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AI productwarm-up
When should a product not use AI?
How to approach it
Name cases where a simpler solution is better: when exact answers are required, when rules already work, or when errors are costly.
How a strong answer opens
“I'd avoid AI when a simple rule or search already works, when answers must be exact every time, or when a mistake is costly. A shipping-cost calculator should just be a formula.”
Outline of a strong answer
Try answering out loud for a few minutes before you open this.
- When simple rules or search already solve it, such as a fixed shipping-cost calculator
- When answers must be exact every time and errors are costly, such as tax amounts
- When there is no trustworthy data to ground the answers
- When cost per request or response delay outweighs the benefit
- When users want control and predictability more than suggestions
- Close with a test: compare the AI version against the simple version on the same metric
Where this question usually goes wrong
Answering that AI is almost always worth it, or listing vague concerns without concrete examples of where simpler tools win.
Learn the method
Common traps and how to recover in Module 7, AI product interviews.
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