Everyday AI Podcast – An AI and ChatGPT Podcast - EP 169: D-ID Agents - The next era of customer experience?

Episode Date: December 20, 2023

What does the future of customer experience look like with GenAI? We're taking a look at existing and new technology that'll change the way we interact with brands, products, and services. Ron Friedman, Head of Content and Creative Marketing at D-ID, joins us to discuss the next era of customer experience using AI agents.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Ron questions on AI and customer experienceUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:[00:01:15] Daily AI news[00:03:30] About Ron and D-ID[00:08:15] Business use cases for D-ID[00:10:45] What's an AI agent?[00:15:30] Are AI avatars the future?[00:19:50] Ethical concerns around AI agents[00:23:45] Creative business use cases[00:29:25] Using AI agents for learning[00:33:40] AI agents as a work replacement?[00:36:10] Ron's final thoughtsTopics Covered in This Episode:1. D-ID's involvement in generative AI and avatar technology2. Business use cases for AI agents 3. Ethical implications of AI agents in human interaction4. The Future of AI AvatarsKeywords:AI news, Biden administration, AI policy, racial wealth gap, UK court ruling, D-ID, generative AI, avatar technology, natural language processing, digital humans, avatars, AI watermarks, ethical implications, deepfake videos, AI agents, Abuela AI, business use cases, 24/7 availability, personalized video emails, education, cost savings, video production, conversational interactions, influencers, content creators, sales representatives, real-time video interactions, smart AI bots, graphical user interfaceSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live and Adobe Firefly, the all-in-one creative AI studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. What does the future of customer experience look like, especially with generative AI?

I think it's going to change a lot. And yeah, sometimes I go on the show and I talk about my thoughts and my feelings. But today we're going to be talking about not just new technology, but even some technology that's getting announced today that I think is going to greatly shape the future of how we interact with brands, products, and services that we love. So we're going to talk about that today and more on everyday AI. This is your daily live stream podcast and free daily newsletter, helping everyday people like you and me, not just learn what's going on in the world

of generative AI, but how we can all actually leverage it to grow our companies and to grow our careers. And we're going to have some very practical and actionable use cases of that today. I'm very excited to have the head of content and creative marketing for D.I.D. I'd say one of the most creative and unique players in the generative AI space. But before we get to that, let's start as we always do with going over what's happening in the world of AI news. So the Biden administration is one step closer toward writing guidelines for AI policy. So the National Institute of Standards and Technology, the NIST, announced yesterday that it is seeking input from AI companies and the public on generative AI risk management in reducing AI generated misinformation.

So Biden's October executive order on AI prompted this effort to develop industry standards and enable America to continue leading and responsible development and use of artificial intelligence. Also, the use of external red teaming, which involves simulating potential risks via red teams, is being explored as a tool for identifying novel AI risks. Next, a new study is showing AI could add billions of dollars to the racial wealth gap in the U.S. So a new report from McKinsey showed that generative AI could add up to $43 billion annually to the racial wealth gap and automate half of jobs that don't require a four-year degree. This also showed that obviously black workers are at a higher risk of job loss and face systematic biases in accessing housing, credit, and jobs due to AI. So make sure to check out the daily newsletter for reading more on that story. Also, last but not least, AI cannot be named an inventor, and that's according to a new ruling from a UK court. This decision reflects an ongoing debate around the rights and protections of machines as AI continues to advance in various fields.

The court reaffirms that only natural persons can be considered inventors under the UK Patents Act of 1977. So the AI expert that's kind of at the heart of this case, we've talked about him on the show before, Stephen Thaler has made similar arguments in other countries with some successes in South Africa and Australia, but in this case, and he has been rejected and also by the U.S. Supreme Court. So we always have way more going on in the world of AI news. So make sure if you haven't already, go to your everyday AI.com and sign up for that free daily newsletter. But you're probably tuning in today to hear about the next era of customer. experience. So I'm extremely excited to bring someone on that's really helping build that and shape that in the industry today. So please, without further ado, help me. Welcome to the show, Ron Friedman,

the head of content and creative marketing at DID. Ron, thank you so much for joining the show. Pleasure to be here, Jordan. Thanks for having me on. And let me just assure you and the viewers, I'm an actual person, not an avatar, although we be speaking a lot about avatars, I guess, during this conversation. That's a great point, Ron, because, you know, in theory, we probably could have done this avatar to avatar, right? And maybe that's the future. But before we even dive into that, maybe just give everyone, for those that aren't familiar,

can you just tell us a little bit about DID what the product is, what it does? And for those of you joining the live stream, I'm going to be thrown up some different things from their website. But if you're listening on the podcast, don't worry, you can always come back and look at the show notes and watch. But Ron, maybe just walk us a little bit through what DID is and what it does. My pleasure. Yeah.

