Pivoting to WEB3

AI Lets You Do More with Less with Jason Padgett and Donna Mitchell

• Donna P. Mitchell • Episode 68

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Is AI a threat—or your biggest opportunity to grow?


In this eye-opening conversation, Donna Mitchell speak with Jason Padgett, human-AI collaboration coach and partner at Phoenix Solutions Group. From overcoming addiction to advising organizations on AI strategy, Jason’s story is a roadmap for entrepreneurs and business leaders navigating Web3, ethics, and exponential tech.

In this inspiring episode, AI strategist Jason Padgett shares how AI isn’t here to replace people—but to empower them. We dive into how human-centered AI, smart automation, and ethics-driven innovation are redefining business for nonprofits, startups, and SMBs. If you're navigating Web3, blockchain, or digital transformation, this is the clarity you’ve been looking for.

 What You’ll Learn in This Episode:
✅ How AI can augment human potential in small businesses and nonprofits
✅ Why most companies fail with AI—and how to avoid it
✅ The role of smart tools in unlocking creativity, efficiency, and business impact
✅ Why data, trust, and culture matter more than ever in a Web3 world
✅ How Jason builds AI-driven systems that sound, think, and act like your brand

Visit [mitchelluniversalnetwork.com](https://mitchelluniversalnetwork.com) for more updates. 

#Blockchain #web3 #HumanCenteredAI #BusinessGrowth #DigitalTransformation #SmartContracts #NonprofitTech #StartupInnovation #leadership 

About Jason Padgett: 
Jason Padgett is a Senior Partner and Human-AI Collaboration Coach at Phoenix Solutions Group, where he guides organizations through digital transformation with a focus on human-centered innovation. Drawing from extensive experience in strategic planning and organizational change, he specializes in developing practical AI implementation strategies that enhance human capabilities rather than replace them. Through his work in AI literacy, workforce development, and ethical technology adoption, Jason helps organizations build confident, future-ready teams while ensuring technology serves human needs and values.

Connect with Jason Padgett:
LinkedIn: https://www.linkedin.com/in/jason-grant-padgett/

Connect with Donna Mitchell:

Podcast - https://www.PivotingToWeb3Podcast.com
Book an Event - https://www.DonnaPMitchell.com
Company - https://www.MitchellUniversalNetwork.com
LinkedIn: https://www.linkedin.com/in/donna-mitchell-a1700619
Instagram Professional: https://www.instagram.com/dpmitch11
Twitter/ X: https://www.twitter.com/dpmitch11
YouTube Channel - http://Web3GamePlan.com

What to learn more: Pivoting To Web3 | Top 100 Jargon Terms

Donna Mitchell [00:00:00]:
Welcome to pivoting the Web3 podcast. And today we have Jason Padgett and he's a senior partner and human AI collaboration coach. And that's what really attracted me to Jason because I want to know and people want to know is AI going to replace them? And it's not. It's going to enhance who you are. And he's going to talk a lot about that. But let me get back to where he's at now at Phoenix Solutions Group where he guides organizations through the digital transformation and puts some balance with the behavior the humans and human centered innovation. I'm not going to go on about this. I'm excited about having Jason.

Donna Mitchell [00:00:38]:
He's going to tell us how he really ended up getting into Phoenix Solutions Group and really looking at human centered approach when you implement AI into your organization. So Jason, say hello to our audience in yours and tell us a little bit about you and how you got into the AI, AI collaboration, AI centered human approach.

Jason Padgett [00:01:04]:
Well, thank you very much. I, you make me sound better than I think I could make myself sound. But, but you and I share a lot in common. We talked a little bit before the show about democratizing technology and, and access to technology and so I guess I'll try to keep it short but, but I'll share more of my story than I normally do. So I'm a person in long term recovery from substance use disorder. And I went to Indiana University Health. I was hoping to get a degree in psychology back in the 90s and then go work for the FBI as a profiler long before Silence of the Lambs ever came out, when it was really just a research job and everyone knew that. But I, I.

