How an MIT Research Scientist Makes AI Useful

I sit down with Bryan Reimer, Ph.D., a Research Scientist at MIT who leads research on human-centered technology at the intersection of AI, human behavior, mobility, and public policy.

Bryan has spent over two decades studying how people actually behave inside complex systems, especially in cars, organizations, and high-stakes environments where “automation” can help… or quietly make things worse.

Topics we cover:

• Why companies rush into “AI strategy” without defining the use case or ROI
• Tech-first vs consumer-first thinking and how to design for real humans
• Why observation beats assumptions when building for behavior change
• “Copilot, not autopilot”: how Bryan uses AI without giving up authorship
• Using ChatGPT as a communications teammate for editing, tone, and clarity
• The hidden problem of “work slop” and how AI can help interpret messy writing
• Why incentivizing AI adoption inside companies actually matters
• Skill atrophy: what we lose when we automate too much, and what we should build instead

Tools, Platforms, and References Mentioned:

• ChatGPT
• OpenAI’s AI Leadership Guide
• GM Super Cruise, Tesla Autopilot
• How to Make AI Useful (book, co-authored with futurist Magnus Lindkvist)

Who this episode is for:

• Founders and operators building AI into products or teams
• Leaders trying to create an AI strategy that actually makes sense
• Anyone navigating trust, safety, and ethics in automation
• Builders who care about human behavior, not just features

Learn more about Bryan Reimer:

• Book: How to Make AI Useful (available on Amazon)
• Bryan Reimer on LinkedIn: linkedin.com/in/bryan-reimer

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"How I AI" is a concept and podcast series created and produced by Brooke Gramer of EmpowerFlow Strategies LLC. All rights reserved.

Transcript

Bryan: 0:01

So right now, lots of businesses out there, I need an AI strategy, I need an AI strategy. What am I gonna do in AI? And they're very quickly rushing to implement things without thinking about the systems that need to fit around them and what the ultimate return to investment is likely to be. So we are so rushing to implement technology, we're forgetting about the use cases and how it's gonna enhance society, business, and life.

Brooke: 0:23

Welcome to How I AI the podcast featuring real people, real stories, and real AI in action. I'm Brooke Gramer, your host and guide on this journey into the real world impact of artificial intelligence. For over 15 years, I've worked in creative marketing events and business strategy, wearing all the hats. I know the struggle of trying to scale and manage all things without burning out, but here's the game changer, AI. This isn't just a podcast. How I AI is a community, a space where curious minds like you come together, share ideas, and I'll also bring you exclusive discounts, and insider resources, because AI isn't just a trend, it's a shift, and the sooner we embrace it, the more freedom, creativity, and opportunities will unlock. Today's episode is a powerful one. I'm sitting down with Dr. Brian Reimer a research scientist at the MIT Center of Transportation and Logistics, and someone who has spent more than 20 years studying the intersection of ai, human behavior, mobility, and public policy. What I love about Brian's work is that he doesn't get lost in the hype. He's focused on the simple but essential question, is this technology actually useful? And if it is, how do we make sure it truly supports people instead of overwhelming us? In our conversation, we talk about why so many companies still rush into AI without thinking about the human side. Why trust and transparency matter more than ever, and how automation can both help and accidentally hurt us if we're not intentional. Brian breaks down how humans adapt at a much slower pace than the tools we are building, and why the future will be shaped by those who use AI thoughtfully, not perfectly. If you're curious about where AI is really heading and how to stay grounded as everything accelerates, this is a conversation you'll wanna hear. Alright, let's get into it. Well, welcome Brian. It's so exciting to have you here today.

Bryan: 2:31

Happy to be here, Brooke.

Brooke: 2:33

I love to always kick off my podcast and give you the floor to share all about yourself and how you ended up in the intersection of ai where you are today.

Bryan: 2:43

So I've been leading research at MIT for a little over two decades focused at the intersection of human behavior, technology and public policy. Um, and really interested in how we can reshape mobility, and AI to improve life, work, and play. My work really focuses on the human element of systems. So really interested in how we connect with all this. So much of our time is spent building new technology, thinking about new toys and gee whiz, but the ultimate question is. Is it useful? Do I integrate into that? Do I leverage that? Does it actually get used in the way the design team ever envisioned? Um, in, in many technologies, yeah. Designers hit the mark In other technologies we use things well beyond in, in their expectations. Um, many times for the better, sometimes for the worse. But ultimately as a society, we need to integrate us as humans. More effectively. Thinking about really the intersection of how we amplify human expertise as opposed to how do we replace it? And that's, that, that's where my foray into AI really has begun over the last several years. Um, you know, AI to support and augment human behavior as opposed to to general AI to really replace us.