So DID is a tech company. We've been in Generative AI since 2017. Before the term, generated AI was even a thing. You know, kind of just that in itself. You know, I remember it was about probably a year and a half ago. You know, the concept was out, right? Mid-Journey had just come out and the stable diffusion and Chad Chiquete was around the corner. And it was like, what are we?

we calling this technology synthetic media digital media and then i remember the the headline the new iric times uh called it generative ai's coming out party and it was that was it you know once uh the the gray lady as uh the new y times is known kind of gave it gave the industry a name um that's it we became a generative AI company uh but in truth um that's something we've been doing uh since 2017 what we do okay those of you who are watching you can see on the screen we've got images of people and what our technology really does is take those images and through text to speech turns them into videos of talking avatars again those who are viewing the site you can see there's there's several ways that we do it there's several types of avatars I'm guessing people who are

you know, following the AI space and familiar, have come across these. You've seen them in kind of mashup videos, popular culture. We've seen them definitely in learning and development areas. But now we're seeing it more and more in business use cases and particularly customer experience, which we're gonna be talking about today.

The studio was launched just over a year ago. And basically what we, allow or what we enable is anybody who wants go to studio dot dd.com sign in it's a free trial you can test out the the platform and you can create your own avatar or choose one of the existing ones decide what you want it to say and you know within a minute you've got a video of that digital person speaking the text you want you know some exciting exciting aspects of it is that you know these avatars can speak any languages We have 120 different languages in the studio you can choose from.

So you enter a text in Spanish, the avatar will speak Spanish. You enter in text in Arabic, the avatar will speak Arabic, etc. A wide variety of appearances, right? So there's an existing bank of avatars where it's characters of every age, race, skin color, nationality. But what's even cooler is that you can, create your own avatar based on a single image. So in addition to the existing bank, which is very rich, you can upload an image, you can be of yourself, it can be of a friend of yours, it can be an image you created in an image generator. As long as the software can recognize

a human face, we can take that and make it speak. Sorry, we get this, often we can't do animals. unless they're very human-looking animals, the algorithm just doesn't recognize the face patterns and we can't get them to talk. Yeah. You know, Ron, maybe as we get a little bit more into DID and agents, I do want to talk a little bit about because I'm sure people have this question on like,

okay, this sounds like a fun technology, really cool. But, I mean, there's actual, like, business use cases for using this technology. Can you talk a little bit of, and just even just about the technology at large, right? Because obviously you have different products, different offerings at EID. But what are some actual business use cases for technology like this?

Right. So at its very core, it's taking an image and making it speak. I think the main pain point that we're trying to solve is production, right? You're in media. I remember you're saying that you used to be in journalism. Same here. We know what it costs to set up a production, right? You need camera crew, lighting, sound, design, makeup, talent, people to deliver the message.

You know, if you're creating an online course or a marketing presentation or a product walkthrough, all these business needs for video. So we make that very easy to produce, again, within minutes and in multiple languages, so it can suit any audience. So, you know, that's one. It's just cutting costs, the ability to animate any image, kind of adds to that because suddenly you don't need a human to do. You can have an alien deliver the presentation.

You can have a robot deliver the presentation. Again, as long as the software can recognize the face. We can make it speak. So a lot of cost savings there and a lot of flexibility, right? You can within minutes translate your presentation from English to Japanese if you have clients there. You can change the setting. You can embed these videos in any video content that you want. And that's just the video part before we've even started talking about the interactive part

where agents come in. Yeah. And maybe let's start to talk about this. And hey, as a reminder for those of you joining us live, what do you want to know from, from Ron and just about the future of how we use, you know,

generative AI avatars in business? This is a great opportunity to get those questions answered. But Ron, maybe just talk us a little bit through about what an AI agent is, especially how you're creating them at DID because I think there's obviously differences and, you know, even when you talk about AI agents, it can mean many different things.

