Eight Principles Voices
Conversations with those who make a difference.
Host Larry C Johnson invites humanitarian leaders and changemakers to share where they’ve been, where they’re going and what drives them forward.
When you meet them, you recognize their spark and vision immediately. There’s no mistaking the positive, lasting difference they’re making in the world—their world. These leaders—trailblazers all—know where they’re going. And they invite us along on the journey.
Each week, Larry Johnson, Founder of The Eight Principles, interviews leaders and change makers from across the globe. Podcasts are available here, distributed to our Eight Principles family, and on iTunes, Spotify, Amazon Music and YouTube. If there's a particular person you'd like us to interview, let us know. Email info@TheEightPrinciples.com.
Eight Principles Voices
AI for the Arts
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Erich Archer is an Emmy-winning producer with twenty years in film and television who now builds AI-native films and custom AI tools through his studio, CGA Creative.
Welcome to Eight Principles Voices. Conversations with those who are making a difference. I'm your host, Larry Johnson, founder of the Eight Principles. Now join me as I welcome this week's guest as they invite us to come along on their journey. Hello, everyone. It's Larry Johnson, your host for A Principles Voices. And I just love doing these things. And part of it, well, a big part of it are the people that I interview. And I have a very special guest today, Aaron Archer. Eric Archer, excuse me. And he's part of my study and emphasis on artificial intelligence, otherwise known as AI. And uh Eric is the CEO or founder of his own firm, CGA Creative. Am I correct there, Eric? No. And uh, but he's had involvement with AI, uh, both in the nonprofit and the for-profit community. And he has some interesting insights that we're gonna uh we're gonna explore during the interview. So I want to thank you, Eric, for taking your time to do this.
SPEAKER_00My pleasure. Thanks for having me.
SPEAKER_01So can you just describe to the visit to our guests um your first acquaintance with AI?
SPEAKER_00I got excited about AI when ChatGPT and Midjourney came out around the same time. Midjourney, the image model, uh really started to blow my mind. And I, you know, I started to play with it and start to make some really cinematic looking imagery. And I was really just kind of blown away when could be I could just see a lot of the implications at that point because I could make a cinematic still image. And Chat GPT on the other side was processing so much text and language and stuff. And and that's another part of, you know, they're both elements that I work with all day, you know. Um, and so just these new entrants into the ecosystem were both applicable to me. You know, at the time I was the executive director of a nonprofit full-time. And so I was really interested in Chat GPT with my nonprofit hat on because it was a resource game. And we were resource-starved. And so to me, this was like, oh, this can help me with operations and grant writing and report writing and all these things and automating operations. So that was interesting. And then um, you know, I my business is is television production. I've been in television production for over 20 years in New York and LA and and the nonprofit side uh in Boston where I'm from. And so, you know, if I can generate visual assets uh of any kind, that's of interest to me because I use all kinds of digital assets for a living. So I think the the fact that both of those things applied to me in my work uh were really what what set me off early.
SPEAKER_01Can you uh can you explain to me the the newbie here, the distinction between predictive and generative AI?
SPEAKER_00Oof. Uh predictive and generative. You know, we'd be out of my lane pretty quickly.
SPEAKER_01Well, here's what we what I've been told. Predictive is where I think a lot of fundraising applications have been, and that is to identify prospective donors of one stripe or the other and to predict how they're going to respond. And generative would be more what you've been doing, where you're generating um a response or an item or something you're going to use. Um, and then there's the last one that you don't see hardly any of in the nonprofit world, and that is what's known as the expert, where you have a body of knowledge that's being used in one way or the other. Um, so but anyway, but so tell me about when you were in your in a in the nonprofit community, uh when you were CEO of a nonprofit, can you give me a couple of specific examples how you used AI to your benefit?
SPEAKER_00Yeah, I mean, there were simple things like uh the first chat bot I made just answered questions for the staff. You know, there's a million questions that that were the answers come from documents we have. You know, it could be the handbook, it could be our brand guidelines, it could be a manual of a piece of equipment. Uh, but those questions can be answered from documents. And so it was like, let's just stuff all of our documents into uh a custom GPT.
