• How understanding your local market helps photographers set better prices and attract the right clients.
• Why developing a clear photography niche makes your brand easier to recognize and remember.
• How consistent lighting, color, and editing can create a stronger professional photography style.
• Why continuous practice helps photographers improve their technical skills and work more efficiently.
• How constructive feedback can help photographers improve their work and strengthen their creative direction.
• Why photographers need to price their services based on both market demand and business expenses.
• How focusing your website on specific services can improve visibility and attract more targeted clients.
• Why careful planning is important when rebranding a photography business or changing its website.
• How existing clients and local businesses can help photographers build visibility in new markets.
• Why specialization and strong branding are important for standing out in a competitive photography industry.

[00:00:00] That's when I I think it requires some
[00:00:02] intelligence and expertise to try to
[00:00:05] figure out where AI would be most
[00:00:06] useful. We're not trying to have AI go
[00:00:09] to this client's house and talk to them
[00:00:11] and talk to them about sensitive
[00:00:13] information. Vive your vibe. Let it
[00:00:17] collide.
[00:00:20] Find your tribe where truth can't hide.
[00:00:26] Hey, this is Kirk and today I have
[00:00:28] Caitlyn MSAS, the founder and CEO of Bot
[00:00:32] Queen. It's a missiondriven technology
[00:00:33] company helping businesses and
[00:00:35] nonprofits adopt AI and automation in
[00:00:37] practical human- centered ways. She's
[00:00:39] got over a decade of experience as an
[00:00:41] entrepreneur and activist. Caitlyn
[00:00:43] brings a unique blend of strategy,
[00:00:45] system thinking, social impact to her
[00:00:47] work, and she trains teams and audiences
[00:00:49] on how to actually use AI tools focus on
[00:00:52] clarity, implementation, and
[00:00:53] responsibility. responsible adoption
[00:00:56] rather than hype. Yeah, that's a bit a
[00:00:58] lot lot of hype out there. So, she's uh
[00:01:01] in addition to Bot Queen, she's a board
[00:01:03] member on Suits for Seniors, Palm Beach
[00:01:05] State College AI advisory community,
[00:01:07] part-time director of stewardship and
[00:01:09] strategy at the center of child
[00:01:11] counseling. Lives at the intersection of
[00:01:13] technology, ethics, education, service.
[00:01:15] >> So, let's go a little bit back. So, I I
[00:01:18] was born in Mexico and I moved to the
[00:01:21] United States when I was one. uh had a
[00:01:23] great childhood growing up here in Palm
[00:01:25] Beach County and since I was a young kid
[00:01:28] I always loved innovative projects. I
[00:01:31] grew up going to Monasuri school which
[00:01:33] is very project based and independent
[00:01:35] and um
[00:01:36] >> here here in Palm Beach County. So which
[00:01:37] school did you go to?
[00:01:38] >> So I went to a few different ones. I
[00:01:40] went to Children's House.
[00:01:41] >> Okay.
[00:01:42] >> Um and then I went to Summit and
[00:01:44] Claremont Monastery Schools. They since
[00:01:47] have both closed. And then I went to a
[00:01:49] college prep school. Shout out to Graham
[00:01:51] View. I actually spoke there last week
[00:01:53] in front of uh 200 students.
[00:01:55] >> Nice.
[00:01:55] >> Um just a a very like inspirational
[00:01:57] conversation about my journey as an
[00:01:59] entrepreneur and also uh you know the
[00:02:01] future of AI and how they can prepare
[00:02:03] for it.
[00:02:04] >> And so the what was the first school
[00:02:05] because that's one still going.
[00:02:06] >> Only one that's really around now is
[00:02:09] Children's House where I went to as a
[00:02:10] like basically preschool. Okay.
[00:02:12] >> And then the one that I graduated from
[00:02:14] >> which was
[00:02:15] >> Graham View.
[00:02:15] >> Graham View. Okay. So I'm going to if
[00:02:17] you don't mind I'm going to do a little
[00:02:18] shout out to number one education place.
[00:02:20] That's where my son went to school and
[00:02:22] graduated.
[00:02:23] >> Yeah. Montasauri is why I mentioned that
[00:02:26] K through 12 Monttoauri which
[00:02:28] >> I don't think he would have been he just
[00:02:30] really thrived there. Went from
[00:02:32] >> you know C's and D's and barely keeping
[00:02:35] Fs from showing up on the transcript
[00:02:37] too.
[00:02:38] He said I think I talked to him he said
[00:02:40] when he attended school there he got
[00:02:41] straight A's except for one B or B plus
[00:02:43] something like that. So he had one
[00:02:44] class.
[00:02:45] >> Oh wow.
[00:02:45] >> That you didn't get an A in.
[00:02:46] >> That's amazing.
[00:02:47] >> So it's just Yeah. It's a monosur. I
[00:02:49] just sorry I just really feel strong.
[00:02:51] >> Sorry plug. No, I definitely and I want
[00:02:53] to send my kids to Monasuri. I think
[00:02:55] it's probably one of the best types of
[00:02:57] education that there are like available.
[00:03:00] >> Well, a lot of people aren't going to
[00:03:02] aren't going to thrive in a traditional
[00:03:04] education academic environment,
[00:03:06] >> right?
[00:03:06] >> And there's all kinds of learning. So,
[00:03:08] everybody's different. There's all kinds
[00:03:10] of different intelligences. And I think
[00:03:12] one way to address monatory I don't
[00:03:15] think it's the end all be all but it's
[00:03:17] it's an alternative to those that are
[00:03:19] struggling with a traditional academic
[00:03:22] environment. That's that's
[00:03:23] >> I don't even think it's for people that
[00:03:25] are struggling. I actually think it's
[00:03:26] more for people that want to be able to
[00:03:29] think outside the box and be
[00:03:30] independent.
[00:03:31] >> You're right. I'm sorry that that's a
[00:03:33] really bad way to put it.
[00:03:35] >> Think outside of the box. And also the
[00:03:37] other thing where a lot of kids at his
[00:03:38] school go to the reason why they go to
[00:03:40] SC to school there is cuz they're
[00:03:42] involved in automobile racing, horse
[00:03:46] events, whether that's polo or other
[00:03:48] types of um help me out, what's it
[00:03:50] called with the horse um the equestrian
[00:03:53] sports and you know dance or whatever it
[00:03:56] might be, martial arts. And what his
[00:03:59] school allows for is that flexibility. A
[00:04:03] lot of kids that go to school there
[00:04:04] where he graduated from are in travel
[00:04:06] sports.
[00:04:07] >> Yeah.
[00:04:07] >> And so the school has the flexibility to
[00:04:09] allow these students to participate in
[00:04:12] all of these activities. So you're
[00:04:13] right. It's not just it it's it's
[00:04:15] thinking outside of the box and
[00:04:17] providing a a better um how do I want to
[00:04:19] say just uh environment for the for
[00:04:22] these kids so that they can experience
[00:04:24] all these other things that they're
[00:04:25] actually very talented in.
[00:04:26] >> Yeah. Yeah. And I also think the school
[00:04:29] that I graduated from was very project
[00:04:31] based at the time. Like project based
[00:04:34] learning was a huge thing. And so I was
[00:04:36] able to do a lot with that. I started my
[00:04:38] own um club at my school focused on um
[00:04:42] empowering women feminism kind of at the
[00:04:44] wake of like me too talking about gender
[00:04:46] equality which I mean we'd been talking
[00:04:49] for years about but not really in a
[00:04:51] school setting. I really appreciated
[00:04:53] that about my high school. I got it the
[00:04:55] ability to be involved in dance and
[00:04:57] musical theater. Uh, and I think a lot
[00:05:00] of those skills that I learned there are
[00:05:02] very transferable. And so that's kind of
[00:05:04] what I was talking about in my uh
[00:05:06] presentations to two different student
[00:05:08] groups last week was the fact that they
[00:05:10] might not know it, but what they're
[00:05:12] learning and experiencing right now in
[00:05:15] school or even in college is going to be
[00:05:17] super transferable to the workforce.
[00:05:20] >> Uh, like musical theater, for example.
[00:05:22] Musical theater teaches you how to have
[00:05:24] stage presence, you know, how to become
[00:05:26] a character, storytelling, which is a
[00:05:28] lot of the work that I do now in terms
[00:05:30] of training, in terms of speaking. Um,
[00:05:32] really builds upon all of the work that
[00:05:35] I did.
[00:05:36] >> Getting up on top, getting on the stage
[00:05:37] and actually speaking to an audience.
[00:05:39] It's a big deal.
[00:05:40] >> And presence, tone, even right now, like
[00:05:43] what we're doing right now is is really
[00:05:44] based on a lot of the like vocal
[00:05:47] training that I had when I used to do
[00:05:48] singing and things like that. I I was in
[00:05:50] an a capella group and it was that was
[00:05:52] the time of my life. So, I definitely
[00:05:54] would love to eventually get back to
[00:05:56] some of that uh theater and arts. The
[00:05:58] million-dollar question, how did I get
[00:06:00] here? Um I think I' I've always wanted
[00:06:03] to be an entrepreneur in a sense and I
[00:06:05] always wanted to have my own uh business
[00:06:07] or nonprofit. And so, I spent uh a while
[00:06:12] doing a lot of nonprofit work and then
[00:06:14] around 2 three years ago was really like
[00:06:16] the beginning of of the AI revolution. I
[00:06:18] mean, AI had been around for several
[00:06:21] years before that, but not until like
[00:06:23] the release of Chad GBT, I would say, in
[00:06:25] like 2022, that people really started
[00:06:27] using it as regular everyday people. And
[00:06:30] so, I really wanted to be the person.
[00:06:32] >> So, repeat that again. I think that's
[00:06:34] really important. When did this thing
[00:06:35] start?
[00:06:36] >> 2022.
[00:06:37] >> 2022. But the actual tools been around
[00:06:41] for how long?
[00:06:42] >> I mean, they started around six, seven
[00:06:44] years ago. um you know working on
[00:06:47] artificial intelligence.
[00:06:48] >> So working on the development of these
[00:06:50] models and testing them but really the
[00:06:52] the big release to the public has only
[00:06:54] been in the last few years.
[00:06:56] >> The last few years but I mean the
[00:06:57] technology I guess the point I'm trying
[00:06:58] to make this isn't like brand new.
[00:07:00] >> I mean it's not like super brand new. So
[00:07:02] like 1956 is when artificial
[00:07:04] intelligence first started to really
[00:07:06] make a name as like a concept.
[00:07:08] >> Mhm. And then over the years, I mean, I
[00:07:10] don't know if you remember, but there
[00:07:12] was like this computer, um, I think it
[00:07:14] was called Deep Blue that was actually
[00:07:16] Watson.
[00:07:16] >> Yeah. All of that. So, it's it's like
[00:07:19] new, but it's not.
[00:07:20] >> So, the concept
[00:07:21] >> post 2000, like 2000 2010s, I think, is
[00:07:24] when Watson was
[00:07:25] >> right
[00:07:25] >> kind of prevalent, but it's it's it's
[00:07:28] still pretty new, but it's like you
[00:07:29] said, it's been around for
[00:07:31] >> for a long time,
[00:07:32] >> for a while. Precoid, right? I mean, I
[00:07:35] wasn't even aware of it until recent
[00:07:37] using like things like Grammarly for a
[00:07:39] long time. I mean, it's been
[00:07:40] incorporated in algorithms that we've
[00:07:42] been using for a pretty long time, but I
[00:07:44] think
[00:07:44] >> they didn't package it into this chatbt
[00:07:46] until like
[00:07:47] >> 2022.
[00:07:49] I think the when I say like the real AI
[00:07:51] revolution, I think really began with
[00:07:53] that release because now we have Grock,
[00:07:56] we have Gemini, and they're all
[00:07:57] competing right to become the best, the
[00:07:59] fastest, the cheapest, etc. So that real
[00:08:02] race I think started only in the last
[00:08:04] like four or five years.
