Ep #136: I found the future of AI for CMOs

Transcript:

00:00:00 Casey: In this episode, I wanna talk to you about what is accelerating and what is collapsing in marketing, specifically around AI and a new tool that I’ve been playing with with AI that to me feels like the thing that we’ve been waiting for. 

00:00:15 Casey: Marketers of the world, why do we work hard to solve small problems? Why do we reinvent ourselves and our clients over and over? And why are we giving away marketing strategy for free? With advancements in AI, we’re all seeing the marketing department shrink from the bottom up and companies need you to serve them as their fractional chief marketing officer. It’s time to solve bigger problems and bring home a bigger paycheck. It’s time to create the lifestyle we deserve and to make a greater impact. 

00:00:47 Casey: This is the Fractional CMO Show and I’m Casey Stanton. Join me as we explore this growing industry and learn to solve bigger problems as marketing leaders. The Fractional CMO Show is sponsored by CMOx, the number one company to teach you how to attract, convert and serve high-paying fractional CMO clients on your terms. 

00:01:11 Casey: All right, welcome back. I wanna talk to you about AI stuff. And if you know me, you know that I’m a tinkerer. You know that I like playing with AI stuff. You know that I’m interested in kind of what AI has to offer and a few years ago, I wrote my second book, Find Your CMO. And when I was writing it, I gave myself the opportunity to play with AI enough to decide, should I go all in with AI and leave this fractional CMO thing behind or should I stay a fractional CMO? And it became clear to me that the answer is be a fractional CMO, but understand technology and leverage it appropriately. 

00:01:50 Casey: So this isn’t me to come over here and say that I’m some AI maximalist. I think AI is overused in a lot of places. I think that there’s a lot of bad things about it. I think that, for example, I found recently that kind of everything that I’m reading online is just generated by AI. And for that reason, it all sounds the same. And it’s like the same person is wearing different faces and saying something to me. And I’m just so sick of the same turns of phrases and ways that LLM generated content looks and reads. It’s just frustrating to me and I hate it. So I think that that’s like an overuse of it. I think that some companies have adopted AI way too aggressively and they’ve gotten bad results. And that makes sense because they didn’t really understand the tool and they believe some panacea.

00:02:36 Casey: I think that there’s the charlatans on the internet that are selling like some AI one fix that will solve all your problems. You know, kind of like a la Russell Brunson, this like you’re one funnel away from success. Like rarely is that true. Like what are you really like messaging, offer, churn, actual customer satisfaction. You know, you’re a lot of reasons why you’re not successful. Your clients are not successful. Businesses are not successful. 

00:03:02 Casey: So I wanna give you my straight kind of take on what’s happening with AI because I had an experience over the last two weeks that fundamentally changed how I view AI. And I want you to hear about it. And maybe you’ve heard of it. So it came out as an open source project called OpenClawd. Clawd spelled like lobster claw, C-L-A-W-D. And OpenClawd was a repo on GitHub. If you don’t know what that means, I really think you should figure out what that means. You know, it’s a repository of code that open source developers put together and posted live on a website called GitHub. It’s like a Google drive of content, kind of, that they’ve produced these files. 

00:03:45 Casey: And as I pull up the OpenClawd GitHub repo right now, I can see that there’s just a ton of code that’s here. I mean, someone just made an update 27 minutes ago to this stuff. There’s 179,000 stars. These are people who have effectively liked the code. There’s 9,000 commits. So a commit is the code gets updated. So the code’s been updated 9,203 times at the point of recording. The code has been updated within the last week, within the last hour, within the last few minutes. So it’s like rapidly, rapidly growing. 

00:04:20 Casey: And I set this up. I run a headless computer in my basement. Don’t worry, all that means is I have a computer in my basement attached to my router, like to my network hardware, and I’m able to remote into it. It’s a pretty simple setup. If you’re interested in that kind of stuff, super useful to have a secondary computer that you can kind of break and do dumb stuff on. You probably have an old laptop, just like set the power so that it doesn’t turn off when you close the screen. The monitor can turn off and then turn on SSH and remote desktop on it, and that’s it. And then you just download the Microsoft Remote Desktop or maybe there’s something for Apple and you can remote into that computer.

