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The growing interest in the development of artificial intelligence (AI) agents is increasingly influencing socially significant domains such as public administration, education, and government services. In these areas, AI systems are expected to achieve high standards of performance, including accuracy, reliability, and contextual awareness, in order to support administrative processes and provide citizens with fast and dependable access to information. For this reason, selecting an appropriate model conception is...

Developing effective artificial intelligence agents requires more than selecting an appropriate language model. Agent performance is fundamentally constrained by the quality, structure, and accessibility of the underlying knowledge, making curated, continuously updated knowledge bases a core architectural component. While large language models, reasoning-oriented models, and research-focused models provide distinct capabilities for language understanding, reasoning, and summarisation, their practical effectiveness...