[00:08:05] >> What's amazing is you you see because
[00:08:08] I'm I'm I'm a user of Gemini Grock Heat
[00:08:12] and um Perplexity and I haven't dabbled
[00:08:15] yet in the Claude. They all have their
[00:08:17] strengths. And what's interesting is
[00:08:19] that they're just, you know,
[00:08:20] >> they're all just like, oh, one comes out
[00:08:22] with something and then the other one
[00:08:23] comes out with something and then one
[00:08:25] releases a new project that they're
[00:08:26] doing and then the other one does
[00:08:28] something similar. They try to one up
[00:08:30] each other. Um I
[00:08:31] >> that's happening at the speed of light
[00:08:33] almost because I I I how I I don't know
[00:08:35] how familiar you are with photography. I
[00:08:37] kind of liken it to, you know, Canon,
[00:08:39] Sony, and Nikon, you know. Okay. Well,
[00:08:41] this year, you know, the best camera is
[00:08:44] probably Canon. And then next year, you
[00:08:46] know, Nikon's going to edge everybody
[00:08:47] out. And then the next year Sony's like
[00:08:49] get their act together and they're going
[00:08:50] to beat everybody. This is not on a
[00:08:52] yearby. This is on a probably like
[00:08:54] weekly if not daily basis which is
[00:08:57] making it really hard for the average
[00:08:59] person to keep up with this. It's very
[00:09:01] overwhelming even for myself and my
[00:09:03] team. I work with a local team out of
[00:09:05] Melbourne, Florida. I've been working
[00:09:06] with them almost since I started uh in
[00:09:08] the space and uh they are an AI
[00:09:10] development studio. What does that mean?
[00:09:12] They have a lab and really they build um
[00:09:15] foundationally they build tech. And so
[00:09:18] I've really learned and worked alongside
[00:09:20] them for the last few years. even for
[00:09:22] them to keep up with all of the updates
[00:09:23] and everything that's happening, it's
[00:09:25] it's overwhelming. So, you need an AI
[00:09:27] trained to keep you up to date and up to
[00:09:29] speed with everything that's happening
[00:09:30] in the space. But I think what I always
[00:09:32] recommend is pick a tool cla
[00:09:37] and start to really experiment and and
[00:09:39] think about like you're like a little
[00:09:41] tinkerer. You're going in, you're trying
[00:09:42] things out. I advocate for YouTube. It's
[00:09:45] an amazing resource to be able to learn
[00:09:48] um how to perform these specific
[00:09:50] prompts. Um there's a lot of new
[00:09:52] integrations that are happening. And so
[00:09:54] I really think that what is going to set
[00:09:57] people apart is going to be their
[00:09:58] curiosity and their ability to also dive
[00:10:01] deep and use AI for their particular use
[00:10:04] case. So what's a use case? It means how
[00:10:06] they're going to be uh applying it to,
[00:10:09] for example, a specific workflow or
[00:10:11] maybe they're applying it to a specific
[00:10:13] task that they're doing. and it's going
[00:10:15] to look differently like somebody who is
[00:10:17] in admin, they're going to use it
[00:10:19] differently than a doctor, right? And so
[00:10:22] I think now uh what I'm seeing and and
[00:10:24] what I'm training people on is how to
[00:10:26] niche down into their specific industry
[00:10:29] and then even deeper into their specific
[00:10:31] department and role. Um because that's
[00:10:33] where you're really going to see
[00:10:34] measurable return on investment is when
[00:10:36] people are really using it. Um today I
[00:10:38] was on with a a prospect and um it was
[00:10:41] brought up Javier who's our technical
[00:10:43] solutions architect. He basically said
[00:10:45] like if you use a prompt and you do it
[00:10:47] correctly, you can save on average 3
[00:10:49] minutes of your time.
[00:10:51] >> Mhm.
[00:10:51] >> So think about it across an entire
[00:10:53] enterprise.
[00:10:53] >> And what happens if you use it
[00:10:54] incorrectly?
[00:10:55] >> I mean you're not going to save as much
[00:10:56] time.
[00:10:57] >> Mhm.
[00:10:57] >> So basically how we've structured
[00:10:59] ourselves in capitalism, time equals
[00:11:01] money.
[00:11:02] >> Right. Right. I I would venture to say
[00:11:04] if you use if you don't know how to
[00:11:05] write prompts very well, you're actually
[00:11:06] going to spin your wheels and actually
[00:11:08] take maybe take more time.
[00:11:09] >> Well, let me just tell you that the hack
[00:11:11] to writing prompts is to have AI write
[00:11:13] the prompts for you.
[00:11:15] >> Correct. You have you actually have the
[00:11:18] AI write the prompt for you.
[00:11:19] >> Exactly. And
[00:11:20] >> that can we just let's just repeat that.
[00:11:23] Stop trying to write your own prompts.
[00:11:25] You have the AI write the prompt for
[00:11:28] you.
[00:11:29] >> Yes.
[00:11:29] >> That's like really critical. I don't
[00:11:32] think a lot of people know that. I think
[00:11:33] if you've been involved in the space,
[00:11:35] that just seems like second nature to
[00:11:37] you. But on average, the people that I
[00:11:40] train, uh, a lot of folks are small
[00:11:42] business owners or, you know, they run
[00:11:44] nonprofits or, you know, they're just
[00:11:45] staff. uh they're spending time like
[00:11:47] click clacking like create an email for
[00:11:50] me instead of putting on the dictate
[00:11:52] feature you know the little icon that's
[00:11:54] the microphone and being like hey so I'm
[00:11:57] trying to do an analysis today to find
[00:11:59] out do an analysis on my P&L over the
[00:12:01] last 3 months whatever it is that you
[00:12:03] want can you create me a prompt that's
[00:12:05] going to help me do XYZ I want the
[00:12:07] outcome to be XYZ so giving it a bunch
[00:12:10] of information and being really clear
[00:12:12] and specific and then having it create
[00:12:14] for you a really kick-ass prompt
[00:12:16] And then you can go in and refine that,
[00:12:18] >> you know, and then after that, once
[00:12:20] you're running these prompts, you can
[00:12:22] iterate. So you can type in certain
[00:12:24] questions like, hey, I'm actually trying
[00:12:26] to figure out this instead of that or if
[00:12:29] I was an expert in this, what would I
[00:12:31] need to be thinking about? So really be
[00:12:33] using it as an assistant rather than
[00:12:35] just kind of a write me an email and uh
[00:12:38] help me out with this specific small
[00:12:40] task,
[00:12:41] >> right? Or I'm in the marketing space,
[00:12:43] you know, and I have clients and
[00:12:44] prospects. write me this create this
[00:12:46] marketing proposal for me.
[00:12:48] >> What marketing proposal for who? It's
[00:12:50] like think about an intern. Like let's
[00:12:52] say we had an intern sitting with us
[00:12:54] right now here. His name is Jimmy. Would
[00:12:56] you just say, "Hey, Jimmy,
[00:12:58] >> go write me a marketing proposal.
[00:12:59] >> Write me a strategic plan for a
[00:13:01] nonprofit. Which nonprofit? What's
[00:13:04] what's even is a strategic plan?"
[00:13:05] >> You need to give them the basics.
[00:13:07] >> Exactly. And then I I've also been a
[00:13:09] huge fan of some of these new
[00:13:11] integrations. Some of them I'm not a big
[00:13:13] advocate for. I think connecting your uh
[00:13:15] email and things like that could put you
[00:13:16] a lot of security risks but uh there's
[00:13:19] some new integrations like with Canva.
[00:13:21] Uh so Canva is a different platform that
[00:13:23] you can basically create powerpoints and
[00:13:25] social media content. So now it's
[00:13:27] integrated with like chat QBT and so you
[00:13:30] can be brainstorming and thinking about
[00:13:32] oh I want to create this PowerPoint and
[00:13:34] then it can make an amazing outline and
[00:13:36] then you can go and edit it and refine
[00:13:37] it in Canva and it has that
[00:13:40] connectivity. So I think right now what
[00:13:42] I'm seeing in this space is especially
[00:13:44] for clients that really want to
[00:13:45] implement AI, they need to do some
[00:13:47] cleanup in terms of helping to connect
[00:13:50] their different platforms together. Like
[00:13:52] everyone has like 20 different platforms
[00:13:54] that they're using and moving between
[00:13:56] screens, right? The future, which what
[00:13:59] we're seeing in the space is going to be
[00:14:01] where these platforms are all talking to
[00:14:03] each other and there's a basically a
[00:14:05] foundational layer of artificial
[00:14:06] intelligence, which is what my my team
[00:14:08] is building. We're basically building an
[00:14:10] agent that would be able to connect to
[00:14:12] your CRM, your accounting software, your
[00:14:15] documents and things like that. And so
[00:14:17] rather than just migrating and going
[00:14:19] from one platform to the other, you're
[00:14:21] actually working within all of them
[00:14:23] together.
[00:14:24] >> Okay.
[00:14:25] >> Um and so that's what we're seeing and
[00:14:27] and hopefully that moves in the in the
[00:14:29] next year. And I also think that one of
[00:14:32] my my biggest conversations I think has
[00:14:34] been just because you say that you're
[00:14:37] implementing AI doesn't mean you
[00:14:39] actually have. And so that kind of goes
[00:14:41] along with what you're talking about the
[00:14:42] hype,
[00:14:43] >> right?
[00:14:43] >> So I'll give you an example. So a lot of
[00:14:46] folks in the small business and
[00:14:47] nonprofit space, they have Microsoft,
[00:14:50] right? Microsoft 365. And everyone's
[00:14:52] like, I have co-pilot,
[00:14:53] >> right?
[00:14:54] >> Okay, you have it. So I I got called in
[00:14:56] to a client. I've done probably five or
[00:14:58] six trainings with them. Two weeks ago,
[00:15:00] I walk into the room and I had already
[00:15:02] pre-planned this. There was probably 10
[00:15:04] women there, all between the ages of
[00:15:06] like 35 to 60, and I was like, "Okay,
[00:15:09] today we're going to go over and teach
[00:15:12] everybody here how to use Copilot." And
[00:15:14] I was like, "Has anybody been using it?"
[00:15:16] There was like two people that had used
[00:15:18] it. And what I learned is that they had
[00:15:21] all been seeing it on their interface,
[00:15:23] but they've never clicked it. They've
[00:15:24] never used it. They were like, "Oh,
[00:15:26] that's what that little rainbow like
[00:15:28] squiggly thing is. It's like it's kind
[00:15:30] of like a circle squiggly thing,
[00:15:32] >> right? Yeah.
[00:15:32] >> And um I don't even know what that shape
[00:15:34] is. What shape is that?
[00:15:36] >> I know what you're talking about,
[00:15:36] though.
[00:15:37] >> Yeah. It's kind of like a squiggle
[00:15:38] circle thing. And they were like, I had
[00:15:40] no idea. And it's because the
[00:15:43] leadership, in my opinion, just assumed
[00:15:45] that just because it exists, it's going
[00:15:47] to be used.
[00:15:48] >> No, it's not going to happen that way.
[00:15:50] >> And so we went through a whole training
[00:15:52] teaching them how to write emails uh
[00:15:54] with Copilot through Outlook. So, on the
[00:15:57] same interface, teaching them how to
[00:15:59] create flyers, teaching them how to call
[00:16:01] up different documents and summarize
[00:16:03] them,
[00:16:03] >> telling the AI not to use an M dash.
[00:16:05] >> Oh my gosh, that's funny. Uh, they
[00:16:08] actually have fixed that. That was in
[00:16:10] one of the latest like updates with 5.2
[00:16:13] where Sam Alman came out and he was
[00:16:14] like, "The M dash, it's not going to be
[00:16:16] as present anymore."
[00:16:17] >> It's still there.
[00:16:18] >> It's still there.
[00:16:19] >> It's still there. Not Not as legit, not
[00:16:21] as bad. Yeah. Still there. It's
[00:16:24] interesting because there was I was
[00:16:26] reading something like a few months ago
[00:16:27] that was saying that certain words are
[00:16:30] now going to be more prominent in the
[00:16:33] English language because of these models
[00:16:36] because the people that trained them
[00:16:39] decided that these were the words that
[00:16:40] we were going to use for the output
[00:16:42] >> or the writing techniques or whatever.
[00:16:44] >> Exactly. So then now that just gets and
[00:16:46] now all the content on LinkedIn and
[00:16:48] Facebook and everything is AI and so it
[00:16:50] just gets recirculated and reread by
[00:16:54] both AIs and humans. So it's just like
[00:16:56] it's mindblowing.
[00:16:57] >> It's actually impacting the lexicon.
[00:17:00] >> Exactly. That's a good way to put it. Um
[00:17:02] and it's impacting our ability to even
[00:17:05] communicate. Right.
[00:17:07] >> Cuz now we're thinking, oh well that
[00:17:08] that's a that's a word that everybody
[00:17:09] uses. It's actually not.
[00:17:11] >> No. So it's it's fascinating how
[00:17:13] basically
[00:17:14] >> how do you feel about all the content
[00:17:15] getting created because I almost feel
[00:17:17] like almost probably what 90 plus% of it
[00:17:20] is AI.
