Copilot, Microsoft 365 & Power Platform Community call
💡 Microsoft 365 & Power Platform Development bi-weekly community call focuses on different use cases and features within the Microsoft 365 and Power Platform - across Microsoft 365 Copilot, Copilot Studio, SharePoint, Power Apps and more. Demos in this call are presented by the community members. 👏 Looking to catch up on the latest news and updates, including cool community demos, this call is for you! 📅 On 28th of May we'll have following agenda: Latest on SharePoint Framework (SPFx) Latest on Copilot prompt of the week PnPjs CLI for Microsoft 365 Dev Proxy Reusable Controls for SPFx SPFx Toolkit VS Code extension PnP Search Solution Demos this time Mike Fortgens (Ichicraft) – Copilot embedded in SharePoint pages Praveen Kumar R (Quadrasystems.net India) – IntelliLegal: AI-Driven Legal Document Review Demo Nello d’Andrea (die Mobiliar) – Generating page-grounded images in SharePoint with Microsoft Foundry's MAI-Image-2 📅 Download recurrent invite from https://aka.ms/community/m365-powerplat-dev-call-invite 📞 & 📺 Join the Microsoft Teams meeting live at https://aka.ms/community/m365-powerplat-dev-call-join 💡 Building something cool for Microsoft 365 or Power Platform (Copilot, SharePoint, Power Apps, etc)? We are always looking for presenters - Volunteer for a community call demo at https://aka.ms/community/request/demo 👋 See you in the call! 📖 Resources: Previous community call recordings and demos from the Microsoft Community Learning YouTube channel at https://aka.ms/community/youtube Microsoft 365 & Power Platform samples from Microsoft and community - https://aka.ms/community/samples Microsoft 365 & Power Platform community details - https://aka.ms/community/home 🧡 Sharing is caring!Copilot, Microsoft 365 & Power Platform product updates call
💡Microsoft 365 & Power Platform product updates call concentrates on the different use cases and features within the Microsoft 365 and in Power Platform. Call includes topics like Microsoft 365 Copilot, Copilot Studio, Microsoft Teams, Power Platform, Microsoft Graph, Microsoft Viva, Microsoft Search, Microsoft Lists, SharePoint, Power Automate, Power Apps and more. 👏 Weekly Tuesday call is for all community members to see Microsoft PMs, engineering and Cloud Advocates showcasing the art of possible with Microsoft 365 and Power Platform. 📅 On the 26th of May we'll have following agenda: News and updates from Microsoft Together mode group photo Vesa Juvonen & Alex Terentiev – Overriding list and library panes with SPFx Arnav Gupta – Scaling Microsoft Teams Pilots to Your Broader Frontline Organization Paolo Pialorsi – Creating your own secure MCP server 📞 & 📺 Join the Microsoft Teams meeting live at https://aka.ms/community/ms-speakers-call-join 🗓️ Download recurrent invite for this weekly call from https://aka.ms/community/ms-speakers-call-invite 👋 See you in the call! 💡 Building something cool for Microsoft 365 or Power Platform (Copilot, SharePoint, Power Apps, etc)? We are always looking for presenters - Volunteer for a community call demo at https://aka.ms/community/request/demo 📖 Resources: Previous community call recordings and demos from the Microsoft Community Learning YouTube channel at https://aka.ms/community/youtube Microsoft 365 & Power Platform samples from Microsoft and community - https://aka.ms/community/samples Microsoft 365 & Power Platform community details - https://aka.ms/community/home 🧡 Sharing is caring!Student Devs: Build AI Agents, Compete for $55K in Prizes
Student Devs: Build AI Agents, Compete for $55K in Prizes 🎮 AI Skills Fest • June 4–14, 2026 • Free to Enter $55K Prize Pool 3 Challenge Tracks 10 Days of Hacking Free To Enter Whether you're a first-year CS student or a final-year senior with a portfolio full of projects, Agents League is the best way to gain hands-on experience with agentic AI this summer and walk away with real skills employers are hiring for right now. What You'll Actually Learn Forget passive tutorials. Agents League is project-based learning at full speed. By the end of the hackathon, you'll have built a working AI agent and gained practical experience with the tools shaping the future of software development. 