The canonical integrity problem creates direct operational drag: narrative teams manually cross-reference thousands of assets, delaying releases and risking brand-damaging errors. A custom workflow automates this by ingesting new narrative content—dialogue files, quest scripts, codex entries—into an orchestrator (e.g., LangGraph) that manages specialized agents. These agents parse the content, extract entities and relationships, and query a central knowledge graph built from the existing lore bible. The system flags inconsistencies in real-time, preventing them from progressing to voice recording or asset creation, which saves weeks of rework and preserves narrative quality.




