Interpretable Context Methodology: Folder Structure as Agentic Architecture
Interpretable Context Methodology: Folder Structure as Agentic Architecture
Abstract:
Current approaches to AI agent orchestration typically involve building multi-agent frameworks that manage context passing, memory, error handling, and step coordination through code. These frameworks work well for complex, concurrent systems. But for sequential workflows where a human reviews output at each step, they introduce engineering overhead that the problem does not require. This paper presents Interpretable Context Methodology (ICM), a method that replaces framework-level orchestration with filesystem…Show more