A Pattern Language for Knowledge Engineering with Large Language Models

Formal Representation

Constrains output to a rule-governed symbolic form (for example JSON, SQL, DOT) so meaning is carried by structure rather than prose.

Problem

Prose descriptions of rules, states, and dependencies are readable but ambiguous and hard to validate programmatically.

Solution

Constrain output to a rule-governed symbolic form (JSON, SQL, DOT, Mermaid, etc.). Syntax carries explicit relationships, enabling validation, parsing, rendering, and execution.