Your anti-hallucination techniques look great on your laptop: the agent pulls precise answers, blocks bad operations, and catches made-up data. Then you ship, and the notebook falls apart: hardcoded keys, data that only lived in memory, no way to see what happened. This talk takes five anti-hallucination techniques from demo to deployed agent: answers pulled from a knowledge graph instead of guessed, tool routing by meaning without a custom index, rules in a database you change in seconds without shipping code, self-corrected near-misses, and cross-agent checks. You see them run together on a hotel booking agent against real hallucination attempts, and you leave with the full architecture you can deploy yourself.

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