[00:17:21] >> I mean I don't know the stats on exactly
[00:17:23] how much content is produced
[00:17:24] >> when I'm saying let me clarify talk
[00:17:27] about having to clarify
[00:17:29] >> clarify it.
[00:17:30] >> I'm talking about the con so you have
[00:17:32] the bot created content. I'm not really
[00:17:34] talking about that. I'm talking about
[00:17:36] the content that people create for
[00:17:37] themselves but they're using the AI to
[00:17:39] write it for them. What I mean I would
[00:17:41] say
[00:17:43] in the 90 percentile.
[00:17:45] >> I mean I think
[00:17:46] >> I see lots of M dashes and I see a lots
[00:17:48] of the way they format the triples and
[00:17:50] everything else
[00:17:51] >> right when it's like um Chad GBT in
[00:17:54] these models they love to do like three
[00:17:56] adjectives in a row. Um but the thing is
[00:17:59] that that's actually how I learned it as
[00:18:01] well in school. Like it was like blue,
[00:18:03] red and yellow. So some of it I think
[00:18:06] might be still human
[00:18:07] >> somewhat legitimate for the top top
[00:18:10] level writer. This is how they're going
[00:18:11] to write.
[00:18:12] >> I mean it's interesting. So I have a
[00:18:14] friend who she's my best friend. She
[00:18:16] actually works in medical writing. And
[00:18:17] so she and her company completely have a
[00:18:20] zero AI policy. They're essentially
[00:18:23] she's a microbiologist and they're
[00:18:25] taking all of this hard science. So all
[00:18:27] of these graphs and you know really like
[00:18:31] statistical analysis that have been done
[00:18:33] with really fancy sciency words and
[00:18:35] they're creating for example journals
[00:18:37] and things like that that will be more
[00:18:38] digestible to the larger medical and
[00:18:41] student community. And so she has a very
[00:18:43] like solid no AI policy and and she's a
[00:18:46] big believer right now that that's going
[00:18:48] to stay like that at least for the
[00:18:49] foreseeable future specific to that
[00:18:52] industry. But I think when you're
[00:18:53] talking about LinkedIn I'm like I'm m
[00:18:55] I'm dashed out. You can even see people
[00:18:57] don't even take the time now to separate
[00:18:59] the paragraphs. I'm like, why am I
[00:19:01] reading just like word salad? It's like,
[00:19:03] you know what I mean? Have you seen
[00:19:04] that?
[00:19:04] >> Yes, I've seen that. Yes.
[00:19:06] >> And I think honestly what's going to
[00:19:07] happen in my opinion is that we're going
[00:19:10] to kind of maybe even get even deeper
[00:19:13] into some of the video content. I think
[00:19:15] we're already seeing that where people
[00:19:16] are consuming even more of the video
[00:19:18] content that's also AI generated. But I
[00:19:21] think what will stand out is
[00:19:22] >> like the gorilla podcast.
[00:19:23] >> Yes. I think what will really stand out
[00:19:26] is is people putting their authenticity
[00:19:28] on it.
[00:19:28] >> Well, that's what I keep that's what I
[00:19:30] tell my team. So, we do marketing
[00:19:32] >> and as part of what we do and I keep
[00:19:35] telling them authenticity is going to
[00:19:37] win in the end with all of this stuff.
[00:19:40] >> Yeah. And I don't know if you've seen
[00:19:41] this woman um I forget her name, but
[00:19:43] she's become super famous. She's a
[00:19:46] teacher and she makes these like uh
[00:19:48] these onion cups and these eggs and she
[00:19:50] just basically films herself eating the
[00:19:52] food that she likes to eat. and she went
[00:19:54] viral. I think she was even on the
[00:19:55] Jennifer Hudson show. But she's not
[00:19:58] curated like the way that she positions
[00:20:00] herself is she's a mom, she's a teacher,
[00:20:02] and she's sharing the food that she
[00:20:03] likes to eat online, you know, and it's
[00:20:05] that's what's like kind of jaw-dropping
[00:20:07] now. You're like so used to these
[00:20:09] proposals and people getting
[00:20:10] >> Well, that's why I like the way I do my
[00:20:11] show. It's like I mean, I have some qu
[00:20:13] like I told you when we started, I have
[00:20:15] some questions prepared depending, you
[00:20:17] know, I don't know you super well.
[00:20:20] Sometimes I have I we actually this is
[00:20:22] the first time we met. I haven't had a
[00:20:23] chance to have a conversation, but I
[00:20:25] mean with you saw me close my laptop
[00:20:27] within the first couple of seconds I'm
[00:20:29] like, "Okay, this is good. I don't need
[00:20:30] those questions."
[00:20:31] >> Sometimes I keep them open, but and
[00:20:33] usually I have cards printed that didn't
[00:20:34] work out for whatever reason today.
[00:20:36] Yeah. But at the same time, you know, I
[00:20:38] think these authentic conversations that
[00:20:40] can we allow to go down a rabbit hole, I
[00:20:44] think people are going to really crave
[00:20:45] that. Maybe. I don't know. Maybe I could
[00:20:47] be wrong.
[00:20:47] >> I think we're already seeing that with
[00:20:49] the live shopping.
[00:20:51] >> Oh, right.
[00:20:52] Amazon.
[00:20:53] >> I mean, we're already you're
[00:20:53] >> talking about the Amazon.
[00:20:54] >> Yeah. I mean, there's um through Shopify
[00:20:56] as well, even through like I think
[00:20:58] Instagram is working on something or I'm
[00:21:00] not sure on that space, but I've heard a
[00:21:02] lot of folks talking about the live
[00:21:03] shopping, the live streaming has already
[00:21:05] become a very popular form of
[00:21:07] entertainment. Uh I mean, we've seen for
[00:21:08] years the vloggers, you know, people
[00:21:11] basically like vlogging about their
[00:21:12] lives, their kids, you know, their
[00:21:14] hobbies, their passions. So, we
[00:21:16] definitely crave some of that. I mean,
[00:21:17] you can see it even on reality TV,
[00:21:20] >> right? Um, so I think that there might
[00:21:22] there's definitely going to be a
[00:21:23] continuation of that. Um, but I think
[00:21:25] it's getting harder and harder now for
[00:21:27] us to differentiate between AI generated
[00:21:29] content and not I mean I even have a
[00:21:31] hard time now. There's like influencers
[00:21:33] now that are not real influencers.
[00:21:35] They're they're AI.
[00:21:37] >> They're AI. I mean the the the tells are
[00:21:40] are getting smaller and smaller. Used to
[00:21:43] all they moved was her head,
[00:21:44] >> right? Well, now they have full stories.
[00:21:47] They have full lives,
[00:21:48] >> which you know I'm talking about. It
[00:21:49] used to be just a head. A talking head.
[00:21:51] >> Yeah. It was like an avatar,
[00:21:52] >> right? And then the body just kind of
[00:21:54] sat there or maybe then they started
[00:21:55] moving. Now it's like full on.
[00:21:57] >> Yeah. That you you're like,
[00:21:59] >> "Is that real?" Cuz it looks the latest
[00:22:02] stuff looks
[00:22:03] >> pretty authentic.
[00:22:05] >> Like almost even the texture of the skin
[00:22:09] >> is really well mimicked in my opinion.
[00:22:12] >> Um but kind of to add some focus, I I
[00:22:14] really am I'm excited. I'm a huge
[00:22:16] optimist in the fact that, you know,
[00:22:18] we've made it through a lot of different
[00:22:19] challenges as humanity and so we will
[00:22:22] prevail in this next phase as well.
[00:22:24] Hopefully, unless we get all taken out
[00:22:26] by aliens or something. Um, I hope
[00:22:28] that's quick.
[00:22:30] >> I don't think that's likely. No, I'm I'm
[00:22:32] making a joke, but
[00:22:33] >> I think Well, no, I know you're making
[00:22:34] the joke, but I mean, I think that's
[00:22:36] like uh our species in existence to an
[00:22:40] advanced civilization, an alien species,
[00:22:42] I think, is uh probably like li like li
[00:22:44] like li like li like li like li like li
[00:22:45] like li like li like li like li like li
[00:22:45] like li like li like li like likeness of
[00:22:45] us to like maybe I don't know some
[00:22:47] microbe in the dirt
[00:22:50] >> I I I mean I think we're definitely more
[00:22:52] advanced. I I will say that I'm really
[00:22:54] looking forward to some
[00:22:56] >> No, I'm saying in comparison, you know,
[00:22:58] they're just not going to care. No,
[00:23:00] that's what I'm trying to say. Yeah, I
[00:23:02] don't think they're going to care. They
[00:23:03] might look at us and go, "Oh, that's
[00:23:04] interesting. Those those monkeys down
[00:23:06] there."
[00:23:06] >> Just give us a
[00:23:08] >> a little bit of a flick. Um, but I think
[00:23:11] >> one of the things I'm really excited
[00:23:13] about and hopefully I get to see this in
[00:23:15] my own lifetime. Um, I've been a huge
[00:23:18] advocate for, you know, reform in the
[00:23:20] workplace and and work life balance and
[00:23:22] I'm really excited to hopefully see some
[00:23:25] changes in that space. I think the 9 to5
[00:23:28] hasn't been working for people. I also
[00:23:30] don't think it works if you're like a
[00:23:31] contractor or a freelancer. I think, you
[00:23:33] know, I'm hoping to see some changes
[00:23:36] with that regard.
[00:23:37] >> Like what in regard like more things are
[00:23:40] more um what's the word I'm looking for?
[00:23:43] Results results
[00:23:44] >> results driven. I mean, I think we're
[00:23:46] seeing that more and and thank God for
[00:23:48] co in that way where people were able to
[00:23:50] kind of make their own schedules and
[00:23:51] things like that. But even now it's like
[00:23:53] >> at the end of the day that's what
[00:23:54] matters more than anything, right? Not
[00:23:56] how many hours you put in, when you
[00:23:58] showed up, when you left.
[00:23:59] >> Exactly. I mean,
[00:24:00] >> did you get it done? And did you get it
[00:24:01] done in a timely manner?
[00:24:02] >> If it if it takes you 10 hours to close
[00:24:05] a million dollar deal, I'd rather have
[00:24:08] that person then they can go close
[00:24:09] another million-dollar deal rather than
[00:24:11] having someone just kind of BS their way
[00:24:13] the entire year to close that same
[00:24:15] million-dollar deal. Right. And also, I
[00:24:18] think it's going to be more valuable
[00:24:19] their communication skills and their
[00:24:20] ability to be innovative.
[00:24:22] >> Well, I'll even pitch something
[00:24:23] different to you. So the other side of
[00:24:25] that is that for the guy that closes a
[00:24:27] million dollar deal in 10 hours versus a
[00:24:29] guy that takes maybe 6 months or a year,
[00:24:31] which one's going to be more sticky? I
[00:24:32] mean, that's
[00:24:33] >> can make a difference, too.
[00:24:34] >> I don't know. I I'm I'm definitely
[00:24:36] interested to see how basically the
[00:24:38] revolution of work around AI. I mean,
[00:24:40] we've seen a huge mass firings really
[00:24:42] related to the rise of automation and
[00:24:45] and artificial intelligence. U McKenzie,
[00:24:47] which is one of the largest consulting
[00:24:49] companies, they fired a bunch of uh
[00:24:51] consultants. They're building their own
[00:24:53] like agentic consulting bot or something
[00:24:55] like that now. And so I'm I'm really
[00:24:57] interested to see if companies are
[00:25:00] really going to move forward with this
[00:25:01] 9-to-F5 full-time hire or if they're
[00:25:04] going to diversify. Uh we're also seeing
[00:25:06] a huge rise in VAS and offshore uh folks
[00:25:09] that are working in other countries like
[00:25:11] specifically like the Philippines and
[00:25:12] India and even in South America. So I'm
[00:25:15] I'm interested to see like in the next
[00:25:17] like 10 years what happens to the
[00:25:19] workforce. And there's also a lot of
[00:25:21] other issues like the rising cost in
[00:25:22] healthcare, the rising cost of food. So,
[00:25:24] how are we really going to manage all of
[00:25:26] these issues at once while still
[00:25:28] creating highquality output and
[00:25:30] highquality businesses?
[00:25:32] >> Yeah. Which aren't just cookie cutter
[00:25:34] stuff,
[00:25:35] >> right? It's like super complex. So, I I
[00:25:38] really hope that that more conversation
[00:25:40] is had about, you know, not just the
[00:25:42] hours. It's like, oh, how many hours did
[00:25:45] you work? Like a lot of stuff takes me
[00:25:46] like 10 minutes. But I also think about
[00:25:48] it for a long time. For example, like a
[00:25:51] presentation that I might create is
[00:25:53] like, you know, I go on walks, I think
[00:25:55] about it. I think about the order. The
[00:25:57] actual time that I'm spending creating a
[00:26:00] presentation might just be in 1 hour,
[00:26:02] >> right? But the thing is is if you're in
[00:26:04] a traditional 9 to5, it might be 5:30.
