Anti-hallucination techniques work great in Jupyter. Production needs more: secure credentials, scalable databases, semantic tool routing, and business rules that change without code deploys.

This talk takes 5 techniques (GraphRAG, semantic tool selection, neurosymbolic guardrails, multi-agent validation, steering) and deploys them as a production agent. Steering rules live in a database, not code. The agent self-corrects via STEER messages, not hard failures. Live demo with 8 scenarios.

Outline:
• The Prototype-to-Production Gap
• Semantic Tool Routing via MCP Gateway
• Steering Rules in DynamoDB
• GraphRAG in Production
• Full Production Test
• Resources + Q&A