Four operational problems behind AI agents, and four public projects exploring them

AI agent demos tend to optimize for one thing: what the model can generate. Production systems fail somewhere else: at the boundaries around state, memory, retrieval, and authority. Over the last months, I have been building a small public portfolio around those boundaries. This is not a claim that the projects form one integrated stack. They are independent tools connected by the same engineering question: How can we give agents useful capabilities without giving them unrestricted authority…