cyberneticlibrary

Plan complex multi-step projects

blueprintskillsetup L20
Sheshiyer/skill-clusters
What it does

Extract structured facts from unstructured text via LLM with schema

Best for

Converting unstructured notes or reports into queryable structured data at scale with confidence tracking.

Inputs
  • · document text
  • · target schema (field names and types)
Outputs
  • · structured JSON facts
  • · per-fact confidence scores
Requires
  • · LLM API with structured output support (JSON schema)
Preconditions
  • · document text is in LLM training language
  • · schema is unambiguous
Failure modes
  • · LLM hallucination if document lacks stated fact
  • · ambiguous schema interpreted differently
  • · low confidence scores indicate unreliable extraction
Trust signals
  • · JSON schema validation
  • · per-fact confidence scores
  • · extraction examples in prompt
  • · handles missing fields gracefully