Tyler Moberg - Five Minutes a Day: Building an AI Habit That Transforms Your Work

Welcome, everyone, to the Conversations on Applied AI podcast. Today we're talking with Tyler Moberg. Tyler is the founder and owner of Amplified Impact Solutions, where he helps leaders and teams actually use AI in their everyday work. He's trained more than 10,000 professionals since 2024, from Fortune 500 companies to nonprofits, educators to engineers, hr to finance.

Prior to his own business, he was an instructional coach at Edina Public Schools and a training consultant at the Bob Pike Group. Tyler also sponsored and presented at our applied AI conference this past fall. I wanna personally thank him for giving back and supporting the applied AI community. Thank you, Tyler, so much for being on our podcast today. 

If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

• Applied AI
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Resources and Topics Mentioned in this Episode

1. The average AI prompt is only 7–9 words — based on a Google study, because people still treat AI like a search engine. Tyler argues a good prompt should be at least 21 words. He personally voice-dictates prompts that are "novel-length." (Hear the discussion)
2. An engineer saved 80 hours of work in 90 minutes — Tyler helped a city public works engineering department build a NotebookLM tool to cross-reference three large mandate documents, eliminating a massive manual comparison task. (Hear the story)
3. "The AI you use today is the worst AI you'll ever use" — a quote from Ethan Mollick cited during the episode, underscoring that resistance to AI now means falling further behind as the tools rapidly improve. (Hear the quote)
4. Plaud Note Pro device records in-person and cross-platform meetings — a physical external recording device that attaches to your phone, is HIPAA-compliant, auto-generates transcripts and executive summaries, and integrates into AI workflows for proposals, coaching notes, and more. (Hear about it)
5. NotebookLM can generate PowerPoint presentations — with a hidden "pencil" customization button before generating. The hack: export as PDF → import into Canva → use Magic Editor to make text editable. Tyler prefers this over Gamma for AI-generated decks. (Hear the tip)
6. Claude's "Skills" feature allows you to save reusable workflows — Tyler demonstrated teaching Claude to write proposals by providing examples and a template, saving it as a skill, then calling it up any time with a new transcript. This dramatically speeds up proposal generation. (Hear the workflow)

• Book: The AI-Driven Leader by Jeff Woods
• AI Mindsets course by Connor Grin
• Tools discussed: Claude, ChatGPT, NotebookLM, Gamma, Canva, Plaud, Perplexity, Grok

Transcript

[00:00:00] Tyler Moberg: The best advice that I could give would be to invite AI to your workflow five or 10 minutes a day, every single day. I don't think once a week's enough. I think every day treat it like play and treat it like an experiment and say, huh, I wonder if. I asked Claude or Chad, GPT to do this. Like I've been pleasantly surprised in what it can do in my own work.

[00:00:24] And that's been my experience in working with others. And when you look at the neuroscience behind that, right, there's a little dopamine hit. It feels kind of good. It's like, oh, which encourages behavior to do more of it. And I think that five or 10 minutes, one that adds up. Over time, but that will turn into a lot more than five or 10 minutes I think every day.

[00:00:42] I think people get really stuck on like, what's the use case? What is the thing that it's good at? And Con Grin, who did the AI Mindsets course, like they, people get stuck in the use case trap. My advice is there, there's an infinite amount of use case. It's, it's like, well what are you working on? What's on your to-do list your checklist right now.[00:01:00]

[00:01:00] Do that. 

[00:01:01] AI Speaker: Welcome to the Conversations on Applied AI podcast, where Justin Grammens and the team at Emerging Technologies North talk with experts in the fields of artificial intelligence and deep learning. In each episode, we cut through the hype and dive into how these technologies are being applied to real world problems today.

[00:01:20] We hope that you find this episode educational and applicable to your industry, and connect with us to learn more about our organization at Applied AI Dotn. Enjoy. 

[00:01:32] Justin Grammens: Welcome everyone to the Conversations on Applied AI podcast. Today we're talking with Tyler Moberg. Tyler is the founder and owner of Amplified Impact Solutions, where he helps leaders and teams actually use AI in their everyday work.

[00:01:45] He's trained more than 10,000 professionals since 2024 from Fortune 500 companies to nonprofits, educators to engineers, hr to finance. Prior to his own business, he was an instructional coach at Edina Public Schools and a training consultant at the Bob Pike Group. [00:02:00] Tyler also both sponsored and presented at our applied AI conference this past fall.

[00:02:04] So I wanna personally thank him for giving back and supporting the applied AI community. So thank you Tyler so much for being on our podcast today. 

[00:02:11] Tyler Moberg: Ah, thank you Justin. It was an honor to be able to sponsor it. I see the way you lead and I love your vision for applied AI of just like, let's bring people together, let's collaborate, let's learn.

[00:02:22] I just think that's an amazing opportunity for people to, to connect in. 

[00:02:27] Speaker 3: Yeah. Yeah. Awesome. And like I say, it takes a community and I just love bringing people together and seeing what happens and so, awesome that we had a chance to spend some time here, have you on the show and talk a little bit about your perspectives and your angles on how you're using AI and working with with folks.