Brooke: 4:05

Beautiful. That really sets the scene for so many places that we can go in our conversation today. Right off the bat. I love that you brought up the topic of play and how important it's to really still make this fun for us as we're building and creating. And I read a statistic the other day, I can't recall it was just sharing about the percentage of companies or softwares that are being built in this time and which ones are actually successful and make it past year one or year two. And it was very low. So I think it's a really important topic that you're diving into. What makes AI useful? Is it really beneficial? Um, but would love to just bring it back to when was the first initial moment that you started getting into AI and using it for your work?

Bryan: 4:50

So my doctoral work way back 20, 25 years ago, I, I did a whole bunch of coursework in artificial intelligence and used what we would think is as antique frameworks today in problems that was trying to solve, that were not really solvable back then. So my experience with AI really streams back about, you know, 25 years. It has always been a growing set of capabilities, tools, and approaches that have gained social relevance over time. And I think it's social relevance because at the end of the day, they're enabling the toys that we're playing with, whether that's our smartphones or computers, our cars. And we have, you know, just the tip of iceberg o of what machine intelligence can do to amplify human behavior. But all along the way, I've witnessed too many folks focused on, you know. I need to do this and I need to algorithmically, improve things to do this. And no appreciation for the human's role in the system. you know, part of that is, is we love the touch and feel of technology and when we build something, we take it to our executives. They can feel it, they can touch it. use it well. Of course they will. Um, In reality, maybe, maybe not. So I think when you look at all the investment in AI and technology right now, it is such a technology first mindset as opposed to a consumer first mindset. And I'm not saying they don't overlap. In a lot of cases they do, but if you come through the line set of what the consumer is likely To do that helps shape the technology to be much more successful. So right now, lots of businesses out there, I need an AI strategy, I need an AI strategy. What am I gonna do in ai? And they're very quickly rushing to implement things without thinking about the systems that need to fit around them and what the ultimate return to investment is likely to be. So we are so rushing to implement technology, we're forgetting about the use cases and how it's gonna enhance society, business, and life.

Brooke: 6:46

That's such a valid point. I, there's a funny meme going around the internet and it was, you know, corporate executives and CEOs saying, what do we want? Ai, when do we want it? now and, what do we need it for? We don't know.

Bryan: 6:59

Well, well, wall Street rewards organizations with a good AI automation strategy. I mean, look, automated driving is time a topic I've spent nearly a decade focused on, it's back in vogue now and part of that is it's not any closer this year than it was last year to a real sustainable business. But, you know, wall Street, a reward or an automation strategy. So you know, from an executives, we need it now. I

Brooke: 7:19

Okay. Is.

Bryan: 7:20

the consumer long term adapt to these technologies and build a needed

Brooke: 7:24

Yeah.

Bryan: 7:25

It just sets us up for another failure of we can't succeed.

Brooke: 7:28

Hmm. So bring me to that consumer first mindset. How do you get in the mind of your consumer?

Bryan: 7:36

So I think a lot comes from watching. You know, I used to tell people and it's still absolutely true today, is that, you know, go out to the street corner and watch how people are behaved. You'll learn an enormous amount in a few minutes. Um, Go out and sit in the park, watch, pay attention. You know, the

Brooke: 7:50

Hmm.

Bryan: 7:51

as you might call it, is not the same as you and I. They're different. We're all different. We're all very individual.

Brooke: 7:57

Yeah.

Bryan: 7:58

So, you know, we can learn a lot by watching. Um, I've spent, you know, the best part of my career watching what people do in cars. What do you learn from that? Is that you learn, people do a lot of what we know they shouldn't do. And we tell'em we shouldn't do it. They do it anyway. They behave in ways that they're in the little cocoons you know, believing we're safe, believing we can get away with, doing things that are a little above and beyond the law because we're protected in some way. And but understanding that also tells us that we need to rethink about how we're, we're motivating people to do the right thing. humans really don't like to be told what to do. Many of us really hate it. You know, but we can be supported to move where we need to be moved in, in much more soft ways. Or ways that we could incorporate designs that help us move towards much more strategic frameworks over time.

