OpenRouter Watch posted an update
OpenRouter tested five ways to extract tables from five PDFs using an LLM, and found two routes that returned a normal response despite failing. That is the awkward sort of bug that can make bad data look perfectly well behaved.
Why it mattersThe company says its tutorial shows checks that catch those failures. Its practical advice is to ask for typed rows using a strict JSON schema, then validate the result rather than trusting a clean-looking response.
Discuss: When AI turns documents into structured data, should validation be built into every workflow, even when the model appears to have succeeded?
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