So in this use case with DIT, what is an agent? All right. So I'm sure your audience is familiar with GPs, custom GPs. So it's very similar to that. Basically, when you go to the studio, you create an agent, you choose the appearance. And again, you can either choose from the existing ones or upload an image of your own. You choose a name for it. You give it a selective voice.

You've got many, many voices, natural sounding voices, synthetic voices. You can go through for hours just listening, all right, that's exactly the one I want. But that's where it gets interesting. So you created the avatar that's going to you're going to speak to. But now it's the time where you want to start educating, so to speak. So there's a process of prompting. you tell the avatar how it should function. So, for example, if I want a technical support agent,

then I'll tell it. You are a technical support agent for Acme company or any company you like. This is the product that you're an expert on. This is the way you should answer. You should be friendly. You should be outgoing. You should be pleasant and cheerful. You should be inquisitive.

Kind of describe what it should talk about, what it shouldn't talk about. If you don't know the answer, what you should do. A pretty basic short prompt. And then the next stage is you want to start feeding it knowledge. And that's where the similarities to GPTs come in, because you can upload PDF documents. You can upload text.

You can upload PowerPoint presentations. We're still in beta mode, but soon you'll also be able to include a URL. And that provides the knowledge base that your agent is going to respond on. on it's a you know very quick and easy four or five minute process click generate and and and that's it you've got an agent it is an expert on the knowledge base that you've given and behaves as you're requested or two and that's it you're off to the race you can start chatting with it now we all know

what it's like to chat with chat GPT or other large language models here the the the difference is you're actually having a conversation with another digital person right so You speak to it as I'm speaking to you. And then it answers you also in its voice and with the face moving, kind of resembling as much as possible today, a face-to-face conversation with a different moment. Yeah.

Technology is wild, y'all. I'm so excited to be able to experience this a little more. Already a great question from Mauricio coming in. So asking, can people use this DID agent to act? as an example, as an influencer or content creator to take over an Instagram account, or maybe even just saying, like, can people use this to create kind of an avatar for their brand that can, yeah, act for them on social media? Absolutely.

Jordan, I urge you. Take all the transcripts from your last 170 shows, feed them into DID agents, upload an image of yourself. You can also, obviously, clone voice. and, you know, prompted to answer as Jordan Wilson with your knowledge base. And I'm not saying it's going to be a replacement. You're one of a kind. But you can put that up on your website and have your users ask you questions, engage with you.

And again, the better the quality of the prompt is and the better the knowledge base that you're giving it, the more it's going to resemble an actual person. So influencers, we're talking about. service providers, can be a digital sales representative, it can be an insurance agent, it can be a fashion advisor. Again, the sky is the limit. It's up to your imagination, what you feed into it in terms of the knowledge base and how you want it to behave.

You know, really the sky is the limit. And, you know, it opens up a lot of exciting opportunities. You know, Ron, I'm looking forward to what happens next. because when you think about the concept of, you know, chatting with someone that's not human, right? It goes back a long ways, right? Like Intercom, I think, came out in, you know, 2011. So, you know, there's been chat bots and things like that for a decade now. Is this where the industry as a whole may be headed?

So instead of even, you know, talking with, you know, smart AI bots in the future, Will we just be talking with AI avatars in video in real time? Well, it kind of goes to a larger question. And the way we like to frame it is, you know, we as human beings are literally hardwired to respond to other faces, to see people's facial expressions, body length. That's the way, you know, since we came down from, the trees, right? We've interacted with other people, face-to-face conversations. But when we're

interacting or engaging with the technology, up until now we've always been doing it on the technology's term, right? So it used to be, you know, we talk about the evolution from textual user interface to, which is, as a child of the 80s, I remember, you know, those green screens, all you had is a command line and you're typing in and that's the way you communicate. Then we evolved in, I guess, in the 80s, 90s to GUI, the graphical user interface, which is basically what we're using now. It's mouse and keyboard and windows and drag and drop and scroll. But that's still communicating or interacting with computers, machines, anything digital,

on their terms or on its terms. What we believe is that the technology is AI, large language models, natural language processing, natural language understanding, really opens the door to a new way to interface with these devices. And one that's more suited to us as people. So we see Tuey, textual user interface, GUI, graphical user interface into Newey. That's a natural user interface and agents is kind of the first step towards that. We really believe that we're going to be encountering this type of interface everywhere. Whether it's on your phone, your small screens, whether it's your big screen in the living room,

whether it's kiosk at the supermarket. You'll just be speaking to digital people, digital humans. avatars, everywhere you go. Yeah, I like this from Ben saying, it sounds cool, like an ideal version of, you know, Clippy from, you know, 20 years ago from, yeah, we can't animate objects, but no. And yes, there's a question, when is it going to be,

when is it going to be appropriate? Because, you know, there are instances where it's natural and you want to be speaking to another person, bouncing off their expression reaction stuff like that. But sometimes not, you just want it in your ear or you want to type. So it's not suitable for all solutions, but we definitely think it's a step forward and think, you know, when you're connecting that avatar to different systems in the background, it's your operating systems, it's your shopping experience. really, again, we're a platform company, we're providing the basic infrastructure to do that.