SPEAKER_01Yeah, well, that's that's sort of a version of expert, is what that is. Um, so did you just simply load that into Chat GPT and then you could query it when you needed answers? Is that what you did that?
SPEAKER_00Yeah, exactly. And they give you the ability to kind of wrap it in what's called a custom GPT so that you can use it and share it. It's not just a conversation that you got to find again. You actually have a little chatbot. Okay. And so, you know, that was a that was an easy one. And then um there, you know, I had to write a monthly report to my board about uh our our wins and losses and operations and things throughout the month. It followed a template, but the information changed every month. But I had years of examples of ones I had written so I could easily say, look, this is how I write these things. Here's 10 of them. Yeah uh and I'm gonna give you the monthly information, but in a lazier way, and I need you to just kind of write it the way that I would write it in the format that I need it, and it can do that pretty easily if you've got all these examples of success, which I had. Um, I was also trying to uh pitch uh I've I've always pitched uh um networks on TV shows. Ever since my uh commercial television days in New York and LA, I've I've done that. And so I was doing a lot of um, well, that you know, we're getting out of the nonprofit space. Forgive me, you were you were focused on nonprofits. So uh, you know, and then then there's the obvious stuff like grant writing, which is like, you know, you can research more grants that apply to you, and you can uh write applications faster. Of course, everyone can do that now. Um, but you can also make tools so that that becomes faster. Um, so all kinds of things like that. Okay.
SPEAKER_01Um see I wasn't aware of a lot of that, my acquaintance with AI, or at least um because I come from a fundraising background, is that um the these uh search, these um what I call asset income search machines, they do a lot of segmenting and and sorting and all that sort of thing. And and the tech providers make some pretty fantastic claims, things that I know they really cannot do with any kind of regularity because you know people are essentially irrational. Uh, there's only so much that you can predict uh from that. Uh so I get uh I think sometimes the tech providers um oversell their wares. Uh, because if I'm not mistaken, Eric, I would think that the um the nonprofit community overall is pretty naive about this. Would you agree with that?
SPEAKER_00Well, it's uh it's new to most communities, uh particularly those that weren't like super into technology. Um I did a lot of speaking in the nonprofit community about AI before I moved on to full-time AI. Um, and it's absolutely new to that community, both community television and the nonprofit space in general. Um but that's okay. I mean, there everyone's waking up to it, and there's a lot of um reason to to do that as a nonprofit. I mean, nonprofits are just they don't have a lot of resources, usually, right? So this is the this is technology that is uh a force multiplier. It's it's general purpose technology, and you can aim it at any number of challenges you might have. And as someone who ran a nonprofit for 13 years, it's just all you do is try to solve problems and wear a lot of hats. And so if something can help you with these things, great. You know.
SPEAKER_01Okay. What have you found? Um, and then that's good. I would agree with that 100%. Um, what are some of the misconceptions that uh uh and we don't have to keep it in the nonprofit world? What if you have a nonprofit example that people have about AI?
SPEAKER_00I mean, to me, it it breaks down for me immediately when people just boil it down to the term AI. I mean, when people say they're anti-AI, I say, well, which part? You know, I mean, it's a million different things. Uh so I think we need a lot more nuance to the conversation, you know, about what we're talking about uh and how we're using it and how it needs to be used. Um a lot of important conversations to have. And if we're going slow because we're we're um you know being reductive, that's not super helpful. So no, no, it's not.
SPEAKER_01Um well my personal experience with it um is uh not uh not terribly deep. It's it I use it primarily and I use the the chat GPT platform where uh my work is loaded into there, my previous writing and all my work, and as you suggested, it enables me to put documents together that I would normally write, but it does it in such a very rapid response, it makes it easier for me to produce things. Um it's not perfect, um, and and that you find the need to correct and move things around, what have you. But uh if when the body of work gets large enough, then it becomes a really powerful, flexible tool. That's the key. Um so uh what are some of the objections you've heard people say? I don't want to use AI. Anything specific?
