The problem: a good-looking paper can ask the wrong things
You teach a carefully chosen set of ideas, then spend your preparation time writing questions that stay within those boundaries. A generic question generator can make that harder: a plausible question may assume a concept your class has not covered. The paper looks ready, but you still have to check every answer against the lesson.
The useful starting point is not a topic label alone. It is the material your students actually learned, with enough context to show the grade, scope and intended depth.
How Quesly helps: start with your source
Quesly drafts questions from readable TXT files, text-based PDFs or pasted notes. You can inspect the extracted text before generation, choose the question mix and marks, then review the resulting paper and answer key. Empty or unreadable source text blocks generation.
That puts the lesson beside the drafting process. It does not guarantee alignment: readable text can still be incomplete, and a model can interpret a passage incorrectly. The teacher’s check is part of the workflow, not an optional quality badge.
A small example: one lesson on sound
Imagine a Grade 8 lesson explaining that sound comes from vibrating objects. Your notes discuss pitch and loudness but do not teach the mathematics of wave speed. A question demanding a wave-speed calculation would therefore need reconsideration, even if the calculation itself is scientifically valid.
Check each question for this kind of mismatch. Then solve it yourself, inspect the fixed MCQ answer where applicable, and check whether the written-answer marking points ask for ideas present in the lesson. A source excerpt is a place to look, not proof that the question is right.
A better first trial
Use one short lesson and a small paper first. Record which questions needed correction, where the answer key was unclear and which marking points went beyond the notes. Those observations tell you more than the number of questions generated.
Quesly brings the draft, answers and marking criteria together so you can carry out that review in one assignment workflow. It does not replace your knowledge of the class or establish that an AI-written paper is suitable for an important exam.