00:04:59 Casey: So here I am sitting at my office desktop playing with this computer in my basement that’s kind of secluded on the network. So that I can’t hurt my other devices. And I installed the software called Clawdbot. And it was a pretty simple install, it’s command line. So if that feels funky to you, I get it. But I followed the instructions and then I grabbed my clawd.ai API key. Then I put like 25 bucks in tokens into Clawd and that was it. And I linked it into Slack that it was actually kind of arduous that I mean over an hour. 

00:05:34 Casey: But finally I got someone in Slack. I got a new character, a new person on my team in Slack that’s connected to Clawdbot and to Clawd. Whoa, that’s a lot of stuff. Here’s what happened. With that, I gave it information and it did work for me. In the platform of my choice, in the platform that I preferred. Like think about right now, one of the problems that you have, I assume with AI is that AI exists on the AI platforms but you don’t exist on the AI platforms. You’re on Google Meet, you’re on Slack, you’re on God forbid Teams. 

00:06:09 Casey: You’re living in that platform, you’re living in your email, you’re living in those places. And then when you wanna go ask AI, what do you gotta do? You gotta go like go over to like Copilot or Gemini or wherever Claude’s desktop app or claude.ai or chatgpt.com or whatever. And you go type in your request there. But really what you want, what I think we’re all after is this collapsing of the technology so that there are no walls between me and it. 

00:06:35 Casey: And I think of the role of the marketing technician and how fundamentally the marketing technician is a requirement for businesses but also is the next to go to AI. At least a lot of the components of what a marketing technician does. So zoom out, what’s a marketing tech? When I look at businesses as a fractional CMO, the goal is to develop the strategy and leadership and then the labor happens from someone else. That’s the implementation. And that implementation can happen from someone in the office. If that’s a requirement, sometimes it is. 

00:07:04 Casey: You know, I worked with a business. We had a bunch of dental practices. I needed someone to drive around to the dental practices and go kind of like make people do stuff. It’s a marketing technician. Like what was her role? Ah, kind of a lot of stuff. She was kind of my Jill of all trades, but I needed her. I absolutely had to have her. But I’ve worked in other businesses where I’ve just had laborers and it didn’t matter where they were. They could have been on vacation in, you know, Spain for all I knew. And they were still doing their work and everything was fine. We would meet on video or not. It didn’t matter. With a virtual background, like they could be anywhere in the world, right? I think of those people losing their edge now as AI tools are coming online.

00:07:43 Casey: So think, if I hired a marketing technician and they were across the state from me and I never met them, like a lot of people that I work with, I’ve never met in person. If those people, if I only interact with them on Slack, what’s the difference between them and an AI? Well, the answer is capability. But if capability starts to rise to their level of capability, then there’s not a whole lot of difference. And this is very interesting. 

00:08:10 Casey: So Clawdbot changed its name to MoltBot, changed its name to OpenClaw. It’s like some cease and desist from Claude. Now it’s called OpenClaw, like a claw on a lobster that’s open. Their emoji is a lobster. And you can do a whole bunch of stuff with OpenClaw. You can hook it up to your email and it can like review emails for you. You can hook it up to your Google Drive. You can put it into Slack, put it into WhatsApp, put it into Telegram, put it into Discord. You can have it do a bunch of stuff. There’s a ton of integrations. 

00:08:43 Casey: And I think there’s some significant concern with that. So much so that I think that the OpenClaw project is probably not worth using and we should wait six months for Claude.ai to release their version, which is gonna be like a shift from Claude Cowork to Claude Cowork next level that does this kind of integration. I think OpenClaw defined what was possible kind of in the absence of security measurements. And then we’re gonna find someone like Claude Anthropic is gonna do it with the proper security. So I think that this is what’s coming is that we’re gonna see this type of agentic in your platform or communication channel of choice, AI agent that does the work for you. 

