August 22, 2025 • 47 mins
Welcome to Episode 3 of The Factory Floor!
-
AI is the hottest trend in tech, but let’s be real—most AI companies suck at marketing. From meaningless jargon and generic branding to overusing “AI” in every sentence, these startups are making the same mistakes that doomed blockchain and Web3.
In this episode, we break down the five biggest problems with AI marketing and what companies should be doing instead:
🚨 1. Vague, Meaningless Positioning – Why AI startups fail to communicate a clear use case.
🎨 2. The Same Boring Visuals – Why every AI brand looks like a clone of OpenAI.
📝 3. Overusing “AI” in Copy & Branding – Stop putting “AI” in your name—it won’t age well.
⚠️ 4. Have We Learned Nothing from Web3? – The dangers of overhyping a tech trend.
🔍 5. AI’s Biggest Marketing Problem: Skepticism – Why customers are getting smarter (and how to earn their trust).
Most AI companies aren’t actually AI companies—they’re just wrappers on top of OpenAI, Anthropic, or Meta’s models. And that’s fine! But if you want to stand out, you need better marketing.
🔹 How can AI startups fix their marketing? We share actionable insights on:
✅ Being transparent about what’s under the hood
✅ Showing real-world value beyond “AI-powered”
✅ Building trust in an industry full of hype
If you’re in SaaS, marketing, or just tired of seeing the same AI clichés everywhere, this episode is for you!
#saas #ai #aimarketing #openai #branding #productmarketing
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Nick (00:06):
Okay. Ladies and gentlemen, geeks, welcome to the
factory floor. I am Nick Loudon,your host. I'm joined with by
Corey Haynes and Zach Stevens.Corey Haynes is our resident
marketer, Zach, our residentdesigner.
I'm your resident web flow head,and we are gonna be talking
(00:27):
about my absolute favoritetopic. Gentlemen, are you ready?
We're talking about and no oneelse is talking about this.
Okay? No one.
AI. Have you heard of this?
Corey (00:39):
What what does this stand for?
Zach (00:41):
I've heard of IA, but is it any any relation?
Nick (00:46):
I have no idea.
Zach (00:48):
Okay. Just
Nick (00:49):
making a Artificial choice because intelligence. You've
heard of this.
Corey (00:53):
Well, you know, we know basketball. Zach doesn't really
know who Allen Iverson is, butwe could talk we can talk AI.
Nick (01:00):
AI, Andre Gonzalez. So we're gonna talk about AI, which
is do you guys know I have likea little a soft spot for hating
AI? I guess it's not really asoft spot.
Corey (01:12):
With AI.
Nick (01:13):
Yeah. I have a Why
Corey (01:14):
don't you tell us what your hate with AI is? Mhmm.
Nick (01:16):
Okay. So that that will be the launching point for what I
think we should talk about. Iit's not that I don't like what
AI is. I don't like how muchpeople talk about it, if that
makes sense. Like, there's Ifeel like I can't go into any,
like, conversation or readanything on Twitter or go to
(01:38):
any, like, sales call withouthearing something about AI,
whether it's their entirebusiness or some new features.
Like, all new features must haveAI. And if they don't, your
business is irrelevant. And it'slike it's like when COVID was
happening, and it was, like,maybe, like, November 2020. So
we're, like, six months in. AndI was like, just we can talk
(02:03):
about what's happening withCOVID, but don't say the word
COVID.
I don't want you to say theword. Like, I that word hurts to
hear. That's how I feel aboutAI. And it's because a lot
honestly, a lot of the stuff, Idon't even know, like, what the
business is. Like, if I'mreading a tweet about AI, like,
this new company is doing thiswith AI, like, I'm, like, this
is just it might as well just begibberish or Wingdings, my
(02:27):
favorite font.
I have no idea what they'retalking about. So could you
explain to me why I feel thisway?
Corey (02:36):
Mhmm.
Zach (02:39):
No. Well, I mean, you're not wrong. I think that one of
the one of the core things thatis that's a problem with AI is,
I mean, you could title noteveryone, but there are some who
definitely hold the position oflike everything, everywhere, all
at once for anybody at any timeat any place. And it's like, it
(03:00):
it's too much. You can't there'sno specificity to it, so it's
impossible to understand itsrelevance to you.
It's almost like it it becomewhen people talk about AI,
specifically within the realm oftheir product, becomes so
ethereal and nebulous that youhave no idea, like, what's the
concrete benefit and action thatI have to take that this enables
me to do. That's not always thecase, but that is it's a big
(03:24):
problem that I think we've seen,particularly with some of the
larger AI companies, or at leastthe ones that have tried to,
like, you know, more just playthe hype game, and throw the
jargon out there with the hopesof getting like a lot of
fundraising money, and they'llprobably pump and dump, and
they're out.
Corey (03:41):
Yeah. Well, Nick, I think your perspective is interesting,
because I think that what you'refeeling is actually what like
90% of everybody else isfeeling, which is you don't
really know what AI means, andit's being, like, hyped and
overused so much that becomesmeaningless. And basically, just
this, like, this talking pointwhere everybody is saying AI
(04:05):
because they're expected to sayAI and expected to work on
something related to AI, and andeverybody knows everything about
AI, so that makes you cool andrelevant and and and on trend.
Nick (04:16):
Can I color my thought more? Sure. It's like it's like
if I was a dairy farmer, and Idiscovered milk, and everyone's,
like, hearing about milk, andI'm, like, listen, man. You
gotta use the milk, and you'llget milk to have milk. And
everyone's like, oh, it's justlike this circular, like, like,
it's just one word, and like thesame word points to the same
(04:38):
thing and goes in a big circle.
Sorry. I cut you off. But I justI never get to like the meat of
it. Sorry. I cut rated your themiddle of your thought.
I just like couldn't keep thatin my brain any longer.
Corey (04:49):
No. Yeah. I think I think you have a good point because a
lot of people well, it's sofunny because I was just
snowboarding with my brother,and my my nephew is with us.
He's, I think, 14 or 15 now. Asuper super smart kid.
And now AI has has has enteredinto the mainstream awareness
(05:10):
and vernacular. But the problemis that they have no idea what
it is or how it works. So he waslike, AI is so stupid because it
can't do math and it gets mathwrong. And I was like, yeah,
that's a really goodobservation. Like, you're
totally right.
And I was like, do you know why?And he's like, it's AI. Isn't it
supposed to just like knoweverything and be like smarter
(05:31):
than us? I was like, well, yeah,kind of, but actually what we
say is AI is machine learning,which is essentially like
pattern recognition applied toLLMs, large language models,
which is really like a giantcorpus of text and information
that something is uploaded ascontext. And then we've created
(05:55):
a technology that makes use ofLLMs to predictively generate
text off of those LLMs.
And so it's not trained on math.It's not trained to do math
really well. Math is already asolved problem anyways. Like,
have calculators that get theanswer right every single time
no matter how complex theproblem is. What we haven't
(06:18):
solved is text generation, andimage generation, and video
generation, you know, mediageneration as a whole.
And that's what AI really excelsat. And the applications are
really far reaching because thisis something we've never been
able to crack. But it really hasthe same story and life cycle as
(06:39):
math and calculators. Where Iwas like, as soon as we had this
amazing technology to run allthese complex equations, Then we
started sending people to spaceand we started, you know,
solving all these things thatmade physics and simulations for
airplanes and, you know, reallyreally fine cut metals and
(07:03):
predicting the weather and andand, you know, knowing about
space and the aerodynamics, andthat's all the application of
math. So the application of AIis going to be, I think, kind of
a similar revolution, but peopledon't realize the kind
Zach (07:18):
of level of breakthrough and and what it really means.
Yeah. I think more they don'tunderstand what problems it
could potentially solve forthem. I think that that's the
the main issue. And that's theproblem that we see with a lot
of the companies that aremarketing it, is that they
aren't able to attribute thecool features and solutions that
their AI is capable of to thatit problems that people actually
(07:42):
wanna solve.
We've seen we've seen a coupleuse cases of it, like I mean,
one of our long time clients,Sensible, I thought that was a
really good use case for AI,which was the extraction of
uploaded printed like, printdocuments, and then transposing
that into segmented data. So,like, JSON files or Python
(08:06):
files, where it was doingoptical character recognition
and then pulling all the datafrom it, and then making it
something that a developer couldactually use. You know, like,
that's that's a real problem.Like, a developer having to go
through and manually pull all ofthat data from, like, a a PDF
and have to guess likesomebody's handwriting. Where if
they saved 90% of their manhours trying to do that, that's
(08:28):
a a very useful problem tosolve.
Hyperspecific. But again, likeputting putting a solution to a
problem as opposed to, like,just the thing itself, like AI.
So
Nick (08:42):
I guess the question is like, why how come, you know,
95% of all the marketing aroundAI companies that I see, whether
it's someone tweeting about itor someone's website or whatever
it is, is all, like, thiscircular pattern? Like, how why
(09:03):
are they not, like, figuring outlike, hey, how do we like market
this product? Like, why aren'tthey able to do that?
Corey (09:11):
The AI is cool. Answer that question yet.
Nick (09:14):
You don't even know.
Corey (09:15):
No. No. Seriously.
Nick (09:17):
Dude, I don't wanna know either.
Corey (09:19):
I don't know if you guys saw, but YC just put out Y
Combinator just put out arequest for startups, and they
do this every year. So back in,you know, 2020 through 2022 is a
lot of it was like blockchainand crypto and web three
related. Mhmm. And they'realways gonna be on trend. Right?
And so this year, their requestfor startups were all AI
(09:39):
related. And so they had allthese specific I think they had
like 15 different startup ideasthat were all incorporating AI.
And this is what people do. Thisis what a lot of founders do, is
they start with sort of anapplication or a business
problem, And then they say, howcan we apply AI to this to
(10:01):
disrupt this industry, to dothings better, faster, quicker,
or cheaper? But they don't knowexactly what that looks like.
And so the best that they cancome up with is, we're a AI CRM.
