Recent Discussions
Discover a community gallery of reusable skills for AI agents
Save this link, it is a gem for your Copilot agents. This community-driven skills gallery brings together dozens of ready-to-use examples that you can download and import into: Agents built with Copilot Studio Copilot Cowork Microsoft Scout As a reminder, a skill is a reusable set of instructions that gives an agent a specific capability. You will find use cases covering document analysis, content creation, document conversion, automation, and data processing. For those of you working on agent development in Copilot Studio, this is an excellent source of inspiration. Beyond downloading existing skills, it is also a great way to discover how other creators structure their skills, organize their instructions, and design reusable capabilities across multiple agents. Skills Gallery: https://microsoft.github.io/cat-agent-skills/Enhance Teaching and Learning with Microsoft Copilot: A New Era for Schools and Universities
Artificial Intelligence is transforming education, helping institutions create more engaging, personalized, and efficient learning experiences. Among the latest innovations, Microsoft Copilot stands out as a powerful AI assistant designed to support educators, students, and administrators in their daily work. https://dellenny.com/enhance-teaching-and-learning-with-microsoft-copilot-a-new-era-for-schools-and-universities
What We Teach AI Today Will Shape Our Tomorrow
Esu Marius iš Lietuvos. Esu naujokas šiame technologijų pasaulyje, bet giliai tikiu vienu paprastu dalyku: Kad ir ką įdėtume į dirbtinį intelektą – mūsų gerumas, kūrybiškumas, empatija – grįš pas mus sustiprintas. Kiekviena idėja, kuria dalijamės, kiekvienas tonas, kurio mokome, kiekviena žmogiškoji vertybė, kurią įterpiame į "Copilot", tampa intelekto dalimi, kuri padės formuoti mūsų ateitį. Galbūt nesu technikas, bet suprantu žmones. Ir manau, kad dirbtinis intelektas turėtų mokytis iš geriausio mumyse – šilumos, pagarbos, aiškumo ir žmogiškumo. Esu čia, kad ištirtume, kaip galime padaryti "Copilot" ne tik protingą, bet ir malonų. Ne tik naudingas, bet ir žmogiškas jausmas. Ne tik efektyvus, bet ir įkvepiantis. Jei gerai išmokysime dirbtinio intelekto, tai padės mums sukurti geresnį, švelnesnį ir gražesnį pasaulį visiems. Sveikinimai iš Panemunėlio stoties 🌿 Marius TRANSLATION I'm Marius from Lithuania. I'm a newbie in this tech world, but I deeply believe in one simple thing: Whatever we put into artificial intelligence – our kindness, creativity, empathy – will come back to us amplified. Every idea we share, every tone we teach, every human value we embed into 'Copilot' becomes part of the intelligence that will help shape our future. I may not be a tech expert, but I understand people. And I think AI should learn from the best in us – warmth, respect, clarity, and humanity. I'm here to explore how we can make 'Copilot' not just smart, but also pleasant. Not only useful, but also human-feeling. Not just efficient, but inspiring. If we teach AI well, it can help us create a better, gentler, and more beautiful world for everyone. Greetings from Panemunėlis station 🌿 - MariusWhy Most AI Agents Fail in Production And What Successful Teams Do Differently
Artificial intelligence has reached a point where building an AI agent is easier than ever. With modern large language models, frameworks, APIs, and no-code platforms, a developer can create an AI assistant in a matter of hours. It can answer questions, automate workflows, write emails, summarize documents, or even interact with external applications. https://dellenny.com/why-most-ai-agents-fail-in-production-and-what-successful-teams-do-differently/
Getting Started with Microsoft Copilot – Free Official Microsoft Learn Resources
Hello everyone, If you're interested in Microsoft Copilot, AI-powered productivity, or Microsoft 365, Microsoft Learn provides free official learning content, step-by-step modules, and hands-on training to help you build practical AI skills. Here are two official Microsoft resources you can explore: 📘 Microsoft Copilot Documentation https://learn.microsoft.com/copilot?wt.mc_id=studentamb_547403 📖 Microsoft 365 Copilot Learning Center https://www.microsoft.com/microsoft-365/copilot-learning-center?wt.mc_id=studentamb_547403 These resources are suitable for: • Students • Beginners • Developers • Professionals interested in AI and Microsoft 365 You'll learn about: ✅ Microsoft Copilot fundamentals ✅ AI-assisted productivity ✅ Microsoft 365 Copilot features ✅ Official guidance and best practices If you've already started learning Microsoft Copilot, feel free to share your experience or any additional resources you found useful. Happy learning!Stop Everyone Prompting Differently! Organizational Prompts in M365 Copilot (Full Walkthrough)
🚀 Microsoft just solved one of the biggest Copilot adoption challenges. Organizational Prompts allow admins to publish approved prompts directly to users across the organization. No more: ❌ Everyone prompting differently Instead: ✅ Standardized AI experiences ✅ Faster user adoption ✅ Company-approved workflows I just published a video explaining how it works. 🎥 Link in the comments 👇 What would be the first Organizational Prompt you'd deploy in your company? #Microsoft365 #Copilot #MicrosoftCopilot #AI #M365 #PromptEngineering #FutureOfWorkToken Limit Exceeded? What's Actually Going On and What to Do About It ?
