I LOVE AI With Noelle

Uh, happy almost February. How dare you say such things? I'm not ready. I'm not ready. Um, welcome everybody. Happy Friday. It is my favorite time of the week where we get to connect. We're a little early this week, um, because, well, all sorts of things. I'll be very, very candid with you in a few, a few seconds. But I do want to welcome you to our weekly I Love AI call. This is the call where we get together, hang out, learn a little bit about artificial intelligence and some of the things that are challenging me in my business, as well as me, uh, personally, professionally, just so you can see the world through the lens of, of someone else. And we have lots of members in this community that have volunteered their expertise, their ideas, uh, and their time to contributing to our community chat and sharing, you know, some of them do polls so we can learn more about each other. Some of them are posting articles, new tools and resources. So thank you. In advance to all of you all. I always do like to give some props, uh, to, uh, our leaderboard people, um, because it means that you are the most active in our community. And I do want you to know I see you and I think you're amazing. And so Joe, who has been on the leaderboard for, I don't know, 2 years, uh, it's hard to catch up. He's got a lot going, you know, he's got it, uh, got it going on. Um, and Nitin as well. So thank you, Joe, Nitin, and Sherry. Sherry's been, uh, really supportive. And I just want to remind you that the best way to get on the leaderboard and, um, you know, for people to even see you— I think it's a great opportunity for people to recognize you as a leader in this space. We just hit 2,200 members, and I declined 2 people today. So just so you know, not everyone gets into this space. Um, if you, you know, if you generate an AI-generated, uh, picture and an AI-generated bio, like, I'm gonna think you're AI-generated. So just to let you know, it's not because I don't like you and I don't want to welcome you in, but if you look like a bot and sound like a bot, I'm gonna label you a bot and you won't get to play. But these are real people. So thank you, Joe. Thank you, Nitin. Thank you, Sherry, for all the contributions. Um, on the leaderboard, top 5. I don't want to, you know, Fabian's been working really hard. He's trying to unseat you all, so he's coming hard. And Heather Majors, who is extremely active in our community but never, never really has— I'm sure this is during the workday and she probably can't come, but so supportive, so helpful. Um, and I just want to remind you of how you can rank on the leaderboard. There are lots of cool things that you get. So when you get to level 5, it's probably my favorite. Is it level 5? Um, when you get to level 5 or level 4, You get to open up access to our swag store that's only available to members of the community.

You—

there is no other place that I provide it. You can get elements of the swag store, but you don't get access to everything. And a lot of people go there and they buy t-shirts for their teams or their clients. They get stickers. I mean, who knows, this year we might add in books and notebooks. You know how I am with notebooks. Like, I love notebooks. How do I not have an I Love AI notebook?

All the—

like, that's happening. So it'll always have my latest swag. I create it. Create the swag for me, and then I make it available to those of you who get to that level in our community. But you also get access to, uh, the classes that are in our community levels and the challenge of our community. So if we do different challenges, if you are at a certain level, you get to be VIP in those challenges. Some of them are paid challenges, you get to go for free. It's all about how, how active you are. So stay active, share what you know, um, and, and here are the, the ways points are awarded. And I love it. It's not my point system, it's Skool, the platform we are on, it's their point system. But I do like it, and it rewards you, number one, for posting content, but not just for posting it. You get rewarded every time someone likes it. Not you, see, you can like your own post, but it doesn't count. Uh, but every time someone's like, that's valuable, you get additional points when people comment on your post. So it really fuels and motivates us to build content that people like and that it's valuable to them. So when you're You know, when you're thinking about what should I post, like, just think like, what did you learn today? What did you learn last week? What did you hear on maybe an app that you're listening to or a newsfeed that you saw? If you bring it to us first, you'll get a lot of, you know, a lot of people in the community like, oh my gosh, thank you for telling me. The other way to get points is to like other people's stuff. So if you go in and you engage with other people, you comment on someone else's post and people like that you commented or even just the author. These are all things. Now I will tell you, we have 9 levels on our community. Just so you know how hard it is to get to the top. I created the community and I'm only at level 7, and y'all see how much I post. Um, but some of y'all are catching me, so I'm gonna have to amp up my, like, posting and commenting. Um, but I am right now at level 7. Joe is at level 6. There's only a few of us, uh, in the top, you know, 10% of the community. However, I encourage you all, it's really kind of fun. If you get to my level, or better yet, past me, but if you get to wherever level I am at, you get free access. I know this is gonna drive you, yo, I don't know if I should say this. It's in the little award thing, but you get free access to our paid community. Now it is hard to do. It is thousands of interactions, but it's a $5,000 opportunity, right? You get access to our AI Leadership Essentials course, which includes 12 masterclasses, 6 certifications. A, you know, an opportunity to be in the elite of the elite in the AI Leadership Institute. It's really— and you get to be part of a business directory, which is extremely valuable. There's a lot of stuff going on over there, but only to those who are like pacing with me, meaning the leader of the community. Um, they're— you're really special to me, and so I wanna make sure I reward you for that. But it's hard. Like, I'm trying to get to level 8, and I'm like, oh my gosh, right? But it's, again, it's not my point system. It's school's point system. And they want it to be a really valuable experience when you realize people have gotten all the way there. So that's kind of exciting. But that is just a little introduction into school. Don't forget, the easiest way to join is to just— if you're not there yet, you all are there, you all with me right now. But if you're listening to this and you're on LinkedIn, you're like, I want to be in school, I want to, I want to go back to school. You could do that by just going to noelle.ai, my name, N-O-E-L-L-E dot AI, and you'll see an opportunity. To do that.

I hear—

is that you guys? Um, I hear a phone ringing, but I don't think it's mine. All right, hold on, hold on. Um, amazing, great, awesome. Uh, let me make sure I have the ability— it looks like he was able to mute himself, but I want to make sure that's handy just in case that happens again. I do not want to hear any secret conversations, uh, over the airwaves with us. So thank you very much, um, for being here. Joe, I see your hands up.

Come on up, let us know What I wanted to share something really cool that I did today on the community. So I've been posting updates on my project status. And ultimately, as many of you may know, I'm going to probably be writing a book about my journey at the end of this story. So what I did was in, in Microsoft Edge, I went into Copilot. I went to that, that post and I said, I, here's the pattern that I'm using, update: find all of that and create a project journal from the beginning of the project till now. And so it created a document that actually journaled my, my story from here to there. And so now I have material for my book.

Nice.

Oh my gosh, that's amazing. And those books are my favorite, like the You know, real journey. And I think especially by the time this is ready, like people are so hungry for like authentic human experience as opposed to the AI, you know, generated kind. Yeah, timing's everything. And I think you're like, you're right on that path. I'm super excited to see it. Thanks. But yes, and of course, just so y'all know, we're pretty special. We get like the inside scoop before it goes live.

Yeah.

And some of them are, hopefully some people in the community are gonna be my beta testers. So that's coming soon.

Let's go, let's go.