We're an AI website builder.We're a AI x y and z. But they
don't know the implications ofwhat that's gonna do for people,
(10:24):
why people should care aboutthat, let alone how to
communicate those things. Sowhat do they slap on their
website?
We're the AI CRM. Well, whatdoes that actually mean for
people? Why would I care aboutan AI CRM? How is a AI CRM
better than a non AI CRM?They're still trying to answer
(10:44):
that question.
Now, we'll get there, but we'reso early in the life cycle still
that people aren't starting withthe, okay, here's what the end
goal that I want to achievebecause we don't really know.
Well, we do. People are figuringit out. I'm just saying,
especially very early stagestartups, they don't know what
(11:04):
the what the the purpose oftheir startup is yet. They just
know that maybe there'ssomething to be had here with
applying AI to whatever businessapplication they're they're
trying to apply it to.
Nick (11:23):
I I were you gonna say something, Zach?
Zach (11:25):
No. Go for it.
Nick (11:27):
I was gonna say, like, I would like to put the disclaimer
out. I am not anti AI. I think
Corey (11:33):
Yes, you are. It's okay to be.
Nick (11:34):
No. No. No. No. No.
That's not true.
Zach (11:36):
He's He uses I
Nick (11:39):
am not anti AI. I'm just I'm just tired. Like, I'm just
tired of, like, the way it'sbeing marketed and how much it's
being talked about. Like, I likethe products. Some of well, I
like some of the products thatare coming out that are
surrounding AI.
Like, I think when, like, fromthe a like, what was it? Like,
(11:59):
almost two years ago that, like,ChatGPT was, like, released or
whatever to the for all ofeveryone could just use. And I
remember, like, seeing, like,just a video. So I mean, like,
check this out. Like, I'mtalking to Abraham Lincoln.
And that was, like, the coolthing you could do on chat GBT.
But, like and I was like, youknow, this is great. And I'm I'm
fine with what AI does and howit's been changing the tech
(12:24):
industry. I'm just like, I'mjust getting like burnt out from
Right. The excess and the amountthat's going on.
Zach (12:33):
I think we saw a similar problem. And I mean, it it I
feel like people should justlook back four years ago, like
to what YC was doing in 2020with all the blockchain and web
three stuff. Because the sameproblems are surfacing, which is
they're putting so much emphasison this feature and the
mechanism rather than thebenefit of it. And the benefits
(12:54):
are really cool, but the problemis that when you put so much
focus on it, then you actuallylose sight of those benefits.
And then people become skepticalof like, oh, that's just like a
a Ponzi scheme, you know, peopletrying to get in and raise a
bunch of money and or, you know,go public without having a
product, and then dump theirstock and and leave.
(13:14):
And then you get weird things aswell, like, that have legit
application, like, with NFTs.There's a 100% legitimate
application for non fungibletokens of, like, proof of of of
certification of proof, oftransfer of ownership, of all
those other things that arehighly valuable, but then we got
(13:35):
it being used to buy Bored eightJPEGs. That's an art. This isn't
a bad thing either. You know,there's there's good reason to
have that kind of applicationand ownership and be record of
it.
But that's what the generalpublic ends up seeing. And then
they become skeptical, like,well, this just sounds stupid.
(13:58):
It's like a a circle jerk foreverybody who's inside of this
nebulous of blockchain. And nowit's happening with AI. It's
like AI, it seems like AI isonly relevant to people who are
doing something with AI.
People don't understand theapplications for themselves.
Nick (14:17):
The sense that I get is like people are just like, oh, I
need to build an AI companybecause the wave is starting.
And then, like, in a year, I'llhave something that's, like, it
works, and I could sell it tosome bigger corporation and just
cash out. Like, I could justbasically cash in on the wave is
what it feels like to me withthe amount of companies that
there are.
Corey (14:38):
Mhmm. That's only part of it. I think there's a tension
too where, yeah, AI shouldn'tbe, like AI is the equivalent of
talking about what database youuse, or what front end framework
you use, or what CSS frameworkyou use, or that like, it
(14:59):
doesn't really matter. What whatpeople care about is what it
helps them do. They care aboutthe benefit.
They care about the outcome.They care about the money they
save, the things they couldn'tdo before, the transformation of
their business, so on and soforth. But when you're marketing
a product, and especially whenyour product is a new product
that's supposed to havesomething unique to offer to the
(15:22):
world, then yeah, talk about AI.Because that's one of the first
ways you can start tocommunicate why you're different
and how you're unique is now I'mnot just any old CRM, I'm an AI
CRM. So people's ears perk upand they're like, oh, it's
interesting.
What does that mean for me? Andso it it definitely works. It's
(15:44):
a hook talking about AI. But theproblem is that when you don't
back up why someone should beinterested, and when there's no
substance to when people's earsperk up, and then there's just a
bunch of gobbledygook that comesout of your mouth because you
don't really know what theapplications are of AI within a
CRM and why people should careabout it. Then they lose
interests, and they start tobecome skeptical of the next AI
(16:08):
thing that they look as.
Then they're looking at an AIwebsite builder, and now they're
like, okay. Is this anydifferent than our regular
website builder? And then thenext time they feel like it's
not really that different, thenthe next time they go and they
see, you know, AI accountingtool, they're like, okay. This
probably not gonna have anythingnew or different or interesting.
(16:30):
So I'm not even gonna give thisa time of day.
Right?
Nick (16:33):
That's where I am. There we go.
Corey (16:34):
That's where Nick is at today. Exactly. Yeah.
Zach (16:37):
Well Go ahead. And it's like, you're not sure if it will
work. I think it's the bigproblem. It's like you're seeing
and in most cases, it's like,it's a very surface level
application. Like, we can speakhighly in-depth about the AI
website builders out there.
And I can tell you that 99 ofthe stuff that they put out is
(16:58):
not really usable, at least ifyou're a professional. Like,
there are some things that itcan do to help you, like Relooms
site builder and site mapgenerator and site map pulling
systems. Fantastic. Those are AItools. Or if you didn't have a
query in your quiver and youneeded to write copy for a
website for, like, a client thatcan't write copy, then their
(17:20):
tool's fantastic.
But if you're somebody who istrying to create like a
conversion rate optimizedwebsite and you have these very
specific flows that you wantpeople to be able to walk
through, and then you need to beable to go in and tweak and
refine some of the mistakes thatAI has made, a lot of these
tools aren't doing it. And Ifeel like the same kind of
missing the mark in so manysmall ways across the, like, the
(17:45):
result that they give you, italmost makes it a moot point to
try and use it because you'regonna just have to go in and fix
it anyway yourself. I haven'tfound applications yet, and I'm
sure there are some where thistotally takes it off your plate.
I'm sorry. That's not true.
Image generation imagegeneration is one of those
(18:05):
places where I'm like, wow. Thisis really powerful. The fact
that I just created a stockimage with, like, using text as
a reference. And that then I canthen carry it over stylistically
and create branded photos thatdidn't exist before.
Nick (18:20):
And you have a tool that you like what's the what's the
Image one tool that you like?
Zach (18:25):
Visual Electric.
Nick (18:26):
Visual Electric. Yeah. I've seen a bunch of those
images. They're great.
Zach (18:30):
But that's a good that's a really good example of a problem
that somebody wanted to solve,which is I need to create a
image generation tool fordesigners who have very specific
taste, who need things to be onbrand, who have some semblance
of art history, and know how touse a camera, can talk to the or
(18:51):
understand the vernacular oflike, I need this to have a a
low depth of field, or I needthis to be fully in focus. I
need this to have very warm orcool tints. So they they nailed
the like their ICP very well,and then created a an AI tool
that was specifically for them,even though OpenAI and
(19:12):
Midjourney already had imagegenerators that were out there.
But Visual Electric, far andaway, is a better tool than than
those two. Well, there's there'san
Corey (19:22):
even better value proposition there, which is if
you're if you have used a stockimage library or or site like
Unsplash or any of
Zach (19:36):
the other ones like that,
Corey (19:38):
What if you can create your own stock images? That's
the whole value prop right thereis Exactly.
Zach (19:44):
You don't
Corey (19:44):
have to license it. You don't have to get They're
Exactly. No one else can usethem. Like, it it boosts the
value prop in every single wayfrom an unsplash because of AI.
And you really don't even haveto talk about AI.
It's just the value propinsinuates that this is possible
(20:04):
because of AI. Can explain that,right, in in in that. But it
doesn't take long before peoplestart to realize, oh, this is
not possible in an Unsplash orany other stock image library
that I'm gonna find. This isonly possible using an AI stock
image website. Right?
(20:26):
And now that value propositionand that promise has some
substance versus being like,well, how does this help me? And
like, what what does make thisdifferent? Mhmm. And and so
that's that's the thing I thinkpeople really need to realize is
that, what is AI good at? Well,AI is really really good at
(20:48):
remixing things.
AI is really really good atdistilling large amounts of
information. AI is really goodat organizing information. I
mean, you think about howubiquitous AI transcripts are
now. You can take any video fromanywhere in any tool and you can
(21:08):
generate a transcript withinlike five seconds. That's like
even more accurate than what ahuman could do.
Right? That's pretty incredible.The image generation, way better
than than it was before. Even alot of the text generation, it's
really good at generating texts.I use it for copywriting all the
time.
(21:29):
Yeah. There's gonna be somethings that it's not good at.
But again, it's like using acalculator to try to to try to
write a novel. Just don't use itfor that. That's not what it's
strong at.
Use it what it's actually goodfor.
Zach (21:41):
You can write hello in a calculator. Yeah. Or boobs. Or
boobs. Yeah.
Nick (21:47):
That was the joke when we were in middle school.
Corey (21:52):
Yeah. Look at this.
Nick (21:52):
Okay. Well, then here's what I would like to ask. I need
you guys to do your job. K? Goto work.
I need you to revamp the entireAI industry and how they market
to me. And how do they fix allthis stuff that we've been
talking about? And how do they,like, I guess, reposition their
(22:16):
whole thing. Obviously, like,different tools, different
things, whatever. But, like, thebroader idea of, like, how
they're talking to theircustomers and to the general
public.
