You are building a structured data extraction system using Claude. The system extracts information from…

Question

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

Your system has been operating with 100% human review for 3 months. Analysis shows that extractions with model confidence ≥90% have 97% accuracy overall. To reduce reviewer workload, you plan to automate high-confidence extractions.

Before deploying, what validation step is most critical?

Accepted Answer

B. Analyze accuracy by document type and field to verify high-confidence extractions perform consistently across all segments, not just in aggregate.

Answer

A. Verify that 97% accuracy meets requirements for all downstream systems that consume the extracted data.

Answer

C. Compare accuracy at different confidence thresholds (85%, 90%, 96%) to find the optimal cutoff that maximizes automation while minimizing errors.

Answer

D. Run a two-week pilot routing 25% of high-confidence extractions directly to downstream systems and monitor error reports.

Question 95