Recent Discussions
Copilot + SharePoint Search: How AI Changes Information Discovery
Traditional SharePoint Search has always relied on keywords, filters, and user intuition. While it often assumes users know what they’re looking for and how it’s stored. With the introduction of Microsoft Copilot, SharePoint Search is undergoing a fundamental transformation from keyword-based retrieval to AI-driven information discovery. https://dellenny.com/copilot-sharepoint-search-how-ai-changes-information-discovery/Top NEW Copilot Features in PowerPoint You Need to Try
Creating presentations just got A LOT easier. Microsoft Copilot in PowerPoint is evolving fast, and in my latest video I walk through the newest features that can dramatically improve the way you build and design slides. From AI‑powered slide generation to smarter design guidance, these updates can save you time, boost creativity, and help you deliver presentations that stand out. 🎥 Check out the full video here: 👉 https://youtu.be/WnNF9Eao5XM In the video, I cover: ✨ The latest Copilot capabilities you can start using today ⚡ How to generate complete presentations from a simple prompt 🎨 Tools that enhance visual design and storytelling 💡 Tips to get the most out of Copilot in your workflow If you're using PowerPoint regularly—or want to boost your productivity with AI—this one’s for you. Let me know what feature you find the most helpful! 👇 #Microsoft365 #Copilot #PowerPoint #AI #Productivity #MicrosoftCopilot #PresentationDesign #GiulianoDeLuca
Copilot Agent ALM and Knowledge Source Management Across Environments
Hello everyone, I currently have an agent in a Dev environment and want to deploy it to a second environment (e.g., Test or Prod). During deployment, we need to change the references to the knowledge sources. I’ve seen some articles where environment variables are used within Conversational Boosting topics to handle this, but I wanted to check if there is a supported or recommended way to manage or update knowledge source references from the Knowledge section itself to make them dynamic by using Environment variable? Any guidance or best practices would help. Thankyou.
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腾龙集团负责人《184 88》6 621 09 》 现在主要是两种方式来进行开户，一种是网上开户《 T L 06 8 . C C 》，一种是到公司当面开户。工具原料银行卡q号， 手机号方法/步骤分步阅读1/5无论是选择哪种开户方式，都需要您准备好本人的身份证、 银行卡以及与之关联的手机号 。2/5若您选择前往公司进行当面开户，会有专业的工作人员全程指导您完成开户流 程，操作过程较为简便。3/5若选择网上开户，您需提前准备好证件照片，开户过程中还需进行视频确认 。 4/5同时，您需要填写评估问卷，并签署入市协议等相关文件。5/5开户完成后，公司会进行电话回访，这通电话非常重要，请您务必接听Microsoft 365 Copilot access to planner tasks?
I try to get Microsoft 365 Copilit access to existing planner plans and it's tasks. Read and possibly write access. How would I do that? I only have basic plans that are used in our team. Do I have to convert them (if that is possible at all) to the plans with project manager? I tried Project Manager. That seems to be an enhanced plan. Can I migrate? Does it need additional licenses? DanAdaptive Cards Input.Date shows mm/dd/yyyy on sample site but renders as “September 20, 2017”
Hi all, I’m using Adaptive Cards Input.Date in Microsoft Teams / Copilot Studio (Teams channel). I noticed the same card renders the date differently depending on host: On the Adaptive Cards Inputs sample page, the Due Date field shows mm/dd/yyyy (e.g., 09/20/2017). But when I copy the same JSON into Adaptive Card Designer (and similarly inside Teams), the date shows as a long format (e.g., September 20, 2017). Reference page (shows mm/dd/yyyy): https://adaptivecards-release-ci.azurewebsites.net/samples/Inputs.html I want the date displayed as mm/dd/yyyy in Teams (and ideally allow typing in that format), e.g. 12/20/2025. { "type": "AdaptiveCard", "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.5", "body": [ { "type": "TextBlock", "text": "Due Date" }, { "type": "Input.Date", "id": "DateVal", "value": "2017-09-20" } ] } Questions Is it possible to force the display format of Input.Date to mm/dd/yyyy via Adaptive Card schema/JSON? Or is the display format always controlled by the host (Teams) / locale and cannot be overridden? If it cannot be forced, what’s the recommended workaround in Teams? Example: use Input.Text with validation? or show helper text under the field? Environment: Adaptive Cards in Teams via Copilot Studio. AshishTyped input routing stops working after navigating back to Home topic via Action.Submit (Invoke)
