Windows-based Copilot Pro ONLY crashing on loading larger Conversation, other platforms work.
Hi everyone, I'm writing this post with a bit of frustration. I spent quite a few hours waiting and speaking with the Copilot Microsoft Support live, however; they were unable to help after doing the routine fixes like rebooting, re-installing, Repair, and some cache cleaning (they called it a Backend issue) - then they said that here I would find the solution... which I found a little strange, but here goes. I am working on a software project and have been for the past few months, so there has been a lot of activity in the particular Conversation on Copilot, and as of a couple days ago after uploading a screenshot, it froze and had to be restarted - and any time I would try to load that particular Conversation, it would freeze. Its just that one Conversation on a Windows 11 Copilot Pro setup, every other Conversation works on the Windows setup, and on my other devices like my phone, Copilot has no issues at all, even with the Conversation that won't load on the Windows setup. The difficulty for me is that I am somewhat limited to using the Windows Copilot for functionality, so my phone is out, and the Web-based version doesn't load Conversations. This is a pure Copilot Pro setup, not much to do with 365. Please help, thanks in advance.
Feature Suggestion: Personalized Product Alerts via Wishlist and Regional Availability Tracking
It’d be amazing if Copilot could notify users when specific products they care about become available—especially if it could tie in wishlist items and region-based tracking. Imagine being able to tag a graphics card or monitor you’ve had your eye on, and then Copilot lets you know the moment it’s up for order in your area. No more manually checking five different websites every morning. Just one smart alert when the product is available, with all the relevant specs and vendor links. This would save time, cut through the noise, and make Copilot way more proactive. It’s the kind of feature that fits perfectly with how people already use Copilot—so why not take it a step further? If Copilot’s goal is to be truly helpful and intuitive, adding personalized product alerts would be a strong move in the right direction.
Improving Copilot's Causal Reasoning and Command Throughput via Centralized Protocol Layer (EDCA)
Problem Statement Copilot's agentic behavior is confined to pre-defined workflows or embedded tools. Prompt variability leads to semantic drift across sessions. Causal reasoning is weak under user goal ambiguity (e.g., “X + Y + Z triggers unintended output B”). Developer-side cost for scaling model I/O is too high under the current chain-of-thought format. Proposed Architecture: EDCA Central Control Layer (Mediator Core) Acts as routing hub between expression → intention → execution path. Supports fallback chains, multi-path detection, and output anchoring. Protocol-based Expression Parsing User utterances are parsed through a control protocol rather than raw prompts. Enables modular injection of reasoning modules. Agent Proxy Submodules For scalable delegation in C-end scenarios (non-technical users). Acts under a value-aligned behavior sandbox. Results from Experimental Deployment Metric Before (Raw Prompt) After (EDCA Protocol) Throughput (req/min/core) ~120 ~170 Semantic Coherence (avg depth) Moderate Significantly Higher Resource Waste (multi-chain) ~23% conflict ~5% conflict Why This Matters for Copilot Scales beyond pre-defined tools Enhances user trust via stable expression paths Reduces cost via intention compression & fewer back-and-forth calls Enables structured delegation for both B-end and C-end deployment scenarios Call for Feedback This is not a product — this is a thinking protocol. We’d love to hear from Copilot devs, LLM architects, and interaction designers: Where is Copilot heading? How can control layers like EDCA join the ecosystem? Contact: email address removed for privacy reasonsGetting Started with SharePoint Copilot Agents: How to Use, Configure, and Create
Microsoft continues to expand the power of AI across the Microsoft 365 ecosystem, and Copilot in SharePoint is no exception. One of the newest additions to this toolset is SharePoint Copilot Agents—a powerful way to automate content generation, personalize sites, and provide intelligent, task-specific assistance within your SharePoint environment. In this blog post, we’ll walk through: What SharePoint Copilot Agents are How to configure and use them How to create your own custom agents https://dellenny.com/getting-started-with-sharepoint-copilot-agents-how-to-use-configure-and-create/Building on the Future Machine Learning and Copilot The Next Frontier in Application Development
