tips and tricks
565 TopicsJS AI Build‑a‑thon: Wrapping Up an Epic June 2025!
After weeks of building, testing, and learning — we’re officially wrapping up the first-ever JS AI Build-a-thon 🎉. This wasn't your average coding challenge. This was a hands-on journey where JavaScript and TypeScript developers dove deep into real-world AI concepts — from local GenAI prototyping to building intelligent agents and deploying production-ready apps. Whether you joined from the start or hopped on midway, you built something that matters — and that’s worth celebrating. Replay the Journey No worries if you joined late or want to revisit any part of the journey. The JS AI Build-a-thon was designed to let you learn at your own pace, so whether you're starting now or polishing up your final project, here’s your complete quest map: Build-a-thon set up guide: https://aka.ms/JSAIBuildathonSetup Quest 1: 🔧 Build your first GenAI app locally with GitHub Models 👉🏽 https://aka.ms/JSAIBuildathonQuest1 Quest 2: ☁️ Move your AI prototype to Azure AI Foundry 👉🏽 https://aka.ms/JSAIBuildathonQuest Quest 3: 🎨 Add a chat UI using Vite + Lit 👉🏽 https://aka.ms/JSAIBuildathonQuest3 Quest 4: 📄 Enhance your app with RAG (Chat with Your Data) 👉🏽 https://aka.ms/JSAIBuildathonQuest4 Quest 5: 🧠 Add memory and context to your AI app 👉🏽 https://aka.ms/JSAIBuildathonQuest5 Quest 6: ⚙️ Build your first AI Agent using AI Foundry 👉🏽 https://aka.ms/JSAIBuildathonQuest6 Quest 7: 🧩 Equip your agent with tools from an MCP server 👉🏽 https://aka.ms/JSAIBuildathonQuest7 Quest 8: 💬 Ground your agent with real-time search using Bing 👉🏽 https://aka.ms/JSAIBuildathonQuest8 Quest 9: 🚀 Build a real-world AI project with full-stack templates 👉🏽 https://aka.ms/JSAIBuildathonQuest9 Link to our space in the AI Discord Community: https://aka.ms/JSAIonDiscord Project Submission Guidelines 📌 Quest 9 is where it all comes together. Participants chose a problem, picked a template, customized it, submitted it, and rallied their community for support! 🏅 Claim Your Badge! Whether you completed select quests or went all the way, we celebrate your learning. If you participated in the June 2025 JS AI Build-a-thon, make sure to Submit the Participation Form to receive your participation badge recognizing your commitment to upskilling in AI with JavaScript/ TypeScript. What’s Next? We’re not done. In fact, we’re just getting started. We’re already cooking up JS AI Build-a-thon v2, which will introduce: Running everything locally with Foundry Local Real-world RAG with vector databases Advanced agent patterns with remote MCPs And much more based on your feedback Want to shape what comes next? Drop your ideas in the participation form and in our Discord. In the meantime, add these resources to your JavaScript + AI Dev Pack: 🔗 Microsoft for JavaScript developers 📚 Generative AI for Beginners with JavaScript Wrap-Up This build-a-thon showed what’s possible when developers are empowered to learn by doing. You didn’t just follow tutorials — you shipped features, connected services, and created working AI experiences. We can’t wait to see what you build next. 👉 Bookmark the repo 👉 Join the community on Join the Azure AI Foundry Discord Server! 👉 Stay building Until next time — keep coding, keep shipping!Quest 9: I want to use a ready-made template
Building robust, scalable AI apps is tough, especially when you want to move fast, follow best practices, and avoid being bogged down by endless setup and configuration. In this quest, you’ll discover how to accelerate your journey from prototype to production by leveraging ready-made templates and modern cloud tools. Say goodbye to decision fatigue and hello to streamlined, industry-approved workflows you can make your own. 👉 Want to catch up on the full program or grab more quests? https://aka.ms/JSAIBuildathon 💬 Got questions or want to hang with other builders? Join us on Discord — head to the #js-ai-build-a-thon channel. 