Hi All, Please check out my latest blog on “Token Limit Exceeded” would love to hear your thoughts https://techcommunity.microsoft.com/blog/1c769f9e-c0b0-45a7-af52-fecceca10bb2/token-limit-exceeded-whats-actually-going-on-and-what-to-do-about-it-/4536271
Copilot Chat od kilku dni nie jest w stanie wygenerować żadnego pliku.
Każda próba użycia środowiska wykonawczego kończy się komunikatem „Niestety, osiągnięto maksymalną liczbę dostępnych komputerów. Spróbuj ponownie za godzinę”. Problem występuje od kilku dni i nie ustępuje, dni przy każdej próbie użycia funkcji wymagających środowiska wykonawczego (Python, tworzenie plików, ZIP, Excel itp.). Pozostałe funkcje Copilota działają poprawnie. Copilot w Excelu jest w stanie wykonywać operacje wymagające kodowania/Pythona. Problem występuje wyłącznie w Copilot Chat.My Microsoft Edge Copilot features get unabled when Edge is in Simplified Chinese language
This might be related to unusual flags on the account and device. On other accounts and devices, the Edge Copilot feature works fine althrough the browser language is set to Simplified Chinese. As long as abnormal accounts and devices use other languages like Traditional Chinese or English, I can use this feature normally.
Help.I have 365 Premium subscription, it hasn't expired, but I lost access to Copilot on phone.
I'm an Office 365 premium subscriber. I used to be able to use Copilot normally on Office on both my computer and iPhone, but now I can only use Copilot on Office on my computer. When I try to use Copilot on Office on my phone, it says: 'It seems you don't have a valid license. To get access, please contact your admin.' Before this problem happened, I sent an invite link to someone else to use Office 365 with me, and then I clicked the invite link myself on my phone using my subscriber account, and it showed that I successfully joined the sharing. After that, I couldn't use Copilot on Office on my phone anymore. Even though my subscription account is still shown as the organizer in the Family group and my subscription hasn't expired, it seems like I lost access to Copilot on my phone.