Brooke: 8:46

I think that's so fascinating, the point you made about how we're all unique and different, and I think that that's one of the biggest benefits of ai and even from a marketing standpoint, you can really personalize and target. I've heard it everywhere from course creators to offering a choose your own journey experience and everything being hyper targeted and personalized, which is really cool to see.

Bryan: 9:12

Brooke. I don't think it has to be perfect. I think that's the part that a lot of people are from. It's gotta be a perfect personalized journey. You know what, I think we have a lot of time to play with here that, that if it's just a little more of something, it's a little more enjoyable to me, that's a lot better than the vanilla ants I had before. So, you know, I'm okay with two or three different flavors of ice cream to choose from. That's'cause that's better than being force fed the vanilla before.

Brooke: 9:33

So I'd love to get into your day-to-day using ai, and you are a founder. You are an author. How are you using it to support yourself, either from your day-to-day to a business advantage? I'd love to get into your

Bryan: 9:50

so

Brooke: 9:50

operations.

Bryan: 9:51

I am a ChatGPT user and I believe in using ChatGPT extensively as a firm member of the communications team. It helps refine, hone text, provide opinions on the flow with things that, that, I'm not saying it's better or worse than a human. I mean, it is a machine. Um, I definitely trust colleagues to a greater degree, but colleagues aren't awake at 11 o'clock at night looking to provide you instantaneous feedback. So when you go out to a colleague for feedback, I'm going out now with something much closer to a finished product. So know, once in a while you'll use the tools for ideation, but I'm a real believer in, in writing what I want to write and in helping that core member of my communications team honed that. And the suggested language changes have a tendency to be really good because you can give it the audience you're looking for and it'll take the frame and tone of that and shift it around, you know, you know no difference than you would've written it send it to your comms team before and said, I'm writing for X, Y, Z. Can you help me hone this? And I also find it helps interpret communication that is really difficult to read. So, you know, we all get a lot of work slop you know, when, whether that's machine generated or human generated. I unfortunately get more human generated work slop than I do machine generated at times. You know, I. Folks in that send something back that made complete sense to them. But in reality is make clear sense to me trying to figure out that nuance of what they're trying to say. Hey, I have an interpreter, even though it's in English. I still need an interpreter. Hey, okay, now I see how they're getting from point A to point B in 20 pages of text. You know, and I think there's a huge ability to help us make sense very much, much as a copilot, not an autopilot. using it to assist decision making, augment my capabilities and move faster and share things further than one would ever beforehand.

Brooke: 11:39

I agree. One of the ways I use chat GPT as well is interpreting conversations because so many things can be lost in the message and just having a second pair of eyes and asking, what is this person really trying to say and read in between the lines? I find it very useful as well.

Bryan: 11:57

Yeah. And Brooke, I don't I think that's what's key to me is one of my talking points in this, it's an opinion no different than

Brooke: 12:03

Hmm.

Bryan: 12:03

I, it's an electronic opinion. Now, I know of a lot of folks who, who are resistant to this change. And, And I think they are and will continue to be left in the dust. And their speed in which they can hone, make decisions and fortify information. I think, the best way to me to think about it, it's, you know, you're willing to use spell check or you're not, is the modern spell check.

Brooke: 12:25

Yes, I compare it to if you let your camera in your car assist you with reversing, then you should have no reservations to using ai.

Bryan: 12:35

Yeah. Yeah. And remember that camera is an assistance technology, not a replacement technology. Many

Brooke: 12:41

Yes.

Bryan: 12:42

have gotten awful lazy and don't turn around to look behind us. But at

Brooke: 12:45

Hmm.

Bryan: 12:46

the backup camera was built as an assistant technology to scan and say, oh, is there something over there? Not to replace too many people are staring at the technology and trusting this the very narrow view that it provides.

Brooke: 12:56

Hmm. Yeah. So speaking more about human behavior, and you've done so much research on this topic, and one thing you said on our intro call was that humans aren't going to be able to adapt as fast as this technology is coming through right now. And so what do we really need to understand about human behavior as this AI is truly accelerating?

