Everyday AI Podcast – An AI and ChatGPT Podcast - EP 388: The Duality of AI Productivity – Can It Be a Bad Thing?

Episode Date: October 25, 2024

Can we be too productive with GenAI? Yeah, we're getting more done—but what are we losing in the process? And when does efficiency start to harm creativity and well-being and what can we do about it? Yen Anderson, Copilot Champ, Azure and AI Microsoft, join us as we dig into the duality of AI productivity. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Yen questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:1. Training and evolution of AI use2. Practicality and use of AI in daily tasks3. AI adoption, productivity, and deep insights4. Highlight of Copilot’s utilityTimestamps:02:20 Daily AI news04:30 About Yen and her role at Microsoft05:36 Microsoft's Copilot Studio announcements create significant buzz.08:35 AI reduces meeting overload, improves efficiency.11:27 Delegated tasks to Copilot; improved workflow efficiency.15:24 Balancing tasks between humans and AI efficiently.18:19 Using Copilot for insights, energy management, brainstorming.21:46 Check out WorkLab podcast by Microsoft for insights.23:17 Experimentation is key to advancing chatbot capabilities.28:27 Balance productivity with rest, family, and joy.30:33 Start small, improvements compound, learning curve eases.32:22 Constantly sharing knowledge and receiving feedback.Keywords:Yen Anderson, Copilot, repetitive administrative tasks, document creation, brainstorming, flexibility, user control, advancing human potential, Microsoft 365, Microsoft Graph, AI training, AI experimentation, AI security and privacy, WorkLab podcast, Generative AI Community, AI learning opportunities, LinkedIn, AI in daily tasks, Microsoft 365 Copilot licenses, mental health, verification and accuracy, continuous learning, Jordan Wilson, Claude by Anthropic, OpenAI Orion, back-to-back meetings, AI benefits, intentional workflow changes, joy versus efficiency, self-care.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the all-in-one creative AI studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. One of the first things that people chased when using generative AI was increasing their efficiency, right?

Upping their productivity. And I think that's one of the lowest hanging fruits of generative AI. It's probably something that if you're listening to this show, we all experienced it. But can too much AI productivity be a bad thing? Can it actually lead to mental drain? I think that there is a duality of AI productivity that we don't talk about a lot enough, not just here on the show, but in general. And can it impact your mental health?

And what are some ways that you can use AI maybe to combat that? So we're going to be talking about that today and a lot more on everyday AI. And I'm excited for our guest today from Microsoft. So more on her. in a minute, but I actually have to shout out Microsoft, our partner here. So the Work Lab podcast from Microsoft is made forward leaders who want to understand the future of work. It offers expert insights on everything from how to approach digital transformation to

how AI can help unlock more value from your company's data. That's W-O-R-K-L-A-B, no spaces available wherever you get your podcasts. So where do you get your podcasts? Aside from the Work Lab one, you can. go to Your EverydayAI.com. So thanks for joining us. You probably already know. My name's Jordan and welcome to Everyday AI.

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We have like 400 episodes. Everything's free. Learn from the leading. experts in the world. All right. Before we get started, let's do as we do every single day and go over the AI news. Hey,

live stream audience. We got a secret poll. Let me know. All right. So first, Claude has introduced a powerful new analysis tool for enhanced data insights. So Claude from Anthropic has just rolled out a new built-in feature that allows users to better write and run JavaScript code significantly enhancing its analytical capabilities.

So this tool is now available to all Claude AI users in feature preview, marking a pretty notable advancement in how users can interact with their data. So this analysis tool functions as a code sandbox, enabling Claude to perform complex mathematical computations, analyzing data sets, and generating real-time insights. So this feature allows Claude to systematically process data, cleaning, and exploring it step by step, to ensure accurate results moving beyond abstract analysis. So users can upload various types of data such as customer interactions, global sales figures, or financial data if you have access to do that, right? Always check.

Prompting Claude to deliver more tailored insights that can drive decision making. All right. Speaking of model updates, probably one of the biggest ones that everyone in the AI world has been waiting for is the next big new new new model from OpenAI. So Open AI is, according to reports, set to release its new Orion AI model by December. So Open AI's upcoming Orion AI model is generating a significant amount of buzz as the company, according to reports, plans to gradually roll it out to trusted partners by December 2024. That's according to reports from the verge. So this new Orion model that could come out, right? This is, again, just reports.

