sent me were every bit as clean as anything you would download from from
you like Adobe stock or I stock or something like they were, they were as perfect as it

789
01:06:47,104 --> 01:06:50,346
could get, which was really surprising to me.

790
01:06:50,346 --> 01:06:53,388
Like I didn't think it could do that, you know, with vectors.

791
01:06:54,318 --> 01:06:55,858
Yeah, we'll see.

792
01:06:56,158 --> 01:06:58,038
See what I can get out of this.

793
01:06:58,038 --> 01:06:59,558
Again, this is just off the cuff.

794
01:06:59,558 --> 01:07:05,918
I fully planned to prepare all of this, but maybe I'll put that in the next AI workshop
that we do.

795
01:07:06,058 --> 01:07:09,458
right, so this guy is kind of missing a...

796
01:07:09,458 --> 01:07:12,358
He's got like a turtle nose thing going on.

797
01:07:14,698 --> 01:07:17,858
But as far as what's generated here, right?

798
01:07:17,858 --> 01:07:21,178
This is pretty solid.

799
01:07:21,178 --> 01:07:23,978
mean, considering that it's SVG.

800
01:07:24,136 --> 01:07:27,848
and I could take this and quickly clean it up and edit it.

801
01:07:27,848 --> 01:07:29,322
It's amazing that you can...

802
01:07:29,496 --> 01:07:39,489
Yeah, it's amazing that that is almost usable like you could could cut that in vinyl right
out of that without any Modification without any cleanup at all like that's pretty it's

803
01:07:39,489 --> 01:07:44,585
pretty incredible The on-demand clip art basically like it's it's wild

804
01:07:44,882 --> 01:07:50,088
I'm not going to open Illustrator because then it will really go robotic, but just trust
me on this.

805
01:07:50,088 --> 01:07:53,952
This is an actual SVG file that is downloaded.

806
01:07:54,040 --> 01:07:55,135
can confirm.

807
01:07:57,228 --> 01:07:58,980
Insane.

808
01:07:58,980 --> 01:08:00,522
What are the other ones that I wanted to touch on?

809
01:08:00,522 --> 01:08:01,934
I don't want to get into Replet just yet.

810
01:08:01,934 --> 01:08:04,392
Notebook LM.

811
01:08:04,887 --> 01:08:05,963
this one's cool.

812
01:08:06,470 --> 01:08:08,911
This one is super interesting.

813
01:08:10,213 --> 01:08:14,366
One kind of use case I would harp on this is training new people.

814
01:08:14,366 --> 01:08:27,465
If you've got somebody new to the sign industry, notebook LM from Google, basically you
can add sources to it and it will basically create Mike and I wrapping on a specific topic

815
01:08:27,465 --> 01:08:31,167
for you for half an hour's worth of podcast.

816
01:08:31,167 --> 01:08:34,099
So training content.

817
01:08:34,573 --> 01:08:47,603
You know, I like that immersion style of training, especially for hiring somebody new in
as a CSR or maybe a sales rep that doesn't have deep industry experience with very little

818
01:08:47,603 --> 01:08:48,363
input.

819
01:08:48,363 --> 01:08:57,640
can go very far with something like this where like remix a podcast on channel letters or
something like that.

820
01:08:57,805 --> 01:09:06,603
You know, I was thinking about about this, as a supplement to a blog on a website or
something like, nobody reads blogs, right?

821
01:09:06,603 --> 01:09:16,222
Like, but I feel like if somebody that I, you know, I followed for whatever reason, had a,
interesting business or blog that I would want to read, I just don't want to sit there and

822
01:09:16,222 --> 01:09:16,793
actually read it.

823
01:09:16,793 --> 01:09:24,039
Like, I feel like you could, you could put that blog into notebook and create.

824
01:09:24,654 --> 01:09:27,654
embed embed, you know, that audio file on your blog as well.

825
01:09:27,654 --> 01:09:36,054
So would you rather listen to this blog and actually have a podcast episode where, you
know, they're discussing that blog post, not just reading it verbatim.

826
01:09:36,054 --> 01:09:38,574
I mean, I feel like that'd be really cool from a marketing standpoint.

827
01:09:38,574 --> 01:09:46,278
And people would be more likely to continually go back to your website to listen to the
latest blog post.

828
01:09:47,603 --> 01:09:53,018
I just generated this whole conversation based on your blog post from...

829
01:09:53,118 --> 01:09:53,973
I saw it somewhere.

830
01:09:53,973 --> 01:09:55,140
Where was it?

831
01:09:55,140 --> 01:09:55,801
2019?

832
01:09:55,801 --> 01:09:57,687
Managing a remote design team.

833
01:09:58,844 --> 01:10:00,369
I should update my blog.

834
01:10:03,099 --> 01:10:14,400
Yeah, so this will send me a notification and when this gets done, it'll be a full
conversation between two people, like discussing the content of this blog post in probably

835
01:10:14,400 --> 01:10:18,293
a lot more detail than what Mike has gone into on his blog post.

