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I like the idea, but it failed for me (sharing in case it's helpful).

I ask for the school board website for every public school district in the bay area (like boarddocs, etc.), and it mostly returned useless links to the page listing the board members.

I asked ChatGPT5-thinking to do the same and it completed the request correctly, and outputted a CSV with a better schema in a couple of minutes.

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Thanks for testing it! That's definitely a miss, sounds like it got confused about what you were looking for and went after board member pages instead of the actual meeting/document sites.

We're working on better query interpretation, but in the meantime you could try being more specific like "find BoardDocs or meeting document websites for each district" to guide it better. Also, you can usually figure out how it interpreted your request by looking at the entity criteria, those are all the criteria a piece of data needs to meet to make it in the set.

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