It's rolling out to select partners first, which could be Microsoft. and that could be announced in November, according to the verge. Yeah, so keep your eyes on the Microsoft conference, Ignite 2024. It's happening in Chicago here in November. So maybe we'll get more official word, but we'll have more on those stories as well as meta's new exclusive partnership. Adobe's making some creatives upset. So make sure to check all of that out in our newsletter.

But you tuned in today to talk about AI productivity or to hear about it. All right, and this is an important topic that I have, I think, one of the best people in the world to discuss this. So I'm excited to bring on to the show. There we go. Help me, help me welcome. Yen Anderson co-pilot, champ, Azure and AI at Microsoft. Yen, thank you so much for joining the Everyday AI show. Thanks for having me.

I'm really excited. Oh, I am stoked about this one. And also, yeah, people, like a lot of people listen on the podcast, but this is also a live stream. So thank you for waking up at, you know, 5 a.m. your time to join us. We appreciate that as well. Of course. Of course for you, Jordan, of course. All right. So, uh, yeah, real quick, can you tell everyone what, what, what, what does your role entail at Microsoft? I am a customer success account manager. So what that means is I help our enterprise customers with their digital transformation, uh, through our cloud services on

Azure and also, um, co-pilot. So it's co-pilots are hot topic right now. Oh, it's, yeah, like everything that's been, uh, announced recently, right? We've covered it here on the show. You know, earlier this week, Sadi and Adela, Microsoft CEO kind of previewed the co-pilot studio. And, you know, we have the now co-pilot wave two, all of these new announcements. It feels like there's this tremendous buzz now, right, with all, everything that Microsoft's been able to accomplish. But, you know, yeah, maybe if you can even walk us through a little bit, like, so what are you doing? Like, are you training employees internally? Are you training employees

externally. Can you take us a little bit behind the scenes? Right. So I'm an early adopter of co-pilot. And unofficial to my job, I have a passion of demoing co-pilot to my internal Microsoft employees globally across the world. And I'm really passionate about it because I love to see those gain efficiencies that we have with co-pilot. And I love to share the knowledge in doing that. And it's just something and that I'm super passionate about. And I've been doing it for over a year now. And I'm just having a great time meeting everyone. All right.

So let's, I want to come back in a little bit and talk more about how you even train internal employees. I think, you know, our audience can learn a bit, a little bit from that. But I kind of want to jump ahead and just talk about the main topic for today's show. So this duality of AI and, you know, hey, it can make you very productive and efficient.

Is that a bad thing? Can that be a bad thing? Can being too productive actually be bad? It is if we're only the goal is to be extra productive and keep turning out work and things like that. I believe the power of using co-pilot is that we save time and give time back to doing the things that humans do best, which is to think and have. breaks and have that restful time in order to do that. And mental health as well to have that work life balance. But if we keep going with full productivity nonstop, as if we're machines, then yes, that could be a bad thing. Yeah. Yeah. Like I feel that way sometime, right? And even,

you know, a very quick personal story. I was in meetings, in person meetings yesterday for about nine hours straight. I didn't take hardly any breaks, right, aside from like, to use the restroom or refill my water, but nine hours straight. And what's weird to me, yeah, is like, I didn't feel as tired or as mentally fatigued as I do normally in an hour using AI pretty heavily. And I was kind of struck by that, right? Do you, like, do you find yourself going through those similar things? Like, is using AI, do you feel like more of a mental strain even in the same amount of time? Or am I just, like, weird on that one?

Well, your story is actually really common. We do know that people are in back-to-back meetings, and they just don't have enough time to process information and just to think. And with me, using AI, like in my meetings or recapping meetings or even prepping for meetings, it takes that information overload, like, out of my head. And it's really, truly a virtual assistant

that really helps me as I'm going throughout my day. And because I'm doing that and I'm sending co-pilot on behalf of, you know, when I can't attend all these meetings, I'm actually in less meetings because of that because I'm sending co-pilot for me. And that means that I'm not falling behind my work. I still have all the information. I just have this virtual assistant now that's helping me. And, and most importantly, I don't feel that burnout. I don't feel that like, you know, the nine-hour days and feeling like I can't. process information. I have co-pilot now to help me with that. Yeah. No, that's that's that's huge.