836
01:10:19,220 --> 01:10:25,858
And it'll sound just like you and me talking like well not like you me but like least you
would never know it wasn't a conversation between two people.

837
01:10:27,099 --> 01:10:34,494
That's the cliffhanger we'll leave them with at the end like is this actually Mike and
Brian doing the podcast or is this just our AI avatars?

838
01:10:34,494 --> 01:10:36,535
Are you able to train it on specific voices?

839
01:10:36,535 --> 01:10:38,578
haven't really dug that far into this other than just-

840
01:10:38,578 --> 01:10:50,154
So the the notebook LM I think you just kind of like like the voices that it uses it just
kind of gives you what you get you or you get what you get kind of thing There's another

841
01:10:50,154 --> 01:10:52,546
tool that I have used called.

842
01:10:52,546 --> 01:11:07,174
We'll just rattle off all these right here at the end 11 labs and basically like this one
is uncanny that Like they have voice cloning which used to be like super expensive and

843
01:11:07,174 --> 01:11:08,294
like crazy

844
01:11:08,332 --> 01:11:15,094
I can give this probably like a minute and a half of your voice, Mike, and it will come
out with something that's pretty close in the end.

845
01:11:21,566 --> 01:11:22,449
I that.

846
01:11:25,006 --> 01:11:29,215
I'm gonna have to stop sharing for a moment and catch up.

847
01:11:29,932 --> 01:11:33,621
Yeah, you're a robot again.

848
01:11:33,621 --> 01:11:34,584
again.

849
01:11:36,856 --> 01:11:38,669
Hopefully all that came through.

850
01:11:40,006 --> 01:11:42,137
Are you hearing me in real time again?

851
01:11:42,801 --> 01:11:43,882
Close enough?

852
01:11:44,064 --> 01:11:45,480
Yeah, yeah, I didn't lose your audio.

853
01:11:45,480 --> 01:11:47,948
You're just a little dancy.

854
01:11:48,894 --> 01:11:50,118
I got it.

855
01:11:51,352 --> 01:11:54,543
We'll see, what are the other ones that I wanted to talk about?

856
01:11:54,543 --> 01:11:58,864
Notebook LLM, 11 Labs is an interesting one.

857
01:11:59,765 --> 01:12:07,327
One other, this one's not quite AI, it's not like an LLM.

858
01:12:08,387 --> 01:12:17,410
And it is a little pricey for like a smaller shop that's doing, if you're doing like less
than.

859
01:12:17,838 --> 01:12:23,002
500,000 a year or something, you're kind of limited on your tool budget.

860
01:12:23,103 --> 01:12:36,395
But this app, Clay, basically what it is, it's kind of like Google spreadsheets, but for
outreach and sales and enrichment.

861
01:12:36,395 --> 01:12:44,902
So imagine you've got a list of contacts in a spreadsheet and you push a couple buttons.

862
01:12:45,486 --> 01:12:57,146
and you can enrich all those contacts and even generate personalized messaging for those
contacts and connect that to tools like Zapier or other places.

863
01:12:57,426 --> 01:12:58,306
So that's what Clay is.

864
01:12:58,306 --> 01:13:10,486
It's kind of like a mix between Airtable and Google Spreadsheets or Google Sheets, but
also with the ability to take an email address, find the person on LinkedIn, grab that

865
01:13:10,486 --> 01:13:14,406
data, generate a personalized message to that person.

866
01:13:14,478 --> 01:13:16,338
based on what you found.

867
01:13:16,618 --> 01:13:20,398
And they've even got tools where you can actually send those messages out.

868
01:13:21,078 --> 01:13:29,238
like sales-wise, like go to market, like revenue, ops, those are all terms in the tech
industry.

869
01:13:29,338 --> 01:13:38,838
But like if you've got an outside sales reps and you want to feed them like relevant leads
with relevant information, Clay is definitely a tool to check out.

870
01:13:39,138 --> 01:13:40,127
don't know if should show you this.

871
01:13:40,127 --> 01:13:41,677
think I've never seen that one before.

872
01:13:41,677 --> 01:13:42,419
That's really cool.

873
01:13:42,419 --> 01:13:49,997
I I I can think of several sign companies that sales departments could use that right off
right out of the gate.

874
01:13:49,997 --> 01:13:51,198
That's pretty slick.

875
01:13:51,499 --> 01:13:52,230
It is kind of pricey.

876
01:13:52,230 --> 01:14:01,229
But I mean, for a bigger shop that's, you know, if your shop has a sales team that that's
not that's just a drop in the bucket there.

877
01:14:02,338 --> 01:14:16,462
Yeah, if you've got outside sales reps and you need to feed them leads and potential sales
versus kind of the inbound model that most shops swallow, this is a good tool for that.

878
01:14:16,462 --> 01:14:17,302
Yeah.

879
01:14:18,542 --> 01:14:19,562
What about perplexity?

880
01:14:19,562 --> 01:14:22,002
Are you using that a lot for as a search?

881
01:14:23,642 --> 01:14:24,702
Oh, did you have it open already?