We can't wait, we can't wait. Awesome. Thank you for sharing. That's amazing. So, so cool. And, and I just wanna say a lot of people have mixed feelings about this Copilot thing, but it's getting better every day. And, and if you learn how to use it, that's why this is actually, I guess, a little shameless plug for our AI, our class that's coming up. So in the AI Leadership Institute, some of you know, we have a class coming up on the 21st. I think it's a Saturday of February, and that's gonna be the Copilot Power User class. And the reason for that is because I don't know if y'all know this, but in March, Microsoft is unlocking for companies, anyone who's at an E5 subscription level, which is like my company, right? Like little companies, big companies. If you're at E5, you get access to Copilot for free. No more $320 per user per year. No more cost. But just imagine, right? We unlock Copilot for people and they don't know how to use it. I don't know, it feels like Skynet to me. So I thought what better thing we could do is prepare all of you with a masterclass on how to use Copilot and you could go out into the world and actually train other people on how to use it. It will become an instant necessity as soon as companies realize that everyone has access to it. So really, really cool. Oh yeah, I meant to unspotlight you. So sorry for, there you go. You're unspotlighted, Joe. You are no longer under the, under the, um, microscope of the internet. Okay, great. Sorry. Thank you for the reminder though. Uh, but yeah, so that's exciting. So that's February, but before we get to that, I mean, of course that is happening. That is a class. It's one of, uh, 12 masterclasses that we're teaching in the AI Leadership Institute. And if you're interested, there are multiple ways to participate. So don't hesitate. We'll throw the link to the Essentials into the chat. You're welcome to just have a conversation and see if that's something that's interesting to you, but it's super fun. But what is— what I want to share with you today is something I've been working on since the beginning of the year. Every January 1st, this— I mentioned it on our Design Your Life call, like, my favorite month is February because it allows me to, uh, wear heart-shaped things and buy heart-shaped things and get a pen with a heart fluffy thing on the end. Like, it is I Love AI month. And so all month you will see I created an extreme, um, marketing campaign where I have created, uh, 4 different themes, one for each week. It launches on Sunday, February 1st, so you will see it in the community. I will have a theme, but I want— what I want you to know about what's about to happen and you're about to witness is I did it all by myself with the help of 7 to 10 AI agents. So I want— it's similar, Joe, like, I love that idea, like, I'm gonna do it, I'm gonna document it, I'm gonna show you what it looks like to kind of give an inside backstage look at how it happens. And so similarly, I want, I want you to know that what you're about to see, um, I handcrafted all myself. Uh, the graphics I created. Now again, I use AI to support the development of it and the scheduling and all of the nonsense. But the fact that you can do what I'm about to do, um, and then hopefully at the end of the month we'll have a revenue attached to that. That I can share with you. And then I, I mean, that's exactly what the AI Leadership Institute is for, right? Is like, how do I do that? Like, how do I, I need help doing that thing. It is going to be an expert masterclass on go-to-market. And I'm really excited. It is our third year in a row doing, celebrating AI, I Love AI Month and our third year of the I Love AI Week. And so I, I Love AI Challenge Week. This is a week where we do a class every single day leading to an outcome. This year I am focused on what I've seen in almost every conference I've been in, which is people come up and they're like, how does AI do a thing for me? Like right now I need it to do something. I don't need to like play around with prompts. I don't wanna like, you know, play around with like imagery and ask it questions about my pantry. Like I needed to, deliver value in my business or deliver value to me as an ambitious professional trying to separate myself from everyone else in the workplace, everyone else in the marketplace. And so I thought the best way to do that would be to create our own AI employee. So I'm gonna walk you through the process. In 5 days you will have built, and honestly, you'll build it the first day, but we will talk through not just how to build an AI employee, meaning an AI system that that does something for you. I will also give you a platform in which you can actually build more than one if you choose to. And then I'm also going to show you how do you make sure that that thing is safe and secure and not gonna lie or spread information that's not true, or, you know, like all the things. How do you get something from baby tiger to big tiger, little AI to scalable AI? And the best thing to do is to start with something that can provide you immediate value. So if you're a business owner, It's an easy answer. Like, of course you should hire, like, you're probably hiring for humans right now, or in your mind, like some of our members are thinking, I absolutely need to hire someone to help me for whatever reason, like any reason. And this is an easy answer. Like, what could you get an AI to do for you consistently, securely, safely, responsibly? This is built for not like, I'm not going after Delta Airlines here. I'm going after you all, like people who are starting businesses or running businesses typically under $20 million in revenue. Now, that being said, as a professional, I use this right now to just build my brand. Now, I saw— I've been posting content consistently every single day, all of January, and I'm using AI to assist me. But you can see my posts, they're me. Like, I write it and then I'm like, make that sound a little bit better, but make sure it remains in my voice., or rephrase it or give me a call to action or so. Like, I, I use AI a little bit, but like the content is mine. That being said, my engagement, I look at each post and I'm like, huh, I, I get 12 likes. I get like 13 likes on some. I mean, some go a little bit better. They get like 400 likes and comments and, um, 100 comments. But most of them, I'm like, the engagement's kind of weak. But then I looked at my impressions, meaning people who actually looked at the content and just didn't engage with it, and it's up 14,000%. Like, and I was doing pretty good in December. It's up 14,000%. And what that— and my project requests are up 300%, meaning people are seeing my content and they're clicking on that link in my profile that says services and they're submitting projects to me. Like, that's kind of crazy because the metric we all typically use to measure our success is do people like it? Like, are people saying, like, celebrating my thing, calling it insightful, commenting? And the reality is, is that sure, that might be— you might care about these things, but I care more about are you contacting me to become an employee of yours? Are you contacting me to become a client of mine? Right? Like that's the metric that is the most important to me anyway. And so one of the things we're gonna focus on during I Love AI Week is like, what is the metric you're trying to focus on and are you focused on the right one? It's so easy to get consumed by vanity metrics of like how many people have liked your stuff. But here's the, the sad and real fact is that people can buy those things. You can buy likes, you can buy engagement, you cannot buy someone reaching out to you and be like, can we work together? Can we get on a phone call? Like, I mean, I guess you can buy it like anyway, there, there's like a nuance to that, I suppose. But that is the real metric of success is like, are you getting an outcome that you want? So yeah, exactly. Measures of performance versus effectiveness. Love it. Yeah, exactly. So Maurice, I ended up calling it Build an AI Employee, like build your first AI employee. Most of us, have built AI systems, but not necessarily systems that work for us. So that is the distinction this year. So we are gonna run that challenge. In order for me to do it the way I wanted to do it, we actually are charging for the challenge. However, there will be, for those of you who are at certain levels, so inside the I Love AI community, there are different levels of engagement. The free community, I mean, I don't charge you anything. So you're gonna pay like $27 to be part of the challenge. Um, hopefully— I mean, I, I always say like, break it up. It's like, I don't know, pennies a day, uh, for the year, or, uh, maybe it's 2 cups of coffee, or maybe it's a cup of coffee every day during the challenge that you'll have to sacrifice to join. But it's important. It actually has completely changed. Like, my challenge is— there's a reason, a method to the madness. That's why I want you to be like transparently know what I'm doing. I'm not trying to like— I don't need $27 for you, from you all. But what we found out is we get an 87% increase increase in show-up rate when I charge you something. And it doesn't matter, it could be $1 or $27. Now, if you are in the AI Leadership Institute, you automatically, because you are a, you know, premium member, you automatically get access to the challenge at VIP level for free. But everyone else who's listening to the sound of my voice, there's a tiny little charge, but that's more for you than me. That's so that you're like, all right, I paid for this, I'm gonna go. Um, and I hope you come because it's gonna be really exciting. Now, inside the community after the challenge, which means, you know, we're gonna do some cool stuff. We're gonna get, we're gonna give you, uh, documents, a workbook, prompt examples, uh, documentation guides. But it, after the fact, I am gonna make the videos available in the community, uh, in the I Love AI community after the challenge. But you won't get all the stuff and it's not the same. Y'all wanna be there live.