SPEAKER_00Well, in my world, a lot of people are concerned with copyright, you know. Um there's uh just a lot of it's so easy now to steal uh visual elements, you know, and rip off the look of a TV show or a film or a painting. Uh and so we need all new frameworks for this to help us. Uh, you know, some of the old rules apply, but I think it needs a little bit of a fresh, a freshen up, you know, just like can you so for example, what I can do now, and this was a mistake I made early on, or at least I think it was, where uh what you can do now with AI is you can take an image that you get from anywhere. So I could take an image from a um Vanity Fair magazine cover, and I could drag it into this AI software, and now it can see this image. And now I can say, okay, I want to use this image as a visual reference for another image that I actually want. And in this case, it was the Game of Thrones cast out on a rocky outpost. Uh, and Annie Libovitz shot the cover. It was this really cool cover of all the Game of Thrones people. And I was making a video that kind of for whatever reason conjured up that image as a reference in my mind. It was a magazine I had seen, and I thought, oh, that's a reference I want to input. That's often what I do at the beginning of a creative piece, is I find my reference material. And now I can literally bring in the pixels, right? So I proceed to use that as a reference to make a bunch of different images of uh different people, but sort of based on that, right? And then I iterate and iterate and iterate, and then I turn that into video, and then I upscale it, and then I edit together with other videos and spit out something I call mine. Well, there's an original pixel, you know, there's a pic the pixels that started in this project from someone else. And so is it fair use to have it processed down to that degree, or is it copyright infringement? You know, things like that. I see. So that's a that's a relatively in the weeds one, but happens to be in my field fair amount. Just we have to know these things, you know. Can can you do that, or do you have to say, you know, because that's how we always have worked, right? We think about the references that we've got. You've got all those books behind you, you know, those are your references. If you were gonna write a book, there'd be pieces of those in there, maybe. That's how we we create. Um but we we have a new ability now, uh, and we have to be careful about that. We have to know whether or not we can use that. Our clients, if they're paying, certainly need to know if they can use that. You know what I mean?
SPEAKER_01Now, um, this you know, oftentimes in uh AI is seen as the boogeyman that's going to eliminate people's jobs. Um I I see it primarily as a powerful tool helping people with their job. Well, what's your take on that?
SPEAKER_00Oh, it's it's both. Uh, you know, I think there's already been a lot of layoffs because of it, and I don't think that we can't ignore that there just there will be. It's you know, coming from entertainment, voice actors, forget about it, graphic designers, forget about it. I mean, it's just it's just, you know, it's one thing after another, and those people are will lose their jobs just because it's so much more expensive to use people. Um, a lot of them will lose their jobs. But I mean, there is no question. I mean, as someone trying to start a business, I've got a business that's less than two months old here, and I'm trying to uh do all the things, you know, it's just me. I'm getting so much done because of this technology, you know, everything from setting up the legal stuff, the LLC and all of that, to like how do I send an email blast? To uh, you know, I need to research how to do sales because I come from nonprofit and I don't know how to do sales.
SPEAKER_01Well, actually, nonprofits should be very good at sales, but they're not.
SPEAKER_00Yeah, well, there's parts of it that are I'm just not used to. Uh it's very similar, of course, but you you know, it's just I get it. Yeah, it's it's uh I use AI everywhere.
SPEAKER_01It's the multiplying factor, I think multiplying. So then uh what I hear you saying is that's especially useful with small organizations with very limited uh live resources, and you can l leverage what you have into something far greater.
SPEAKER_00Um and I think it's a distinct advantage actually to be smaller now. I think that uh this sounds kind of bad, but every person involved now and every legacy technology involved in a business is drag. It's an extra decision. It's uh uh someone we someone's feelings we have to worry about. Things, you know, it's uh fears about AI or just complicated stuff, or we have to keep we've always used this database software, so we can't not use it, you know, like just all that stuff. You don't when you're smaller, you're making more of those decisions yourself. Um, you know, you're you're writ more maybe more risk tolerant. Um, you can kind of move faster and uh be more flexible. And I think uh I've just noticed that the sort of the bigger the company, the harder it seems to be to adopt this stuff in any meaningful way. Okay I'm flying as a per as a company of one. Um I think that's just because it's all just it's it's so much more is possible for an individual. You are yeah, you are the company, you are the person. Yeah, but you almost have like a genius uh you know co-founder who is good at all your the things you're bad at. You know, I can do the things I'm good at, I can make the commercials and I can be the idea guy, but I'm gonna forget that today is the quarterly tax deadline, and I'm gonna, you know, I'm gonna forget that I need to follow up in this this email cadence, and I'm gonna need a reminder tomorrow to like focus on the thing that makes money. And these are the things that it can do for me. Uh you know, and so it's it's just it's the only reason I felt comfortable even trying, you know, uh, is that I could lean on this technology to the degree that I do.
