Has Anyone Successfully Used the Fabric Data Agent Connector with Copilot Agent?
Hi everyone, I'm facing an issue with a published Copilot agent in the Microsoft 365 app channel. The agent is configured with the Fabric Data Agent connector along with documentation as knowledge sources. However, while the agent works as expected with the Power BI connector, it fails to return responses when using the Fabric Data Agent connector in the Microsoft 365 app I understand the Fabric Data Agent connector is still in preview, but I wanted to check: Has anyone successfully used the Fabric Data Agent connector with a Copilot agent in the Microsoft 365 Copilot app? Is this a current limitation of the Microsoft 365 app channel or the preview connector? Are there any known workarounds? Is there any estimated timeline for the Fabric Data Agent connector to reach General Availability (GA) and support the Microsoft 365 app channel I'd appreciate any insights or experiences from others who have tested this scenerio Thanks!
Does Microsoft 365 Copilot Agent Builder support OCR and image analysis for SharePoint?
Hello everyone, I am currently testing a Microsoft 365 Copilot Agent Builder agent that is grounded on SharePoint document libraries. During testing, I observed that the agent can successfully analyze and generate responses from text-based documents such as Word, Excel, PowerPoint, PDF, CSV, and TXT files. However, when folders contain image-based files (JPG/PNG), the agent sometimes reports incomplete analysis or is unable to extract information from those files. I would appreciate clarification on the following: Does Microsoft 365 Copilot Agent Builder officially support OCR (Optical Character Recognition) for JPG and PNG files stored in SharePoint? Can Agent Builder natively analyze image-based content, or is this capability only available through Copilot Studio with additional AI services? Are there any documented limitations regarding image processing compared to text-based document processing? Has anyone successfully implemented a SharePoint-grounded Agent Builder solution that can reliably analyze scanned images, photographs, or image-based documents? If OCR/image analysis is not currently supported, is there a recommended Microsoft solution or architecture for achieving this requirement?
The Windows App isn't viable at present
The Windows Copilot app is not viable for real work because it only stores three conversations. Edge Copilot and the mobile app preserve full history and sync across devices, which makes them usable for long‑term projects. The Windows app should match that behavior or be retired. The inconsistency breaks workflows for users doing multi‑month creative and strategic work.
Architectural: Copilot should detect missing source data, avoid inference, and surface uncertainty.
Users expect the AI to detect when it lacks source data, avoid inference, surface uncertainty, and adapt to environmental constraints like character normalisation. These behaviours materially improve trust and usability. I’ve been working with Copilot on structured data extraction from a PDF and noticed a behaviour that seems like an architectural gap rather than a simple bug. Copilot attempted to infer table structure from a template when it did not have access to the actual source data. It produced confident but incorrect output instead of signalling that the source was unavailable. Additionally, Copilot attempted to output TAB‑delimited data, but the MS365 environment silently normalised TABs to spaces, and Copilot did not detect or adapt to this constraint. Recommendation: Copilot should proactively: detect when it lacks source data avoid inference when accuracy is expected surface uncertainty explicitly detect environment‑specific formatting limitations (e.g., TAB stripping) adapt output formats automatically These behaviours would materially improve trust, reliability, and user experience.
Limitations of Microsoft 365 Copilot for Excel workflows?
I've been exploring Microsoft 365 Copilot for Excel workflows recently. It works well for simple queries, but I still find it limited when dealing with: - messy data cleaning - converting images/PDFs into structured tables - more complex data transformations Curious how others are using Copilot for these scenarios? Are you relying purely on Copilot, or combining it with other tools/workflows?Adobe Payment Declines Caused by Mislabelled VAT Field — Sharing a Fix to Save Someone’s Sunday
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } I wanted to share a recent issue that cost me an entire Sunday, in case it saves someone else the pain I went through. I was trying to add my business card as the payment method on my Adobe account. Every attempt ended with the same message: “Purchase Declined.” I tried multiple cards — same result. Naturally, I reached out to NatWest through their messaging system. After a long back‑and‑forth with Cora (their bot), I finally got through to a human. They confirmed there was nothing wrong with my card and advised me to check with the vendor. Adobe, of course, bounced me back to the bank. Classic loop. Eventually, I managed to solve it myself. a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } The culprit? A misbehaving VAT Number field. On Adobe’s payment form, there’s a field for a VAT number. If I left it blank, the payment went through immediately. But if I tried to enter my actual VAT number, the card was rejected every time. Based on a bit of trial, error, and experience with automation tools, I suspect the VAT field’s label has been updated, but the underlying target still points to the 3‑digit card security code field. Since that field is required, entering a VAT number likely breaks the form validation and triggers the “declined” status. The fix: Leave the VAT number field empty when adding a card to Adobe. Once I did this, my business card was accepted straight away. I figured I’d share in case anyone else hits the same brick wall. It’s a small thing, but exactly the kind of time‑sink that ruins your weekend! Hope this helps someone.
Question about Copilot observations related to a possible historical find
Hello everyone, I am working on an art‑historical examination of an older oil/acrylic painting that shows a striking stylistic proximity to John Lennon. What makes it unusual is that the painting contains several features typically seen in Lennon’s drawings, including geometric facial divisions, reduced line structures, characteristic eye shapes, and a distinctive arrangement of figures. While using Copilot, I noticed several noteworthy observations that captured these features with unexpected clarity. I am not looking to present or evaluate anything here, but simply to understand which types of Microsoft teams or roles generally deal with such Copilot observations in connection with possible historical finds. If anyone in the community knows which areas are typically responsible for this or whom one might contact in such cases, I would appreciate any guidance. Thank you.
