r/CopilotPro

I am restricted to M365 Copilot (Enterprise) due to data sensitivity, so external models are not an option. My primary struggle is the lack of a persistent, dedicated workspace.

In Claude (Projects) or Gemini (Gems), you can define a static, continuously updated set of system instructions and core documents. The model treats this as an isolated foundational truth, allowing it to provide complex logical advice across multiple files while still pulling in fresh web or external data when prompted.

In M365 Copilot, the RAG defaults to indiscriminately scraping recent emails, Teams chats, and random SharePoint files. This dilutes the context completely when trying to do focused, multi-document analytical work.

How are you bypassing this limitation to create a persistent context workspace within the M365 ecosystem?

• Can specific SharePoint folders or hubs be rigidly isolated and prioritized to act as a "Project" base?
• Are you using a specific "anchor document" architecture that Copilot reliably treats as a continuously updating knowledge base / system prompt? If yes, do you keep manually extending it or is there any way to make that automated?
• Is there a way to build a Copilot Studio agent that maintains this strict grounding but still has web-search capabilities for real-time data?

Looking for production-tested architectural workarounds, not basic prompt engineering tips.

I am using M365 Copilot (Enterprise) and constantly hitting memory limits where the model loses the conversational thread during long document analysis.

Our tenant now displays a model selector with "GPT 5.5" under an explicit "OpenAI" label, including a "deeper thoughts" (reasoning) mode.

I have two technical questions pls:

1. Model Authenticity: Are these actually the native OpenAI models running under the hood with identical reasoning capabilities, or is this a Microsoft-specific RAG pipeline just carrying the OpenAI branding?
2. Context Window: Does this "GPT 5.5" mode offer a true context window comparable to native OpenAI/Anthropic models (e.g., 128k+ continuous recall)? The standard Copilot RAG drops data and forgets chat history far too quickly for heavy, multi-document synthesis.

I haven't found any technical facts on the architecture and the actual token limits behind these UI labels so I hope anyone can advise. Thanks!

If the floating Copilot icon in Microsoft 365 keeps getting in the way, there’s a quick way to move it back to the ribbon.

What can you do?:

Move the icon:
Put Copilot back into the ribbon if the floating button is covering content.

Dock or undock:
Dock the icon to shrink it and keep it out of the way, or undock it to bring it back into view.

Switch positions:
Toggle between the bottom‑right floating icon and the ribbon version depending on what works best for your workflow.

It’s a simple set of options, but it makes Copilot much less intrusive if the default placement isn’t working for you.

Watch it in action here: https://www.youtube.com/shorts/oXQQDqvV_ko

Has the floating icon been getting in your way too?

It still will charge me a credit for "something went wrong, please try again" . So Microsoft wants to add 1-2% then just bake in those failures I guess.

Does anyone else get the "something went wrong" response as often as i do?

In this video:
✅ New Microsoft 365 Copilot UI updates
✅ Chat and Cowork experience
✅ Cleaner Copilot navigation
✅ Streamlined interface changes
✅ Tips for using the updated Copilot experience

Hi, a colleague my generated this HTML review on a project problem statement and scope presentation. I want to know if anyone knows how to do it? It had strenghts, weaknesses and what can be improved.

https://preview.redd.it/l9ciy86d8hah1.png?width=2141&format=png&auto=webp&s=639f9079c8b2d0b91356bfe8b582f6c836f59f38

I tried copilot for a grand total of 5 minutes and I immediately hated it, something about the UI feels wrong and off . And I regularly switch between GPT, Perplexity, Claude and Gemini but something about Copilot FEELS bad, like its the AI Slop version of good AI UIs... does anyone else feel this way?

Ever since they stopped letting you pick which GPT model to use I've noticed quality started to dip more and more, later they dropped even the option for think longer now. and Smart went from a good default setting to the only one and it now feels like I'm talking to like the free model in google search, it can't research anything well anymore, it can't even remember the facts from earlier in the same conversation it will randomly change a number or a term somewhere for no reason it's geniunely wild. I have 365 primium that I got from a student 1 year offer I don't believe it's any sort of lower end account it shouldn't some sort of "downgraded access due to low end subscription" issue.

I find myself using free Claud access because it often will answer/solve my issue so much faster I don't even run into the free usage limit, meanwhile copilot is somehow citing wikipedia wrong!

I thought certainly they would include some built in credits as part of the Copilot license, but does it really not include any usage rights built in for Cowork starting July 1?

I am struggling to understand why anyone would want to use Copilot at all now? I agree with others that Cowork is the ONE copilot experience I could actually sell to my end clients, but no way if it's going to be $30+ 100% metered usage.

Serious question - why would any small / medium business go with Copilot Cowork when you can instead go for Claude Cowork for $25 a month and use the Microsoft 365 connectors? Am I missing something here?

We have this as enterprise app. It seems like it forgets contracts i uploaded once or things i already taught it.

Is there a way to give copilot pro a library or knowledgebase? Can I improve it?

It feels like „50 first dates“

Thanks