Everyday AI Podcast – An AI and ChatGPT Podcast - EP 572: Agentic AI in the Browser: The next frontier of artificial intelligence?

Episode Date: July 22, 2025

LLMs are so yesteryear. The next wave? Agentic browsers. While we're all rushing to bring personalization, company files and more into front-end large language models, agentic browsers have been quietly staking their claim as the next big thing in AI. We explain why.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:Agentic AI Browsers vs. Chatbots OverviewFive Advantages of Agentic AI BrowsersPerplexity Comet Agentic Browser Case StudyOpenAI ChatGPT Agent and Virtual BrowserMicrosoft Edge Copilot Vision Agentic FeaturesGoogle Project Mariner and Gemini UpdatesStartup Agentic Browsers: Fellow, Opera Neon, DIALogged-In State and Workflow AutomationFuture Trends: Agentic Browser Momentum AnalysisTimestamps:05:10 Unlearning for AI-driven Work09:54 Agentic Browsers: Enhanced Context Utilization10:54 "AI Communication Simplified with MCP"15:28 "Hybrid AI's On-Device Speed"18:10 AI Browser Evolution22:40 Google Project Mariner Overview27:30 Streamlining Analytics with Agentic Browsers30:31 Agentic AI in Browsers32:08 Agentic AI's Rapid EvolutionKeywords:Agentic AI, agentic browsers, agentic AI browser, AI in the browser, agentic workflows, large language models, LLMs, front end chatbots, AI chatbot, Perplexity Comet, virtual browser, browser automation, AI-powered browsers, Google Gemini, ChatGPT agent, OpenAI virtual computer, model context protocol, MCP, agentic workflows, A2A protocol, hybrid AI architecture, Chromium-based browser, Microsoft Edge, Copilot Vision, Project Mariner, teach a task mode, Gemini assistant, logged in content, richer context, task automation, cross-site task automation, multi-step task automation, browser memory, shadow windows, Eco framework, natural language agentic workflows, JavaScript agentic workflows, Neon Opera browser, contextual AI, offline AI tasks, cloud browser, Manus AI, multi-agent architecture, browser cookies, contextual assistance, prompt engineering, personalized AI browser experience, task completion AI, web automation, business workflow automation, 2025 agentic browser predictions, virtual desktops.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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 in 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. As someone that's been covering AI daily for almost three years, I feel I'm kind of able to spot trends before most people.

And don't get me wrong, there's a lot of fads and duds and hype in the AI world, and then there's some big splashes that amount to nothing. But there's been a recent tidal wave of momentum over the past three weeks in one area that I don't see fading, and that's agentic browsers. And not only do I think this isn't a fad, I actually think this is the future of work for most of us. And it requires a much different approach than we've been working with over the past three years since the generative AI boom.

And that's why I think agentic AI browsers are the next frontier of artificial intelligence. So we're going to be talking about that and a lot more on today's episode of Everyday AI. What's going on, y'all? My name's Jordan Wilson and welcome to Everyday AI. This is your daily, unedited, unscripted, live stream podcast and free daily newsletter, helping everyday business leaders like you, like me, not just keep up with all of these flurry of AI developments, but how we can make sense of it to leverage all of it to grow our companies and our careers. So if that's what you're trying to do, this is your new home. It starts here with the podcast and live stream. But if you really want to take it to the next,

level, you need to go to your everyday AI.com. There, sign up for the free daily newsletter where we will be recapping the biggest takeaways from today's show, as well as keeping you up to date with everything else you need to know in the world of AI. And you can go listen to now like 570 back episodes from some of the smartest people in the world, all for free, sort of by category on our website. So if you want the AI news, make sure to check today's newsletter for that. But let's get straight into it.

And let's talk about agentic. browsers and agenic AI in the browser and how I think this is actually going to be the default way that we work with today's large language models. All right. So here's my hot take. Yet this year, I think that agentic browsers will be more powerful and probably maybe not by total number of users, but just by overall direction. I think it's going to be more popular as well than their AI chat bot.

counterparts. So what does that mean? As an example, we're going to be talking about it a little bit in today's episode. Perplexity. Perplexity came out with their very popular agentic AI browser called Comet. So what I'm saying is I think in 2025, comment will probably have more upside, more momentum and be more overall useful than its large language model front end counterpart perplexity. Right. So as an example, going to perplexity.com and using perplexity as a chatbot or using it as an agentic AI browser inside the perplexity comment browser. So yeah, still in this year, I think it's going to be more popular, more commonplace and more momentum behind developing these agentic browsers. And why? Well, once you start using them, you'll understand.