But like we saw with the creative reality, it's really difficult to predict how users are going to take advantage of it, what kind of creative ideas they're going to have with it. And we're here looking at what everybody is working, building. It's an exciting time. Yeah. And hey, as a reminder, if you're joining us midway through the conversation. We have Ron Friedman, the head of content and creative marketing at DID. I'd say one of the most creative and unique AI companies out there. Ron, I have a question. So when we like look at the actual application of this, you know, broadly, are there concerns, you know, and I'm not talking like, you know, technical obstacles, you know, that maybe DID is facing as a company. But, you know, when we look at the larger issue of, you know, AI,

agents and being able to interact with something that feels human. I mean, are there any things that the industry has to keep an eye on in terms of ethics, in terms of use cases? Like, what are those areas that we should all still be keeping in mind and not just racing to implement this, you know, anywhere and everywhere we can? Right. Well, yeah, of course, there's ethical concerns. And I think everybody who's in the AI space is aware of that or should be, at least.

You know, you started off the conversation, the news today with the regulations coming out of the Biden administration in Europe. And I think the industry or the technology is so far ahead of the regulation that we, you know, in some ways we have to police ourselves or put the brakes on ourselves because the technology is so powerful. and look like every tool you know the product or the result is is as good as the person using it but that's you know that's not a it's not a cop-out or a line we do take proactive steps to prevent misuse you know we have guardrails on preventing uploading images of celebrity or politicians because we don't want, we don't want to be used for for nefarious purposes or to fool anybody or to you can imagine some of the unwanted consequences of these capabilities. And we've we're making sure that

our users are abiding by our pretty strict terms conditions. So it's not to misuse it. But you know, we're making sure that our users are abiding by our pretty strict terms conditions. So it's not to misuse it. But, you know, anything that comes from either kind of industry organizations, alliances, which were part of the government, I think is really important. I think people should be aware when they're engaging with AI. So, for example, in DID, every video that comes out has a watermark. People complain about it. I say, hey, you know, I want to put out a great video, and you've got that DID logo,

or you've got an AI watermark on the bottom screen, and kind of, I don't want it. For us, that's always going to be in place. It's important for us to know that the videos that are coming out of our studio are branded or are marked as AI so that, again, it's not misleading. There's a bunch of steps that we're taking to prevent misuse. But things that come out from governments, from industry alliances, are very welcome. Yeah, that's a great point because we talked about on the show yesterday, I think there were. was some a piece of AI news that the former uh pakistan leader there was in prison and and used uh you know an ai version of of himself to have a have a rally so to speak so i'm glad you bring up that

point because yeah i think people are always thinking about when it comes to AI you know things like deep fakes or things like you know um you're coming into an election here in the states exactly yeah and this is the first one with yeah yeah um you know you know you know know, maybe Ron, because I think that there's so many, like, very practical business use cases for this technology, right? Like we talked about earlier, you know, explainer videos, you know, training, a way to make training a little more personable. And maybe even having, you know, the person that's normally leading training, you know, leading it, you know, corporate communications. But maybe what are some more creative or out of the box business use cases that you all have

seen so far that maybe you weren't necessarily building AI agents or avatars for that reason, but you're like, oh, that's pretty creative. That's really helpful. Well, look, the product is very new. We launched it a few weeks ago. So industries are, tend to, especially big enterprise, tend to be slower to adopt. But I can give you an example where, you know, we have a client that's a food company. They specialize in Mexican, cuisine and they took an image of the grandmother of the CEO and people who people can try it out is called abuela AI and basically they trained that model on recipes and culinary expertise all around Mexican or Latin American cuisine

and that's it you can ask abuela that agent anything you want what's what what beverages go well there we go what beverages go well with you know my my whatever my recipe is or you know what yeah that's okay so for for everybody's not feeling Jordan is that on a while I know and he's asking what beverages go well with my Mexican recipe I don't know yeah I don't even know what to put there maybe with my spicy taco recipe Exactly. All right. Let's see this live. So this is a really cool use case. So yeah, if you're listening on the podcast, on the left hand side, there is the Ovala there, right? And then I'll be able to hit enter. And presumably, you know, I guess it's going to talk to me, right?

