Dynamic Mandatory Fields
In a SharePoint library, I have folders which are = a. Admin b. Events c. Furniture and Moves d. Janitorial and Maintenance e. Parking and Transportation f. Shipping and Receiving g. Supplies and Equipment h. Waste and Recycling I have Meta data across the library whose data type are all choices and are: a. Document Type = Contract, Financial, planning b. Building = Gym, Garage, Heating c. Asset Category = Office, Playground d. Fiscal Year = FY23, FY24, FY25, FY26, FY27 e. Vendor = Maple Leaf, Canadian Tire, Home Depot f. Status = Active, Pending, Not Active g. Retention Label = 3 years, 5 years h. Service Type = Admin, Events, Furniture and Moves, Janitorial and Maintenance, Parking and Transportation, Shipping and Receiving, Supplies and Equipment, Waste and Recycling Service Type and Retention Label are mandatory fields, with the Rule below for all the files in the various folders: IF Folder Name = Admin, then Service Type = Admin and Retention Label = 5 years; the mandatory fields should be Document Type, Status and Fiscal Year IF Folder Name = Events, then Service Type = Events and Retention Label = 3 years; the mandatory fields should be Document Type, Status and Fiscal Year, Building and Vendor IF Folder Name = Furniture and Moves, then Service Type = Furniture and Moves and Retention Label = 3 years; the mandatory fields should be Document Type, Status and Building IF Folder Name = Janitorial and Maintenance, then Service Type = Janitorial and Maintenance and Retention Label = 3 years; the mandatory fields should be Document Type, Status and Fiscal Year IF Folder Name = Parking and Transportation, then Service Type = Parking and Transportation and Retention Label = 3 years; the mandatory fields should be Document Type, Status and Fiscal Year IF Folder Name = Shipping and Receiving, then Service Type = Shipping and Receiving and Retention Label = 3 years; the mandatory fields should be Document Type, Status IF Folder Name = Supplies and Equipment, then Service Type = Supplies and Equipment and Retention Label = 3 years; the mandatory fields should be Document Type, Status and Fiscal Year IF Folder Name = Waste and Recycling, then Service Type = Waste and Recycling and Retention Label = 3 years; the mandatory fields should be Document Type, Status and Vendor I have used Column Default Value Settings for SharePoint to display Auto-Display the Service Type and Retention Label, but I cannot seem to perform the conditional mandatory fields using Validations setting for the other requirements. Please help
Launching DIY Data Control for Nonprofits
I want to create a library of open-source resources that helps self-taught IT champions in nonprofit organisations build fully governed, secure shared data systems. I have plenty of ideas about how to do this, but before I press ahead, I want to listen to the people I hope to support to ground those ideas in reality. For my first project, I want to draw on part of the Microsoft ecosystem, which provides some useful tools for safely building your own data systems: Microsoft Learn: Microsoft provides a wealth of free learning resources. I use them a lot and they are as good as other resources that I have happily paid for. The two big barriers to using them are finding time and working out where to start. The Common Data Model for Nonprofits: This is an open-source resource from Microsoft, it describes the tables of data that a nonprofit organisation needs, and the relationships between them. Once you add your own data it becomes a shared functioning model of your organisation. Role based column and row level security: This is the revolutionary part that lets you safely replace scattered spreadsheets with a single, comprehensive, shared model of your organisation. It lets you decide exactly which parts of which records people are allowed to see or change, so everyone who interacts with your shared model can only see and change the things that they need to. Model-driven Power Apps and Power BI: Once you have a detailed model of your organisation with governance baked into it, adding tools to interact with it becomes straightforward. Both Model-driven Power Apps and Power BI can understand the structure of your organisation from your model, and they will respect the governance policies that you built into it. In theory, these should provide all the tools you need to bring together scattered data in siloed spreadsheets into a single, secure, auditable shared source of