Ep 529: Microsoft Build Updates: 5 new Copilot AI updates and how to use them

Topics Covered in This Episode:

1. GitHub Copilot's Autonomous Coding Partner Update
2. Copilot Tuning for Enterprise Customization
3. Introducing Agent Foundry on Azure
4. Multi-Agent Orchestration in Copilot Studio
5. Computer Use Automation in Copilot
6. MCP Native Support in Microsoft Systems

Keywords:

Microsoft Build 2025, AI updates, Copilot AI updates, GitHub Copilot, GitHub Copilot coding agent, Autonomous coding partner, Visual Studio Code, Multimodal understanding, Natural language prompts, MCP protocol, Model context protocol, Anthropic, Microsoft 365 Copilot, Business leaders, Copilot tuning, Organization's internal data, Low code model tuning, Task specific agents, Secure service boundary, Azure, Agent foundry, AI agent playground, Enterprise grade AI agents, Grok, Elon Musk, Microsoft Azure, Agent to agent protocol, A to A, Multi agent orchestration, Copilot Studio, Agents collaboration, Agentic memory, Automated validation tools, Computer use in Copilot, Desktop applications, Repetitive tasks, MCP native support, Windows 11, Future of work, Third party applications, Agentic web, Security and access controls.

Podcast Transcript

Jordan Wilson [00:00:16]:
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 a hundred pages long. It was 80 some pages. Mainly of AI updates announced at Microsoft build twenty twenty five. 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 Copilot AI updates that I think are going to be very helpful for everyday business leaders. So you don't want to waste your time. Just stick with me for the next, I don't know, twenty five or thirty minutes.

Jordan Wilson [00:01:08]:
And I'll tell you what's new, why it's important, and how you're gonna use it to transform potentially your business. What's going on y'all? My name is Jordan Wilson and I'm the host and welcome to everyday AI. This is your daily live stream podcast and free daily newsletter, helping us all not just keep up with AI, but how we can use it to get ahead to grow our companies and our careers. If that's what you're trying to do, you're in the right place. It starts here with the podcast and the livestream. But if you really wanna leverage it and put it to work for you, you need to go to our website at youreverydayai.com. Once there, please go sign up for the free daily newsletter. So not only do we recap, the live stream and podcast, so some of the most important takeaways from today's episode in that newsletter, but we also keep you up to date with everything else that's going on in the world of AI, in the business world.

Jordan Wilson [00:02:01]:
Right? So that's where you actually go and leverage it. And while you're there on our website, you can go check out by category more than 530 episodes. Go watch the videos. Go listen to expert interviews from the world's smartest people in AI, all available for free on our website. Alright. If you came here for the AI news, we'll put that in the newsletter. Alright. We already have enough to cover just with the AI news from the Microsoft Build twenty twenty five conference.

Jordan Wilson [00:02:30]:
And, thanks for joining live stream audience. Happy Tuesday to you too, Jackie, joining from LinkedIn. Michelle and doctor Harvey Castro, big bogey face and crew on the YouTube machine. Thanks for tuning in. I wanna know what are you most excited for out of this Microsoft build conference? Are you using Microsoft three sixty five Copilot? I always like to know what is our audience using? What are you, excited for? But I'm gonna go ahead and give you the five things right now. Okay? The five new Copilot AI updates that I think are the best to save you time. Alright? And stick around, and I'll explain each one. But I'm not gonna make you wait any longer.

Jordan Wilson [00:03:12]:
So number one, I think it is the GitHub, the GitHub Copilot coding agent updates, two, Copilot tuning for Microsoft three sixty five, three would be the agent foundry, four would be multi agent orchestration inside Copilot Studio, Five would be co sorry, computer use in Copilot. 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 three sixty five, the agent foundry, four, multi agent orchestration in Copilot studio, and five, computer use in Copilot. Alright. Let's get straight into it.

Jordan Wilson [00:04:00]:
Alright. 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. Alright. So, some of the bullet point here, for the new updates. So GitHub Copilot has now evolved into an agentic autonomous AI coding partner. It is embedded directly inside GitHub, and it functions inside visual code or sorry, visual studio code as well.

