Grounded prompts
Dated artifacts, specific sources, local referents, the more specific the prompt, the harder a chatbot is to use invisibly.
For teachers · Assessment design
You cannot make an assignment AI-proof, but you can make AI-generated submissions obvious and cheap to spot. Eight prompt patterns teachers are actually using.
The phrase "AI-proof assignment" has stopped being useful. Any prompt a student can type into a chatbot can produce a draft; the question is how visible the shortcut becomes once it's produced. The patterns below are not AI-proof. They are AI-resistant in two specific ways: they make the shortcut harder to take, and they make the shortcut easier to detect when taken.
These patterns do not replace detection. They make detection cheaper to act on. When a prompt is specific and a draft history exists, a detector flag becomes one line in a three-part evidence chain (detector + draft history + prompt-specificity), and the conversation with the student is short. When a prompt is generic and no draft history exists, a detector flag alone carries too much weight.
"Turn off spell-check" does not work. "Write in blue pen" does not work for remote classes. Anti-plagiarism scare language on the syllabus does not measurably reduce AI use in any study we've reviewed. What works is making the shortcut visible and expensive compared to doing the work.
Dated artifacts, specific sources, local referents, the more specific the prompt, the harder a chatbot is to use invisibly.
Version control is the single highest-leverage anti-shortcut tool. Google Docs and Word both do this natively.
Grading the delta between drafts is harder for AI to fake than drafting the essay from scratch.
Pick a pattern. Apply it to your next assignment. Measure the change.
Read the teacher hub