Structured Data Extractor

Summary

A tool that pulls structured fields (names, dates, amounts) out of unstructured text like invoices or emails — a common, high-value real-world LLM application.

• 1Define a strict output schema and use structured-output mode to extract fields reliably.
• 2Test against messy, real-world input text, not just clean examples.
• 3Add validation and a fallback path for fields the model couldn't confidently extract.