About this course
An eval is a written standard for AI output and a repeatable way to check against it. Learn the method from zero, in design research terms, through one real study of an AI audit tool.
A 5-lesson course for designers and PMs who have never run an eval. It follows one real study from start to finish: 41 screenshots, two reviewers, six failure types, an AI reviewer checked against a person, and two fixes measured on fresh examples. Every engineering term is introduced with what engineers call it.
What you'll learn
- Why Evals: What an eval is, and why AI output needs a written standard.
- Look at Real Answers: Choose test examples and design the screen you review them on.
- Sort and Set the Standard: Turn review notes into failure types and a yes or no rule.
- Automate and Fix: Check an AI reviewer against your labels, then measure a fix.
All lessons
Why Evals
1 lesson · 5 minWhat an eval is, and why AI output needs a written standard.
Look at Real Answers
1 lesson · 4 minChoose test examples and design the screen you review them on.
Sort and Set the Standard
2 lessons · 8 minTurn review notes into failure types and a yes or no rule.
Automate and Fix
1 lesson · 8 minCheck an AI reviewer against your labels, then measure a fix.
The patterns behind this course
Confidence VisualizationDisplay AI certainty levels through visual indicators, helping users understand prediction reliability and decide when to trust or verify outputs.Feedback LoopsContinuous learning mechanisms where user corrections and preferences improve AI performance, creating experiences that evolve with usage.Human-in-the-LoopBalance automation with human oversight for critical decisions, ensuring AI augments human judgment.