truth. But there are gaps, and I want to find out what guides, signposts and tools would be needed to bridge them. Later I will want to explore the features that you could add with Copilot Studio if you wanted to. Once you have established a clearly defined, precisely secured data environment, Copilot Studio can provide the tools to develop and deploy AI agents safely. But for now, I will focus on the foundations of well-defined, well-governed, accessible data. If you have any thoughts about this project then I would love to hear them, and I’d especially like to find out what pain-points there are that I can target. So please do get in touch. Patrick Killeen Head and Heart CIC email address removed for privacy reasons https://www.headandheart.info/ This work is released under the MIT Licence and is available at https://github.com/head-and-heart-cic/public/blob/main/in-practice/2600707-launching-diy-data-control-for-nonprofits/README.md
Outlook Classic - Crashes When Drafting with Copilot in RDS environment
Hi all, I'm interested to see whether anyone else is experiencing this issue, particularly in an RDS environment. We have a number of users who have paid-for Microsoft 365 Copilot licences, including the integration within Office applications such as Outlook, Word and Excel. In Outlook Classic running on our Windows Server 2019 RDS environment, Copilot no longer works correctly. When a user presses Alt + I to Draft with Copilot, or clicks the Copilot pencil icon within the body of an email, and then enters a prompt, Copilot displays "Writing your email" and the blue progress bar starts moving from left to right. At that point it freezes, Outlook crashes, and closes. In some cases Outlook will automatically reopen after the crash. The Copilot integration appears to work fine in Excel and Word. Is anyone else running Outlook Classic in a Windows Server 2019 RDS environment with Microsoft 365 Copilot licences? I would be interested to know if you have experienced the same issue. I've tried repairing and reinstalling Office apps, and always ensure they are fully up to date. Thanks.Creating Autonomous Teams Agents Using OpenClaw, MCP, and Azure Container Apps
The one shift that changes everything For two years, "AI coding" meant autocomplete. A suggestion appears in your editor, you hit tab, you move on. The agent only existed while you were actively typing. That is no longer the only model. A new category of tools runs asynchronously and autonomously: you message the agent from a chat window — Teams, Slack, Telegram — describe what you want, and walk away. The agent plans, writes code, runs tests, deploys, and hands you back a result. Some of them never sleep: they hold a persistent memory, load their own skills, and act on a schedule without being prompted. This is the world of OpenClaw, Hermes Agent, and the other long-running autonomous agents that exploded across developer culture in 2026. OpenClaw alone crossed 377,000 GitHub stars and millions of active users, becoming — for a while — the most-starred project on GitHub. You install it with one line, connect a channel, and start delegating from your phone. The workflow moves from pair programming to delegation and review. The interactive copilot asks, "What should I write next?" The autonomous agent asks, "What do you need done?" And that reframing is exactly why three questions now keep architects awake: Is it safe? You are handing a self-driving process the ability to run shell commands, touch files, and call APIs. One community report memorably described these agents as a teammate in your group chat who happens to have root access to your codebase. That is not a compliment — it is a threat model. Can it fit into real multi-agent work? A single agent is a demo. Production is a fleet — specialists that hand off to each other with gates in between. Is it flexible and controllable? Autonomy is thrilling right up until the agent packages last week's stale files into this week's deliverable, or loops forever on a failing test. This post answers all three — not with hand-waving, but with a working reference implementation you can clone today: CustomCodingAgentApp in the Multi-AI-Agents-Cloud-Native repo, an "Agentic Prototype Factory" that turns a plain-language idea into a tested, live-on-Azure prototype without leaving the chat window. A product manager types "Build a BBC-style World Cup feature page" in Microsoft Teams. Minutes later they get back a running HTTPS URL and a downloadable