But I think agentic AI browsers are all about action. and task completion, whereas I think front-end chatbots are usually more about research, personalization, and content creation, right? But it still feels like there's a step to bring better data in before you get started, and then a couple of steps to make use of all of this content that you create in a front-end chatbot. So let's preview what we're going to go over the rest of today's show. So stick around, and I'm going to give you the five main advantages of AI browsers over front end chatbots.

I'm going to show you the recent momentum behind this movement from big tech, which makes this hot take, I would say, kind of undeniable. And then I'm going to preview some of the up-incoming AI agentic browsers that are worth paying attention to. So why does this matter? Right. Maybe you don't care. I don't care about agentic AI browsers, right?

I like using, you know, chat GPT here or there. I like using Gemini or Claude, right? Why does it matter? Well, internet browsing is habitual. It has become such an ingrained part. If you're a knowledge worker sitting in front of the computer, which I'm guessing that's like 99% of our audience, it is literally ingrained in your brain,

these kind of old school processes. And I talk so much about unlearning, you know, and how using a large language model, especially as they've grown in maturity and capabilities, you know, with reasoning, you know,

being able to think through problems step by step, being able to agentically go through their tool use, right? I think you have to unlearn. kind of these now automated ways that we work as humans. And I think one of the biggest culprits is just opening a browser and going about something the old way that you've always done. But I think the future of work is humans orchestrating large language models in agentic AI browsers, not just manually going through the task like we've been rewarded for for many decades.

And I think the other reason why this really matters now, developments are happening so fast, faster than the general, generative AI space, which is actually hard to believe, but it is true. So, you know, also I'm curious. Live stream, why have you used an agentic AI browser yet? You know, there's, there's a couple of them out. I'll say at least among the big names, probably one of the more popular ones is perplexities comment. We've seen now some, some reports that said open AI is working on their browser and

their new chat GPT agent, I think it's essentially setting the groundwork for how it will work inside of a dedicated browser. But let me know, yes or no. Like are you using agentic AI browsers right now? Like yes, no, interested, not interested. You know, because I might end up doing a follow-up show, maybe this Wednesday or next Wednesday, you know, for putting AI to work on Wednesdays. So if this is something, yes, you're very interested in.

Yes, I care about it. Yes, I'm using them. We'll probably schedule another car. couple shows. So please let me know. But now let's go over the five reasons why agenic browsers are the future of everyday AI use. Number one, there's no middleman. And I should probably zoom out a little bit and first explain the difference between agentic AI browsers and large language models. So I kind of already gave you an example of it, you know, perplexity versus perplexity comet. But Essentially, you have your AI chat bots, right?

That's what we all call them. That's going to a large language model on the front end. So there's front end and back end of large language models, right? Most of us are probably front end users. We go to chatGBT.com, jemini.com, claw. Dot AI, whatever it is, and we log in, right? And then there's back end development where you can work with APIs. We're not talking about that.

So you have your front end AI chat bots. And then you have now a new category, agentic AI browsers. So in the example of perplexities, which we'll talk about a little bit more. It's where you actually, instead of logging in to perplexity.com, instead, you download their browser. It's based on chromium. So if you're a Chrome user, which I think most people are, it easily imports all of your data.

And then it has this hybrid AI approach. So that's one of the big differentiators. And that's point number one, there is no middleman. So when you log into a front-end chatbot, it almost feels like an unneeded degree of separation between our data context and our end goal, right? And I've been seeing that and realizing that more and more, both in the last, you know, week or two, the more I've been using perplexities comment. As I'm using chatGBT's agent, I've been using Google's Mariner, which I'll talk about a little

bit more. But the more I use more of these agentic browsers or agentic kind of that have virtual computers, is virtual desktops, the more I realize that working with large language models, the traditional way, doesn't always seem like the most intuitive, right? It almost seems like there's this degree of separation, this middleman. And I think that's one of the reasons why with agenic browsers, why they're going to pick up in popularity. Reason number two, direct access to logged in content. So I think you can, if you are a power user, right? So let's just say, you're, spending, you know, eight to 10 hours a day in large language models.