882
01:14:24,702 --> 01:14:25,642
didn't see it.

883
01:14:26,812 --> 01:14:30,075
I think it's an interesting one, right?

884
01:14:30,075 --> 01:14:36,561
Because the claim is, hey, it goes out, grabs all the sources, and gives you a nice
summary.

885
01:14:37,984 --> 01:14:43,369
And I think it does that better than GPT for some use cases.

886
01:14:44,114 --> 01:14:49,321
It's intended to kind of be an actual search engine or like as a replacement for Google,
right?

887
01:14:49,321 --> 01:14:50,606
Is that my understanding?

888
01:14:50,606 --> 01:14:52,506
Yeah, it's basically what it is.

889
01:14:52,506 --> 01:14:55,246
It's like, hey, this is the AI search engine.

890
01:14:55,246 --> 01:14:56,866
like, you know, what's the best?

891
01:14:56,866 --> 01:14:57,706
Let's just try that.

892
01:14:57,706 --> 01:14:57,826
Right.

893
01:14:57,826 --> 01:15:02,046
What is the best sign companies in Bluefield, West Virginia?

894
01:15:02,046 --> 01:15:08,606
And that's not my great grammar, but like it goes out and there's better sign shop.

895
01:15:08,606 --> 01:15:10,006
We're number one.

896
01:15:10,706 --> 01:15:18,826
So, you know, again, a better sign shop, technically not a not a sign company.

897
01:15:18,826 --> 01:15:20,426
We serve sign companies.

898
01:15:20,440 --> 01:15:26,297
But I do get the list here, but this is, again, what makes these different.

899
01:15:26,499 --> 01:15:27,790
What makes these different?

900
01:15:27,790 --> 01:15:29,312
Let's ask you that and see.

901
01:15:35,638 --> 01:15:42,309
The main difference is Lamar focuses on, yeah, is this helpful?

902
01:15:42,331 --> 01:15:43,653
Maybe, maybe not.

903
01:15:43,653 --> 01:15:46,718
I think it depends on what you're trying to get out of it.

904
01:15:46,722 --> 01:15:55,769
feel like it, you know, like, like we were talking earlier about Google, like I could see
this being helpful, because you don't know on Google anymore, what's paid ad and what's,

905
01:15:55,769 --> 01:15:59,777
you know, legitimate, organic search result, something like that.

906
01:15:59,777 --> 01:16:07,458
Like, I feel like this is sort of like, strips all that, that crap out of Google searches
and just gives you only the context you want.

907
01:16:08,126 --> 01:16:11,677
The nice thing about this is it's like citing sources.

908
01:16:11,677 --> 01:16:16,329
So at least you can kind of like verify some of the information of like, how did it
synthesize this?

909
01:16:16,329 --> 01:16:16,629
Right?

910
01:16:16,629 --> 01:16:25,172
It looks like a lot of it's coming from Yelp or the yellow pages, in turn, like these are
obviously like SEO optimized pages.

911
01:16:25,172 --> 01:16:32,111
that's it's searching some search engine, whether that's Google or Bing or something, and
then summarizing the results.

912
01:16:32,111 --> 01:16:32,411
right?

913
01:16:32,411 --> 01:16:34,405
that's so is it actually giving you legitimate search results?

914
01:16:34,405 --> 01:16:39,342
Or is it just synthesizing illegitimate paid search results?

915
01:16:39,342 --> 01:16:40,562
Right.

916
01:16:40,842 --> 01:16:44,342
you know, like most of these are from Yelp, which, you know, it's a local search.

917
01:16:44,342 --> 01:16:49,402
So maybe that's why, but you know, it's something interesting to explore in your own
market.

918
01:16:49,822 --> 01:16:59,582
you know, I would, I would definitely be like a takeaway, you know, we'll save like the
three takeaways at the end of this one because we're already way long, but yeah, I would

919
01:16:59,582 --> 01:17:08,122
be running queries like this in chat GPT and something like perplexity and seeing what
comes back in your local market and just seeing

920
01:17:08,971 --> 01:17:14,216
Number one, like are you even remotely close to the top of the list that it comes up with?

921
01:17:17,880 --> 01:17:18,600
It's an interesting one.

922
01:17:18,600 --> 01:17:23,780
see a lot of people using perplexity, so I feel like there's something to it that hasn't
clicked with me yet.

923
01:17:23,780 --> 01:17:25,181
I need to try it again.

924
01:17:25,718 --> 01:17:28,901
Alright, last button.

925
01:17:28,901 --> 01:17:30,432
I don't even know if I want to get into this one.

926
01:17:30,432 --> 01:17:33,705
Like we're already at like a minute, an hour, 20 minutes.

927
01:17:33,705 --> 01:17:35,967
Maybe we save that one for something else.

928
01:17:37,128 --> 01:17:39,192
Replet, this is the one that I just put you on.

929
01:17:39,192 --> 01:17:40,619
We gotta show it, we gotta show it.

930
01:17:40,619 --> 01:17:41,761
It's so cool.