[00:02:42] 'cause it's such a hot topic these days. But you know, I mentioned having your own business. Sounds like you've been doing this out on your own for the past couple of years or so, which is awesome. You've been training a lot of professionals, but how did you get to where you're at today? 

[00:02:53] Tyler Moberg: Yeah, I mean, it really doesn't make a lot of sense when you think about it, right?

[00:02:56] Where I started as a middle school science teacher, [00:03:00] I spent about 13 years just in the classroom teaching middle school science. Loved it. I never thought I'd be doing anything besides that, and then got an invitation to join our school leadership team and really reluctantly was like, I don't know if this is for me, got a taste for that and got mentored and realized that it's something that I really enjoyed.

[00:03:20] And then grew my, my confidence really honestly, to work with adults and had a friend of mine who worked for the Bob Pike Group, we kind of hit it off. We were talking all about what the Bob Pike Group does, and then he invited me to apply. They had an opening and I joined this Bob Pike group, a corporate.

[00:03:36] Training organization and spent a couple years traveling around the country consulting and training and working with organizations on one. One of my biggest passions, which is how do you deliver good training so that people actually learn, they walk outta the room, retaining, remembering, and being able to use what you teach.

[00:03:52] I love that work. And in that work I started to use ai, started to teach. A little bit how to use AI in that setting [00:04:00] and said, you know what? I love this. I kind of wanna do more with it. And I just dug in, just all in with learning and experimenting, and I said, I'm gonna start my own company called Amplified Impact, where I believe that AI has the ability to help us amplify our impact.

[00:04:14] That's really been my premise is like, how do everyday professionals. Think differently with AI at their fingertips in their day-to-day things that they do. Like it's not techy. I mean, that's the cool part, right? Justin is like, you don't have to be good at tech to be good at ai. It's just there are new skill sets and mindsets that we're kind of honing in on and developing.

[00:04:33] Speaker 3: Did you always have the entrepreneur bug? Sounds like. 

[00:04:36] Tyler Moberg: No, not at all. Actually. My brother always has, but not me. And never imagined in a million years that this is the path that I would be taking. I think I just kept saying yes to different things that came up and said, what do I have to lose? And then now it kind of morphed into this and I haven't looked back.

[00:04:52] You know, I started working with just teachers and and educators in this work. 'cause I'm like, okay, that's something I know really well. And then [00:05:00] people were like, oh, you know what? I have a spouse that does, they're in marketing or the, I have a, what about the leadership team? And then that's branched now into really almost, I've worked with pretty much every single industry on AI training.

[00:05:12] Speaker 3: That's the thing that's so cool about AI is it touches everyone no matter what industry, no matter whatever job role you're in. Just late last week, I was out at a city and Civil Engineering Society of Minnesota conference. And so, yeah, what do I know about civil engineering? There's not a whole lot that I know, but I can absolutely talk to them about how AI's gonna change what they do, right?

[00:05:31] And how the entire industry's gonna change. And that's everything from people that are managing civil engineering projects to people that are bidding on them, to people that are. Doing them everything across the board. So that's the thing that's so cool about this technology. Did you use AI to help you start your business in some ways?

[00:05:47] Oh yeah. 

[00:05:48] Tyler Moberg: Oh my gosh, yeah. And that's the cool part, right? Everything that I teach, I use, and then for me, it's like playtime, right? Like all these new updates have been coming out lately and I'm like, I'm using them myself for my [00:06:00] own business. But then that transfers into me being able to teach and help others use them as well.

[00:06:04] And yes, I'm a solopreneur, but I think I operate like I have. Five employees, right? Yes. Like I don't know how to draft contracts and proposals. I don't know how to market. And granted I'm not doing a lot of marketing, but all of the different angles in running a business, like I have that instant thought partnership where I can collaborate with AI to help with those things.

[00:06:26] Speaker 3: So most people that listen to this podcast, as you know, applied AI community is super broad, right? You've got everything from individual founders to executives, people that are investors. Engineers, what have you, when you go into these organizations, I guess maybe kind of walk me through sort of what is your story and what is your pitch and what would people that are listening to this podcast be interested in?

[00:06:47] Tyler Moberg: What I've experienced that I think's been interesting is that I've been to a lot of AI conferences and AI things, or getting trained from people who are really technically. Savvy and really know their [00:07:00] stuff. The challenge has been that I, when you get a subject matter expert like that, they don't have a background in teaching and training and how to engage people.

[00:07:08] Like I said, my big passion is how do you engage people so they learn and they walk away with something meaningful. And so what I've combined and sort of married is like this research based, neuroscience-based method. To delivering a good training where people are not passively sitting and getting, they're actively engaged.

[00:07:26] They're actually using the tools, they're walking with takeaways that they're gonna put on their desk and they're gonna actually implement. That's what I think is so different about the way that I train, and that's the feedback that I continue to get has been, wow, this was actually fun. This was actually helpful in my day-to-day work rather than.

[00:07:43] Maybe someone shared some really cool stuff that was very technical, but it wasn't practical, or it didn't hit them in a way that it was retained. 

[00:07:50] Speaker 3: Yeah. You know, it was interesting. I was at this civil engineering conference that I was talking about, and they actually had a, a keynote who talked about leadership, and then he had a little private, a smaller [00:08:00] session, let me say, for an hour.