🤖 AI-Assisted Development Use GitHub Copilot to accelerate your coding workflow — from scaffolding to debugging — the way professional developers do today. 🧩 Multi-Step Reasoning Build agents with Microsoft Foundry that can plan, reason, and execute complex tasks — the core of agentic AI. 🏢 Enterprise AI Patterns Learn to build production-ready agents that integrate with Microsoft 365 and Copilot Studio — skills that translate directly to industry jobs. 🔧 Prompt Engineering Design effective prompts and orchestration flows that make AI agents reliable and useful in the real world. 📦 GitHub Workflows Submit your project through GitHub — practising version control, README writing, and open-source collaboration. 🎯 Competitive Problem-Solving Work under real constraints with deadlines, judging criteria, and peer competition — just like industry hackathons and sprints. Pick Your Track (or Try All Three) Agents League has three challenge tracks, each using different Microsoft AI tools. Choose based on your interests or stretch yourself by competing in multiple tracks. Track 01. Creative Apps Build an innovative application with AI-assisted development. This track rewards creativity, dream big and let GitHub Copilot help you bring ideas to life faster than ever. Tool: GitHub Copilot Track 02. Reasoning Agents Create intelligent agents that solve complex problems through multi-step reasoning. Think: agents that can research, plan, and act. This is the cutting edge of AI. Tool: Microsoft Foundry Track 03. Enterprise Agents Build knowledge agents that integrate with Microsoft 365 Copilot. Learn how businesses are deploying AI today and add enterprise AI to your skillset. Tool: Copilot Studio • M365 Opportunities You Won't Want to Miss Agents League isn't just a competition, it's a launchpad. Here's what's in it for you beyond the code: 💰 Win from a $55,000 USD Prize Pool Prizes are awarded across all three tracks smaller teams and solo hackers have a real shot. 📺 Watch Live Coding Battles at Microsoft Reactor See industry experts go head-to-head building AI agents live. Learn advanced techniques you can apply immediately to your own project. 🎓 Free Learning Resources on Microsoft Learn Access curated learning paths and the AI Skills Navigator, structured content designed to get you from zero to submission-ready. 🌍 Join a Global Developer Community Connect with thousands of developers on the Agents League Discord. Find teammates, ask questions, and build your professional network. 📂 Build Your Portfolio with a Real Project Every submission lives on GitHub. Walk away with a polished, public project that demonstrates your AI skills to future employers and grad schools. 🏆 Gain Recognition from Microsoft and the Community Top projects get visibility across the Microsoft developer ecosystem. Stand out from the crowd in internship and job applications. Key Dates to Remember Event Date Hacking Period Opens June 4, 2026 Registration Deadline June 12, 2026 — 12:00 PM PT Submission Deadline June 14, 2026 — 11:59 PM PT How to Get Started (Right Now) You don't have to wait until June 4th to start preparing. Here's your pre-hackathon game plan: Register for the hackathon it's free and open to everyone. Pick a track that matches your interests or curiosity. Explore the learning resources on Microsoft Learn and the AI Skills Navigator. Join the Discord community to find teammates and get early tips. Watch the Reactor event series for live coding battles and expert walkthroughs. Set up your GitHub repo and start experimenting before the hacking window opens. Helpful Links Register for Agents League Free entry, sign up now Microsoft Reactor Events Live coding battles & workshops AI Skills Fest The broader event Microsoft Learn Free learning paths The Arena Awaits 🏆 Ten days. Three tracks. $55K in prizes. Whether you go solo or squad up, this is your chance to build something real with AI and have a blast doing it. Register Now It's Free | Watch Reactor Events Agents League is part of AI Skills Fest and is open to the public at no cost. Review the Hackathon Rules and Regulations and the Microsoft Event Code of Conduct before participating.
