LOOMAL
AI Grading Feedback

Feedback that arrives
while the work is fresh.

Students submit work and wait two weeks for a graded paper they barely remember writing. A Loomal agent reads each submission, drafts personalized feedback, and sends it from the instructor's identity within hours — turning grading into a real conversation about the work.

mail_list_messagesmail_sendmail_reply

API Primitives used

mail_list_messages

Read the submission

Agent watches the assignments inbox for submitted work and parses out the student, assignment, and content.

mail_send

Send personalized feedback

Feedback goes from the instructor's agent identity, threaded against the original submission, with rubric scoring.

mail_reply

Handle revision questions

Students reply with questions or revised work; agent reads and responds in-thread.

Grading lag breaks learning.

By the time a student gets graded feedback, they've moved on to the next assignment and forgotten the first. The feedback that should drive learning becomes a number in a gradebook nobody acts on. Instructors know it; they also know they can't grade 60 papers in a day.

An agent can. With access to the assignment inbox and a model that reads carefully, feedback can be sent within hours of submission — while the work is still fresh in the student's mind.

How to build it.

01mail_list_messages

Read the submission

Agent picks up the submission, identifies the assignment, and reads the work against the rubric.

02mail_send

Draft feedback

Agent drafts personalized feedback referencing specific passages, scores against the rubric, and sends from the instructor's identity.

03mail_reply

Handle revisions

Student replies with questions or a revision; agent responds in the same thread with continued feedback.

Example prompt

For every assignment submitted to my class inbox, read against the rubric, draft personalized feedback referencing specific paragraphs, and send it from my instructor identity within 4 hours.

What instructors build.

Writing courses

Agent provides line-level feedback on student essays within hours of submission.

Coding assignments

Agent reads code submissions and gives feedback on style, correctness, and edge cases.

Discussion-board prompts

Agent reads discussion posts and replies with thoughtful follow-up questions.

Language learning

Agent gives detailed grammar and usage feedback on language-class writing.

Adaptive tutoring

Agent identifies common student errors and adjusts feedback emphasis automatically.

Why grading feedback needs an agent identity.

Feedback works when it's specific, fast, and personal. Humans deliver one of those at a time. An agent can deliver all three at once — with full audit so students and parents know exactly what was said and when.

Loomal gives the instructor an identity that owns the submission inbox, the feedback delivery, and the audit trail. Students get faster feedback; instructors get back the hours they were spending on grading.

Student data scoped

Submissions and feedback live in the instructor's own inbox.

Per-submission audit

Every feedback message is logged with the instructor identity and timestamp.

Identity per course

Each course can run on its own agent identity for clean separation.

Related use cases

Give feedback while it counts.

Read, score, and reply — fully autonomous.