EP 529: Microsoft Build Updates: 5 new Copilot AI updates and how to use them
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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. It seems like Microsoft dropped an entire book of AI updates.

Actually, if you look at their book of news that Microsoft usually rolls out around their big conferences, it was almost 100 pages long. It was 80 some pages, mainly of AI updates announced at Microsoft Build 2025. And if you don't have time to go through and try to understand what's important and what's not,

don't worry. I've broken down the five new co-pilot AI updates that I think are going to be very helpful for everyday business leaders. So you don't got to waste your time. Just stick with me for the next, I don't know, 25 or 30 minutes. And I'll tell you what's new, why it's important and how you're going to use it to transform potentially your business.

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All right. Uh, if you came here for the AI news, we'll put that in the newsletter. All right. We already have enough to cover just with the AI news from the Microsoft build 2025 conference. And, uh, thanks for joining live stream audience. Uh, happy Tuesday to you too, Jackie joining from LinkedIn, uh, Michelle and Dr. Harvey Castro, big bogey face and crew on the YouTube machine. Uh, thanks for tuning in. Uh,

I want to know what are you most excited for out of this Microsoft Build conference? Are you using Microsoft 365 Copilot? I always like to know what is our audience using? What are you excited for? But I'm going to go ahead and give you the five tips

things right now. Okay. The five new copilot AI updates that I think are the best to save you time. All right. And stick around and I'll explain each one, but I'm not going to make you wait any longer. So number one, I think it is the GitHub, uh, the GitHub copilot coding agent updates. Uh,

Two, co-pilot tuning for Microsoft 365. Three would be the agent foundry. Four would be multi-agent orchestration inside co-pilot studio. Five would be computer use in co-pilot studio.

And then I just realized this morning, oh, whoops, I accidentally made it six, not five. So I got a bonus one. Stick around if you want that one. So there's our top five, the GitHub Copilot coding agent updates, Copilot tuning for Microsoft 365, the agent foundry for multi-agent orchestration in Copilot Studio and five computer use in Copilot. All right, let's get straight into it.

All right. So number one, the new updates to the GitHub Copilot coding agent. So a big shift here. I think GitHub Copilot has primarily been looked at as a coding assistant, and now it's a straight up autonomous

Coding Partner. All right. So some of the bullet point here for the new update. So GitHub Copilot has now evolved into an agentic autonomous AI coding partner. It is embedded directly inside GitHub and it functions inside Visual Studio Code as well. It's capable of testing, iterating, refining code, and handling routine and specialized development tasks.

And you don't just have to talk to it anymore in natural language prompts, right? So it also accepts screenshots and mock-ups as inputs as now it is multimodal in its understanding. That one's a big one, right? So, you know, it's always like, oh, a picture is worth a thousand words. Well, imagine prompting iteratively with an autonomous coding agent that has access to your data with images, right?

That's a big step forward, right? Being able to show GitHub Copilot a product mock-up and just being like, yo, go build this for me. Pretty cool there. Also, right now,

And this is what Microsoft is saying. I haven't had, you know, obviously a chance to run all of these through yet because they were just announced a couple of hours ago. So, you know, the other big thing with GitHub Copilot right now is it's acting more and Microsoft is trying to turn it into more of a peer programmer that will suggest edits with you. Right.

right? Which is cool. So whereas before I think GitHub Copilot was really looked at as a coding assistant, right? Helping with kind of last end coding tasks or, you know, kind of like debugging. So now it's different. So now Microsoft is really trying to position, you know, GitHub Copilot, I would say more in line with what we've seen over the last couple of

days, really, right? So we've seen rumors and good thing there's rumors out there on the Google side with their Jules programmer. We've seen rumors of that already floating around. OpenAI just released a couple of days ago their codecs

their codex updates. So I would say it's more in line with a complete programming suite right now, GitHub Copilot is. So if you remember a couple of months ago, we talked about on the show, Devin, kind of the, you know, which they were early to the game, Devin was in terms of their AI coding assistant. But

I think that's where the separation is right now, right? I don't think GitHub, you know what Microsoft is trying to do with it. They're not trying to turn it into a cursor or a windsurf or a lovable or a bolt where it's kind of like a vibe coder, right? This is an entire coding platform and also it logs all actions transparently into GitHub issues for team review. The other big thing, and we're going to talk about this a little more is also now it's

supports MCP. So the protocol, model context protocol, created and made popular by Anthropic, and now everyone is supporting MCP. It's kind of the way for AI agents and just AI systems to talk to each other, kind of like how the internet has an API. Well, AI has MCP. So, you know, Anthropic really popularized that protocol and now GitHub Copilot supports it as well. So

Right now, at least the general availability for this begins on June 4th. So that's the other thing.