[00:26:06] You're driving home and you're like,
[00:26:08] "Oh, that's what I need to put in there,
[00:26:10] >> right?
[00:26:10] >> 30 minute or 45 minute commute. That
[00:26:14] where does that get accounted for?"
[00:26:15] >> Well, yeah. And and
[00:26:16] >> that's the and I think that's kind of
[00:26:17] what you're addressing. You're saying
[00:26:19] >> so so I'm stealing this from my best
[00:26:21] friend. Her name is Amanda. So she says,
[00:26:22] "If I'm thinking about you, I'm
[00:26:24] working."
[00:26:25] >> Well, I say I say the same thing and my
[00:26:27] wife would give me so much crap about
[00:26:29] that cuz I'll be driving the car, taking
[00:26:31] the kids somewhere, and they're like,
[00:26:32] "Are you working?" I go, "Yeah, I'm
[00:26:34] working. I'm thinking about it."
[00:26:35] >> Yeah, I'm I'm I'm thinking about you.
[00:26:38] >> I'm I'm with your best friend, Amanda.
[00:26:41] >> She's like, "You know what? I feel the
[00:26:43] same way though because it's it's your
[00:26:45] mental capacity and mental space and
[00:26:47] it's like that's the the same work that
[00:26:49] has never been accounted for for women.
[00:26:51] You know, your husband comes home, he's
[00:26:53] like, "What have you been doing all
[00:26:54] day?" Well, I've been keeping track of
[00:26:55] this entire place, the kids, the
[00:26:58] schedule, the groceries.
[00:26:59] >> Oh, you're talking about the stay at
[00:27:00] home mom.
[00:27:01] >> Yeah. I mean, I feel like
[00:27:02] >> the woman that has only one job.
[00:27:03] >> I mean, she has a thousand of them.
[00:27:05] >> Well, I'm just saying as a stay-at-home
[00:27:07] mom, she's just got the one job. She's
[00:27:09] not doing a career and you where I'm
[00:27:12] going. Like the the mom's got that's
[00:27:15] like as you were saying that's a
[00:27:17] full-time.
[00:27:18] >> Yeah. And it's 24/7
[00:27:20] >> and then you got the kids and then she's
[00:27:21] supposed to go work for eight hours a
[00:27:23] day somewhere too.
[00:27:24] >> Well, now you got to work because you
[00:27:25] can't afford if you don't have two
[00:27:26] incomes like it's not going to happen.
[00:27:28] Yeah. I definitely think the mental
[00:27:30] >> traditional woman in the last I don't
[00:27:33] know how many maybe you know the answer
[00:27:35] to that. She's she's working multiple
[00:27:37] jobs. Yeah, this is true.
[00:27:39] >> How does she ever get to sleep? Because
[00:27:41] her brain's going crazy because she's
[00:27:42] thinking about the orthodontist
[00:27:44] appointment and then the dance lessons
[00:27:45] and then the tutor and the teacher
[00:27:48] appointment and then she's got her job
[00:27:50] and her boss and her coworker and
[00:27:52] >> that's why so many women are like super
[00:27:54] tired and burnt out and then, you know,
[00:27:56] it just doesn't function or work.
[00:27:58] There's not enough hours.
[00:28:00] >> So, is there anybody ever talking about
[00:28:01] this? Is this
[00:28:02] >> I mean, I I do think so. I think I mean
[00:28:04] you know a lot of folks keep keep saying
[00:28:06] like oh like you can have it all and
[00:28:08] stuff like that. I think I think you can
[00:28:09] have it all in the right partnership and
[00:28:12] in the right situation and there are a
[00:28:14] lot of women that I follow like on
[00:28:16] social media that are now talking about
[00:28:18] this where they are open and honest. One
[00:28:20] of them is uh Melissa Wooderberg. I mean
[00:28:22] she her husband owns like the towel
[00:28:24] group and you know she's very well off
[00:28:26] and she has her own business but she's
[00:28:28] been open about the fact that she has a
[00:28:29] lot of help. I mean, she's got a nanny,
[00:28:31] she's got a housekeeper, all these
[00:28:33] people that are are helping her. She has
[00:28:35] her own team that works with her. So,
[00:28:36] she teaches uh Pilates and yoga and all
[00:28:38] these classes like online and in person.
[00:28:41] And she's a big influencer. She's like
[00:28:43] got millions of followers. And so, she's
[00:28:45] I appreciate that because the folks that
[00:28:48] are just like, "Oh, you can have it
[00:28:49] all." But then they don't show you what
[00:28:50] the whole team that's behind them,
[00:28:52] right?
[00:28:53] >> And the whole structure.
[00:28:54] >> Yeah.
[00:28:55] >> So, there there's a lot there's a lot to
[00:28:57] it. I mean, I I do my little bit. I I uh
[00:29:01] just recently and I sorry I didn't do it
[00:29:03] sooner Elena. Um but you know I I don't
[00:29:07] do much and it's a ma. So men are you
[00:29:10] listening? Listen
[00:29:11] >> then do more.
[00:29:13] >> All I do is I wake up. She leaves. She
[00:29:15] has to leave at 5:20 in the morning.
[00:29:18] >> Oh wow.
[00:29:18] >> She's in medical. So all I do is I put
[00:29:21] her pre-prepared meal which if you had
[00:29:24] to bet I didn't prepare it.
[00:29:28] So, I'm not doing much. Okay, that's why
[00:29:31] I'm trying to make the point I'm trying.
[00:29:32] So, I move it from the refrigerator to
[00:29:34] her lunchbox. I heat her water up cuz
[00:29:37] she she wants to get water with lemon
[00:29:39] and creatinin salt and she wants a
[00:29:42] bottle of cold water with lemon. So, I
[00:29:45] get the cold water, the hot water, get
[00:29:47] the bag, and I put it in her car. We
[00:29:49] have a plug-in hybrid EV. I un I unplug
[00:29:54] the car, put everything in the car, and
[00:29:56] put her watch from the charger in her
[00:29:58] purse, and that's all I do. That's not
[00:30:01] really a lot, is it?
[00:30:02] >> I mean, the thing is, it's
[00:30:03] >> And all I can tell you is she loves it.
[00:30:07] >> We love it. We I mean,
[00:30:09] >> it doesn't What I'm trying to say is it
[00:30:10] doesn't take a whole lot.
[00:30:12] >> No, 100%. But I think
[00:30:13] >> just a little bit, a little effort.
[00:30:16] There's a lot of um men that are sort of
[00:30:18] like just waiting for their wives or
[00:30:20] their girlfriends or even someone
[00:30:22] they're dating just to be like tell me
[00:30:23] what to do. Like take initiative is the
[00:30:26] trash is full. You got to take it out.
[00:30:28] >> Yeah,
[00:30:29] >> let's do it. Like I'll give you an
[00:30:30] example. So my uh partner, he's great.
[00:30:33] Shout out to Federico. I love you.
[00:30:37] And yesterday I came home from working
[00:30:39] an event. Um, I was working till 9:30 at
[00:30:42] night and I walk in to the house and all
[00:30:45] of the laundry has been done. All the
[00:30:47] whole kitchen's clean. He's clean and
[00:30:49] he's sitting on the couch waiting for
[00:30:51] me. And I had let him know that I was
[00:30:53] already on my way. And then today I had
[00:30:55] a jam-packed day from 9:00 a.m. all the
[00:30:58] way till, you know, 9:00 at night. I
[00:31:00] have like a Gallentine's day and
[00:31:01] everything. So, I called him. I was
[00:31:02] like, "Hey, like what are you doing for
[00:31:04] lunch?" And he's like, "Oh, like I'll
[00:31:05] come over. Like I'll make lunch." So, I
[00:31:08] get home today from visiting a client
[00:31:10] and he's already like making lunch, you
[00:31:12] know, but it's because I I can see that
[00:31:14] he takes initiative cause. I don't have
[00:31:16] to be ordering things around and, you
[00:31:19] know, cuz that's a lot of like we were
[00:31:20] saying, mental
[00:31:21] >> head space is how you worded it. Yeah.
[00:31:24] >> So, I definitely think it's it's the
[00:31:26] small things, but it's just being that
[00:31:28] willing participant in the relationship
[00:31:30] that really takes everything to the next
[00:31:32] level.
[00:31:33] >> Right. And I'm and I guess the point I'm
[00:31:34] trying to make is that it doesn't have
[00:31:36] to be like mindblowing, right? Just just
[00:31:38] a little bit.
[00:31:39] >> Yeah. Knowing that when I wake up
[00:31:41] because I this morning she knew I had a
[00:31:43] full day today and she and and she saw
[00:31:45] me there doing she's like, "Oh, I didn't
[00:31:46] know you were going to get up today and
[00:31:47] do all of this." I'm like, "No, I'm
[00:31:49] >> Do you do it every day?"
[00:31:51] >> I I have missed. I'm not going to lie,
[00:31:53] but I try to do it every day.
[00:31:55] >> I like it.
[00:31:55] >> Yeah. I try to do it every day. Every
[00:31:57] now and then I I'll have a a miss, but
[00:32:00] uh And by the way, I was up late last
[00:32:01] night. I was up till like midnight
[00:32:03] having to do work stuff and so I still
[00:32:05] got up at 5:00. I didn't want to. I
[00:32:08] don't know. My brain is working
[00:32:09] differently now. I don't know. There's
[00:32:11] been like a switch in my brain and I
[00:32:14] don't know. This is a good thing.
[00:32:16] >> It's a good thing. More like motivated.
[00:32:18] >> No. How would I How would I describe it?
[00:32:22] You have children?
[00:32:23] >> No.
[00:32:23] >> You don't have children? Okay. So, we
[00:32:25] have children.
[00:32:26] >> She was the one that would wake up in
[00:32:28] the you know, middle of the night.
[00:32:29] >> Mhm. I'm just sleeping through all of
[00:32:32] it. Never woke up. All three. Not a one.
[00:32:35] I'm just I'm a I sleep heavy. I mean, I
[00:32:38] was the guy that they'd put shaving
[00:32:39] cream on in college, you know?
[00:32:41] >> Like they pied you, too.
[00:32:42] >> Yeah. Uh-huh. Everything.
[00:32:44] >> That's so funny.
[00:32:44] >> I feel like it's almost kind of like
[00:32:46] that though now with her getting up like
[00:32:49] the baby crying is, you know, cuz I'm in
[00:32:52] a deep sleep and soon as I hear her get
[00:32:54] up, like her alarm would not typically
[00:32:56] wake me up. M.
[00:32:58] >> So, I don't know what switch has gone
[00:32:59] off in my head or maybe it's just that
[00:33:01] little bit of appreciation that she
[00:33:03] showed me. You know, it really helps her
[00:33:05] out because it's early and you know, it
[00:33:07] it literally does take me probably 10 to
[00:33:09] 15 minutes. It might sound crazy just
[00:33:12] packing a lunch and heating some water,
[00:33:13] but it does take me about 10 or 15
[00:33:16] minutes to do that. Well, that's 10 or
[00:33:18] 15 minutes that she doesn't have to
[00:33:19] spend in the morning.
[00:33:21] >> And it's just about showing somebody
[00:33:22] that you care. I think going back to
[00:33:24] what we were talking about with with AI,
[00:33:26] it's like that human element is still so
[00:33:29] important. I think we forget that we're
[00:33:31] animals. And I said I've said this
[00:33:33] before on I think another podcast and
[00:33:35] the person that was interviewing me was
[00:33:36] like, "What?" And I was like, "I don't
[00:33:38] think anybody under like we're we we're
[00:33:40] finite, you know,
[00:33:42] >> and we're animals." And so to think that
[00:33:45] we don't need this relational aspect in
[00:33:48] our lives. We don't need community. We
[00:33:50] don't need to be taken care of. Like if
[00:33:52] you see like a a cat, you know, with its
[00:33:54] kittens, like they're all taking care of
[00:33:56] each other. They're all living together.
[00:33:57] They're like going out and hunting
[00:33:59] together and exploring. And so we're the
[00:34:01] same way. And so I think that we I think
[00:34:04] sometimes we've we've built all this and
[00:34:06] we're sitting in front of microphones
[00:34:07] and using all this tech and going on our
[00:34:09] phones that we also created. I don't
[00:34:10] know why, but we forget. We forget that
[00:34:12] we're animals,
[00:34:13] >> right?
