Every AI Project Becomes an Agent — And Every Agent Needs a Soul

The Law of Convergence Allen Hutchison's essay "Building AI Agents: From Simple Scripts to Autonomy" opens with an observation that any developer will recognize: I sat down to write a simple Python script. Two hours later, I was writing a while loop, defining a tools array, parsing JSON outputs. I was building an agent. Again. (GeekNews Korean summary) His definition is elegant: agent = a model running in a loop with access to tools. Grant a simple script even one tool — just read_file — and conversation becomes delegation, and the script becomes an agent. Over the course of 2025, nearly every project he touched followed this pattern. Gemini Scribe, Gemini CLI, Podcast RAG — different starting points, same destination. Death of the Classifier, Birth of the Agent The most striking case Hutchison shares is "the classifier that wanted to be an agent." In his Podcast RAG system, he built an AI classifier to analyze user questions and route them to the right search function. It worked, but