Right. And not just talking about GitHub Copilot, but with Microsoft in general, with Microsoft 365 Copilot, it's a little tricky, right? It's a little tricky to understand when these things are going to be GA or generally available. So right now, general availability is pegged for June 4th of this year for enterprise customers and ProPlus customers. All right. Big update. Number two is Copilot 2.

tuning. All right. This one's exciting. All right. But it's not available for everyone right away. You have to have 5,000 co-pilot licenses or a Microsoft account team contact to take advantage of this. But

I like this. So let's talk about what the heck co-pilot tuning is. So this is now a version of low code model tuning using your organization's internal data in your workflows. So whereas right now, and I think a lot of people in very early reactions to co-pilot tuning,

Or more talking about brand voice, right? Oh, let's have responses, use our brand language. And yes, that's technically one thing you can do with co-pilot tuning, but it's about much more than that. It's really about tuning the co-pilot model to better work within the confines that you set.

Right. And that, you know, fine tuning a model can mean a lot of things. But, you know, to oversimplify it for our everyday business leaders out there, it's when you essentially train a model and you give it examples of inputs and outputs. So when you say, hey, when I ask you about quarterly reports, this is what it should look like. Right. That's the very oversimplified version. You know, and whether that looks like how the outputs are structured or not.

The tone of voice, the language that's used, where you're pulling that data from. So that's an example of tuning model tuning. So now you'll be able to tune Copilot as a whole, which is really cool. And it allows businesses to create tasks

specific agents without writing code. And this is no data science required. So, you know, tuning is fully guided and accessible. So low code. So what that means is you don't need code. You can use code, right? But you can just do it with natural language, natural language,

and via the accessible, fully guided tour. In doing this, you're also able to create custom agents for different industries or verticals within your business like consulting, finance, legal, et cetera.

Also, all of the data and the agents operate inside Microsoft 365 secure service boundary. Also, Microsoft does not use this. This is important because this is what people are going to be asking, right? Microsoft says they do not use this customer data to train their foundation model. So a lot of companies, you know, have been hesitant, you know, in years past to essentially hand over the keys, you know, the keys of the castle, so to speak, or your company's data.

Which I've always just been like, y'all, that's dumb. Let's be honest. Can I just call a spade a spade here? Companies that have been like, oh, I don't want to hand over my data to Microsoft or Google. Oh, my gosh. Okay, well, do you use cloud storage? What's that? Yes, you do. So it's more or less the same thing.

But Microsoft does say when you're using this co-pilot tuning, they're not using the customer data to train their models. So when is this rolling out? Who gets access? How can you use it? Well, like I said, unfortunately, this isn't for really small, medium-sized businesses. This is more of an enterprise endeavor right now. But I do hope Microsoft scales back these requirements because I think

Let's just be honest here too, right? Enterprises are slow. They are slow moving. So for so many bigger corporations to take advantage of this co-pilot tuning, they're too slow. There's way too much red tape. There's way too much bureaucracy. There's way too, you know, it's too slow.

Too slow of an engine. I would have liked to see Microsoft roll this out to maybe organizations with 500 or a thousand copilot licenses, you know, put to put this out to you. Hey, you got to have 5000. That's usually just your pretty big enterprise companies. Right. Or if you have a Microsoft account team contact. So we'll see, you know, Fred here.

Good one, Fred. I like a good joke in the morning. Fred says that he's only 4,999 licenses short. Yeah, I'm right there. Like 4,998, Fred. So yeah, I would like to see them roll this out to smaller organizations, right? If they want to make this product better, this co-pilot tuning, which again, this can be one of Microsoft's big differentiators, right? Because

It's kind of a three and a half horse race, depending on how you look at things in the AI race right now, right? Between Google, Microsoft, OpenAI, and maybe Anthropic on the outside looking in. Meta is obviously trying to break into that conversation as well. And Microsoft has the clear advantage of

within Microsoft 365 because Copilot has access to all of your data. And this Copilot tuning is an extremely powerful piece. However, I don't think there's going to be very many organizations, unfortunately, taking advantage of this. So I think

a misstep here for Microsoft not rolling this out to even medium-sized organizations because this could be a standout killer feature. But I think the few organizations that have those 5,000 copilot licenses, for the most part,

They're titanics. They're big. They're slow. They're not agile. They're not going to be able to start tuning, even though it is low code. I don't think that they're going to be able to take advantage of this in a way that Microsoft is probably envisioning.

Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Gen AI. Hey, this is Jordan Wilson, host of this very podcast.

Companies like Adobe, Microsoft, and NVIDIA have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for chat GPT training for thousands,

or just need help building your front-end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to youreverydayai.com slash partner to get in contact with our team, or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on Gen AI. All right, number three update, Agent Foundry.

So this is essentially an AI agent playground. So it is powered by Azure, Microsoft Azure, but the AI Foundry agent service is now generally available for designing, deploying, and scaling enterprise grade AI agents. So

This is a ton of models. So right now, depending on what you're looking at, anywhere from about 2000 to 11,000 models. So we're talking about different models from and some of these are new. So Grok, as an example, is new. You know, X, A, I, C, E, O, or I don't know if he's technically the CEO anymore, what he calls himself, but Elon Musk is.

joined Microsoft CEO, Satya Nadella to talk a little bit about the Agent Foundry and now having Grok 3 available inside Microsoft's new Agent Foundry, as well as Grok 3.5, whenever that does release any day now, right? We've been hearing any day now for a couple of weeks. So, you know, from those models,

Proprietary models, you know, GPT, OpenAI's models, GPT-4.1, you have DeepSeek, you know, Microsoft, or sorry, Azure's safe version of DeepSeek, right? That's worth noting, the one that they've tuned and made safer. Anthropic models, Meta's Llama. So, you know, there's literally thousands of different models that you can now use as the base for your agents in the agent foundry.

Also, there is a real-time model leaderboard that helps you pick the best performing models for your tasks. So like I said, you can use proprietary or the bring your own model, some more open source, open weight to build into those workflows. And this also is accessible inside Copilot Studio. So you can have both high code or pro code tools as well as those low code tools

offerings as well inside Copilot Studio. This also adds enterprise grade security features, including Entra agent ID from Microsoft. And this one is pretty cool. And more on this here in a second is it does support multi agent workflows and also protocols from the bigger players. This is great. I can't believe it took.

AI for all the big companies to like kumbaya together, right? Because now inside the agent boundary from Microsoft, you have support for Google's A2A or agent to agent protocol that allows agents to talk to each other as well as Anthropix kind of open model context protocol or MCP. So like I said,

How this works, and I'll do a dedicated episode on MCP soon, especially now since there's wide availability and access to the MCP or to the model contact protocol, is this just allows your agents to be able to speak to other platforms outside, in this example, of Microsoft's agent foundry. And what this means, it's big.

It's big, right? Yes, it's great that there's now this, you know, this Azure AI foundry with, you know, use thousands of different models, a model leaderboard. Very cool, right? But I think just as important as all those other things is the agent to agent or A2A protocol, as well as the MCP, the model platform.

Sorry, the model context protocol. Joe is saying, good morning, all. Loving this build coverage. Hope we have a co-pilot specific episode to look forward to in the near future. Well, hey, Joe, you're looking at it right now. And I believe it was you, Joe, yesterday that said you would want to see a Microsoft build or a co-pilot episode

episode. So here we go. Glad to have you join us live. All right, next number four in this was leading from number three straight into number four, which is huge. So multi agent orchestration in Copilot Studio. So

What's interestingly enough, I was working with IBM a couple of weeks ago, and we saw a lot of similar updates from IBM inside of their Watson X. I don't know if this is one of those big tech is just kind of copying each other, or if this is just the way that work is flowing, but we'll see. But right now we have the co-pilots

multi-agent orchestration inside of Copilot Studio. So now it supports multiple agents working together as a team with native support, like we said, for A2A and MCP to collaborate and divide tasks. That's really cool. So Microsoft says that agents can discover other agents, they can negotiate tasks and collaborate securely with governance as well. So

