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Check the Machine (CtM)

A 4-step protocol for verifying AI outputs. Use the one-pager as a reference. Use the worksheet with students.

Cite this resource: Borowczak, A. & Borowczak, M. (2026). Check the Machine (CtM): A 4-Step Protocol for Verifying AI Outputs. CRAFT PD Series. cxedhub.com

The CtM Protocol — One-Pager

Every time you or your students use AI to generate an answer, run this 4-step cycle before trusting the output.

1
TASK
What did you ask the AI to do? Write the prompt or describe the request. Be specific.
2
BEFORE
What do you expect the answer to be? Write your prediction, estimate, or prior belief BEFORE looking at the AI's output. This is the most important step — it activates your own knowledge.
3
AFTER
What did the AI actually produce? Describe the output. Compare it to your prediction. Flag anything that surprises you, contradicts what you know, or that you can't independently verify.
4
TAKEAWAY
What did the comparison reveal? This is about TWO things: (1) What did you learn about the AI tool — where is it reliable? Where does it fail? (2) What did you learn about your OWN understanding?
Principle 1: AI is never the first step. You must have your own expectation before checking the AI's output.
Principle 2: Errors are features, not failures. Finding an AI error means you're learning.
Principle 3: Verification is a skill that transfers. The same mindset applies to checking any data source, calculation, or claim.

Worked Example

Example: 7th Grade Math

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.


Student Worksheet

Print or share this section with students. Editable fields below — customize the header for your class.

Check the Machine 🤖 → 🔍

✅ AI output is accurate — I verified it ⚠️ AI output has errors — I found and corrected them ❌ AI output is unreliable — I need to redo this myself

Customize for Your Classroom

Your CtM Settings

📄 Download & Share

Download any section as a Word document (.doc) — opens in Microsoft Word, Google Docs, or Pages. Every download includes the citation block.

🤖 Generate AI Prompt to Iterate

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.

CRAFT PD Series · UCF DRACO Lab & School of Teacher Education
© Andrea Borowczak & Mike Borowczak · cxedhub.com