00:09:31 Casey: I did a webinar and we ran ads for a webinar. And as you can imagine, this is like kind of a thing that you gotta do, which is like, okay, who RSVP’d for the webinar from the ads and then who attended the webinar from the ads? It’s like a pretty easy report. It’s like two reports and then you get to do like a VLOOKUP. I just gave that request to my Clawdbot and it pulled the answer for me fast, like in minutes when it would have taken a team member of mine like an hour. There’s something interesting about that.

00:10:01 Casey: Now I asked it to do other stuff and it kind of broke down and like, it was just, it started to lose context. But I think that context is a solvable problem and people have already proposed solutions. I think that inherently this idea is incredibly interesting, that we can have an agent that does the work for us in our communication channel. Like to me, that felt like there was a time in my life before that when I had to go to the AI to now where I’m just frustrated that AI doesn’t come to me more. It really broke a barrier down for me. And I don’t want AI as an intelligence, I want it as a laborer.

00:10:41 Casey: So to be able to spin up a OpenClaw personal AI assistant that just writes copy, that just proofreads copy, that just builds copy into Canva templates, that then reviews Canva templates, another one that just posts those Canva templates to Meta and another one that uploads the copy to Meta and then a human that goes through and reviews all of the stuff for an ad campaign that was kind of built by four or five, six different agents. I don’t think we’re far off from that. 

00:11:13 Casey: So there’s two big things that I think are happening here. I think there’s an acceleration and a collapse. Accelerate and collapsing. Those are the two things happening. So we’re accelerating like personalization at scale. AI agents can kind of do what we want fast, fast, fast. And we can get like custom code developed. I can get a dashboard for a client made. I’m working on a project and we just had a dashboard get made and someone vibe coded it. And I’ll tell you, this isn’t for sale. Like we couldn’t sell this code base for the dashboard. We can’t sell it. But it’s the most useful thing that could ever be developed for this project.

00:11:57 Casey: Like think of that nuance. Like the old way is, okay, let’s go to Salesforce and buy the right software because they’re the best and yada, yada, yada, and use their dashboarding and it kind of sucks. And we’ll have to hire a developer and yada, yada. Or now we can kind of build it out through Claude Code, these AI tools that can develop for us. And we can get something that’s bespoke to us. The difference is one is an enterprise solution and the other one is kind of like tied together with bubble gum and duct tape, but it works and it’s serviceable and it’s just for us and we’re not trying to sell it.

00:12:27 Casey: Man, that’s interesting. So now we’re accelerating, we’re moving faster. The second thing that helps us accelerate is that there’s a speed to insight compression. Like time is compressing here. What used to take weeks of analysis, what used to take hours of analysis can happen in minutes, like by dashboard. That happened very, very quickly. So you can like turn quickly, you can get the data that you need and make an insightful decision based on that. 

00:12:56 Casey: You also have like the opportunity to have these AI agents that are accelerating you because there’s no latency of pulling the right idea out of you. If you’ve recorded your meetings with clients, you now have the ability to pull from that relevant current information and maybe mix that with some other stuff that you find on the internet and to get like great ideas. You can do competitor analysis. I mean, before competitor analysis used to look like in the days of direct mail, which is receive the letter from someone, like be on the mailing list, receive it, take that letter, rewrite it yourself manually, pull up… maybe go to the office and dig out all of the files of all of the history and the proof and all of that stuff. And then like rewrite it and then take it to the typesetter and then print a couple of copies and test it with a small audience. And it would take months maybe to swipe someone else’s marketing from them, months. 

00:13:49 Casey: But today we can use Clawdbot to scrape the Meta ads library and monitor someone’s ads and then go through a process of rewriting them and even possibly putting them into Meta for a human to review and do a final edit on and then just hit the go button. That’s crazy. So you have this like always on strategist who’s always looking for intel and coming up with ways to improve things. Like we’re there if you’re willing to build it today. [long pause]

00:14:26 Casey: Also documentation. If you work quickly, you tend to work without taking good notes and you keep it all in your brain. And that’s an issue because if you leave or if you forget or you worked hard on a Saturday night and then you had a couple of beers on a Sunday, come Monday, you don’t know what you did on Saturday. And as a result, like you’re kind of back to the drawing board. Well, when we code with these AI tools, we get documentation. When we write copy, we can have it summarize what it did and how it worked and where it pulled data from. Like we have more intel so we can move faster and other people can take over and we can even pass it over to other AIs if we wanted to. And those AIs could support us. 