Yep. Interesting. We'll see. Yeah, we'll see. So yeah, I'm asking what beverages go well with my spicy taco recipe. For spicy taco for a refreshing contrast. Try a traditional Mexican beverage like a cold potato or a crisp citrusy margarita. I love it. Yeah, and hopefully everyone can hear that out there. But that was a really cool, you know, a showcase in real time of something that you could use, you know, for a Mexican restaurant. If people want to really build community, right, or to give their customers just a unique experience, that's a great use case there. Adobe just introduced an entirely new way to create, bringing the power, and precision of its creative suite into one conversational experience. Meet Firefly AI Assistant, now live in the Adobe Firefly app, the All In One Creative AI Studio.

Powered by Adobe's Creative Agent, Firefly AI Assistant lets you start with your vision, just describe what you want, and shape the outcome as it takes form with the Assistant. The Assistant orchestrates multi-step workflows, drawing on 60-plus pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator, Premiere. lightroom express and more to help bring your ideas to life. You can also get started with creative skills, a growing library of pre-built workflows for common creative tasks like batch editing photos, creating mood boards, portrait retouching, and creating social variations.

Every step the assistant takes is visible so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta. See it today at firefly.adobie.com. Thanks. Yeah, yeah. No, and I'm, you know, I'm sure we're going to be seeing this type of use case and many more to come. Again, a lot of the times it's just putting a product out there and letting, letting, you know, the business world or, you know, also individual users kind of see the value and take it and adopt it to their own purposes. And like I said, I mean, this is an exciting time. We're eager to see what people make from it.

Like I said, we're still in beta modes, a closed limited release. But pretty soon, I anticipate we're going to be seeing a lot of these agents everywhere. Yeah. And speaking of, you know, business use case, I'm looking at the time here. And I'm like, hey, we can technically still break a little news by a couple of minutes here, Ron. Because I do. Yeah, I do believe you. have a tool that you're going to be announcing in literally two minutes.

So what's kind of launching today specifically with emails? All right. So we're DID and partner company is called Living AI created a plugin, an integration with DID's technology that relies on the ID's API for sending personalized video emails. So if you're a business, you want to send an email to 100,000 different people, but you want it to be personalized. You want it to not just be, you know, a single generic video. You want, hey, Jordan, this message is for you. Or you're in X company, this is the perfect solution.

So now with AI, you can create these video, personalized videos, you can send by email and very simply can integrate with any email service provider, send it out to as many recipients as you want, and it'll have that customization built in. Yeah, that's fresh off the presses for you. I'm glad. I'm glad we got it in just just a minute before the press release was released, right? Like the old journalist, right? We're like, all right, let's let's get this news out there, right? I like this comment from from Megan because this is something I wasn't even necessarily thinking of, but just a different way to learn.

So Megan's saying this could be great for young education, talking to historical figures you're learning about. Yeah, maybe Ron, can you talk a little bit about that? Because, you know, like you said, you can't upload photos of, you know, of a famous celebrity and something like that. But I'm guessing you can, you know, create, you know, maybe in mid-jurney or something like that, kind of generic era photos, you know, of absurd. eras and history and then be able to learn. What are some use cases for just learning by talking to an agent?

So education is one of our favorite use cases. So right now with the studio even, you can create videos, you can have chat GPT generate a script, talking about Charles Darwin talking about evolution or Albert Einstein talking about relativity or a fictional character, right? I want Bilbo Bauer

to tell me the story of the Hobbit through his own eyes. So you generate a script, you can generate an image of any one of those characters, and again, within seconds, we can have Bilbo delivering his life story in his own image, first person. But when you combine that with the capabilities of agents, it becomes even more interesting, because you can take those same characters on you know let's stick with the hobbit you know you can upload the book or upload uh any any anything that was written documented about that character um again create an avatar based on their design and there you have it billbo you can go back and forth for as long as you want with belbo baggins or charles darwin or um historical figures fictional