It's fun.

Fun. So, so you'll see that. Oh yeah, great question or great comment, Jill. LinkedIn's algorithm is really perplexing. It is a little annoying. It was tweaked over the summer. It was. I post regularly with what I think is the most substantive content with CTAs and impressions are lower than normal. I'm seeing older posts get longer engagement. Well, that's another hack actually from LinkedIn is that what they are finding, and I think I mentioned this on one of our calls, But LinkedIn is finding that a decreasing number of people are posting, and the reason why is because of what you just said. They're not seeing engagement, right? They post something, they get 12 posts, 12 likes on their post, or 1 like, or no likes, and they're like, why even post something? I'm even like, what's the point of that if no one's gonna engage with me? I feel foolish. And so they stop. So only about 8% of all members on LinkedIn actually consistently post content. Um, and as a result, they've had to get creative in building content for the feed. So they go out and grab older content from you, from you, from me, and they publish it. So I consistently get people liking a post I did 2 months ago on a, you know, my book engagement, uh, which was super exciting. It has like 400 likes. And so that keeps showing up for people. So that's the good news and bad news about Content is like, you have to just keep consistent cuz now the algorithm is prioritizing consistency. Um, but you're right, they did change it. The other thing that they have, um, documented as part of the al— ways to, um, make sure the algorithm sees you is the type of content. So it is actively looking for who, not what. It's actively looking for personal stories. It's looking for nouns. Persons, people, humans. I went to this event, I did this thing, I got this award, I got this job. And so you really want to use those moments in your life to like push the algorithm to see you. And here's the good news there. Do you know what day it is today? Anyone? Like nationally? Anyone?

Anyone?

It's International Croissant Day. That's, that's something to celebrate. I don't know if you know, you can post celebrations on LinkedIn and just test it, right? Test, go look at Google and be like, Google, what's the international day today? Like, what are we celebrating? I have a book that has all of them, or at least all of them as of 2 years ago. International Croissant Day. I don't even have to eat a croissant. I could just go to my good old Sora or Nano Banana and be like, put a picture of me wearing a beret. Right? Oh, Maurice, like, this is for you. Like a beret and like some red, white, and blue in the order of the French, you know? Like you can have some fun with it and have an image generated of you with a croissant. And then you're like, this is how my solution is like a croissant. I'm playing around a little bit, but not really. Like, this is the opportunity, but it's because it's you celebrating something, right? Maybe it's the first time you had a croissant. I would tell the story of a COVID experience I had, which I totally should do this. Um, but I had an experience during COVID It was amazing. I had a, uh, someone who was a, um, a journalist reach out to me and he's like, hey, I'd like to have some time with you. And his campaign to get me to have time with him during COVID is he was gonna have Uber Eats, and he did this, Uber Eats delivered to me 15 minutes before the, um, the podcast recording, he delivered to me a box of pastries. And it was called like Pastries in— I don't know, it was some really cool name. I should go look. I mean, I did it and it's published somewhere, but it was like, it was very like, I don't know, alliterative name, very handy, like, you know, uh, I don't know, Pie and Pastries or something like that. Anyway, it was something about pastries, and he delivered a pastry to me And so while we were talking on the podcast, we were eating these pastries. And so every so often— I didn't have braces during this time, so that dates it, because I would never have done an eating— I've never done an eating, you know, type thing. Like, it was kind of like the Hot Ones, right?

You—

some of you have probably seen Hot Ones with the, the wings. I love that show because part— I love watching people eat stuff and then have emotional reactions., but then they also talk about pretty cool content. Um, and so this was similarly, oh my gosh, I can't believe I just had the name in my head. You know how that is? Uh, anyway, it was like, I can't remember. Anyway, I'll look it up. Uh, but it was a really great idea. And so like, today is a great idea, like integrate what's happening in the world, something trendy, something interesting, because LinkedIn is looking for you to comment. Now, I will also share with you another way. Uh, so I recently changed my headline in LinkedIn, um, normally it's like, I'm awesome, all right? Like, 5-time MVP, TEDx speaker, AI, you know, expert, won this award. Like, it's all about me. Um, and what I realized recently was, I was like, I went to— last week I was at, um, you know, Heavy Duty Aftermarket Week with a bunch of trucking supply companies and repair companies.. And then I went this week, I was at a Mississippi, um, event called Ignite where they bring together every single year. They do 5 events a year, but they bring together all the, you know, small and big businesses in Mississippi to talk. I will talk about that experience in just a minute, but, but they bring them all together. Those people did not know who I was until I got there. So they then immediately looked me up on LinkedIn and all they see is like, me bragging about myself.

They have—

there is no reason for them to keep going because they're like, wow, that is not me. What they see in my headline is like so far from where they are. They're like, Noelle is not even, not even in my like sphere of people to talk to. So I changed it and I just edited just a little bit. I changed the first sentence. So the first thing you see is who I serve and how I help them. And a lot of you already— some of you already do this, but I do encourage you Because when you meet someone or when somebody sees your content, they're gonna probably Google you. And on Google, I don't know if you know this, usually the first link that shows up is your LinkedIn profile and that sentence. And so I adjusted it recently. Now, I wasn't using LinkedIn to do any kind of lead generation, but like I said, over the last few weeks as I've made these little modifications in how I post, what I say, um, the services I offer, what's featured on my profile, I'm generating, I mean, I wasn't intentionally doing it last year, but I'm generating just massive amount of leads. I will have that quantitative number at the end of the month, right? When, when LinkedIn sends me my report and says, here's how much leads you generated. But the, what I like is this hockey stick motion, right? That's happening from December to now. So, so I share that with you because in the, you now are going to, because you're here, you own a skill, you're gonna learn about artificial intelligence. But the, the next thing you need to do is figure out how do I get in front of the right people who need what I know, whether that's as an employee or as a business owner or as an, you know, uh, a founder, right? You have to figure out like, how do I attract the right kind of person as a product development person, right? If I'm building a product and I'm gonna sell it, who are my people? How am I gonna get in front of them? The thing I love about LinkedIn is it is full of buyers. If you actually let them know you have something they need, they're— I mean, I, a lot of my leads come from LinkedIn. Many of my speaking engagements came, come from LinkedIn. Um, I'm not gonna share with you the numbers, but my AI Leadership Institute, you guys will see, I just found out, you know, based on taxes being due soon, um, but, uh, that, you know, I found out how much I made last year and I was like, I should have, you know, done more with that money. But, uh, but I was like, wow, this is interesting. And so I, I'm gonna to do a complete breakdown of how I built my business last year, and it, it was completely intentional, but it snuck up on me, which is why we're doing what we're doing, the AI Leadership Institute, like intentional development every month. Remember, some of you took the Design Your Life. I hope you're taking it seriously. At this point, you should have, you know, like January is a metric you should be defining. My kids just ran by the door. Um, like you should have a metric for January, how many Whatever you were trying to do, were you trying to post? Were you trying to get known? Were you trying to get customers? Were you trying to do lead generation? What was your metric? Because you got like 2 days. It doesn't matter where you are today, but like now February's here. What are you gonna do in February? I always, I always say to myself, like, if I do not do the things I wanted to do, there is a daily, there's daily evidence as to why I didn't do it. It's why I write down everything I do every day. So at the end of the month when I'm like, but, but, but I didn't do this thing and this didn't happen for me. And then I go look and I'm like, huh, I didn't, I didn't call anybody. I didn't, I didn't respond to any of the people that responded to me. Like, oh wait, I am directly correlated to the outcome I got for the month. The reason I mentioned that to you is because months are just 30 days. What you don't want to do is get to the end of 2026 and go How come I didn't get where I wanted? Like, if you do this on a monthly basis, even just slight corrections for the whole year turn into massive outcomes. And that's what happened to me last year. So I can't wait. Um, I know time flies. It's crazy, crazy, crazy, crazy. But, um, so I'm gonna encourage you, if you haven't watched Design Your Life, it's free in the community. Please go and watch it. Um, it is a really— it's, it just gives you the framework to think about. The homework is yours to go and build you, reverse engineer your year. But we're still there. I would even— if you were watching this video in July, I would still go and reverse engineer from July to the end of the year. If you're watching it in October, I would still reverse engineer it because you control the outcomes. And so many of us underestimate the power of daily activity. So many of us underestimate like what we do on a daily basis. And so that is the most important thing. Uh, so like I said, if you haven't watched Design Your Life, it's not too late. Please go do that. The last thing before we jump into breakout rooms and get an opportunity to meet each other. So don't, you know, I know right when I do that, people are like, oh, I gotta go. It's a wonderful opportunity to use this chance to meet other people who are in a similar situation than you, as you, or in an adjacent situation to you. The good news is we're all moving in the same direction, leveraging AI to grow either our business or our brand awareness so we get the role that we want. The way I characterize it is we're either business owners or we're ambitious professionals. I am both. I am an ambitious professional who owns several businesses. And so hopefully what we learn during the I Love AI week will be yours. So for those of you in the community, if you're not in the community, just go to noelle.ai and join. You have to be approved because I, you know, make sure you're who you are and who you say you are, and that you're on the right path and in the right place. But once you join, you'll see in the classroom right now— as a matter of fact, I'll show it to you in the classroom right now. You will see— hopefully it won't be too big. Oh, there we go. You will see in our community, this is a view of our screen. You could see we hit 2,200 members.

