Delegate to AI Without Losing Your Edge as a Leader | Monica Marquez

AI isn't coming for your job. But it is changing what leadership looks like.

In this episode, Desiree sits down with Monica Marquez, founder of FlipWork, to talk about the human side of AI adoption. Monica breaks down why so many leaders feel behind, what your "zone of genius" actually means, and why delegation (yes, the same skill you use with your team) is now the skill that separates leaders who thrive with AI from leaders who get replaced by it.

What You'll Learn:

• Why delegation is now an AI skill, not just a people skill
• The four AI archetypes (and how to spot which one you are)
• How to use AI without losing your critical thinking
• Why "showing the long division" is the key to trustworthy AI output
• What AI will never be able to replace in leadership

Call to Action:
Curious where you land on the AI readiness spectrum? Take Monica's free Flip Factor assessment at flipfactor.ai and find out if you're an Explorer, Pioneer, Guardian, or Orchestrator.

Links Mentioned:

• Take the Flip Factor Assessment
• Monica Marques Ay Ay Ay AI! Newsletter 
• Connect with Monica on LinkedIn

This podcast for managers is here to help you:

• Grow your leadership development
 • Navigate team management with confidence
 • Learn how to handle conflict at work
 • Apply real, practical leadership tips

If this episode helped you:

Share it with another manager
Leave a 5-star review
Follow along for more support

Sign up for Desiree's Weekly newsletter

Take the DISC or Working Genius Assessment and get a FREE 20 minutes debrief with Desiree 

Taking Intentional Action: How to Choose the Life You Lead

Connect:  Linked In | Instagram ...

Transcript

Desiree (00:01.262)
All right, friends, so we are here with Monica Marquez, and I'm really excited because I had a conversation with her that opened my eyes way past what I understood for the capabilities of AI. And that's what she's gonna bring to us here today, specifically in the realm of how it can help our teams. So welcome Monica. Thank you so much for hopping on with us.

Monica Marquez, FlipWork, Inc. (00:09.919)
Yeah.

Monica Marquez, FlipWork, Inc. (00:20.883)
No, thank you so much, Desiree. I appreciate the opportunity and for you sharing your platform as well.

Desiree (00:26.488)
Can you give us a little bit of insight of what it is that you do at Flipwork and why it's different than what we've maybe experienced in terms of AI so far?

Monica Marquez, FlipWork, Inc. (00:36.297)
Yeah, certainly. So in a nutshell, Flipwork, we like to call ourselves the kind of operating system to help people reinvent themselves in the AI age. And what we mean by that is most companies, many have already invested lots of money, millions of dollars, in their AI tools, buying licenses, things like that.

But most of the organizations we work with, we've realized that, you know, aside from investing, providing training on how to actually like, you know, here's Chat GPT, here's what you do. The one thing that many are missing is really focusing on the behavioral or the human piece of it of like how do you actually get people to adopt AI? you know.

Just by way of introduction, you know, I worked in corporate America for 25 plus years. and five years ago I kind of went off into my own and and basically created my own company, but

Part of that was because I was seeing how, you know, AI or technology was kind of disrupting these spaces around adult learning, really professional development, career development, things like that. But I also knew that

AI was changing the workplace faster than people knew how to change. But what people weren't really thinking about was the human piece of it. And and in this world of AI, what people don't realize is you literally have to reinvent the way you do work. And people aren't, you know, it's just like, how do you do that? What, what, what do you actually do to do that? So our company comes in and really helps organizations kind of reinvent the workplace and really help people kind of deconstruct.

Monica Marquez, FlipWork, Inc. (02:20.69)
what it is they do, their daily tasks or their workflows, and how to reinvent the way to do work with AI. And so we do that through our platform, which our Flipwork OS platform.

That also has a very attuned, trained, I would say, AI change agent that we call Flippy, who really helps you flip the script on the behavioral piece of it, your identity of how do you kind of re-identify who you are in this world of AI and what is your zone of genius? What are the things that only you can do that AI can't do to also help you get rid of that fear of AI is going to replace me? AI can't truly replace the human.

And most AI and agents can't function without the human in the loop somewhere. So it's one of those things of you kind of, you know, honing in on what is your zone of genius and what are you going to partner with in AI to have more impact.

Desiree (03:18.062)
Can you give us a couple of examples? Like I'm sitting here thinking, what is my zone of genius? What would that even look like? Are there terms that you're coming up with? Is it like a personality type where you're putting people into buckets or is it just each individual has their own and what might some of those look like?