Like, how does that how do theyfix the problem that we're
talking about?
Zach (22:30):
Couple things I could think of, at least from a
branding perspective. Andthey're all more high level. So
first one is I think that theyall need to drop AI from their
naming conventions andspecifically their top level
brand efforts. There's tworeasons for this. One is that if
you're in a competitive spaceand then all of you have AI
(22:53):
attached to your name, it'sgonna be really difficult to
remember you just from aword-of-mouth perspective.
And talking about it, it doesn'treally create a differentiator
if everybody else is doing it.And then two, you will be
antiquated with the next techwave. Like, whatever's coming
after this, if you have AIattached to your name, they're
like, that's so 2024 and 2025.Like, so you're setting yourself
(23:18):
up to look like a like, it'sjust an old company, you know,
like, AI has become so embeddedinto all of these tools that you
no longer have to communicateyourself, like, in your name as
AI. Especially because it's notlike it's a totally new sector.
Like, you know, Apple was AppleComputer before they jumped into
(23:39):
smartphones. But AI is gonna beso entrenched, like, really soon
that it doesn't really matter.You just have to communicate
your features and then focus onbuilding your brand instead of
tying your tethering your brandto a feature, which is AI. I had
(24:00):
two. I had two.
But Go for it. Okay.
Nick (24:03):
Yeah. What's your other one?
Zach (24:04):
Well, the second one is around image imagery and just
brand distinction. So a lot ofthese AI companies and it's a
problem with not having your ICPnailed is that you have zero
visual influence on the way thatyou show and visualize your
product. And so a lot of theseAI companies look homogenous. I
(24:26):
mean, can even see things likethe amount of company logos that
look exactly like OpenAI's isridiculous. And they all follow
the same shape.
They all have this, like,amorphous gradient, like,
moldable abstract feel to them.And I think that you could
mitigate that if you insteadfocus on an ICP. And imagine if
(24:48):
you were doing AI tools for, youknow, the construction industry,
you would look different than anaicom or a a tool that has AI
features that was doing stufffor people in sports. You know,
like, all of those have verydistinct visuals to them that
you could then apply, but itcomes down to you having a very
focused specialization and a usecase for your tools and the way
(25:12):
that AI is gonna help thosepeople.
Nick (25:15):
Totally agree. I love that. Okay. One quick question
about the removing the AI. IsOpen a better company name than
OpenAI?
Zach (25:25):
Well, they might get a they might get a They might get
a pass.
Nick (25:30):
I was kinda like, maybe it is. Maybe that's kinda cool. I
don't know.
Zach (25:33):
But it's also like I mean, I think that you can discount
first mover advantage on that.Yeah. Because it's like, you
know, they brought it onto thescene. And they probably will
they're also like they're AI isnot a feature of OpenAI. Like,
they are building the thingsthat other companies are using
(25:55):
to then power their AI features.
So it makes sense for them to doit because it's like, well,
dude, like, we made artificialintelligence the thing.
Nick (26:05):
My point was purely speculation. It had nothing to
do with your actual point of,like, dropping. I was just like,
maybe that is a better name. Idon't know. That kinda sounds
cool.
Anyway
Zach (26:14):
Yeah. Well, I I mean Those are great. It leads to so many
other like, people trying toincorporate AI at the end of
their name, and then likecutting off part of their name.
Like, we are, like, Rapture AIor something like that. Or just
let you know.
Nick (26:30):
We're all getting rapture.
Zach (26:31):
Or like, you know, cutting cutting their names and have
like, I I forget. I think therewas somebody who was like,
elevate I or something like youmean like elevate? But with AI?
How? Yeah.
And so you but that I mean,that's a trope among many
(26:53):
industries. Not just AIspecific, but, you know, trying
to merge their name withsomething else. Totally.
Corey (26:59):
Yeah. That I mean, that that really segues into what I
think the the core fundamentalissue, which is that companies
who call themselves AI companiesneed to stop calling themselves
AI companies if they don't makeAI. You make a CRM, not AI. Just
because you're AI CRM doesn'tmean you're AI company. You use
(27:21):
AI to make your CRM better.
And I think that's part of wherethe skepticism comes is that
everyone realizes that all thesecompanies are just g p t
wrappers. And I actually don'tthink that's a bad thing,
because now there are so manydifferent models that you can
pull from that it actually like,the moat is in the application
(27:41):
layer, not in the model layer.So it's fine to be a GPT
wrapper. It's fine to be an AIwrapper. It's fine to be a CRM
that incorporates AI because nowyou get to choose multiple AI
models that you that you pullfrom and incorporate.
But don't call yourself an AIcompany if what you're building
(28:01):
is not proprietary AI, whichalmost no one is building
proprietary AI. There's like,you know, 10 or less companies
that are actually buildingunique differentiated, like
innovative AI products that youcan incorporate. OpenAI's big
innovation actually was justmaking AI an API call away.
(28:24):
That's the whole thing. It wasjust a it's an API that allows
you to use AI to augmentwhatever it is, your data, your
feature, the output ofsomething, whatever it is.
Right? But I think that, likeyou said, if companies were more
honest about how they're usingAI, then they would have to do a
(28:49):
better job of communicating howAI helps their customers beefing
up the features that they'realready providing. Right? And if
they stop doing that, then Ithink people will give them more
credit.
Zach (29:02):
Yep. I mean, it's like if someone was trying to talk to
you, a copywriter, and like,well, we're a copy tool for AI.
Or like, we're an AI copy tool.It's like, well, you're just a
copywriting tool then. Mhmm.
The same thing with design. Andthey can show you a lot more
easily how things benefit you,especially in the way that they
(29:23):
talk about it. Like, hey,writing a blog post takes you
two hours if you're really,really fast. What if we could
cut that time down by 75% andstill get you something that
sounded really good, that was onbrand, that communicated
valuable information, and thenall you had to do was edit it.
You know, those are the kind ofinstances where it's really
(29:45):
valuable.
I think they're they're tryingto hype it up so much that
they're overlooking reallysimple ways to communicate about
themselves that are right infront of their face. Like, hit
the that takes you a long time?Okay. We can make it not take a
long time. Is that cool?
Corey (30:00):
Yeah. Yeah. From from a product marketing perspective, I
think a lot of companies havemade a mistake in calling like
their company, let's just sayNotion for example. We can pick
on them because we actually loveNotion, use them a ton. But I
think that they've kinda made amistake in a way by calling a
new feature Notion AI.
(30:22):
And you have this little guywith a face. I'm looking at him
right here down in the corner. Idon't know if you guys have used
him before or you know
Zach (30:28):
what it
Nick (30:28):
is. I avoid that button like the plague. You know me.
Zach (30:30):
I've used it I've used it for very simple stupid things.
And actually only for personalstuff.
Corey (30:36):
But Right. So so a lot of companies, especially initially,
they they were like, oh, we havean AI feature now. And it's this
little like clippy assistant guywhere you can chat with him, he
can do things for you, yada yadayada. I don't think anyone
really wants that. No one askedfor Clippy.
No one asked for Notion AI. Idon't know very many like use
(31:00):
cases of, you know, imagine likeSalesforce AI or Stripe AI. It's
like, I don't really want tointeract with AI. I just want
all the things that I'm doingwithin this product already to
be done better, quicker, faster,cheaper with AI. And we see that
now with where where AI becomesembedded in all these different
(31:21):
features.
I don't care that it's AI. Iwant AI in every one of the
features. I don't want a featurethat is AI. I just want
everything to be better becauseof AI that's happening in the
background. And that to me iskind of the product marketing
crux of companies using AI andand AI companies, is they're
(31:42):
making the whole feature AIinstead of talking about how
these features are better withAI.
Zach (31:48):
I wonder if they just called it Notion Assistant
instead. If that would Right.
Corey (31:52):
That could be interesting. Be more helpful.
That's what it is. It's anassistant. Mhmm.
An assistant powered by AI.
Zach (31:57):
Well, listen, I'm thinking of my my use case for it, which
was I had a a huge grocery listthat was on my personal Notion
board. And I was like, sort allof these by where I would find
them in a grocery store.
Corey (32:12):
That's such a a male problem. I love that.
Zach (32:16):
And and so it was like, okay. Here's produce, dairy,
meat, and seafood, canned goods,packages. Like, perfect.
Nick (32:26):
Thank you. I was like, I was thinking like about when you
said Salesforce, it's like, wedon't need necessarily, like, a
little chat bubble that's like,okay. Let me see if I can ask
this thing to take all leadsthat come in from this source to
go into this, like, campaign.Like, let me just have, like,
the feature that does the thingwhere it's like, oh, I just go
(32:48):
here and I say, hey. Need leadsource that comes in here that
goes in here and does this.
Like, it should just be afeature. Like, how about you
maybe you use a little, like,help question, and then you
realize, hey. 90% of thequestions that are being asked
right here could just be featurethat is in the software, and we
don't even need this bubble herethat's costing us money and all
this extra time and effort to,like, figure out what's wrong
(33:08):
with it. Why is it broken here?Why is it working here?
Like, let's just take the datait's bringing in and, like, make
it into the product.
Corey (33:14):
Yeah. You know what's really interesting? I I went
into Zapier the other day to fixone of our automations that was
related to when someone books asales call, and then we
automatically create a littleNotion card and pipe in some
information there. So I went into rejigger it, and then I saw
that on the sidebar, because youyou know how Zapier has, they
kind of created this like visualautomation builder Mhmm. UI that
(33:37):
everyone kind of copied whereit's like, you know, action
trigger and there's little plusbuttons in between Yeah.
And so on and so forth.
Nick (33:44):
Great.
Corey (33:44):
And then I saw on the left hand side that there was
like a it was a little chatbubble, little text box, and it
was like, describe what youwanna do and then like, we'll do
it with AI. So I was just like,okay, me just describe what I'm
trying to do here. And so I justtyped in like two sentences and
(34:04):
then it remade the theautomation and and like did it
perfectly. And I was like, thisis actually awesome because that
it just saves me clicking like a100 times. You know what I mean?
