> ## Documentation Index
> Fetch the complete documentation index at: https://www.dataframer.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Review Copilot

> Grade faster with a copilot that knows the trace, the rubrics, past reviews, and the user journey.

The **Review Copilot** is a chat pane on every review page; open it with the **Copilot** button or **⌘K**. It already knows the trace, the rubric, the [findings](/docs/findings/discovery-and-tracking) the trace belongs to, its [user journey](/docs/journeys/overview), and the memory saved from earlier reviews, so its help is grounded in the same standard the reviewer is grading against.

<img src="https://mintcdn.com/aimonlabsinc/BIX30HXoj6xW9wt-/images/reviews/copilot.png?fit=max&auto=format&n=BIX30HXoj6xW9wt-&q=85&s=4b330221904dc918063cdf8865a5261a" alt="A review with the Copilot pane open, answering how the trace scores against each item of the rubric" width="2880" height="2000" data-path="images/reviews/copilot.png" />

## What to ask it

Type a question in the pane, or open **Copilot Actions** next to any section of the trace to point it at one part: the input, the prompt, a single workflow step, or the output.

<img src="https://mintcdn.com/aimonlabsinc/BIX30HXoj6xW9wt-/images/reviews/copilot-actions.png?fit=max&auto=format&n=BIX30HXoj6xW9wt-&q=85&s=6374723429e09b8867a2784f8943f828" alt="The Copilot Actions menu of a trace's Output section" width="1524" height="404" data-path="images/reviews/copilot-actions.png" />

* **Explain.** Ask how a dimension should be applied, or why an example counts as good or bad, so a new reviewer grades it the way an expert would.
* **Draft a rationale.** Have it write a one-sentence rationale for a grade or a correction.
* **Draft an edit.** Ask for an improved version of the model's output, then insert it into the review as the corrected response.
* **Propose grades.** Ask it to grade the trace against the rubric; it fills in the grades.
* **Check the rubric itself.** Ask it to flag gaps, ambiguities, or missing dimensions.

## Next steps

<Card title="Judges & Datasets" icon="scale-balanced" href="/docs/judges/overview">
  Calibrate a judge against this review data
</Card>


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