How Do I Give AI Good Examples to Follow?
AI works better when you show it what a good answer looks like.
A useful set of examples should also show common mistakes and situations where the normal answer does not apply.
Collect one good example
Choose an example that shows the standard you want AI to copy, such as the right tone, format, level of detail or decision style.
Collect one poor example
Include a mistake to avoid. This helps AI see what looks wrong, not just what looks right.
Add an unusual example
Show a case where the normal pattern stops, such as when the answer is uncertain or a person needs to check something first.
Explain why each example matters
Add a short note beside each one so AI knows what to copy, what to avoid and when the example does not apply.
Add a review date
Old examples can teach AI the wrong thing. Check them again when policies, prices, services or wording change.
See it in practice
For customer replies, a small set might include:
- A clear answer that uses the correct policy.
- A reply that promises too much.
- A reply that asks for more information because the answer is not yet clear.
The note beside each example explains what AI should copy and what it should avoid.
AI receives useful examples instead of the vague instruction "write like this".
Review these examples and label each one as good, poor or unusual. Explain what AI should copy, what it should avoid and when the example does not apply. Do not treat the examples as current facts unless the source confirms them. Examples: [PASTE EXAMPLES]
Edit the words in square brackets before you use it.
Published by the Nova9 editorial team. Last checked July 2026.