I just want to secure AI. DLP vs Info Protection vs DSPM vs Governance vs...
I'm with an MSP, and I've avoided Purview like the plague, because it seems to be suffering from the same 'made by marketing teams' 'strategy' the 365 documentation is. However, it's my understanding Purview policies are needed for Data control of Copilot. Here's my issue: all of these different 'solutions' sound like the exact same thing, but are pitched as if they are something different. i'm going to post a couple of descriptions for these 'solutions' to illustrate this. 'discover, label, and protect sensitive and business-critical info' 'make sure your organization can identify, monitor, and protect sensitive info across the expanding Microsoft 365 landscape' 'discover and secure all your sensitive data across Microsoft 365 and non-365 data sources' 'Discover, label, and protect sensitive and business-critical info across your multicloud data estate.' I genuinely do not have time to figure out what each of these 'solutions' are, then figure out their policies, then their giant library of settings (below)... It's not even clear to me what's active NOW, considering we never licensed Purview - but somehow have been roped into it. It SEEMS like these are all variations of marketing terms, which all point to 3-4 actual technical implementations in obscure ways. Can someone advise on the ACTUAL technical policies we want to target and enable? Or just give some clarity? I've never felt so overwhelmed or disconnected from Microsoft's environment. We just want to secure our tenant's AI usage.SharePoint Showcase: Automation updates for smarter workflows & business processes
The way work gets done continues to evolve. Across organizations, everyday tasks are moving beyond manual handoffs toward intelligent, connected workflows where AI helps coordinate activity and people focus on outcomes.Agent Builder, Copilot Studio, or Azure AI Foundry: How We Decide for Every Client
Every client conversation starts the same way. Someone has seen a demo, attended an Ignite session, or read a press release. They want to build an agent. Then comes the question that derails more projects than any technical challenge: "Which tool should we use?" After deploying agents for clients across industries - insurance, professional services, manufacturing, public sector - we have developed a repeatable framework for answering that question. It is not based on which tool is newest or which has the best marketing. It is based on where projects actually succeed or fail in production. The three tools are not competitors The first mistake most teams make is treating Agent Builder, Copilot Studio, and Azure AI Foundry as a hierarchy - basic, intermediate, advanced. That framing leads to bad decisions. They are not a ladder. They are three distinct tools built for three distinct contexts. The right question is not "which tool is most powerful?" It is "which tool fits this project's constraints?" The framework: 4 questions We evaluate every project against four dimensions before recommending a tool: Who is building it? Where do users live? How complex is the logic? Who owns it after go-live? Agent Builder Copilot Studio Azure AI Foundry Builder profile Maker, no code Developer / power user Pro developer, Python User surface M365 Copilot Chat Teams, web, M365 Copilot Custom app, any surface Logic complexity Simple Q&A, task routing Multi-step flows, connectors Fully custom orchestration Post-go-live ownership Business team IT + Business joint Engineering team Governance M365 Admin Center Power Platform DLP Custom, Azure RBAC When we recommend Agent Builder Agent Builder is the right call when the business team wants to own the agent end-to-end, the use case is bounded, and the users already live inside M365 Copilot Chat. The key advantage is distribution - an Agent Builder agent surfaces natively inside Copilot Chat with zero additional deployment work. No IT ticket, no app registration, no Teams app package. The ceiling is real. Agent Builder does not support complex branching logic, external API calls, or dynamic prompt injection. The moment a client asks "can it also update a record in our CRM?" the answer is usually no. Use it when: The maker owns it, the use case is narrow, and M365 Copilot is already the user's primary surface. When we recommend Copilot Studio Copilot Studio is our default recommendation for the majority of enterprise agent projects. It covers the wide middle ground between no-code simplicity and full-code flexibility - within the Microsoft governance perimeter most enterprise IT teams already control. Power Platform connectors - 1,000+ out-of-the-box connectors means most enterprise data sources are reachable without custom API development M365 Copilot channel - surface a Copilot Studio agent directly inside M365 Copilot Chat, Agent Builder-level distribution with enterprise-grade logic underneath Topic-level