931
01:17:42,190 --> 01:17:55,419
All right, so Replet and there's a whole slew of these now, which as a person who does
identify as a developer or at least capable of doing development, these things are insane

932
01:17:55,419 --> 01:18:01,624
to me where basically it's like an AI agent that will generate whatever tool that you ask.

933
01:18:01,624 --> 01:18:07,158
And lovable is one that's more like non-tech oriented.

934
01:18:07,158 --> 01:18:10,870
like if you don't fashion yourself a

935
01:18:11,566 --> 01:18:19,586
want to be a developer or somebody who doesn't want to get too far into the weeds, you can
try lovable.

936
01:18:19,586 --> 01:18:21,906
So that's just lovable.dev.

937
01:18:21,966 --> 01:18:33,466
And basically you're interacting with chat GPT sort of thing, but it's actually generating
a working app for you that you can publish and share, which is super interesting.

938
01:18:33,466 --> 01:18:33,870
So.

939
01:18:33,870 --> 01:18:39,030
Yeah, and I just, uh, I, I tried lovable out recently just to see what it could do.

940
01:18:39,030 --> 01:18:43,230
Um, and I'm constantly converting dimensions, right?

941
01:18:43,230 --> 01:18:49,490
Like, you know, one 27.34, I need to figure out what that is in fractional feet and
inches.

942
01:18:49,490 --> 01:18:49,750
Right.

943
01:18:49,750 --> 01:18:57,510
So there's my calculator is always up and by my side and I must convert 50 dimensions on a
daily basis on average.

944
01:18:57,510 --> 01:18:58,910
And it's tedious and I hate doing it.

945
01:18:58,910 --> 01:19:04,166
So I had lovable write me a little web app that I could, you know, plug in whatever number
it is.

946
01:19:04,766 --> 01:19:07,166
And it would just be the conversion for me automatically.

947
01:19:07,166 --> 01:19:11,006
And I could click a copy button and I can paste it into CorelDRAW and it's done.

948
01:19:11,006 --> 01:19:14,966
And the conversion, super fast, super simple.

949
01:19:14,966 --> 01:19:17,566
Nothing like that existed on the market at all that I could find.

950
01:19:17,566 --> 01:19:21,166
looked everywhere and I would have been willing to pay for it because it would have saved
me so much time.

951
01:19:21,786 --> 01:19:28,946
within an hour on Lovable, and the majority of that time was just kind of like tweaking
and fine tuning the appearance of it.

952
01:19:28,946 --> 01:19:31,146
I had this functional calculator.

953
01:19:31,146 --> 01:19:33,226
Yeah, and I use this thing every day.

954
01:19:33,226 --> 01:19:45,574
I think it's a great example of how, like we were talking earlier, the app development
world is probably going to change drastically because there's no longer a need for

955
01:19:46,094 --> 01:19:51,058
somebody to make that product and sell that dimension conversion product.

956
01:19:51,058 --> 01:19:54,219
I had a very specific need that would help me make my job easier.

957
01:19:54,240 --> 01:19:56,921
And in an hour, I had a tool that I can use for it.

958
01:19:56,921 --> 01:19:58,092
I made my own tool.

959
01:19:58,092 --> 01:20:04,794
Yeah, and somebody else's needs might be slightly different than mine as far as converting
dimensions and they can build their own tool that works just for them that does just what

960
01:20:04,794 --> 01:20:05,982
they needed to do.

961
01:20:05,982 --> 01:20:15,988
I think that's going to be a really revolutionary thing that is when more business owners
kind of wrap their head around how this works and realize the value that that brings.

962
01:20:15,988 --> 01:20:21,742
I think this part of it, these little app generators is going to be mind blowing to
people.

963
01:20:21,742 --> 01:20:25,152
I guess I spoke too soon about lovable.

964
01:20:25,492 --> 01:20:26,373
lovable.

965
01:20:26,373 --> 01:20:28,586
It is not able to fix it.

966
01:20:28,586 --> 01:20:30,289
Because it usually will.

967
01:20:30,289 --> 01:20:35,595
Yeah, usually it's able to resolve it if you just say this, you know, fix this error,
which is kind of neat.

968
01:20:35,595 --> 01:20:37,318
It's actually need to watch it troubleshoot itself.

969
01:20:37,318 --> 01:20:44,206
And I had to do that a few times when it was doing my my little app and it worked through
the problem and

970
01:20:45,042 --> 01:20:55,308
The interesting part here is this is actually generating source code that you could take
and run somewhere else.

971
01:20:55,868 --> 01:21:01,771
I don't know if this thing will actually be able to write itself and actually show this.

972
01:21:03,032 --> 01:21:04,502
It's not coming up with anything.

973
01:21:04,502 --> 01:21:12,137
I don't want to waste too much more time, but considering this is one of the examples, I'm
disappointed this one didn't work right out of the gate.

974
01:21:13,554 --> 01:21:15,995
Basically, it's writing code for you.

975
01:21:16,135 --> 01:21:23,399
you know, it's kind of nice for like simple apps like Mike is talking about.

