Start With Clean Inputs
Your prompt quality will never outperform your source quality. Before generation, normalize headings, remove duplicated blocks, and enforce metadata tags.
Simple preprocessing can improve retrieval relevance and reduce hallucination inside downstream tasks.
Stabilize Output Through Templates
Templates are not about limiting creativity. They are about guaranteeing structure. Define expected sections, difficulty distribution, and answer-key formatting.
With stable templates, reviewers focus on pedagogical quality rather than formatting corrections.
Close The Loop With Evaluation
Add quick checks such as language level, rubric alignment, and concept coverage before delivery. Evaluation should happen automatically where possible.
The result is a predictable pipeline that scales with teachers, not against them.