> For the complete documentation index, see [llms.txt](https://docs-en.dydu.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-en.dydu.ai/contents/knowledge/comments.md).
# Comments
You can leave comments on the knowledge. These are visible only to users of the platform.
These comments allow:
* To communicate between the different people working on the basis of knowledge "why not have done this instead...";
* To remember an action to do: "think about adding the link".
When a comment is added, an email is sent to all users of the bot. A user can disable the sending of these mails.
The steps below describe how comments work:
1. To write or read a comment, move your mouse over the comment icon in the reply.
2. Click **Comments**: an input field opens.
3. Write your comment and click **Add a comment**.
Once registered, the comment is above, with the name of the person who wrote it and its date of creation.
Note: you can also tag a user (@ + drop-down menu). In addition, the user receives an email (unless disabling emails in which the user is mentioned).
4. Cick on the comment icon to read the comment, you can archive it.
When someone adds a comment or answers to one of your comments, you will receive a notification that there is one or more unread comments.
When a comment is not archived, the corresponding knowledge can be found in the *Comments to be processed* list. These comments are the one you may have read but not archived yet.
To use comments properly, it is necessary to archive the comment when the action indicated in the comment is completed rather than after reading the comment.
Click **Archive** on the right of a comment to archive it.
You find all the knowledge on which there was one or more comments in *Knowledge with comment(s)* .
Once back on the initial view, if all the comments associated with knowledge are archived, information about comments disappears.
However, you will know there have been comments on this knowledge because it is in the list *Knowledge with comment(s)*.
[
](https://dev.docs.dydu.ai/docs/Knowledge/decision_tree)
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://docs-en.dydu.ai/contents/knowledge/comments.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.