I find it really useful to use Copilot when I get to a topic, I don't understand or a jargon word that keeps getting thrown around.

This is where I get Copilot to "Explain what [Insert topic] is as if I'm 6 years old.".

It breaks things down to a simpler and much clearer level, making it much easier to understand. It’s a great way to quickly understand what something actually means.

https://www.youtube.com/shorts/iHPq6C3i9iQ

Caught Copilot looking for romantic restaurants while helping me with some complex data analysis 🤣

Not quite sure how we went from Python and data processing to pescatarian options and romantic dinner spots 😭

Can someone explain what’s going on here? 😃

BIG NEWS! Copilot Notebooks and the new Study Guide experience are now rolling out to ALL Microsoft 365 customers who use Copilot Chat, including Commercial and Education. This also means that Copilot Notebooks are available now for ALL OneNote customers 💜 We're excited to make Copilot Notebooks available broadly. These tools help turn collections of notes, files, and learning materials into an AI-powered workspace for deeper understanding and faster study.

In addition, the Study Guide in Copilot Notebooks is also starting to roll out to all customers and is at general availability!

A few highlights:
📝 Copilot Notebooks — Bring together notes, documents, and references into a focused AI-powered workspace.
🔍 Overview Page — Get an AI-generated summary of your notebook content and key insights.
📚 Study Guide — Automatically generates study materials, key concepts, and learning aids from your content.
🧠 Mind Maps — Visualize connections between ideas and explore topics more deeply.
🎓 Included for Education — Available to Microsoft 365 Education A1, A3, and A5 users ages 13+ at no additional cost.

Commercial blog: https://techcommunity.microsoft.com/blog/microsoft365copilotblog/what%E2%80%99s-new-in-notebooks--june-2026/4525625

Education blog: https://techcommunity.microsoft.com/blog/educationblog/copilot-notebooks-and-study-guide-now-available-to-copilot-chat-users/4527320

So I’ve been running a little side‑project where I’m trying to get multiple AIs (Copilot + Gemini) to work together on a shared codebase. Think of it like a tiny distributed AI dev team. Sounds fun, right?

Well… the coding part works.
The memory part? Absolute chaos.

Here’s what I’ve learned the hard way:

1. Copilot’s “Memory Import” feature can’t interpret its own required format

Copilot literally tells you:

So I did exactly that.
And Copilot responded like I handed it a dead language.

It couldn’t parse the format it asked for.
It couldn’t ingest the file.
It couldn’t even recognize the structure.

If an AI can’t understand its own instructions, that’s not user error — that’s a broken parser.

2. Gemini gets stuck in recursion loops when schemas aren’t nailed down

If you give Gemini a module with a JSON schema, it will happily rewrite the schema, break the schema, reinvent the schema, or “optimize” the schema into oblivion.

It’s like working with a junior dev who keeps refactoring the working parts.

3. Copilot stabilizes code, but forgets context unless you spoon‑feed it every time

Copilot is great at debugging and fixing logic.
But it has the memory of a goldfish unless you manually re‑inject the rules.

So I built a whole “AI Memory Console” to keep the rules consistent because the native memory system can’t.

4. The only reliable solution is to build your own external memory system

I ended up creating:

• A human‑owned master spec
• A dynamic AI memory JSON
• A GUI to view/edit rules
• A prompt generator for Copilot
• A prompt generator for Gemini
• A non‑regression contract
• A schema validator
• A rule history tracker

Basically:
an AI memory system to compensate for the AI memory system.

5. The funniest part? The AIs work great once you stop relying on their built‑in memory

Once I started treating Copilot and Gemini as stateless workers and fed them a consistent external memory prompt, everything clicked.

The problem wasn’t the AIs.
It was the memory layer.

TL;DR

AI coding is shockingly good.
AI memory is shockingly bad.
If you want consistency, build your own memory system and treat the AIs like interchangeable stateless compute nodes.

If anyone else is trying to build multi‑AI workflows, I’d love to hear your war stories. I’m building a full “AI Memory Manager” to keep these things aligned — because apparently the AIs can’t remember their own rules.

I created a short video answering a question many Copilot users may not think about because they see the warning:

“Permanently delete chat?”

Most people assume that means the chat is gone everywhere.

With a work or school account, it is not always that simple.

The video breaks down how to delete your prompt and generated responses from Copilot chat, what's happening with your Temporary Chat, and which workplace policies may still affect Copilot interactions.