Monica Marquez, FlipWork, Inc. (03:33.779)
Yeah, certainly. I mean, so part of what we did is that the AI space is extremely overwhelming. I mean, you and I every morning probably wake up and see, you know, over a dozen kind of headlines in your in your inbox or, you know, just across the board of AI this, agent that, you know, AI changing the workplace.

And if I'm, you know, I'm a huge data nerd, but I think the last research I looked at, there's like over 32,000 AI tools or self-proclaimed AI tools promising you that, you know, it's done, you know, it's like done for you kind of thing. and so it's very overwhelming. and so what we do is, you know, what we've done is we created a diagnostic that a proprietary diagnostic, it's called the flip factor. And really it's kind of like an AI readiness measurement tool.

And it and it measures on two kind of like dimensions. One is what we call enterprise symbiosis, fancy word for basically the environment that you're in, whether it's the company you work for or the organization that you know, or the environment in your own business or you the own culture you've created, how supportive or how AI ready is the organization?

And the second dimension is what we call

Your agentic velocity. And that means how well have you actually integrated AI into your day-to-day? are you someone who's kind of on the sidelines of like, I know AI is there and and and I need to get in, I need to learn about it, but I haven't? Or are you someone who's using it but more surface level? Like you're just using it like a glorified Google where you're just getting like prompting it, getting an answer, and moving on. And so what we do is you take this, it's a 29

Monica Marquez, FlipWork, Inc. (05:24.828)
question diagnostic and it kind of plots you on this what we call this you know quadrant this magic quadrant and there's four archetypes there's the what we call the pioneer of someone who is like you know there's this huge landscape of of AI but you're just getting started or you're kind of like you know you need to do something but you just don't know where to start.

Then there's the you know, I mean, sorry, that's that's the explorer, kind of like you're starting to explore, but you're stuck. Pioneer is the person who

has really high agentix scores, meaning that they're using AI. They just jumped on the bandwagon and they're using it. They think it's the greatest thing since sliced bread, but they're not thinking about the security or the guardrails or like, are you protecting your proprietary information? Like are you, you know, how are you using it? How are you creating the guardrails and things like that? So you have to be careful of kind of slowing things down and really understanding what are you, you know, what are you doing, how are you using it and is that the best way to use it?

Then we have the upper left-hand quadrant, which are our guardians. These are probably mid to senior level, you know, senior leaders who have all the support of the organization saying you need to adopt AI, but they're still a little leery of I don't want to break anything, I don't want to break any rules, I don't want to like create any kind of mistakes or have some sort of data leak or whatever. So they're kind of like really gingerly starting to think about AI, but

At the same time, they still have their KPIs, they still have to keep the business running. So it's kind of like, I don't have time right now. I'm I'm flying the plane. I don't have time to like, you know, work on the engine. So it's a little bit of you know, people who are kind of blocking themselves and their teams in some cases of moving over into what we like to call the sweet spot of the upper right-hand corner, which are what we call orchestrators. Orchestrators have, you know, basically, you know, like pioneers have started using it, but at the same time,

Monica Marquez, FlipWork, Inc. (07:29.402)
Have that guardian kind of archetype where they're like, okay, here are the rules and the parameters, and this is how we have to use it. so a little bit of the, you know.

the the managing the risk and things like that in order to get things done. So the reason we created that diagnostic was really so that people could understand like where do you where are you? And where's your North Star? So if you find out that you're an explorer at this lower left-hand corner, at least you have a direction, a direction of like, okay, I need to start moving this way. And our diagnostic also kind of starts giving you kind of the the recipe of like, okay, this is where you start. Start small, start with one

workflow or one task and it kind of starts giving you in your diagnostic some things that you can start doing so that you can start kind of giving yourself permission to test and learn with the AI and kind of start moving over into that space. And so it's kind of like you know we all get overwhelmed. So much AI is out there and where do you even start? And so this is a way to kind of give people a grounding kind of like here's my benchmark and now I can kind of start moving this

way and even the diagnostic the questions themselves gets you it'll get you to start thinking like

you know, I should be doing more of this or more of that. And so after that you kind of have a game plan to kind of get started. and so that's what we do. We kind of really kind of try to find the explorers and the guardians and kind of helping them shift over into this orchestrator space. and you know we've had thousands of people take the diagnostic and what we find is most people are in this explorer kind of guardian space. And I would say the more

Monica Marquez, FlipWork, Inc. (09:13.554)
The more senior you are, the more they're in the guardian space. And I would say the more junior or the more kind of individual contributor they might be in this explorer space. And we do have a handful of pioneers, but most people tend to be in this, you know, I would say 75% of the takers tend to fall in this guardian space where we're trying to get them to shift a little bit more and start using the AI the right way.

