GermanyThe article discusses the architecture of smart systems based on artificial intelligence (AI), emphasizing that as AI systems become more advanced, relying solely on models is no longer sufficient. It explains that many applications start with a central model but improvise the rest, which works for answering questions but fails when systems need to act, make decisions, or coordinate multiple steps. Over time, this approach leads to instability through workarounds, special cases, and uncontrollable dependencies. The author argues that the real challenge in system design is building a stable structure that allows AI systems to evolve without breaking down. Modern AI systems are described as consisting of five distinct layers—presentation, orchestration, integration, knowledge, and infrastructure—each with specific responsibilities that collectively determine how intelligent and adaptable the system can be.
Bias read (Center): The article focuses on technical aspects of AI system architecture and does not engage with political issues, policies, or figures. There is no framing that suggests a political bias, and the content remains purely descriptive and analytical of technological concepts.