[00:08:01] It was so cool because instead of actually having a bunch of slides and going through this is leadership, he like broke it down to like real use cases and he actually, yeah, very interactive with the people that were in the audience. He'd basically walk up to him and say, Hey Sue, and we all had name tags on, and then he would act it out.

[00:08:16] He actually acted out what a negative scenario would be, like, how you would say things, and then how you could flip it around and turn it the right way. So the idea of putting yourself like actually physically in the seat and experiencing it was really good. Tell me a little bit more about how you get them to collaborate and work together.

[00:08:35] Tyler Moberg: First, before I jump into that, I wanna say like that keynote that you experienced, I never thought I'd be one to be giving keynotes, but I've given quite a few over the last year. And what I've learned is that you can deliver keynotes and large group trainings like you would a workshop. And when I think about that, I think to myself like, okay, what are the objectives?

[00:08:48] What are they gonna walk away and know and be able to do? When I think of a crash course, like a keynote that I've given a lot of times is empowering professionals with ai, practical tools and techniques for exceptional [00:09:00] results. And in that session. People walk in the room and you can see where they're at.

[00:09:05] With ai, there's a huge, maybe you've experienced this, like you can, some people come in and you just know they're anti ai or some of those ones that are like passionate about it and they can't wait to ask you questions and talk to you about what they're, what they love, and then some people that are really experienced and some people that haven't opened up a chat yet.

[00:09:20] And so it's really big challenge to. Walk into any given room, recognizing not only the range of experience, but the range of emotion that this topic brings up. One of the big things that I think I break down is are the major misconceptions. About ai and there are a ton of misconceptions and I'm curious to hear some what, some of what you've experienced with those.

[00:09:41] But I mean, I already talked about one, and that is you don't need to be techie to be good at it. You just need to be a good communicator, right? Yeah. Like you said, am I talking about prompting? Yes. I do teach in my framework that I've developed about prompting, but that's just one part to it. And I don't even like the word prompt engineering, context.

[00:09:57] Engineering is the word I like. Really, it's about good [00:10:00] communicating. You meet someone who's super highly capable. It's like how can you effectively communicate what it is that you want? And if you can paint a vision, if you can paint a picture of here's what good looks like, or here's what I'm aiming for, you can get amazing results in just an average every day.

[00:10:15] One of the main. AI tools and platforms, right? So that's a huge misconception is you need to be good at tech. Another big one is using AI for only low level tasks, right? Like that's been a huge. Growth for me as I've evolved in the way that I use ai. Most people start in their emails, especially co-pilot.

[00:10:35] You get that little button and it's like, oh, let me help craft an, and I'm, I'm actually, the more I don't know about you, the more that I use ai, the more I'm like, I'm kind of anti-US AI to write emails or anti AI just to write. I feel like I still do use. To write, but I use it by like voice dictating my thoughts and brain dumping, and then keeping my voice and my ideas, but having them tightened, rearranged, and [00:11:00] streamlined and improved with ai.

[00:11:01] Right. That's, I know I'm drilling into one, just one little example of a misconception, but what's fun is being able to identify some of these big mistakes. That I've, that I share, and then having people be like, okay, yeah, I could see that. Oh, I am using it just to write emails, or I am only using it for low level tasks.

[00:11:19] Why wouldn't I invite it to some high level tasks, creative problem solving and brainstorming, and the high level stuff. And that's one part to it is let's just. Name them so we can move past them and not get stuck on these misconceptions. By the way, before I, I don't mean to interview you, but I'm always like, what's like a, a mistake or a misconception that you're finding out there?

[00:11:41] Speaker 3: It's evolving over time, but I think a lot of people are, um, just worried about job safety, right? So the people that I feel are the most pessimistic, and again, you mentioned about like body language just tells you a hundred percent. I can just tell people Yeah. The way, the expression on their face or the way that they're crossing their arms or whatever it is.

[00:11:58] Whenever I'm talking to somebody about [00:12:00] this. It gives away a lot, but a lot of people are either on the side of, yeah, this thing's gonna take my job. So I'm really worried about it and almost from the standpoint of I just wanna bury my head in the sand and don't really care about it. To the other people that are basically like, I don't need this tool.

[00:12:16] I tried it once. I do a very specific type of job that AI can't touch, and I'm like, really? There isn't something in there that you could basically use it for. So sometimes it's both sides opening people's eyes and they say that this is what Ethan Molik said, right? That the AI you use today is the worst AI you'll ever use, right?

[00:12:33] It's always gonna get better. And so, you know, oftentimes I'm talking to people who don't trust it or are a little bit worried about it, and it's convincing the room or whoever you're talking to, that there's still a human element to what you do. There's always gonna be that. So that's, that's kind of a misconception I guess.

[00:12:48] People sort of feel like the sky is falling sometimes. 

[00:12:51] Tyler Moberg: There is a way to use it authentically. There really is, and my experience has been the people who are the most against it have had the least experience with using it [00:13:00] and or using it in some of the right ways. 

[00:13:02] Speaker 3: So there, there's a long tail on this. I think about when the internet came out.