Bryan: 13:21

And I think that's a really good question, Brooke. I think that, you know, humans adapt fairly slowly, although we may, tag on to technologies like the iPhone, all, seemingly overnight. The predecessors to that and the fundamentals for that were already there in the iPod and the Blackberry, I mean, it was, it was really the touchscreen, the interaction that all of a sudden made this useful to many of us beyond the, the smart cell phones at the time. Um, So very few technologies are, are gonna have that kind of explosion out there. We move much slower. We build trust over time and that's averted quickly. So when we look to all of this technology coming forward, I think transparency and trust are two of the fundamental core components that developers, designers and marketers need to be thinking about. We need to trust what we're doing. If we don't, we're not likely to spend our money on it, not likely to submit our private information, not likely to leverage it, et cetera and trust is best built to me with transparency. You know, I may not like what you're doing with my data, but at least you're being honest with me and you're telling me why. The use of the data can augment, help, enhance, et cetera. So I, I think that we need to be focused on responsible use of ai, which is really keyed into trust and transparency. What's core is that the machine intelligence, the ai, the technology is going to continue to move faster and faster. As I heard someone say the other day, Moore's law is, is fundamentally obsolete at this point that the growth of these tools and what AI and, and other related technologies are going to create is almost mind blowing. You know, our ability to harness that, unless you're working with it full-time and even if you are working with it full-time, you know it's still gonna surpass your capabilities to keep track with. you know, as older individuals and, and are mid-career. You know, we need more time to play. And when I say play is because that's the experimentation where we feel un uninhibited and we can learn more effectively when we're, you know, given guardrails. We're not really learning. We're learning within a box. And I think a lot of these tools especially where we are today, it's about learning how they can augment my workflow, support me to be better and improve my ability to accelerate at scale.

Brooke: 15:36

You just shared a bit about transparency and data quality. What other challenges might be showing up during this time, how can we really bridge this gap between capability and actual usefulness?

Bryan: 15:51

Yeah that's a big one. So the capabilities are there. Usefulness is if I can harness those capabilities to actually do something of value you know, we can create hugely capable tool, incredible capabilities to do X, Y, Z. But if no one touches it, it's not useful to anybody. so that's taking and moving this capability into something that can enhance, my life or society at large. Just a piece of technology that's created to do something interesting. Doesn't necessarily make it useful to society at large. When we think forward here, to the seamless integration of this technology as part of life, that's where the risk flags go up for a lot. You know, governments sit to, to prevent risk. It's easier to say no than it is to say yes. In ways we need guardrails to protect our privacy, cybersecurity our competitive advantages globally. Geopolitical risks are real. So we do need some guardrails, but we need to be thinking very wisely of how do you build those guardrails, but while allowing the technology to evolve and the utility of that technology to creep up over time.

Brooke: 16:54

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Bryan: 17:47

And Brooke, that's a, that's a great question as well. I think it's very individual. I see a bunch of folks who I'm not touching this stuff. I want nothing to do with it. Uh, you know,

Brooke: 17:56

Mm-hmm.

Bryan: 17:57

Too risky. It might, you know, might take my information. I see a lot of other people saying, Hmm, that's interesting i'm not using it a whole lot but clearly I need to be, I just haven't put the time in there. And I see a number of folks using it accelerating and moving faster beyond the folks who are, are dragging their feet. You can see the folks who are honing it. You can also see the folks that are not honing it and blobs that it is clearly not even edited. we see it all the time. You look at it and in this telltale signs that this wasn't even edited you know. Couple words that don't make sense. Caricature uses that. There are telltale signs this was done on autopilot, not copilot. be. We need to be thinking about how, business leaders begin to curtail the misuse of these technologies in the organizations and begin to um, incentivize the accelerated use.

Brooke: 18:44

You said something really important just now about incentivizing. Open AI released its playbook on adopting and integrating into your business. And one thing that they recommended was incentivizing staff and employees to use AI and to weave it into their end of the year or, six month review. And I thought that was very fascinating shift of how to get your employees more engaged into trial and error and exploring AI within their business.

Bryan: 19:20

mean, look, you obviously, you know, the folks at Open AI have a business incentive for increasing

Brooke: 19:25

Yes,

Bryan: 19:26

No question about that. I do think that organizations, look the high flyers are using this and accelerating moving really quickly, but

Brooke: 19:34

Mm-hmm.

Bryan: 19:35

take. The, the laggers and accelerate them a little bit. They're gonna sit back a couple years from now and wonder why the world has moved beyond them? And catching up later on is gonna be even harder.

Brooke: 19:45

Yes, absolutely. There's just gonna be a greater divide if you aren't integrating and adapting. So let's get into a fun portion of the interview where I ask each guest to put on their unique creative hat. And if you're to wave a magic wand, and create a new AI app or system really targeted on your unique use case of problems what would it be?

