QuestionQ94

Prompt Engineering & Structured Output

You are developing a structured data-extraction system with Claude. The system extracts information from unstructured documents, validates the output with JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must gracefully handle edge cases and integrate with downstream systems.

Your extraction pipeline processes restaurant menus and must produce structured JSON containing item names, descriptions, prices, and dietary tags. Some menus have inconsistent formatting—for example, prices may appear as "$12" or "12.00", and dietary information may be represented by icons or text.

What is the most reliable approach?

Explanation

A strict output schema enforces the required JSON fields and types, and explicit normalization rules in the extraction prompt establish one canonical representation for inconsistent inputs such as prices and dietary labels. This produces validated, downstream-ready data at the point of extraction.

Community Discussion

No comments yet. Be the first to start the discussion!