🚀 What You’ll Build A fully functional AI application deployed on Azure, customized to solve a real problem that matters to you. A codebase powered by a production-grade template, complete with all the necessary infrastructure-as-code, deployment scripts, and best practices already baked in. Your own proof-of-concept or MVP, ready to scale or show off to the world. 🛠️ What You Need ✅ GitHub account ✅ Visual Studio Code ✅ Node.js ✅ Azure subscription (free trials and student credits available) ✅ Azure Developer CLI (azd) ✅ The curiosity to solve a meaningful problem! 🧩 Concepts You’ll Explore Azure Developer CLI (azd) Learn how azd, the developer-first command-line tool, simplifies authentication, setup, deployment, and teardown for Azure apps. With intuitive commands like azd up and azd deploy, you can go from zero to running in the cloud no deep cloud expertise required. Production-Ready Templates Explore a gallery of customizable templates designed to get your app up and running fast. These templates aren’t just “hello world” they feature scalable architectures, sample code, and reusable infrastructure assets to launch everything from chatbots to RAG apps to full-stack solutions. Infrastructure as Code (IaC) See how every template bundle configuration files and scripts to automatically provision the cloud resources you need. You’ll get a taste of how top teams ship secure, repeatable, and maintainable systems without manually clicking through Azure dashboards. Best Practices by Default Templates incorporate industry best practices for code structure, deployment, and scalability. You’ll spend less time researching how to “do it right” and more time customizing your application to fit your unique use case. Customization for Real-World Problems Pick a template and make it yours! Whether you’re building a copilot, a chat-enabled app, or a serverless API, you’ll learn how to tweak the frontend, swap out backend logic, connect your own data sources, and shape the solution to solve a real-world problem you care about. 🌟 Bonus Resources Here are some additional resources to help you learn more about the Azure Developer CLI (azd) and the templates available: Kickstart JS/TS projects with azd Templates Kickstart your JavaScript projects with azd on YouTube ⏭️ What next? With production-ready templates and the Azure Developer CLI at your side, you’re ready to move from “just an idea” to a deployable, scalable solution without reinventing the wheel. Start with the right foundation, customize with confidence, and ship your next AI app like a pro! Once you have your project done, ensure you submit to GitHub - Azure-Samples/JS-AI-Build-a-thonPainful behavior of "slash" ("/") in chat prompts
I know about the /commands (/reset, /help, ...) in Copilot powered applications where hitting "/" triggers auto-completion suggestions. Here we are talking about Copilot chat (Teams or Web app for instance) Each time you hit the "/" key, it pops up a menu inviting you to upload files, preventing you from going on typing until you hit the <esc> key. That's too disruptive. That would be ok if the upload menu what acting like a suggestion -- You may select with arrow keys if you wish, or just go on typing if you just need a "/" in your prompts. Please consider disabling this "feature" or I at least enhancing it so the upload menu is not modal and gets dismissed when you go on typing. Comments positive or negative are welcome, thumbs up too 😉746Views31likes19CommentsDoes Copilot generate a clickable downlink link?
Hi, Community: I have been experimenting with the Notebooks feature within Copilot. My goal is to get Copilot to generate a file based on data from a referenced file. Copilot does all of this beautifully. My challenge is: when I prompt Copilot to provide a download link, it provides me a URL to a file (for example: 📂 sandbox:/mnt/data/Exchange%20rates%20to%20be%20populated%20-%20USD%20only.xlsx). The URL is not clickable. I've also tried different ways to get to the file with no success. Has anyone had success downloading a file from Copilot from Notebooks? For reference, this is the feature I am using: Thanks! Van110Views0likes2CommentsReasoning Models in Microsoft Copilot: Who’s Doing the Thinking?
