Helping students understand assignment expectations and compare draft work against instructions and rubric criteria before submission.
Students often lose marks before they begin because instructions, rubrics, and success criteria are scattered or difficult to interpret. This prototype lets a student paste assignment instructions, rubric information, and an anonymous draft, then generates structured feedback focused on expectations, gaps, and revision priorities.
Students may not know what the assignment is really asking for until after they receive marks.
The tool separates assignment clarification from draft comparison so students can plan first and revise second.
The focus is formative: helping students make stronger decisions before the final deadline.
This demo runs locally in the browser. It does not require a student name and does not store submissions.
Turning complex assignment language into plain actions, deliverables, and success criteria.
Separating planning feedback from revision feedback so students can improve before submission.
Structuring the information an AI feedback workflow would need: task, rubric, evidence, and revision advice.