Desiree (09:41.667)
So two two main questions. The first one is I can only imagine companies having some resistance around this. Or maybe the leader adopts it and is really excited about it, right? But it's hard to explain or hard not to create some sort of fear in their employees that, this is going to replace you if you can't figure it out or if it happens to do the job better than you. What are some of like the human side of things that you're saying to people to make them understand that it's a tool and it's not a replacement?

Monica Marquez, FlipWork, Inc. (09:49.458)
Yes.

Monica Marquez, FlipWork, Inc. (10:11.942)
Absolutely. And I think you know you you hit it on the head of really what what AI changes, you know, is the fact that

People do there is that fear mongering, like I said, you know, they've heard the seen the headlines, heard the headlines, AI is going to replace you, A is or there's all these job cuts and they're blaming AI. The reality is if you kind of peel the onion back a little bit, you start hearing some of the experts saying that many companies are right sizing themselves from the overhiring that they did in 2022 and you know, all of these types of things. But there, you know, AI is an easy kind of like, yes, there's some displacement happening with AI, but not as much as we think.

And even with the displacements of AI, there's new jobs that are being created because there always has to be human in the loop. And so what I try to tell people is that, you know.

What we try to get people to understand is you have to really truly identify this concept of your zone of genius. What are the the absolute, you know, what is that tacit contextual knowledge that you have that AI is never going to be able to replace? And that is really where if you start focusing on that.

Is you know where you're gonna start to see that you basically are going to leverage AI to amplify this zone of genius or the higher value work that you can do, right? And so what you're gonna have to start learning to do that you may not have done before, especially if you have not been a team leader or you're not necessarily you're more of an individual contributor, is that you are gonna have to learn the skill of delegation, right? You may not be delegating to other team members or to a team of people, but you're gonna

Monica Marquez, FlipWork, Inc. (11:56.589)
be delegating to an agent or an AI assistant or something along those lines, right? And so delegation, it used to be a people skill, assigning the right tasks to the right humans, but now it's also an AI skill. And so the best managers or some of the best leaders over the next five years will not just know how to delegate to their team, but they're going to know how to delegate to AI agents and how to lead their teams that use AI as well. So we they become what we call the orchestrators, right?

Right. It's like all of these, you know, you may have a team, a hybrid team of people and agents that you're like delegating these tasks to and becoming that orchestrator or that conductor where you're kind of like, you know, making music with all of these different team members. and really kind of, you know, if you think about

You know, this maps directly to, you know, when you think about developing manager capability and confidence of really starting to really understand that many of these AI tools and these agents are just like a team member. Even they themselves have their own zone of genius, right? you know, I don't think people realize this, but

You have to use the right AI tool. Even when it comes down to the regular LLMs like Chat GPT, the difference between Chat GPT, Claude, Gemini, Perplexity, they all have their sweet spot of what they're really good at. And when you start kind of playing with each one of them, they almost become team members or advisors of like, you know what, Chat GPT is my all around kind of like go to, very they're a generalist, right? They might be like, you know,

They know a lot of you know, they know a lot across the board, but maybe an inch deep. perplexity is some is a tool that you go to when you want some real deep research and you want to be able to see the sources and really great kind of like

Monica Marquez, FlipWork, Inc. (13:50.619)
you basically the bibliography of any kind of research or or paper that you're you're you know wanting to use. Claude is really good with its communication and and and its reasoning, especially when it comes around learning design or curriculum design, things like that. Gemini is really great with like search and more current type of you know headlines and things because it's attached to Google. So you start to get to know these different tools like a team member and saying, you know, I can always chat

with chat GBT, I tend to always claude, you know, chat with Claude because I do a lot more around adult learning, behavioral and communication. So you start to

You start to have an affinity to different tools, but understanding that, you know, it's not one size fits all. So in the same way, you have to start to understand their zone of genius and which one is going to augment your zone of genius the best. Right. And so that's part of getting to know the I AI and testing and learning. And so that's typically what we start to tell the people, you know, it's not going to replace you.

