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Very, very good stuff here. I think a possible missing piece is how to explain how the results were computed. Here it seems they're relying on the fact that users are somewhat technical (that's great for OpenAI -- it's an internal agent after all) and can at least read SQL, but it's an interesting design problem how you would structure the interaction with nontechnical users.

When working on data systems you quickly realize that often how the question was answered (how the metric is defined, what data was taken into account and so on) is just as important as the answer.