That's not most of us, right? For me, that's a lot of my days sometimes. But I think you can actually save hours a day. And not only that, but get better results by having direct access via an agentic AI browser. So what that means is when you are logged in to an agentic browser, it just knows. It has access to all of your tabs opened, file sharing, Copying and pasting is cut down.

Like even just the traditional context window kind of goes out the window, right? Because you can still open multiple browse tabs in an agentic browser, but those tabs also serve as memory for your context. And also wherever you're logged in, which brings us to point number three, richer context. So that's just in agentic browsers. You have much richer context for your tax. TAS. So you can connect online through your browsing history, your emails, your web pages,

PDFs, whatever you're reading, et cetera. All of those are instant context. So again, that saves you from having to, oh, I need to open this, you know, I need to open this file first and then I need to download it and then I need to upload it to the LLM. Oh, wait, this is the wrong format or it's not reading something correctly, right? It's just so much faster and more intuitive to just be able to have that richer context available immediately. All right. Let's go to reason number four. It's just less duct tape, right?

Don't get me wrong. I'm very bullish on these new agentic AI protocols. So what that means in the easiest way to explain this that I've done before here on the show, websites have traditionally talked to each other via APIs, right? It's essentially a language that allows. allows two different websites to be able to talk to each other, share data, dynamically, update things on the back end without a human needing to be involved. So we have that now with AI, right? APIs didn't really work with AI in large language models.

They needed their own language. So then we had the very popular model context protocol, MCP from Anthropic. We have Google's version of that, which is A2A, agent to agent, et cetera. So these are all great. Don't get me wrong. And they're all very much needed. I think with agentic AI browsers, there's just less duct tape. You don't need to set up and configure MCPs or agent to agent protocols.

And, you know, there's another half dozen of very popular now, essentially, agentic AI languages that allow agents in large language models to talk to each other and share down in the background. So yes, I'm still bullish on that category. I still believe it's very much needed. But when you're using an agenic browser, you don't need any of that. You need to log into the websites that you need. And I gave this example when we did a perplexity comment show. I don't need to go into, you know, as an example, my, you know, our podcast is hosted on Buzzsprout. You know, we use Beehive for our newsletter.

We have Google Analytics data for our website, right? All of these different things. Generally, what I would have to do is log into all those systems. Then I would have to download all of this data. I'd have to make sure it's in the right format, make sure it's all clean data. Then I would have to make sure it's in a format and upload it to a certain large language model. And if I really wanted to take it further agentically, then I would have to, you know, configure an MCP server for one of those avenues, right?

if I wanted a dynamic easy access. But there's less duct tape with a browser, with an agenic browser. If you're logged in, you don't need to do all of those things. It is automatically able to access your dynamic data. Is it slower? Absolutely. Is it more stable? Probably, right?

And we've seen so far over the last couple of months with the explosion of the model context protocol, there's also been a surgence of problematic MCPs as well, right? Some fishing scams, all of these things. So as something gets popular way too quickly, the bad actors capitalize on that as well. So yes, I understand, you know, this less duct tape approach in a browser might be much slower, but I do think ultimately it requires less tech know-how and for personal use, right? If I have to choose between an agenic AI browser versus configuring an MCP, I mean, it obviously depends on the use case, right? But in many instances, I'm just going to go for the one that's in the browser. All right. And then reason number five that I think

agentic AI browsers are going to potentially overtake using large language models on the front end is it's just faster. Right. And so I know this goes against the MCP example, right? So what I'm saying right now is a lot of these right now, virtual, right? So let's talk about operator, opening eyes operator. It's very powerful. It's very slow, right? You have to log in on the front end. It's actually operator.chatgpte.com, right?

And it essentially uses computer vision and it kind of takes screenshots to navigate around the web. So if you're trying to do something around navigating around the web, it can actually be hard by using these more agentic features of a front end of large language model. I know we're getting a little tricky there. That's why in, you know, kind of walking a tight line here. But I think the easiest example is to talk about operator. Very powerful, right?