I'm going to be curious on how that all works, right? On how agents are going to decide on how to split up tasks, right? And work within the guardrails that you set. But I mean, sounds super futuristic and exciting. We'll see once it's generally available and once people are using this, how this works. So,

what can you use this for? I mean, my gosh, this is everything, right? This is what we've been talking about for years on, you know, the future of work is when you can have multiple specialized agents with different models, you know, working with your live data, working with each other, right? So obviously there's, there's huge upside potential here. There's a lot of

downside as well, right? When you talk about the old adage or the saying that if you're 1% off, right, eventually you're going to be completely off course, right? That's when a single human is 1% off. Or if you're working with one, you know, large language model, but think when you have multiple agents working together, that 1% off, if it's not

perfectly aligned, that is a compounding factor, right? You're going to be much further off base. So as exciting as multi-agent orchestration inside Copilot Studio is, you have to also understand the

huge downsides of this multi-agent orchestration. This is nothing against Microsoft either, right? I'm going to say the same thing for, for Google and, uh, you know, open AI as well. And this is more of a word of caution to people out there, especially early adopters, you know, the, uh, AI leaders out there listening to this podcast, you have to take extreme care when working in multi-agent, uh, environment. So, uh, I actually, uh,

Let me go ahead and grab the episode. And this might be one. I don't often replay episodes, you know, maybe when I'm traveling or if I'm at conferences or, you know, in the rare occurrence where I'm just literally sick and can't talk. Right. Which isn't very often had a great show recently. I'm trying to try to find it here on our website.

Because, you know, talking about multi-agent environments, like I said, this is the future. This is the future of work. So let's see, where was it? There we go. Episode 471. If you want to go listen to that with Babak Farzani.

from Cognizant, the CTO of AI at Cognizant. We talked about it in episode 471 inside multi-agent AI, rethinking enterprise decisions. That one's essential listening, especially as we talk about multi-agent orchestration. Like I said, huge upsides if you get it right, if you have your data governance right.

Throw out human in the loop. I hate that. You need to have expertise in the loop with the right humans on the oversight as well. But I mean, what you can do with this, you can automate work literally everywhere, right? Your entire business systems, your marketing, HR, IT, right? So some examples here, one agent could draft documents while another agent might create content.

from those boring text-based documents. Another agent could schedule meetings to talk about said documents, right? So when you talk about agents getting together and deciding how to break up the task, yeah, the dork in me smiles on what's capable. So the other thing inside this multi-agent orchestration inside Copilot Studio is agentic memory, right? Which is

Huge being able to remember and have that context from agent to agent. So again, this is from Microsoft. We'll see how this plays out in reality, but also automated validation tools for compliance and high quality performance.

And like we talked about, the multi-agent orchestration, just like the AI Foundry, does support A2A from Google and the model context protocol from Anthropix. So right now, this is not, we didn't even get a general availability date for this, which is probably a smart move as much as I don't like it, right? And I'd love to just see this unleashed on the world. But right now, this is in private preview right now.

All right. Next and maybe last, depending on if you guys want the number six or not, because I made a mistake, computer use in Copilot. So right now this enables agents to automate websites and desktop applications via natural language. So agents can interact like humans, clicking buttons,

typing and navigating interfaces. And this adopts automatically to UI changes in real life tasks. So what can you use this for? Well, really anything that you would do on your Microsoft computer, right? Anything repetitive. I think, you know, going through invoices is going to be a big one. Customer support, data entry, right? Anything that is uber

repetitive, mundane, and is fairly simple, right? Hey, open this PDF of an invoice. We're going to grab the information from these columns and put them into Excel, right? That's kind of the lowest hanging fruit that I think we'll see with computer use, right? Going across multiple applications on a desktop, doing research,

really just mundane data entry, I think will be one of the first and probably best early on instances of computer use in Copilot. But also there is that reasoning engine, right? When we talk about Microsoft's

ever evolving, right? That's the reality. They're ever evolving relationship with open AI, but it does have access to reasoning models. So models that can think, right? That can plan ahead, that can try to understand a task step-by-step, right? When it does require a little bit of logic or a little bit of planning, I think that's huge.

So let's talk about availability. So right now it is only available in the Microsoft 365 Copilot Frontier program for select users. And here's a big one. So the eligibility on this one is by the number of Copilot Studio messages that an organization sends. So if you're not in the Copilot Frontier program, if your organization sends

500,000 co-pilot studio messages, then you should have availability for computer use. And it is currently live for qualified enterprise customers under the program.