Yay!

Intentional, exciting members. I'm so glad. So welcome everyone. But I will also show you our new classroom opportunity. So you can see here we have the I Love AI Challenge. This is going to be 5 1-hour sessions during the week of February 16th through 20th. We also, though, have a VIP session, which is an active working session. It is my favorite thing we get to do. We do it every year. But this is where, you know, in an hour I'm going to tell you what to do and then you're on your own. DIY, as I say, do it yourself. But in the, in the VIP, that DIY is like, okay, let's build. And sometimes, some of you know this, I spent hours in this VIP session. I'm gonna reserve the afternoon. It's set for an hour. Don't get overwhelmed. But, um, what's up?

What?

Maurice, Maurice, you're so sweet. I didn't know that it did that, by the way. Okay, so wait, if you don't want to know that everyone, um But that was awesome. I've never seen that before. I'm gonna have to send you a gift for doing that. But, but this opportunity, right? These different services give you a chance to actually build. And usually people listen to stuff and then they're like, I'm totally gonna do that. And then they never do it. So this is a chance to actually, you know, get your hands deep into building a model. And we're actually gonna build an AI employee. I'm gonna build it for you, right? Like, you're gonna watch me build this employee during the, the challenge. The VIP is if you wanna actually build it and have me, you know, just there. I'm your safety net. What if you get stuck? What if you're in a tool you don't understand? What if ChatGPT, like, says something dumb? Like, I will be there to help guide how you actually generate it. Now, I'm going to encourage you to use a platform during this challenge, but you don't have to use that platform. The, the magic of an AI employee is in its prompt. And tool selection. You can configure that, like I said, DIY. You can do it however you want. I personally am going to offer you a platform that'll make it just that much easier, right? That's my job. My job is to remove the friction. I tried it on my own and then I was like, wait, this platform does like 98% of what I want. I'd much rather do this. And I'll show you all the metrics that I've generated over— I've been literally building up to this moment. So I've been using this platform and my agents. Over and over and over and over and over again. And I have now the, like, how I use it, the metrics, what each agent did, how much time each agent saved me. So all of that will be given to you during the challenge. It'll be fun. It'll be fun. If you're not familiar, this is the community that you get to be a part of. So if you haven't been in here in a while, don't forget there is a couple of things that are really exciting. One, there is onboarding, so please go through the onboarding. Two, AI Leadership Essentials Lite. This, we actually have a new version of this because we just taught AI Leadership Essentials a few, like a month ago, not even, 2 weeks ago. And so we'll be adding the Lite version here. Resources and tools. And the most important thing, of course, is where everybody shares stuff. So you can see here all of— look, there's a member already. I should— I'm not gonna accept them because then you'll see their information. So I will accept you after if you're listening right now. Uh, but you can see like where people start. My big— oh, look, like, sure, Sherry. Yay. Thank you for talking about a new Google release. Um, okay, so I do have an AI thing that I wanna talk to you about. So this is all the fun that I've been having. Um, I was in Mississippi yesterday. It was amazing. I actually was there, it was not long enough. Um, but I do wanna talk to you about a company that I did not know that I thought was a really interesting use case. So 2 AI topics. One, how businesses— maybe it's a talent discussion first, and then specifically what's happening in the world of AI and science. Some of you know where I'm going. The Prism Paradox. I wrote about it this week, but I'm gonna talk to you about that a little bit. And that's what I want us to take into our conversations today. But the first thing, I don't know if you know this company. I'll go ahead and stop sharing now. Um, I don't know if you know this company, but their name is Blue Deltas. Do you know Blue Deltas? I don't know if y'all know, but I didn't know them. Uh, but they're there and they're very big. Like, everyone knows who they are. As a matter of fact, everyone's wearing them, their jeans. And one thing about Tupelo, Mississippi, very cool, is that in Tupelo, Mississippi— that, well, there's a couple things that are cool about Tupelo. Anyone know— anyone know anything about Tupelo? Have you heard of the city? Do you know what happened there, uh, uh, decades ago? Anyone? Anyone?

Um, Elvis.

