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

# Learn how to use AI responsibly to grade and draft student feedback

<video src="https://mintlify.s3.us-west-1.amazonaws.com/clairelabs/videos/Reviewing-AI-Powered-Grading-Reports.mp4" controls />

Claire transforms your raw notes and AI suggestions into personalized, well-written student feedback and grading recommendations.

<Steps>
  <Step title="Generate a report">
    In [Reading view](/documentation/reader/annotate) or [Rubric view](/documentation/reader/rubric-view), click <Badge color="blue">Generate report</Badge>. Claire will synthesize all your notes — both comments and grading remarks — and prepare a marking and feedback draft.
  </Step>

  <Step title="Review scoring alignment">
    Claire maps your grading remarks against the rubric to recommend a score for each criterion. Always verify these recommendations by clicking <Badge color="blue">View Blocks</Badge> to see the underlying work before assigning the final grade.
  </Step>

  <Step title="Review the feedback draft">
    Switch to the <Badge>Feedback</Badge> tab to read the AI-generated feedback draft. You can click into the text editor to make any manual adjustments before finalizing.
  </Step>

  <Step title="Publish feedback">
    Click <Badge color="blue">Publish feedback</Badge> to finalize the report. From there, you can download it as a PDF or make it available to students in the student portal.
  </Step>
</Steps>

## Context

Using AI for grading requires a human-centric approach. The AI suggests scores based on the strengths and weaknesses you (or the AI) identified during the review phase, but you maintain full control over the final grade and the exact wording of the feedback.

Learn how to use AI responsibly with Claire: [Responsible use of AI](/safeguard/instructions-for-use).

***

**Looking for more details?**

* For an in-depth look at generating reports and publishing, see [Review submissions](/grading/evaluate-students).
* To see what the report looks like for your student, see [Feedback reports](/grading/student-feedback-reports).