976
01:21:23,399 --> 01:21:25,791
I wouldn't try to replicate something like Shotvox on here.

977
01:21:25,791 --> 01:21:30,043
Like you're going to get frustrated, especially if you're like a non-developer.

978
01:21:30,283 --> 01:21:39,708
The other one that I do think is more interesting of like for a technical person or more
technically inclined.

979
01:21:39,708 --> 01:21:43,700
Again, like you're still going to be like looking at some code.

980
01:21:44,415 --> 01:21:46,161
is this is called Replet.

981
01:21:46,161 --> 01:21:49,129
So Replet is basically

982
01:21:51,298 --> 01:22:04,891
It's like a full-on development environment, but they've added this agent to it where
again, I could just chat with this and say, we're creating a I Didn't even honestly.

983
01:22:04,891 --> 01:22:16,408
I didn't even give it this prompt right so again if you're listening to this I Was trying
to show this to Mike and I said, okay like Mike is a freelance sign designer I want you to

984
01:22:16,408 --> 01:22:20,700
build a freelance sign design collaboration web portal platform

985
01:22:20,878 --> 01:22:22,669
It's like seven words, right?

986
01:22:22,669 --> 01:22:23,919
That's what I gave it.

987
01:22:24,140 --> 01:22:29,042
This agent goes in and creates a scope of work based on that.

988
01:22:29,163 --> 01:22:34,025
And then it starts knocking this off one by one, basically autonomously.

989
01:22:34,025 --> 01:22:37,387
Like I never had to touch any of this.

990
01:22:38,538 --> 01:22:43,020
let's see if I can actually get to the...

991
01:22:43,020 --> 01:22:50,494
I'm gonna hit run and see if we can actually see what it built in like 10 minutes.

992
01:22:50,606 --> 01:22:53,226
I'm going to restart the server.

993
01:22:53,226 --> 01:22:54,266
What does this do?

994
01:22:59,458 --> 01:23:01,205
Good, I've broken all these.

995
01:23:04,472 --> 01:23:06,105
Let's fix this thing.

996
01:23:06,367 --> 01:23:07,146
Good job, right?

997
01:23:07,146 --> 01:23:08,232
Let's demo.

998
01:23:09,934 --> 01:23:14,314
Well, you know, I think this is actually kind of good to show people because this is part
of it.

999
01:23:14,314 --> 01:23:18,454
I mean, you're going to have to troubleshoot as you build this.

1000
01:23:18,454 --> 01:23:23,814
mean, it'll do the troubleshooting for you, but you kind of have to like push it and hold
its hand like, Hey, this isn't working.

1001
01:23:23,814 --> 01:23:27,254
Can you find the error and fix this for me?

1002
01:23:27,514 --> 01:23:34,574
Um, you know, when I was playing around with this, I, know, every once in a while I'd get
hung up on something and I had to kind of show it that it was hung up, guess, for lack of

1003
01:23:34,574 --> 01:23:39,074
a better term, but, um, it is cool that it

1004
01:23:39,074 --> 01:23:44,160
You know, if something goes wrong, you're not on the hook and try and figure out what
happened.

1005
01:23:45,559 --> 01:23:49,425
Restarted start application restarted start application.

1006
01:23:49,486 --> 01:23:49,977
yeah, of course.

1007
01:23:49,977 --> 01:23:53,653
This is not gonna work either after I talk this shit up

1008
01:23:55,790 --> 01:23:57,231
It's the way these things go.

1009
01:23:58,152 --> 01:23:59,353
Thinking deeply.

1010
01:23:59,353 --> 01:24:00,154
Thank you.

1011
01:24:00,154 --> 01:24:02,495
Thank you for thinking deeply about the problem.

1012
01:24:02,536 --> 01:24:08,721
Basically, this was a super lightweight application that had like a queue, a job queue.

1013
01:24:09,002 --> 01:24:12,405
But the interesting part is like it spins up the infrastructure for you as well.

1014
01:24:12,405 --> 01:24:14,156
So like behind the scenes here.

1015
01:24:16,504 --> 01:24:17,995
Go to the database.

1016
01:24:18,838 --> 01:24:20,659
The database is paused.

1017
01:24:20,730 --> 01:24:24,897
that's probably, that's the issue.

1018
01:24:24,897 --> 01:24:26,668
Like I'm not on a paid account.

1019
01:24:28,558 --> 01:24:29,209
I've got a paid account.

1020
01:24:29,209 --> 01:24:30,611
want me to share my screen and show what?

1021
01:24:30,611 --> 01:24:31,122
Yeah.

1022
01:24:31,122 --> 01:24:31,352
Yeah.

1023
01:24:31,352 --> 01:24:32,214
I had to do the same thing.

1024
01:24:32,214 --> 01:24:33,475
Yeah.

1025
01:24:33,475 --> 01:24:34,506
Hang on here.

1026
01:24:34,667 --> 01:24:35,038
Yeah.

1027
01:24:35,038 --> 01:24:38,432
I think I use the exact same prompt when you share this to me.