And that's really a prettytrivial thing. I just needed to
like update a couple fields andadd a step and and move a couple
(34:27):
things around. And I was like,this this is how every product
should be incorporating AI andtalking about it is, now you
don't have to do the thing. Youjust tell the product what you
want and it does it for you.That to me, I was like, why
isn't Zapier talking about thismore?
Like their product marketingshould be like, you don't have
to build automations anymore.All you have to do is tell it
(34:50):
what you want and then it willbuild the automation for you.
Zach (34:53):
Yeah. I mean, and that's honestly, I feel like the
assistant area there is reallycool too. Because with Zapier,
you could say or you could itcould ask you, like, just a
couple prompted questions, like,what softwares do you use? And
you could list them out, andthen it could return to you
thousands of differentcombinations that you could have
(35:16):
between all of those differentprograms. Things that you might
not have even thought of before.
So Right. Yeah. But that shouldbe something like, I wouldn't
need to know that this is an AIassistant that's gonna help me
with it. It could just be aprompt. A a pop up modal.
It's like, softwares are youusing? Boom boom boom boom boom
boom boom. Great. We can create30 different automations for you
(35:38):
right now. Would you like that?
Nick (35:40):
It's a messaging problem. Because I guarantee, like,
Corey, if you click that thingand it was like, try to wrap
your AI. Like, type in what youwant. Right? Like, you would've
kinda been like, just start atclose close close close it.
Like, but because it was like,just tell us what you need and
we'll do it. That was basicallyall it said. You were like, oh,
let me just see what it does.You know? But if it was like
(36:02):
all, you know, bright flashing,you know, Vegas lights, we are
AI now, like, you would havebeen like, screw you.
I'm done. You know?
Zach (36:10):
Be a little so I think that one of the big things is
maybe being a little bit moresubtle with the AI. And this was
because this was the problemthat blockchain had. If
blockchain had just been doneunder the hood, and behind the
scenes, like, one needs to knowhow it works. Just, like, give
them the freaking result thatthey're after.
Nick (36:28):
That's exactly The the website builder is interesting.
Same problem with messaging.Like, I if I landed on a landing
page that was like, we are theAI website builder, I would
immediately close it. But if Ilanded on a page that was like,
we'll help you build websitesfaster, be like, what? How?
Like, I would immediately say,how? Like, let me see what what
(36:49):
do you how does that actuallywork? And like, I wanna see a
demo of like how this actuallytakes place. But like
Zach (36:54):
That's a
Nick (36:54):
just using the different phrasing is like, ruins it.
Zach (36:58):
That's another thing too, is there's a lot of there's a
substantial lack of proof byform of case studies of, you
know, consumer reviews, andthen, like, and real consumer
reviews, not ones that are madeby AI, like actual use cases for
how this thing works. Becausethat's one of the main things
with the product marketing isthat people don't they can't see
(37:20):
themselves getting benefit fromthe product, mainly because they
don't show substantial proof of,well, this is how this company
saved twenty thousand hours aweek across their their entire
workforce by using our platform.Like, those are sizable numbers
(37:41):
that people should be focusingon, and the the way to
demonstrate them. It's not newtactics. It's just actually
showing people the results thatthey could expect to see from
this.
So they could then understandhow it might be transposed to to
their situation.
Corey (37:59):
Mhmm. Yeah. Yeah. It's it's kinda sad, but I also feel
like it's a huge opportunity.Because I feel like most
companies are fumbling the bagon how to market their AI
capabilities really really well.
You take a company like VisualElectric, for example, I haven't
actually looked at theirhomepage, but if they took the
approach of most startups today,their headline would be like,
(38:23):
the visual AI image automationplatform or something like that.
And you'd be like, I don't knowwhat that means at all. And then
the whole rest of the page wouldjust be like, look at this cool
thing. Look at this cool thing.Look at this cool thing.
All they need to say is like,remember when you used to look
through stock photos for hoursand then have to pay a dollar
(38:47):
every time someone viewed thatstock image? Like, those days
are gone. Now, make your ownstock images perfectly tailored
for you for free.
Nick (38:57):
Is that true? It's a
Zach (38:59):
camera for your mind. Oh. What? But the funny thing is the
funny thing is, I feel like whenI signed up for it last year,
that's not what it said. I thinkit was something else.
Nick (39:14):
Camera for your mind. Who did they hire?
Corey (39:16):
Yeah. The
Zach (39:20):
the thing is is that the their subhead is perfect, which
is bring your vision to lifewith VisualElectric, the first
image generator built fordesigners.
Corey (39:30):
Not bad. Great. Yeah. Not bad.
Zach (39:31):
Yeah. And well, I mean, they're missing a couple other
things. Like, you know, it'd becool if they had some objection
busters. And, I mean, with thisuse case in particular, they'd
benefit from a little bit moreof a shift in layout from being
centered to having a left rightalignment. Because if I could
just see, like, what the projectwas doing, that'd be fantastic.
Right. Granted, I'll scroll. Buttheir h two is never used on
(39:56):
their stock photo. So likethey're immediately getting into
the problem, which which aregreat. Yeah.
A little bit more features, buthighly specific ones. So things
like never use another stockphoto, create realistic mock
ups, that's a cool thing thatthis really powerful for
designers. Style library,they're hitting you with really
(40:18):
really good features, whichagain, this is why this is a
good use case for AI in a veryvery very specific sector and
hitting on specific problems.Because every single thing that
they are mentioning is a problemthat designers have. Specific
even within other comparing itto other image generators is
(40:40):
that I didn't have all theseother things like their art
director, where you have theability to change the way a
photo looks.
Collaboration, another big deal.Yeah. So I mean, they could have
done a little bit more. And butthis also it's also really cool
because then it opened up into abunch of other integrations
streams that were reallyeffective for them. Like, they
(41:02):
have a Figma plugin, they have aFramer plugin, and they have a
Webflow plugin.
All of which, like, the veryvery narrow focus instead of
like, it plugs into whatever youwant. It's like Yeah. You're not
gonna need a Visual Electric tiein to Gmail.
Corey (41:18):
Yeah. Right. But my point too is that, if you're
incorporating AI into your intoyour product, there's such an
amazing opportunity right now tobe like, hey, remember this
thing that you've doing for thelast ten years this way? Now,
you can do it in a completelydifferent way that's 10 times
(41:39):
easier, faster, cheaper, andbetter. And here's how.
Like that window is closing.We're probably gonna have that
window for the next couple ofyears ish, and then it's gonna
be incorporated into everystartup and every product ever,
because that's what everyone'sworking right now is
incorporating AI. And thenthat's gonna become the new
(42:00):
normal. And then everyone's justgonna be used to like, oh, okay.
Yeah.
So like, how is your AI CRMdifferent than this other AI CRM
different from this other AI Andthat but we're not even gonna be
calling them AI CRMs by then.There's just gonna be, how is
your CRM better than your CRMbetter than your CRM? And right
now, there's such an amazingopportunity to say, hey, we're
(42:23):
incorporating AI in very veryspecific ways that allow you to
go from this to this, before andafter. You used to do it this
way, now you can do it that way.And if they just paint that
picture with the before andafter, and you used to do it
this way, now you can do it thisway, that's better.
(42:43):
It would click in people's mindsso much faster. But instead, all
the emphasis is just on thislike gobbledygook jargon,
talking about the technology andall the different possibilities
and synergies and meaninglesswords.
Nick (42:59):
I have bad news, Zach. I know you love Visual Electric,
but their site is built onFramer. And like many sites
built on Framer, they actuallyhave five h ones. So the h two
you mentioned is actually a hone. It's their second h one.
Mhmm. Whoops. Yeah. A camera foryour mind I don't know. I Sorry.
(43:20):
I had to cut you off. I was likejust waiting for the spot to
tell you that your H 2 isactually at H 1.
Zach (43:26):
Well, I mean, I didn't inspect any elements on here. I
was just Yeah.
Nick (43:29):
What they That's the the web head in me. I just can't
help it. Okay. We've we've beatthe horse as about as much as I
think we should for now. So ifthere's no final thoughts, I
will end with my last my lastlittle baby question, which is
what are the odds that the .comdomains are overtaken by
(43:55):
something like a .ai or a dotsomething else?
Will .com ever be dethroned?
Zach (44:03):
I think .com Ever? Is well, I think .com is useless
right now. Because what it stoodfor was .commerce. And this is
when the like, know, with the.com boom, it was all about,
know, oh, you can just, youknow, you buy shit online or you
conduct business online andcommerce online. But now, it
(44:27):
like, the the domain that youuse doesn't really matter with
the exception of certain usecases like if you have a .gov or
a .us.
So I don't think that .comsmatter anymore. I would not use
a .ai unless you were, like,unless you were doing something
cool where that played into youryour brand name. Like, if your
(44:49):
brand name ended in ai, thatcould be the only instance I
would think of where it's like,that's highly relevant. Because
again, it you're going to lookantiquated, you know, like,
moving forward. And no onereally cares like what your
domain value.
Nick (45:03):
Like the domain cost. Like the king willalwaysbe.com.
Corey (45:09):
Yes. Well, of course, it says yes. Yeah. I think so. I
don't see the Internet movingaway from from from those types,
like, we have to use these TLDs,these top level domains, these
little, you know, extensions ofthe names.
And it'll always be like thefirst thing in people's mind
(45:32):
that are like, oh,conversionfactory, is it
conversionfactory.com? Andthey're like, oh, it's
conversionfactory.co.co.
Nick (45:39):
Yeah. I I hate that.
Corey (45:40):
It'll always be .com is the first thing people come to
mind, and as long as it's thefirst thing that comes to mind,
it'll always be the most covetedTLD. And I think and I think dot
AI is gonna look integrated, youknow, sooner rather than later.
We saw the same thing with .io,and what was the popular crypto
(46:01):
one? It was like wasn't .xyz.
Zach (46:05):
Was No. Well, it wasn't .xyz. I thought I feel like
crypto had the dot Like, theythat was really popular with dot
before.