SPEAKER_01Now, do you ever use um ever use it as a um uh uh what do I say, as a thought partner or someone that aids you in in coming to decisions or exploring certain degree certain things that you didn't you weren't familiar with and how to become familiar with the movie? Do you use it in that way?
SPEAKER_00I would say that's the primary way that I use it. Uh literally morning, noon, and night, I use it as my strategic thought partner. You know, I always kind of wanted that perfect business partner, and I feel like it is that. Where at three in the morning or you know, uh on a Sunday afternoon, I can exchange I can engage with it at a really high level and uh move the things that matter to me forward. You know, it's just I got a lot to do. Um I have four little kids and a mortgage and I gotta move the ball, you know. Funny how that works, yeah.
SPEAKER_02Yeah.
SPEAKER_01You know, so um what are the what are the ages of your children? Three to twelve. That's a range. Yeah. And you're coming into those teenage years very soon. Next week. Next week. Happy birthday. Thank you. Um so so yeah, so you so it's it's that availability, uh, the spontaneity. Um, you have an idea. Um let me try this out for size. Um what about this and this and this, this, and and it'll come back and it'll give you direction or give you an assessment or give you more information as a case, maybe and guide you toward it. Does it this is something I want I want to make sure the audience understands. You're not letting this thing make decisions for you, you're letting it help you inform the decision, and that's different. Uh, I mean, there is this sort of thing I was told, I've not seen these things, Eric, but I was told there are at least two autonomous fundraisers out there that are all AI. That is creepy to me. Where you you would not be dealing with a real person, you're dealing with a totally imaginary, automated person who's simply responding to what you're telling them and you and they're doing fundraising. I mean, that to me, well, I think they had there's some ethical implications there, but beyond that, it's just uh it's creepy. Yeah, and because um the uh fundamentally uh fundraising is about people, it's not about money. I mean, money's involved, it's not really about the money. And if you look at the organizations that raise money consistently in a very productive way, they have made the donor the center of what they do. Um and there's no automated bot that can be that can have any kind of soul or direction in that regard. Um because you know, people are essentially what irrational. Uh they don't always follow the rules, so there's something else over here, over here. Um, but I I like that what you said about the strategic thought partner.
SPEAKER_00Yeah, like you know, just this morning I had an idea. Uh, I ran by it, and it basically had me shelve it for another day. It was basically like uh my look my little guy is getting into my old baseball cards, and I've got a lot of them. And my dad was just telling me about his stamp collection, and I was thinking about all these um older folks who have these physical collections, uh, and it they're all a pain in the ass to deal with. You know, they're like, what are you gonna do individually research each one and then put them each one on eBay or Facebook Marketplace? And uh it occurred to me that AI could do all that. Uh, and maybe there's a little side hustle there of like, hey, you know, I can really quickly value your stuff and sell it for you uh for a percentage. You know, what do you think of that idea? And it was like, well, um, you know, you've got uh all kinds of uh liability problems, and you know, it it just immediately surfaced everything I could encounter that would slow it down and be a problem, and you know, uh in-depth analysis over the over my morning coffee just for fun because I had a dream or an idea or whatever. But that's the same way that I would treat a serious idea. Um, you know, uh the the work that I do day to day, I treat it the exact same way. Like I'm coming to you with my best idea, and now I need you to level it up. I need you to be my sounding board, I need you to fill in the gaps. You know, um, it's very good at that. And if I'm in my domain, you know, video production, uh then I know very quickly if it's giving me good stuff. You know, um, I'm so I can move really fast. You know, I'm used to making decisions. I was running a company, so I can just be like, yes, I like this, let's go. Uh, and it's uh it's exciting. I think I think once people start to unlock how it will work for them that way, they'll uh they'll really start flying. Okay.