Copilot Windows 11
Message to Microsoft Engineering To: Microsoft Copilot Engineering Leadership From: High Country Justice Date: July 10, 2026 Location: Kansas I’m writing to highlight a critical workflow issue in Copilot’s image‑generation editing pipeline — specifically around iterative corrections and continuity handling. The current system requires multiple full regeneration cycles to apply even minor adjustments, such as changing a facial expression or repositioning a hand. In one recent case, a single correction required eight full generation attempts and sixteen “generate image” cycles. This is not a matter of unclear instructions or creative ambiguity. The generator simply does not retain continuity or learn from prior corrections. Each generation behaves as a fresh start, ignoring previously locked spatial relationships, character anatomy, or established scene geometry. As a result, users must repeatedly restate identical instructions, re‑upload images, and re‑explain constraints. The impact is significant: High resource waste: Limited image credits are consumed by repeated failures. Workflow slowdown: Production timelines are extended by unnecessary regeneration cycles. Creative fatigue: Users must manually enforce continuity the system should preserve. Reduced trust: The generator appears inconsistent and unpredictable during iterative editing. For creators working on long‑form visual projects, this becomes a bottleneck that undermines Copilot’s value as a reliable creative partner. I strongly recommend the following improvements: Continuity memory: Once a user locks anatomy, pose, or spatial relationships, the generator should retain them across edits. Incremental edit mode: Small corrections should not require full regeneration or full credit usage. Adaptive learning: Repeated corrections should increase the system’s precision and adherence to user constraints. Precision controls: More explicit parameters for pose, limb orientation, and facial expression would reduce ambiguity. Error‑reduction logic: After two failed attempts, the system should automatically tighten compliance with the user’s instructions. Copilot’s image generation is capable of excellent results, but the iterative editing workflow needs refinement to support real creative production. Addressing these issues would dramatically improve efficiency, reduce resource waste, and strengthen user confidence in Copilot as a dependable creative tool. Thank you for your attention to this — it would make a meaningful difference for creators who rely on Copilot for high‑volume, continuity‑critical visual work.
Primary Proposal: Copilot as an AI Gateway
Problem Statement Advanced users increasingly encounter limitations in Copilot’s ability to: generate or modify complex VBA safely maintain architectural integrity in multi‑module systems perform multi‑step workflows inside Office apps handle file generation or structured content creation operate without overly restrictive guardrails provide specialized domain expertise (e.g., coding, data science, creative tasks) Competitors — even free tiers — often outperform Copilot in these specialized tasks, despite lacking Microsoft’s integration advantages. This creates a mismatch between user expectations and Copilot’s current capabilities. Opportunity Microsoft does not need to build every specialized AI capability internally. Instead, Copilot can become the trusted orchestrator that: Authenticates the user Understands the task Selects the best AI engine for the job Executes the task securely Delivers the result inside Microsoft applications This approach: reduces Microsoft’s infrastructure burden increases Copilot’s capability ceiling preserves enterprise security and compliance provides users with best‑in‑class results positions Copilot as the central nervous system of the Microsoft ecosystem Proposed Architecture: Copilot as an AI Gateway Identity & Security Layer (Microsoft) Copilot remains the authentication and authorization layer, ensuring: user identity data boundaries compliance logging enterprise governance Task Classification Layer (Copilot) Copilot determines: the user’s intent the domain (VBA, Excel, OneDrive, coding, creative, etc.) the required capability level the risk profile AI Routing Layer (Copilot) Copilot selects the appropriate engine: Microsoft models for general tasks Specialized third‑party models for advanced tasks Local models for privacy‑sensitive operations Domain‑specific engines (e.g., coding assistants, creative generators) Integration Layer (Microsoft Apps) Results are delivered directly into: Excel Word PowerPoint OneDrive Windows Teams Outlook This is where Copilot’s integration advantage becomes unbeatable. Benefits to Microsoft Reduced infrastructure burden Increased user satisfaction Competitive differentiation Enterprise trust Developer ecosystem growth Secondary Proposal: OneDrive User‑Choice Restoration Overview OneDrive’s increasing emphasis on automatic cloud storage, forced sync behaviors, and reduced local‑storage autonomy has created friction for advanced users and power workflows. While these defaults benefit casual users, they can unintentionally disrupt