Checklist for Reviewing AI-Generated Content – Curriculum Guide

This checklist sets out what to check before you publish quizzes, lessons and learning paths that AI generated. The single most important habit for using AI safely is fixing the points a person must always review.

The basic stance for reviewing

Before getting into the individual review points, there are three principles the whole team should share.

AI output is a draft

Don't publish it as is. Treat it as raw material for a person to finish.

A person is responsible for publishing

In the end, the question is who checked it and put it out.

When in doubt, think like a learner

If you can't decide, go with what works best for the learner.


The checklist (seven review points)

Before publishing, go through these seven points in order. Once every item under "What to check" is a yes, move on to the next point.

Review point What to check Red flags / rule of thumb
1 Does it match the purpose and goal?
  • What will learners be able to do after this training?
  • Do the quizzes and tests actually measure that goal?
  • Tests knowledge but doesn't lead to action
  • Includes questions unrelated to the goal
2 Does it fit the target role?
  • Does it go beyond what learners already know?
  • Has content meant for managers slipped in?
AI easily loses track of who the content is for, so a person must always check this.
3 Do the wording and terms follow company standards?
  • Are internal terms and abbreviations used correctly?
  • Is there any prohibited or misleading wording?
Correct in general, but different from your company's rules
4 Is the difficulty right?
  • Is it so easy learners can answer without thinking?
  • Does it require background knowledge learners don't have?
As a rule of thumb, check whether you're aiming for 70–80% of answers correct.
5 Are the quiz explanations sound?
  • Is the reason for the correct answer explained logically?
  • Do the explanations for wrong answers help learners learn?
The explanation is where the real learning happens. Don't skip it.
6 Are there any AI-specific risks?
  • Is the wording overly definitive?
  • Does it lean too heavily on "latest" information?
AI can be confidently wrong.
7 Can you picture it being used on the job?
  • Can learners picture a real work situation?
  • Is it clear what they should actually do?
Use whether it changes behavior after reading as your yardstick.

Final check: deciding to publish

After going through the seven points, ask yourself these two last questions.

If I were the learner, would this make sense to me?
If someone asks about it, can I explain it?

Tips for making review part of your process

Review is pointless if the standard changes depending on who's doing it. These three practices keep it consistent across the team.

  • Use a fixed checklist
  • Share the review points across the team
  • Start strict, then relax gradually

This turns AI from something scary into a reliable tool.


Related guides

The next guide covers how to keep growing your content after it's built.


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AI content review,LMS AI operations,generative AI checklist,AI quality control for training,AI LMS design,Manabu2 help
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