• Why Hyperscalers Are Now Discovering the Knowledge Layer for AI Agents

    Why Hyperscalers Are Now Discovering the Knowledge Layer for AI Agents

    When I look at what Google is addressing with its knowledge approach, and what AWS is now adding with Context Intelligence and Continuum, one thing is clear to me: what’s emerging here isn’t just a handful of new features. The focus of entire agent architectures is shifting. It moves away from the question of how…


  • Open Knowledge Format and Ogham: How Knowledge Becomes Truly Usable for LLMs and Agents

    Open Knowledge Format and Ogham: How Knowledge Becomes Truly Usable for LLMs and Agents

    Open Knowledge Format promises open, linked knowledge for LLMs and agents. That makes sense – but it only solves part of the problem. In this article, I explain why OKF and Ogham are not opposites, but address two different layers of knowledge – and why good knowledge artifacts alone do not yet create an agent-ready…


  • Discipline does not emerge by convincing the agent

    Discipline does not emerge by convincing the agent

    Discipline does not emerge by convincing the agent – it emerges by removing the choice In my last article, I wrote about the memory problem in AI agents. Why they forget. Why that is not a bug, but architecture. And why a central experience store is the right direction. The most common reaction to that…