SPEAKER_01Well, I think that makes a lot of sense because you know what you thought was a great idea, you weren't aware of all the downsides. And oh, I didn't thought of this, oh, I hadn't thought of that. Oh my goodness. Well, maybe you ought to reconsider this right now. And um, and then also it can help you, as you said, develop nuance in response to things, things that you wouldn't have thought about. Well, there's this angle and that angle, another angle, and um, and you might want to call this person or call that person.
SPEAKER_00Uh or just a slight modification is where the money is, or you know, there's it it just has so much knowledge, you know, and it's just done effectively done everything you're trying to do a million times before and found the best practices you can ask it for.
SPEAKER_01Yeah, and and of course it all goes back to what is the knowledge base it's drawing from. Um the uh the LLM large language model, as they call it. So um, and you have one specifically developed for your particular expertise, correct?
SPEAKER_00Well, I was uh I was all Chad GPT for a couple of years in the last uh period of months. I've been all Claude. Um I I think uh it was the the coding aspect of Claude and the sort of ethical aspect of it that moved me over to Claude. And I'm I'm very happy with it now. It's uh it's great. Um, but you know, if we're talking about uh where you're getting your information, no matter where you're getting it, uh just just ask it for the sources, you know, and then go check them, you know, because you can do that, or you can just be specific and say, I only want a certain type of source. You know. Okay.
SPEAKER_01So then uh, like for instance, excuse me, like for instance, um in my when I use Chat GPT, because it's referencing only my material, it'll say, here's the source, here's where I pulled it from. And so you kind of know what what they're working with.
SPEAKER_00Okay.
SPEAKER_01Yeah.
unknownAll right.
SPEAKER_00Yeah, and and any search result, you can say where that comes from, and it'll provide the link for you. If it doesn't, it usually does it right in the in the thread. You can click on the whole button and see where it goes.
SPEAKER_01I've noticed that. Yeah, I've noticed that.
SPEAKER_00So a lot of funny stories of people who haven't done the uh the check and gotten themselves in trouble with a LLM hallucination, you know, the lawyer who led a case that wasn't real or you know, whatever.
SPEAKER_01And those are those are the ones we read about.
SPEAKER_00Yeah, yeah. You have to check it, you have to do the work. It's not an excuse to be lazy, you know what I mean? You gotta the same order of operations as usual. You gotta check everything before it ships, you know. You gotta know what you're talking about.
SPEAKER_01I want to go back and uh what you said. It's not an excuse to be lazy. It's not a way to circumvent the thought process, it's a way to enhance what you're doing, to add value to what you're doing, because you you're an expert in your field, and what you're doing is using that to provide you more horsepower, more firepower, and refine things faster. That's what you're telling me. Yeah, exactly. Okay, because um there are those. Um, and I guess those are the autonomous fundraising people. Excuse me, who think that um fundraising fundraising is oh, well, we'll think we have all the answers here. We'll just kind of spit it out there. No, it doesn't work that way.
SPEAKER_00No, I mean, you know, I think it's pretty clear humans are a pretty big part of that, you know. I mean, if they've discovered some automated way to fill my bank account, fantastic. But, you know, prove it. In the meantime, you know, I it's another thing. It's like, where's the nuance? You know, what can the technology really do for me in the fundraising space? Let's get serious. What can it really do today? Yeah. And what are the people the best at? And let's see if we can't get the best out of the technology and the people in a kind of a flow state type of a workflow, you know, because that's gonna be the best. You know, let people be good at the people part and the tech be good at the tech part uh in a complimentary way. You know, um, it it's it's absolutely essential, I think, that you have subject matter experts in the loop. People say human in the loop a lot. I think it's subject matter expert in the loop, where someone, you know, in like in my case with video, I can be the subject matter expert. But if we start talking about something else, forget about it. I should not be the one, you know, uh we start doing your work or someone else's. So um there's you know, still a need for experts and and uh and this stuff, you know, if you're trying to do more, if you're in the mood to work or you need to, this can help. It's like it's like it's like buying a truck or something. I mean, it's just uh it's a huge help.
