A real AI use, explained simply
Check whether AI is good enough before you rely on it
AI evals are repeatable checks with real examples and clear rules. They help you see whether a change really improved the work, not just one impressive example.
Try it in 3 small steps
- Collect 5–10 real examples of the task.
- Write a short checklist for what “good enough” means.
- Try the AI on every example, record mistakes, and keep human review for important outputs.
Use this when
Useful before relying on AI for a repeated work task, a new model, or a new automation.
Copy this and change the brackets
I want to test AI for [repeated task].
Here are real examples: [examples].
Check each answer for: [3–5 rules].
Make a table of pass / needs review / fail, explain the reason, and do not hide uncertainty.Established practice, especially for repeated work
It replaces vague confidence with evidence from the work you actually care about.
Keep in mind
A small test cannot prove every future result is correct. Do not remove human review for high-stakes work.