> For the complete documentation index, see [llms.txt](https://help.transform.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.transform.ai/collaboration-and-automation/comments-and-history.md).

# Comments and History

See conversation threads and a timestamped change log on work items.

### Overview

Comments capture discussion and decisions.

History captures a timestamped change log for the item.

### Key Concepts

* **Comment thread**: discussion attached to the item
* **History event**: recorded change, such as status or owner update
* **Actor**: Teammate or system process that performed the change

### How It’s Used

Use comments for approvals and rationale.

Use history to validate scope, ownership, and status changes.

### Benefits

* Cleaner governance through traceable decisions
* Faster investigations during delivery issues
* Reduced duplicate work during handoffs

### Setup Steps

{% stepper %}
{% step %}

### Open comments

1. Open an item detail panel.
2. Locate the comment area.
3. Add a comment using a consistent decision pattern when applicable.
   {% endstep %}

{% step %}

### Open history

1. Locate the **History** or **Activity** area.
2. Review status, owner, and field changes.
3. Filter by time window when available.
   {% endstep %}
   {% endstepper %}

### Best Practices

* Record decisions and rationale in the same comment.
* Link to Artifacts and related items instead of duplicating long text.
* Check history before reopening closed work.

### Summary

Comments provide context. History provides accountability.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://help.transform.ai/collaboration-and-automation/comments-and-history.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
