Researchers used synthetic personas based on real demographic data to improve the cultural grounding of Korean AI agents. This approach reduces hallucinations by providing models with specific socio-economic contexts. The method allows developers to simulate diverse user profiles without compromising privacy. It offers a scalable template for localizing agents in non-English speaking markets.