I wrote 40 quiz questions by hand and then built a tool to do the boring part

I tutored a subject for a year and every week ended the same way: I'd sit down to write quiz questions and burn an hour producing maybe ten, half of which I'd rewrite because they tested trivia instead of understanding. The questions mattered, but the labor of drafting them was pure overhead.

QuizGen is what I built to take that hour back. You give it a topic and a difficulty, and it returns a set of questions with model answers across any subject, ready to copy or export. The tool does the mechanical drafting; you decide what's worth asking and fix anything off.

The draft is the easy part, and that's the point

Writing the first version of a question is low-skill and high-friction: you stare at a topic and try to phrase something fair. That's exactly the kind of task a generator is decent at and a human finds draining. The high-value work — judging whether a question actually measures understanding, or whether the answer is correct — is where my attention should go.

So I let it propose, and I edit. Difficulty presets keep the output from drifting: "easy" stays conceptual, "hard" pushes toward application. Without that knob the tool tends to land everywhere at once and I spend the saved time re-sorting.

What a usable question set needs

Beyond the question and answer, I care that the set is coherent — not five variations of the same idea. QuizGen returns questions with model answers you can export and reuse, and QuizGen keeps the format copy-friendly so it drops into a doc or a quiz platform without reformatting.

I still read every answer. A generated model answer can be plausible and wrong, especially on a contested topic, and shipping that to a student is worse than no quiz. The tool is a first pass, not an authority.

Honest limits

It's an aid for drafting, not a guarantee of pedagogical quality or factual correctness. It won't know your curriculum or which misconception your specific class keeps hitting — that context is yours. And for anything high-stakes like a graded exam, the questions and answers need a human subject-matter check before they count.

Used that way, it turns an hour of grunt work into ten minutes of review, which is the right trade for repetitive generation.

How I fit it into teaching

I generate a set the night before a session, then cut it to the five questions that test the misconception my students keep hitting. The tool can't know that misconception, so my edit is where the value lands. I'll also have QuizGen produce an easy and a hard version of the same idea, which tells me fast whether someone grasps the concept or just the vocabulary. Two difficulty levels of one question is a better diagnostic than ten questions at random, and it's the part I'd never bother hand-writing for every topic.

FAQ

What subjects and difficulties does it cover?

You set any topic and a difficulty preset — easy, medium, or hard — and it generates questions with model answers. The subject is open; the preset controls how deep the questions go.

Can I export the questions?

Yes. The output is copy-friendly and can be exported and reused in a doc or quiz platform without reformatting.

Should I trust the model answers as-is?

No. Read each answer before using it. A generated answer can be plausible yet incorrect, especially on a contested topic, so a human check is part of the workflow.

Is this suitable for a graded exam?

Only after a subject-matter review. It drafts questions and answers; it doesn't certify them as fair or correct, and high-stakes use needs your verification.