Yeah, there you go. Elvis. Yeah, Elvis was born in Tupelo and bought his first guitar. And I got so— I had an amazing host who like shepherded me through Tupelo, and she showed me where Elvis bought his first guitar. But also like in the store, you could see where he stood when he bought it. But what I thought was really cool Oh man, I don't know if I know the story all the way. This is how I am with jokes where people tell me a good joke and then I totally mess up the punchline. So same idea, I'm about to mess up exactly what happened, but it was a mom thing. Like, I think he wanted to buy a rifle. Like Elvis was like, "Let's go buy a rifle." And his mom was like, "Or we could buy a guitar. I don't know, like let's just see." And he ended up buying a guitar and it changed his life forever. So moms out there, like, keep saying the things. We could change their lives. Uh, but yeah, like, who— he could have been an expert rifleman in the Army, but instead— I think he did end up going to the Army, but, um, but instead, yeah, he became a musician and one that we all know. So, um, oh, thank you so much. Oh, I'll tell you a little bit about my, my energy. It's you all though. I see you all. I'm like, oh my gosh, you should have seen me like 2 hours ago. Oh my gosh. So much to talk about. Okay, hold on. But thanks for that question. I will answer that today. Um, but one of the things that— so that I'm in Tupelo, Blue Delta, you can go look them up on Shop or like Blue Delta Jeans is what they are. They're blue jeans. Here's why it's cool. Now you're gonna— some of you are gonna look it up and be like, what am I looking at right now? Uh, but the reason it's cool is because Tupelo, Mississippi used to host Levi's, like Levi's jeans. I wear Levi's, a certain brand, a very specific brand, but I wear— they are Levi's brand jeans and I only wear them. They're the only ones that fit me. And so I buy all of my jeans, the same jeans, all the time for years. Um, then Levi's decided to move to Mexico, and then all these people, humans knew how to make jeans and they were unemployed. So a company was like, actually it was a private equity investor, was like, how do we make money with these amazing humans? A question I think every CEO should ask. How do I make money with the humans that work for me? Not how do I get rid of them? Not how do I like, oh, it's such a disaster right now. People are so confused. I don't think, I don't think we really understand what's going on at the highest levels of some of these companies. But I always say like layoffs are not, not a technology problem. Like that's not an AI thing, that's a leadership thing. And so I love the idea that this leader comes into this city and goes, wow, look at all these humans that have these skills. First thing I always think about when I see massive layoffs, especially when they say it's because we're using AI or whatever, is I'm like, did you, do you even know the people? Now the reason I say this is because how many of you have seen people on LinkedIn be like, 'Here's my resume. Do you need someone with these skills?' And I look at these people and I'm like, you are not like a— like, you know, I don't even know the word. What's that word?

Like a sloth?

The sloth?

I don't know.

There's like a word for people who don't work. I don't even know it because I'm not in that world. But like, you know, a person who doesn't work. Like, they're not— they have like, you know, accolades, certifications. Like, the company that laid them off just gave them awards. Last year. Like, I'm like, it's happening. They are rock stars. So it also becomes an opportunity for all of you business owners to kind of think about, okay, there has never been a better talent pool in the world. So that's what they did. This PE, private equity guy, goes into this city, goes, oh my gosh, we have jean makers. We are going to create a high-end, custom-tailored, bespoke jean company. So I go into this event and they usher me into this like red carpet experience where I get— literally, I've never been measured for anything. I buy everything off the rack. I don't know what that says about me, but that I was raised that way. And even my fancy stuff, um, I do maybe have to get my pants tailored because I'm not as long-legged as some of these people think I must be, but That being said, they, they like brought me in and they measured me and like measured my legs, my hips, you know, because that's the problem. I'm a Latina. I'm not gonna say much more about that. No need to embarrass anybody. No TMI. But I'm, I'm shaped in a way that not every jean fits me. Only one that I found in the whole world that fits me. So they like, you know, did all the things. They measured me from, uh, you know, waist down to my toes. And then they let me pick a fabric. And I'm not going to say too much about this because I'm going to like give you too much information about the kind of fabric I like. But some of you can imagine comfortable fabric and the thread that I want. I'm going to do a video when I get them anyway. And so you pick the fabric, you pick the type of jean. They also have chinos, like, um, khaki kind of pants, but I didn't want those because it's called Delta Blue Delta Jeans. I was like, I'm getting jeans. So I got jeans. And I will tell you, this is the other thing about me. I went in and I said, what do— what does everyone get? Like, what's your top seller? And I bought that, um, because I don't know anything about clothes. If my husband was there, he's like the clothes guy, he would have been like, like, he's, he's gonna see that we— I got this and he's gonna be like, why didn't you get blah blah blah blah, a word I don't understand. Um, but I got— I told— I was like, whatever everyone else gets, that's gonna be good for me. So we'll see what happens. I'm excited for it. But it was— but then this is all before I know who they were. Then I get the receipt from Shop that says zero because they were complimentary. And then it tells me like I can track my order.

Yay.

And then I go into the shop, I'm like, why am I wanna buy more? And they're $500 for jeans. I was like, huh? And they're very successful. Like this just made me rethink all of the things I was like, talk about know your audience, right? So now very famous people, you know, they want bespoke custom. Jason and I were talking about it today. They want this like custom experience. Experience. One of one. These jeans I'm about to get are one of one. No one else will have them, right? Like, they won't— they won't fit anyone. I, I could probably give them to Goodwill maybe one day, but like, no one else— like, they're made for me, and it's worth it, right? I mean, some of you are like, I'll never ever, but some of you are like, I mean, for the right pair of jeans, especially for me, like, what I wear is my— like, I get on stages, you know? Like, it's part of who I am. So It's part of my brand, but I was pretty like, I was kind of like, I had a little sticker shock. I was like $500. And then I was like, I need to raise all my prices. I was like, if people are paying $500 for jeans, I need to build another product set for those people. Cuz I would love like the, so just so you know, there are people that do this, that pay $500 and those are your customers, by the way. Go get them. Go find them. Um, custom.

I know.

I can't wait. Exactly. They're custom. Exactly. Um, and I mean, there's so many varieties of, uh, you can pick the, the thread color that they use in the seams, you could pick all the things, how long it is, boot— he said all these words I didn't, I didn't know, but like you all might know them, like flare and boot, boot something, boot, bootleg. Yep, I don't know. Anyway, that doesn't sound right. Bootleg is not the right word. That is so embarrassing. Yes, bootcut straight was the one I knew because that's what I get. Um, and then something slim, slim. So you could get like this just hyper-personalized experience. So that was really, really cool. But what I loved about it was the fact that they leveraged talent in a community that kind of— it was a bad time, right, when that happened. Every one of those humans was like, I was trained for this, I've been doing this for 10 years. What am I gonna do now? And in that moment, a leader saw that opportunity and swooped in and said, I got you all. And now, like, these are people, like, the people that wear these jeans, I, they listed off like all these famous people and I am not into pop culture, so I don't know anybody's name, but they're famous, so you should look it up. I'm sure they have it on their social, um, who wears their jeans. Anyway, it's terrible. I don't know all the names, but it was very, very cool. So. It inspired me because I do think we're getting it wrong right now when it comes to like hiring people and letting people go and thinking AI's gonna save us all when, you know, the people you're letting go are the very people you need to save you. Like they're the ones who are gonna train these models. They're the ones who are gonna keep it from lying, keep it from hurting your customers. Or at least when something bad happens, they're the ones your customers are gonna wanna talk to. They're gonna be like, hu— like me, human. I still don't have a human talking to me on OpenAI. Just letting you know, I've been delegated again to another AI, uh, workspace expert. So I look forward to speaking to Monica later this week. Uh, but that being said, yeah, it's huge, huge opportunity. Um, so I know, right, Jill? Like, we all need to— by the way, this message, you just keep saying it, keep talking about it. If you, if you're passionate, you know, just write about this because people don't get it. And it's not— it's a long-term problem. So people don't see the cost of doing this in the short term. It happens after baby tiger mode, right? In baby tiger mode, this is not a problem laying off a bunch of people that know your business. It's when your baby tiger becomes a big tiger and the big tiger starts misbehaving that you're like, wait, we laid off our, our tiger tamer. Oopsie. Get that person back. Oh, they don't wanna work for us anymore. Like, oh wait, we can only get someone with no skills. Like, oh my gosh, it is a bit of a disaster. Good news is though, some companies are listening, so That's the good news.

Um, what?