In addition to AmeliaHernandez wonderful article "Copilot Chat vsus. Microsoft 365 Copilot What's the difference?". Microsoft Copilot is not a single product – it’s a modular ecosystem powered by a range of different language models (LLMs), depending on where, how, and with which license you're using it. In this post, we’ll walk through which reasoning models are used in Copilot, what they’re best suited for, and why it matters for IT pros, administrators, and business users alike. 🧠 What Is a “Reasoning Model”? Unlike standard text generators, reasoning models are designed to: Combine information from multiple sources Apply logical steps and draw conclusions Respond with contextual awareness Handle structured and unstructured tasks effectively The model chosen by Microsoft impacts: Quality and depth of the output Speed and resource efficiency Ability to analyze or automate tasks Data access and compliance safeguards 🚦 Current Model Usage in Microsoft Copilot 🧑💻 Copilot Chat (for individual, business & enterprise users – without Copilot for M365 add-on) ➡️ Model: OpenAI o1 Used in: The free Copilot version at https://copilot.microsoft.com Microsoft 365 Business & Enterprise plans (Standard use without Copilot add-on) Edge and Bing integration Also powers the “Think Deeper” feature in Copilot Chat This model offers solid everyday performance and decent contextual understanding but is limited in reasoning depth and enterprise grounding. 💼 Microsoft 365 Copilot ➡️ Model: OpenAI o4 Available in Word, Excel, Outlook, Teams, PowerPoint, and more. Leverages Microsoft Graph grounding to access user and org data Provides significantly deeper reasoning and structured task handling Ideal for knowledge work, document creation, planning, and more This is Microsoft’s most advanced reasoning model in production 🧪 Copilot Agents e.g., Analyst, Research, Planning tools ➡️ Model: OpenAI o3-mini New agent-based Copilot features use this lightweight model: Optimized for structured, data-driven tasks Supports recurring analysis and planning workflows Can access Graph and recent content, but with focused scope 🔐 Security Copilot (Microsoft Defender etc.) ➡️ Model stack includes: OpenAI GPT-4 Phi-3 (optimized for factual accuracy and speed) Microsoft’s internal Threat Intelligence RAG (Retrieval-Augmented Generation) for contextual enrichment Security Copilot is tailored for security analysts and SOC teams to provide actionable insights, natural language summarization, and risk reasoning. ⚙️ Copilot Studio & Power Platform Copilot ➡️ Uses a combination of: Azure AI Services OpenAI models o1–o4, depending on use case Custom GPTs (via Copilot Studio) Logical reasoning layers and connectors to Dataverse & business apps These solutions are ideal for custom workflows, low-code automation, and industry-specific copilots built by organizations themselves. 📌 Why This Matters 🔍 Microsoft doesn’t use a one-size-fits-all model – it uses the right model for the job. 🧩 The model you get depends on your license, use case, and environment. 🛡 Copilot for M365 (o4) provides strongest contextual reasoning, while lighter models like o1 and o3-mini power more general or task-specific use. Knowing what’s under the hood helps you: Set realistic expectations for your users and leadership Understand licensing impact on capabilities Optimize prompts and workflows for better output Stay compliant by knowing when and how data is accessed 💡 Pro Tip: If you're only using Copilot Chat (o1) via Edge or M365 Business Standard, you might notice less nuanced responses. To unlock full enterprise value, Copilot for Microsoft 365 (with o4) is the model to aim for – especially when working across Teams, SharePoint, Outlook, and OneDrive with secure, compliant data access. Do you have real-world experiences or feedback with these models? Let’s connect in the comments!Solved403Views5likes10CommentsWhat's difference creating Agent from Copilot page vs from Copilot Studio -> Copilot for M365?
Hello, I am learning about Copilot and was very confused by these two different ways to do it. My understanding is both are "Declarative Agents" which lets the Microsoft 365 Copilot do the most heavy lifting. Method 1. First way is to go to Copilot page and clicking 'Create an Agent' w3 Method 2: Going to Copilot Studio -> Agents -> Copilot for Microsoft 365 -> New Agent (Couldn't find a screenshot) Q1. Anyway, first, I created an Agent using the first Method 1 above, and now I see it on the Copilot page under 'Agents' section. However, when I go to Copilot Studio -> Agents -> Copilot for Microsoft 365, I don't see that Agent there. Is this normal and intended? Q2. Is an Agent created using the Method 1 only available to people who have Copilot license? (as long as they are shared; I see options are only me, anyone in the organization, and specific users in the organization) Q3. Could you please confirm agents created using either way above are both "Declarative Agents"? Sorry for the newbie questions in advance... I took the course MS-4010 and reviewed several posts but still confusing...383Views2likes3CommentsCreate an SOP with screenshots from a meeting recording
MS Copilot can prepare notes from a transcript, but it cannot take relevant screenshots from a meeting's recording (video). It does not accept MP4 files at all. I was expecting this functionality to be available, but it is not. There are some websites and tools available on the Internet that claim to help with this, but I am not comfortable using them as I do not want to compromise my company's data. Is there any other Microsoft tool available that can help with this? Please note that it needs to create a step-by-step SOP from a video recording, providing a description of each step along with respective screenshots. Kindly help!52Views0likes1CommentWhat the hack is a "Microsoft 365 Copilot Bizchat"?
I am taking a training course on learn.microsoft and this word "Microsoft 365 Copilot Bizchat" just came out of nowhere... I went few slides/pages of the training course and even googled it but there is no definition or clarification of it either sigh... What is that124Views1like4Comments