SPEAKER_01Um see this is uh you're you're really pointing to um um a thought partner use of this uh of this technology when uh in my in my community uh fundraising uh the part that's really been focused on is um looking for patterns and data that will point you to a particular person for a particular thing. And the difficulty with that, I find number one, aside as I mentioned, you know, people are essentially uh erroneous, to get to the numbers that would be required to approximate something like that. Very few organizations have anything close to that number of people involved, you see. And it's and as you know, it's not a one-size-fits-all plug and play kind of thing, so that you have one sort of uniform vanilla constituency. No, you don't have that, you know, and you have to look at like to like, and they're just not enough people there to create those patterns, even though they'll tell you that and they like to sell stuff. Uh they like to sell stuff, and that's that's always been my uh my beef about it. And I've been getting to see the the expert use of it, um, the thought partner piece of it, uh, developing well, for instance, in you know, developing strategies for working with the donor. Have you thought of this? Have you thought of that? You know, and it's all based on and the true AI thought partner won't tell you do this, this, this, this, or this. It'll say, here's some things you want to consider. You might want to look at this. Would you like to see something a little more do uh uh detailed? It essentially is uh having you guide, you're guiding it is what you're doing. You're putting the input into it. It doesn't take the place of you one bit. No, no, it doesn't matter.
SPEAKER_00Yeah, and and you know, it it compounds, right? Because you can kind of codify parts of your business over time and teach it those little pieces in kind of a modular way, like your writing style or your visual brand style, or you know, just the details of your organization that you need every time you apply to an app uh a grant. Um and or if you make a little um, you know, it your model can start to learn, you know, you're a small little nonprofit in Minnesota, and like, you know, you do this one little thing. You can you can start to make your own tools, you can start to make your own uh automation workflows, and um and then you know, the next so you you know it takes a little time to train that that that little custom GPT to make the report, but then after that, you're spending, you know, it used to take something that took me a day to write a report like that, took me an hour. And then from then on. So um where am I going with all that? Uh I think it's really exciting technology for nonprofits because for the first time you can kind of start to imagine uh technology the way that you wish you had it. Like, you know, I wish I had something that would, you know, uh in my my nonprofit TV days, I wish it would take the transcriptions of the municipal meetings in my community and process them in the exact way that I want, filtering out everything else I don't want, and give it to me in like a daily dossier or something in in the way that I want. Uh, you can start to do those things. You know, every morning I want you to research these 10 sites and tell me what the updates are. And, you know, uh, I want you to uh scan for opportunities for um collaboration or speaking engagements or fundraising or whatever, like it, you know, and then you can go talk to these large language models and be like, I was thinking about doing this. What do you think? Like, let's make a great plan. Imagine we make the best plan ever based on what I'm trying to do here. Can you help me do that? You know, like and you'll walk away shortly after with a great plan you feel pretty confident in because you've, you know, like so general purpose, you know, just and and that's why uh you know it's so great for the individual because you can really think about like all the intersections of you as um like uh differentiating value, you know. Um you're in this certain area and you have this these certain values and um yeah, I don't know. It's just uh it's exciting stuff.
SPEAKER_01Okay. All right. So if I were a uh a new uh I were a uh a CEO of a nonprofit and a little nonprofit, and I wanted to dip my feet into the water and see how what I could do with this, um how would you recommend that I begin?