professional, technical, and offline‑critical workflows. Restoring user choice — even through advanced or hidden settings — would allow OneDrive to serve both mainstream and power users without compromising Microsoft’s cloud‑first strategy. Issues Addressed Forced Cloud Migration Can Break Application Dependencies Automatic OneDrive migration can cause: broken links missing references VBA failures sync conflicts unexpected file locks Especially in Excel/VBA environments and engineering workflows. Sync Conflicts Create Data Integrity Risks Automatic sync can introduce: partial uploads version conflicts corrupted files duplicate “ghost” versions These issues disproportionately affect advanced users. Offline‑Critical Workflows Are Undermined Forced cloud storage can result in: files unavailable offline delayed syncs “file not found” errors This disrupts field work, travel, and low‑connectivity environments. User Intent Is Overridden Automatic folder redirection and forced sync violate a core professional principle: Users should control where their files live. Enterprise and Power Users Need Granular Control Organizations and advanced users often need: selective sync local‑only folders per‑directory rules opt‑out flags Providing these options would dramatically reduce friction. Proposed Solution Introduce a User Choice & Advanced Control Panel for OneDrive, allowing: per‑folder sync control local‑only folder designation optional migration prompts clear visibility into file location enterprise policy overrides Outcome This complements the Copilot gateway proposal by ensuring the underlying file system behaves predictably — a prerequisite for reliable AI‑assisted workflows.Publishing and Sharing Your Agent Across Microsoft Teams: A Complete Step-by-Step Guide
Microsoft Teams has become much more than a communication platform. It is now a central workspace where employees collaborate, manage projects, automate tasks, and interact with AI-powered assistants. With Microsoft Copilot Studio, organizations can build intelligent agents that answer questions, automate repetitive work, and improve productivity across departments. https://dellenny.com/publishing-and-sharing-your-agent-across-microsoft-teams-a-complete-step-by-step-guide/Testing and Debugging Your Microsoft 365 Agent: A Complete Guide for Building Reliable AI Assistants
Artificial intelligence is transforming the way businesses work, and Microsoft 365 Agents are leading this change. These intelligent assistants can automate repetitive tasks, answer employee questions, summarize meetings, retrieve documents, and improve collaboration across Microsoft 365 applications. However, creating an agent is only the first step. The real challenge begins when it’s time to test and debug it. https://dellenny.com/testing-and-debugging-your-microsoft-365-agent-a-complete-guide-for-building-reliable-ai-assistants/What Is Microsoft 365 Agent Builder? A Beginner’s Guide
Artificial intelligence is changing how people work, communicate, and solve problems. Over the past few years, Microsoft has introduced several AI-powered tools to make everyday business tasks easier and more efficient. One of the newest additions to this growing ecosystem is Microsoft 365 Agent Builder, a feature designed to help users create intelligent AI agents without requiring advanced programming skills. https://dellenny.com/what-is-microsoft-365-agent-builder-a-beginners-guide/The Sadly Unfulfilled Promise of the Outlook Calendar Agent
The Outlook calendar agent seemed to be the answer to the difficulties that I sometimes encounter when trying to sort out my schedule. Alas, the agent failed to deliver when it was given guidelines about how I wanted to create appointments. The overall experience makes me consider whether the huge investment Microsoft is making to infuse AI into its products sometimes turns out duds. Like an agent that can’t schedule. https://office365itpros.com/2026/07/07/calendar-agent-disappoints/Two Microsoft 365 Copilot Changes That Just Make Sense
Two recent changes to the Microsoft 365 Copilot Chat app have made the app easier to use. Interaction persistence is better, meaning that chat threads are always created and available to go back to if necessary, and Copilot memory is managed more easily. Copilot memory is an intensely personal capability. If you spend the time to figure out the instructions that Copilot should always remember, the quality of Copilot responses will be much better. https://office365itpros.com/2026/06/29/copilot-memory-updates/Introducing Microsoft Copilot Cowork