[00:34:14] >> That we need to sleep, that we need to
[00:34:15] have fun, that we need to go out and
[00:34:17] touch grass. As my sister would say, she
[00:34:20] says, "Touch grass." Yeah. Or grounding.
[00:34:22] >> Grounding.
[00:34:23] >> I really I really like it at the beach.
[00:34:25] >> Yeah. You just like get in the sand and
[00:34:26] everything like that.
[00:34:27] >> Got to be bare feet. Got to take your
[00:34:29] shoes and socks off.
[00:34:30] >> Get in there.
[00:34:31] >> Get in there.
[00:34:32] >> Touch some grass. Touch some sand.
[00:34:34] >> Um so yeah, kind of to to round it out
[00:34:36] and you were you were talking about like
[00:34:37] you're switching your brain. I think uh
[00:34:39] last year was a big year for me. It was
[00:34:41] like my first year in business. So I
[00:34:43] think I overdid it and I burnt myself
[00:34:44] out. But now I was asking about you
[00:34:46] about like motivation. Now I really feel
[00:34:48] like super motivated now. I'm redoing my
[00:34:51] website. I'm really structuring my my
[00:34:53] offerings to be, you know, flexible
[00:34:55] obviously and customizable but specific.
[00:34:57] So I'm really working now on providing a
[00:35:00] like a lot of AI training for uh teams
[00:35:03] specifically. So you know whether it be
[00:35:06] a team of nonprofits or teams of
[00:35:08] businesses.
[00:35:09] >> So the idea is that you know because I
[00:35:11] have a IT background so my mind works a
[00:35:14] little bit differently. So this stuff
[00:35:16] for me just made sense, right? And I
[00:35:18] could see lots of different ways to
[00:35:20] implement it,
[00:35:20] >> right?
[00:35:21] >> But I think for maybe a nonIT kind of
[00:35:23] person, this is where you come in.
[00:35:25] >> Yeah. And I also
[00:35:26] >> is you're coming up with a solution with
[00:35:28] Okay, I'm taking a I'll give you another
[00:35:30] example. I'm going to I want to go back
[00:35:32] and go to a non- techy kind of person
[00:35:35] where I feel like you're the person
[00:35:36] fitting into this. So I met a a guy. I
[00:35:40] used to have a sewing business
[00:35:42] >> and so what he helped me but I had a
[00:35:45] very small sewing business
[00:35:48] >> but where his experience come and he
[00:35:49] could sit there and talk about it is he
[00:35:51] would go to these large factories that
[00:35:53] were outputting you know 10,000 dozens
[00:35:55] of jeans a day
[00:35:56] >> 10,000 dozen that's a lot of jeans
[00:35:58] >> that's a lot of jeans right and he
[00:36:00] literally said he would take one table
[00:36:03] and he would move it like 6 in and maybe
[00:36:06] angled it and they could become 5 or 10%
[00:36:09] moreffic ition like something crazy like
[00:36:12] that.
[00:36:12] >> Yeah, they they did that at a Toyota
[00:36:14] factory where um before the the guys who
[00:36:17] were putting on um you know the smaller
[00:36:19] parts on the vehicle, they'd have to
[00:36:21] walk all the way around and then they
[00:36:23] put in mirrors so then they could see
[00:36:24] what was happening. And so that
[00:36:26] increased productivity tremendously and
[00:36:29] uh decreased friction. So, if you think
[00:36:31] about it, like even training a team on
[00:36:33] how to use Microsoft Copilot, you're not
[00:36:36] seeing it every day because you it's
[00:36:38] really hard to quantify unless you're
[00:36:40] implementing some sort of like tracking
[00:36:41] tool on your employees. But imagine if
[00:36:44] every single employee is spending one
[00:36:46] less minute writing an email just like
[00:36:48] simply just one less minute and you have
[00:36:50] 20 employees sending how many emails a
[00:36:52] day? Sometimes hundreds if not thousands
[00:36:55] depending on the sizes of your team. And
[00:36:56] so that one change is going to make a
[00:36:58] significant difference. And and that's
[00:37:00] what so that's where you come in is you
[00:37:02] can do a training evaluate I guess is
[00:37:06] that part of what you do? Do you kind of
[00:37:07] do an audit and kind of evaluate like
[00:37:09] let me watch this team and see what
[00:37:10] they're doing every day to see where it
[00:37:12] makes where you can get the biggest bang
[00:37:14] for your buck on on implementing an AI
[00:37:16] solution.
[00:37:17] >> So it depends. So sometimes I do like
[00:37:19] one-off trainings where I'm just hired
[00:37:21] to come in and do some training for
[00:37:22] example on Copilot or Chad GBT and it's
[00:37:25] more of kind of like an introduction and
[00:37:27] socialization. But when I implement it
[00:37:30] with my larger team, it's basically a
[00:37:31] discovery phase where we're doing Javier
[00:37:33] and I are doing like one-on-one
[00:37:35] interviews basically like even
[00:37:37] psychologically kind of studying these
[00:37:39] folks from a change management
[00:37:40] perspective to see how things
[00:37:42] >> change management. I'm an IT guy, so I'm
[00:37:44] going to have to say that's managerial
[00:37:46] change management.
[00:37:47] >> Yes. And so basically to assess how to
[00:37:52] implement something and socialize
[00:37:54] something by department.
[00:37:55] >> Very important. Exactly. Everybody's got
[00:37:58] probably a lot of fears that they're
[00:37:59] going to be eliminated too.
[00:38:00] >> There's a lot of fears. There's a lot of
[00:38:02] complexity. Um, and I also think that
[00:38:05] I've seen it done improperly. Even
[00:38:08] before AI, you know, years ago, I helped
[00:38:11] a small business implement a CRM.
[00:38:13] >> Okay. So, you've experienced it with the
[00:38:15] old school way.
[00:38:16] >> Yeah. And it's like there's everybody
[00:38:17] always says, "Oh, I don't like my CRM."
[00:38:19] It's not necessarily the CRM. It's the
[00:38:21] fact that no one's putting any data in
[00:38:23] the CRM. No one's updating it. And then
[00:38:26] no one's been trained on how to do any
[00:38:27] of the reporting or what this data is
[00:38:29] actually valuable for.
[00:38:31] >> And so people just move from CRM to CRM
[00:38:33] to CRM and then it's still excuse my
[00:38:36] French
[00:38:37] >> Well, it's just it's the same way with
[00:38:38] the AIS, right? Garbage in, garbage out.
[00:38:41] So they don't even have the garbage
[00:38:42] because they got nothing.
[00:38:43] >> Right. And if you don't have any data,
[00:38:45] it's hard to come up with any sort of
[00:38:47] recommendations and
[00:38:48] >> trending analysis or anything. Right.
[00:38:51] Exactly. And so that's that's really
[00:38:53] like where me and my team uh and I I
[00:38:56] work with Javier and Thomas who's our
[00:38:58] lead engineer can have a really
[00:38:59] significant impact. But I still think
[00:39:01] right now where a lot of folks are at,
[00:39:03] they're just trying to use it in their
[00:39:05] daily workflow in their daily life. And
[00:39:07] a lot of them are still not ready for
[00:39:09] this larger scale implementation which
[00:39:11] I'm hoping to really have more
[00:39:13] conversations with folks to really get
[00:39:14] them ready for that cuz when it comes to
[00:39:16] those larger kind of like audits and
[00:39:18] discovery it is a larger um both a time
[00:39:21] perspective time from the staff of the
[00:39:23] organization and then also a larger
[00:39:25] financial investment. you know, hiring
[00:39:27] me for one or two trainings is a lot
[00:39:29] cheaper than doing a full scale
[00:39:31] six-month engagement. And then from
[00:39:32] there,
[00:39:33] >> but you're not going to now when you do
[00:39:34] that engagement and you do your
[00:39:36] implementation, is it is it a big bang
[00:39:38] or is it a gradual?
[00:39:40] >> We work in phases. We work in phases.
[00:39:42] And so um for example, the last phase is
[00:39:46] actually the implementation of it. So
[00:39:49] once we do uh like a socialization and
[00:39:51] audit uh and the discovery and then we
[00:39:53] find out where AI would be most useful,
[00:39:55] we actually have to go into those
[00:39:56] workflows. Let's say that there's an
[00:39:58] integration that has to be done. Let's
[00:39:59] say we need to build out a full-scale
[00:40:01] new application. Then those are like
[00:40:03] additional scopes of work and projects
[00:40:05] that have to be done. Um that can take
[00:40:07] even longer than kind of like that like
[00:40:09] six month uh engagement. And so that's
[00:40:12] what I'm thinking. Like that's what I
[00:40:13] don't like right now is that everybody's
[00:40:15] so interested in that quick fix and
[00:40:18] people just come, oh, what tool can I
[00:40:19] use right now to like help me with this?
[00:40:21] And it's like, sure, I can recommend
[00:40:23] something, but if you're looking to
[00:40:25] actually really revolutionize your
[00:40:27] business and your operation, it's going
[00:40:29] to be a financial investment and a time
[00:40:31] investment from you and your staff.
[00:40:34] >> And there's going to be iteration
[00:40:35] iterations to that. I mean, you can you
[00:40:38] don't have a crystal ball. you can make
[00:40:40] your best guesses
[00:40:40] >> and we're all working in a space that I
[00:40:44] mean
[00:40:44] >> it's changing daily.
[00:40:45] >> It's changing daily and and there's a
[00:40:47] lot of stats now on the fact that a lot
[00:40:49] of uh AI that has been implemented even
[00:40:51] at the enterprise level has been
[00:40:52] unsuccessful.
[00:40:54] >> Oh really?
[00:40:55] >> Yeah. And it's because of a lot of
[00:40:57] different reasons. Sometimes uh folks
[00:40:59] are really quick to deploy something.
[00:41:01] They haven't socialized it correctly. Uh
[00:41:03] there's a bunch of loss. Can you explain
[00:41:04] that so people understand that better
[00:41:06] that's in the audience what that
[00:41:07] socialization piece is cuz it's really
[00:41:09] important.
[00:41:09] >> So let's just take AI out of it. Let's
[00:41:12] say you have a CRM, right? And you need
[00:41:15] to be able to teach the employees that
[00:41:17] are at your company how and why you're
[00:41:21] using this CRM, right?
[00:41:22] >> I think the why is really important. It
[00:41:24] gets missed a lot.
[00:41:24] >> So the why of a CRM, customer
[00:41:27] relationship manager or client
[00:41:28] relationship manager. Basically, you're
[00:41:30] tracking all of your uh clients. So,
[00:41:33] let's take for example a hair studio. A
[00:41:35] hair salon or a hair studio, you're
[00:41:37] going to have the addresses, you're
[00:41:39] going to have the clients that you're
[00:41:40] serving, all of that data all in one
[00:41:42] place. Hopefully, you have that. And so,
[00:41:44] from there, you can make predictions on,
[00:41:47] for example, your revenue, on what kind
[00:41:49] of clients that you're serving. If
[00:41:51] you're never collecting any of that
[00:41:52] data, how are you going to know that
[00:41:54] your most popular haircut or the the
[00:41:56] most popular client that you have is a
[00:41:58] young woman between the ages of 15 and
[00:41:59] 25? and then you're not going to be able
[00:42:01] to market to that particular audience.
[00:42:03] >> So data is power. Why do you think the
[00:42:05] government and all these large AI
[00:42:07] companies are collecting so much data,
[00:42:08] right?
[00:42:09] >> That's the that's going to be the
[00:42:10] highest
[00:42:10] >> in all the all the social media
[00:42:13] platforms.
[00:42:13] >> So what you like, how you like it.
[00:42:15] >> I just realized I think I read where
[00:42:17] Facebook collects I think almost 60
[00:42:20] pieces of information on you when you
[00:42:22] just log in
[00:42:22] >> and your phone is listening to you,
[00:42:24] >> right,
[00:42:24] >> as well,
[00:42:25] >> even though they say it isn't.
[00:42:27] >> Yeah,
[00:42:28] >> it is. They claim that it doesn't, but
[00:42:30] that's not
[00:42:30] >> that's for another time. Yeah. Um, so
[00:42:32] really
[00:42:33] >> it's for your safety.
[00:42:34] >> That's that's where like the whole like
[00:42:35] we're talking. It's for your safety.
[00:42:37] >> Oh yeah, it is. We could get political
[00:42:39] here, but I'd rather not.
[00:42:41] >> Yeah.
[00:42:41] >> I don't like getting political, so
[00:42:43] that's fine.