But if you want to see an example of this, if you have Copilot Pro on the web, you can actually go use this right now. Right. So I actually just did this. I was playing around with it a little bit yesterday. So let me actually stop sharing my screen. Well, actually, if you want the number six, like I said,

I thought this was five. I'm like, oh yeah, here's the five things. And then as I read over that, that book of news a couple of times, I'm like, wait, number six is actually just as big. Uh, so if you want that number six, just go ahead and comment for our live stream audience. Just comment more, or I can wrap it up. But, um, as you guys decide, if you want to see one more or not, I will show you all, um, an example of this live. We'll see how this goes.

There we go. So I think it should be on my screen for our live stream audience. So yeah, if you're using Copilot, the paid version on the web, which I know not a lot of people are, but let me just say this, low key, it's really improved over the last couple of months, right? So this is not if you're using kind of the 365 version of Copilot, right, for your business. This is if you're using Copilot Pro.

Very different. So this is the, you know, there's a free version, but also a $20 a month subscription. But if you're using a work account in your work is, you know, has Microsoft 365, you're not going to see this similar interface. But if it doesn't, or if you're using a personal account or a co-pilot pro, you will see this. So it is more of a chat GPT ask or Gemini ask layout.

But if you go into Copilot and you click on action, okay, so this is actually the computer using agent is live. I didn't even know this until I'm trying to think the first time I discovered it. I know that they had previewed this in their wave two announcements, right? So this is the official unveiling at Microsoft build of wave two, but they did announce that

the wave two announcements in April and the actions were coming soon inside Copilot, but it's actually live right now in Copilot Pro, but this is essentially a computer using agent. And it's a little tricky because by default it says, you know, actions are in preview and can make mistakes. Please monitor their work closely. And you know, it has these like pre-built

kind of computer using automations. Similarly, and this is like OpenAI's operator, right? Which is a big deal, but it's just called Actions inside Copilot Pro where it says hand off everyday tasks. And it's part of their labs, so you have to sign up for labs. But at first I'm like, okay, it's just showing like things to book.

right? Like, or order flowers or book a trip, you know, via Expedia. And I'm like, I don't want to do any of those things. So it's,

a little unintuitive, but you don't actually need to use those pre-built actions. It can do anything. So probably a mistake here on Microsoft's part for this kind of computer using actions to not make it a little more clear, but you don't even need to do that. So I could just say something and say, like, you know, please browse your everyday AI.com and find the latest five episodes on the episode page.

page. Okay. So I can click go on that. And again, for our podcast audience, I am just using the $20 a month co-pilot pro. But you'll see here, I mean, it's a live computer using agent, which right now, you know, you have to, I mean, operator from open AI is the only other mainstream one. That's at least easy to use. Anthropic has their computer using agent, but it's not web-based and it's actually,

extremely clunky and very hard to use. You have to be a little technical, but here we go. I mean, it's a little slow, right? But that's okay. But you can see now I have a literal computer using agent. It's going to youreverydayai.com and I can kind of see on the right hand side what's happening. And then on the left hand side or the other part of the

panel, I see in this virtual environment, the computer using agents going. So right now it says it's navigating to episodes section. So it notices that at the top of the screen, there's a big kind of button there that says episode. So it's going and it's clicking there, right? What's funny here is it blurs out all the faces from our

which is fine, right? So at any time I can also take control or anything like that. But that's just kind of like an extra one there for people that maybe don't want to wait for access. Maybe you already have access to this computer using agent right now and it already responded accurately. By the way, it did give me the latest five episodes by going to my website, navigating to the episodes page. So pretty cool there.

All right. So let's see. Did anyone want number six? All right. Marie said it. Joe said it. Fred said it. All right. A couple of people wanted it. So here we go. Number six, I kind of already mentioned it in other aspects, but here's why this is maybe just as big as some of these other updates that we already talked about.

So, uh, M C P native support. Uh, so here's why this is big. So it's now model context protocol for agents access to tool system and enterprise data. Uh, like I said, the MCP protocol was designed by infropic, but here's why it's big. It's not just in the AI foundry. It's not just in co-pilot studio, uh, with the multi agents, it is literally supported

almost everywhere, including GitHub Copilot, Azure Dynamics, Copilot Studio, Microsoft 365 apps, and even Windows 11. That's why this is huge. MCP is supported by default inside of Windows. Native MCP support. And I can't emphasize enough.

