The workflow uses Lift to convert research PDFs into structured data while measuring field-level accuracy instead of relying on a single qualitative demo. It includes schema-guided extraction, synthetic reports, distractors, and queryable results.
That kind of controlled evaluation is important for document AI systems. Teams using LLMs on PDFs need to know which fields are reliable, where hallucinations occur, and whether extraction quality holds across documents.