Design Patterns for Agent Behavior: Reflex, Model-Based, and Utility Agents

Reflex Agents: Fast, Rule-Based Responses Reflex agents act based on immediate conditions using simple if-then logic. They don’t rely on memory or context, which makes them ideal for fast, repetitive automation tasks. Examples include filtering spam emails or triggering alerts in IT systems. Think of them as digital reflexes—quick and efficient, but limited in intelligence. […]

From LLM to Workflow: How Agents Take Action

LLMs Alone Are Not Enough Large Language Models (LLMs) are incredibly powerful, but on their own, they are simply advanced text generators. What makes them truly useful in real-world applications is their integration into AI agents—systems designed to take action, not just generate responses. What Makes AI Agents Different AI agents are built on top […]