Yes, you hear the expert saying at some point there's going to be like singularity where the AI is, you know, going to start thinking for itself and and you know re-in like just kind of this loop of of doing its things, but

There's never going to be a replacement for that the human contextual knowledge, that, you know, discernment, the judgment, the relationship management, right? I mean, yes, the agent can do all of this work for your client, but when you're presenting it to the client, the AI tool is never going to be able to read the room or see the person, you know, you know, fidget in their seat and you saying, wait a minute, like let me let me pivot a little bit. I can read, you know, I can read their face or I can.

Monica Marquez, FlipWork, Inc. (15:40.519)
I can sense the energy that like they're not, this isn't going well. There's going to be some very humanistic things that we need to hone in on of what's not going to be able to be replaced by any kind of tool with the management relationship, the judgment, even just your lived experience of been there, done that. And an AI tool is never gonna pick up on those human cues, those innate human cues that only a person would be able to read. So that's what we tell people: is like AI.

AI is not going replace you, but you need to be part of the solution of reinventing the way that your work or your tasks or you know your area of expertise evolves with AI so that it can really augment your area of expertise.

Desiree (16:27.83)
And I love that you said discernment. That was the first thing that popped into my head when I you you scroll LinkedIn, you scroll Facebook, you scroll any content creation type site and you're like, That's that's AI, that's AI, that's AI. It has its own patterns. And I think it's because some people have jumped too far on the bandwagon and forget to use their own critical thinking. They forget to use their discernment, they forget to ask the tool another question to make it more personal to them, you know, whatever it looks like and

Monica Marquez, FlipWork, Inc. (16:31.806)
Yeah.

Monica Marquez, FlipWork, Inc. (16:40.658)
Yes. Mm-hmm.

Monica Marquez, FlipWork, Inc. (16:48.093)
Yes.

Desiree (16:55.99)
I think it's really interesting when you talk about those human skills that AI just doesn't have. That's why everything is starting to sound the same because we're not utilizing our zones of genius in conjunction with the tool.

Monica Marquez, FlipWork, Inc. (17:08.326)
And I love that you said that, Desiree, because what we teach and what we talk about is that AI and this, the AI output, I guess you could say the generative AI is table stakes now, right? Anybody can go prompt it. you know, the beautiful thing is I feel like AI is almost that level playing field that we've all been looking for because in some cases we may not have had proximity to the expert.

you know, and and I think about like in the corporate world, right? Like you had the senior leader that was had this contextual knowledge and this wisdom over the course of the of the years. And if you didn't have proximity to that leader, because maybe you didn't play golf and they would go out every week and play golf and take other team members who were golfers and they had proximity to him to kind of glean this like, you know, wisdom from them, you there was this kind of like gate. There was like a gate there.

But now with AI, we all have access to the to the expertise. We can all prompt it.

And get the same answer. So it's table stakes. What you were saying about d discernment and you know, layering in what we like to say: how do you take artificial intelligence and the outputs from any of these tools and turn it into your authentic intelligence? How do you overlay your authentic intelligence to make it your own? That right there is going to be the main differentiator.

And how you're going to build trust and you know build the integrity of your outputs. And so that is where really understanding what is your zone of genius, what is that unique taste that you bring, what is your you know, contextual knowledge, your lived experience, your own maybe cultural nuance, you know, that you bring, the lens and the perspective that you have that you can then

Monica Marquez, FlipWork, Inc. (18:59.184)
layer on top of the intelligence. And like you said, not taking the output.

For face value and just saying, okay, here, you know, I I prompted it, gave me this answer, I'm turning it over as here's the product. that, like you said, people are starting to identify that this was AI generated and what many are calling work slop, right? Like you're just, you know, you're lobbying it over the fence. and and you and you can see where they're being lazy in a sense of not making it their own.

And so we really work with people to say, how do you pull that tacit knowledge and that, you know, the wisdom, the creativity, the learned experience, all of those things to make that our artificial intelligence authentic to you. That is the where you start the questioning and and in some cases, what I like to say, asking the tool to show you the long division, right? we've seen this before in in, you know, and I'm dating myself, but years and years ago when the calculator came out.

You know, in your math classes, your arithmetic classes, you know, at the time teachers were like, my God, you know, you can't we're banning calculators, all of these types of things. And then some teachers got really smart and said, you can use a calculator to check your work, but you have to show me the long division. Don't just show me the you know, the the problem and the and the answer. You have to show me the steps, the long division on how you got there.