[00:13:06] And that people were like, what is this weird thing? And I mean, I started building websites in the mid nineties. And so at that time it was just, we were basically, we were making brochureware. We basically were going to companies that had paper ads and we were basically replicating that paper ad and putting it on the internet in a digital form.

[00:13:24] Right. How long it took. The adoption to basically happen was just a long time. You went through dial up and, and then people started using the internet for all these other things. I was out with somebody, I'm like, who would've ever thought in the mid nineties that I would actually pull out an app on my phone and start my car that was just so far out there?

[00:13:40] That isn't sort of the things that we were thinking about back then, and so. Bringing it fast forward to today. I feel like the way we're using AI right now is still those early days, right? We're having a draft emails for us, and the idea of having it be a thought partner. That's something that I think pretty much most people I talk to that haven't experienced it a lot, don't really use it [00:14:00] for that, right?

[00:14:00] I'm like, no, no, no. That is some of the almost awesomest things about large language models. You can put it in the context of. Whoever you want it to act, and then you can start bouncing ideas off of it, right? And so that kind of blows people's minds. So I guess what I'm saying is I feel like we're still in the, obviously the early days and there's so many use cases out there that I don't think anyone has thought of and they're gonna play out over the next couple years here.

[00:14:22] But it's gonna be a fun ride for sure. 

[00:14:25] Tyler Moberg: That language, thought partner. This book, Jeff Woods, the AI driven Leader, if anyone's looking for a good book on that, on ai. Have you read that one? 

[00:14:32] Speaker 3: Yeah, 

[00:14:32] Tyler Moberg: yeah. We're the thought leaders, AI's our thought partner, and I would add not our thought, replacer. And if you are using AI and you're not happy with the results, my comment to you would be like, did you tell it what good looked like?

[00:14:46] Were you clear about that? Did you craft a good prompt? And this is an old study. I'm sure it's gotten better, but. Most people treat it like a search engine still, I think at least people who are new. But you saw that Google study a little while back. [00:15:00] It was the average prompt is seven to nine words.

[00:15:02] People do it like, 'cause that's what a good Google search is. And it looks a lot like a Google search bar where an average good prompt is at least 21. There's a guy who I like, his name's Jeremy Utley and he's big on using AI for creativity and one of his strategies is doing a brain dump of 400 words.

[00:15:18] Truthfully, my prompting is 'cause I use the dictate my prompts. I never type my prompts. That's like one of my top strategies that I couldn't recommend enough. I'm sure you do that. Are you using Whisper Flow 

[00:15:29] Speaker 3: just in chat pt? I just, there's two ways to do it. I mean, one of course is just to do the voice mode, but even just on my keyboard, on my phone, I can just push the button and, and I, and I'm basically just dictating and so just build it all up and then, yep.

[00:15:41] So I don't even need any special tool. Most people don't even realize that most all keyboards than any phone. You just push the button and dictate to it. 

[00:15:48] Tyler Moberg: You know how chat BD does your year end report? I got, one of my awards was like my prompts were novels, like the longest prompter. Oh really like that?

[00:15:55] Because like I just like, here's all the context. Here's what I want. Just, there could be typos, [00:16:00] it could be scattered. It's ability to make sense of all that information and it's incredible. 

[00:16:05] Speaker 3: Yeah. Well, I love the misconception you're talking about. You don't need to be a techie because that's really what changed, I think in 2022 with.

[00:16:12] The, now these large language models got to a certain point where they all of a sudden can actually understand human language. And now we're writing software basically just by using the English language. Now we're generating pictures. Yeah. All that sort of stuff. So it really brought that bar, that barrier entry down to literally anybody.

[00:16:29] Tyler Moberg: Yeah. If you can put it to words, you can make code images, text sound, as long as you can describe it. You can turn natural language into. Anything. Yeah, that's it. I think that's, it's so incredible. 

[00:16:39] Speaker 3: Yeah. 

[00:16:40] Tyler Moberg: In that crash course session, a lot of times I'll teach a framework that I developed. I've done a ton of learning about ai.

[00:16:47] Like I'm super passionate, as you can tell, maybe about learning, but I've seen a bunch of helpful. Insights, content, information out there that's really scattered and yes, I've seen prompting frameworks. There are a ton of [00:17:00] different prompting frameworks out there. Really all of them can be just distilled down to like good communication.

[00:17:04] But what I did was I developed a framework called the crafting framework that really zones in on. The five skill sets and the four mindsets that I've distilled down is like, these are the most important things that I think people would wanna know about AI in order to use it effectively and in a human-centered way.

[00:17:24] This is a, what I teach, it's really the, the framework for how I think about AI on a personal note, but then how I teach it and what I teach it through, and the four mindsets in it. I think that it might be good to just get an overview of those are we want to craft communication with AI to get results that match our goals.

[00:17:40] That's really prompt engineering, prompt context, engineering, right? Good communication. That's the C-R-A-F-T. Part of the framework of those are like the stems for the, here are some things that you might wanna include. And then the other three mindsets are the parts that really make it human centered, and that is the eye of [00:18:00] the framework is we want to interact collaboratively with AI as a capable, yet imperfect thought partner.

