Ask ten teachers what AI feedback on an essay looks like and you will get ten guesses. Some picture a grade stamped on the page. Others imagine generic praise that could be pasted onto any paper.

Good AI feedback is more specific than either. It reads the essay against a rubric, points to actual sentences, and explains what would move the writing to the next level. A Lovely Bones essay is a useful test case because the mistakes students make are so consistent.

Students writing about Sebold's novel tend to summarize the plot, state themes as slogans, and drop quotations without explaining them. Those patterns are easy to name and easy to coach. They are also the kind of thing a rubric-aware tool can flag quickly across a full class.

Here is what that feedback can include, and what it should leave to you. The point is not to replace your read of the paper. It is to give you a solid draft to react to.

The Comments AI Does Well

Rubric-aligned feedback is where these tools earn their keep. If your rubric asks for analysis of narrative technique, the comment can note that a paragraph describes what happens to Susie's family but never says how Sebold's narration shapes the reader's response. It can then suggest a concrete revision, such as naming the technique and tying it to an effect.

• Flagging plot summary that stands in for analysis, with the exact sentences highlighted.
• Noting when a quotation appears without any explanation of why it matters.
• Pointing out thesis statements that describe a topic instead of taking a position.
• Catching paragraphs that drift away from the claim they were meant to support.
• Suggesting one revision priority so the student is not overwhelmed.

What Still Needs a Teacher

Interpretation is the big one. A student may make an unusual but defensible reading of a family member's silence, and a teacher with context can tell the difference between a stretch and an insight. Teachers also know which students need encouragement first and which need a push.

Sensitive material calls for extra care. When essays touch on loss or violence, read the paper yourself before the feedback goes out. A tool can draft, but the decision about tone belongs to the person who knows the student.

A Sample Workflow for a Class Set

Enter the rubric, run the essays, and read the drafted comments in batches. Approve the ones that fit, rewrite the ones that miss, and add a personal note where it counts. Tools like GraideMind are built around this review-and-approve loop.

Track how often you change the draft feedback. If you rewrite most comments on one row, the descriptor probably needs sharpening. That small adjustment improves every future round.

Judging the Quality of the Feedback

Read three or four comments as if you were the student. Ask whether you would know what to fix and whether the advice matches what you taught. If the answer to either question is no, the rubric or the prompt needs work.

Also watch for feedback that sounds polished but says nothing. A comment that praises "strong analysis" without naming the analysis is filler. Specific references to the student's own sentences are the best sign that the feedback is doing real work.