source ZIP. Under the hood, five specialized OpenClaw agents powered by Microsoft Foundry gpt-5.5 collaborate in a shared sandbox, run real pytest/Jest suites, and ship the result to Azure Container Apps — all orchestrated behind a Model Context Protocol (MCP) service so any MCP client (GitHub Copilot, Claude, the Teams bot) can drive it. We'll build up to that architecture in the order you should learn it. Part 1 — Long-running autonomous agents, and their two hard problems What actually makes them different A traditional chatbot is text in, text out. It waits for you. An autonomous agent inverts that: Property Traditional chatbot Long-running autonomous agent Execution Responds to a prompt Acts proactively (a "heartbeat" wakes it on a schedule) Scope Words Files, shell, browser, APIs — the real machine Memory This session only Persistent across sessions Interface A web box Any chat channel + the terminal Autonomy None Plans and takes multi-step action on its own Architecturally, OpenClaw is not a library you import — it's a runtime. A single long-running process (the Gateway) bridges your messaging channels to an LLM backend, keeps sessions alive, queues work in ordered lanes, and drives the classic agent loop: call the model → execute the tool calls it asks for → feed results back → repeat until done. There is no rigid step-planner; the model itself steers. That is what makes it feel magical — and what makes it hard to contain. That containment problem has two faces. Hard problem #1 — Security The same properties that make an autonomous agent useful make it dangerous. Full system access + proactive execution + a 32,000-server tool ecosystem is a large, self-driving attack surface. OpenClaw's own short history is the cautionary tale: a critical one-click remote-code-execution CVE early in its life, hundreds of malicious community "skills" discovered on its marketplace, and tens of thousands of gateways found exposed on the open internet. None of this means "don't use autonomous agents." It means: never run one with ambient credentials on a machine you care about. The agent belongs in a box with a hard wall around it. Hard problem #2 — Persistence and continuity Real agent work is long. Refactoring a codebase, researching across dozens of pages, building-testing-deploying an app — these take minutes to hours, far past a single request/response. So the runtime needs durable sessions, a place to keep state, and a workspace that survives across steps. But a persistent workspace that is reused creates its own hazard: state leakage. Files from yesterday's task can contaminate — or get shipped inside — today's result. Continuity and cleanliness pull in opposite directions, and you have to engineer the tension out. One agent is a demo; production is a fleet A single monolithic agent asked to "gather requirements, write the code, test it, deploy it, and package it" will do all four mediocrely and blur the boundaries between them. The production pattern is orchestrator-worker: specialized agents, each with one job, handing off to the next through explicit gates. OpenClaw supports exactly this — it can spawn sub-agents and even dispatch external coding harnesses, acting as a meta-orchestrator rather than a single model. The open question is never whether to go multi-agent; it's where the seams and the guardrails go. The answer to "is it safe?": put the agent in a microVM If the agent needs root to be useful, then give it root — inside a disposable microVM, not on your host. In 2026 there are several credible ways to do this: Kata Containers on AKS — each pod gets its own lightweight VM boundary and guest kernel. Hyperlight Wasm — per-call, snapshot-restored Wasm microVMs for running LLM-generated code. Azure Container Apps dynamic sessions — prewarmed, Hyper-V-isolated sandboxes that start in milliseconds, scale to thousands, and are purpose-built for "secure execution of custom code" and "running LLM-generated scripts." That last one — the ACA sandbox — is the sweet spot for a chat-driven agent factory: strong isolation without you operating a Kubernetes cluster, and an exec API to run commands inside the box. It's what the reference implementation uses. Part 2 — Putting OpenClaw into the ACA sandbox Here is where the repo stops being a diagram and becomes running code. The Agentic Prototype Factory decomposes the "idea → live app" job into five specialized OpenClaw agents that run in sequence, all inside the sandbox: requirements → coding → testing → deployment → save Each is addressable as its own model target on the OpenClaw gateway's OpenAI-compatible API: model value Routes to openclaw / openclaw/default Default agent openclaw/requirements-agent Requirement Agent openclaw/coding-agent Coding Agent openclaw/testing-agent Testing Agent openclaw/deployment-agent Deployment Agent openclaw/save-agent Save & download Agent Control, not vibes: review gates with feedback loops Autonomy without gates is how you get an agent that confidently deploys a broken app. The orchestrator wires the five agents into a graph with hard, bounded gates: Every knob is explicit and lives in server.py: _MAX_TEST_ROUNDS = 3, _MAX_DEPLOY_REVIEW = 2, _DEPLOY_POLL_ATTEMPTS = 12, _DEPLOY_POLL_DELAY_S = 20. The Testing Agent must end each turn with a literal TESTS_PASSED / TESTS_FAILED verdict; the orchestrator won't declare success until it HTTP-checks the deployed URL and inspects the response body — because a ResourceNotFound can happily return an HTTP 200. That is what "flexible and controllable" looks like in practice: the LLM drives creatively inside a deterministic state machine. The deterministic pre-run wipe (solving state leakage) Because the sandbox is reused across runs (fast, cheap), the orchestrator does something disciplined before every run: it wipes all lingering agent workspaces. Stale files from a previous task can never leak into — or be packaged as — the new result. This is the engineered answer to Hard Problem #2. Working with the sandbox's limits, not against them The ACA sandbox exec API is hard-capped at ~120 seconds — shorter than a cold az acr build plus az containerapp create. A naive agent would time out and report failure. The clever bit: those commands finish server-side on Azure even after the client exec disconnects. So deployment is split in two: deploy-build <dir> <app> — installs the deploy helpers, writes a tight .dockerignore, and kicks off the ACR build tagged <app>:latest. If the client drops at ~120s, the image still lands in ACR. deploy-finish <app> — idempotent, polled up to 12×. It reports STILL_BUILDING until the image exists, then fires a --no-wait containerapp create, and finally returns DEPLOYED_URL=https://<fqdn>. This is the single most important lesson of the whole sample: an autonomous agent doesn't need a longer timeout — it needs to understand the durability semantics of the platform it runs on. Part 3 — MCP, and why its security is the whole ballgame The five-agent workflow is powerful, but it would be a silo if the only way to reach it were a bespoke API. Instead, the repo wraps the entire orchestration as a Model Context Protocol (MCP) service (acamcp_node) exposed over streamable HTTP at /mcp, with a tiny, legible tool surface: MCP tool What it does generate_prototype Run the full five-agent workflow end to end run_agent Invoke a single named agent check_gateway_health Liveness / readiness of the OpenClaw gateway The payoff is enormous: any MCP client can now drive the factory — GitHub Copilot, Claude, or the Teams bot we're about to meet. One protocol, many front-ends. But MCP is not just an integration convenience — it's a control plane, and every MCP tool is a privileged capability. In an ecosystem with 32,000+ community servers, "just add an MCP server" is a supply-chain decision. A tool call is code execution by another name. So the security posture has to be deliberate. Here is how the reference implementation hardens it — and the principles are portable to any MCP deployment: Auth in front of the protocol. The MCP ingress sits behind basic auth (MCP_BASIC_AUTH_PASSWORD); the gateway itself requires the gateway token as a bearer credential (Authorization: Bearer <token>). No anonymous tool calls. A tiny, named allowlist — not a blank check. The gateway routes only to six explicit model targets. There is no "run arbitrary agent" escape hatch; the routing table is the allowlist. No secrets in the workload. There are no model API keys anywhere in the running containers — model access is brokered entirely through Entra ID managed identities. The gateway token is stored as a Kubernetes secret and never baked into an image. Private by default. The gateway's OpenAI-compatible endpoint is operator-level access — it stays on private ingress, with TLS and authentication added before anything is ever exposed publicly. Least privilege at the identity layer. The gateway is granted exactly the Foundry roles it needs (Cognitive Services User / Cognitive