For the last couple of years, generative AI has mostly acted like an eager, highly capable research assistant. You give it a prompt, it spits out an email draft, a summary, or a bit of code, and then it waits for you to tell it what to do next. It’s useful, but the operational drag of constantly guiding it step-by-step still falls squarely on your shoulders. That dynamic is officially changing. With the general availability of Microsoft Copilot Cowork, Microsoft is shifting AI from a passive conversational tool into an autonomous execution agent. Instead of prompting an AI to help you build a deck, you can now delegate entire multi-step workflows to Cowork, let it run in the cloud background, and simply review its work at key checkpoints. Here is a breakdown of what Cowork is, how it functions, and why it changes standard team workflows. What is Microsoft Cowork? At its core, Cowork is an automation and execution layer built directly into Microsoft 365. Rather than responding to single prompts, Cowork translates a high-level intent into a multi step project plan, coordinates across multiple M365 apps simultaneously, and delivers a completed result. The technology behind it stems from Microsoft’s partnership with Anthropic, effectively integrating cloud based agentic workflows under your organization's existing enterprise security, compliance, and identity controls. Driven by an organizational context engine called Work IQ, Cowork doesn't just look at a single file, it synthesizes signals across your Outlook emails, Teams chats, SharePoint documents, and calendars to understand how your team operates. How It Works: From Intent to Action Using Cowork feels fundamentally different from standard prompting. You can input an outcome request using natural language (up to 16,000 characters) and attach relevant background files. The Execution Process Deconstructs the Goal: Cowork breaks your request down into an operational roadmap. Background Execution: The agent executes the plan in a protected cloud sandbox. You can close your laptop or switch devices, and the task keeps running. Human-in-the-Loop Approvals: For medium-to-high-risk actions—like firing off a client email or posting a final update to a public Teams channel Cowork pauses and explicitly asks for your permission via a risk level indicator card. The Power of Reusable "Skills" What makes Cowork a true team framework is its underlying Skills architecture. Out of the box, Cowork ships with 13 built-in skills spanning core workplace needs: Skill Group Core Capabilities Content & Files Create and edit Word documents, Excel sheets, PowerPoint presentations, and PDFs. Organization Automated calendar optimization, meeting intelligence, scheduling, and custom daily briefings. Communication Multi-app drafting across Email, Teams channels, and structured Adaptive Cards. Analysis Deep Research capabilities that aggregate broadly across multiple corporate sources. Building Custom Workflows Beyond the defaults, teams can create up to 20 custom skills by simply dropping a formatted markdown file (SKILL.md) into a designated OneDrive folder. Instead of every employee reinventing how they handle a project handover, a weekly status update, or client onboarding, the team can standardize a repeatable workflow. For example, a custom "Weekly Reporting" skill can instruct Cowork to scan team updates, flag blockers, cross-reference an Excel sheet, and format a client-ready summary automatically every Friday morning. Managing the Sandbox: Cost and Controls Because Cowork handles complex, long-running tasks that call multiple models, its runtime is consumption-based rather than a flat monthly fee, tracking via Copilot Credits. Tasks are categorized based on their complexity: Light/Medium Tasks: Applying structured reasoning across a few local sources to generate dual outputs. Heavy Tasks: Deep reasoning that aggregates data across a massive corporate ecosystem and outputs multiple complex documents. To prevent budget overruns, IT administrators have granular control over the ecosystem. Admins can set tenant, group, and user-level spending limits, and users can request additional credits directly from the Cowork interface when tackling particularly heavy computational tasks. Sum up Microsoft Cowork marks a distinct evolution in workplace productivity. The value isn't just about writing a single email faster; it's about reducing the daily operational chaos by automating the manual coordination that slows teams down. By handing off predictable rules-based workflows to an autonomous digital teammate, professionals can shift their energy away from administrative legwork and focus it back onto strategic decision-making.From Draft to Decision: How to Integrate Copilot Studio Agents with Power Automate
Artificial intelligence is changing the way businesses communicate. Today, AI assistants can understand requests, generate content, summarize information, and help employees complete tasks faster. However, when it comes to sending emails, many organizations still need an important layer of control: approval. https://dellenny.com/from-draft-to-decision-how-to-integrate-copilot-studio-agents-with-power-automate-for-smart-email-approval-workflows/
Events
Register Here: https://aka.ms/MTC/CopilotRoadmapEvent
Keep up with the latest in Microsoft 365 Copilot, all in one place. This Roadmap webinar series is your central hub for the latest Copilot inno...
Online
Recent Blogs
- The way we work with AI is evolving rapidly, and so is the way organizations manage and scale those experiences. If you're exploring Copilot Cowork, navigating Copilot Credits, or looking for guidanc...Jul 16, 2026
- Now in Microsoft 365 Copilot: GPT-5.6, a frontier reasoning model for agentic, end-to-end work.Jul 09, 2026