How big that is, right? For the future of multi-system agentic

AI, right? So what that means in theory in the future, right? Third parties could access your windows system because it has MCP built in by default. So this uses HTTP based communication between agents and enterprise tools. It also does add security with signed code, scope permissions and embedded registry. So you can actually see what's happening

within the MCP protocol that is available natively now inside Windows. This might be a slower rollout, so it's

Microsoft said there will be a developer preview of the secure MCP, uh, in windows after the build 2025 conference. Uh, they said that future updates will enforce default security and access controls. And also this does position MCP as the, uh,

infrastructure layer for the agent driven internet. I mean, the fact that I was not expecting this one at all, the fact that Microsoft is now supporting MCP natively inside windows 11, that's big for the future of work. What this means is in the future, right?

It is going to be so much easier to work with other third party applications that also support the MCP protocol. So think of like how an API allows two unrelated Internet websites to talk to each other. Right. MCP essentially does that for agents and there's other protocols. Microsoft even came out with their version of their own protocol.

as well. And then you have the you have the

Google version with A2A. I'm trying to remember what Microsoft's version. I think it was NIL Web is what it was. Yeah, so NIL Web is kind of Microsoft's version of this. But what I like here is Microsoft didn't just say, okay, we're using NIL Web and nothing else. Again, very exciting that MCP will hopefully, right,

This is there's no general availability date yet. So this might be one of those. You might have to wait a couple of quarters, but this does signal that that Microsoft is really open to working with the rest of the agentic web and other AI players. Right. So think of this as like speaking a language.

And six months ago, for the most part, you had all of these AI tools right before Anthropic created the MCP and it obviously popularized very quickly. I can't remember...

Aside from Gen AI and large language models, any time a protocol like this was so widely and quickly adopted across huge enterprise organizations, we've seen Google pick up MCP. We've seen OpenAI pick

pick it up. Now we see Microsoft making it native. So that's just enormous, right? So in the future, this does open up a ton of possibilities inside Windows 11 and probably Windows 12 and beyond in terms of Microsoft opening up your operating system to other devices

large language models that support MCP as well as just the agentic web, right? This is really big for the future of work. And I'm excited to see when this does roll out. Yeah, I would guess this is going to be, this is going to be a while because the security thing is huge. I'm like, I have already seen a lot of, you know, dark web MCP type things.

kind of protocols pop up, right? So people can build these MCP protocols and you can incorporate them in various AI applications. And like anything else, there's already been some bad ones out there that are trying to steal data or do some malicious things. So it obviously makes sense that Microsoft is going to have a slower rollout of this because it is an extremely popular and very robust way to work in the future.

All right. I hope that was helpful for those of you that said, Oh, like what else can we do more co-pilot stuff? Yeah. Well, uh, recently, if you want, uh, go listen to episode four 92. Uh, so that's when we had a VP of AI agents, Ray Smith, uh, farmer Microsoft on the show to talk about what's new inside Microsoft co-pilot studio. Uh, so I talked about Microsoft co-pilot studio a little bit here. So go listen to episode four 92. If you want to know more about

agents inside of Copilot Studio, as well as I did also show you a little bit of kind of the web version of Microsoft Copilot. But a couple of months ago, Microsoft really made a lot of things free inside Copilot on the web. So I went over that in episode 479. So if you want to know more about how that's changed, go check that out as well. All right. I think...

That's a wrap y'all. All right. So I hope this was helpful as we went over the five, well, actually six different co-pilot AI updates, how to use them, how I think that they're going to potentially change the future of work for organizations that are Windows or PC based. And this is big and don't worry.

We're going to be doing the exact same thing tomorrow for Google because within a couple of hours, Google is going to kick off their I.O. conference. It is AI week. We're going to have some probably smaller announcements from Anthropic Claude later in the week as well. There's been some rumors that OpenAI may release something as well. So we'll obviously keep you in the loop. So I hope this was helpful. If so, don't be greedy. Don't keep everyday AI as your little secret.

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I'd super appreciate that. We do a lot of work to stay up to date and to keep you up to date as well. So it only takes you a couple of seconds to show the love back. Thank you for tuning in. Make sure if you haven't, go to youreverydayai.com. Sign up for that free daily newsletter. I'll see you tomorrow for the Google I.O. recap, and I'll see you every day for more Everyday AI. Thanks, y'all.

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. It helps keep us going. For a little more AI magic, visit youreverydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.