← Generative AI Foundations You Can Explain

Lesson 3 of 8

Evaluating model outputs without guessing

Lesson 3 of 8 · Generative AI Foundations You Can Explain

In this lesson. Score drafts on usefulness, accuracy, and missing pieces.

What you will learn

  • A three-point output rubric
  • Spotting invented facts and vague claims
  • One revision pass, then stop

Walkthrough

Output that sounds confident is not the same as output you can use. You will score a draft on three checks: did it do the job, did it invent details, and what is missing. Then you revise once with a tighter prompt instead of chatting in circles. That habit is the difference between a toy and a workflow.

Work through the ideas in order. After each point, pause and connect it to a task you already do — a document, a workflow, or a feature you own. The goal of Generative AI Foundations You Can Explain is usable skill, not a pile of notes.

If something is unclear, rewrite it in your own words before you continue. Teaching the step back to yourself is the fastest way to see gaps.

Practice

Take one AI draft and mark it pass/fail on usefulness, accuracy, and completeness. Revise once.

Keep the first attempt small. A finished example you can reuse beats a perfect plan you never run.

Check your understanding

  • Can you explain the goal of this lesson in one sentence to a teammate?
  • Where would you apply “A three-point output rubric” in your own work this week?
  • What would you change on a second pass of the practice?

Next. Continue to the following lesson when the practice has a real artifact, even a rough one.