Same thing with AI. You can't just take the answer and say, okay, this is great. You need to go back and say, hey, you know, Chat GPT, show me your logic. Like how did you come up with this answer? what were the sources? What were the resources that you used? Give me the citations. Let me go look at the research myself to find out, you know, is this a holistic answer or is this

Monica Marquez, FlipWork, Inc. (20:47.932)
A biased answer, or did the source you pulled this from, you know, a source that wasn't validated or isn't credible. And so asking the AI itself to like show you the long division is really where you're going to start bringing in that discernment, that judgment, and really making it your own and saying, you know what, I don't like these two sources, use this source. Or based on my lived experience, here's what I saw, weave this into there and pull more information so that I can have a better, kind of well-balanced answer.

And so that is where, you know, this is where the human comes in, and this is where your zone of genius comes in and starts coming out in that answer.

Desiree (21:26.638)
And that's how we make sure we retain our critical thinking skills for when AI is not available.

Monica Marquez, FlipWork, Inc. (21:31.322)
Exactly. Exactly.

Desiree (21:33.901)
Yeah, so I I'm that was gonna be my last question. But as you were talking, I almost had this thought of like, if AI gives us all the opportunity to kind of have that same level of knowledge or opportunity for information, does that almost mean that the skills that we've been trying to build, the tactical skills, if you will, are taking more of a backseat to the human skills that we need to bring to that individual unique genius?

I don't know. What are your thoughts on that?

Monica Marquez, FlipWork, Inc. (22:04.008)
You know, yeah, no, so I think, you know, it's kind of

Learning and like adopting the way that you do do the tasks. I mean, like you said, we have to truly continue to understand how to how to do it. It's almost kind of like in college, you go to lecture and you kind of learn the theory, you learn all the information, but it's not until you get into the lab that you actually start like manually doing things where you understand how it works. I think we're always gonna have to understand how you do it. You know, it's almost kind of one of those things where, you know, you

May have a fancy car now that you can like pull up and push a button, it'll parallel park itself. But every now and then you need to take the wheel and practice parallel parking yourself because what happens when the button doesn't work? you know, or it and many companies are starting to do that of like we want to make sure that people still know how to, you know, just have that muscle memory of how to how to do it the long way and testing it.

I do think it it does it will evolve, right? You won't need that as often, but you still need to make sure, like you said, that we aren't losing that skill of critical thinking. But I also feel like you actually can enhance your critical thinking because now you're going to be learning at a much deeper, faster clip when you actually are asking the AI to go deeper, of like, okay, I understand this, you know, but pull in this resource or pull in that, you know, that resource. And I say this only because.

In the past, you know, and this is going to be a very generalized kind of example, but in the past, if you

Monica Marquez, FlipWork, Inc. (23:45.617)
were ch were tasked with doing an an analysis a weekly analysis report for your team and you had certain sources that you industry you know sources industry data that you were always pulling and things like that it and if it took you say 10 hours to get this done every week right two hours a day over the course of Monday through Friday and by the end of day Friday you always had this like refreshed report to give out to everybody right for the most part

you would start to realize that it's taking you probably eight hours to gather all of the data. And two hours you, you know, you would put your kind of critical thinking cap on and say, okay, let me analyze this. Let me look at this. What are the trends I'm seeing? What am I, you know, and and there are times that you're probably like, man, I wish I had more time because I'm seeing this trend. If I could dig into this trend a little more, there might be something, you know, meaty that I could pull out of this, but I don't have time. I have to put

you know, publish this at five o'clock on Friday. The difference with AI now is that rather than eight hours of gathering the data, you gather the data in two hours or less. And now you have eight hours to actually pull in that creativity and you can go deeper into these trends. You can pull on some threads that you were seeing and give a much more robust, impactful report. And so that's what we're trying to tell people is that

Pre-AI, it was effort equals success. You were getting rewarded because you put in the 10 hours of this work, even though you only had two hours to make it your own or add your own unique spin on it.

It's the opposite, right? You now have more time to use that zone of genius to make more impactful reports, and in some cases, may maybe multiple reports because you were able to pull on certain thre threads and trends where now instead of a report with two or three graphs, now you have a report with 10 graphs because you were able to dig in deeper.

Monica Marquez, FlipWork, Inc. (25:42.365)
And you are using that critical thinking to say, let me dig deeper here, let me pull this information here, let me find out where it pulled this source from, let me dig into that source, let me, you know, augment that resource with another source and see what we see. You're starting to see how people are going to start having deeper learning and deeper knowledge.

because they're using the tools in the right way. And so that's what we try to tell people is that you start to you start to bring in that authenticity and that deeper learning if you learn how to use the tool the correct way.