[00:18:07] What that means to me is like my conversations, my chats with AI are almost never a one and done. They're an ongoing conversation where I'm doing so much of the driving and steering in it through collaboration, not like in an answering machine. The end of the framework is narrow creatively with human expertise.

[00:18:26] The session I did for applied AI was all about creativity and ai, and I'm actually very passionate about. Being creative with AI and it, and I've experienced that. It's way too easy to make way too much stuff with ai, and I've made that mistake a bunch myself of, Hey, here's like a 600 prompts for you, or, you know, all these resources, but who cares if it's not getting used right?

[00:18:50] Like the creativity comes into play when you're using your taste, judgment, and expertise to like. Craft it to shape it, to like, here's the [00:19:00] most useful part in being able to apply the thing that you make in a way that it actually makes an impact. And then the, the G is ground critically and responsibly the inputs and outputs.

[00:19:10] So like everything you put into ai, you're grounding it to say like, should I be putting this into the tool? Is, do I have permission to, and or it's the right tool to put in that information. And then the output is, am I double checking it for accuracy? Am I making sure that it's not biased so that it has represents what I want?

[00:19:28] Am I using it for good? This is my crash course. Like big picture of the framework. That kind of is how I operate out of my own thinking and then teaching about it. 

[00:19:37] Speaker 3: That's great. And I, I love the grounding aspect. Going back to some of the other misconceptions, right, is that, and you see it on both sides, but some people just don't trust anything at outputs and then others.

[00:19:47] Just totally trust whatever it outputs. Right. So, 

[00:19:50] Tyler Moberg: yeah, 

[00:19:51] Speaker 3: it's like not having that human in the loop. So I'm, I'm really glad to hear that you have that grounding. I guess fa phase, or would these be phases? 

[00:19:58] Tyler Moberg: I've identified these as four [00:20:00] mindsets. 

[00:20:00] Speaker 3: Mindsets 

[00:20:00] Tyler Moberg: is what I did, what I've called them. Yeah. And they all kind of stem outta that, uh, letters crafting.

[00:20:05] Speaker 3: Crafting. Awesome. For sure. What's a typical size of group that you, 

[00:20:09] Tyler Moberg: oh man. It's ranged ideal is a different question, right? It's ranged from 15 or 20 people. Or even as low as like an executive team of like eight to 10, right, to 1200 people in a giant auditorium. And so the group size impacts how responsive and customized you can be, but at least for this beginning part, what I've found is like there's so much.

[00:20:34] Groundwork to address that. Like large groups or whole teams, whole organizations have been really good. But then from there it's like, okay, we need to look at this through the lens of our marketing team and this specific group of people. Or you take these foundations and then you go and sit together and you workshop real challenges, or you build real.

[00:20:56] Agents or tools, right, that are gonna actually help with a constraint or some something that they're [00:21:00] working on. So that's kind of been the flow like that I've been working through. As I, uh, consult with organizations, 

[00:21:05] Speaker 3: I've seen very similar things where you take this horizontal approach, getting them up to speed on how the tool works, what are some best techniques and best practices.

[00:21:14] What are some quick hits they could probably do, but then you gotta start going deep on a specific workflow within an organization. Okay, marketing, this is how we use it. Sales, this is how we use it. With anything new, I think with people, they need to hear it in their own vocabulary. It needs to be words that they would use, and you start seeing the light bulbs go off.

[00:21:30] Tyler Moberg: That's actually the most fun part for me after everyone, because every everyone comes in with at least a foundation. Then you can hit the ground running. A couple of examples, like I was recently working with the city Public Works department, and there was a whole bunch of teams I worked. Rotated through, and one of them was the engineering department.

[00:21:49] They had three different giant documents that they were interacting with. One was like these old mandates, and then they had the new mandates and then they had their city stuff. And it was like a bear for [00:22:00] them to be able to like have to go and triangulate this content and information. And over the course of an hour and a half, we built this tool as a great tool notebook.

[00:22:09] Lm, it's such a, an amazing way to get more accurate. Comparisons of things because you know where the answers are coming from. It can cross reference and things. And the engineer was like, you know what? We just saved like. 80 hours right now in terms of like literally how this is what he had budgeted his time to be able to make these comparisons.

[00:22:27] And so that was really the example of one that was really fun. I'll give you one more example. Yeah. There was a, a relocating company and they, they have their agents that work with people that they're helping to relocate. And they spend all this time on the phone with their clients getting all this information.

[00:22:45] And then what they historically do is they need to go and type up a summary and send it off to the person and get all their stuff like summarized. That's an extremely great use case for ai, right? If you can take that raw transcript, that's all [00:23:00] data that you can work with and interact with, with a few key leaders there.

[00:23:03] We built, we built it in chat, GPT 'cause I like the directions that it writes in the, in the custom GPT. Builder, and then we just plop those into copilot in agent. But basically it in their voice will draft a summary with key ingredients so they can have consistency from team member to team member. But they were literally spending an hour and a half after every call doing this and now.

[00:23:26] Boom. And then they get to proof it and they get to make some adjustments. But it's like that's a systems change that you can easily do. And it's not that hard. That's the thing. It's not that hard. 

[00:23:35] Speaker 3: No, that's super fun. Right. I kind of call it their aha moment. And usually when I go into a group, I'm like, who here has had their aha moment where it's like, holy crap, I can't believe it.

