Everyone can build an AI demo. Shipping reliable, safe, measurable LLM features is the hard part. This talk shares a practical framework for turning GenAI prototypes into production systems: defining success metrics, designing evals, reducing hallucinations, building feedback loops, and keeping cost/latency under control. Attendees will leave with a repeatable LLM product checklist and patterns they can apply immediately, whether they’re building copilots, search, support automation, or internal knowledge tools.