Jason Padgett [00:01:42]:
Drugs and alcohol took me off that path and for a lot of years I was just kind of out there doing my thing, working in the restaurant industry, commercial fishing. Did a little stunt in the Marine Corps. Not that Marines drink a whole lot, but I was all right there and ended up in, in, in a rehab center back here in Indiana in 2006 and stayed in the restaurant industry for quite some time. And then 10 years ago I had kind of a bump in the road that really changed my life and set me on a path of working in behavioral health. At the time, the idea that there are multiple pathways to recovery, that not just the 12 step, which is a very, very impactful program, but that wasn't for everybody and that there were a lot of different ways to recover was becoming more, more acceptable. It had been acceptable on the east coast for a while, but you know The Midwest catches up slowly. And so I entered into, I got lucky and started working managing peer recovery coach programs, helping individuals who are in recovery go out and help people who needed recovery leverage resources. And that was kind of grant funded and ended up under an EMS agency.

Jason Padgett [00:02:57]:
And I first met my now partner in, in business and still my employer from, from that side, Nate Metz, who is excellent entrepreneur and just his, his whole idea of he wants to buck tradition bias and, and question new ways to work the system. And so I got in there and I felt like finally for once I was making an impact on, on life. I felt much better, but I always still had that like looming. I wish I would have got a college degree no matter how well I do. You know, I learned to do really well in digital marketing and change management and project management. And there was still kind of this little thing in my gut that was like, you know, but it sucks that you never got a degree because if you had an mba you could be making a whole lot more money and probably a lot more impact. And then I went to work for the salvation army for 18 months as a development director. And that was when Chad GPT launched.

Jason Padgett [00:03:54]:
And I remember, I remember getting on Chat GPT skeptically. And I've always been a huge fan. I know there's a million Simon Sinek fans out there. I'm a huge fan of Marcus Buckingham, who's a British guy who talks about how you should really work to your strengths and the things that you enjoy doing and then find somebody who offsets your weaknesses rather than wasting time trying to improve those weaknesses. And I have found that to be a very effective way to work. And my aha moment with ChatGPT was wait a minute, this computer program can pretty much offset any weakness that I have. And the more that I learned to use it, the more I realized that yes, if you have a subject matter domain expertise, you're going to be able to use large language models and multimodal language models and reasoning models better than somebody who doesn't. But at the same token, like I don't always have to have a whole team around me to take care of the things that I am weak at.

Jason Padgett [00:04:56]:
I can actually build those things or augment those things alongside. And that's where I see this whole magnification of humans with the collaboration with AI and I just was set on fire with that. I'm a bit of an obsessive. So I probably have studied AI, you know, since it's launched in that framework, at least a quarter of my day, every day since 2022. And again, I started to get a little bit disgruntled of the fact that the only place that I really see, at least here in the Midwest, people trying to adapt or adopt this technology is at the enterprise level, Big, big businesses. When the nonprofit space and small to medium sized business businesses and startups could really be leveraging this technology, I don't think AI is going to replace humans anytime in the near future at all. I do think that the landscape of work, I think that there will be jobs five years from now that are as foreign to you and I as podcasting would have been to Harriet Tubman. And so I think that if you're not starting to explore AI, someone who is may replace you someday.

Donna Mitchell [00:06:15]:
That's a really very interesting comment. So with that said, when you mentioned the enterprise level before we go into the non profits and the smaller brands and businesses, when you're at the enterprise level, what is it that you do in conversation with your client that helps get them ready for AI or how do you know they're ready for AI? Do you have a process or questionnaire or assessment or is it just conversation? How do you approach that so you know how to balance it out?

Jason Padgett [00:06:50]:
I honestly don't operate in the enterprise space. It's more the nonprofit small to medium sized business workforce development space that I operate in. Now I, I have noticed that a lot of, a lot of the statistics say that enterprise level AI projects are only effective or create a good ROI about 15% of the time. I can tell you that. My guess on that is because they were doing AI just to do AI, rather than identifying a process or procedure where AI could either magnify their impact or automate something that allowed humans to do something that was more impactful.

Donna Mitchell [00:07:33]:
Someone working with workforce development and AI literacy, what is it that you're seeing the common trends and how can we overcome what you've been able to view and start moving the needle forward?

Jason Padgett [00:07:48]:
I think just getting the conversation going and getting people into these tools. So I'll tell you about probably the most fun thing that I've done recently. I just got done teaching an eight session one month course for a retirement lifetime Learning association near Purdue University. So most of them were retired Purdue professors, or at least half of them were. They were more in the humanities side than the STEM side. So you know, had it been, had it been the STEM side, they would have been, they would have been over my head. But in the, it was in the humanities side and I assumed being most of them are baby boomers. I shouldn't have assumed this, but I assumed there was going to be a lot of, a lot of pushback and a lot of skepticism.