Can I really? Oh my gosh, that's a great point. Now, okay, I'm just quickly going to say this for my friends in the room. Um, I may or may not have bought a bedazzled gun. So I'm just saying, it like popped up on my feed. I'm like, how is I— how have I never thought to do this? Like Copilot, right? Like, I could totally bedazzle this. So that's— yeah, if you ever want to know how I blow off steam, I'm totally adding like bling to all the things that I own. I didn't buy it, but it is in my shopping cart. Um, all right. Oh, who's saying something?

I can hardly hear you.

Sorry.

Oh, it's me. Oh, hey, gun— like a gun gun, and you put, put sparkles on it. And, and I was like, okay, I I guess, you know, that's what it is.

Like, you—

it's—

I mean, technically it's like, you know, it's like a glue gun, right? Where you like— it's not really glue, but it like, you know, whatever. You, you should look it up. But not you, I mean anyone who doesn't know what we're talking about. But yeah, it's very awesome. I'm very excited, but I haven't bought it yet. But the first step is putting it in my cart, and then I stare at it and I— for weeks I'm like, do I really need— and it's $26, but I'm like Do I really need a bedazzled gun? But I, I know I will, so I'm just, I'm just hanging on and putting that little— I put a little friction into all my purchases to make sure that I don't just buy nonsense and it ends up getting thrown away. Um, so I'm waiting, but, but I feel pretty good about it, and I'm justifying it to you all right now. But the other thing I wanted to talk to you about before we head into our breakouts, um, is something that's kind of serious, you know, not ridiculously serious like last week where we talked about the class action— not class action, I would— I, I hope it never becomes that big. Um, but the, uh, legal actions that are being taken against, you know, OpenAI with, uh, the, um, wrongful death suits and the mental health challenges of GPT-4 and the rappers and all of that. So if you didn't see that, you can go back and watch it. It was a really interesting, um, session that we had. But today I wanna talk about, it's again, not as critical, but kind of, it's just earlier in the pipeline, which is the new launch on the 27th. OpenAI launched a new product called Prism, specifically built for, um, the science community to help them get their papers out faster. Fun fact, at Accenture, when I was there, this was one of the first use cases we went after, life sciences doing FDA documentation and research paper generation for their life sciences division so they could just get research out into the market for peer reviews. Because that's the long process, right? Is that getting research to be validated by your peers and getting that feedback and then using that to change, like, that cycle is very long. However, just writing the content also is very long. So basically, they— we at Accenture, we built a product that did this using an LLM. And I just think that's a lesson to everyone. Like, there is a huge opportunity to make money in the gap, as I call it, right? The gap between when a big company will commoditize something and when everyone wants it, but it's not available in Microsoft, not available in Amazon, right? It's not there yet. It will eventually be there if it's good enough, right? If it's a strong enough use case, eventually they'll commoditize it. They'll probably even steal from you if you get popular enough to commoditize it. But there's a gap that you can fill and you can make good money just building products that last 2 years while that gap is filled. And then when it gets commoditized, you're already building the next thing that fills the next gap. That's in— they call it arbitrage. It's like 100% easy. You should do it. It's, it's something that you could do. What I like about that mode of thinking, um, is that it allows you to stay very close to your customer and just deliver what they want. Right? Eventually it'll be cheaper if Microsoft delivers it, but in the interim, they're willing to pay a premium to get a bespoke, just make it work the way I want it to. So we did that at Accenture, but now it's been commoditized. It's called Prism. Prism allows you to use— latex is a, uh, basically like a markdown type format that research papers are written in. So it allows a researcher to speed up their time to market for their research documentation. However, when— and this is not a new thing, right? Because there's been these like little gap fillers along the way. So there's already research on the impact to a researcher who is given a tool that speeds up their documentation, that there is an unlikely correlation between the speed of documentation and the speed of research. And so what they're finding— UC Berkeley, um, found in their study, and I documented this in my LinkedIn post, so if you want to know the details, you can go look at it— but what they found was two— I think there were two things specifically that I want to mention to you. One is that now people are publishing more peer-reviewed documentation than ever before. So the volume of research papers to, like, review is way high. That means that the people who were doing it, you know, one or two a week, are now getting hundreds a week. Think about what that does to their job, right? As a peer reviewer, how good are you at something when you know you have a hundred sitting in a queue waiting for you. Like, does that speed up or maybe compromise the quality in which you review those documents? So that's one thing, is that it's causing reviewer fatigue, reviewer overwhelm, right? So that's one problem. The second problem, which is— I don't know, I guess these are both big problems, but the second problem is what happens is this problem with quantity over quality. That with the speed of, you know, the ability for me to now document what I'm doing, people are actually— we didn't know this, but they are tying together the speed of which they document with the speed at which they build their hypothesis. So now the quality of the research is degraded. So it's the worst of both, like, it's the worst of both scenarios where you are giving to a bunch of reviewers who don't have scale or capacity to review research, and the research they're reviewing is lackluster and not as good as it was a year ago, and it is 70% as good as it was 5 years ago, right? So quality of the research is degrading because now we can hit an easy button and generate a research paper, and we might not have done all of our things, but we have an LLM. What does an LLM do? It generates, fills in the gaps. We may not have to answer questions in our hypotheses fully if we have an LLM that's gonna fluff it up a little bit. Ah, it's a kind of a disaster, right? Like it's, so I call it the Prism Paradox because ideally the thing that drives researchers crazy is documenting their research in this format that the peer reviewers want it, which is LaTeX. So that process is annoying. It, removes their joy, right? It takes away from their innovative flow. But now we're seeing this unknown indirect correlation to the quality of the research being impacted by the velocity of that documentation. So really, really concerning, Jill. Yeah, really concerning. I, I don't know. So I— it's not a huge problem yet, but it's something I thought we could talk about. I see your hand up, Jason. Are you leaving, Joe?

Bye. Yeah. No, so DARPA did this when they crowdsourced like the next replacement Humvee for the Army, but they offered money for certain things. So like if you drew a drawing, there was an incentive. So if you were the top 100 sketches that got produced, there was money tied to it. So it incentivized people to deliver a quality product or submitted a CAD drawing or whatever. So there has to be a You know, there are some carrot, but there needs to be some incentive-based when you crowdsource. Crowdsourcing is good and effective, but there has to be some incentive so you get quality, not just a bunch of garbage into your model.

Yes, exactly. I'm very— I'm a little bit worried about it. Do you know how did they fix it?

Did they fix it?

Was there an answer?

Yeah, I mean, Local Motors ended up winning it. They basically— so they did the design that someone drew. They ended up putting a Corvette motor in it, which is a very common motor that there's lots of parts of. And then they used parts off of previous vehicles, like the taillights are from a Honda Civic because it already met the DOT standard of the taillight and all they had to do was set it at the appropriate height. So yeah, I think again, just like with AI models, there has to be guardrails. So you have to put some constraints of, you know, these are the DOT standards for a car. We're asking you to help us make a new future thing, but yes, with some left and right limits or progress.

Yeah, exactly. Left and right limits is, is huge. And I, you know, similarly, if you're laying off the people who would know what limits to put in, right? Like who have done this for 20 years, who were on the last contract that failed or the last 5 that failed. Yeah, I feel like that's really, really interesting. Thank you for that perspective. Joe, what would you like to add or contribute?

Oh, so this— I'm really interested in this discussion because as you were, I was an architect for many, many years and part of architecture is documentation, right? So all of this during this whole project of product development that I've been documenting along the way, all of my architecture. The problem is architecture evolves, right? So how do you keep all of that consistent? So I've got tons of Markdown documents in Joplin. Now how can I resolve that into what is the architecture now?