We are building a Copilot Studio agent with this structure: Home topic (menu page with icons) FeatureTopicA / FeatureTopicB / FeatureTopicC / FeatureTopicD Routing based on typed text (e.g. “feature A”, “feature B”) using a topic with trigger “A message is received” Navigation between topics using Action.Submit buttons (Invoke), including a Home / Back icon Observed behavior On a fresh conversation: Typing keywords like feature A or feature B correctly routes to the expected topic. From any feature topic, clicking Home (Action.Submit → Go to Home topic): Home page loads correctly. After returning to Home, typing the same keywords: Routing does not happen The conversation remains on Home The “A message is received” router topic is not triggered Restarting the conversation makes typing work again — until Home is reached via button navigation. We already tried following Dedicated router topic with trigger “A message is received” and highest priority Clearing global/custom variables when returning to Home Forcing routing using global flags Ensuring Home topic has no message trigger and no phrases Using Invoke-only navigation topics Handling text via Recognizer.TriggeringMessage.Text, LastMessage.Text, etc. Core questions Is this expected behavior in Copilot Studio? After navigating to a topic via Action.Submit (Invoke), does that topic “own” subsequent typed messages? What is the recommended pattern if users must be able to: Navigate via Home / Back buttons Then type free-text on the Home page Have typed text routed reliably every time Is the intended design: Home topic acts as the router itself? Or only one global message-received router should exist? Or typed input should not be expected to work reliably after Invoke navigation? We want to allow users to: Use menu buttons for navigation Return to Home Still type free-text commands Have routing work consistently without restarting the conversation Any official guidance, known limitations, or best-practice patterns would be greatly appreciated.
📌 Enhancing Arabic Language Support and Multilingual Intent Accuracy in Microsoft 365 Copilot
Hello Microsoft 365 Copilot Team, I would like to submit a formal proposal requesting an enhancement to the Arabic language experience and the multilingual intent-handling capabilities within Microsoft 365 Copilot. This proposal is based on practical observations across real usage scenarios in environments where users actively switch between Arabic and English for daily productivity tasks. 1. Background and Context Microsoft 365 Copilot has demonstrated exceptional performance in English-language workflows. However, in regions such as the Middle East—where a significant portion of users operate in bilingual environments—there remain notable gaps in language interpretation, UI localization, and multilingual intent retention. Enhancing Arabic language capabilities would meaningfully improve accessibility and align Copilot with the linguistic diversity of Microsoft’s global user base. 2. Observed Challenges in Current Behavior While Copilot excels in English, several recurring issues appear when interacting in Arabic or mixed Arabic–English contexts, including: Limited accuracy in understanding complex Arabic phrasing Reduced reliability when maintaining intent after switching languages within a single prompt Lower naturalness and structure in Arabic text generation when compared to English output Restricted availability of Arabic UI options for Copilot-specific interfaces Occasional misinterpretation of instructions containing blended terminology (Arabic user phrasing + English technical terms) These challenges collectively impact productivity and consistency for users who depend on Arabic as a primary working language. 3. Proposed Enhancements To ensure a more inclusive and reliable multilingual experience, the following improvements are recommended: 3.1 Full Arabic UI Support Across Copilot Surfaces Enable comprehensive Arabic interface options in all Copilot experiences, including Word, Excel, Outlook, Teams, and online applications. 3.2 Improved Arabic Natural Language Processing Enhance Copilot’s ability to understand and process Arabic grammar structures, context, dialectal variations, and hybrid Arabic–English prompts. 3.3 High‑Quality Arabic Text Generation Ensure outputs are clear, natural, and aligned with the stylistic expectations of native Arabic-speaking users. 3.4 Intelligent Multilingual Context Preservation Implement mechanisms that allow Copilot to maintain accurate intent when users transition between languages within the same instruction. 3.5 User‑Controlled Language Preference Settings Provide configurable options enabling users to define preferred input and output languages on a per-application or global basis. 4. Anticipated Benefits Implementing these enhancements is expected to: Improve overall accessibility for Arabic-speaking users Strengthen productivity across bilingual workflows Expand the suitability of Copilot for enterprise and governmental organizations operating in Arabic-speaking regions Increase adoption and satisfaction within a key growth market Align Copilot’s capabilities with diverse global language expectations These improvements would strongly support Microsoft’s broader mission of delivering inclusive, globally relevant AI-driven experiences. 5. Closing Statement Thank you for taking the time to review this proposal. Advancing Arabic language support and strengthening multilingual intent handling would provide significant value to a large and growing segment of Microsoft 365 users. I appreciate your continued commitment to improving the Copilot experience for users worldwide.What’s new in Copilot Chat quality roadmap — December