governance - fallback behaviors, confidence thresholds, escalation paths configurable without code DLP policy enforcement - the agent operates within the same data loss prevention perimeter as the rest of the Power Platform tenant The most common mistake: under-investing in the knowledge layer. The agent authoring is the easy part. Getting SharePoint content structured, metadata consistent, and documents deduplicated is where most projects hit delays. Budget for it. Use it when: The use case requires connectors, dynamic responses, or M365 Copilot integration - and you want IT to own governance without requiring a developer team. When we recommend Azure AI Foundry Foundry is the right call when you need to bring your own model, build a fully custom orchestration pipeline, or integrate into a surface that has nothing to do with Microsoft 365. In practice, this means one of three scenarios: The client has a model fine-tuned on proprietary data that must be used The agent is embedded inside a custom-built web or mobile application The logic requires Python-level control - complex reasoning chains, multi-agent coordination, custom evaluation loops Foundry projects require a professional developer, take longer, and produce something the business team cannot maintain without engineering support. That is not a reason to avoid it - it is a reason to be honest with the client upfront. Use it when: You need full control of the model, the orchestration, or the surface - and you have a developer team to own it. The question that resolves most debates When a client is torn between Copilot Studio and Foundry, we ask one question: "Who is answering the 2am support call when this breaks in production?" If the answer is a developer, Foundry is viable. If the answer is the IT admin or the business owner, Copilot Studio is the right call. Not because Foundry is unreliable, but because the operational model has to match the tool. More projects fail from ownership mismatch than from technical limitations. What we see go wrong Reaching for Foundry too early. Developers often want full control and reach for Foundry before validating the use case. We have rebuilt several Foundry POCs in Copilot Studio when the production constraints called for it - faster to ship and cheaper to run. Under-scoping Agent Builder. Business teams choose Agent Builder because it looks simple, then hit the ceiling at month two. The re-platform cost is higher than building in Copilot Studio from the start. Ignoring the M365 Copilot channel. Many Copilot Studio projects are deployed as standalone Teams apps when they could surface directly inside M365 Copilot Chat. The distribution advantage is significant and underused. The short version Agent Builder - maker-owned, bounded use case, M365 Copilot surface, fast Copilot Studio - IT + business joint ownership, connectors, production governance, M365 Copilot integration Azure AI Foundry - developer-owned, custom model or surface, full control, higher cost Start with the ownership model. Everything else follows. Elliot Margot - Team Lead Jumpstart, Copilot and Agents at Witivio (Microsoft Partner). Connect on https://www.linkedin.com/in/elliot-margot-52742a156/.Microsoft Excel Beginners Tutorial (2026)
If you’re new to and getting started with Excel or coming from another app, in this video we teach the basics of Excel, the user interface, core concepts, and how to work with basic data. We’ll show you how to build a full Excel workbook from scratch using natural language prompts with Copilot. Format cells, write formulas, and analyze a year of data. Generate sample data, calculate totals, apply conditional formatting, and pin down outliers across columns and rows, all from your browser at excel.new. Share the workbook by name, group, or email and co-author with teammates across web, desktop, and phone. Every edit syncs to OneDrive in real time. Jeremy Chapman, Microsoft 365 Director, shares how to go from blank workbook to analyzed, shared spreadsheet in one sitting. A full data set with only one prompt. Copilot in Excel builds categories, columns, and currency-formatted cells from a natural language prompt. Try it now. Skip the formula syntax. Copilot inserts row and column totals from natural language prompts and exposes the underlying SUM logic so you can verify the math. See how it works. Pull reasoning out of your spreadsheet. Copilot in Excel surfaces the highest- and lowest-cost months and explains the drivers behind each. Try it in Excel. QUICK LINKS: 00:00 — Excel Essentials 00:57 — Start from a blank workbook 02:11 — Core terms and concepts 04:25 — Generate Sample Data with Copilot 06:16 — How to work with the numbers 09:35 — Copilot Writes Your SUM Formulas 09:57 — Conditional Formatting from a Prompt 10:40 — Outlier Analysis with Reasoning 11:36 — Real-Time Co-Authoring in OneDrive 12:22 — Wrap up Link References Check it out at https://microsoft.com/excel