Been thinking about this a lot lately.
A model can look great on extraction at first, then the second you try plugging it into a real pipeline, it starts doing all the little annoying things:
missing keys, drifting field names, guessing on bad input, or slipping back into prose.
That’s why I’ve been more interested in training fixed-key behavior and clean validation instead of just prompting harder for JSON.
Feels like “almost structured” output is basically useless once a parser is involved.
Curious what breaks first for people here:
missing fields, key drift, bad validation, or prose creeping back in?
submitted by /u/JayPatel24_
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