Jason Padgett [00:08:30]:
Right. What I really found was aside from they're all still afraid that every kid is going to cheat on their homework and use AI to write all the rest of their papers. Outside of that, they were really curious and, and really wanted to know, like, what, what's hype and what's not. And I think that's one thing that we fail to realize when we're in this space is what we hear going on all the time is not exactly what the public hears going on all the time, right? So like just, just for a small. For instance, when they launched GPT 4.0 and everybody was giblifying their, their images, making Studio Ghibli images of themselves because Sam Altman did that. And every podcast I listened to all the AI news, like that's all anyone could talk about. It was melting down open AI servers. The general public didn't know what, that, that was even happening.

Jason Padgett [00:09:22]:
In my experience, right, I would show people I would give a fine image and, and I don't usually play along with those, but it was kind of fun. And I, and I would show to somebody like, oh, that's really cool, like, what gave you that idea?

Donna Mitchell [00:09:33]:
And I'm like, yeah, I'm curious on what melting down what, what. I'm not sure if I understand exactly and if the audience understands exactly what that means.

Jason Padgett [00:09:41]:
So when they first released Chad GBT4 two weeks ago, three weeks ago, right? It has a new image generator in it. Dall? E is no longer. It has, it's now a native image generator, which is far better than Dall? E, which was the image generator that has been in Chat GPT since, since they first launched. And it makes all those spaceship looking images, right? You just know Dall? E made. Right?

Donna Mitchell [00:10:08]:
You just know it was made by. Yeah.

Jason Padgett [00:10:09]:
Yes, yes. Well, this new image generator is phenomenal. I mean, it can make infographics with as many words on it as you want. But one of the things that trended amongst techies on Twitter and in Silicon Valley and In the general AI community was taking an image of yourself and asking ChatGPT to recreate it in the design of Studio Ghibli, which is like the Pixar of Japan of anime. And the gentleman that runs, he's like in his 80s that runs Studio Ghibli Hates AI. So it was kind of a slap in the face to him. But so many people did that over a 24 to 72 hour period that it actually like melted some servers at OpenAI there were so. And they had just as many people sign up for chat GPT over that in a 24 hour period as they initially had in the first year that they had signed.

Donna Mitchell [00:11:02]:
Wow.

Jason Padgett [00:11:03]:
Yeah. So it was pretty crazy.

Donna Mitchell [00:11:06]:
Wow. Okay. Well, thank you for that explanation. So. Well, let me ask, let me ask you this. When you connect the gap between AI and human centered, that human centered balance, how do you go about doing that piece when you're talking to the nonprofits or smaller business? Can you paint a picture on how that takes place? So what are you doing differently at Phoenix Solutions Group versus what some other folks might be doing around data? Data. Data. You hear a lot about data.

Donna Mitchell [00:11:50]:
And when I met you and I, you know, looked at your background, I felt like you were doing some things differently that people need to be aware of. Can you give us some insight on that?

Jason Padgett [00:12:05]:
Certainly. I appreciate it because I'm not a numbers guy and you know, I love to write, I love marketing. I love. And so that was another thing that I loved about AI is it does make data and processing data accessible to someone who's not particularly numbers oriented. Right. So, but, but by that token, I think in order to get the general public or smaller businesses to leverage AI and to just really start to explore this, they have to have their own chat GPT moment. Right. They have to have their own wow, I can't believe the power of this technology moment.

Jason Padgett [00:12:42]:
So when I first started working with some of our recovery coaches and one of our peer recovery coaches has actually written a choose your own adventure like Dungeons and Dragons style book using AI that he animated, automated and put out. And it's all about like the eight dimensions of health. It's, it's, it's all this like self care mental health stuff that's probably going to reach a population that it would never have reached if you didn't have it in that format. And that he would never, he spent two thirds of his life in prison. Like he would never have had the tools or the resources to create something like that. Right. So I just sit down with a business or with an individual and say, what do you love to do first? Like, what are you really good at? Because I think what I first realized again, Nate, Matt's my boss, he's, he loves to paint. Right.