00:15:07 Casey: So there’s this acceleration that’s happening with marketing that is awesome. It’s exciting, it’s fun, maybe a little scary. And we’ll talk about what happens if you’re not already playing with this stuff and like kind of how to get into that. We’ll do that in a minute. All right, so that’s accelerating. But also we’re collapsing. What’s collapsing? I think the middle is disappearing. I think that we’re seeing agencies get squeezed for work that’s now being seen as commodity.

00:15:33 Casey: They only want like consumers, buyers, business owners only want strategy and creative. And then AI augmentation of that is to actually get the outcome. That disappearing middle, I mean, really, it’s like, we said the marketing department is shrinking from the bottom up and now the middle is starting to disappear. That’s what we’re seeing here. The middle was always kind of the agency and these knowledge workers that held the keys to something that was a little bit underwhelming. And now they’re a little bit more specialized. But that was years of experience. Those years of experience can kind of be surmised pretty quickly through scraping a competitor and looking at changes over time on a website or ad campaign or landing page or offer or whatever and then propose new ideas for you. These things are moving quickly.

00:16:19 Casey: I think also attention span arbitrage is ending. So as everything gets faster, like you gotta get faster. As people consume, instead of reading the whole newspaper in the morning, now they’re doing shorts on their phone. Like attention span is shortening and we need to be able to capitalize on that by being faster to attack, attack, attack. The execution gap is widening. If you’ve got a client that’s not adopting AI fast enough, they’re gonna be left behind.

00:16:50 Casey: This is idea of the 1P1B, one person, one billion. That’s a single person building a company that does a billion dollars in revenue or has a valuation of a billion dollars, however you wanna see it. That’s possible. Like we’re kind of in the age of that where someone could just put together a bunch of OpenClaw bots and stitch together something that has real tangible value and maybe make some money on it and unseat some folks who have been in the game for a long time. 

00:17:18 Casey: Anyone here that’s in the security space might say like, no, that’s not gonna happen. And maybe it’ll be a while before that happens because security is an issue. And I think a lot of these tools don’t consider security enough. You know, they disclose your chat log. They disclose your API key. They disclose credit card information, like that kind of stuff. But yeah, that could be a huge issue. But let’s say that all gets fixed, right? It’s about moving quickly. That’s why I think OpenClaw might not be it for you and your clients. It might be Claude’s interpretation of it, which will come in due time. 

00:17:56 Casey: Also, I think that we’re seeing in the collapsing year, the consolidation of rules. Fewer people in the marketing department are forced to do more. A few years ago, I was at a company and we had 12, 13, 14, 15 people there. And each person had a distinct role. And I had one guy who was my CRO guy. And all he did was come up with tests and run tests. Probably had the easiest job, but he made us the most money. He was great. Another guy was our affiliate manager. And he built real relationships with real people. And another guy who had a pretty easy job and also made us a lot of money. 

00:18:28 Casey: Now, I would think that if I had that same team, I’d probably collapse those two roles into one. I’d have to, like, why would I need two roles for that? The whole CRO side of stuff could be handled by AI a lot better than just a human alone. Now, maybe the human comes up with the campaigns, but the AI can test and find the winners and actually build stuff, build things out, build out ideas, come up with ideas. I mean, there’s a lot that AI can do to augment that. So collapsing, I think, is really interesting.

00:18:59 Casey: And I say this, and I feel like I go back and forth on AI. Part of me is like afraid of how AI is gonna fundamentally destabilize the global markets. You know, we look at, I don’t know if the term’s right, but like third world countries. You know, you look at low labor cost countries like Philippines, although the prices are going up. You look at Thailand, you look at Vietnam. Like that’s useful to have those people to do stuff, but at some point, like the labor that they can do remotely is gonna be able to be done by these AI tools. And when I think of the AI tools sliding into my ecosystem so that they’re where I am, that’s the benefit that I’m looking for. That’s like singularly the thing that changes my life is that they’re here where I am and I don’t have to go to them. 