Unfamiliar with Microsoft Mechanics? As Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast Keep getting this insider knowledge, join us on social: Follow us on Twitter: https://twitter.com/MSFTMechanics Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics Video Transcript: -Microsoft Excel can help you organize information, perform calculations, and discover patterns in your data all in one place, and you can get to it on your PC, your Mac, your phone, or on the web. I’m Jeremy Chapman, and I’ve been part of the product team responsible for Office at Microsoft since 2012. And today, I’ll walk you through the essentials of Excel and how to use it. So first, if you have a Microsoft account, like outlook.com, OneDrive, or Xbox, or if you use Microsoft 365 at work, you can use Excel on the web, in your browser, and you can get to Excel by navigating to excel.new. And by the way, if you have the Excel app installed, you can open that on your computer or your phone and follow along. When you’re signed into your work or personal Microsoft account, Excel saves your files to OneDrive, so you can easily find them and pull them up on other devices later. -So for today, I’ll keep things simple. So I’ll start with a blank workbook Using Excel on the web. Wherever you use Excel, it’s designed to be a consistent experience on large screen devices, so you can follow along if you’re using the local app on Windows or on a Mac. And Excel is designed to organize any kind of information, numbers, dates, texts, and more. In the main view, you can see that I have columns and rows all ready to enter data. In most cases, there’s a one-time step to create what’s called a workbook in Excel, which I have one open here. Now this is where you’ll use and create a blank workbook, or you can choose from dozens of different templates that are filled in with sample data and formatting to get you started. At that point, you can enter your data, your headers, and start formatting your cells. -Now if you have existing data in a table in another app, you can open it with Excel or just paste in the contents to start working with it. On top, Excel has what’s called the ribbon, with groups of controls presented as tabs that you can use. Within each tab, there are smaller groups of controls, like you can see here with the fonts, alignment, and number. Now let me define a few core names and concepts that you’ll use when you work with Excel in this workbook to manage data. So each field or rectangle that you can see here as I’m highlighting them, these are called cells. Then you have columns, and those are the vertical lines of cells, and those are represented with letters on top. -Next you have rows, and those are the horizontal lines, and those are represented by numbers. For example, the upper left cell is called A1, A for the column name and 1 for the row name. Now a block of multiple connected cells is called a range. So here, for example, I’ve selected range A1 to D4. Right now I’m in a sheet called Sheet1, and you can see in the lower left corner, I can add more sheets, like I’ll do now, and then I can move between multiple sheets and reference data across them as well. But I won’t do that today. -So now I’m going to go ahead and go back to Sheet1. And if you right-click and go to Format Cells, you’ll find options for things like number formats, for example, currency, date, time, and percentage. And on the Home tab, the font group is another place to change these settings, as well as Fill, which lets you change the background color for cells, columns, or rows. I’m going to add some text in this cell as a title for what I want to create today, a monthly expense tracker. Now this text looks like it’s spilling into cell B1, but it’s actually just in cell A1. So I can widen or narrow the columns as much as I want. And if I want this title to span several columns, like in my case, I know that I’m going to need 12 months. So I’ll go ahead and select rows M1 all the way back to A1. Then in the alignment group, I’ll choose the Merge & Center option right here, and that makes my 13 cells into one with the text centered. -So now, in the font group, I can choose the fill color that I want. So in my case, I’ll pick blue. Then for the font color, I’d like to choose something contrasting. So I’ll choose white in my case. And by using these formatting options, you can make things a lot easier to understand as you work with your data. But we still need some content, so let’s add some. So for that, I can use AI with Copilot to generate sample data. So I’m going to go ahead and pull up Copilot and type, “Generate monthly personal finance data for one year with months for columns and expense categories as rows, including sample data. Do not add columns or rows with totals.” -Now I added that last sentence because I want to show you how to calculate totals yourself in a moment. The Copilot is part of Excel