Jordan Wilson [00:04:37]:
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 a product mock up and just being like, yo, go build this for me.

Jordan Wilson [00:05:18]:
Pretty 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 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? 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 you know, kind of like debugging. So now it's different.

Jordan Wilson [00:05:58]:
So now Microsoft is really trying to, position, you know, get hub 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, 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 codex, 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.

Jordan Wilson [00:06:42]:
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 you know, what Microsoft is trying to do with it. They're not trying to turn it into a 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 gonna talk about this a little more, is also now it 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.

Jordan Wilson [00:07:33]:
Kinda 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 4. So that's the other thing. Right? And not just talking about GitHub Copilot, but with, Microsoft in general, with Microsoft three sixty five Copilot. It's a little tricky. Right? It's a little tricky to to understand when these things are gonna be GA or generally available.

Jordan Wilson [00:08:09]:
So right now, general availability is, pegged for June fourth of this year for enterprise customers and pro plus customers. Alright. Big update number two is Copilot tuning. Alright. This one's excited. Alright. But it's not available for everyone right away. You have to have 5,000, Copilot licenses or a Microsoft account team contact to take advantage of this.

Jordan Wilson [00:08:38]:
But I like this. So let's talk about what the heck copilot tuning is. So this is now a version of low code model tuning using your organization's internal data and your workflows. So whereas right now and I think a lot of people in very early reactions to Copilot tuning are more talking about, you know, brand voice. Right? And, you know, oh, let's let's have responses, you know, use our brand language. And, yes, that's technically one thing you can do with Copilot tuning, but it's about much more than that. It's really about tuning, the Copilot 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.

Jordan Wilson [00:09:29]:
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 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 task specific agents without writing code, and this is no data science required. So, you know, tuning is fully guided and accessible.

Jordan Wilson [00:10:13]:
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, etcetera. Also, all of the data and the agents operate inside Microsoft three sixty five's secure service boundary. Also, Microsoft does not use this. This is important because this is what people are gonna be asking. Right? Microsoft says they do not use this customer data to train their foundation model.

Jordan Wilson [00:10:56]:
So a lot of companies, you know, have been hesitant, you know, in years past to essentially hand over the keys, you you know, the keys of the castle, so to speak, or your company's data, which I've always just been like, y'all, like, 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 wanna, you know, 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. Right? But you know, Microsoft does say when you're using this co pilot tuning, they're not using, the customer data to train their models.

Jordan Wilson [00:11:40]:
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, 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.

Jordan Wilson [00:12:19]:
There's there's way too, you know, it's too slow, too slow an engine. I would have liked to see Microsoft roll this out to maybe organizations with 500 or a thousand Copilot licenses. You you know, put to put this out to hey. You gotta have 5,000. That's usually just your pretty big enterprise companies. Right. Or if you have a Microsoft account team contact. So, we'll see, you, you know, Fred here.

Jordan Wilson [00:12:51]:
Good one, Fred. I like a good joke in the morning. Fred says that he's only 4 thousand nine hundred and ninety nine licenses short. Yeah. I'm I'm right there, like 4900 and 98, Fred. So, yeah, I I I would like to see them roll this out, to to smaller organizations. Right, if they wanna make this product better, this Copilot tuning, which, again, this is 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.

Jordan Wilson [00:13:24]:
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, within Microsoft three sixty five 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 gonna be very many organizations, unfortunately, taking advantage of this. So, I think a misstep here from 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 Titanic's. They're big, they're slow. They're not agile.

Jordan Wilson [00:14:14]:
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. Alright. 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 2,000 to 11,000 models.

Jordan Wilson [00:15:02]:
So we're talking about different models from and some of these are new. So Grok, as an example, is new, you know, x AI CEO. Or I don't know if he's technically the CEO anymore, what he calls himself, but Elon Musk joined, Microsoft CEO, Satya Nadella, to talk a little bit, about the agent foundry and now having GROC three, available inside Microsoft's new agent foundry as well as GROC 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 four one. 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.

Jordan Wilson [00:15:55]:
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, you know, high code or pro code tools as well as those low code, offerings as well inside Copilot Studio. This also adds enterprise grade security features, including intra 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.