1028
01:24:39,306 --> 01:24:43,094
Okay, yeah, so like you actually got to like a login page and shit.

1029
01:24:44,206 --> 01:24:48,546
Uh, yeah, yeah, I actually, I've got, see, that's probably gonna do the same thing to me
now.

1030
01:24:48,546 --> 01:24:49,626
Let's see.

1031
01:24:49,626 --> 01:24:50,790
How do I?

1032
01:24:56,563 --> 01:24:58,781
Hit run up there at the top and see what it does.

1033
01:25:00,930 --> 01:25:04,393
And that should, I want to say it shows in that web view pane.

1034
01:25:07,165 --> 01:25:08,135
there we go.

1035
01:25:08,377 --> 01:25:08,988
User error.

1036
01:25:08,988 --> 01:25:09,699
So.

1037
01:25:17,326 --> 01:25:18,926
And yours is actually...

1038
01:25:18,926 --> 01:25:20,386
Oh, shit, okay.

1039
01:25:20,506 --> 01:25:21,666
You got way farther than I did.

1040
01:25:21,666 --> 01:25:23,086
You spent more time with it.

1041
01:25:23,086 --> 01:25:24,646
So it creates a new project.

1042
01:25:25,586 --> 01:25:27,106
There's the project.

1043
01:25:27,500 --> 01:25:28,881
Yes, so that's as far as I got with it.

1044
01:25:28,881 --> 01:25:30,822
But you know, I've got a login page.

1045
01:25:30,822 --> 01:25:33,774
I've got a dashboard that'll show you all your projects in a card view.

1046
01:25:34,250 --> 01:25:40,349
You know, some filters here, a new project button, you know, some, some, you know, basic
stuff.

1047
01:25:40,349 --> 01:25:48,665
I mean, it's not like this is a functional app or anything, but this took 20 minutes to do
and just, you know, I told it what to do and that's what it did.

1048
01:25:48,985 --> 01:25:52,490
And as far as I just stopped, I was just kind of playing around with to see what it would
do.

1049
01:25:52,490 --> 01:25:56,160
And I mean, it's, it's pretty wild.

1050
01:25:57,659 --> 01:26:05,315
I mean, it's not like this isn't something where like, you know, it's going to build out
an entire app with one prompt and in an hour, right?

1051
01:26:05,315 --> 01:26:11,530
Like it's, if you wanted to build out an entire, you know, truly functional project
management tool that has a lot of bells and whistles.

1052
01:26:11,530 --> 01:26:16,578
And, you know, maybe not the complexity of something like shop box, but something that's
still full.

1053
01:26:16,578 --> 01:26:22,538
You're going to have dozens and dozens of hours and it's still, I mean, it's not going to
be fast, but

1054
01:26:22,550 --> 01:26:26,719
you won't have hundreds and hundreds or thousands of hours in it like if you were building
it from scratch.

1055
01:26:27,234 --> 01:26:36,619
Yeah, it's super interesting and being able to see where that's going to go as a developer
building stuff is interesting to me.

1056
01:26:36,620 --> 01:26:50,788
But also, there's this interesting space of, like you mentioned, of, hey, we need this app
to exist or even stuff like integrations between applications where I could leverage LLM

1057
01:26:50,788 --> 01:26:54,630
or an AI to build that for me instead of...

1058
01:26:55,168 --> 01:26:59,432
spending $25,000 to have somebody build that integration is super interesting.

1059
01:26:59,458 --> 01:27:00,298
Yeah.

1060
01:27:00,979 --> 01:27:04,262
Did our, did our notebook LM thing?

1061
01:27:04,262 --> 01:27:05,983
Did it finish?

1062
01:27:07,304 --> 01:27:10,086
Are you able to audio through this?

1063
01:27:12,056 --> 01:27:13,286
Yeah, I don't know.

1064
01:27:13,286 --> 01:27:14,746
Could be interesting.

1065
01:27:14,809 --> 01:27:17,031
Click to load the conversation.

1066
01:27:17,546 --> 01:27:18,473
How do I share?

1067
01:27:18,473 --> 01:27:19,664
Can I share audio?

1068
01:27:19,664 --> 01:27:20,915
I don't think so.

1069
01:27:21,616 --> 01:27:24,258
I can upload a potential file.

1070
01:27:24,726 --> 01:27:29,184
I don't know if I can make it listen to the computer audio or not.

1071
01:27:29,765 --> 01:27:30,645
If I...

1072
01:27:30,830 --> 01:27:39,190
You know, when you share your share that share your screen or share the tab, I think when
you share it gives you an option to share audio that that tab audio as well.

1073
01:27:39,190 --> 01:27:40,390
I feel like I saw that

1074
01:27:40,930 --> 01:27:42,691
I can download the audio.

1075
01:27:44,153 --> 01:27:45,813
Let's see.

1076
01:27:46,635 --> 01:27:48,455
Stop share.

1077
01:27:49,837 --> 01:27:51,638
Where's the share button at now?

1078
01:27:53,898 --> 01:27:55,240
Share screen.