But it's extremely slow, right? But when you bring an agentric AI, you're moving everything on browser, right? So it's almost like you have this hybrid approach where for basic and money, needed things, you're able to process those like in the browser. Kind of like with edge AI, right? If you have an AI chip on your smartphone, if you have an NPU AI chip right in your computer, something like that, it's certain things are faster because you don't have to send every single process to the cloud.

So that's another huge advantage is just having that on device speed. And the big tech momentum on this is undeniable. All right. But before we get to that, quick a word from our. partners. This podcast is supported by Google. Hi folks, Paige Bailey here from the Google DeepMind Devrel team. For our developers out there, we know there's a constant trade-off between model intelligence, speed, and cost. Gemini 2.5 Flash aims right at that challenge. It's got the speed you expect from Flash, but with upgraded reasoning

power. And crucially, we've added controls like setting thinking budgets, so you can decide how much reasoning to apply optimizing for latency and costs. So try out Gemini 2.5 Flash at AIS Studio.gov.com and let us know what you built. So the momentum around agentic browsers from big tech companies is undeniable. And I'm looking here, everything on my list except for some of these agentic browser pieces from Google, the rest of these have really developed over the last two weeks, right? So the first, and I think one of the more impressive is actually perplexities comment. So we did do a dedicated show on that, but let me just give you a little bit of information. So this is, again,

agentic AI in the browser. It does have that hybrid AI architecture. So it kind of cuts out the middleman of an AI chatbot and everything is happening in the browser. And we did go over just about a week and a half ago in episode 568, we went over five business use cases. So again, I would say for most arguments, you know, perplexity is probably a top five, top 10. You know, AI company, depending on what you're looking at. So again, they are hats off to them. After, you know, six months ago, I said they're going to have to hard pivot or they're going to get squashed. And they are leading, I say, the pack, at least in getting a truly agentic AI browser to market.

All right. Next, open AI's chat GPT agent. So, yes, this is still you're using it on the front end on the large language model, but hear me out. because it has its own virtual browser. That's the key here. Chat ChatsypD's agent, it operates by essentially launching its own virtual computer. And on that virtual computer, it uses a virtual browser. And I talked about eventually OpenAI will have its own browser.

It's been reported. And we talked about that with the reporter from Reuters who broke that story in episode 565, if you want to go back and listen to that. So the chat chip chiptie agent uses his own version. computer, including virtual desktop, virtual browser, et cetera, and it combines deep research operator, terminal access, and some new capabilities, right? And I do assume that probably by at some point this summer, we'll see Open AIs browser. It's been reported by just about every single outlet that they're going to be releasing a browser based on Google's chromium, which FYI, perplexity

comment is based on Google's chromium. Open AIs, chat, GPT, agent based on Google's Chromium, right? So that's their kind of open source version of Chrome. And hey, here's one other company going agentic in the browser based on Google's Chromium. One of their biggest competitors, Microsoft with their Edge browser. All right. And there is a pretty interesting update that just dropped days ago to Microsoft Edge and their co-pilot vision feature within Edge. So I'm won't say that Edge is a fully, you know, fully agentic AI browser, but over the last few months, and especially this update last week, they are bringing more and more agentic capabilities to

the Edge browser. So one is just copilot vision. So that's Microsoft's AI tool that can analyze and assist with content shown on your screen. So the July 2020, the July 2025 update lets it view. any app or window on your desktop that you choose, not just Microsoft Edge. So that one is pretty cool there. So obviously you can use copilot vision and it can understand and interact with anything on your screen.

But then to be able to bring your desktop into it, I think starts to build a more cohesive, agentic workflow. Also, you can control what co-pilot sees, making it easier to get context-aware help with anything on your desktop. And like I said, it's based on chromium. And now the quiet leader in the space, I don't think Google has the best product when it comes to Agentic AI. But the thing I'm thinking of, okay, the three other big leaders that I just talked about, they're all using Google Chromeia. So I have to believe it's going to be any month now that Google is going to come in with a huge update, whether it's to their Chrome product, whether it's to their project manager, which we're going to talk about.