We’re building Copilot Chat in the open. Every month we publish a quality roadmap that turns what we learn from customer feedback into improvements that make Copilot Chat’s responses more accurate, complete, relevant, and useful. Features shown here are available at no additional cost to users with a qualifying Microsoft 365 or Office 365 license. December Highlights: What’s New and What’s Next? 🚀 Discover What’s New: Try the latest quality features today Microsoft 365 Copilot Library: View your Copilot‑generated images and Pages in one place for easy access. Try this: After creating an image or Page, open the Library and find it. Expandable input box: Expand or collapse to write comfortably without scrolling; view everything at once. Try this: Expand the input box before typing a long, detailed prompt. Temporary chat mode: Ask sensitive questions without saving to memory. Try this: In the upper-right corner, select the drop-down arrow next “Start new chat” icon” and switch to temporary chat and ask, “Give me best practices for this sensitive scenario?” 🚧 What’s Next: Explore upcoming quality features in development Search chats from main navigation: Find past conversations quickly from the navigation pane 📌 Bookmark the monthly Copilot Chat quality roadmap and tell us what you want to see next: https://aka.ms/copilotchatroadmapCopilot — ошибка генерации изображений (Windows/Web)
Здравствуйте, коллеги. При генерации изображений в Copilot результат часто отсутствует, даже при простых промптах. Вместо картинки возвращается пустой ответ. Ожидаемое поведение: Изображение должно быть создано либо должен появиться отчёт о причине сбоя. Фактическое поведение: Изображение не создаётся, возвращается пустой ответ. Предложение: Если изображение не сгенерировано из‑за ошибки, нужно указывать причину и предлагать решение. Например: Если модель не поняла формулировку промпта. Если формулировки вступают в конфликт друг с другом. В таких случаях пользователь должен быть информирован и получить подсказку, как исправить запрос. Это позволит экономить время и использовать Copilot в профессиональных сценарияхNo-Code AI: How Non-Developers Can Build Smart Chatbots with Copilot Studio
In this blog, we’ll explore what no-code AI really means, why smart chatbots matter, and—most importantly—a complete step-by-step guide showing how non-developers can build powerful AI chatbots using Copilot Studio. https://dellenny.com/no-code-ai-how-non-developers-can-build-smart-chatbots-with-copilot-studio-2/
Pitch deck for power platform and copilot
Hey everyone, i am looking for the pitch deck for power platform and copilot, also i would appreciate if anyone can guide me about it.my major concern is about the data governance in the banking industries using copilot, will appreciate if anyone can help me out. thank you.
Proposal: Exploring User-Centric Improvements for Copilot
Please note that I do not speak English, and this text was written with the help of Microsoft Copilot. Hello, I would like to share some feedback about Microsoft 365 Copilot. I believe Copilot could be improved by making it more user‑centric. For example, it would be helpful if Copilot could adapt its responses to reflect the user’s writing style, adjust its tone depending on context, and provide answers that feel more personalized. Such improvements would make Copilot not only more effective but also more natural to use in different scenarios. Is there any plan to explore these kinds of user‑focused enhancements in future updates? Thank you!A Guide to Prompt Coach
Prompt Coach is a ready-to-use Agent built by Microsoft, included with free Copilot (Copilot Chat) and Microsoft 365 Copilot subscriptions. Teaches how to write clear, structured prompts Reviews existing prompts and suggests improvements Creates high-quality prompts tailored to your context Checks prompts for compliance and fairness Note: Prompt Coach is not available with Microsoft personal subscriptions Why use Prompt Coach ⭐ You’re new to Copilot (or any Gen AI tool) and learning how to prompt ⭐ Your prompts aren’t giving the results you want ⭐ You want to create effective prompts on the first try rather than a “trial-and-error” approach ⭐ You want to build skills to write your own high-quality prompts How to access Prompt Coach Go to M365 home and you will find Prompt Coach under the list of Agents. Let's go through a scenario 👤 You are a Recruiter 📝 You’ve written a job description for a new role and want a quality review before publishing ❓ You are not sure what prompt to use 💡 You know the prompt should start with “Analyze the job description” Step 1 - Open Prompt Coach and ask Analyze my prompt and provide feedback on how I could improve it "Analyze the job description" Step 2 - Receive actionable feedback from Prompt Coach Step 3 - Get an improved prompt from Prompt Coach 💡Tweak and refine what Prompt Coach gives you to make the prompt match your voice, context and goals.Propuesta: Modo Profesional para proyectos largos en Microsoft 365 Copilot