Corey (46:16):
That was like the first wave of startups in like the
February. A lot of them were dotor started as io. And then
eventually moved to .com. Iactually think that like
brandable.coms and brandablenames in general are like kind
of the final frontier. Likepeople are realizing that that's
(46:42):
there it's just so scarce.
There's only so many words anddomains that are good. And so,
everyone wants the best of thebest.
Nick (46:55):
True. It's a whole another topic.
Zach (46:56):
Yeah. A whole another topic.
Nick (46:57):
I was just it was a simple question. Okay. To be fair. No.
That was great.
Thank you, guys. We solved theproblem of AI. It's done. I'll
never be bothered by it again.Okay.
Thank you guys for listening tothe factory floor. We will see
you next time.
Zach (47:14):
Later. Bye.
Okay. Ladies and gentlemen, geeks, welcome to the
factory floor. I am Nick Loudon,your host. I'm joined with by
Corey Haynes and Zach Stevens.Corey Haynes is our resident
marketer, Zach, our residentdesigner.
I'm your resident web flow head,and we are gonna be talking
(00:27):
about my absolute favoritetopic. Gentlemen, are you ready?
We're talking about and no oneelse is talking about this.
Okay? No one.
AI. Have you heard of this?
Corey (00:39):
What what does this stand for?
Zach (00:41):
I've heard of IA, but is it any any relation?
Nick (00:46):
I have no idea.
Zach (00:48):
Okay. Just
Nick (00:49):
making a Artificial choice because intelligence. You've
heard of this.
Corey (00:53):
Well, you know, we know basketball. Zach doesn't really
know who Allen Iverson is, butwe could talk we can talk AI.
Nick (01:00):
AI, Andre Gonzalez. So we're gonna talk about AI, which
is do you guys know I have likea little a soft spot for hating
AI? I guess it's not really asoft spot.
Corey (01:12):
With AI.
Nick (01:13):
Yeah. I have a Why
Corey (01:14):
don't you tell us what your hate with AI is? Mhmm.
Nick (01:16):
Okay. So that that will be the launching point for what I
think we should talk about. Iit's not that I don't like what
AI is. I don't like how muchpeople talk about it, if that
makes sense. Like, there's Ifeel like I can't go into any,
like, conversation or readanything on Twitter or go to
(01:38):
any, like, sales call withouthearing something about AI,
whether it's their entirebusiness or some new features.
Like, all new features must haveAI. And if they don't, your
business is irrelevant. And it'slike it's like when COVID was
happening, and it was, like,maybe, like, November 2020. So
we're, like, six months in. AndI was like, just we can talk
(02:03):
about what's happening withCOVID, but don't say the word
COVID.
I don't want you to say theword. Like, I that word hurts to
hear. That's how I feel aboutAI. And it's because a lot
honestly, a lot of the stuff, Idon't even know, like, what the
business is. Like, if I'mreading a tweet about AI, like,
this new company is doing thiswith AI, like, I'm, like, this
is just it might as well just begibberish or Wingdings, my
(02:27):
favorite font.
I have no idea what they'retalking about. So could you
explain to me why I feel thisway?
Corey (02:36):
Mhmm.
Zach (02:39):
No. Well, I mean, you're not wrong. I think that one of
the one of the core things thatis that's a problem with AI is,
I mean, you could title noteveryone, but there are some who
definitely hold the position oflike everything, everywhere, all
at once for anybody at any timeat any place. And it's like, it
(03:00):
it's too much. You can't there'sno specificity to it, so it's
impossible to understand itsrelevance to you.
It's almost like it it becomewhen people talk about AI,
specifically within the realm oftheir product, becomes so
ethereal and nebulous that youhave no idea, like, what's the
concrete benefit and action thatI have to take that this enables
me to do. That's not always thecase, but that is it's a big
(03:24):
problem that I think we've seen,particularly with some of the
larger AI companies, or at leastthe ones that have tried to,
like, you know, more just playthe hype game, and throw the
jargon out there with the hopesof getting like a lot of
fundraising money, and they'llprobably pump and dump, and
they're out.
Corey (03:41):
Yeah. Well, Nick, I think your perspective is interesting,
because I think that what you'refeeling is actually what like
90% of everybody else isfeeling, which is you don't
really know what AI means, andit's being, like, hyped and
overused so much that becomesmeaningless. And basically, just
this, like, this talking pointwhere everybody is saying AI
(04:05):
because they're expected to sayAI and expected to work on
something related to AI, and andeverybody knows everything about
AI, so that makes you cool andrelevant and and and on trend.
Nick (04:16):
Can I color my thought more? Sure. It's like it's like
if I was a dairy farmer, and Idiscovered milk, and everyone's,
like, hearing about milk, andI'm, like, listen, man. You
gotta use the milk, and you'llget milk to have milk. And
everyone's like, oh, it's justlike this circular, like, like,
it's just one word, and like thesame word points to the same
(04:38):
thing and goes in a big circle.
Sorry. I cut you off. But I justI never get to like the meat of
it. Sorry. I cut rated your themiddle of your thought.
I just like couldn't keep thatin my brain any longer.
Corey (04:49):
No. Yeah. I think I think you have a good point because a
lot of people well, it's sofunny because I was just
snowboarding with my brother,and my my nephew is with us.
He's, I think, 14 or 15 now. Asuper super smart kid.
And now AI has has has enteredinto the mainstream awareness
(05:10):
and vernacular. But the problemis that they have no idea what
it is or how it works. So he waslike, AI is so stupid because it
can't do math and it gets mathwrong. And I was like, yeah,
that's a really goodobservation. Like, you're
totally right.
And I was like, do you know why?And he's like, it's AI. Isn't it
supposed to just like knoweverything and be like smarter
(05:31):
than us? I was like, well, yeah,kind of, but actually what we
say is AI is machine learning,which is essentially like
pattern recognition applied toLLMs, large language models,
which is really like a giantcorpus of text and information
that something is uploaded ascontext. And then we've created
(05:55):
a technology that makes use ofLLMs to predictively generate
text off of those LLMs.
And so it's not trained on math.It's not trained to do math
really well. Math is already asolved problem anyways. Like,
have calculators that get theanswer right every single time
no matter how complex theproblem is. What we haven't
(06:18):
solved is text generation, andimage generation, and video
generation, you know, mediageneration as a whole.
And that's what AI really excelsat. And the applications are
really far reaching because thisis something we've never been
able to crack. But it really hasthe same story and life cycle as
(06:39):
math and calculators. Where Iwas like, as soon as we had this
amazing technology to run allthese complex equations, Then we
started sending people to spaceand we started, you know,
solving all these things thatmade physics and simulations for
airplanes and, you know, reallyreally fine cut metals and
(07:03):
predicting the weather and andand, you know, knowing about
space and the aerodynamics, andthat's all the application of
math. So the application of AIis going to be, I think, kind of
a similar revolution, but peopledon't realize the kind
Zach (07:18):
of level of breakthrough and and what it really means.
Yeah. I think more they don'tunderstand what problems it
could potentially solve forthem. I think that that's the
the main issue. And that's theproblem that we see with a lot
of the companies that aremarketing it, is that they
aren't able to attribute thecool features and solutions that
their AI is capable of to thatit problems that people actually
(07:42):
wanna solve.
We've seen we've seen a coupleuse cases of it, like I mean,
one of our long time clients,Sensible, I thought that was a
really good use case for AI,which was the extraction of
uploaded printed like, printdocuments, and then transposing
that into segmented data. So,like, JSON files or Python
(08:06):
files, where it was doingoptical character recognition
and then pulling all the datafrom it, and then making it
something that a developer couldactually use. You know, like,
that's that's a real problem.Like, a developer having to go
through and manually pull all ofthat data from, like, a a PDF
and have to guess likesomebody's handwriting. Where if
they saved 90% of their manhours trying to do that, that's
(08:28):
a a very useful problem tosolve.
Hyperspecific. But again, likeputting putting a solution to a
problem as opposed to, like,just the thing itself, like AI.
So
Nick (08:42):
I guess the question is like, why how come, you know,
95% of all the marketing aroundAI companies that I see, whether
it's someone tweeting about itor someone's website or whatever
it is, is all, like, thiscircular pattern? Like, how why
(09:03):
are they not, like, figuring outlike, hey, how do we like market
this product? Like, why aren'tthey able to do that?
Corey (09:11):
The AI is cool. Answer that question yet.
Nick (09:14):
You don't even know.
Corey (09:15):
No. No. Seriously.
Nick (09:17):
Dude, I don't wanna know either.
Corey (09:19):
I don't know if you guys saw, but YC just put out Y
Combinator just put out arequest for startups, and they
do this every year. So back in,you know, 2020 through 2022 is a
lot of it was like blockchainand crypto and web three
related. Mhmm. And they'realways gonna be on trend. Right?
And so this year, their requestfor startups were all AI
(09:39):
related. And so they had allthese specific I think they had
like 15 different startup ideasthat were all incorporating AI.
And this is what people do. Thisis what a lot of founders do, is
they start with sort of anapplication or a business
problem, And then they say, howcan we apply AI to this to
(10:01):
disrupt this industry, to dothings better, faster, quicker,
or cheaper? But they don't knowexactly what that looks like.
And so the best that they cancome up with is, we're a AI CRM.
We're an AI website builder.We're a AI x y and z. But they
don't know the implications ofwhat that's gonna do for people,
(10:24):
why people should care aboutthat, let alone how to
communicate those things. Sowhat do they slap on their
website?
We're the AI CRM. Well, whatdoes that actually mean for
people? Why would I care aboutan AI CRM? How is a AI CRM
better than a non AI CRM?They're still trying to answer
(10:44):
that question.
Now, we'll get there, but we'reso early in the life cycle still
that people aren't starting withthe, okay, here's what the end
goal that I want to achievebecause we don't really know.
Well, we do. People are figuringit out. I'm just saying,
especially very early stagestartups, they don't know what
(11:04):
the what the the purpose oftheir startup is yet. They just
know that maybe there'ssomething to be had here with
applying AI to whatever businessapplication they're they're
trying to apply it to.