[00:23:43] Just did that. And so it can be everything from time savings to quality, you know, of the output where people are just like their jaw hits the floor. And that's super fun when they're like, you just saved me 80 hours worth of work. That's amazing. Now I get a chance to do the other things that I like the other parts of my job.

[00:23:59] [00:24:00] Yep. As people are sort of getting into this space, you know, I always like to ask people, maybe I'm a kid coming outta college, or maybe I'm a teacher at ED in public schools. Right. But I'm interested in ai. Right. And I'm interested in, obviously one path is to take your course and get up to speed on these types of things.

[00:24:16] But in general, like once they get outta here, what do you advise that they do? 

[00:24:20] Tyler Moberg: Tell me if I'm wrong. Justin, do you ever feel, I feel overwhelmed sometimes with all the things, right? Oh my gosh. There's all these, there was some crazy updates in the last couple weeks. Yeah. Which I'm curious to take on. 

[00:24:29] Speaker 3: Well, every day there's something new.

[00:24:30] Yeah, 

[00:24:31] Tyler Moberg: there is, right? But like the challenge between feeling overwhelmed with everything out there. And the best advice that I could give would be to invite AI to your workflow five or 10 minutes a day, every single day. I don't think once a week's enough. I think every day treat it like play and treat it like an experiment and say, huh, I wonder if I asked Claude or Chad, GPT to do this.[00:25:00]

[00:25:00] For the most part, I've been pleasantly surprised in what it can do in my own work, and that's been my experience in working with others. And when you look at the neuroscience behind that, there's a little dopamine hit. It feels good. It's all which encourages behavior right to to do more of it. And I think that five or 10 minutes, one that adds up.

[00:25:19] Over time, but that will turn into a lot more than five or 10 minutes I think every day. I think people get really stuck on what's the use case? What is the thing that it's good at? And Conor Grin, who did the AI Mindsets course, they people get stuck in the use case trap. My advice is they're. There's an infinite amount of use cases.

[00:25:37] It's, it's like, well, what are you working on? What's on your to-do? List your checklist right now. Do that. That's a big piece of advice. I think complimenting to that would be the more that you share what you're doing with others, the more. You grow your own capacity, but you grow your team's capacity or your, your people in your community, right?

[00:25:58] Like that's the vision for applied [00:26:00] AI is let's come together and share. Because when you share it, it's really rewarding in a lot of ways. But also that's the best way to grow, right? The best way to learn is to teach and to get, give cultural change as well. I'll throw in another one, and that is you don't have to know all the tools.

[00:26:16] There are literally thousands. There's the big six that I've narrowed down, like these are the big six, right? It's Chad, GPT, Claude Gemini, copilot 365, grok and Perplexity. I use most of those 'cause they all have signature strengths, but like you don't need all six. If you learn one of those tools really well.

[00:26:39] The skills that you grow in that one tool, they're gonna transfer to all the way you interact with really any of 'em. I saw some thing out recently of the 2026 report in 2026 with how good all these tools are getting. It's really less about the benchmarks 'cause they're always gonna be passing each other up.

[00:26:55] It's not necessarily about the best tool, it's about the best use case. [00:27:00] Right? And identifying, like creating workflows within that tool. So pick one tool. I get to know it and explore it. Because grow to the other tools as well. 

[00:27:11] Speaker 3: Yeah, yeah, for sure. Connor had talked about it's a muscle that you need to just make sure that you continually exercise.

[00:27:17] Yeah. And he also talked about, you mentioned about people using it for a Google search. 'cause that's the thing, it looks like a box. And so people just go in there and they just, you know, ask the same question they would ask Google and it's like, this is totally different technology. So with regards to generative AI versus just.

[00:27:31] Searching. 

[00:27:33] Tyler Moberg: Was it his idea in there or was it in a different book? But like because it's a new mindset. 

[00:27:37] Speaker 3: Yes. 

[00:27:38] Tyler Moberg: Like people putting a little post-it note, maybe it was his on your computer or somewhere visible, like how might AI assist with this? Because you don't think about it. It's the way, why am I manually going through and replacing and editing this document in this way?

[00:27:51] Why? Why wouldn't I use ai? You just don't think to do it. So 

[00:27:54] Speaker 3: yeah, 

[00:27:55] Tyler Moberg: it's a new way of thinking. 

[00:27:56] Speaker 3: Yeah, for sure. No, I liked this course. I thought it was good. I'm glad you mentioned [00:28:00] it. And I'll be sure that I put some links to this stuff that we talked about here in the liner notes for the show. Speaking of which, I guess two things before you know, I have you give 'em your contact information, stuff like that.

[00:28:09] Is there anything else that I missed? Anything else you wanted to focus in on? That I maybe didn't touch on. 

[00:28:14] Tyler Moberg: There's so many other things to talk about. Let's think what would be interesting, like can we riff on the tools thing that I was sharing? Like what's your take on that and like I would like to share?

[00:28:24] My favorite tool right now by far is Claude. I've been using Claude for a long time. I've always boggled bumps between them, but now it's my number one by far go to. I love the way it writes. I love the way it creates documents. I'm using cowork. That's the thing is I'm not a coder. I've been resistant to getting into cloud code, but what you can do in Cowork is what you can do in code.