Jason Padgett [00:13:38]:
And when image generators first came out and it was the first thing I introduced him to, I was amazed at how much better images he could get out of an image generator than my non artistic hands could get and mine could get. So I quickly realized like, this amplifies what you're good at and you can, you can really, you can really show someone, well, if you like art, if you like to do this or that, like, let's just explore what some of these tools can do to amplify you and then help them start to wrap their mind around, okay, what, what don't you like doing? And I think that's when the conversation, once you identify some of the things that a company or an individual wants to stop doing, that's when the conversation becomes more interesting. Because in healthcare we're very process oriented. But in general a lot of businesses, including nonprofit space, in my experience, like you don't really have a flowchart map of what any job or process looks like in your job the way that you do in manufacturing or in many health care organizations, because it's so necessary to track data. So you have to then identify, okay, well what does that process actually look like now? What informs that? And that's where the data conversation starts to come in and make more sense to someone who's not data friendly. Like, if you were doing that, what would you need to know both inside and outside your business's system in order to effectively do that? Okay, then that's the data that we're going to need to have in order to automate this process. Now let's talk about the fact that shadow use is probably happening in most of these companies anyway. So I really like to start with, let's build a basic AI policy so that people can come out of the shadows and you're not putting your business at risk, but there have the green light to work with each other and start to learn and play with these tools together.

Donna Mitchell [00:15:51]:
So Jason, when you look at the non profits, we were talking about this a little bit before we started recording. When you look at the non profits and, and the smaller companies, but let's just talk about the non profits that's near and dear to my heart. What do you think it's going to take to get them to pay attention to AI and really start utilizing it more in their, in their process and their flow and, and just start using it more internally. What do you think it's really going to take? What should we do? What should I do?

Jason Padgett [00:16:23]:
I don't know. I think that all of what's going on in America right now around grant funding and whatnot may force them to. And that's not really how I wanted to see that happen, but. But I will tell you, it amazes me. So one of the things that I really have specialized at when I first wanted to start making some decent money off of off of AI, right Is creating like a custom chatbot that is completely trained on a company's voice, tone and style, whether it be a custom GPT or inside of a playground like Sim Theory where you can have call multiple models. But I can definitely build something that will produce newsletters, blogs, Facebook, Instagram, all of that that's trained on a company that sounds just like it and that needs very little adjustment. The one that I built for the community paramedicine company, like it could actually read the picture it would have. We.

Jason Padgett [00:17:17]:
I had a picture of one of our recovery coaches in front of a Narcan, the locks box that was outside of a recovery residence. And I was like write a blog post about this. And it knew from the training data, but it knew where that recovery residence was, what they do, what the Nalox box was that she worked for us, our phone number. I mean I can do all of that. And they hate that a human being is not doing it. And I'm like, I love marketing, right? But why if there's three people wearing five hats in a small nonprofit, it seems to me like the marketing one is not the most important one. Not the digital marketing one. Maybe the going out and actually talking to donors.

Jason Padgett [00:18:02]:
Now maybe you can spend a little more time in front of individual donors in a one on one conversation or group conversations instead of writing Facebook posts and newsletters, right? And then when you multiply like what Salesforce and some of those have started to explore, eventually just think about how powerful it would be. Eventually you will be able to tailor every newsletter you send out of a nonprofit to the client profile that's in that CRM. So if Donna loves our children's program at the Salvation army and Larry loves our church more, that's more what he loves the support of. And Jane loves what we do with families through Pathway of Hope. Like we can tailor that. Not we, but the an algorithm without anybody, without any effort can tailor the newsletters that go to them so that they see what's relevant to them. To me that is so much power as a development director. But I bring that up to non profits and I've had one, ironically that's underneath the Catholic Church.

Jason Padgett [00:19:07]:
You mentioned working with the Catholic Church. I had one who took me up on that. They were rural health care organization, housing or the Catholic Church and they Got some pushback from. It was a hospital group at the church, but they did take me up on it. So how do we get them to understand this? Somehow we have to normalize it, and somehow we have to make them realize that it's not about in being inauthentic. It's not about replacing people. It's about better using our time. It's about buying back some of our time for stuff that only humans can do that machines can't.

Donna Mitchell [00:19:49]:
So do you think it's really an issue about the morals and ethics that really concerns some of the nonprofits, that it's not human? Or do you feel it's more the technology and lack of understanding or because we've just come from a different generation and culture and there needs to be a mindset shift?

Jason Padgett [00:20:11]:
Yes, yes, and yes. Can I take it from an education perspective? That's where it frames easiest for me. If you look at K through 12 education, right. The current AI landscape for K12 education is a couple of things that they're using it for and a couple of things that they're really worried about, right? So the use cases translation tool is phenomenal. I spent my elementary school years in El Paso, Texas, where the classrooms were half Hispanic and half Caucasian, Right. And if we would have been able to have the teachers, if the kid could have had an earbud in and had a translation to their native language, that would have saved everybody a lot of time and trouble. Personalized tutors, chatbots again is being embraced. So if someone has a learning disability, I think there's the.