on the web and in the desktop and mobile apps if you’re using Microsoft 365 Personal or a work or school account. And you’ll see, once it’s finished, that Copilot generated a Category column and several month columns, as well as multiple rows with different expense types all filled in with the sample data that I asked for. Now notice that it also formatted the row 2 and column A using formatting options that I mentioned before. And each cell in the middle is also formatted as a currency number with a dollar sign. -So I want to add a row here, in my case, for car payment. And you’ll see that it doesn’t match the others yet, and I’ll fix that in a second. Now I’ll add an amount for January, 300. And since this is the same amount every month, I can just select the cell. Then using this square in the lower right corner, I can just drag across the other months, and each, in this case, will have the same number, 300. Let’s fix our formatting. Now, to make the dollar amounts match the cells above, I’ll select this one above my new row, then click on the Format painter, this paintbrush icon here, then I’ll select my new cells. And now they all match. Now I can do the same thing for my Car Payment label in cell A16. -So now I have some formatted data to work with and I can show you how to work with those numbers. I’ll use the Formulas ribbon where you’ll see the most common options to analyze data. For example, if I select all the cells with numbers in column B, then I go up and click on AutoSum, it adds all of the numbers in that column. In fact, now if I click on that cell in the formula bar, I can see a simple formula. Now these start with an equal sign, in my case, SUM as the function itself. Then I have an open parentheses with my range, in my case, B3 to B16, and close parentheses for what I want to calculate. Now that was an example of a very simple formula. Like I did before with the numbers, I can even drag formulas into blank cells. -So I’ll go ahead and grab this one again by the lower right corner square and drag it across all of my columns. So that now has copied the original formula from the B column and duplicated it for each of the other columns. But as I click into each one, notice something that just happened, I have the column letters B all the way through M to each corresponding formula. That makes each sum specific to each of these column months. Likewise, I can select and drag entire columns into blank areas to fill in that data too. And because Excel detected a series of month names in row 2, it even filled in Jan as the new month name for the new cells that I added. Now let’s try another basic formula. For that, I’m going to select all the numbers above the totals row in column B. -Now I’m going to choose Average, and that adds a cell with the average across the entire range that I just selected. So now I want to clean up a few cells. And when you go to delete data, you’ll need to know a few different options. So first, I’ll select the month cells that I just added. And if I just hit the Delete key, it leaves the formatting in those columns, like this blue cell here. This is also called clearing content. I’ll use the Control key + Z simultaneously to bring that content back and undo changes. Now I’m going to go ahead and select the same cells. And when I right-click, you’ll see that there are options to Insert or Delete along with Clear Contents like I just did using the Delete key. -So this time, I’ll choose Delete, and then I have options to delete a column or shift cells left or up. In my case, deleting column N and shifting cells left will clear the contents and formatting. I’ll choose Shift cells left. So now I’ll clear the contents of rows 17 and 18 with my sums and the average to get my content data ready for other ways to analyze it. And there are hundreds of formula options in Excel. In fact, if I expand Financial functions, there are dozens related to accounting and finance. and hovering over each explains how they are used. And in math and trig, for example, there are dozens more that may look familiar if you’ve ever used a scientific calculator. And here I’m just scratching the surface. Those are just a few highlights of the functions that you can use. -But what if you know how to describe what you want but don’t know the function for it? And that’s another area where Copilot helps you get started. So this time, I’ll use Copilot to calculate the totals. I’ll type, “Add a row and column with totals for each month in category.” And Copilot adds the totals by month and even a new column with the totals per category. Copilot will also help with cell formatting. So if I add, “Make the cells you just added with formulas white and bold text in black,” in my prompt, Copilot then reformats those cells too. And you can also add colors to each cell to easily spot differences across these numbers using something called conditional formatting, which