[00:28:46] And I've been having it do things for me within my desktop doing really a like multi-step workflows that regular Quad chat couldn't do before. I've been training it on all these skills and having it pull up and activate [00:29:00] these skills that I've been teaching. It has been super exciting for me. And so I'm curious your take on that.

[00:29:05] Speaker 3: That's where my head was going. Like, do we wanna talk about agents and just this idea that AI is gonna become. Beyond just little tasks, right? I think the breakthrough that more and more people are gonna start to see. Although I like to tell people, like you and I and others that have been in the field, like I feel like we're on second base and heading to third when we're talking about agents and agentic workflows and building work.

[00:29:25] All the stuff you're talking about on your desktop and the 99% of the population is what's a prompt. So you can't go too far into that, but that's where the industry is heading. That's the promise, right? We are going to be able to spawn a number of different things that literally will run for hours while we're asleep.

[00:29:43] It's gonna be doing a whole bunch of stuff and we're seeing some glimmers of that with a number of projects that are out there. There's a lot of open source ones out there as well where again, they spend together a number of different LLMs with tools, like you said, with various prompting skills. [00:30:00] Skills is another big word that Claude invented.

[00:30:02] And basically now all these skills are used by a ton of the other. Providers out there as well. So the angle on that is, is yes, anything you can do to have a workflow. The, the tool that I like to use, and I'm using a lot now is one called Gamma. It will create presentations for you and I think there's like presenter.ai and all these other ones, but I have no design background.

[00:30:21] Whenever I would create a presentations in PowerPoint. And PowerPoint had a designer, but they were all just bullet points and didn't really have any sort of look to it. And you could choose a theme or two, but, so anyways, I really enjoy Gamma. I've been using Gamma for, I don't know, probably a year now actually.

[00:30:37] It's been getting better and better. It's not perfect, but it can allow me to focus more on the content and then it can start creating beautiful images around it. Right? And some of it is AI generated, but it also, you can just pull 'em up just from online. Stock photos. Very easy. So. For me, I love giving the presentations and getting all the data and bringing it together, but actually making it look nice has [00:31:00] been my, that's been my Achilles heel, so this has worked out.

[00:31:03] Tyler Moberg: That's interesting that you say Gamma. I've jumped. In and outta Gamma, and I've done the paid, and it might've gotten better recently, but I haven't loved it because I don't know if it was the image generator that I was activating. I'm like, this looks so something. I couldn't get it to look how I wanted it and without too much editing.

[00:31:21] Speaker 3: Yeah. Yeah. I will say if you take it outta the box, it looks ai, like people can look at it and be, yeah. It's one of those signature things where you can look over all these presentations and be like, okay, gamma, right? 

[00:31:29] Tyler Moberg: Yeah. Yeah. You can customize and do all the things in there, but here's what. If you haven't done yet in notebook lm, there's the generate the PowerPoint button, which is mind-blowingly good now.

[00:31:40] And the hack for that is you gotta hit that little pencil button when you're gonna hit, make a presentation, and, and you can customize what that, that presentation is gonna look like. More. And I, compared to Gamma, have been very pleased with the PowerPoints it generates. The problem is you can't edit the text, so.

[00:31:57] Pro tip hack. If anyone out there wants to [00:32:00] know you, can you export it as a PDF? You can import that into Canva as a PowerPoint, and then you can hit the Magic Editor in Canva and lift the text. And edit the text if that workflow makes sense. So that's been, I've been having fun with that lately. Oh, that's 

[00:32:14] Speaker 3: cool.

[00:32:14] I have not done a side by side comparison. I will absolutely use. That as a trial for my next presentation that I'm working on. 

[00:32:21] Tyler Moberg: It might be kind of fun. Maybe we, maybe I'll do this and you can put it in the notes. I can take our podcast transcript, I could put it into Canva and it could create a slideshow of this conversation and it could be a detailed slide or a just kinda like one that would be a presenter to talk from as visuals and that support.

[00:32:37] It might be kind of a fun way to capture this in a multimodal way. So I'll send that over to you. You can put it in there. 

[00:32:43] Speaker 3: Cool. Cool. There's a couple tools out there that I have experimented around with that will take podcast audio and then snip out. We will basically create a ten second snippet of various stuff and it makes it super easy to share out.

[00:32:54] So yeah, please, I will definitely check that out. But yeah, this is what this all about. 

[00:32:58] Tyler Moberg: Yeah, 

[00:32:58] Speaker 3: just basically sharing, sharing tools. [00:33:00] It's impossible to stay on top of it all. For sure. 

[00:33:03] Tyler Moberg: It so is. All right, so this has been my new favorite tool. You can't see the video here, but it's called PPL with A-P-P-L-A-U-D.

[00:33:12] Have we talked about this already? 

[00:33:13] Speaker 3: We have, yeah. Yeah. Last time we talked was before Christmas and you were like, you should definitely check this out for the holidays. But yeah, why don't you inform the about it? 

[00:33:20] Tyler Moberg: Yeah. Plot is an external recording device. In every single meeting, there's AI notes, right?