Bryan: 20:09

I want AI searching my inbox more effectively.

Brooke: 20:13

Ah.

Bryan: 20:13

you know, quite frankly, whether it's the integration of thoughts from one sender or finding information we do not have any copilot integration into our inboxes at this point. And, oh my God, that is what I need and I don't need it as an add-on. I need a direct integration, to extract meaning from emails that are sitting in there, or maybe more at this point, I lose track. And then go back through and say, okay, I need a summary of what I've conversed with that this individual over the last year with my God, I, you know, I'm willing to give away that I need a little protection. It's not gonna be used and disclosed, but that is the tool I need to today. And obviously, you know, I, I work at MIT where, where my inbox is governed by corporate policy to some degree. you know, so even tools that exist out there, I don't have at this point.

Brooke: 20:59

You bring up an important topic of you have 50,000 emails right now to go through and

Bryan: 21:05

I'm gonna go look what's in here right now. Uh, no, it's a hundred thousand and that's just the

Brooke: 21:09

Wow.

Bryan: 21:10

That doesn't

Brooke: 21:10

Yeah. Now that we have ai, I mean, I spend. Multiple times a week unsubscribing from emails. I don't know why everyone feels like they need to be sending more emails. I understand there is a lot of revenue to be made from email, but I'm all about quality over quantity. Nobody wants to get an email from a brand or a business every single day. And we're getting bombarded now with text messages, phone calls, emails and we're gonna need AI just to be responding to the AI because it's just gonna get overwhelming. So what do you see coming through in the next year? What's next for human machine interaction? What's coming through in your radar?

Bryan: 21:54

Well, I think that there are two pieces this one you're going to see the integration of, of chatbots, which is just the current modernation of advanced ai. I mean, the algorithmic side of this is moving forward in many different directions, automating things in different ways. But the chatbots we are using are going to become much more integrated in, into many of our lives. I think we are going to see a bifurcation of society into three pieces. I think we are gonna see a segment of society over the next year that is gonna embrace the power of large language models and chat bots and be accelerating innovation forward even faster. You're gonna see a few individuals who are using these tools, moderately successful, but not invested deep enough to really thinking about how do they help really support and accelerate human capabilities. And then a few folks who are not using'em at all. I think we're gonna see a whole new set of devices created a little further out. And whether this is a, a smartphone on steroids with a smaller screen, bigger screen, or devices without screens, things that are integrating automation and AI into our lives in new and unique ways and, you know, an explosion of new personal electronics that aren't even in the drawing board yet. Why? Because we can begin to do things instead of tying my life to a little keyboard and a little screen, I would be able to tie myself to a voice interface that's gonna do just really well. And I think that we will see a, a major stride of not necessarily a voice system being perfect at recognizing my voice. But good enough that we trust the AI to fill in the gaps in between and smooth it over. So it doesn't matter if it misses a word or two. And actually, you know, I, I dictate a sentence and it actually puts a better sentence on paper than I was able to even dictating. But reducing our dependency on, on tapping on screens is going to be something that I think is gonna be out there. And why? Because people are gonna get information moving around faster that way. And I think we're gonna see efforts to accelerate the input of information, which gonna make everything go around much faster.

Brooke: 23:48

I have been an early adapter to voice and have been sending voice notes over text messages for the last handful of years. I have already adapted to being able to work while I'm walking and be flushing out ideas and running outlines while I'm in the park. So that's been just really cool to see the progression. My next question is just what's next for you? What are you working on?

Bryan: 24:15

So, so the big one is I have a book that's out digitally. It will be out very shortly in print How to Make AI Useful for

Brooke: 24:23

Mm-hmm.

Bryan: 24:24

and society. It's really kind of moving the conversation from algorithms to really thinking about how the human and how we all connect to this system. You know, we're living through an age where it's really AI's electricity moment, we've, and invented a new form of power. Much like in 1919 when the electric ferry was, was the hype cycle of what could we do with electric? We are at that point with ai and the argument that we have, isn't what aI will change. It's what we're gonna, let it change. And the hope being that we really begin to use AI as an accelerant for human capability amplifying human skills, you know, much like, um, the electric card, the computer, and the smartphone. Helping us do what we do, just doing it better and as opposed to allowing it to automate too much away. If we really focus on the human element, we begin to mitigate some of the big picture issues we're really worried about. We're interested in augmenting and supporting our workforce versus replacing our workforce, you know, using the AI as a tool to upskill people as opposed to the AI as a tool to replace people. You know, big societal pieces there.