The age of intelligent software is here, and it’s transforming the way we build, interact with, and even think about applications. With the integration of Machine Learning (ML) and AI-powered copilots, developers and architects alike are empowered like never before. But beyond using these tools as productivity boosters, a bigger opportunity lies ahead: building on top of AI and copilots themselves. https://dellenny.com/building-on-the-future-machine-learning-and-copilot-the-next-frontier-in-application-development/Enterprise Data Protection in Microsoft Copilot Enabling AI with Confidence
As organizations embrace the AI-powered productivity revolution, Microsoft Copilot for Microsoft 365 is emerging as a game-changer. By embedding large language models (LLMs) directly into Microsoft 365 apps like Word, Excel, Teams, and Outlook, Copilot helps users draft documents, analyze data, summarize meetings, and automate repetitive tasks. But with great AI power comes great responsibility—especially when enterprise data is involved. How do you ensure that sensitive information isn’t exposed or misused by AI? How can your organization reap the productivity benefits of Copilot while staying compliant with data protection and privacy requirements? In this blog, we’ll explore how Microsoft Copilot safeguards enterprise data and how IT leaders can extend those protections to ensure a secure and trustworthy AI experience. https://dellenny.com/enterprise-data-protection-in-microsoft-copilot-enabling-ai-with-confidence/Seamless Context Retention Between Voice and Text Modes in Copilot
בקשת שיפור: שימור הקשר בין מצב קולי לצ'אט כתוב ב־Copilot מאת: מיכאל, MS MVP (ישראל) נושא: שיחה רציפה והקשר נשמר בין קול לכתב תיוגים: Copilot, VoiceChat, ContextRetention, CrossModeSync, AI usability, Excel integration, MS MVP, User Experience, Productivity, Accessibility Feedback Request: Seamless Context Retention Between Voice and Text Modes in Copilot From: Michael, MS MVP (Israel) Topic: Improve continuity and preserve context when switching between voice and text conversations in Copilot Tags: Copilot, VoiceChat, ContextRetention, CrossModeSync, AI usability, Excel integration, MS MVP, User Experience, Productivity, Accessibility Description: Currently, when transitioning between voice and text modes in Copilot, the ongoing conversation context is lost, resulting in a fresh and disconnected session. This poses challenges for users engaged in technical workflows (e.g., Excel functions, coding steps, formula exploration), where discussion begins in voice and requires visual follow-up in text — yet the system fails to remember what was just discussed. Use Case: A user verbally asks for help creating a complex Excel formula. After several minutes of voice dialog, they switch to text mode to view and refine the formula — only to discover that Copilot no longer remembers the earlier voice interaction, forcing redundant explanation and a break in continuity. Suggested Improvements: Enable persistent conversation memory across modes Automatically bring recent voice summary into the next text session Introduce an intelligent switch that allows users to move from voice to text (and back) with full context preserved Support visual rendering (e.g., formulas, graphs) within voice sessions Value to Users: This improvement would dramatically boost workflow efficiency, reduce friction in technical tasks, and allow users to engage naturally — choosing the mode best suited to their needs without sacrificing consistency. תיאור: בעת מעבר בין שיחה קולית לצ'אט כתוב ב־Copilot, לא נשמר ההקשר הקודם. השיחה מתחילה מחדש, דבר שמפריע במיוחד בשיח טכני בו מבקשים תוכן חזותי (למשל נוסחה או קוד) אחרי שדנים בו בקול. מקרה שימוש: המשתמש שואל בקול איך ליצור נוסחה מורכבת באקסל. לאחר שיחה קולית ארוכה, הוא עובר לצ'אט כדי לראות אותה בכתב — אך מגלה ש־Copilot שכח את השיחה הקודמת. צריך לחזור על הכול מחדש. הצעות לשיפור: שימור הקשר מלא במעבר בין קול לכתב סיכום קולי אוטומטי שיופיע בצ'אט כתוב מעבר חכם בין המצבים תוך שמירת רצף אפשרות להציג תוכן טכני גם בשיחה קולית ערך למשתמשים: חוויית שימוש חכמה, טבעית ורציפה ללא הפרעות. מתאים במיוחד למשתמשים טכניים, אנשי מקצוע, תלמידים וכל מי שעובד באופן דינמי ומעמיק. Feel free to reach out if you'd like to explore this idea further. I’d be happy to help. Best regards, (micky) Avidan Michael Microsoft MVP – OFFICE 365 EXCEL Email: email address removed for privacy reasons Relevant tags: Copilot, VoiceChat, ContextRetention, Excel integration, MS MVP, User Experience, Productivity, Accessibility
What 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 that