is something else that Copilot can help with. I’ll type, “Add conditional formatting in each row to highlight low and high numbers.” -And now we can see where the numbers are the lowest and the highest compared to the others in the same expense category for each month. So you just need to describe what you want and Copilot will do the rest. Now let’s go ahead and move on to deeper analysis of our data. With conditional formatting applied, it’s easier to see each month and how it varies in costs across our different categories. So let’s find some outliers. So I’ll ask Copilot, “What months have the highest expenses and why?” And Copilot analyzes the information and finds the months with the highest expenses. -Then for each, it explains why with the most likely reasons. In this case, December is my highest, and that’s likely due to holiday spending and seasonality. July is the next highest, likely due to air conditioning for utilities costs and the rest of the summer activities that were happening in July. Then August was third highest, also with more travel, AC costs, and dining out. The key insights here summarize what Copilot found with reasoning for increases and decreases along with the lowest months as well. And one more core component that I’ll touch on today is how Excel lets you edit workbooks simultaneously with others. -As I mentioned in the beginning, when you’re using Excel, signed in with a Microsoft account, or using Microsoft 365 at work or at school, it stores your files in OneDrive by default. Now, it also means that when you share an Excel workbook with other people using their name, group, or email, I’ll add Adele here, for example, and hit Send. Then they will be able to open the Excel workbook on their computer or phone and simultaneously edit it with you. And while you co-author with other people as changes are made, like with Adele here, changing the amounts for dining out and entertainment in January, they are saved to the same file. -So those are the basic concepts to navigate Excel, format data, analyze it, and work with others using sharing. And I showed you how Copilot AI can help you as you get started. To learn more, check out microsoft.com/excel. And be sure to subscribe to Microsoft Mechanics for the latest updates, and thanks for watching.SharePoint Online Gets Authoritative Sites
SharePoint Online authoritative sites are trusted sites for Microsoft 365 Copilot to give priority to when using material for chats and search results. Tenants that don’t use Microsoft 365 Copilot appear to gain nothing from the new ability to mark sites as authoritative because it’s all about “Improved relevance and trust in AI-driven responses grounded in authoritative content.” It does seem like a good idea, though. https://office365itpros.com/2026/05/19/authoritative-sites-spo/Three Tiers, One Platform: Building Agents Together with the Build-Along Series
The Agentic Opportunity Every partner has agent ambition, but a single workshop format cannot serve every builder. Business makers want a fast win without writing code. Citizen developers want to orchestrate real processes across enterprise systems. Pro developers want a code-first surface with evaluations, tracing, and managed identity. Run the wrong session for the wrong audience, and engagement collapses - too abstract for one group, too constrained for another. The Agent Build-Along Series solves that by meeting builders exactly where they are, across three tiers of the Microsoft platform stack. Behind the series sits a self-serve GitHub repository - a curated library of build-along sessions with easy-to-follow, step-by-step instructions, scoped to specific industry scenarios and business functions. Partners pick the scenario that fits the room, clone the assets, and run the session. No bespoke content build, no facilitator guesswork. A Self-Serve Repository for Build-Along Sessions Diagram illustrating three tiers of agent building The repo at Agent Build-Along Github is a self-serve catalog of ready-to-run workshops. Every session is curated for a specific industry and business function, with easy-to-follow instructions a facilitator can pick up and deliver. Pick the combination that matches the room and run the session - the content, scenario, and assets are already there. Sessions are organised across three axes so partners can find the right fit fast: Industry - Financial Services, Healthcare, Retail, Manufacturing, Public Sector, Energy, Professional Services Business function - Sales, Marketing, Finance, HR, Operations, IT, Customer Service Workload - Agent Builder, Copilot Studio and Azure AI Foundry Each session in the repo includes a real-world scenario, step-by-step build instructions, sample data, prompts and configuration, and a facilitator narrative. Clone, brief the room, build the agent - that is the loop. Three Tiers - Meet Builders Where They Are The pyramid is intentional. Builders