00:19:47 Casey: So what do you do here? I think you gotta build skills. I think that’s where you have to be. And I hate to be the guy to say this, but like you gotta learn this stuff. I would say fundamentally my belief system is one, you have to understand how marketing fundamentally works because your taste, your discernment, your experience, these three things cannot be stolen by AI.

00:20:11 Casey: AI can surmise information from Reddit and from Quora and wherever and have something that feels like taste and discernment, but it lacks experience. Your personal experience, actually valuable, okay? So you wanna maintain taste, discernment and experience. You gotta get experience. You gotta develop taste. That happens over time and you gotta know the basics of marketing to be able to do that stuff. It’s not just, oh, this worked for me before, we gotta do it again. It’s I fundamentally understand how marketing works. I know what it means to talk to someone who is problem unaware. There’s a level of sophistication to our market, which states that I can’t run this type of offer. I must run this type of offer. 

00:20:51 Casey: Like there’s these things that you have to fundamentally know because the psychophantant copy that comes out of an AI makes you believe that they’re right and they can be fundamentally wrong if you lack that ability to discern. So you must, must, must understand fundamentally how marketing works. This is like mental models. Like this is the basics of marketing psychology, tracking, UTMs, data reporting, first refer versus last refer. Like you have to get that stuff fundamentally. And if you don’t know it, it’s not hard to close those gaps. I mean, you can even just ask the AI, teach me about these things that I may not know. All right, so that’s one.

00:21:31 Casey: The second thing is you gotta play. You gotta go in and play with the AI. You gotta have fun and you gotta play and you gotta do dumb stuff that doesn’t matter. You gotta build strategies out. You gotta build out products. Not to sell, but just to do it. A few months ago, I found, and maybe I’ve shared this before, but I found a GitHub repo for Wearipedia, which is Stanford’s Health lab. I don’t know, it’s Stanford University. They have like a health, like a clinical health trial group. I don’t know what it is, if it’s a lab or if it’s whatever, an organization. 

00:22:07 Casey: But they’ve developed Wearipedia, which is, it connects to all the smart devices in your life. So maybe you have a WHOOP Band or a Oura Ring or an Apple Watch or a Fitbit or whatever. And they’ve taken a lot of those and they’ve figured out a way to exfiltrate the data. I said, oh, that’s interesting. You know, I wear a WHOOP Band and like this would be interesting. Oh, it also works with the withing scale and some other stuff.

00:22:30 Casey: So if you have all of this data in your life, you can say, hmm, what would be an interesting project? Well, would it be cool for me just to pull all that data into one place and then have AI review it and just like tell me where I am based on my goals? If you’re in like a strength training goal and you’re logging in a certain place that says that you’re lifting weights and then you’re seeing your weight change and maybe you’re trying to mass up and add a couple of pounds over the next few months of muscle, are you on track or not? And instead of looking and discerning yourself, you can write a little code to do that and you can run it on your computer. 

00:22:57 Casey: And I did this before Claude Code and it took me, I don’t know, a month of just kind of poking around and having fun and learning, coming up with ideas, dreaming up how a config file would work, just having fun. Did it work? Yeah. I put it up on GitHub. One person has started, maybe it’s useful for somebody else. Cool with me. But really for me, it was like, how do I go from start to finish on a project that’s useful? 

00:23:25 Casey: I mentioned I vibe coded a dance mode button for my kids. So fun. They slap a big emergency button and then that signals lights in the living room to flash in different colors and play Dance Mode by Bluey. Over time, that got to be a little annoying for my kids and they wanted a playlist. So now it plays a playlist on Spotify that includes Dance Mode. So sometimes they’ll slap it, they won’t like the song, they’ll reset the button, they’ll slap it again until they like the song. Is that meaningful for anybody else? No. Will my kids stop liking it at some point? I’m sure they’ll grow out of it. But right now it’s kind of a fun party trick.