or Project Meritor, which we're going to talk about live now, or maybe they're Gemini assistant, their in browser assistant. But you have to believe Google is probably going to be striking back. But they already have, you know, like I said, two or three different versions of agenic browsing already going on. So one is with Project Mariner. So unfortunately, Project Mariner, I think, is only rolled out to some trusted testers and then to people on their Gemini Ultra plan,

which is something that I pay for, obviously. So I've been able to use Project Mariner. So if you don't know, here's what Project Mariner is and some of its agenic capabilities. So it's a virtual browser, right? So it's kind of weird. It's like a browser in a browser, just like operator. So it's not truly agentic at the core yet

because this is more of a service within that you would use while logged into Google Chrome. So it agentically browses the web. One unique feature that I really love with Google's Project Mariner is it has the Teach A Task mode where essentially you can share a tab. You can talk to Project Mariner, go do a bunch of series of actions, and then it learns it and can repeat it, which is amazing. I hope that all other agentic browsers have something like that.

Also, Google does have a Gemini assistant in Browder. I don't think a lot of people know about that, but it's just in the upper right-hand corner. So pretty cool. Also, I think that Chrome slash Google slash Chromium holds the key here, right? Because Comet and Edge and Open AIs browsers are all going to be based on Chrome or sorry, chromium. So I am expecting something big from Google in this regard when it comes to agentic browsers.

They have the feelers out there. They're getting data and feedback from their trusted testers. They're putting out some different agentic capabilities in different parts of their kind of suite of products. So I would expect something big from Google probably before 2025. All right. So there you have it. The biggest companies, at least, are going all in and now, right? Aside from Google, which I think most of the.

those developments were announced in March and April. But aside from that, everything else has been over the last week or two. So the momentum that we've seen from Microsoft, from OpenAI, and from perplexity, and now from a lot of these startup contenders, is going absolutely bonkers. Okay. So now, last but not least, let's talk about some up-and-coming agentic browsers that are worth keeping an eye on. So first is the fellow.

AI browser. So this has this is an agenic AI browser featuring a deep action workflow that automates cross site multi-step tasks in shadow windows. It's built on the eco framework enabling customizable agentic workflows via natural language or JavaScript language as code. And it can access both public and password protected sites. That's important to generate comprehensive reports or perform research. Then we have neon from operating. So opera is one of the, you know, kind of second tier, I would say leaders in the browser wars, right? So you have, you know, Google Chrome and then everyone based off Google Chrome. You have Firefox.

You have Safari. And then that I would say is tier one. And then tier two, I think opera, Brave and others are right there in the mix. So now we are having more of these agentic offerings. So this is different than their normal opera browser. So Opera Neon is a new experimental. agentic AI browser offering different modes labeled chat, do, and make to autonomously code websites, generate games, fill forms, and also book travel. So it's kind of like half large

language model, half agentic browser with neon. So that does require page subscription like so many of these do, and it's waitlisted right now, but it integrates contextual AI to perform offline tasks without switching apps or taps. So some pretty unique features in operas neon. Next, we have another chromium-based offering, which I think is probably been one of the more popular kind of agentic browsing startups, and that's DIA. So this is from the browser company. They've kind of gone all in on DIA after a pivot themselves. So DIA chats with open tabs, rewrites or translates text in line, and also helps plan tasks. It can also route your queries, through a skills system that selects the best LLM or tool for each task.

And it also leverages local browser cookies and encryption to access logged in sites safely for contextual assistance. That's one of the biggest advantages. As you can see, right, I'm bullet pointing some of the features of these more startup agenic browsers. One of the biggest things is like, hey, once you log in and it stores that via cookies, you don't have to log in, right? Let's just say there's 10 sites that, right, I kind of give you my example, right?

We use Buzz Sprout for distribution. You know, I check Spotify for our podcast stats. I check Apple podcast for our podcast stats. Google Analytics for our traffic, Google Search Council. I track, you know, everything and Beehive. That's for our free email, free daily email newsletter. So I have like 10 or so websites that I'm constantly long. logging into almost every day, right?

Our YouTube analytics, all of these things. With these agentic AI browsers, DIA, all these others that I mentioned that have this logged in state, that's what's so great about it. You don't have to, you know, set up and monitor, you know, custom MCP servers or wait, you know, maybe months or years for, you know, a connector to come to one of these services if they are more niche. So just think of all those websites that you constantly log into, right? That's the big advantage.

of these agentic AI browsers is being able to take advantage of that logged in sites. And to be able to go on its own, right, you can just kind of work out a prompt that says, all right, go visit these 10 sites, pull all my, you know, pull all my stats, you know, go look at my email and then give me a plan for the day, right? Oh, if you're, you know, if a certain KPI that you're tracking has been tanking the last week, okay, you know, an agentic browser can go through and know that and then it can go see if there's any emails, any open conversations about what that stat or what maybe caused that spike or drop.