1079
01:27:56,578 --> 01:27:59,528
To share audio, share a tab instead.

1080
01:27:59,970 --> 01:28:00,712
Okay.

1081
01:28:00,712 --> 01:28:02,454
All right, let's see if this is gonna work.

1082
01:28:07,534 --> 01:28:08,674
Can you hear that, Mike?

1083
01:28:09,494 --> 01:28:10,003
No.

1084
01:28:10,003 --> 01:28:11,718
you hear it?

1085
01:28:12,046 --> 01:28:15,586
I hear it in my microphone, or in my headphones here.

1086
01:28:15,746 --> 01:28:20,398
We'll just share this in the show notes.

1087
01:28:20,398 --> 01:28:21,050
We'll figure it out.

1088
01:28:21,050 --> 01:28:21,940
Yeah.

1089
01:28:22,864 --> 01:28:25,509
We need an AI podcast producer.

1090
01:28:26,040 --> 01:28:30,033
How about we stay on?

1091
01:28:30,033 --> 01:28:31,454
Yeah, sure it does.

1092
01:28:32,035 --> 01:28:33,846
Alright, we're an hour and a half in.

1093
01:28:33,846 --> 01:28:36,277
We can keep doing this for hours.

1094
01:28:36,910 --> 01:28:38,599
I feel like this is a good stopping point.

1095
01:28:38,599 --> 01:28:41,361
We've hit on a lot of different facets.

1096
01:28:41,402 --> 01:28:47,936
I feel like this needs to become a reoccurring thing every couple of months to try keep up
to speed.

1097
01:28:48,152 --> 01:28:49,614
Yeah, it'll change.

1098
01:28:50,425 --> 01:28:53,375
Always good to catch up any parting shots like

1099
01:28:58,195 --> 01:28:59,314
It's an overwhelming topic.

1100
01:28:59,314 --> 01:29:09,248
I don't even know where like, just, you know, I think that I genuinely think everybody
really should should embrace this and dedicate some time to learning it and understanding

1101
01:29:09,248 --> 01:29:09,698
it.

1102
01:29:09,698 --> 01:29:20,521
Hop on YouTube, you know, learn some, watch some AI, you know, introduction to AI videos
or basics of prompting, you know, learn, learn prompting, learn the art of prompting, get

1103
01:29:20,521 --> 01:29:21,461
really good at that.

1104
01:29:21,461 --> 01:29:23,776
And, you know, I think when people really

1105
01:29:23,776 --> 01:29:27,028
start to understand that part of it and play with it a little bit more.

1106
01:29:27,028 --> 01:29:32,571
They'll recognize how powerful of a tool this is and how much it has the potential to make
their lives easier.

1107
01:29:33,392 --> 01:29:35,893
If they, you know, approach it with an open mind.

1108
01:29:37,484 --> 01:29:38,176
I like it.

1109
01:29:38,176 --> 01:29:38,617
I like it.

1110
01:29:38,617 --> 01:29:40,481
Very diplomatic.

1111
01:29:41,246 --> 01:29:43,476
You no doom and gloom, so I'm trying to-

1112
01:29:43,476 --> 01:29:45,747
Doom and Glade.

1113
01:29:45,747 --> 01:29:48,588
These tools are super interesting, right?

1114
01:29:50,769 --> 01:30:05,135
If I was putting an ROI on the time I've invested in these tools, I would take the advice
of Mike and I and skip some of the deep rabbit hole stuff and figure out what are the use

1115
01:30:05,135 --> 01:30:05,886
cases.

1116
01:30:05,886 --> 01:30:13,506
I would try to figure out what are the use cases that I can leverage this for without a
ton of investment.

1117
01:30:13,506 --> 01:30:18,748
as far as like, personally, hours and hours and hours, and I'm like super deep into it.

1118
01:30:18,748 --> 01:30:20,551
I've dragged Mike into it.

1119
01:30:22,052 --> 01:30:27,695
It's super interesting, but also I'm like, I'm not building and selling signs on a daily
basis anymore either.

1120
01:30:28,156 --> 01:30:42,166
like I can imagine like if that was, if I wasn't at my computer all day, every day, it
would be hard to have this depth with it and know what's good and what's bad.

1121
01:30:42,166 --> 01:30:43,016
I would...

1122
01:30:44,032 --> 01:30:46,286
You know, start somewhere, obviously, but...

1123
01:30:46,286 --> 01:30:55,986
would encourage anybody who's you know, if you're dealing with some sort of a predicament
or business problem you're trying to solve or whatever it may be something related to your

1124
01:30:55,986 --> 01:31:01,446
business, just ask Claude or chat GPT, you know, hey, this is what I'm dealing with.

1125
01:31:01,446 --> 01:31:04,366
This is what I'm trying to figure out.

1126
01:31:04,666 --> 01:31:08,486
All you have to say this is this is the problem we're trying to figure out help me solve
it.

1127
01:31:08,486 --> 01:31:10,846
You don't even have to necessarily ask it a specific question.

1128
01:31:10,846 --> 01:31:15,926
Let it let it have a conversation with you just start having a conversation with these
things.