Yeah.

Like what is the as-built?

Yeah.

And so constant struggle.

I was gonna say that's an interesting, I mean, that's a product, right? Like right there.

Exactly.

Because I would imagine I mean, that's a problem right now. And we just end up, I mean, we end up not having up-to-date documentation, right? Like the architecture is always kind of N minus 1, N minus 8, depending on the organization that we're in. But that's very interesting because I do think that AI could synthesize that and generate, right? Or at least identify the latest evolved architecture.

Exactly. So it's like, it's, and actually what I've been doing is doing it kind of artificially. So when I get to a new architecture, I say compare it to the last architecture.

Yeah.

And roll it forward. So it keeps rolling forward, but that's kind of time-consuming and it still can drift.

Right.

So you still get drift. So yeah. So it's, it's definitely a, would be a great product for us architects, but keeping it consistent and having like one gold reference architecture.

Exactly.

To always go to and know that it's the most up to date.

Yeah, exactly. Exactly. Thank you for your Contribution. Somebody was just gonna say something.

I thought it was—

I'm from Osaka, Noelle.

Oh, great.

Sorry, I joined a little late. I have another call. But I was gonna say, Joe, I've been using ChatGPT to help support going through Markdown and helping me update code for Mermaid and then having Mermaid AI get it up to speed, like, for best standards with agentic systems because it saves a ton of time on diagramming.

Right, because you don't have the rework. You don't have to go back and fix things if you keep it up to date and you're constantly comparing it against best practices because best practices change too, right? So it's great to be able to roll that forward. And by the way, I use Mermaid all the time too to draw diagrams because I like to see it visually.

Yeah, and somebody please throw that link into the chat so we can capture it for everyone else. That would be amazing. It doesn't have to be Blanca, but somebody should. But thank you for that. Thank you for that. It's always good to see, um, and it's also like, you know, kind of it went without saying, right, Joe? Like, you're like, yes, I use that tool. But there's so many things, so many tools that we use right now, like, in the ecosystem of building and architecture. So I think it's really useful when we, we share this with people. Thank you, Blanca. Thank you for doing that. Um, Cindy, were you gonna say something? I thought I saw you up here.

Yeah, I just want to say that Because I was working on trying to do an article in the learning science area to get it published. And so looking at their AI policies, so then I was thinking, and I think about half of peer reviewers use AI. And so it varies levels of restrictions depending upon, you know, I think the rigor of the journal, but I think sort of all of them that you have to declare it.

Absolutely.

And I think some folks are not declaring it. So it kind of gets back to— Yeah.

But I really like what you said about the rigor, right? It is all about the discipline. And that discipline is defined by the humans, right? Guardrailing the system. And so, yeah, it all kind of comes together, right? It is an almost epidemic level of, like, we're laying off people with knowledge about the organization. And we're implementing systems to speed things up. And now the people who would know, like, hey, if you go that fast, you're going to run off the road and hit a tree, like, that person's not there. So there's no one to, like, actually put the right guardrails in. So I just— it's almost, I don't know, Skynet-ish, I feel like, right? Like, that's why our work is so, so important. Jill, did you have your hand up? I would love to hear your perspective.

Yeah, I'll be real quick, but I just— this is hitting home because I've been doing a lot of work researching, like, agentic AI, and we're the human, like, UX factor actors intersect, because I don't think our conversations have been really satisfying in that regard. It's like, oh, we'll put a human in the loop and boom, or like, yeah, exactly. Um, but yeah, with this topic, I'm really questioning if we don't have an opportunity to think more closely about the problems that we're solving, because yes, we want things to go faster, but you've shared examples where doing that interfered with like the emotional, like, dynamic that people were seeking. Like, we are doing things to achieve like functional goals, but also emotional goals. And also, like, yeah, thought is, you know, working through friction, which is good for us in some ways. So, like, being really specific about what we're expediting, I think, would help a lot in the design phase. It's just something I'm playing with a lot, but I'm feeling passionate about it today.

Yeah. And I, I mean, I think organizations really need very prescriptive guidance at this stage, right? Like, they're all about the next stage of building something and getting— but, like, that I think they don't even know what question to ask. So I think you are right on the right, like, on a similar track. What I'm, what I'm worried about, that, that would be great to see some more prescriptive guidance for these organizations. Oh, and before— Javier, come on up. But before you do that, start talking, I wanted to just mention, if you don't know, the best thing to do is to go up into the corner of your Zoom and choose multi-speaker view. I don't know if you all have that on by default, but It just occurred to me that that's how I run my— like, that's my view all the time. And when I— you should do this in all of them, um, but that way you're not just staring at me going— because everyone else has a really unique perspective, and I would love for, uh, you to see everybody as they're talking. But that, um, everyone popcorning up when they talk only really looks, uh, pleasant when you have it in multi-speaker mode. So that's under View up in the top, and then you choose Multi. Speaker, unless you don't want to see everyone, in which case you can change it. All right, awesome. And you could also, I think you can do your own immersive view probably, but maybe we'll do that at the end. Javier, are you still there?

Where'd you go?

Yes, I'm here. So, so the part that I was, I've been seeing very recently is how some people are trying to adopt an agentic type of structure depending on the size of the business. Because they want to, you know, either cut corners or like fusion some, some, uh, some of the roles within the company. And I'm like, I try to really ask why. I go for the like the 5 Why structure to understand really why it's the problem and why you're reasoning behind it. And then, yeah, you know, obviously businesses depending on how big they are, how large, they're trying to make sure to either just cost or to simply align the business needs. It's like, okay, great. But you need to understand, you know, like some frameworks may be better than others. Therefore, you may only need 1 or 2 agents for a specific role or 2. But then you need to understand what is the level that you are you trying to fill the needs of the business in terms of customer experience or fill the volume of requests depending on your business. So those are things that are like, I was like, oh, we don't know that yet.

That's right.

That's right. And that takes a lot of work, but they don't— business analysis, like, like an actual person who does the business analysis.

Yes.

And it's like, that person needs to be in this conversation.

Yes.

And they don't have that person. That's not where they wanna do it though. Like, they're like, no, no, no, no, we just wanna— I mean, I have a lot of, I get, of course, people enter me into the company. I talk to the CEO and they're like, go talk to the tech person, right? Go to the CTO, the CIO. And I'm like, or I talk to the, you know, the COO, um, or the, you know, the person who actually knows how the org, the whole business is run. And they usually own the business analytics team, right? So yeah, 100%. But it's very hard because they want you to go to the, they want you to go to implementation.

Yes.

They don't want, you know, like, yeah, it's, and again, to Jill's point around, um, and Senny around like just rigor and discipline and like we just have to be very prescriptive of like, no, we really have to do this.

Yeah, I will say that. I mean, I just joined a company from Uruguay to— they actually already been doing— they actually were partners with Microsoft while the innovation lab was still there. And then they came up with their own agentic framework and I'm like, oh sweet, I already knew this. It's like, no, we already have it in practice for a year. Oh shoot, this is awesome. So now I'm like, oh great, so things are aligned. And now I'm seeing now things for, you know, adding to my perspective the way they are attacking problems and solving them for businesses. So it's very interesting. So I'll share more of that later, but I like seeing that— what I love, what I'm seeing. And also this perspective kind of helps into what I've been doing, which is software testing. And I have to say, I see a lot of great things coming up, but I see a lot of challenges for businesses as they try to adopt it. And now I'm actually building a program in Spanish for adoption of AI. I figured like this is, you know, people don't know how to really adopt it. And like if it's hard in English, I cannot imagine how hard it could be in Spanish.