Jordan Wilson [00:16:52]:
I can't believe it took AI for all the big companies to, like, kumbaya together. Right? Because now inside the agent foundry from Microsoft, you have support for Google's a to a or agent to agent protocol that allows agents to talk to each other, as well as anthropics, kind of open, model context protocol or MCP. So like I said, how this works and I'll I'll do an 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, right, your agents to be able to speak to other platforms outside in this example of Microsoft's agent foundry. And and what this means, it's it's big. Right? Yes. It's 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.

Jordan Wilson [00:17:57]:
Right? But I think just as important as all those other things is the agent to agent or a to a, protocol as well as the MCP, the model, protects sorry. The model context protocol. Joe is saying, good morning all. Loving this build, coverage. Hope we have a Copilot 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 Copilot, episode.

Jordan Wilson [00:18:29]:
So here we go. Glad to have you join us live. Alright. 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, you know, 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. So, you you know, which I don't know if this is one of those, you you know, 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 Copilot's, multi agent orchestration inside of Copilot Studio.

Jordan Wilson [00:19:13]:
So now it supports multiple agents working together as a team with native support, like we said, for a to a, and MCP to collaborate and divide test. 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 gonna 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 said. But, I mean, sounds super futuristic and exciting. We'll see once it's, you know, generally available and once people are using this, how this works. So what can you use this for? I mean, my gosh.

Jordan Wilson [00:20:01]:
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 the the old adage or the saying that if you're 1% off, right, eventually, you're gonna be completely off course. Right? That's when a a single Hewitt is 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 gonna be much further off base.

Jordan Wilson [00:20:48]:
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 gonna say the same thing for for Google and, you you know, OpenAI as well. And this is more of a word of caution to people out there, especially early adopters, you know, the, AI leaders out there listening, to this podcast. You have to take extreme care when working in multi agent, environment. So, I actually 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 care, occurrence where I'm just literally sick and can't talk, right, which isn't, very often. Had a great show, recently.

Jordan Wilson [00:21:44]:
I'm I'm trying to I'm trying 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 four seventy one. If you wanna go listen to that, with, Babak from Cognizant, the CTO of AI at Cognizant. We talked about it in, in episode four seventy one inside multi agent AI, rethinking enterprise decisions. That one's essential listening, especially as we talk about multi agent orchestration.

Jordan Wilson [00:22:22]:
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. You know, 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.

Jordan Wilson [00:22:59]:
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 a two a from Google and the model context protocol from Anthropics. 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.

Jordan Wilson [00:24:03]:
Alright. 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 gonna be a big one. Customer supports, data entry.

Jordan Wilson [00:24:45]:
Right? Anything that is uber repetitive, mundane, and is fairly simple. Right? Hey. Open, this PDF of an invoice. We're gonna 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 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 that's the reality.

Jordan Wilson [00:25:27]:
Their ever evolving relationship, with OpenAI. But it does have access to reasoning, reasoning models. So models that can think, right, that can plan ahead, that can, you know, 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 three sixty five 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, Copilot studio messages, then you should be, you should have availability for computer use. And it is currently live for qualified enterprise customers under the program.

Jordan Wilson [00:26:29]:
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.

Jordan Wilson [00:27:04]:
So if you want that number six, just go ahead and comment for our livestream audience. Just comment more or I can wrap it up. But, as you guys decide if you wanna see one more or not, I will show you all, 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 co pilots, the paid version on the web, which I know lot, 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 $3.65 version of Copilot, right, for your business.

Jordan Wilson [00:27:45]:
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 and your work is, you know, has Microsoft three sixty five, you're not gonna see this similar interface. But if it doesn't or if you're using a personal account or, Copilot Pro, you will see this. So it is more of a, ChatGPT esque, or Gemini esque layout. But if you go into Copilot and you click on action okay. So this is actually the computer using agent is live.

Jordan Wilson [00:28:22]:
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 of wave, of wave two. But they did announce, 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.

Jordan Wilson [00:29:00]:
And, you you know, it 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 wanna do any of those things. So it a little unintuitive, but you don't actually need to use those prebuilt actions.