Nick (11:23):
I I were you gonna say something, Zach?
Zach (11:25):
No. Go for it.
Nick (11:27):
I was gonna say, like, I would like to put the disclaimer
out. I am not anti AI. I think
Corey (11:33):
Yes, you are. It's okay to be.
Nick (11:34):
No. No. No. No. No.
That's not true.
Zach (11:36):
He's He uses I
Nick (11:39):
am not anti AI. I'm just I'm just tired. Like, I'm just
tired of, like, the way it'sbeing marketed and how much it's
being talked about. Like, I likethe products. Some of well, I
like some of the products thatare coming out that are
surrounding AI.
Like, I think when, like, fromthe a like, what was it? Like,
(11:59):
almost two years ago that, like,ChatGPT was, like, released or
whatever to the for all ofeveryone could just use. And I
remember, like, seeing, like,just a video. So I mean, like,
check this out. Like, I'mtalking to Abraham Lincoln.
And that was, like, the coolthing you could do on chat GBT.
But, like and I was like, youknow, this is great. And I'm I'm
fine with what AI does and howit's been changing the tech
(12:24):
industry. I'm just like, I'mjust getting like burnt out from
Right. The excess and the amountthat's going on.
Zach (12:33):
I think we saw a similar problem. And I mean, it it I
feel like people should justlook back four years ago, like
to what YC was doing in 2020with all the blockchain and web
three stuff. Because the sameproblems are surfacing, which is
they're putting so much emphasison this feature and the
mechanism rather than thebenefit of it. And the benefits
(12:54):
are really cool, but the problemis that when you put so much
focus on it, then you actuallylose sight of those benefits.
And then people become skepticalof like, oh, that's just like a
a Ponzi scheme, you know, peopletrying to get in and raise a
bunch of money and or, you know,go public without having a
product, and then dump theirstock and and leave.
(13:14):
And then you get weird things aswell, like, that have legit
application, like, with NFTs.There's a 100% legitimate
application for non fungibletokens of, like, proof of of of
certification of proof, oftransfer of ownership, of all
those other things that arehighly valuable, but then we got
(13:35):
it being used to buy Bored eightJPEGs. That's an art. This isn't
a bad thing either. You know,there's there's good reason to
have that kind of applicationand ownership and be record of
it.
But that's what the generalpublic ends up seeing. And then
they become skeptical, like,well, this just sounds stupid.
(13:58):
It's like a a circle jerk foreverybody who's inside of this
nebulous of blockchain. And nowit's happening with AI. It's
like AI, it seems like AI isonly relevant to people who are
doing something with AI.
People don't understand theapplications for themselves.
Nick (14:17):
The sense that I get is like people are just like, oh, I
need to build an AI companybecause the wave is starting.
And then, like, in a year, I'llhave something that's, like, it
works, and I could sell it tosome bigger corporation and just
cash out. Like, I could justbasically cash in on the wave is
what it feels like to me withthe amount of companies that
there are.
Corey (14:38):
Mhmm. That's only part of it. I think there's a tension
too where, yeah, AI shouldn'tbe, like AI is the equivalent of
talking about what database youuse, or what front end framework
you use, or what CSS frameworkyou use, or that like, it
(14:59):
doesn't really matter. What whatpeople care about is what it
helps them do. They care aboutthe benefit.
They care about the outcome.They care about the money they
save, the things they couldn'tdo before, the transformation of
their business, so on and soforth. But when you're marketing
a product, and especially whenyour product is a new product
that's supposed to havesomething unique to offer to the
(15:22):
world, then yeah, talk about AI.Because that's one of the first
ways you can start tocommunicate why you're different
and how you're unique is now I'mnot just any old CRM, I'm an AI
CRM. So people's ears perk upand they're like, oh, it's
interesting.
What does that mean for me? Andso it it definitely works. It's
(15:44):
a hook talking about AI. But theproblem is that when you don't
back up why someone should beinterested, and when there's no
substance to when people's earsperk up, and then there's just a
bunch of gobbledygook that comesout of your mouth because you
don't really know what theapplications are of AI within a
CRM and why people should careabout it. Then they lose
interests, and they start tobecome skeptical of the next AI
(16:08):
thing that they look as.
Then they're looking at an AIwebsite builder, and now they're
like, okay. Is this anydifferent than our regular
website builder? And then thenext time they feel like it's
not really that different, thenthe next time they go and they
see, you know, AI accountingtool, they're like, okay. This
probably not gonna have anythingnew or different or interesting.
(16:30):
So I'm not even gonna give thisa time of day.
Right?
Nick (16:33):
That's where I am. There we go.
Corey (16:34):
That's where Nick is at today. Exactly. Yeah.
Zach (16:37):
Well Go ahead. And it's like, you're not sure if it will
work. I think it's the bigproblem. It's like you're seeing
and in most cases, it's like,it's a very surface level
application. Like, we can speakhighly in-depth about the AI
website builders out there.
And I can tell you that 99 ofthe stuff that they put out is
(16:58):
not really usable, at least ifyou're a professional. Like,
there are some things that itcan do to help you, like Relooms
site builder and site mapgenerator and site map pulling
systems. Fantastic. Those are AItools. Or if you didn't have a
query in your quiver and youneeded to write copy for a
website for, like, a client thatcan't write copy, then their
(17:20):
tool's fantastic.
But if you're somebody who istrying to create like a
conversion rate optimizedwebsite and you have these very
specific flows that you wantpeople to be able to walk
through, and then you need to beable to go in and tweak and
refine some of the mistakes thatAI has made, a lot of these
tools aren't doing it. And Ifeel like the same kind of
missing the mark in so manysmall ways across the, like, the
(17:45):
result that they give you, italmost makes it a moot point to
try and use it because you'regonna just have to go in and fix
it anyway yourself. I haven'tfound applications yet, and I'm
sure there are some where thistotally takes it off your plate.
I'm sorry. That's not true.
Image generation imagegeneration is one of those
(18:05):
places where I'm like, wow. Thisis really powerful. The fact
that I just created a stockimage with, like, using text as
a reference. And that then I canthen carry it over stylistically
and create branded photos thatdidn't exist before.
Nick (18:20):
And you have a tool that you like what's the what's the
Image one tool that you like?
Zach (18:25):
Visual Electric.
Nick (18:26):
Visual Electric. Yeah. I've seen a bunch of those
images. They're great.
Zach (18:30):
But that's a good that's a really good example of a problem
that somebody wanted to solve,which is I need to create a
image generation tool fordesigners who have very specific
taste, who need things to be onbrand, who have some semblance
of art history, and know how touse a camera, can talk to the or
(18:51):
understand the vernacular oflike, I need this to have a a
low depth of field, or I needthis to be fully in focus. I
need this to have very warm orcool tints. So they they nailed
the like their ICP very well,and then created a an AI tool
that was specifically for them,even though OpenAI and
(19:12):
Midjourney already had imagegenerators that were out there.
But Visual Electric, far andaway, is a better tool than than
those two. Well, there's there'san
Corey (19:22):
even better value proposition there, which is if
you're if you have used a stockimage library or or site like
Unsplash or any of
Zach (19:36):
the other ones like that,
Corey (19:38):
What if you can create your own stock images? That's
the whole value prop right thereis Exactly.
Zach (19:44):
You don't
Corey (19:44):
have to license it. You don't have to get They're
Exactly. No one else can usethem. Like, it it boosts the
value prop in every single wayfrom an unsplash because of AI.
And you really don't even haveto talk about AI.
It's just the value propinsinuates that this is possible
(20:04):
because of AI. Can explain that,right, in in in that. But it
doesn't take long before peoplestart to realize, oh, this is
not possible in an Unsplash orany other stock image library
that I'm gonna find. This isonly possible using an AI stock
image website. Right?
(20:26):
And now that value propositionand that promise has some
substance versus being like,well, how does this help me? And
like, what what does make thisdifferent? Mhmm. And and so
that's that's the thing I thinkpeople really need to realize is
that, what is AI good at? Well,AI is really really good at
(20:48):
remixing things.
AI is really really good atdistilling large amounts of
information. AI is really goodat organizing information. I
mean, you think about howubiquitous AI transcripts are
now. You can take any video fromanywhere in any tool and you can
(21:08):
generate a transcript withinlike five seconds. That's like
even more accurate than what ahuman could do.
Right? That's pretty incredible.The image generation, way better
than than it was before. Even alot of the text generation, it's
really good at generating texts.I use it for copywriting all the
time.
(21:29):
Yeah. There's gonna be somethings that it's not good at.
But again, it's like using acalculator to try to to try to
write a novel. Just don't use itfor that. That's not what it's
strong at.
Use it what it's actually goodfor.
Zach (21:41):
You can write hello in a calculator. Yeah. Or boobs. Or
boobs. Yeah.
Nick (21:47):
That was the joke when we were in middle school.
Corey (21:52):
Yeah. Look at this.
Nick (21:52):
Okay. Well, then here's what I would like to ask. I need
you guys to do your job. K? Goto work.
I need you to revamp the entireAI industry and how they market
to me. And how do they fix allthis stuff that we've been
talking about? And how do they,like, I guess, reposition their
(22:16):
whole thing. Obviously, like,different tools, different
things, whatever. But, like, thebroader idea of, like, how
they're talking to theircustomers and to the general
public.
Like, how does that how do theyfix the problem that we're
talking about?
Zach (22:30):
Couple things I could think of, at least from a
branding perspective. Andthey're all more high level. So
first one is I think that theyall need to drop AI from their
naming conventions andspecifically their top level
brand efforts. There's tworeasons for this. One is that if
you're in a competitive spaceand then all of you have AI
(22:53):
attached to your name, it'sgonna be really difficult to
remember you just from aword-of-mouth perspective.
And talking about it, it doesn'treally create a differentiator
if everybody else is doing it.And then two, you will be
antiquated with the next techwave. Like, whatever's coming
after this, if you have AIattached to your name, they're
like, that's so 2024 and 2025.Like, so you're setting yourself
(23:18):
up to look like a like, it'sjust an old company, you know,
like, AI has become so embeddedinto all of these tools that you
no longer have to communicateyourself, like, in your name as
AI. Especially because it's notlike it's a totally new sector.