[00:42:43] >> Kind of like that socialization is both
[00:42:45] from a training perspective. It's
[00:42:47] looking at the culture and making sure
[00:42:49] that people understand, like you said,
[00:42:51] the why, but then also the how. So,
[00:42:54] okay, let's say in a workflow, you see
[00:42:56] this person for a haircut. You know,
[00:42:58] that uh client profile gets updated and
[00:43:01] then, you know, someone then goes into
[00:43:03] that profile and updates it with maybe
[00:43:05] what their preferences were for that
[00:43:06] experience or whatever it is. And then,
[00:43:08] you know, every week, every month,
[00:43:09] there's reports that are being run and
[00:43:11] then, like you said, we're making
[00:43:13] changes to the marketing. We're making
[00:43:15] changes to the services. Maybe Bobs are
[00:43:17] out. I mean, hopefully not, right?
[00:43:20] >> Well, I I'm going to interject. So maybe
[00:43:22] they like Lacroy or maybe they like
[00:43:24] >> Is this sponsored by Lacroy?
[00:43:26] >> No. Maybe they like uh an Americana
[00:43:28] coffee. So now this is where I'm where I
[00:43:31] like to go cuz this goes back to my
[00:43:33] experience back in the early 90s
[00:43:34] creating a going from a paper system to
[00:43:37] a computerized. I'm like you're trying
[00:43:39] to take away my job. And then you know
[00:43:41] luckily we had buyin from the CEO all
[00:43:43] the way down. They're like no no no no
[00:43:45] your job is safe. we want you to spend
[00:43:46] more time with the customer
[00:43:48] >> like and now we're going to give you
[00:43:50] data like for this system I put it as a
[00:43:52] paint system and I'm I'm not sure this
[00:43:54] is true I'm making this up so this is
[00:43:56] fictional but let's just say for example
[00:43:58] they have this paint system and because
[00:44:00] now that it's automated this person's
[00:44:02] not working their fingers to the bone
[00:44:03] trying to figure out how to order the
[00:44:05] paint which paint's going to run out and
[00:44:06] this and that now they can sit down with
[00:44:07] the customer Mr. customer. I did a
[00:44:10] report and I noticed that every third
[00:44:11] month you're running this one color. If
[00:44:14] we could combine those orders and do
[00:44:15] them in one month and then do like batch
[00:44:19] your colors together and I could buy
[00:44:21] more paint to run those orders, I could
[00:44:23] save you 20% on your processing fees
[00:44:27] >> or like the way that I like to think
[00:44:28] about it is I could upsell them on
[00:44:30] something
[00:44:30] >> or upsell them. But the point is now you
[00:44:32] have the data and you have the time to
[00:44:35] do the analysis to then do the upsell or
[00:44:38] have the consultation with said customer
[00:44:41] or figure out that oh let me make sure I
[00:44:42] have that lacroy out or that Americana
[00:44:44] sitting for that customer cuz Bob's
[00:44:46] coming in today. You said Bob haircut
[00:44:48] not Bob person but whatever. Um
[00:44:50] >> all the Bobs all the Bobs are here.
[00:44:52] >> All the if your name is Bob just know
[00:44:54] that we love you.
[00:44:56] And and I think that's where a lot of
[00:44:58] people are failing to make the
[00:44:59] connection, right? And if you can train
[00:45:02] them up so they can save 10, 20 minutes
[00:45:05] a day, and that's a 10-minute
[00:45:06] conversation they could have with a
[00:45:07] customer that builds that humanto human
[00:45:09] conversation and relationship with I see
[00:45:12] it. It is going to probably reduce staff
[00:45:14] requirements. I do see that. I just hope
[00:45:17] what the higherups realize is that that
[00:45:19] humanto human contact whether that's
[00:45:21] over a phone or personalized email. I
[00:45:24] think you know think about your
[00:45:25] experience with the automated systems
[00:45:27] when you try to call and get help for
[00:45:28] your cable internet.
[00:45:29] >> Oh, and even worse, I don't know if
[00:45:31] you've seen the ones at the pharmacy.
[00:45:33] Press one and it's like they tell me
[00:45:35] like 2,000 things I need to be pressing
[00:45:37] and then I just end up just yelling
[00:45:39] operator,
[00:45:41] operator. So yeah, I mean I actually
[00:45:44] I'll give you an example cuz you know
[00:45:45] I'm a big proponent of AI. Everybody
[00:45:47] knows this. That's why I'm here. On one
[00:45:49] side I had an accountant that I was
[00:45:52] interviewing to do my my business taxes.
[00:45:54] So she sends me a calendar link. It was
[00:45:56] super easy to book a time with her, but
[00:45:58] then for some reason her automated
[00:46:00] system, I don't know what the back end
[00:46:02] of that was, it sent me like three
[00:46:04] different emails. Then when I needed to
[00:46:06] get in touch with her, when I called the
[00:46:08] phone number, it was disconnected and I
[00:46:10] was like, "What is going on? I I have no
[00:46:12] idea. And then eventually when I sent
[00:46:14] her a different email and I needed to
[00:46:15] reschedu very quickly and the calendar
[00:46:18] link didn't have that time. It was just
[00:46:20] a hot mess express. Okay. And I actually
[00:46:23] didn't end up going with that account.
[00:46:24] On the other side, there's a different
[00:46:26] accountant who I I'm good friends with
[00:46:29] um his wife where every time I've called
[00:46:32] the number, he picks up. He honestly
[00:46:34] probably hates me right now,
[00:46:36] but I've had such a great experience
[00:46:39] because every time that I've needed
[00:46:41] something and I'm doing business with
[00:46:43] them now and I'm wondering if if like
[00:46:45] you're saying that human element is
[00:46:46] really what's making the difference
[00:46:48] here.
[00:46:48] >> So is that part of your considerations
[00:46:50] when you're making your recommendations?
[00:46:52] Do you look at that as well?
[00:46:53] >> I mean I definitely do. So I'll give you
[00:46:55] an example. So
[00:46:56] >> because that that example you just gave
[00:46:58] is like gold.
[00:46:59] >> Yeah. I mean
[00:47:00] >> really truly it is like you know oh I
[00:47:03] can just pick up the phone I'll actually
[00:47:04] get a hold of somebody that can take
[00:47:06] care now if you did have an AI automated
[00:47:08] attendant that you could just say hey
[00:47:10] can you change my appointment from this
[00:47:12] to this
[00:47:12] >> yeah you probably would have been okay
[00:47:14] with that too though
[00:47:15] >> and there are a lot of good systems I I
[00:47:17] called to make a reservation I think it
[00:47:18] was Okchobee steakhouse here on Okchobee
[00:47:21] so I called it was an AI I could tell
[00:47:23] and it said okay for parties of seven or
[00:47:26] less um we're about to text you a link
[00:47:28] to your phone number to book online. And
[00:47:30] I was like, "Oh, cool." So then boom, I
[00:47:32] immediately get a link and I can book
[00:47:34] online, right? And so that was a a
[00:47:36] really great workflow that was AI
[00:47:39] generated that I I felt I almost felt
[00:47:41] like there was like a personal touch cuz
[00:47:42] I got a text message, right?
[00:47:44] >> You know, so so I think that you really
[00:47:46] have to be looking at it uh from a
[00:47:48] holistic lens.
[00:47:49] >> Correct. and not trying to replace like
[00:47:52] I I don't think that it's sustainable
[00:47:53] for the accountant that I have now to
[00:47:56] continue because now he's an accountant.
[00:47:58] He's not supposed to be doing customer
[00:48:00] service, right?
[00:48:01] >> You know what I mean? So like my
[00:48:02] perspective on workflow is it it might
[00:48:05] not be sustainable to have this high
[00:48:07] level of personal touch, especially if
[00:48:10] you're trying to scale your business.
[00:48:12] And so it's how do you kind of maybe
[00:48:13] find that middle ground with Okchobee
[00:48:15] Steakhouse? I'm giving them a shout out.
[00:48:18] Um, I actually never been there. So, if
[00:48:20] Okobee Steakhouse is listening and you
[00:48:22] want to send us a gift card, that'd be
[00:48:23] really cool. Kind of like that uh
[00:48:26] customized workflow where you can have
[00:48:28] AI inserted, but it's seamless for the
[00:48:31] customer. And if if I would have needed
[00:48:33] maybe a a different concern, maybe
[00:48:36] that's when a human can step in. So, we
[00:48:38] call that human in the loop.
[00:48:40] >> Human in the loop.
[00:48:41] >> So, I'll give you an AI example. So, I'm
[00:48:43] working with a client now. and they have
[00:48:45] a bunch of of case managers that go out.
[00:48:47] And so I'm not trying to replace the
[00:48:49] case management that's happening between
[00:48:51] them and their client, but I'm trying to
[00:48:53] decrease the documentation uh burden.
[00:48:56] >> Mhm.
[00:48:57] >> Right. So when they come home or when
[00:48:58] they go back to the office and they have
[00:49:00] to type up all these notes, what if they
[00:49:01] use AI to help them? What if they use AI
[00:49:04] for example to run an analysis on a
[00:49:05] particular client to find out how
[00:49:07] they're doing in the program? Right? So
[00:49:09] that's when I I think it requires some
[00:49:12] intelligence and expertise to try to
[00:49:15] figure out where AI would be most
[00:49:16] useful. We're not trying to have AI go
[00:49:19] to this client's house and talk to them,
[00:49:22] right? And talk to them about sensitive
[00:49:24] information. Do you know what I'm
[00:49:25] saying? And so that's where I think it's
[00:49:27] important to not just blanketly
[00:49:29] implement AI in your business or
[00:49:32] >> it's going to fix everything. I think
[00:49:33] that's I think that's the not the uh the
[00:49:36] solution. And I think it's just make
[00:49:38] better use of our time that we have and
[00:49:40] take care of those repetitive test. I
[00:49:42] mean really honestly it's kind of like I
[00:49:44] I try to tell people chat GBT when it
[00:49:46] first came out cuz it can do more than
[00:49:48] that now but I think when it first came
[00:49:49] out I basically said it's like Google
[00:49:51] 2.0.
[00:49:51] >> Yeah it was just like a search
[00:49:53] functionality.
[00:49:54] >> I mean now it can do actually quite a
[00:49:56] bit more a lot more mature than it used
[00:49:58] to be as well.
[00:49:59] >> I mean it's on 5.2 and in the last like
[00:50:01] 6 months they've just implemented a lot
[00:50:03] more uh like integrations. They have a
[00:50:06] new deep research feature. Uh you can
[00:50:08] create projects and custom GPTs and yeah
[00:50:10] before it was
[00:50:11] >> have you used comet yet?
[00:50:12] >> I've used Atlas.
[00:50:13] >> So Atlas is the chat GBT browser,
[00:50:16] >> right? So same same idea. So comment is
[00:50:18] to perplexity as Atlas is to chat GBT
[00:50:21] >> cuz they're all like
[00:50:22] >> right they're all trying to get there.
[00:50:25] >> Everyone's just like I don't know what
[00:50:26] the end goal is.
[00:50:27] >> I mean Elon Musk said it was eventually
[00:50:29] your phone's not going to have any apps.
[00:50:31] It's just going to be the AI.
[00:50:33] >> I mean I I believe that. That's what I
[00:50:35] was talking to you about before where
[00:50:36] we're going to integrate all of these
[00:50:37] different kinds of applications.
[00:50:40] >> I mean, it kind of is now like so I am
[00:50:42] >> well if you do the atlas or the comment
[00:50:44] it's the same thing or with Siri. So
[00:50:45] like I'm actually don't say the s word
[00:50:49] actually
[00:50:49] >> and we have we have an a word over here.
[00:50:52] So yesterday when I was doing a training
[00:50:54] online for some women entrepreneurs
[00:50:58] talking about her sword and I said sword
[00:51:01] play bad bunny and she started playing
[00:51:03] bad bunny in the middle of me doing this
[00:51:06] zoom call with everybody and so it was
[00:51:07] very funny
[00:51:08] >> and um yeah to kind of go back to some
[00:51:11] of the things that you were saying I
[00:51:13] definitely think it's it's advanced
[00:51:14] tremendously but again I don't think the
[00:51:16] average person really knows how to use
[00:51:18] it or what it can be used for even for
[00:51:20] personal things. Um, one woman yesterday
[00:51:22] was saying that she uses it a lot for
[00:51:24] cooking, but again, that's kind of
[00:51:25] Google, right? Like you can look up
[00:51:27] recipes and things like that.