Services OpenAI User) on the Foundry resource — nothing more. The takeaway for MCP is the same as for the agent itself: treat the protocol as a doorway, and put a guard on the door. Authentication, an explicit allowlist, private ingress, and brokered identity turn MCP from an open blast radius into a governed control plane. Part 4 — The complete solution: Teams + MCP on ACA + OpenClaw on the ACA sandbox Now assemble the three deployable components into one loop: The request lifecycle, end to end A PM sends one sentence in Teams. The teamsbot_app bot — acting as an MCP client via mcpClient.ts — opens an MCP handshake and calls generate_prototype. The MCP service on ACA (acamcp_node) runs the orchestrator: pre-run wipe, then requirements → coding → testing. The OpenClaw gateway in the ACA sandbox (acasbxapp_node) executes each agent, talking to Foundry gpt-5.5 through a managed identity — no keys in the box. Real pytest + Jest suites run inside the sandbox. Fail → loop back (bounded). Pass → deploy. Deployment uses the build + poll split to survive the ~120s exec cap; the app lands in Azure Container Apps and is health-checked body-aware at its live URL. The Save Agent produces an authenticated ZIP download URL. The bot streams each agent's progress back into the Teams thread and returns the running HTTPS URL + source ZIP — optionally auto-opening the project in VS Code Insiders. How the architecture answers the three questions The question How this solution answers it Is it safe? The autonomous agent runs in a Hyper-V-isolated ACA sandbox, not on anyone's laptop. No model keys in the workload — Entra ID managed identity brokers Foundry. MCP behind basic auth; gateway behind a bearer token on private ingress; token as a secret, never in an image. A deterministic pre-run wipe removes cross-run leakage. Does it fit multi-agent work? It is a multi-agent system — five specialist OpenClaw agents with A2A hand-offs and review gates — and because it's exposed via MCP, any client (Copilot, Claude, Teams) can orchestrate it. Is it flexible and controllable? Creativity lives inside a deterministic state machine: explicit TESTS_PASSED/FAILED verdicts, bounded retry loops (_MAX_TEST_ROUNDS, _MAX_DEPLOY_REVIEW), body-aware health checks, and a human approving in the Teams thread. Deploy it yourself The repo ships scripts for all three tiers (the gateway uses the platform's managed identity to reach Foundry — no key handling, no image rebuild): # 1) OpenClaw gateway + the 5 agents (acasbxapp_node) cd acasbxapp_node cp .env.example .env # gateway token, Foundry endpoint, sandbox ids ./scripts/build-openclaw-image.sh # build + push the OpenClaw image to ACR ./scripts/deploy-aks-gateway.sh # grant Foundry roles + deploy # 2) MCP service (acamcp_node) cd ../acamcp_node cp .env.example .env # ACR + cluster; gateway token read from ../acasbxapp_node/.env ./scripts/build-images.sh # build + push the MCP image ./scripts/deploy-aks.sh # secret + manifests to the openclaw namespace ./scripts/smoke-check.sh # verify the MCP handshake # 3) Teams bot (teamsbot_app) — Node.js/TypeScript MCP client cd ../teamsbot_app # configure + run per the folder README, then sideload the Teams app package The reference implementation targets Azure (ACA + AKS) — the OpenClaw gateway and MCP service run as containers, and the code-execution sandbox uses the ACA dynamic-sessions exec API. Keep the gateway on private ingress and add TLS before any public exposure. Final thought Strip away the World Cup demo and a reusable pattern remains — a blueprint for running any long-running autonomous agent in the enterprise: A message-driven agent (OpenClaw / Hermes) + a microVM sandbox (Azure Container Apps dynamic sessions) + an MCP control plane with auth + enterprise identity (Entra ID managed identity) + a human surface (Microsoft Teams). The autonomy that made these agents go viral is the same autonomy that makes security teams nervous. You don't resolve that tension by slowing the agent down — you resolve it by giving it a box with a hard wall, a control plane with a guard on the door, an identity instead of a secret, and a human in the loop. Do that, and "your PM types a sentence, Azure ships an app" stops being a scary demo and becomes something you can actually put in production. Clone it, break it, harden it further: kinfey/Multi-AI-Agents-Cloud-Native → code/CustomCodingAgentApp The chat window is the new terminal. Let's make it a safe one.Copilot, Microsoft 365 & Power Platform Community call
