A 4-step protocol for verifying AI outputs. Use the one-pager as a reference. Use the worksheet with students.
Every time you or your students use AI to generate an answer, run this 4-step cycle before trusting the output.
Task: I asked the AI: "Write a word problem about proportional relationships using a recipe context for 7th graders."
Before: I expect a problem that gives a recipe for a certain number of servings and asks students to scale it up or down. The numbers should be reasonable (not fractions of eggs) and the proportion should be straightforward.
After: The AI produced a problem about tripling a cookie recipe. It was well-written BUT it asked students to use "3/4 × 3 = 9/4 cups of flour" — mathematically correct, but the AI didn't convert to mixed numbers (2¼ cups) which is how recipes actually work. A student could get the right math answer but an impractical cooking answer.
Takeaway: The AI is good at creating the structure of word problems but doesn't always check whether the answer makes practical sense in context. I need to verify that AI-generated problems have contextually reasonable answers, not just mathematically correct ones.
Print or share this section with students. Editable fields below — customize the header for your class.
Download any section as a Word document (.doc) — opens in Microsoft Word, Google Docs, or Pages. Every download includes the citation block.
Adapt the CtM protocol for your grade and subject. The prompt asks for a Word document with HTML and Markdown fallbacks, so free-tier LLMs still return a paste-ready result.
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