1129
01:31:15,944 --> 01:31:25,708
and and see where you end up i think that's kinda like the best way to you know maybe two
to learn about it or to take get more comfortable with it is just to start talking to

1130
01:31:25,708 --> 01:31:34,422
about whatever it is it's on your mind as strange as that sounds strike up a conversation
with your computer and and i think most people be really pleasantly surprised that that

1131
01:31:34,422 --> 01:31:42,265
where it goes and they'll start you know the gears will start turning ill searchy i could
use this in this part of my life for in this part of my business right it i could use it

1132
01:31:42,265 --> 01:31:44,116
to do this for me and

1133
01:31:45,527 --> 01:31:46,830
Yeah, that is true.

1134
01:31:46,830 --> 01:31:53,644
The deeper you go, the more you're like, hey, could see a use case for this or a use case
for that.

1135
01:31:53,750 --> 01:31:54,390
Yeah, totally.

1136
01:31:54,390 --> 01:31:57,542
Like I said, like I, I don't use it just as a business tool.

1137
01:31:57,542 --> 01:32:01,954
Actually, in all honesty, I probably use it more as a personal tool than a business tool
at this point.

1138
01:32:02,115 --> 01:32:05,337
And I use it as a business tool a lot for writing and things like that.

1139
01:32:05,337 --> 01:32:08,348
But it just anything where should I go for dinner tonight?

1140
01:32:08,348 --> 01:32:08,819
What should I have?

1141
01:32:08,819 --> 01:32:09,579
What should we make for dinner?

1142
01:32:09,579 --> 01:32:19,665
What's, you know, what, what whatever, it's incredible to have this thing in your pocket
that you can ask a question of, mean, hell, I'm at I could be at a restaurant and I'm

1143
01:32:19,665 --> 01:32:21,626
like, I don't know what that is on that menu.

1144
01:32:21,666 --> 01:32:25,850
And can, I can take a picture of the menu and ask chat GBT like, Hey, what is this?

1145
01:32:25,850 --> 01:32:26,110
What?

1146
01:32:26,110 --> 01:32:26,571
like it.

1147
01:32:26,571 --> 01:32:30,094
And it, and you know, like it's amazing, just stuff like that.

1148
01:32:30,094 --> 01:32:39,964
Like that you, you don't think of it first, but you know, the more you use it, the more
you get comfortable with it, the more you realize like, shit, can, this thing is like a

1149
01:32:39,964 --> 01:32:42,345
life assistant, you know,

1150
01:32:42,604 --> 01:32:44,357
bucks a month for most people.

1151
01:32:44,359 --> 01:32:45,550
It's the insane part.

1152
01:32:45,550 --> 01:32:46,450
Yeah, well, hell for free.

1153
01:32:46,450 --> 01:32:49,210
If you don't want to pay for me, you can get this out of it for free.

1154
01:32:49,210 --> 01:32:52,430
But paying for the, you know, the paid models is definitely worth it.

1155
01:32:52,430 --> 01:32:55,310
I recommend everybody pay for it.

1156
01:32:55,310 --> 01:32:58,950
Just to, you know, help fund the cause of nothing else.

1157
01:32:59,896 --> 01:33:02,007
All right, that's all I got to say about that.

1158
01:33:02,007 --> 01:33:05,569
Mike, always a pleasure, Let's do this again.

1159
01:33:05,569 --> 01:33:14,092
We'll have to get that mindfulness mental health episode fleshed out.

1160
01:33:14,092 --> 01:33:16,673
And I want to find an expert for that one.

1161
01:33:16,694 --> 01:33:17,694
But...

1162
01:33:18,038 --> 01:33:19,657
Yeah, I that'd be really good one.

1163
01:33:19,884 --> 01:33:22,736
Yeah, this has been great, man.

1164
01:33:23,236 --> 01:33:25,517
What am I supposed to say at the end of these things?

1165
01:33:25,698 --> 01:33:37,826
If you are interested in being a guest on the podcast, you know, we're looking for super
interesting stories from shop owners, sign industry experts, definitely hit us up.

1166
01:33:37,826 --> 01:33:40,208
Hey, at better sign shop.com.

1167
01:33:40,468 --> 01:33:44,521
We do have our Facebook group for shop owners only.

1168
01:33:44,521 --> 01:33:46,152
Make sure you check that out.

1169
01:33:46,152 --> 01:33:49,344
Just look for the Better Sign Shop community on Facebook.

1170
01:33:49,666 --> 01:33:52,247
I don't particularly like Facebook, but you guys do.

1171
01:33:52,288 --> 01:33:53,818
And that's where everybody is at.

1172
01:33:53,818 --> 01:33:55,829
So that's where we hang out.

1173
01:33:56,050 --> 01:34:00,592
Lots of great resources and connections there as well.

1174
01:34:01,133 --> 01:34:02,013
That's it.

1175
01:34:02,013 --> 01:34:03,213
Roll credits.

1176
01:34:04,078 --> 01:34:04,858
Boom.