florianj
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florianj.com
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We have an AI customer interviewing platform our customers ask us things like: “I want to talk to 200 people, at least 100 who are ChatGPT Pro users, 75 who use Gemini weekly, and 50 from each region of the US.”
We don’t know those attributes upfront, so we have to ask participants screening questions and decide in real time whether to move forward.
Of course, it's a bit different as we optimize for the average case, not the best case, and we don't know the distributions (but can estimate with LLMs!).
Also did you optimize for the best case in any way vs expected cases?