diff --git a/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md b/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md
index 610ecda4..cd9f0778 100644
--- a/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md	
+++ b/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md	
@@ -12,6 +12,7 @@
 - Added the setup for local data sources. You pick an embedding provider, and AI Studio asks for your confirmation before any document goes to a cloud service. It keeps up with your files as they change, shows the progress on a page of its own, and checks every document for hidden instructions before indexing it. Documents without readable text, such as scanned pages, are remembered as such, so AI Studio does not work through them again after every start — it comes back to them once they change.
 - Added support for several drop areas on the same page. More complex assistants can now receive files or folders by drag and drop at more than one place.
 - Added drag and drop to the input and output folder of the Batch Processing assistant: drop a folder onto either field to choose it.
+- Added ways to load text from a file and drop zones for them, throughout the assistants and dialogs. We went through them one by one, so many fields that used to accept typed text only now take the content of a file as well.
 - Improved loading web content in the assistants: it now uses the same reader as the Read Web Page tool, which extracts the main content of a page more reliably and skips navigation and boilerplate. Pages from your own network, including local servers, keep working as before. When a page cannot be read, AI Studio now says why instead of leaving the field empty.
 - Changed how provider trust and provider confidence work together. Marking a provider as trustworthy in a configuration no longer also satisfies a required confidence level: one says who runs the provider, the other how confidential it is. Organizations raise a provider's level in their own confidence scheme instead. This applies beyond local data sources, for example, when a model reads a page from your intranet.
 - Fixed a dropped file being processed several times, e.g., after the computer woke up from sleep.