🦾How You Can Leverage:

Microsoft legit just dropped a book’s worth of AI updates on our heads. 

Like…. go check the Build 2025 "Book of News" that looks longer than a Harry Potter book. 

That thang is so full of AI announcements that would take you hours to decode if you tried reading the whole thing yourself.

Don’t worry. We did it for you. 

On today’s show, we highlighted the top 5 (and one more bonus) AI updates. 

Ready for the AI goodies? 

Here’s our hand-picked lineup of what matters. 👇

GitHub Copilot has transformed from coding assistant to autonomous coding partner.

It's embedded directly in GitHub and Visual Studio Code.

But here's the wild part: it's multimodal now. Show it a screenshot of a mockup, and it builds it.

No need to translate visual ideas into code anymore. Just point and say "make this happen."

It also tests, iterates, and refines code automatically while logging all actions transparently into GitHub issues for your team to review, which means you'll never lose track of what it's doing behind the scenes.

What it means:

This ain't your grandma's coding assistant.

We've leveled UP to a full programming PARTNER that actually sees what you're showing it.

Mockups? Screenshots? Just point and say "build this" — BOOM. Done.

The competitive landscape just got nuclear hot. Microsoft's playing in the same sandbox as Google's rumored Jewels programmer and OpenAI's fresh Codex updates, which means the entire coding assistance space is evolving from simple autocomplete tools to fully autonomous development environments that can understand visual inputs and translate them directly into functional code without requiring you to be a technical translator between design and development.

Remember when we had to translate visual ideas into code line by painful line?

Those days are DEAD.

You can now customize Microsoft 365 Copilot with your organization's internal data and workflows.

No coding required.

Zero data science expertise needed.

It's fully guided, accessible, and operates inside Microsoft's secure service boundary where your data stays safe and doesn't get used to train their foundation models.

Microsoft promises they won't use your data to train their foundation models, by the way, which is a relief for all the paranoid security folks who've been blocking AI adoption.

What it means:

Custom AI for EVERYBODY in your company. Well… if you’re a HUGE company at least. 

Finance gets a Copilot that knows your weird accounting quirks.

Legal gets one that speaks legalese fluently.

Marketing gets one that nails your brand voice every single time.

No coding. No data scientists. No expensive consultants lurking around your office for months billing you by the hour while they "implement AI solutions" that nobody actually uses after they leave.

Just your org-specific AI tuned to your exact needs in a way that actually makes sense for how your particular business operates rather than some generic one-size-fits-all approach that ignores all your company's unique processes, terminology, and workflows that have evolved over years of operation.

The catch? Microsoft's gatekeeping this for the big players only — you need 5,000+ Copilot licenses to join the party.

Talk about a missed opportunity! Small and mid-sized businesses would CRUSH this feature since they're not bogged down by corporate red tape and could implement customized AI solutions with the kind of speed and agility that makes enormous enterprises weep with envy.

Agent Foundry is Microsoft's new AI playground with thousands of models to choose from.

We're talking about 2,000 to 11,000 different AI models at your fingertips.

GPT. Claude. Llama. DeepSeek. Even Elon's Grok.

They're all there, complete with a real-time leaderboard showing which models perform best for specific tasks, so you don't have to guess which AI brain is best for which job anymore.

What it means:

Model shopping spree, ACTIVATED.

Pick your fighter from a roster of 11,000 AI models. Need Claude's reasoning chops? Grab it.

Want GPT's creative flair? It's yours.

Curious about Elon's Grok? Why not try it?

This is the first time a major platform has offered this kind of AI model buffet where you can mix and match capabilities from across the entire AI ecosystem instead of being locked into whatever model a single company thought was best for every possible task you might want to accomplish, which we all know is a ridiculous one-size-fits-all approach that ignores the reality that different models excel at different things.

Multiple specialized AI agents can now work together inside Copilot Studio.

One agent drafts a document.

Another creates visuals from that text.

A third schedules meetings about it.

They discover each other, negotiate who does what, and collaborate with proper governance rails so everything stays secure while these digital workers coordinate their efforts behind the scenes.

What it means:

Welcome to the AI Dream Team!

Your own specialized workforce that splits up tasks based on what each AI does best.

One writes. One designs. One schedules. All working together in perfect harmony.

But PROCEED WITH CAUTION.

When multiple agents work together, tiny errors multiply like rabbits. That 1% inaccuracy in one agent becomes a 50% disaster when five agents build on each other's work, creating a cascading failure that gets exponentially worse with each handoff between your digital workers who are blindly trusting that the information they received from their AI colleagues is accurate.

This isn't just "human in the loop" territory — you need EXPERTISE in the loop. People who actually understand the work being done.

Start with simple, well-defined processes. Map out clear handoffs between tasks. Don't try to automate your entire company overnight unless you want to wake up to a smoldering crater where your business used to be.

Remember what Babak from Cognizant warned us about in Episode 471? Multi-agent environments require extreme care. Those words have never been more relevant.

Copilot can now control your computer like a human would.

It clicks buttons.

Types text.

Navigates between applications.

All through natural language instructions.

It adapts to UI changes and handles real tasks across your desktop environment without breaking when a website updates its layout or an application gets a new version with a redesigned interface.

What it means:

The boring stuff is DEAD.

Invoices? Data entry? Copying between apps? Let AI handle that nonsense.

This isn't your father’s RPA with rigid scripts and if/then rules. This is an AI with a BRAIN that adapts to whatever's on your screen.

And the best part? You can try it TODAY if you have Copilot Pro. Just click "Actions" and watch your computer start working without you.

Model Context Protocol (MCP) – originally designed by Anthropic – is now supported across Microsoft's entire ecosystem.

GitHub Copilot. Azure. Dynamics. Copilot Studio. Microsoft 365.

And most importantly: Windows 11.

This standardized protocol lets AI systems communicate seamlessly across platforms, acting like a universal translator for different AI systems that previously couldn't understand each other.

Think of it as APIs for AI agents.

What it means:

This is the UNIVERSAL TRANSLATOR for AI systems.

When Microsoft puts MCP in Windows itself? That's REVOLUTIONARY.

We're not just talking about Microsoft's own tools playing nicely together. We're talking about EVERY AI system that speaks MCP being able to talk to Windows directly.

Why is this massive?

Because before MCP, AI systems were isolated islands like ancient civilizations that developed separately with no way to communicate, share knowledge, or work together on complex problems that required multiple types of expertise. Anthropic made Claude. Microsoft made Copilot. Google made Gemini. 

None of them could effectively communicate or collaborate despite each having unique strengths that could complement the others.

MCP changes everything.