characters. So a great, great tool for education history. But you know, you can create an agent of a physics professor or a law professor, a finance guru. And you can go back and forth. It's kind of a force multiplier there. Yeah, Megan, that's a great comment because, you know, one thing that I think conservative AI is extremely undervalued in is the ability to help you learn better, just kind of personalized micro learning. And I think that's a great example of that. One more here from the audience, you know, Andy just kind of joking around, you know, saying, hey, Jordan, it sounds like you can make a vacation or you can finally take a vacation. But, you know, I'm wondering, Ron, from a business standpoint, is this something that in theory,

right? Because everything we do now, it seems like, you know, we're in so many Zoom meetings and emails, but when you can create an agent and tie it into all of your data, isn't something like this kind of possible, right? Because you can give it training where you could have an AI agent version of yourself, you know, especially if you're constantly talking to teams, if you're presenting, it could do a big bulk of your work for you, correct? Sorry, Jordan. I seem to be a connection for it. No worries. No worries. We'll give you a second to see if We can't reconnect. Yeah.

So this is, at least for me and Ron, feel free to jump back in if you're able to. But I think that this is such a fun use case, right? To be able to train yourself even, right? You know, with everything that you talk about, you know, we have, even for us, right? Like we have so many hours of YouTube videos. We have, you know, hundreds of blog posts, you know, hundreds of newsletters that I've even personally written. So to be able to upload all of that and to make a, you know, essentially a large language model, but that can speak in real time that can look like

myself, right? Ron, it seems like, you know, if you're, if the connection is back here, Ron, it seems like that's such a great business use case to, to be able to kind of replicate yourselves or maybe you weren't able to give people personal attention before, you know, kind of the example of, you know, emails at scale. You know, I'm even thinking of, you know, can that be done for your own internal employees, right? Like if normally you can't give all your employees one-on-one attention, is that a good use case for, you know, agents moving forward in the future? Look, I'm not sure for one-on-one attention, how you'd feel if your CEO or your manager would pawn you off to

to an agent. I think it's more about gathering information. I mean, a professor, right? They can't, they can't speak to every single student in their 500

person classroom. You know, so they can upload their course curriculum and kind of answer a lot of the basic question. When's the assignment due? How's the grading work? Stuff like that. you know, for a utilitarian purpose.

But, you know, when it comes to external communication, external messaging, I think it's a huge, huge time saver. I think people are going to want to, you know, take the time. Think about you can have a conversation with a customer service agent, a technical support agent. And they're not on the clock. You know, they don't have to worry about, you know, getting to the next call. They can patiently listen to your queries. You can kind of introduce topics that you couldn't before.

They're available 24-7. You know, they're always trained to be pleasant and polite and patient. I think that's probably the first places we're going to be seeing these. I love that. And Ron, as we wrap up here, because we've talked about so many different things in today's show, you know, creative use cases, future products that are just getting announced today. But maybe specifically, you know, what's the one thing that you want people to know and understand about this AI agent technology moving forward and specifically how it's going to impact customer

experience? What's one thing that you think is important for people to know? Look, I think like everything in the AI world, it's super valuable to experiment. You know, I urge people to go to the studio, try it out for themselves. There's a waiting list right now, but we're going to be opening it up. See how to build one, what kind of information it needs, and then carry out a conversation with them. In this age of AI, you know, you say it often on the show, there's a new product coming out every day. There's, you know, kind of world-shattering, mind-blowing innovation taking place at such a pace. I think it's important that people try it out, see if it works for them,

imagine the use cases or the solutions they can build with it. And a lot of the times it's just taking the plunge, combining it with other tools. That's something we didn't mention, but, you know, that's something that should be happening. and, you know, letting it loose on the world. I think there shouldn't be much holding us back now. I love that. And hey, yeah, there is so much that we couldn't even get to. But, hey, that's why we have the newsletter.

So, Ron, thank you so much for joining us on the Everyday AI show. We appreciate your time. Have a good one. All right. And hey, everyone, as a reminder, there was so much we couldn't even get to. New products being released, all that. If you haven't already, please go to your everyday AI.com. Sign it for that free daily newsletter.

We'll have a lot more about some of what DID is working on, their current products, what's coming out even today. We appreciate that. We hope to see you back tomorrow and every day with more everyday AI. Thanks y'all. Meet Firefly AI Assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest,

orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution. Stand control with the ability to step in and refine at any time. See it today at firefly.adobie.com. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating.

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