Jason Padgett [00:21:01]:
Is it the Khan Institute? I don't know. One of the institutes is starting to explore how to give a kid a custom chatbot that can help them learn from their. Their learning perspective, right. And then the fears are, well, they're going to use to cheat on everything and we can't. You know, they're. They're not going to learn. They're not going to know how to write anymore. They're not.

Jason Padgett [00:21:19]:
I mean, we still know how to do math and the calculator has been around for a long time, but I still think all of that is framing things completely wrong. I think that these tools are going to completely change the way that these kids do work and the way that I'll frame the way that I was framed. This is. Imagine when you and I, I don't think we're that much apart. An agent. When we were little kids, if. If we were at a Christmas party and they asked us what we wanted to be when we grew up and one of us said, a movie producer or a music producer, right? Most of the adults would have giggled and said, okay, you go do that. And then the mean uncle that drinks too much would have pulled us aside and told us how unrealistic that was.

Donna Mitchell [00:21:59]:
Right?

Jason Padgett [00:22:00]:
But it's not unrealistic anymore because with these tools, kids of very little means who truly learn how to use them within the next two years will be able to make feature length films, they will be able to produce music. I mean, we've already seen the democratization of things like podcasts and streaming shows that is going to be amplified into every industry going forward. And I think we need to be getting these tools in the hands of children and letting them show us what they can do rather than trying to fit these tools into outdated education system that was built for the days when most people worked in factories.

Donna Mitchell [00:22:45]:
That's an interesting way to look at that. It really is. It has a vision and a dream and everybody has a dream. And with a dream and AI you can accomplish the dream that I have been able to see. And that's a good way to really look at that. So thank you so much. When you're looking at the AI and ethics and governance and just everything that's happening, where does the responsibility really lie, do you think with the organization or how do we end up fleshing that out in regards to responsibilities and handling it in a responsible way?

Jason Padgett [00:23:30]:
That's a big question, right? I more and more have started to buy into the open source idea that millions of eyes on things and a lot of feedback has a lot better outcome long term in the future than a small number of people having all the control and say over these things. I will say that I do like seeing institutions like big universities exploring things like this because I feel like there's a lot less bias that comes out of a research center in a university than there is out of government or industry. Government and industry usually have some reason to bend or twist how something comes out to their, in their favor. Whereas pure researchers, I don't feel like do that. You know, I'm a, I love Dario Amade and I like Anthropic, which is the Claude producer. You know, they're very much about safe, safe AI use. But I also believe the issue right now is I really don't even think that we have any idea how advanced China is. And so this AI arms race I don't really think is a joke.

Jason Padgett [00:24:45]:
I think it could be detrimental whether or not we keep up with China in developing AI. So how do we do that safely and effectively? Wing and a prayer. Start supporting people who aren't just entertainers but actually have our best interests in mind. I think that's. It's a very difficult question, you know, I will say so. You asked me the macro when I was ready for the micro one. So when it comes to bias, like in HR software and things like that, using AI, I think the thing that we forget as humans is you can identify those biases in an algorithm or an AI or any kind of software based system and get rid of them in human beings. That's very difficult to do.

Jason Padgett [00:25:37]:
So I'm not that I'm not as afraid of bias in AI as long as we're all on the same page that we want to work those biases out. Because humans have bias and that's probably why AI has so much bias. It was trained on us. I think that the majority of the Internet being European and American and not having as much of a global representation is problematic when that's the only thing AI has really been trained on. It's just a huge question, doc. I'm sorry, I don't have a definite answer.

Donna Mitchell [00:26:10]:
No, like I was interested in your opinion and some insight. So when, when you're working with a company, a nonprofit or you see a prospect, what is it that you utilize in your assessment? Or how does a company, when they work with you or you, how does, how do you know a company is ready for AI? Maybe that's really the question again. What do you do when you have a prospect or someone calls you or contacts you? How do you, what are the top three or four or five things that the company or the solopreneur or the CEO founder, what do they need to have ready for the checklist to say, okay, you're ready for AI or you need AI?