[00:33:26] But they're all scattered, right? What if you're in an in-person meeting? What if you're in teams? What if you're in Google? What if you're in wherever the platform, you're having a meeting? For me, this external device that lives on the back of my phone, I just press a button and it grabs a transcript. It's super accurate.

[00:33:42] Every time I run a training or an AI coaching session, I just have this, and that's what I've been learning with data is like when I have the data. Part about plot that's really nice is it's HIPAA compliant, so it's a little more safe compared to some of these other tools out there 'cause you wanna be careful with your data.

[00:33:56] But now I can take that transcript, it'll auto generate. [00:34:00] Executive summaries and there's like thousands of templates on there. You can actually make your own templates. It'll make, but then now I can say, Hey, here's our call for our, my call exploratory call with a client. Let's draft a proposal. Okay, well, what did we talk about?

[00:34:12] All that goes into the context of the chat that I can basically do the thing that I was talking about in the meeting, right? So being able to leverage. The data, and in this case a transcript from a call or a, a training and do something with it has been game changing for me. It's sped up so much of my creating and or confidence to be able to do something with all the different spaces that I'm in 

[00:34:37] Speaker 3: now, whenever I go to a website, 'cause they must be tracking me with the cookies.

[00:34:40] I just, oh yeah. I, I, I see that thing. The other thing I was thinking about though. After you told me about that is like how close are we just to having that be an app on your phone? I'm surprised that Apple hasn't just done this or Google hasn't done this as well. 

[00:34:51] Tyler Moberg: I agree. 

[00:34:52] Speaker 3: But I love the use case. 'cause you're right, you and I are having this conversation here right now.

[00:34:55] We're, we are recording it obviously just for the podcast, but you can be on a million other calls. You can be [00:35:00] in person and it would be love. I would love to have a microphone in the background, basically picking it up. And then being able to do something with it. And one of the best use cases you talked about was, you touched on a little bit was like proposals, right?

[00:35:11] Right now I have a call with a prospect. They tell me about whatever they wanna build, technology, solution, whatever. We pop around a little bit and then I'd actually have to either take, and it's one thing to have a transcript, but it's another thing where I basically have a template that I send out to clients with regards to sort of how the project's gonna go.

[00:35:27] And I can take the transcript, give Chet the, the template. Load it up for me and then I can actually then like bounce ideas off of it. What else am I missing? What else should I add to this? 

[00:35:37] Tyler Moberg: Yeah, 

[00:35:38] Speaker 3: proposal, right? So these things would take me hours in the past and now I can do them in minutes. 

[00:35:43] Tyler Moberg: It's less of a bear.

[00:35:44] It's like, oh, I'll get to that next week. Now it's like before our call, I got off an exploratory call with the client. I took the transcript, I put it into Claude. Claude has a skill, and when I say I teach it a skill, everyone like it's if you're not building skills, you literally do a task and or you describe the skill or the thing that you want it to be able to [00:36:00] do.

[00:36:00] In this case, write proposals. Here's examples of how I write proposals. Here's my kind of a template that I follow. Okay, lock this in as a skill. Save it to my skills. It walks you through it. Now I say, draft a proposal, here's a transcript, here's the other things I wanna consider. It can already have kind of a set output that I'm aiming for and I hit the ground running.

[00:36:19] That's so fun for me. Isn't that fun? 

[00:36:21] Speaker 3: It is. 

[00:36:22] Tyler Moberg: Yeah, 

[00:36:22] Speaker 3: it is. It's a blast for sure. Well, yeah. So how, how do people reach out to you, Tyler? What's the best place to contact? 

[00:36:27] Tyler Moberg: Yeah, whether it be LinkedIn, um, my website is amplified Impact Solutions. Happy to shoot me an e an email Tyler at Amplified Impact Solutions.

[00:36:37] But yeah, if you're interested in getting training for your team or coaching and consulting on some projects that, it's so fun for me. I'd love to have a conversation. 

[00:36:46] Speaker 3: Awesome. Speaking of conversations, yeah, this was a fun conversation today. So yeah, I appreciate you taking the time and look forward to seeing you at Future applied AI conferences we have coming up and yeah, we'll, uh, let people know about all the great things [00:37:00] you're doing.

[00:37:01] Tyler Moberg: Same. I was honored to be on here. Justin, I wanna say this publicly, like I highly respect you the way that you lead. I just feel like you lead by example. You're not doing it for ulterior motives. You can just see the pure, from my perspective, like the purity of it and just bringing people together to learn.

[00:37:19] I admire it and I'm honored that you invited to have me on today to be able to have a conversation about this. So thank you. 

[00:37:24] Speaker 3: Thank you. Thank you again. Yeah, very kind 

[00:37:26] Tyler Moberg: words. 

[00:37:27] Speaker 3: I appreciate it. 

[00:37:29] AI Speaker: You've listened to another episode of the Conversations on Applied AI podcast. We hope you are eager to learn more about applying artificial intelligence and deep learning within your organization.

[00:37:41] You can visit us at applied AI Dotn to keep up to date on our events and connect with our amazing community. Please don't hesitate to reach out to Justin at Applied AI if you are interested in participating in a future episode. Thank you for [00:38:00] listening.