Abstract
The article proposes a conceptual model of an intelligent agent that combines the method of Formal Concept Analysis (FCA) with the large language model DeepSeek. FCA formalises concepts and analyses data in the form of “object-attribute”. The article presents the theoretical foundations of FCA — formal contexts, concept lattices, Galois connections — and describes the capabilities of DeepSeek. The proposed hybrid model provides solutions to three classes of spatial development tasks: clustering of territorial objects, identification of implicative dependencies in spatial data, and decision support.