Jason Padgett [00:26:50]:
I would say the first thing to do is identify your early adopters and your champions. Right. So that goes back to that whole shadow case. I know that there are people in every organization who are using AI unbeknownst to their bosses, if they're not supposed to be using it, and kind of willy nilly if nobody really is really paying attention to it. You're never, you, you know, from change management, you're never going to make big change without identifying some of your champions and then having top down support of that change. And those champions can really, can, can really get things rolling if you empower them to do so. And then, so at that point in time I would say like who's using in Your company that you know of. If I was talking to you and you were asking me first, I'd say what do you do with it? What's your experience been like? Like what, what interests you in this? Is it just headlines or is there something that you have that you have that you really want to do and it end up, if it's more along the machine learning or something outside of large language models and reasoning models and things like that, then I might refer them to somebody, to a tech company that knows more about that kind of thing than I do.

Jason Padgett [00:28:00]:
But if, if we're meshing and we see where this system could go, then I'm, then I'm going to say, okay, well who in your company is using it? And then my next question is always, do you have a policy? Because if you don't have a policy, that's not a good thing, right? If you're, if your policy is telling your employees, yeah, I don't care if you, if you use chat GPT to help you out, just don't put any IP or, or patient data in there or whatever. Well, not everyone in your company probably will understand that and they definitely might not follow that just because they heard you say it one time. It's not top on their mind. Right? So to protect yourself and help them have an understanding of what that expectations are, you need a simple policy. And I'll tell everybody something right now that I, I know lots of people love to charge to make those. The policy that we have at Phoenix Paramedic Solutions, which is about five pages long, I had Claude Wright. Then I sent it to someone who is at a high level at Purdue University in cyber security and AI and he changed, he added one paragraph to it. Other than that said this is perfect.

Jason Padgett [00:29:09]:
So you don't need McKinsey to come in and write an AI policy for your small business. You could probably have AI do that for you and start that conversation with your employees. And then it's a matter of let's bring some design thinking in here. What are we trying to solve? Who are we trying to solve it for? What does a win look like? I think you really have to. Those are the questions that I think don't get asked. I also have done some event design training. So the design process, I heard you mentioned Scrum, the seven step design process is awesome for anything that you really want to be successful. But it's also a very daunting process.

Jason Padgett [00:29:56]:
And a lot of times a company doesn't want to stop and take the time to go through a full process to see whether or not launching something is the right thing to do. I would say AI is pretty expensive so spend some time figuring out whether or not this is what you want to do or identify a low hanging fruit that you can use $20 chat GPT subscriptions to just tinker around with this stuff and see if it's going to work for you. But before you invest any money, make sure this is a good fit for your organization and make sure that you have at least enough people in your company who are willing to buy in and participate. And then make sure that you have top down, not, not just top down mandate but people respect, they watch what the C suite does more than they listen to what the C suite has to say. So your, your top leaders need to be in there too.

Donna Mitchell [00:30:53]:
That's very true. So do you ever tell a company that they're not ready for AI or you prefer not to work with them or when do you decide that it's not a good fit for you?

Jason Padgett [00:31:04]:
I would say and I'm fairly new to this so I would say I could, I have never told anyone that I, I have referred people to other, to other more technical. So if they need software, if they're ready to do AI and they're ready to do it at a fairly large scale, if they're ready to build, I think that a lot of these small to medium sized businesses going forward, right eventually what it's going to look like is they will, they will take the information from an open source model like a metal Llama or something like that, draw that down into a proprietary model that they actually have someone build out for their business that can then be within a security wall and then deploy that throughout their company. That's a little higher level than I have any capabilities around. So if the one company that I talked to that was really at that, at that level, I was like wait a minute, I have some people that let me connect you with because I don't, I'm not going to waste your time and pretend I'm something I'm not.

Donna Mitchell [00:32:00]:
Okay, so lastly, how can somebody reach out to you and work with you?

Jason Padgett [00:32:05]:
Well, I'm on LinkedIn so I love LinkedIn. I'm a huge fan of LinkedIn. Jason Padgett on LinkedIn or the email is fairly long but Jason @phoenix solutions.

Donna Mitchell [00:32:17]:
Group.Org Did I forget to ask you something that's really important that you want to share? Is there a project or something we need to know about that I didn't.

Jason Padgett [00:32:25]:
Hit on I mean, we have a, we have an in person workshop coming up, but it's in Lafayette, Indiana. So if, if there's anybody out there in the greater Lafayette area listening, starting April 18th next Friday, we're doing a 10 day AI for business intro course.

Donna Mitchell [00:32:42]:
Okay. Well, hopefully you will hear that, those of you in Indiana. And I'd like to thank Jason Padgett for being here on pivoting to Web3 podcast and we're shaping tomorrow together.