> this is NOT something most people want to do

I've always felt that "proper" and responsible LLM use for search [0] would be two boxes: You can describe what you want in the first, and it'll propose search terms in the second, and then those get executed normally.

Yes, the "average user" [1] might not usually care about the second box... Until they need to because the query/results are wrong.

Showing them in tandem means:

1. Users are at least capable of learning through exposure.

2. Users may realize a key term can be added which the model could never have guessed.

3. Users may recognize a term in there that doesn't make sense, allowing them to detect a translation error.

4. If good search-terms leads to a bad outcome, it is possible for someone to report and diagnose it, rather than a fully black-box mystery.

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[0] Not just for websites, but also things like internal business software, or SQL queries.

[1] The average that might not exist. ( https://www.thestar.com/news/insight/when-u-s-air-force-disc... ) There are some features that everybody needs, just at different times.