So that's a huge part. And I do think right now you still have to, depending on the browser you're talking about, you do have to, you know, get a little bit back into the prompt engineering side of things, right? If you do want something super autonomous and impressive. But I think in the short run, you know, agentic ad browsers are just about giving you better results in less time than a large language model. And then last but not least, this one has a little bit of an asterisk because it's not

technically a browser, but I think I have to still mention Manus. So they do have a cloud browser. So I would love to see Manus bring an actual browser out. We'll see. But this is more of a one of the more popular agentic AI platforms, but Recently, they have launched a cloud browser, which is why I think, okay, this is close enough that we should probably include it in the agentic browsers to keep an eye on. So it's a general AI agent very much like chat chbtee agents that turns thoughts into actions

autonomously executing complex tasks across work and life domains without continuous human prompts. It's built on multi-agent architecture. That's pretty cool using Claude 3-5 Sonnet and Quinn models. So Manus is from a Chinese product. So it uses Quinn and some other models. There's 29 specialized tools, including browser use for web automation. And then like I said, it does have a cloud browser. And like the reason why you, well, I think it's better to have a local browser.

But a cloud browser, I think will still suffice if you want ancientic browsing because the biggest thing is, again, keeping that login state. So you can have it go, you know, check your email, check whatever, you know, piece of software that's very important. for your day-to-day work. So being able to continue those tasks independently, you know, via the logged in state via the cloud browser. All right. So that was a lot of information in a short amount of time. So let's just recap.

And let me just make one more case why I think that agentic AI in the browser is the next frontier of artificial intelligence and why you and your company need to be paying attention. If I'm being honest, front-end chatbots, yes, they're great. Yes, they're going to continue to be developed. Yes, I'm going to talk about them every day on this show. But that's yesteryear's technology. I do think that everything, all these developments that we're seeing right now in front-end chatbots, right?

That's chatGvT.com, Gemini.com, claw.com, you know, copilot.com. Microsoft.com, right? These are all, for the most part, many of these features are going to end up in the browsers. And I think agenic browsers are the features. future. We can't ignore the facts, the receipts, the writing in the wall, the momentum, all the big tech companies and startups getting behind this movement. And like I said, the progress in this space is currently outpacing large language model development, which nothing outpaces large language model development. Y'all, I cover this every single day for almost three years. Large language

models have been developed and innovated and iterated upon faster than probably any technology we've ever seen. And I think especially over the last couple of weeks, the momentum behind the agenic browser space, both from big tech and startup companies, it is undeniable. It is strong and it is not going to stop because every big tech company is investing in agentic browsers. And I do think it's that major missing link between the potential of large language models and what business leaders like you and I actually need. We need actions. We need observability. And we actually need task completion. And I think that's what agentic AI will deliver on. And remember, today's versions, not good. But think back to the first time you used a chat pot, right? Think back to the

first time you use Bard and then think of how good Gemini 2.5 pro is. Think of the first time that you used, you know, chat chbtee 3.5. And then think of how good the models are now. Think of how good these browsers, these agentic browsers are going to be. And I will end by saying this. If you're not experimenting weekly with agentic browsers, you will quickly fall behind. All right. I hope this was helpful, y'all. If it was, please let me know, reach out in the show notes for the podcast, which I would love it if you would subscribe, leave us a rating on the podcast, but always leave information to reach out to me. Also, if you are listening on the podcast and you want to watch the video, there wasn't too much on the video side today, but we always have that in there as well. So thank you for tuning in. If this was helpful, please tell someone about it and then go to your everyday AI.com. There, we're going to be recapping the highlight. from today's show, as well as keeping you up to date with everything you need to be the smartest person in AI at your company or in your department. So thank you for tuning in. Hope to see you back tomorrow and every day for more everyday AI. Thanks y'all. Meet Firefly AI assistant. Now live in

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Go break some barriers and we'll see you next time.