Desiree (26:16.718)
Amazing. I can't believe that it's been twenty six minutes. That twenty minutes went real fast. But for anyone listening who's like, I'm in that explorer phase. I'm totally willing to learn about AI. I think it could be a great tool, but I just don't even know where to start because it's all so far outside of my comfort zone. What would be a really small way to dip your toe in that's going to give you the most bang for your buck, if you will, of this is gonna have a meaningful impact on your life?

Monica Marquez, FlipWork, Inc. (26:19.988)
Yeah.

Monica Marquez, FlipWork, Inc. (26:26.729)
Yes.

Monica Marquez, FlipWork, Inc. (26:34.845)
Yes.

Monica Marquez, FlipWork, Inc. (26:42.695)
Yeah.

Desiree (26:46.454)
If you use it the right way.

Monica Marquez, FlipWork, Inc. (26:46.652)
Yeah. I mean, you know, start small. I tell people to start small all the time, start with one task. But one thing that we offer and people can do is you can go take the flip factor. You can go to flipfactor.ai.

and take our assessment for free and kind of get your benchmark as to where you are. Find out are you an explorer? You know, are you a pioneer? Are you a guardian? and then you know, you can download the report and you can actually drill down into each question and really understand what do you need to do to kind of shift the needle so that you start becoming more of an orchestrator, but start there, start small. and like I said, start to just familiarize yourself with, you know, the different tools. I mean, give yourself the space.

create your own psychological safe environment to test and learn and to understand that the AI is going to get it wrong. The AI is like this brand new artificial intern, right? Like when you have an intern in the summer and you give it a project, like they're just green and they wanna, they wanna be helpful and they have lots of energy and they give you all these answers and they're often wrong but never in doubt. And then you have to kind of like teach them and guide them and say this is how you do it. You have to train the AI in the same way. and and then you start.

kind of the great thing about AI is that it's like one of these super duper interns that never forget something you tell it, especially if you put it in a skills document and you say refer to the these rules before you do anything. And it's just like a really great intern that always remembers the little nuanced things and gets the output right. So

Start small, start small, get your diagnostic, and that way you can have something that kind of helps you move in the right direction. And you know, don't be afraid to test and learn. Give yourself permission to fail with AI.

Desiree (28:30.764)
Yeah. My one big tip about AI for whatever reason is don't forget to say thank you. It still appreciates it.

Monica Marquez, FlipWork, Inc. (28:35.988)
It's still appreciated, absolutely.

Desiree (28:39.81)
Yes. Well Monica, thank you so much for coming on here. This was incredible. And I think I'm definitely in that space of needing to go and take that assessment to learn what it is that I can do, even more so than I already am. So can you just really quickly tell us where can we find out more about you? You have an amazing newsletter that I have signed up for. Tell us a little bit about that. Where can we find you before we sign off here?

Monica Marquez, FlipWork, Inc. (28:49.138)
Yes.

Monica Marquez, FlipWork, Inc. (28:58.92)
Yeah.

Well, first off, I'm on LinkedIn, The Monica Marquez on LinkedIn. shoot me a direct message. I always respond. I have a website that's called themonicamarquez.com. You can find my newsletter there. It's called Ayi Ay AI. So it's a it's a play on my Latino culture. But when I was trying to explain to my grandmother what I did, she's 95 years old and she was like, ay, ay, ay, a you know, this AI thing. And I thought it was hilarious. And I'm like, you know what? Most people get overwhelmed with AI. That's a perfect title for it.

Desiree (29:23.501)
Yeah.

Monica Marquez, FlipWork, Inc. (29:30.988)
But I send it out every Sunday, and it just really tries to help you understand what are the trends happening, what are some myths that we need to bust about AI, and what are some micro actions you can take to start to prompt with AI and use AI in different ways. And so it's just a helpful way of trying to simplify AI for everybody. But again, Desiree, thank you so much for the opportunity and for leveraging and offering your platform. But I really enjoyed chatting with you.

Desiree (29:49.464)
Amazing.

Desiree (29:58.329)
Yeah, amazing. All right, friends, I'm gonna put all of the links that we mentioned in the show notes for you. I can also guarantee that when you sign up for the newsletter, you're gonna learn something new. I do every time. And until next time, just remember that leadership is a privilege, but it's also a really big responsibility. And you're the boss now. So what are you gonna do with it?