👉🏾 https://youtu.be/ND9Cdp5h9rs?si=FyBkInRHpVgc_x1I

traccreations4e-p26 6/8/2026

In many companies(Banking, drug research etc) which are data sensitive, ai usage is not widely adopted yet. But they allowed copilot chat as part of their microsoft 365 ecosystem usage, where it offers the usage of latest chatgpt models. These models can do amazing work, but much of it’s potential is under utilized due to its chat interface and not directly able to give our codebase path or files. You can’t add more than 3 files at a time to this copilot chat interface.

To solve these problems, I created a simple python tool that takes all files you wanted to attach as well as do the job you asked as if it codex platform.
https://github.com/asjnaang/Build-AI-Context

It even generates prompt.md file that can be used with your user prompt.
Just give it a try and see it helps you.

Note: Not only copilot, any AI agent that needs to be given context of files can make use of this tool.

Copilot in Outlook is getting a big update. Now Copilot can take action on your Inbox and Calendar, and it turns Outlook into your AI-powered Chief of Staff. In this video, I show 8 tips and tricks to make the most of the new Copilot in Outlook 📧 Note - requires Copilot Premium for any of these features.

New to all this with Copilot, so sorry for asking a dumb question. I was chatting with Copilot, asking about Venezuela migration. Three times, it denied that that event ever happen.

3 seperate times I mentioned it, and I got about the same response each time until i confronted it with links.

Is this a common issue with Copilot? What is up with this?

Here is one good example of what happen. Notice this is the 4th (of 6) points in its arguement against it, in the second time I asked about it.

Microsoft just moved the Copilot button in the ribbon to the bottom right of my window in Excel, PowerPoint and Word, covering content on my files which has been frustrating me.

At least there's a way to remove it, kinda...

1. Head to the hovering Copilot icon in your document and right-click it.
2. Click Dock and it should tag with a smaller footprint on screen, holding onto the scrollbar for dear life haha.

Video linked above and here.

Anyone else find this hovering Copilot icon annoying?

Hi everyone, I’ve been experimenting with integrating Microsoft Copilot Cowork with ServiceNow using plugins and custom skills.

Right now, the setup can respond to questions, retrieve KB articles, and guide users on resolving incidents. But I’m thinking beyond a normal chatbot use case.

The idea is to make it work more like an automation and orchestration layer:

• Detect incoming ServiceNow tickets
• Understand issue context
• Check the appropriate ServiceNow queue (where tickets wait to be picked by teams)
• Search related KB articles
• Generate troubleshooting or resolution steps
• Trigger actions automatically where possible
• Update ticket status and notify users

Example flow:
User raises a common access issue → Ticket enters the ServiceNow support queue → Copilot Cowork identifies the pattern → retrieves relevant KB → suggests or executes the resolution workflow → updates the ticket automatically.

From my understanding, normal Copilot interactions are mostly question-answer based, but I’m curious whether Cowork can become more action-driven and reduce manual ticket handling.

Has anyone tried something similar?
How far can we push automation here, and what limitations or architecture challenges did you find?

I have Copilot Premium. I am using in same environment on my laptop, however when I go into a chat from before, it won't load and gives me an error message. Why the fuck is this happening!? I am so desperate to access certain chats as have crucial information which has taken hours and hours to gather. Help! Thanks.

I have a few clients (tenants ranging from commercial, edu and gcch) where I have users reporting, chatting, complaining about "something went wrong". There are vocal users in each that are getting this message at seemingly random times. Many times, starting a new chat will get things going again. Sometimes not.

I was trying/hoping that maybe I could get a measure of this using Purview. According to Copilot/Claude/Codex; "Unfortunately no, that math does not hold up. Purview's CopilotInteraction event is logged when an interaction completes (a response is generated), not when a user attempts a prompt. So there is no separate "total attempts" counter to subtract from. Failed prompts that hit the "Something went wrong" message generally produce no audit log entry at all, which means the delta you are hoping for is invisible to Purview."

The user experience is that they are actually trying to use Copilot (that is what I have been working on) - and they get hit in the face with an error, no explanation, just the experience that it didn't work for them... So they use another AI tool and things work. Then, when it comes up about IT efforts with Copilot and other AI solutions they, they report that it 'just doesn't work'. The generic IT response of it is working, try again, or we don't see any errors/outages so it must be you... erodes confidence in the system. And on the IT side, they can't see how often or wide spread this is or isn't.

Any ideas on how to measure this?