SPEAKER_00I would record a session with stakeholders talking about your challenges, your problems. You know, what are the things that you're challenged by? And what are the things that go into that challenge? What would go into a solution? You know, what would it what all what are all the things involved? Give me the full context of these challenges, you know, and record those. And these this would be this would be the uh the nonprofit exec, uh you know, I think yes, absolutely, executive team, board, uh people that work there, members, whatever, your stakeholder, you know, all right, however you want to do it, but um you know, you could do it yourself for starters and just uh take uh take a recording of it and speak it so that it's natural and you're not thinking about anything other than just getting it out. And you can just brain dump it. You don't have to think about you know it being clean or anything like that. And then toss that recording into your favorite large language model and just give it a little bit of context beforehand and just say, look, here's what I'm about to paste in here. What I'm about to paste in here is, you know, I'm Larry Johnson, I run this business, I've just recorded my most current list of pain points, and I want you to go through them and just tell me what you think. You can start there, you know what I mean? And give it that uh that you know, recording or transcribe the recording. You can do that a bunch of ways, or you could talk into Apple Notes or whatever. Um do it on a Zoom call. You get the Zoom, you know. I've got a note taker going right now. I record everything for that reason, and then just see what it gets back, you know, see what you get back from that, and follow the thread, have the conversation wherever you want to go, go, you know, and I guarantee you'll find value because it's exactly what you're dealing with, and it's going to find things that are helpful.
SPEAKER_01Okay. So um this chat GPT, uh, Claude, which I understand is more graphically directed. Is that true?
SPEAKER_00Claude has some graphics. I mean, they're pretty comparable, especially at the 101 level. I wouldn't even really worry about it. I would just uh pick your favorite, um, read the news a little bit about leadership and um where they're where they're headed. Um, and then yeah, I would say those are the two front runners. Perplexity is another great one, but um sort of slightly different. Um and uh Notebook LM is another cool product from Google that people should check out as a really handy general purpose tool. Okay. Um yeah, those are well, yeah. You can't go wrong really uh in terms of getting back really valuable stuff. Okay.
SPEAKER_01All right. So is there anything that we haven't covered that you'd like to be sure you get into the interview?
SPEAKER_00Uh well, I um I make my money now by trying to solve problems for for business uh folks, you know, but business owners or decision makers within the company that are uh interested in seeing if AI can solve any traditional problems. It's really kind of exciting the way that everything to this point was sort of pre-AI in terms of how work was done. And now this new technology is here. So there's just so much low-hanging fruit in terms of what can be solved with this technology. So if you think you might have a problem like that, I would love it. If you'd reach out, you can find me at my website, cgacreative.com. And uh, we would just do a sort of similar zoom like this, and I would try to put yours, your uh, your problems through my system, and then maybe turn around some tools or different solutions that might help you.
SPEAKER_01Well, I like this because you've you um uh you had experience in the nonprofit community, um, you know their particular foibles and the way they look at life, um, both good and bad, and that um you would bring that knowledge um with an understanding of what an AI tool could do for them, uh, and you're willing to help them implement it. Okay. Um so and then so it's C G A Charles George Adam Creative.com.
SPEAKER_00That's right. CGA are the initials of all four of my children. All right, okay. I like that.
SPEAKER_01I like that very, very much. I really do. I like that very much. Um, and then as I said, you you have a heart for the nonprofit. Now it's not free. I want to remind everyone that you know you we all have to eat in this world, unfortunately. And so uh, but uh it's good that you have both the experience and the heart for the work that you're doing. I thank you very much for that.
SPEAKER_00Um yeah, I look forward to working with a lot of nonprofits at nonprofits.
SPEAKER_01Okay, all right. Uh, you know, I want to thank my audience today for taking time to uh do a little dive into AI. We're gonna be doing more of this uh in the future very soon. And I think Eric brings a very specific and uh empathetic understanding of what it will do, and that it's not an excuse to be lazy, it's not an excuse just to just throw something out there, um, and it won't solve all your problems, but it's a helpful lever. It will produce a lot more energy, as we say in an engineering school, where the fulcrum is more of the leverage to get uh much done. So I want to thank you, Eric, for your time.
SPEAKER_00My pleasure. Thanks for having me.
SPEAKER_01Okay, thanks everyone. Uh next week, another thought provoker and entrepreneur. We'll talk. Thank you for listening today. Join us for our next episode when I'll have another thought provoking leader as my guest. Guest comments and opinions are their own. The recording is copyright by the eight principles, all rights reserved.