[00:51:28] >> Um, it's a little bit more advanced than
[00:51:30] that. Like like for example, I have some
[00:51:32] food sensitivities. So, I have an Alcat
[00:51:35] test result. So, I can load in the Alcat
[00:51:38] test results. I can take a picture of
[00:51:40] the menu, the restaurant I'm at, and I'm
[00:51:41] saying, "What are my best options given
[00:51:44] my food sensitivities?"
[00:51:46] >> You can even I saw this woman once.
[00:51:48] >> So, that's beyond a Google 2.0.
[00:51:49] >> Oh, yeah. I think if you're just using
[00:51:51] it for recipes and things like that or
[00:51:53] like how much?
[00:51:54] >> But you could take a picture of your
[00:51:55] refrigerator in your cupboard and say,
[00:51:57] "What's something I could make?"
[00:51:58] >> Oh, 100%. Like sometimes I I'll give it
[00:52:00] to
[00:52:00] >> That's not using it for a recipe. That's
[00:52:02] just saying, "Look at look at my
[00:52:03] cupboard. Look at my refrigerator.
[00:52:06] Here's what I got. Figure it out. What
[00:52:08] can we have for dinner tonight?"
[00:52:09] >> No, I love that. And I actually used it
[00:52:11] the other day where I was cooking beef
[00:52:13] stew and I didn't have some of the
[00:52:15] ingredients. So I said, "I don't have
[00:52:16] these. So, can you write me a recipe
[00:52:18] that doesn't have this but does have
[00:52:20] this? And then actually that beef stew
[00:52:22] was actually fire. So, it was really
[00:52:24] great. But you still have to have beef
[00:52:27] for beef stew. Just just FYI, you can't
[00:52:30] you can't you can't circumvent
[00:52:31] everything,
[00:52:32] >> right?
[00:52:33] >> Um but yeah, I I've even seen folks and
[00:52:35] I've tried this before. If you go to the
[00:52:37] grocery store and you take a picture of
[00:52:38] like all of the watermelons and you're
[00:52:40] like, "Which one is ripe?" It can give
[00:52:42] you information on which one potentially
[00:52:45] with some level of accuracy is the
[00:52:47] ripest one in the bunch.
[00:52:49] >> Really?
[00:52:49] >> Yeah.
[00:52:50] >> That's interesting.
[00:52:50] >> Because you're using like there was a
[00:52:52] woman that I saw that she was doing this
[00:52:54] like with a lot of different like fruits
[00:52:56] and vegetables and things like that.
[00:52:57] Yeah. Basically just like taking photos
[00:52:59] and videos and being like how ripe or or
[00:53:01] like the selection of this product or
[00:53:03] whatever it is. Um so I I really think
[00:53:06] that you can do a lot. But then again,
[00:53:08] I'm also a big proponent of like I like
[00:53:10] going to the grocery store. I don't I
[00:53:12] don't want, for example, an AI, an
[00:53:14] Instacart bringing all my groceries to
[00:53:16] my house. Then what am I even doing in
[00:53:18] my life? You know what I mean?
[00:53:20] >> Yeah.
[00:53:20] >> It's like I'm I think eventually we're
[00:53:22] going to have to sort of reckon with how
[00:53:25] involved we want AI to be in our lives,
[00:53:27] our personal lives. Like, you know, Neo
[00:53:30] or some of these humanoid robots,
[00:53:32] >> right? There's going to be the uh what's
[00:53:34] the Tesla one? do everything and clean
[00:53:36] your house.
[00:53:37] >> Walk your dog, clean your house, vacuum,
[00:53:39] cut the grass, go grocery shopping, cook
[00:53:42] your meals like a Michelin star chef.
[00:53:45] Yeah.
[00:53:45] >> Right. But it's sort of
[00:53:47] >> for like $25,000. Like, who wouldn't
[00:53:49] want to buy one? I mean, that's that's
[00:53:50] making it like available to pretty large
[00:53:53] population.
[00:53:54] >> I mean, not to everyone. I think that's
[00:53:55] still like pretty
[00:53:56] >> That's a car. That's a low-end car
[00:53:58] >> for the average person that I think
[00:54:00] there was an Alice report like the
[00:54:01] average person in Palm Beach County is
[00:54:03] making like a $40,000 a year. So, they
[00:54:07] can't afford $25,000 robot. So, I think
[00:54:10] that's still pretty inaccessible to the
[00:54:11] average person. But I think what I'm
[00:54:13] trying to get at is like how involved do
[00:54:15] we want technology in our daily like
[00:54:18] personal lives? You know what I mean?
[00:54:20] Like there's still such a beauty for
[00:54:22] example in cooking a meal, right? Like
[00:54:24] you can outsource that if you're wealthy
[00:54:25] enough to have a private chef.
[00:54:27] >> Well, why have a dog if you're not going
[00:54:28] to walk it?
[00:54:29] >> I don't like dogs.
[00:54:30] >> I know, but I'm just I have a dog and I
[00:54:32] like my dog and I should walk it more
[00:54:34] than I do. And I'm sure
[00:54:36] >> Do you walk your dog or do does your dog
[00:54:38] walk you?
[00:54:38] >> No, I walk my dog.
[00:54:40] >> Okay. Cuz sometimes I see dogs and I'm
[00:54:42] like I feel like in there's a reverse
[00:54:45] relationship here.
[00:54:46] >> Well, there's still a reverse
[00:54:47] relationship because I'm picking up.
[00:54:48] It's crap.
[00:54:49] >> That's what I'm saying. So, it doesn't
[00:54:51] matter whether the dog walks me or I
[00:54:52] walk the dog, I'm still picking up the
[00:54:53] crap like like what's going on in this
[00:54:56] picture.
[00:54:57] >> I know. That's such an interesting like
[00:54:59] sometimes I think about certain things
[00:55:00] and I'm like why did we come up with
[00:55:02] this as humans?
[00:55:03] >> I don't know because I sit and so she's
[00:55:05] got a spot on the sofa and it's her and
[00:55:07] it's her spot and if you're sitting in
[00:55:09] it the world is coming to an end for
[00:55:11] this dog. I mean just sit there and cry
[00:55:13] and moan and groan and then you get up
[00:55:15] and you're like what is the matter with
[00:55:17] you? And then she climbs up into the
[00:55:19] sofa. So, the problem was you're in her
[00:55:21] spot.
[00:55:21] >> Wow.
[00:55:22] >> Yeah. She's a little princess.
[00:55:24] >> The cats that live at my parents house,
[00:55:26] they own that house
[00:55:28] >> and then my parents just so happen to
[00:55:30] live there.
[00:55:31] >> Well, I love the meme that's out there
[00:55:33] where it's like a little video where it
[00:55:34] says uh follow me for financial advice.
[00:55:37] I have a a chauffeur and a chef and a
[00:55:42] personal trainer and a living
[00:55:44] >> and a therapist and a therapist.
[00:55:48] >> A professional petter.
[00:55:50] >> Exactly.
[00:55:51] >> Yeah. Know
[00:55:51] >> somehow. Yeah. So, what are we do? We're
[00:55:53] doing something wrong here.
[00:55:54] >> I don't know. But what what's your take
[00:55:56] on kind of like the evolution of AI and
[00:55:59] technology to be more incorporated into
[00:56:01] like our personal lives and and things
[00:56:03] like that?
[00:56:04] >> I don't know. I think it's um so you've
[00:56:06] got the chat GBT and the thing that you
[00:56:08] can sit there and talk to it, right?
[00:56:09] You've got that side of it. I guess the
[00:56:12] angle I come from because I have a IT
[00:56:14] background where and I'd be curious to
[00:56:17] find out your thoughts on this. So I
[00:56:19] just took a trip to Europe and I created
[00:56:22] my own PWA static app, static data app
[00:56:26] where didn't require any internet. It
[00:56:28] would update you could, you know, as
[00:56:29] you're using it have it. And what I
[00:56:31] created it for was to have my entire
[00:56:32] itinerary. We were doing a bicycle ride,
[00:56:35] so I wanted to know when the sun was
[00:56:36] going to rise, when it was going to set
[00:56:37] based on the geoloccation of the booking
[00:56:40] that we went through booking.com.
[00:56:42] >> And so all of this stuff was built in to
[00:56:44] this app. This thing would cost hundreds
[00:56:46] of thousands of dollars in the past.
[00:56:48] >> Yeah, now you can.
[00:56:49] >> There's no way. And I vibecoded it with
[00:56:51] Replet. There's so many opportunities
[00:56:53] like that out there where I feel like
[00:56:57] there's applications that were never
[00:56:58] written not because it was a bad idea
[00:57:00] because it wasn't financially feasible,
[00:57:02] >> right?
[00:57:03] >> And so how many applications can be
[00:57:05] provided today due to the fact that now
[00:57:08] it's financially I mean I did it within
[00:57:10] I think I probably spent 20 to 30 hours
[00:57:12] writing it. Even if I charged myself a h
[00:57:15] 100red bucks an hour, that's like that's
[00:57:18] nothing compared to what it would have
[00:57:20] been an entire team of developers to
[00:57:21] develop that application.
[00:57:23] >> No, absolutely. One of the things I will
[00:57:24] say and this is my perspective on it and
[00:57:26] my team's perspective is that that's
[00:57:28] great for like your personal use. But if
[00:57:30] you're trying to put that into the
[00:57:31] market, you would definitely need to
[00:57:32] have a team. Um, and even look at the
[00:57:35] data security and all. Oh yeah, there's
[00:57:36] a whole other Yeah,
[00:57:37] >> there's a lot of folks now like you can
[00:57:39] code an app in like 5 seconds and I'm
[00:57:41] like that's great but that's not going
[00:57:43] to be something for
[00:57:44] >> personal use for personal use
[00:57:47] >> not for commercial. I will say though,
[00:57:49] we're different travelers,
[00:57:50] >> but but even but even for that matter,
[00:57:53] even um companies for internal use,
[00:57:56] >> right? they could totally make something
[00:57:58] >> some app that for whatever reason just
[00:58:00] and I'm sure most companies and I don't
[00:58:02] know if you run it if they ever share
[00:58:03] with you when you're coming and talking
[00:58:04] to them but most companies will have
[00:58:06] some sort of a road map a list of all
[00:58:08] these IT project that they you know
[00:58:10] their their dream could I have it to do
[00:58:12] the duh duh duh duh duh from the IT
[00:58:14] department and IT department
[00:58:16] >> notoriously would be like well we can't
[00:58:17] get that we can't get to I mean the list
[00:58:19] is a mile long and they're only going to
[00:58:21] do like a small section of it because
[00:58:22] that's all they have the resources and
[00:58:24] time for the team that they have
[00:58:25] >> right So now all of a sudden with vibe
[00:58:27] coding there's all these opportunities
[00:58:29] to have all these different apps. I mean
[00:58:31] there's still security issues. There's
[00:58:32] but I don't know. I just think I think
[00:58:34] it's opens up a lot of opportunities
[00:58:37] for organizations and even personal on
[00:58:40] the personal because you ask on the
[00:58:41] personal on the personal side
[00:58:43] >> of being able to have an application
[00:58:45] that you thought well this would be
[00:58:46] really helpful. You scratch your own
[00:58:48] itch. You go out to vibe code it and now
[00:58:49] now all of a sudden you've got an app
[00:58:50] that does what you need it to do.
[00:58:52] >> Yeah. And we've definitely used it on
[00:58:54] the side of uh creating like a good
[00:58:56] first rendition of something. So like
[00:58:59] being able to communicate with a client
[00:59:00] and be able to say like okay is this
[00:59:02] really like what your dream is, right?
[00:59:04] Not only just from a UI uh perspective,
[00:59:06] but also from a user perspective, right?
[00:59:09] So you want the user to log in, you want
[00:59:10] them to do this, this and that. Like we
[00:59:12] can use Replet and lovable and some of
[00:59:13] these other kinds of apps. But again,
[00:59:15] really talking about the fact that this
[00:59:17] is not a fully developed app yet and
[00:59:19] that you can't be like selling it and
[00:59:21] things like that. But yeah, I definitely
[00:59:22] think that there's so many opportunities
[00:59:24] like you said to be creative,
[00:59:26] >> right? Like the creativity, the
[00:59:28] imagination, like I mean I would have
[00:59:29] loved like as a kid to be able to like
[00:59:31] create an app maybe to be able to
[00:59:33] analyze like which ramen is the best
[00:59:36] ramen at the grocery store. You know
[00:59:38] what I mean? Like
[00:59:38] >> Exactly.
[00:59:39] >> I we I we never had that. Like when I
[00:59:41] was a kid, we my parents had a desktop
[00:59:43] and then we had like this thing called
[00:59:44] Leaprog and you would like click
[00:59:46] different things in the Leaprog.