And, you know, hey, real, real quick live stream audience, you know, if you do have a question for Yen, please get it in. I'm super stoked. I like, I was very persistent in asking Yen to come on because like, I know so many of you guys always have co-pilot questions. So now's, now's your time to get them in. But, you know, Yen, can you maybe even walk us through a little bit of your own journey personally, right, using, you know, co-pilot and generative. AI in general, how did you kind of deal with this maybe productivity shift, right? I think for some people, it happens pretty quickly. And then they just, oh, well, now they just double down and they're just working more and

more. And some people find like a good balance. But maybe could you even walk us through your own maybe early journey of using, you know, co-pilot or any other AI tools that you were using? And then how did you and how do you continue to try to find that balance of productivity, but like mental clarity? Right, great, great question. So I was an earlier adopter of chat GPT.

I was actually hired into Microsoft the same month that chat GPT was announced to the world. It was super, super excited. And I started using it to actually write bedtime stories for my kids. It is a very common use case, right? And I just was just blown away by it. And so I had this like hunger to learn more. So I started going on forums, meeting influencers, things like that. And then a few months later, co-pilot was announced by Microsoft.

And I thought, oh, my gosh, this is a game changer. Enterprise tools with AI in there. Oh, my gosh. And so what I did was I was very intentional about how I would introduce AI into my daily workflow. So I wrote down two columns, things that I wanted to keep doing myself. and then the other things that I wanted co-pilot to do for me. And so as soon as I got co-pilot, I looked at my list and started embedding that within my workflow. And what I started with was like using it in meetings, using it to write emails, better professional emails without having to worry about typos or grammar, things like that.

And then also I just started demoing it out to my team. By the second day I got co-pilot, I was showing my coworkers like, hey, look at this. And Word got around and I started being invited to other teams to do the demo. Then I started doing town halls and conferences. And what's really interesting is that I used to be really shy in meetings, like even with like five people. You know, I'm really, really shy. And now I present to thousands of people at a time. And it's because I found this, I found, you know, AI to be so impactful.

and I'm so passionate about it. So it broke me out of my shell because I wanted to share this knowledge so much. And then now I do it on LinkedIn and other platforms as well. And I just can't stop talking about. My family has asked me to stop talking about it. So that's why I'm out there in the world talking about genetic AI so much. But it's been, you know, life changing for me. And I just want to share the knowledge with others.

So hopefully they can see the full benefits of it too. Yeah. And I want to dig a little bit deeper on something that you said there, Yan, because it really resonates with me. So, you know, early, early on in your journey, you said you wrote down kind of your main task in two columns, things that you wanted to keep doing and things you kind of wanted co-pilot to do. Like, that's great. I, like, I haven't even intentionally done that, right? I always say, I still write our newsletter every day. I write it with my, my hands. I don't use AI, even though I could because it's something I still enjoy. Why did you?

kind of make it into those two columns, it sounds like very early on, you kind of drew a line in the sand. Why did you do that? And in what benefit do you think that that has had for you, whether it's in terms of productivity, you know, mental clarity, creativity, like walk us through that. Right. So I knew that co-pilot was going to change a lot of things, especially with these Microsoft tools that we've been all using for a long time. And I was really intentional about breaking habits that I've developed using Word and PowerPoint and outlook and things like that. And so I wanted to reframe how I looked at these tools with the lens of AI coming in, co-pilot. And so in order to do that, I needed to observe my work behavior with these tools and then see where co-pilot can come in and assist me.

So I kind of did that prep work to kind of evaluate my work. myself and how I work in order for co-pilot to be invited in and help me. So I was really, really intentional about like reframing my thinking around that. You know, one thing you just said there is breaking habits, right? I almost go through it as like saying you need to unlearn things because sometimes those habits are maybe good habits, right? But maybe they were just extremely inefficient habits that AI can do better, right? how like in in your experience because you know you have trained you know thousands of employees at

Microsoft as well how can they kind of determine right hey what should I keep keep on my kind of human to do list versus you know what should be handed off to AI if some of those things are maybe things that they're really great at are things that they love right is it so good to do things very manually in an inefficient way if it's something that gives you energy gives you joy? Like how can people really, you know, granularly break that down? Right, right. So this is such a great question. I love that. So we have to remember that we are in control of this. And co-pilot is the co-pilot here to assist us. So we're not taking the human out of this equation, right? And anything that brings you joy, I'm a big believer. If it brings

you joy, keep doing it, even if it's manual and you love it, things like that. The great thing about co-pilot, it's meant to come in and take care of those really repetitive administrative tasks that, you know, kind of takes up time and you don't enjoy doing it. And so I looked for those type of things. And, you know, as far as like maybe document creation or, you know, brainstorming where I get stuck, I use co-pilot to get me to my next level, my human potential level, right? And for me, I found a lot of joy in that, you know, extra joy using AI. But no, like, if you love writing emails, if you love writing meeting notes and meetings, please, I always get doing that.

