Most LLM failures in production aren’t random — they’re predictable.
I kept hitting broken JSON, silent failures, and outages that froze my entire app. Prompt engineering didn’t fix it.
So I built a control layer above the model — and took structured output reliability from 0% to 100% without changing a single prompt.

The post Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production appeared first on Towards Data Science.

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