PROPUESTA: MODO PROFESIONAL PARA PROYECTOS LARGOS EN MICROSOFT 365 COPILOT Por Matías Hola, soy Matías. Trabajo integrando la IA en proyectos narrativos, técnicos y organizativos de largo plazo. Copilot no es para mí solo un asistente: es una parte fundamental de mi proceso creativo diario. Lo utilizo para estructurar proyectos complejos, escribir documentación extensa, diseñar sistemas e ideas, organizar tareas y manejar múltiples líneas de trabajo continuas. Por eso necesito que Copilot sea estable, persistente y confiable. PROBLEMA REAL Cuando Copilot se usa más allá de consultas breves, aparecen dificultades que afectan directamente la continuidad: Las conversaciones no quedan asociadas a proyectos. El hilo se fragmenta entre dispositivos. Si la ventana se refresca, se pierde parte del contexto. El progreso puede quedar desfasado entre PC, móvil y navegador. No existe un espacio organizado con materiales, notas o memoria persistente. Para un profesional, esto no es un detalle técnico: es una interrupción real del flujo de trabajo. EJEMPLO CONCRETO Mi día laboral combina PC en casa, móvil en el trabajo y laptop en movimiento. Cuando Copilot no sincroniza exactamente los estados entre dispositivos, termino con conversaciones incompletas, respuestas que no reflejan el trabajo previo, necesidad de reexplicar contexto y pérdida de ritmo creativo. Perder ritmo es perder claridad, productividad e incluso decisiones importantes de un proyecto. POR QUÉ ESTO ES NECESARIO Copilot está evolucionando rapidamente. Cada vez más usuarios integramos la IA no como curiosidad, sino como parte del oleoducto productivo. Como cualquier software profesional (IDE, gestor de tareas, editor, etc), Copilot necesita estabilidad, memoria persistente, continuidad y sincronización perfecta. No es un lujo. Es una necesidad diaria. PROPUESTA: MODO PROFESIONAL Un entorno mejorado pensado para proyectos serios y extensos, basado en tres puntos: Persistencia de proyectos Espacios que integren conversaciones, documentos, notas, memoria por proyecto y contexto permanente. Sincronización total Continuidad idéntica entre PC, portátil, navegador y aplicación móvil. Estabilidad reforzada Evitar refrescos automáticos, proteger mensajes largos, prevenir pérdida de contexto y garantizar que el progreso no se fragmente. CIERRE Copilot tiene el potencial de conversión en una herramienta central para la creatividad, la productividad y la construcción de proyectos modernos. Para lograrlo, necesaria ofrecer un entorno estable y persistente, pensado para quienes crean y trabajadores todos los días con IA. Ningún buscamos reemplazar al humano. Buscamos un espacio donde humano e IA puedan convivir de manea fluida, profesional y continua. Gracias por leer. — MatíasUsing Copilot in Loop Components for Seamless Collaboration
Collaboration has evolved dramatically in the modern digital workplace. Teams need intelligent tools to help them think, create, and build ideas together—no matter where they are. Microsoft Loop introduces a new, dynamic way to collaborate with live components that stay updated across apps like Teams, Outlook, and Word for the web. And with Copilot built into these components, teamwork becomes even faster, smarter, and more productive. This blog explores how teams can leverage Copilot in Loop Components to streamline workflows—and walks you through technical steps to get started today. https://dellenny.com/using-copilot-in-loop-components-for-seamless-collaboration/Create custom prompt in AI Builder to read scanned hardcopy receipts
I'm created a custom prompt in AI builder using GPT-5 chat model to read a one-page PDF file. This file contains multiple small receipts from neighborhood supermarkets and restaurants. When I tested the prompt and upload the file in AI builder, it cannot accurately read the invoice number of certain receipts. However, when I tested the Microsoft 365 Copilot using the same prompt, same file and same model (GPT-5 chat), it can accurately return me all the information that I need. May I know why AI Builder is unable to return the same accurate result as M365 Copilot, given that all inputs are the same? What adjustments should I make in AI Builder to accurately return all details from my one-page PDF file? Thank you.How do I automatically convert emails to tasks in Outlook using Copilot?
Definitely our mail inboxes get loaded faster than we can respond creating stress and important action items often get lost in the clutter, so get those emails turned into tasks automatically is not a dream and Microsoft Copilot makes this easier than ever. Making use of AI to streamline email management we can secure hours of productivity every week and ensure nothing slips. https://dellenny.com/how-do-i-automatically-convert-emails-to-tasks-in-outlook-using-copilot/
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