The great thing about co-pilot is it's flexible to your needs and what you want to do. And, you know, it just, it's truly your companion and you use it however you want. You're, you're the pilot in this whole equation. Oh, look at that. Look at that. Yeah, you're the human's the pilot. The AI is the co-pilot, right? Yeah.

Just dropping these, these gem quotes on us. Yeah. And so, you know, one thing you said there is, you know, one thing that you're using it for is to actually push your human potential, right? So I do want to go over here in a minute more about some maybe more practice. and productivity-focused use cases, but maybe what are some of those use cases that you've seen that actually helps people improve themselves, right? Because I think when we think of AI, we just think of getting tasks done quicker, getting more tasks done, but not necessarily

pushing your human potential. Can you give us an example or two of what that looks like? Yes. So what I do is I use co-pilot to analyze my work activities. Like where do I spend the majority of my time. Am I communicating? Am I in meetings? Am I creating documents? So I use it to really have some insights and then also to manage my energy level throughout the day as well.

And so because I have those insights, I can change my work behavior and activities with those insights to amplify my impact in my human potential. And so I also use it for brainstorming because with co-pilot and being a large language model, it has access to so much information, more information that I can hold in my head, obviously. And so the power of like having different perspectives, connecting dots that I haven't thought about, you know,

things like that, and quickly simulate, you know, problem-solving techniques and, you know, more of those advanced techniques, reasoning techniques with co-pilot, it just takes my work to the next level. And that's really we want to get, yes, we're summarizing, yes, we're recapping and all that stuff. But we want to start moving towards deeper insight into our work and getting into that next

level of thinking with AI, where it can assist you and get you kind of unstuck and see from different perspectives. So that's how I use co-pilot, like to look for ways where I can think about things a little bit differently and better. Yeah. And maybe, for those that maybe don't use co-pilot a lot or maybe who their organization isn't using Microsoft 365 and, you know, the co-pilot integration, how can it do that, right? People are like, wait, how does co-pilot know all these things, right? So, you know, how can you just talk to co-pilot and it knows, oh, you're spending maybe too much time here or here's everything you have going on? Like, how does that actually work? Right. So the beauty about co-pilot is

it's tied to your Microsoft graph. And what that means, it's your M365 applications. So it has access to my outlook, which is my calendar, all my meetings, all my emails, in my, my team's channel, all my documents. I have access to SharePoint sites, things like that. So throughout the day, it knows what I'm doing. It has access to all those things. And so when I use co-pilot for deeper insights into, you know, what I do, then it just amplifies my, you know, my, like, it just has access to more beta than I can pull up myself and go manually searching for it.

So it's just fantastic. And the fact is that it's one of the more secure options out there because it works within Microsoft's security boundary. you know that the data never leaks out. Also, the data is never used to train future models or things like that. So you can rest assured that Microsoft has that handled. And so I just, I knew that was a game changer. As soon as it was co-pilot brought into our enterprise environment tied to our Microsoft graph, I knew that this would be so different than anything else that we've had. Yeah. And I have a lot, well, I have a lot of more questions for you, Yan, and live stream audience, get yours in now. But real quick,

got to take a quick little water break for everyone here and quickly shout out Microsoft, our partners. So the Work Lab podcast from Microsoft is made for leaders who want to understand how work is changing. Effective leaders adapt. They stay on top of trends and they embrace any edge they can get. They learn from the ways technology is transforming other fields and how it's enabling organizations to work more efficiently and productively. So for real world lessons and actionable insights to help you stay ahead, check out the WorkLab podcast. That's WorkLab, no spaces available wherever you get your podcasts.

