How One Team Built a Hallucination-Proof AI Property Search for Northern Cyprus

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A development team has built an AI-native real estate platform for Northern Cyprus that strictly separates language understanding from data sourcing to prevent AI hallucinations. The system uses a large language model only to interpret natural-language queries and convert them into structured search objects, while all property facts — prices, availability, and legal details — are sourced exclusively from a verified database. This architecture addresses a core risk in AI-assisted real estate: a fluent-sounding but fabricated response could influence high-value financial and legal decisions. The platform supports conversational queries such as 'a modern two-bedroom apartment in Kyrenia below £180,000 near the sea,' extracting both explicit and implicit preferences into a validated schema before any database lookup occurs. Application-level validation sits between the model's output and the database query, catching malformed, contradictory, or unsupported values before they reach users.

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