00:24:04 Casey: But really the thing is, is I set my sites to play. I played, I learned. What’s the direct application of that? I don’t have one for you. Like that’s the idea here is, I don’t have that application for you, but you gotta go play. You gotta go try something. Like consider this, what would happen if all of your conversations, all of your meeting notes from your clients were in one place that you could query? Is that useful? Cool, go build that. Like that’s easy. Maybe that’s all your Zoom calls. Maybe there’s another thing that you have to think like, where else do I have conversations and how could I record it? Maybe go get Applaud or Limitless.ai. I guess they just sold the Meta. So I don’t know what they’re called now or if they’re still in business. 

00:24:41 Casey: But you would get a tool like that, that would start recording conversations that weren’t on Zoom. Like solve that problem. Identify a clear problem for you to solve. Maybe your problem is that you don’t, you want people to know that you work from home and your kids not to come in the office. Cool, can you build something simple that says I’m in a meeting or not and have them be able to turn it on? Like, how do you ask AI to help you with this stuff? I think it’s fun in the physical space, but maybe you want it only in dashboards. How do I get certain data from my clients? How do I look at this as a dashboard? How do I get a dashboard coded up? Like playing with it, identifying a problem that’s important for you to solve and solving it. 

00:25:21 Casey: I have so many ideas with like my radio, right? Like ham radio stuff. It’s fun for me. I’m just enjoying the joy of playing. I feel like a chef who has a cookbook and finds a recipe and says, I’m going to do that one. And I do it, but I don’t have the same pan. So I have to do it a little bit differently. And I don’t have those apples and I have these pears. So I’m just going to play with it a little bit. I’m going to make my own creation. And you know, the satisfaction when you do that or the satisfaction when you do your knitting or your satisfaction when you do your knife making or when you build a bicycle or, you know, whatever the thing is, you understand that satisfaction. I want you to find that in the playing with the AI and get comfortable in the space because we’re accelerating and collapsing.

00:26:05 Casey: And the acceleration is going to leave you behind. And it’s going to be harder to get back. If this is the first time you’re hearing about these tools and you’ve never used Claude or you don’t know what an MCP is, that’s a model context protocol. That’s kind of like how Claude.ai, they wrote effectively the protocol for different LLM related tools to communicate. If you don’t know what that is, look into that. Like go play, go have a curiosity to this and find a project that’s fun for you.

00:26:33 Casey: Maybe it’s OpenClaw. If it’s OpenClaw and you want to do this thing, it’s incredibly inexpensive. You can do it on an old laptop. If you don’t have something like that, just go buy a Raspberry Pi 4 and set it up at home. Read some guides on how to do it safely. Don’t be an idiot. Don’t put credit card numbers on it. Pre-pay for your tokens so that it doesn’t run amok while you sleep and you wake up with a couple of hundred dollar bill and spent tokens, right? Like that kind of stuff. But I want you to play. You have to play. You have to play. 

00:27:02 Casey: Where we’re going with agentic AI that takes place of the human is exciting for me. It’s again, the first time I felt, oh my God, this is different. This feels different. This tastes different. My life is different. In six months, Claude’s going to come out with their own version of Cowork 2.0 or whatever. That’s going to be able to do all this stuff. That’s going to change everything, I think. I really think that’s going to be a fundamental shift in replacing human laborers. And the other side is you can’t just live in that world. You got to understand the fundamentals of it. 

00:27:34 Casey: You know, it’s the person who understands how to troubleshoot their parents’ Wi-Fi. Is that your job? Like your parents call you up and say, hey, the Wi-Fi is not working. You’re like, okay, well, can you reset the router? Like fundamentally you understand that there’s like stuff that happens. I don’t want you to live at this level of abstraction where you just say, oh, I just say, fix the Wi-Fi and it fixes it. Like you want to know the things to do.

(27:57 – 28:09)

You want to say like, okay, well, there’s a wire that comes into the house that goes into a modem and that modem goes into a router. Let’s unplug both of those and then plug in the modem and wait a minute and then plug in the router. Does that fix it? So that’s what you’re looking for kind of again and again and again. It’s like understanding the fundamentals of these things. 

