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Another common mistake I see with LLMs is sticking to prose inputs and outputs for the model Most users are actually pretty allergic to both typing out and reading large blocks of text. It's often better to structure inputs and outputs to be something other than sentences/paragraphs

For example, you can turn unstructured inputs (e.g. text form fields) into more structured inputs (e.g. checkboxes, date pickers) and you can even have the LLM actively think through what structured input to prompt for and generate structured input form elements on the fly

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