100%. I love that. That accessibility is everything. And I definitely, you know, I resonate a lot with what Dave, you just put in the chat. Like, yeah, this is, mostly about organizational change and culture change and like decision-making and leadership. And it, like, if you have those ducks in a row, your AI systems just tend to be better and more scalable and more resilient. And even like most organizations, this is where that 95% of AI pilots are failing data comes from, is that everyone jumped into let's build the baby tiger. And then they realize we didn't build trust with our, our employees, so they won't use it. Copilot. Copilot gets deployed in almost every company that's got Microsoft, and whoever they give it to— executives, business lead, doesn't matter— whoever they give it to ends up going, it's not very good. I don't like using it. It's, it's dumb. It doesn't know how— it doesn't do what I want. I'm like, did you train them? And they're like, no. And I'm like, well, you know, you get what you get. Like, that's like exactly, uh, But that is— you too, Javier— that is a huge trouble. So we are at 3:09. So I do want to— I think so.

Yeah.

I'm like, am I in the right time zone? So I do want to give us a chance to hop into some breakout rooms. This is a great conversation, right? What are you seeing? It's almost like a velocity to quality conversation. Like, what are you seeing in your space? What are you worried about? I would love for us to also just take the opportunity to say the thing you're gonna do, um, on LinkedIn. So I just changed mine. I don't even know what it says. I should probably go look at it, uh, and read it to you. But, um, I changed mine to be more about who I'm trying to serve. And I really do care about these kind of mid-tier companies, right, who the big companies aren't caring about, right? Many of us do. Like, Jill's, you know, in the same boat. Um, Joe is building for those people, right? Like, they don't get a lot of love. They don't get a lot of you know, education. They don't get a lot of free support from the large cloud providers because they don't have enough consumption. So they're really gonna struggle, and they are— they're operating at a scale that really needs our help. But yeah, it's a really important topic to think about, like, how do we keep a company on the right path to keep the people they will need, but at the same time not get so excited about velocity that they end up, right, getting out over their skis like Prism. I think Prism is gonna hurt people more than help it, even though it is the dream solution. It is what life sciences has been asking for, just help documentation get better. They just didn't realize that as humans, which is the change management thing, unless you have like discipline around how you do research before you use an AI tool. And like you were saying, Senny, I'd like, I love what you were saying about like, not just how you use it, but then transparency on how everyone is using it. Like, how are the reviewers using it and what are they allowed to use and not allowed? And that should be publicly documented. If we're building research, we should know what people are doing. And so really, really interesting. Oh yeah, Maurice is talking about your license to Copilot. They're like, here you go, have fun.

I hope it works out.

Kind of a disaster. But the good news is, is like, that's exactly the role you're in now, and that perspective is so valuable, right? Because you can literally tell your future client, I know exactly where your employees are right now. Like, they're like, thanks, now what? You know, like, or thanks, uh, what am I supposed to do with this? You end up being frustrated and annoyed, um, and it ends up wasting more time than helping. But not if you do it the right way. So it really does become an offer that you can make, that you can speak directly to the experience of, which is pretty powerful. All right. So yeah, so let's— don't forget, use— it's literally, I think I, I wrote down, I'm going to try and give you a way of thinking about this so that you, you know, can easily come up with the way— like, my, my LinkedIn statement is like, I empower. I always use the word empower because it sounds awesome, and I learned it at Microsoft. Their, their mission is to empower every human on the planet and business on the planet to achieve more, right? And so empower is such an important word. It's way more valuable than help. Um, what I've uncovered is that when you say the word help, like I help people, when, when someone reads that, they're like, well, I'm not that person. 'Cause nobody wants to admit that they need help. Or I should say most people, like even subconsciously, it puts you in a state of weakness, a state of need. But empower, everyone wants to be empowered, right? So I empower these people to do this thing without this, or I empower these people with this thing that I do. Like, use your first 30 seconds of the conversation just to practice. Some of you already know each other, but that's not what— that's not what this is about. It's about practicing describing who you are in less than 15 seconds when you're in an elevator and you're standing next to Mr. Wonderful, who— I don't know why he has that name, but anyway, Mr. Wonderful, right? Kevin O'Leary.. And you're like, oh my gosh, like you better have this locked in. So use these moments to lock in your ability to share with other people your empower statement, what you do. We call it, you know, kind of your, your statement of like who you are, what you do, who you serve, how you serve them. So get, use this as an opportunity to practice, use every week to practice, but then also share a little bit about how you feel, um, about the world right now. Like we are building systems. To accelerate, and I'm not sure everybody's at the stage where they're ready to be accelerated, right? We're accelerating garbage, right? We're accelerating bad process. So what are your thoughts on that? What do you, you know, a lot of us that are in these rooms, um, are working on it. So if you wanna share what you're thinking already and what you're doing, that would be really valuable to those who are, are just getting into this space. So thank you everybody in advance. Of course, I should be building our breakout rooms while I'm talking, which I'm not, but I'm doing it right now. If you can't join our breakout rooms, don't worry. You're not— it's no obligation. It's always nice to meet you, but if you can't, please don't join the breakout room. Otherwise, you'll just ghost them. Like, it'll be your face and you're not there. So feel free when I open up the breakout rooms to just, you know, gracefully exit, and I'll bring you all back who went to breakouts, and we'll close from there. Um, about 10 minutes or so. We usually like to end the call right around the 30-minute mark. Um, so about 10 minutes, give or take. That should give everybody a chance to— um, I'm gonna go with this many, and then I need to quickly, um, assign automatically. I need to quickly, uh, put some of these into, um, uh, some bots into— I really do think that the, uh, Zoom should get smart about the bots. Um, I feel like it should know what the bots are and where they are and move them to a room automatically for me. But that's a feature I've asked for. Um, so let's see, we don't have a lot of bots today. If you see a bot in your room, um, I will do my best to remove them over time, but let's see. Oh, some of you are kill— oh no, there it is. There we go. Room 5. Okay. Um, if you end up in room 5, I apologize. I don't think you're a bot. It's because you had some bot-looking name and I threw you in there accidentally, but it looks like good.

What?

Dev's in the house.

Hi, Dev.

I didn't see your face, but it's great to see you. What's up? Okay, awesome. I think we're looking good. Go have some fun. Talk about what you're doing, how you're doing it. And if you've got questions, now's the best time to ask. All right, here's your rooms. I'll see you in about 10 minutes. All right, everyone, if you are still here, it's because you're on LinkedIn, YouTube, or one of the other channels that this is live on. We are now in our breakout rooms. If you want to come learn, network with people who are building AI, scaling AI, leading AI, there is no other place to be. So, hopefully you'll join us. The easiest thing to do is just to go to noelle.ai, N-O-E-L-L-E.ai, and you can join our free community where these calls are hosted every single week and you'll get an opportunity to learn from some of the best leaders in the world actually building every single day. It is my honor to be with them. I'm super excited to have an opportunity to, to have a chance to grow this community. We just hit 2,200 members. We hope you will be the next one. We'll see you soon. Thanks for being here and have an amazing weekend. Go build something awesome. Bye.