All right, yeah, make sure you go check the new episode out, y'all, that just dropped. It's great. So, Jen, I want to ask, you've trained, what, so you said 16,000 employees at Microsoft, something like that? Yes. Okay. That's fine. That's so many.

what have you learned, right? So over the past two years, so you said that you started right around when chat TVT came out, which I love, what have you learned kind of in your journey of training employees internally? Because I'm sure that many of the people listening to this very episode are in, are doing the same thing you're doing, right? They're just a little further behind, right? But you're the company that makes Microsoft, but they're probably training their team.

So what have you learned throughout that process? and how has it evolved? Right, right. So prompting when we first started, it was so different. And it's fantastic where it's evolved to today, where it's using more of these advanced reizing techniques, and it's so fun to play with it. But having trained so many people, you know,

I've learned that experimentation is key, have that sense of curiosity and just try it. I think one of the hardest things, is like, you know, we have these maybe fears or hesitation for trying something new. The thing is with these chat bots, they're using natural language processing. And it's sort of like having a conversation

similar to what we're doing here. And when you interact with it in that manner, this back and forth, you know, and have this iterative process and push the boundaries of what these chat bots can do, that's when you see the real insights. and get the real value of it. And so if you just prompt one thing,

and prompting is like how you message with these chat slots, but if you just prompt and then run, you're not getting the full value out of it. And so I always recommend have that back and forth, have that conversation, have that insight. Another thing that I do is I always ask for like variations. Like if I ask for an email drafted, I'll ask for 10 versions of it.

And so I'm the editor. I'm not like, I select the ones that I like and then I refine it and make it in my own voice. But, but yeah, it's been quite a journey. But the first step is just to try it and try it every day. See it as like, you know, building a muscle. You go to the gym, right? And you want to get really, you know, powerful and do these things. Tree co-pilot the same way.

Use it every day little by little and, you know, look for those use cases that will be impactful in your role and then also share that knowledge out, share it with other people that they can see the benefits of it too. One of the best things about genetic AI tools is the community of learners around it. And the fact that things are constantly evolving and changing new features, new models, like everything, new capabilities, it's so fun to find your tribe of learners or your community and just be out there because there's there's a lot that is available. You can certainly check out my LinkedIn. I put out a lot of content, but there's great training and courses that you can take.

LinkedIn has really great ones. And, you know, this is the time for you to learn in this era of AI. and it's never been easier to create and produce things. Like, I'm building games with my middle school kids and simulations and dashboards and, you know, all these fun stuff. And because this is like low code, no code, you don't have to be a programmer. You don't have to know how to code. And you're using natural language, like a conversation with these chatbots to do things that I never thought was possible. Like I didn't know that I would spend my weekends building apps and games and all this stuff.

And I think it's just so fun. It's so fun right now. Oh, it's, it's, uh, so speaking of fun, we have some fun questions. I'm going to try to do a little bit of a, of a rapid fire here. So maybe we can get to a couple of them. Uh, but, you know, a sabbatical life here joining us from YouTube. Uh, earlier you said that you sent your co-pilot to your meeting. So she says, trying to imagine how that works.

How does that work, Jan? Right. So as long as the meeting is recorded, right? And Microsoft and Outlook, if you can't attend a meeting, just say follow. And then you'll get a meeting recap of the notes and things like that. And so when I'm triple books for meetings and things like that, I have to choose the one that I want to go to. By the end of my day, I'll ask co-pilot recap the meetings that I wasn't able to attend.

So it gives me a nice summary. And so I still have the information. And what's nice is I can interact with co-pilot for deeper insights into the meeting. So I'm not just getting meeting notes. I'm having a conversation with co-pilot with that information saying, what does this mean for my role? What steps do I need to take? What do I need to do for the next meeting if I'm able to attend?

So it is just so powerful in that way. So I don't have that fear of missing out anymore. I'm sending my virtual assistant on, behalf of me. Right. And that, and then that, you know, that requires that your organization, you know, has Microsoft 365 co-pilot's licenses enabled for everyone, right? Yes. Okay. Perfect. All right. Another great question here from Quran asking, you know, trying to talk about how you can use AI to get the most out of it, but to not become too dependent or addicted to AI tools. That's a great question. How can you balance that? Right. So for years, I've been kind of a

productivity nerd and I and I'm kind of obsessed with like different mental frameworks and systems thinking and things like that. And so I am a believer that we're human and not machines that we shouldn't work endlessly and things like that. And you're right, like there is the aspects of addiction because, you know, these chat bots are always available to us. And And we have to remember that, you know, they're there to assist us and we're still human at the end of the day. And humans need rest and we need breaks and we need time to just think and process. And we need time with our family and friends and things that bring us joy, right? And so we have to be mindful of that.