[00:59:48] Remember that? And then um eventually
[00:59:50] there was like laptops.
[00:59:51] >> I had a TI99. That was That's amazing.
[00:59:53] >> T Oh my god. I had a TI89.
[00:59:55] >> No, 99. I think it was
[00:59:56] >> 99. I had an 89. It was like the
[00:59:59] calculator.
[01:00:00] >> No, no. This is a This is a keyboard
[01:00:02] that had like a little cartridge, like
[01:00:04] an Atari cartridge, so it could play
[01:00:05] games, but it was also a computer.
[01:00:07] >> Wow. I never had that. the Nintendo.
[01:00:09] >> This is from like the 1970s, like
[01:00:12] Commodore 64.
[01:00:12] >> I was born in 1997. So,
[01:00:14] >> yeah. So, this is like a 20 years prior
[01:00:17] or or more. More probably more.
[01:00:19] >> I did have a CD player though. Shout out
[01:00:21] to CDs. CD.
[01:00:23] >> I actually found one the other day. It
[01:00:24] was like Hannah Montana CD. I was like,
[01:00:26] a CD? Where would I even play this right
[01:00:28] now?
[01:00:29] >> I don't know.
[01:00:30] >> Like I mean, you got to have a CD player
[01:00:31] or something or like remember the D the
[01:00:34] Blu-rays and the DVDs and all that
[01:00:36] nonsense.
[01:00:36] >> Yeah, that's a good VHS VHS's.
[01:00:40] >> So, I have a bunch of VHS's from my
[01:00:42] childhood that are all uh since I'm from
[01:00:45] Mexico, they're all um Hispanic. Some of
[01:00:47] them, a lot of them are Disney, but
[01:00:49] they're in Spanish.
[01:00:50] >> Oh, yeah. All of mine were
[01:00:51] >> like Bambi and Spanish on VHS.
[01:00:53] >> My My kids never saw Lion King in
[01:00:56] English
[01:00:57] >> while they were little.
[01:00:58] >> Did you So, you only you only know Lion
[01:01:01] King in Spanish?
[01:01:02] >> No, I think you know what Bug's Life?
[01:01:05] >> Yeah. I like only have ever watched that
[01:01:07] movie in Spanish.
[01:01:10] >> Fleek. Like in English it's flick,
[01:01:12] >> right? Fleek.
[01:01:14] >> Fleek.
[01:01:17] And they're like I actually honestly
[01:01:19] right now I need to watch that movie
[01:01:21] immediately. Um well, we've gotten
[01:01:23] really off topic. Um but I think
[01:01:25] >> that's okay. I think the final point is
[01:01:26] there's a place for AI and I think where
[01:01:30] having your team come in really helps.
[01:01:33] having a plan instead of just this like
[01:01:35] >> fragmentation,
[01:01:36] >> right? Fragmentation and then focusing
[01:01:39] on an actual benefit like, okay, let's
[01:01:42] take a look. Even if you came in just
[01:01:44] for a few hours, I'm sure you can walk
[01:01:45] away with a benefit.
[01:01:46] >> The benefit like I'm telling you that
[01:01:48] 1-hour training I did on co-pilot, it
[01:01:50] was just amazing. Like the output and
[01:01:54] the confidence of these women was 10
[01:01:56] times more when I walked out than I it
[01:01:58] was when I first came in. So they were
[01:02:00] even telling me like that they needed to
[01:02:02] create a birthday card and some flyers
[01:02:04] for an event and while we were in the
[01:02:06] training they were already making them
[01:02:08] and printing them out.
[01:02:09] >> Oh wow.
[01:02:10] >> So it's it's one of those things where
[01:02:12] people ask me all the time like what's
[01:02:13] the value? It's like that is the value.
[01:02:16] It's both inspiring confidence in your
[01:02:18] staff to tackle new things cuz this is
[01:02:21] not going to be the last new thing that
[01:02:23] happens. And number two it's just
[01:02:24] inspiring them to use it in their own
[01:02:26] creative ways. Like I always say, I
[01:02:28] don't work here, but I should cuz it
[01:02:30] would be really fun to hang out with you
[01:02:31] guys all the time. But what I want to
[01:02:33] inspire in you is for you to use this in
[01:02:36] your daily work. Like if you are
[01:02:38] creating flyers all the time, find a way
[01:02:40] to leverage and use AI through prompts,
[01:02:43] uh through image generation, through
[01:02:45] video creation to create flyers. And
[01:02:47] that's going to save you a lot of time
[01:02:49] and really enhance your ability to be
[01:02:50] creative, which then will help you do
[01:02:52] your job. these women, a lot of them
[01:02:54] create these events and and gatherings
[01:02:57] with children. That's kind of my message
[01:02:59] is really just like think about yourself
[01:03:01] as a kid. You you wanted to be curious
[01:03:04] about the world. Pick things up, put
[01:03:05] them in your mouth, have fun with it.
[01:03:07] Um, that's what I would recommend to
[01:03:09] people now is to really implore that
[01:03:12] same c curiosity to AI and all these new
[01:03:14] tools that are coming out, but also stay
[01:03:16] educated on the new policies and uh, you
[01:03:19] know, not putting any personal
[01:03:20] identifying information and and that
[01:03:22] could really compromise your business or
[01:03:24] your nonprofit.
[01:03:25] >> Oh, I do want to touch on base on this.
[01:03:27] This is a new term that I just learned
[01:03:29] that I'm still not sure I understand
[01:03:32] 100%. What does tenant mean?
[01:03:34] >> Tenant?
[01:03:35] >> Yeah, like tenant AI. tenant is
[01:03:37] essentially your organization's
[01:03:38] dedicated instance or container in the
[01:03:41] cloud holds all your users and groups
[01:03:43] security settings and signin policies
[01:03:45] registered applications.
[01:03:47] >> Yeah. But that's not related necessarily
[01:03:48] to AI. That's more related to the cloud.
[01:03:51] I mean everything is in a lot of what we
[01:03:54] do now like with my team we build in in
[01:03:56] the Google like interface and we build
[01:03:58] in the Google cloud. We're now seeing
[01:04:00] more and more uh folks wanting to build
[01:04:02] locally as well for
[01:04:04] >> right like a private like a private AI.
[01:04:07] >> Exactly. Um
[01:04:08] >> are you working with like a MSP for
[01:04:10] something like that or
[01:04:11] >> So we're actually and I can't talk a lot
[01:04:14] about this because it's proprietary but
[01:04:17] we we are working to build like our own
[01:04:20] little kind of box where you would be
[01:04:21] able to run an LLM locally. Okay. Um and
[01:04:24] that would really empower people to not
[01:04:27] be relying on the cloud number one to
[01:04:30] have higher data security and then also
[01:04:31] not relying on the internet for example.
[01:04:34] Like so we could bring this to for
[01:04:35] example communities in rural areas
[01:04:38] because I I still think that AI is is
[01:04:40] heavily reliant now on the cloud and the
[01:04:43] internet connectivity that folks have
[01:04:45] which is really going to leave folks
[01:04:46] that are in rural areas, people that are
[01:04:48] in poverty behind. I used to work with a
[01:04:50] community in rural Nicaragua in college
[01:04:52] doing research with them. There's no
[01:04:54] electricity there. There's no running
[01:04:55] water. So, I'm pretty sure that AI is
[01:04:58] not there. I can probably bet you $10.
[01:05:01] Um, when I went there back in like 2018,
[01:05:05] there was some folks that started to
[01:05:06] have cell phones, but they would need to
[01:05:08] charge them somewhere else or have like
[01:05:10] batteries,
[01:05:11] >> right? And so being able to have
[01:05:12] something
[01:05:13] >> let's be clear batteries meaning like
[01:05:15] >> big batteries so they could charge
[01:05:16] >> so they can charge their phones and
[01:05:18] things like that
[01:05:18] >> or like a portable battery
[01:05:19] >> like a portable char like you know when
[01:05:21] you like charge those batteries to go
[01:05:23] >> like a big brick
[01:05:24] >> like those bricks like I have one that's
[01:05:25] pink and then I I can charge that and
[01:05:27] then it charges my phone like on the
[01:05:29] plane or when I'm traveling and on the
[01:05:30] go. So yeah, I think the the whole local
[01:05:33] aspect will definitely be really
[01:05:35] important not only from the data
[01:05:37] security side but also from being able
[01:05:39] to empower people who are maybe in
[01:05:41] different kinds of circumstances. But
[01:05:42] yeah, I think I'm I'm really grateful
[01:05:44] for the conversation today.
[01:05:45] >> Oh yeah, it was great.
[01:05:46] >> Is there anything you any last question
[01:05:49] that you want to round out with or any
[01:05:50] last CTA?
[01:05:52] >> So I have a little present for you.
[01:05:54] >> Oh, okay.
[01:05:54] >> I didn't get a chance to write on it.
[01:05:56] >> Is this soap?
[01:05:57] >> That's soap. And so this is my wife's
[01:06:01] business and it's just in the start. So
[01:06:05] she's preparing to launch Maya soap and
[01:06:07] we're offering a limited number of
[01:06:08] complimentary bars to viewers who engage
[01:06:10] directly with the show. What we prefer
[01:06:13] is you participate in a human way by
[01:06:15] sending an actual letter with your name,
[01:06:17] mailing address, email, phone number,
[01:06:19] and which episode you watched. And I
[01:06:21] have an address in the description. And
[01:06:23] complimentary bars are offered in
[01:06:24] limited quantities and subject to
[01:06:26] availability. if you send me a card, you
[01:06:28] go to the top of the list. We'll
[01:06:29] probably have some sort of a form for
[01:06:30] you to submit to. And so that's So she's
[01:06:33] sponsoring my show. I don't know if she
[01:06:35] was actually ask if she's sponsoring
[01:06:36] your show, but I just assume that she
[01:06:38] would.
[01:06:39] >> This is sponsored by uh You said My
[01:06:42] Soap.
[01:06:42] >> Maya Soap. That's the name of it. Yeah.
[01:06:44] >> Awesome. That's great. I I will say
[01:06:46] though, for folks that are probably Gen
[01:06:49] Z, I am not sure I really write any
[01:06:51] letters anymore. So you might want to
[01:06:52] consider some sort of form and QR code.
[01:06:55] I'll do a form, but uh I'm I'm trying to
[01:06:58] go. We're going old school. Yeah. Yeah.
[01:07:01] Since I'm not meta anymore. So anyway,
[01:07:04] Caitlyn, it's been really nice having
[01:07:07] you. Absolutely. It's been a great
[01:07:08] conversation.
[01:07:09] >> So, my name is Caitlyn MSAS and I am the
[01:07:11] bot queen. You can find me at
[01:07:13] www.botqueen.ai.
[01:07:16] I'm also on my social media is
[01:07:18] botqueen.ai. I'm on Instagram, I'm on
[01:07:20] Tik Tok, and also on LinkedIn. Uh my
[01:07:23] LinkedIn is Caitlyn MSUS. So if you want
[01:07:25] to follow me there and connect, that'd
[01:07:27] be great. And I really appreciate it,
[01:07:28] Kirk. And maybe one time we can do
[01:07:31] another chat uh different topic,
[01:07:33] different day. But I really appreciate
[01:07:34] it.
[01:07:34] >> Maybe we talk about vibe coding or
[01:07:36] something.
[01:07:36] >> Vive coding. Maybe we could vibe code
[01:07:38] something.
[01:07:39] >> That would be fun.
[01:07:40] >> We or that would be like more like of a
[01:07:42] live stream where
[01:07:43] >> that'd be like a live stream. We could
[01:07:44] like vibe code live and you could
[01:07:45] actually
[01:07:46] >> maybe like the audience could tell us
[01:07:47] like what they want us to vibe code you
[01:07:49] know like some weird stuff like I want
[01:07:52] to like I said the ramen example like I
[01:07:54] want something that nobody actually
[01:07:56] needs but sounds funny. Do you know what
[01:07:58] I mean?
[01:07:58] >> Exactly. Yeah.
[01:07:59] >> I think all the environmentalists are
[01:08:01] going to kill me cuz they're going to be
[01:08:02] like why are you using up energy and
[01:08:04] tokens on ramen and nonsense?
[01:08:07] >> I don't know. I don't know. It's just
[01:08:08] for entertainment.
[01:08:09] >> It's entertainment. Yeah. Just like when
[01:08:11] you're watching a TV show, right? The
[01:08:13] Bachelor or or all those kinds of
[01:08:15] things. But I really appreciate it.
[01:08:16] >> Yeah. Thanks so much. I really
[01:08:17] appreciate stopping by.