💡 Copilot, Microsoft 365 & Power Platform 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 16th of July we'll have following agenda: Copilot prompt of the week CommunityDays.org update Microsoft 365 Maturity model PnP Framework and Core SDK extension PnP PowerShell Script samples Copilot pro dev samples Power Platform samples Sandeep PS (KLA) - Your SharePoint Sites Shouldn’t Be This Hard to Reach - Introducing My Sites Hub John Liu (Rapid Circle) - How to Vibe-SharePoint right now 📅 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!Microsoft Power Platform community call - July 2026
💡 Power Platform monthly community call focuses on different extensibility options for builders, makers and developers within the Power Platform. Typically demos are from our awesome community members who showcase the art of possible within the Power Platform capabilities. 👏 Looking to catch up on the latest news and updates, including cool community demos, this call is for you! 📅 On 17th of June we'll have following agenda: Power Platform Updates & Events Latest on Power Platform samples John Liu - How to easily to convert markdown documents to PDF with Power Automate Ian Tweedie - Your First GitHub Repo for Power Platform (Without Becoming a Dev) April Dunnam - Hands-on with Copilot Agent Academy 📅 Download recurrent invite from https://aka.ms/powerplatformcommunitycall 📞 & 📺 Join the Microsoft Teams meeting live at https://aka.ms/PowerPlatformMonthlyCall 💡 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 365 & Power Platform community YouTube channel at https://aka.ms/community/videos Microsoft 365 & Power Platform samples from Microsoft and community - https://aka.ms/community/samples Microsoft 365 & Power Platform community details - https://aka.ms/community/homeCopilot, Microsoft 365 & Power Platform product updates call
💡Copilot, 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 14th of July we'll have following agenda: News and updates from Microsoft Together mode group photo Reshmee Auckloo - Multi Agent using Agents Toolkit to find and manage volunteering opportunities Chris McNulty – Building a Holidays and Birthdays Web Part with SPFx Marc Windle & Steve Pucelik - Latest updates on the SharePoint Embedded 📞 & 📺 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!Copilot on Edge Android InPrivate Now Requires Sign‑In — Guest Mode No Longer Accessible
Hello, I’m experiencing an issue when trying to use Copilot on the web while browsing in InPrivate mode on Microsoft Edge for Android. Until recently, I was able to open Copilot and start a guest conversation without signing in. This allowed me to keep separate chats easily. Starting today, whenever I open the Copilot website in an InPrivate tab, I immediately get a pop‑up screen that says: > Sign in to Copilot > Upload files, use Voice without limits, and make Copilot yours with memory across conversations. It then gives me three sign‑in options: Microsoft, Apple, and Google. None of these let me continue as a guest, and there is no “Maybe later” or “Continue without signing in” option anymore. Problem I am no longer able to access Copilot as a guest. The sign‑in screen appears every time, and I cannot bypass it. It seems like guest access has been removed, at least on Edge Android InPrivate. Expected Behavior Previously, Copilot allowed free guest access without requiring an account login. I would like to continue using Copilot in this way, especially for keeping conversations separate. Actual Behavior Copilot forces a sign‑in screen and does not allow guest access at all. Questions 1. Has guest access to Copilot been officially removed? 2. Is this change intentional or a temporary bug? 3. Can the previous behavior be restored so users can chat without signing in? Scenario Summary - Service: Copilot - Issue: Unable to open Copilot without signing in - Result: Copilot shows the “Sign in to Copilot” screen and blocks guest access - Device: Microsoft Edge (Android), InPrivate mode Any clarification or fix would be appreciated. Thank you.SharePoint Showcase: How Microsoft uses Copilot in SharePoint, and how you can get started
For this month's SharePoint showcase, we're zooming in on AI skills in Sharepoint and real Microsoft use cases for Copilot in SharePoint. We're also introducing a new "Product Drops" standing section to recap all the new GA functionality across the platform each month. As always, would love to hear from you in the comments. Let's get into it!
