Lesson 9 of 10 · AI API Integration Masterclass
In this lesson. Add a simple evaluation so quality and cost are not guesswork.
What you will learn
- Gold examples and obvious failures
- A review set you can rerun after each change
- What to log so regressions are visible
Walkthrough
Advanced work fails quietly when nobody measures it. For AI API Integration Masterclass you will define pass/fail examples, a small review set, and a note on what “better” means — faster, cheaper, clearer, or safer. Keep the harness small enough to run every time you change a prompt, a model, or a workflow step.
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 AI API Integration Masterclass 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
Build a 10-example review set for your workshop artifact and score it before and after one improvement.
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 “Gold examples and obvious failures” 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.