And so I set a timer for myself. I also have, you know, a puppy that loves me and tells me that he needs walks and things like that. So, you know, I have, I put these things in place to make sure that, that I'm, you know, taking care of myself, my mental health and things like that. Because, yeah, it can be a lot of fun. But, you know, we're still human. We still need, you know, our time to take care of ourselves and the people that we love. Yeah.

I think that's such an important call out, yeah, and especially those that are using AI, like every single part of their day, like I'm sure you do and I do as well. Another great question to hear from Monica asking, how long did it take you to go from simple productivity improvements to real in-depth insights and deeper knowledge with co-pilot? Great question. Wow, that is a great question. I think, let me see. So I say like a couple of weeks or so. I think studies have shown that if you spend about 10 hours, you become pretty proficient with a chat bot. And you kind of learn the tips and tricks and things like that.

But I started small. I didn't try to overload my entire system and, you know, things like that. I started, like, finding little things that I can make changes to. And then those little things compounded over time. And so I think I really started seeing the real benefits after a few weeks of those deeper insights because also I needed to learn how to prompt and, like, you know, how to do it better. But now with these latest models, you know, the learning curve is not as difficult as when we first started and we're trying to fumble around and try to figure out what, you know, what it was. And now it's so much easier.

But, but yeah, I recommend starting small, finding those little things here and there. And then it adds up over time. Yeah. And I think the compounding improvements, yeah, is especially important, right? As Microsoft and other companies, you know, start coming out with, you know, autonomous AI agencies. you know, that are so easy to use, right? And reasoning models. I think that's important.

I think we have time for one more here from Cecilia. So she's saying, Yen, love your intentionality and mindfulness. But how did you verify that co-pilot was accurately doing what you would have done? And how long did it take you to go through this transition? Ooh. Oh, yeah. So verify.

Okay, so remember, this is emerging technology, right? And so we always want to make sure that we verify. things for accuracy and do our due diligence as being the human pilot in all of this. So how long did it take for me to go through the transition? I don't know if there was like a specific time. I think that my journey has been pretty long because not only did I introduce it in my life, you know, and personal and work life to really enhance my productivity and, you know, all the benefits of it, but I'm also teaching others as well. And so I don't think it was an exact

time. I think, you know, it was just sharing as much as possible because as soon as I learned something, as soon as a prompt, I thought, you know, was really impactful and really great. I share it immediately to see, you know, to a wider distribution to see what people thought about it. So I, you know, it was kind of cyclical, like, you know, constantly trying things, you know, excited about it, showing people. And then they come back to me and there's feedback in that. So I will continue doing that going forward because I love it. I'm passionate about it. So I would say I'm still transitioning.

I'm still learning. It's certainly. there's so much more. There's so much more to do in this space. And I don't see the end at any time. Yeah. All right. So, Jen, we've covered a lot.

We can't keep you forever because you probably have thousands of more of your employees and coworkers to collaborate with on. But maybe as we wrap here, what's your maybe one most important takeaway for our audience who's wanting to get the most out of, you know, co-pilot. to be ultra productive, but to still balance it and, you know, not have it lead to burnout. What is that one most important piece of advice? The most important thing is take care of yourself. You're the human.

These chat bots are here to assist us and help us. And you decide. You decide how it works for you. And if you take that intentional approach, I think you're going to see real benefits and value of it. And yeah, just remember, you're the human. that's the most important thing and take care of yourself and just introduce AI to see how you can enhance your humanness from it. Yeah, I love that, Yan, and like what Marie said here in the comments, the human is the pilot, right? You still are the pilot, you know, and now we just have a better and better

co-pilot to help us along. So, Jan, thank you so much for joining the everyday AI show and taking time out of your day to be with us. We really appreciate it. Thank you for having me. And hey, as a reminder, y'all, we did cover a ton there. You know, we appreciate yet and taking time to come and share with us. We shared a lot. We covered a lot. So if you haven't already, please go to Your EverydayAI.com. Sign it for the free daily newsletter.

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