Policy driven AI middleware and agent system with deterministic routing structured tool orchestration SPO based fact extraction crosssource conflict detection agreement scoring bounded reconciliation loops memory guided strategy bias and execution aware planning transforming LLM outputs into a controlled self correcting verifiable reasoning and decision engine across dynamic real world tasks
user query → policy decision engine → tool routing → multi-source orchestration → structured extraction (SPO + numerics + entities) → conflict detection (numeric + semantic) → evaluation + reconciliation controller → memory guided synthesis → final answer
