Researchers used synthetic personas based on Statistics Korea census data to ground AI agents in real-world demographics. This method reduces generic responses by simulating specific age, gender, and regional traits. It allows developers to test agent behavior across diverse user profiles. The approach improves persona consistency for localized LLM applications in South Korea.