Jordan Wilson [00:29:38]:
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 everydayai.com and find the, latest five episodes on the episode page. Okay? So I can click go on that. And again, for our podcast audience, I am just using the, $20 a month Copilot 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 OpenAI 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.

Jordan Wilson [00:30:37]:
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 your everyday ai.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's it notices that at the top of the screen, there's a big, kind of button there that says episodes. So it's going and it's clicking there.

Jordan Wilson [00:31:13]:
Right? What's funny here is it blurs out all the faces, from the, from our, website, 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 wanna 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.

Jordan Wilson [00:31:47]:
Alright. So let's see. Did anyone want number six? Alright. Marie said it. Joe said it. Fred said it. Alright. Couple of people wanted it.

Jordan Wilson [00:31:55]:
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, MCP native support. So here's why this is big. So it's now model context protocol for agents access to tool system and enterprise data. 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.

Jordan Wilson [00:32:32]:
It's not just in Copilot Studio, with the multi agents. It is literally supported almost everywhere, including GitHub Copilot, Azure, Dynamics, Copilot Studio, Microsoft three sixty five apps, and even Windows 11. That's why this is huge. MCP is supported by default inside of Windows native MCP supports. 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 assigned code, scope permissions, and vetted registries.

Jordan Wilson [00:33:34]:
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, in Windows after the build twenty twenty five conference. They said that future updates will enforce default security and access controls. And also, this does position MCP as the, 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, there it is gonna be so much easier to work with other third party applications that also support the MCP protocol.

Jordan Wilson [00:34:35]:
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 of their own protocol, as well. And then you have the, you have the Google version with, a to a. I'm I'm trying to remember what, Microsoft's version. I think it was n I l web, is is what it was. Yeah. So n I l web, is kind of, Microsoft's version of this.

Jordan Wilson [00:35:13]:
But what I like here is Microsoft didn't just say, okay. We're using n I l web and 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 o 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. Right? And 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. Right? I can't remember, you know, aside from GenAI and large language models, anytime a protocol like this was so, widely and quickly adopted across huge enterprise organizations. Right? We've seen, you know, Google pick up MCP. We've seen OpenAI pick it up.

Jordan Wilson [00:36:21]:
Now we see Microsoft making it native. So, that's that's just, enormous. Right? So in the future, this does open up a ton of possibilities, inside, you know, Windows 11 and probably Windows 12 and beyond. You you know, in terms of Microsoft opening up, your operating system to other, 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.

Jordan Wilson [00:36:57]:
I would guess this is gonna be this is gonna be a while, because the the security thing is is huge. I'm I like I are I've already seen a lot of, you you know, dark web MCP type, kind of protocols pop up. Right? So people can build these MCP protocols and you can incorporate them, you you know, in various AI applications. And like anything else, there's already been some bad ones out there that are, you know, trying to steal data or do, some malicious things. So, you know, 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. Alright. I hope that was helpful. For those of you that said, oh, like, what else can we do more copilot stuff? Yeah.

Jordan Wilson [00:37:49]:
Well, recently, if you want, go listen to episode four ninety two. So that's when we had, VP of AI agents, Ray Smith, from Microsoft on the show to talk about what's new inside Microsoft Copilot Studio. So I talked about Microsoft Copilot Studio a little bit here. So go listen to episode four ninety two 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 four seventy nine. So if you wanna know more about, you know, how that's changed, go check that out as well. Alright.

Jordan Wilson [00:38:38]:
I think that's a wrap y'all. Alright. So I hope this was helpful as we went over the five, well, actually, six different, Copilot 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 We're gonna be doing the exact same thing tomorrow for Google because, within a couple of hours, Google is going to kick off their IO conference. It is AI week. We're gonna 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.

Jordan Wilson [00:39:24]:
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 secrets. Alright. Please, if this is helpful, repost this on social media, share this with someone. You're gonna be the smartest person in AI when you share this with someone. But also if you're listening on the podcast, we appreciate your support.

Jordan Wilson [00:39:44]:
If you could click follow or subscribe, to the show on Spotify or Apple Podcasts, and if you could leave us a review or rating, 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 IO recap, and I'll see you every day for more everyday AI. Thanks, y'all.