Brooke: 25:38

So in your experience, or maybe you can think of a case study, who do you feel like is doing it right so far?

Bryan: 25:46

So I'm gonna go back to where I spent, you know, best part of my career focus is automotive. Um, And I'm gonna use two different automotive brands as a case study here. GM Super Cruise. very much a it, you know, sold as a hands-free driving feature. Very much built around the human side though, while it is very impressive automation technology, eh, I really call it an automation system that the human is at the core feature of the driver. Support systems are there to support attentive driving. While the automation is there fairly seamlessly driving hundreds of thousands, if not millions of miles, with far fewer incidents than other technologies like autopilot. Um, Which, you know, Tesla system, which is much more technologically focused, kind of left the human completely out of the equation early on, integrating it a little more now but a technology first approach as opposed to a human centered approach. And we all have seen news media clips o of incidents on our nation's roads and globally occurring with autopilot because that technology first doesn't account for, hey, humans are gonna fail. Humans need to be supported. If we're going to take responsibility away from the human and path planning and control decisions, we need to augment the human's responsibility and take responsibility to design that. Um, So, you know, I think you have two fundamental philosophies there. Now, both still exist because the regulatory guardrails have allowed that. Even though we have we've growing data to say one approach is clearly a little better than another approach. But we lack the political will to make the changes that are needed to, to and then adapt. We will let the free market continue to run, but unfortunately we don't make sure that free market is forced to learn, know, what really meets societal needs reasonably. What's key is both of these will be wrong over the long haul. And then, we'll adapt even further to a new philosophy.

Brooke: 27:37

Hmm. Such a key point there, and as we continue to learn to adapt, what do you think is the biggest key takeaway that you would want listeners of this podcast to walk away with about the future of AI and having a human first approach?

Bryan: 27:54

Yeah. So look, skill erosion, skill atrophy is going to occur as we automate more. if AI does all your editing, you're not gonna be such a good editor anymore. There's no question about that. Um, We need to embrace that, that with automation with the advancements of AI in, in integration in our lives, our skills as humans are going to change. We need to accept that, that our kids may not learn the right, the same old fashioned way that we did, but we need to set a vision on what we want those skills to become. So how do we want them using these tools to accelerate forward? Where do we want them using them? What's appropriate, what's not? we can't put the barriers up to say that we need to, remain like we were 10 year, 20 or 30 years ago. That's not life. Life evolves. So we need to accept that automation is going to change how we live, move and work, but we need to set some visions on what we want that to be. And my book co-author Magnus Linda, this, uh, Swedish Futurologist really sets that we should set those barriers around helping us. And as soon as we begin to think about the value of AI and supporting and helping us, the value proposition goes through the roof.

Brooke: 29:04

Well, I can't imagine a better time for a book like that to come out. I'm so excited for its release soon. How can listeners connect and reach out and learn more about your book?

Bryan: 29:13

so two ways. First of all books available on Amazon. Second connect with me on LinkedIn. I'm posting new stories and highlights all the time. I think it's really important to really begin to step away and say, look, technology's gonna continue to evolve. That's great. I love it. But how that a technology integrates with me and, and in society and it augments and improves my life's really the important part. And Thank

Brooke: 29:36

Thank you so much, Brian. That was a very empowering closing statement and I like that point of view. I thank you so much for your time today. Really appreciate you sharing more all about the work that you do.

Bryan: 29:48

Brooke, thanks for having me on.

Brooke: 29:49

All right. Take care. Wow, I hope today's episode opened your mind to what's possible with AI. Do you have a cool use case on how you're using AI and want to share it? DM me. I'd love to hear more and feature you on my next podcast. Until next time, here's to working smarter, not harder. See you on the next episode of How I AI. Have you just started exploring AI and feel a bit overwhelmed? Don't worry, I've got you. Jump on a quick start audit call with me so you can walk away with a clear and personalized plan to move forward with more confidence and ease. Join my community of AI adopters like yourself. Plus, grab my free resources, including the AI Get Started Guide. Or try my How I AI companion GPT. It pulls insights from my guest interviews along with global reports, so you can stay ahead of the curve. Follow the link in the description below to get started.