Like, you know, Apple was AppleComputer before they jumped into
(23:39):
smartphones. But AI is gonna beso entrenched, like, really soon
that it doesn't really matter.You just have to communicate
your features and then focus onbuilding your brand instead of
tying your tethering your brandto a feature, which is AI. I had
(24:00):
two. I had two.
But Go for it. Okay.
Nick (24:03):
Yeah. What's your other one?
Zach (24:04):
Well, the second one is around image imagery and just
brand distinction. So a lot ofthese AI companies and it's a
problem with not having your ICPnailed is that you have zero
visual influence on the way thatyou show and visualize your
product. And so a lot of theseAI companies look homogenous. I
(24:26):
mean, can even see things likethe amount of company logos that
look exactly like OpenAI's isridiculous. And they all follow
the same shape.
They all have this, like,amorphous gradient, like,
moldable abstract feel to them.And I think that you could
mitigate that if you insteadfocus on an ICP. And imagine if
(24:48):
you were doing AI tools for, youknow, the construction industry,
you would look different than anaicom or a a tool that has AI
features that was doing stufffor people in sports. You know,
like, all of those have verydistinct visuals to them that
you could then apply, but itcomes down to you having a very
focused specialization and a usecase for your tools and the way
(25:12):
that AI is gonna help thosepeople.
Nick (25:15):
Totally agree. I love that. Okay. One quick question
about the removing the AI. IsOpen a better company name than
OpenAI?
Zach (25:25):
Well, they might get a they might get a They might get
a pass.
Nick (25:30):
I was kinda like, maybe it is. Maybe that's kinda cool. I
don't know.
Zach (25:33):
But it's also like I mean, I think that you can discount
first mover advantage on that.Yeah. Because it's like, you
know, they brought it onto thescene. And they probably will
they're also like they're AI isnot a feature of OpenAI. Like,
they are building the thingsthat other companies are using
(25:55):
to then power their AI features.
So it makes sense for them to doit because it's like, well,
dude, like, we made artificialintelligence the thing.
Nick (26:05):
My point was purely speculation. It had nothing to
do with your actual point of,like, dropping. I was just like,
maybe that is a better name. Idon't know. That kinda sounds
cool.
Anyway
Zach (26:14):
Yeah. Well, I I mean Those are great. It leads to so many
other like, people trying toincorporate AI at the end of
their name, and then likecutting off part of their name.
Like, we are, like, Rapture AIor something like that. Or just
let you know.
Nick (26:30):
We're all getting rapture.
Zach (26:31):
Or like, you know, cutting cutting their names and have
like, I I forget. I think therewas somebody who was like,
elevate I or something like youmean like elevate? But with AI?
How? Yeah.
And so you but that I mean,that's a trope among many
(26:53):
industries. Not just AIspecific, but, you know, trying
to merge their name withsomething else. Totally.
Corey (26:59):
Yeah. That I mean, that that really segues into what I
think the the core fundamentalissue, which is that companies
who call themselves AI companiesneed to stop calling themselves
AI companies if they don't makeAI. You make a CRM, not AI. Just
because you're AI CRM doesn'tmean you're AI company. You use
(27:21):
AI to make your CRM better.
And I think that's part of wherethe skepticism comes is that
everyone realizes that all thesecompanies are just g p t
wrappers. And I actually don'tthink that's a bad thing,
because now there are so manydifferent models that you can
pull from that it actually like,the moat is in the application
(27:41):
layer, not in the model layer.So it's fine to be a GPT
wrapper. It's fine to be an AIwrapper. It's fine to be a CRM
that incorporates AI because nowyou get to choose multiple AI
models that you that you pullfrom and incorporate.
But don't call yourself an AIcompany if what you're building
(28:01):
is not proprietary AI, whichalmost no one is building
proprietary AI. There's like,you know, 10 or less companies
that are actually buildingunique differentiated, like
innovative AI products that youcan incorporate. OpenAI's big
innovation actually was justmaking AI an API call away.
(28:24):
That's the whole thing. It wasjust a it's an API that allows
you to use AI to augmentwhatever it is, your data, your
feature, the output ofsomething, whatever it is.
Right? But I think that, likeyou said, if companies were more
honest about how they're usingAI, then they would have to do a
(28:49):
better job of communicating howAI helps their customers beefing
up the features that they'realready providing. Right? And if
they stop doing that, then Ithink people will give them more
credit.
Zach (29:02):
Yep. I mean, it's like if someone was trying to talk to
you, a copywriter, and like,well, we're a copy tool for AI.
Or like, we're an AI copy tool.It's like, well, you're just a
copywriting tool then. Mhmm.
The same thing with design. Andthey can show you a lot more
easily how things benefit you,especially in the way that they
(29:23):
talk about it. Like, hey,writing a blog post takes you
two hours if you're really,really fast. What if we could
cut that time down by 75% andstill get you something that
sounded really good, that was onbrand, that communicated
valuable information, and thenall you had to do was edit it.
You know, those are the kind ofinstances where it's really
(29:45):
valuable.
I think they're they're tryingto hype it up so much that
they're overlooking reallysimple ways to communicate about
themselves that are right infront of their face. Like, hit
the that takes you a long time?Okay. We can make it not take a
long time. Is that cool?
Corey (30:00):
Yeah. Yeah. From from a product marketing perspective, I
think a lot of companies havemade a mistake in calling like
their company, let's just sayNotion for example. We can pick
on them because we actually loveNotion, use them a ton. But I
think that they've kinda made amistake in a way by calling a
new feature Notion AI.
(30:22):
And you have this little guywith a face. I'm looking at him
right here down in the corner. Idon't know if you guys have used
him before or you know
Zach (30:28):
what it
Nick (30:28):
is. I avoid that button like the plague. You know me.
Zach (30:30):
I've used it I've used it for very simple stupid things.
And actually only for personalstuff.
Corey (30:36):
But Right. So so a lot of companies, especially initially,
they they were like, oh, we havean AI feature now. And it's this
little like clippy assistant guywhere you can chat with him, he
can do things for you, yada yadayada. I don't think anyone
really wants that. No one askedfor Clippy.
No one asked for Notion AI. Idon't know very many like use
(31:00):
cases of, you know, imagine likeSalesforce AI or Stripe AI. It's
like, I don't really want tointeract with AI. I just want
all the things that I'm doingwithin this product already to
be done better, quicker, faster,cheaper with AI. And we see that
now with where where AI becomesembedded in all these different
(31:21):
features.
I don't care that it's AI. Iwant AI in every one of the
features. I don't want a featurethat is AI. I just want
everything to be better becauseof AI that's happening in the
background. And that to me iskind of the product marketing
crux of companies using AI andand AI companies, is they're
(31:42):
making the whole feature AIinstead of talking about how
these features are better withAI.
Zach (31:48):
I wonder if they just called it Notion Assistant
instead. If that would Right.
Corey (31:52):
That could be interesting. Be more helpful.
That's what it is. It's anassistant. Mhmm.
An assistant powered by AI.
Zach (31:57):
Well, listen, I'm thinking of my my use case for it, which
was I had a a huge grocery listthat was on my personal Notion
board. And I was like, sort allof these by where I would find
them in a grocery store.
Corey (32:12):
That's such a a male problem. I love that.
Zach (32:16):
And and so it was like, okay. Here's produce, dairy,
meat, and seafood, canned goods,packages. Like, perfect.
Nick (32:26):
Thank you. I was like, I was thinking like about when you
said Salesforce, it's like, wedon't need necessarily, like, a
little chat bubble that's like,okay. Let me see if I can ask
this thing to take all leadsthat come in from this source to
go into this, like, campaign.Like, let me just have, like,
the feature that does the thingwhere it's like, oh, I just go
(32:48):
here and I say, hey. Need leadsource that comes in here that
goes in here and does this.
Like, it should just be afeature. Like, how about you
maybe you use a little, like,help question, and then you
realize, hey. 90% of thequestions that are being asked
right here could just be featurethat is in the software, and we
don't even need this bubble herethat's costing us money and all
this extra time and effort to,like, figure out what's wrong
(33:08):
with it. Why is it broken here?Why is it working here?
Like, let's just take the datait's bringing in and, like, make
it into the product.
Corey (33:14):
Yeah. You know what's really interesting? I I went
into Zapier the other day to fixone of our automations that was
related to when someone books asales call, and then we
automatically create a littleNotion card and pipe in some
information there. So I went into rejigger it, and then I saw
that on the sidebar, because youyou know how Zapier has, they
kind of created this like visualautomation builder Mhmm. UI that
(33:37):
everyone kind of copied whereit's like, you know, action
trigger and there's little plusbuttons in between Yeah.
And so on and so forth.
Nick (33:44):
Great.
Corey (33:44):
And then I saw on the left hand side that there was
like a it was a little chatbubble, little text box, and it
was like, describe what youwanna do and then like, we'll do
it with AI. So I was just like,okay, me just describe what I'm
trying to do here. And so I justtyped in like two sentences and
(34:04):
then it remade the theautomation and and like did it
perfectly. And I was like, thisis actually awesome because that
it just saves me clicking like a100 times. You know what I mean?
And that's really a prettytrivial thing. I just needed to
like update a couple fields andadd a step and and move a couple
(34:27):
things around. And I was like,this this is how every product
should be incorporating AI andtalking about it is, now you
don't have to do the thing. Youjust tell the product what you
want and it does it for you.That to me, I was like, why
isn't Zapier talking about thismore?
Like their product marketingshould be like, you don't have
to build automations anymore.All you have to do is tell it
(34:50):
what you want and then it willbuild the automation for you.
Zach (34:53):
Yeah. I mean, and that's honestly, I feel like the
assistant area there is reallycool too. Because with Zapier,
you could say or you could itcould ask you, like, just a
couple prompted questions, like,what softwares do you use? And
you could list them out, andthen it could return to you
thousands of differentcombinations that you could have
(35:16):
between all of those differentprograms. Things that you might
not have even thought of before.
