AI in AEC: from visual programming to AI agents

Grasshopper and Dynamo have taught many AEC professionals to break down complex problems into nodes, connections, and rules. This way of thinking now offers a natural bridge to understanding AI agents: systems configured through instructions, context, tools, and boundaries, always under human validation.The visual logic is no longer limited to transforming geometry; it also allows for the representation of how information flows and is organized within automation. n8n brings these ideas together in a visual environment where it is possible to connect data, applications, and AI components to address recognizable tasks in architecture, engineering, and construction without replacing professional judgment.The talk is aimed at AEC professionals and students, both those who have already explored Grasshopper, Dynamo, or other visual programming tools and those approaching these concepts for the first time. No prior programming knowledge is required; just an interest in understanding how node and flow logic can extend towards automation and AI agents with n8n.