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JevMade field notes / Cascade walkthrough

SDE cascade

Runs a small model on a structured data extraction task, checks individual fields with Jev, and sends doubtful records to a reasoning model. It contrasts schema validity with factual correctness.

Original by TypeSafe AIExtractionTypeSafe cookbookSource reviewed

Before you dive in

What you’ll find in the original

  1. Verify extracted fields against the source, not just a JSON Schema.
  2. Use field-level signals to decide whether to accept or escalate.
  3. Read the deliberately fabricated valid-looking record and the 100-prompt comparison before adopting thresholds.
Worth knowing

The walkthrough deliberately uses a fabricated canonical error to expose the gap between valid JSON and correct extraction.