So Right. Yeah. But that shouldbe something like, I wouldn't
need to know that this is an AIassistant that's gonna help me
with it. It could just be aprompt. A a pop up modal.
It's like, softwares are youusing? Boom boom boom boom boom
boom boom. Great. We can create30 different automations for you
(35:38):
right now. Would you like that?
Nick (35:40):
It's a messaging problem. Because I guarantee, like,
Corey, if you click that thingand it was like, try to wrap
your AI. Like, type in what youwant. Right? Like, you would've
kinda been like, just start atclose close close close it.
Like, but because it was like,just tell us what you need and
we'll do it. That was basicallyall it said. You were like, oh,
let me just see what it does.You know? But if it was like
(36:02):
all, you know, bright flashing,you know, Vegas lights, we are
AI now, like, you would havebeen like, screw you.
I'm done. You know?
Zach (36:10):
Be a little so I think that one of the big things is
maybe being a little bit moresubtle with the AI. And this was
because this was the problemthat blockchain had. If
blockchain had just been doneunder the hood, and behind the
scenes, like, one needs to knowhow it works. Just, like, give
them the freaking result thatthey're after.
Nick (36:28):
That's exactly The the website builder is interesting.
Same problem with messaging.Like, I if I landed on a landing
page that was like, we are theAI website builder, I would
immediately close it. But if Ilanded on a page that was like,
we'll help you build websitesfaster, be like, what? How?
Like, I would immediately say,how? Like, let me see what what
(36:49):
do you how does that actuallywork? And like, I wanna see a
demo of like how this actuallytakes place. But like
Zach (36:54):
That's a
Nick (36:54):
just using the different phrasing is like, ruins it.
Zach (36:58):
That's another thing too, is there's a lot of there's a
substantial lack of proof byform of case studies of, you
know, consumer reviews, andthen, like, and real consumer
reviews, not ones that are madeby AI, like actual use cases for
how this thing works. Becausethat's one of the main things
with the product marketing isthat people don't they can't see
(37:20):
themselves getting benefit fromthe product, mainly because they
don't show substantial proof of,well, this is how this company
saved twenty thousand hours aweek across their their entire
workforce by using our platform.Like, those are sizable numbers
(37:41):
that people should be focusingon, and the the way to
demonstrate them. It's not newtactics. It's just actually
showing people the results thatthey could expect to see from
this.
So they could then understandhow it might be transposed to to
their situation.
Corey (37:59):
Mhmm. Yeah. Yeah. It's it's kinda sad, but I also feel
like it's a huge opportunity.Because I feel like most
companies are fumbling the bagon how to market their AI
capabilities really really well.
You take a company like VisualElectric, for example, I haven't
actually looked at theirhomepage, but if they took the
approach of most startups today,their headline would be like,
(38:23):
the visual AI image automationplatform or something like that.
And you'd be like, I don't knowwhat that means at all. And then
the whole rest of the page wouldjust be like, look at this cool
thing. Look at this cool thing.Look at this cool thing.
All they need to say is like,remember when you used to look
through stock photos for hoursand then have to pay a dollar
(38:47):
every time someone viewed thatstock image? Like, those days
are gone. Now, make your ownstock images perfectly tailored
for you for free.
Nick (38:57):
Is that true? It's a
Zach (38:59):
camera for your mind. Oh. What? But the funny thing is the
funny thing is, I feel like whenI signed up for it last year,
that's not what it said. I thinkit was something else.
Nick (39:14):
Camera for your mind. Who did they hire?
Corey (39:16):
Yeah. The
Zach (39:20):
the thing is is that the their subhead is perfect, which
is bring your vision to lifewith VisualElectric, the first
image generator built fordesigners.
Corey (39:30):
Not bad. Great. Yeah. Not bad.
Zach (39:31):
Yeah. And well, I mean, they're missing a couple other
things. Like, you know, it'd becool if they had some objection
busters. And, I mean, with thisuse case in particular, they'd
benefit from a little bit moreof a shift in layout from being
centered to having a left rightalignment. Because if I could
just see, like, what the projectwas doing, that'd be fantastic.
Right. Granted, I'll scroll. Buttheir h two is never used on
(39:56):
their stock photo. So likethey're immediately getting into
the problem, which which aregreat. Yeah.
A little bit more features, buthighly specific ones. So things
like never use another stockphoto, create realistic mock
ups, that's a cool thing thatthis really powerful for
designers. Style library,they're hitting you with really
(40:18):
really good features, whichagain, this is why this is a
good use case for AI in a veryvery very specific sector and
hitting on specific problems.Because every single thing that
they are mentioning is a problemthat designers have. Specific
even within other comparing itto other image generators is
(40:40):
that I didn't have all theseother things like their art
director, where you have theability to change the way a
photo looks.
Collaboration, another big deal.Yeah. So I mean, they could have
done a little bit more. And butthis also it's also really cool
because then it opened up into abunch of other integrations
streams that were reallyeffective for them. Like, they
(41:02):
have a Figma plugin, they have aFramer plugin, and they have a
Webflow plugin.
All of which, like, the veryvery narrow focus instead of
like, it plugs into whatever youwant. It's like Yeah. You're not
gonna need a Visual Electric tiein to Gmail.
Corey (41:18):
Yeah. Right. But my point too is that, if you're
incorporating AI into your intoyour product, there's such an
amazing opportunity right now tobe like, hey, remember this
thing that you've doing for thelast ten years this way? Now,
you can do it in a completelydifferent way that's 10 times
(41:39):
easier, faster, cheaper, andbetter. And here's how.
Like that window is closing.We're probably gonna have that
window for the next couple ofyears ish, and then it's gonna
be incorporated into everystartup and every product ever,
because that's what everyone'sworking right now is
incorporating AI. And thenthat's gonna become the new
(42:00):
normal. And then everyone's justgonna be used to like, oh, okay.
Yeah.
So like, how is your AI CRMdifferent than this other AI CRM
different from this other AI Andthat but we're not even gonna be
calling them AI CRMs by then.There's just gonna be, how is
your CRM better than your CRMbetter than your CRM? And right
now, there's such an amazingopportunity to say, hey, we're
(42:23):
incorporating AI in very veryspecific ways that allow you to
go from this to this, before andafter. You used to do it this
way, now you can do it that way.And if they just paint that
picture with the before andafter, and you used to do it
this way, now you can do it thisway, that's better.
(42:43):
It would click in people's mindsso much faster. But instead, all
the emphasis is just on thislike gobbledygook jargon,
talking about the technology andall the different possibilities
and synergies and meaninglesswords.
Nick (42:59):
I have bad news, Zach. I know you love Visual Electric,
but their site is built onFramer. And like many sites
built on Framer, they actuallyhave five h ones. So the h two
you mentioned is actually a hone. It's their second h one.
Mhmm. Whoops. Yeah. A camera foryour mind I don't know. I Sorry.
(43:20):
I had to cut you off. I was likejust waiting for the spot to
tell you that your H 2 isactually at H 1.
Zach (43:26):
Well, I mean, I didn't inspect any elements on here. I
was just Yeah.
Nick (43:29):
What they That's the the web head in me. I just can't
help it. Okay. We've we've beatthe horse as about as much as I
think we should for now. So ifthere's no final thoughts, I
will end with my last my lastlittle baby question, which is
what are the odds that the .comdomains are overtaken by
(43:55):
something like a .ai or a dotsomething else?
Will .com ever be dethroned?
Zach (44:03):
I think .com Ever? Is well, I think .com is useless
right now. Because what it stoodfor was .commerce. And this is
when the like, know, with the.com boom, it was all about,
know, oh, you can just, youknow, you buy shit online or you
conduct business online andcommerce online. But now, it
(44:27):
like, the the domain that youuse doesn't really matter with
the exception of certain usecases like if you have a .gov or
a .us.
So I don't think that .comsmatter anymore. I would not use
a .ai unless you were, like,unless you were doing something
cool where that played into youryour brand name. Like, if your
(44:49):
brand name ended in ai, thatcould be the only instance I
would think of where it's like,that's highly relevant. Because
again, it you're going to lookantiquated, you know, like,
moving forward. And no onereally cares like what your
domain value.
Nick (45:03):
Like the domain cost. Like the king willalwaysbe.com.
Corey (45:09):
Yes. Well, of course, it says yes. Yeah. I think so. I
don't see the Internet movingaway from from from those types,
like, we have to use these TLDs,these top level domains, these
little, you know, extensions ofthe names.
And it'll always be like thefirst thing in people's mind
(45:32):
that are like, oh,conversionfactory, is it
conversionfactory.com? Andthey're like, oh, it's
conversionfactory.co.co.
Nick (45:39):
Yeah. I I hate that.
Corey (45:40):
It'll always be .com is the first thing people come to
mind, and as long as it's thefirst thing that comes to mind,
it'll always be the most covetedTLD. And I think and I think dot
AI is gonna look integrated, youknow, sooner rather than later.
We saw the same thing with .io,and what was the popular crypto
(46:01):
one? It was like wasn't .xyz.
Zach (46:05):
Was No. Well, it wasn't .xyz. I thought I feel like
crypto had the dot Like, theythat was really popular with dot
before.
Corey (46:16):
That was like the first wave of startups in like the
February. A lot of them were dotor started as io. And then
eventually moved to .com. Iactually think that like
brandable.coms and brandablenames in general are like kind
of the final frontier. Likepeople are realizing that that's
(46:42):
there it's just so scarce.
There's only so many words anddomains that are good. And so,
everyone wants the best of thebest.
Nick (46:55):
True. It's a whole another topic.
Zach (46:56):
Yeah. A whole another topic.
Nick (46:57):
I was just it was a simple question. Okay. To be fair. No.
That was great.
Thank you, guys. We solved theproblem of AI. It's done. I'll
never be bothered by it again.Okay.
Thank you guys for listening tothe factory floor. We will see
you next time.
Zach (47:14):
Later. Bye.
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