00:28:12 Casey: So that’s it for today. I hope this gave you maybe some information. I’m a believer in AI. I’m also a believer that AI is overused, but this specific vector of support, which is human-like support, I think it’s fundamental to us and I think it makes us better as fractional CMOs. I mean, I’ve never been the guy who says, I’m going to bring my agency in with me. I’m going to bring in my talent with me to do this work. That’s not what I want. But I could see a future where I say, hey, I’m going to bring in these AI assistants to help us with stuff. That could happen. I think that’s pretty exciting.

00:28:45 Casey: So go play with AI. Set up your own GitHub account. Get comfortable. You don’t have to learn to code from scratch, but you got to learn where code goes. You got to learn how this stuff works. Follow a README file. Have some fun. Look up Claude SOUL.md and learn about what the soul document means for these AI tools. Fundamentally understand this stuff. And I don’t want to give you everything. Just like have a curiosity to go chase it down to figure it out. What that curiosity will bring up for you is an edge over other humans.

00:29:16 Casey: So as long as it’s a battle of human against human, you’re going to win if you maintain this edge. And if you throw up your hands and say, Casey, I don’t know, this is just too much or whatever. I think you’re going to find yourself in a position that is compromised. And someone somewhere else is going to come after that job because they have the ability to understand how things work and how things can work better. And then the tools to like prompt it to get them to work. 

00:29:41 Casey: So the last thing I’ll say here is I don’t think you need to be the person that codes stuff. I’m not saying be a CMO that also codes things. No way. But I want you to say like, okay, we’re building a website. I’m going to run over to Lovable and I’m just going to make a new variation of the website and just give that as a one shot. I won’t even pay for it, right? I’ll just do the free version. I’ll have Lovable rebuild it. I’ll give it a good prompt. And that’ll get me started. That’ll give me 50, 60, 70% of the way to a redesign of the website for the client. Boom, that’s done. And like one prompt, like in two paragraphs, you walk away, you come back after lunch, it’s built. And then you send a screenshot of it to the designer and say, hey, mock this up and think about these things.

00:30:20 Casey: And like, they’re going to get there faster. Your turnaround time is shorter. The cost for things is going to be less because you’re playing, because you’re having fun, because you’re in the game. That’s going to give you an edge. People are going to be excited about that. When they think of bringing in a CMO, they’re thinking of bringing in a CMO, but also one that knows AI is like, that’s a powerful edge. That’s where I want you to be. 

00:30:40 Casey: And if you want my help, if you want to know what’s working, if you want, like while we were on this, one of our CMOs inside Boardroom replied back, Claude Cowork is really blowing my mind this week. Yeah, 13 minutes ago, one of our members just said that. Another one said, yeah, Cowork is awesome. What else did he say? Then I discovered that you could schedule prompts using Claude Cowork in Chrome. So now I have it auditing my something. Amazing, right? Show up with CMOs that are playing the game right now, this moment, by joining the CMOx Accelerator. 

00:31:12 Casey: You can do that at cmox.co/call, cmox.co/call. And listen, we’re limiting the seats that are inside the Accelerator. So as you’re listening to this, I don’t know how many seats are left for the month, but we keep a closed door. And if folks want to join, sometimes we have to push them back a little bit. So if you’re eager to join, have a conversation with us sooner than later, so that, you know, if we have room, then we’ll let you know about it. Otherwise you’re going to have to wait. All right, thank you so much for tuning in. And I can’t wait to hear what you’ve been playing with and what you’ve learned and what you’re building. All right, see you, bye. 

00:31:48 Casey: Thank you for sticking around for the full episode. As you know, learners are earners, but you’ve got to take action on what you heard today. For more information and show notes, visit fractionalcmoshow.com. If you’d like me to answer your questions on an upcoming episode, you can share your question at fractionalcmoshow.com. And last, please hit the like and subscribe button so that I know that this content is helpful to you. All right, go get them.