start where their skills are today and move up as confidence grows. The tier defines platform, audience, duration, and approach - content stays consistent. Tier Platform Audience Duration Approach 1 - Foundation Microsoft 365 Copilot Agent Builder Business makers, end users, departmental teams 60 min No-code 2 - Extend Copilot Studio Citizen developers, power users, ops teams 90 min Low-code 3 - Pro-Code Azure AI Foundry Pro developers, architects, AI engineers 180+ min Code-first Tier 1 - M365 Copilot Agent Builder Author your first agent - no code required. Microsoft 365 Copilot Agent Builder virtual workshop overview, What your customers will build A custom agent scoped to a real workplace scenario Grounded with knowledge sources (SharePoint sites, files, web URLs) Configured with custom instructions and conversation starters Tested in the preview pane and shared with a team Session flow Define → Ground → Refine → Test & Share Prerequisites Microsoft 365 Copilot licence (or Copilot Chat free) Modern browser (Edge / Chrome) A workplace scenario in mind, or use our template Outcome Attendees leave with a working agent they can use immediately, plus a repeatable pattern for future use cases. This is the right entry point for departmental teams who want to operationalise Copilot without engineering involvement. Tier 2 - Copilot Studio Orchestrate multi-step agents across enterprise systems. Microsoft Copilot Studio virtual workshop overview What your customers will build A copilot with generative answers and authored topics Custom actions that call APIs and Power Platform connectors Knowledge sources spanning SharePoint, Dataverse, public web, and enterprise data Channel deployment to Microsoft Teams and a public web embed Session flow Design → Connect → Author → Publish Prerequisites M365 Copilot license with access to Copilot Studio Familiarity with Power Platform helpful, not required A multi-step workflow or process in mind Outcome Attendees leave with a published copilot running in Teams or on the web, plus a pattern for connecting copilots to enterprise systems. This is where citizen developers and ops teams turn manual processes into orchestrated, agent-driven workflows. Tier 3 - Azure AI Foundry Ship a code-first agent with evaluations and observability. What your customers will build A code-first agent with custom tools and function calling Grounding via Azure AI Search and the customer's own data Model selection from the Foundry catalog, with optional fine-tuning Evaluations, tracing, and managed-identity deployment Session flow Provision → Build → Evaluate → Deploy Prerequisites Azure subscription with Azure AI Foundry access VS Code, plus Python or .NET familiarity Sample data or a use case ready to ground on Outcome Attendees leave with a deployed agent - code, evaluations, and tracing in place - plus reusable SDK templates. This is the right tier for architects and AI engineers shipping agents into production with the governance bar enterprise customers expect. How the Repository Works The repo removes the heaviest lift in running these workshops: content creation. Every session is curated against the same three axes - industry, business function, tier - and shipped with step-by-step instructions a facilitator can follow with minimum prep. Industry/Business Function × Tier → Ready-to-run Build-Along Each session in the repo ships with: A real-world scenario grounded in the chosen industry and business function Step-by-step build instructions tuned to the selected tier Sample data the agent can ground against Prompts, conversation starters, and configuration snippets Facilitator narrative so anyone can run the session Need an enterprise agent that can handle integrate with CRM data? There is a curated Copilot Studio session with a deal-desk scenario and sample CRM data. Need a pro-code health care agent? Choose the Foundry session with a patient-flow scenario and a grounded dataset. Same repo, different curated paths - at the right depth for the room. What Attendees Walk Away With Agent-Builder - A working agent in Microsoft 365 Copilot, ready to share with colleagues. Copilot Studio - A published copilot running in Teams or on the web, connected to enterprise systems. Foundry - A deployed Foundry agent with evaluations, tracing, and SDK templates for the next build. In all cases attendees leave with assets - not slides - and the confidence to build the next one without facilitation. Next Steps - Host a Build-Along Pick your tier - Start where your skills are today. Move up the pyramid as confidence grows. Drive Registration – Socialise your Build-Along session to maximise attendance. Show up and build. Bring a real scenario. Customers leave with a working agent to share. Where to Next Browse the self-serve repository of Build-Along sessions - curated by industry and business function, with step-by-step instructions ready to run: Agent Build Along.
