Event-Driven Design, Not Prompts, Is the True Foundation of AI Agents

A perspective piece on DEV Community argues that the popular understanding of AI agents — centered on prompt-LLM-tool chains — misses a more fundamental trigger: real-world events. The author uses a recruitment workflow as an illustration, showing how actions like a candidate applying or an interview completing generate facts that drive subsequent decisions, with or without a language model involved. Under this view, an AI model is just one possible decision-maker within a larger event-driven process, not the core of the agent itself. The piece contends that events such as a customer message, a document upload, or a payment approval are what actually set agents in motion. The author concludes that reframing agents as event-driven decision systems — rather than prompt-response loops — offers a more accurate and practical foundation for building them.