This article examines the fundamental shift in the perception of artificial intelligence—the shift from simple prompt-driven tools to autonomous agents acting as digital workers. The author provides a detailed discussion of the technical aspects of this transformation, including the RAG architecture, the use of embeddings, and the importance of the Model Context Protocol (MCP) in building secure and open AI ecosystems. The article emphasizes that AI is no longer a mere add-on but a new layer of cognitive organization, taking on predictive and decision-making functions. It highlights the need to shift from a magical perception of prompts to precise systems engineering. The challenges of security, data jurisdiction, and avoiding vendor lock-in in modern semantic architecture are also discussed. This is essential reading for those designing the future of human-machine interaction.
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