Lesson 3 of 8 · Evaluate LLM Output Before You Trust It
In this lesson. Gold inputs you rerun on every prompt change.
What you will learn
- Case set
- Difficulty slices
- Rerun always
Walkthrough
You will collect 20–100 cases. Slice by difficulty. Store them. This is the regression suite for language. No suite, no engineering.
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 Evaluate LLM Output Before You Trust It 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
Start a 20-case set with ids and expected traits.
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 “Case set” 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.