What AI Agents Are and How They Differ From Traditional Chatbots

AI agents are software systems that use large language models to understand goals, select appropriate tools, take actions, and iterate until a task is completed — going beyond simple text generation. Unlike traditional chatbots that lack access to external systems, agents can call APIs, retrieve data, and reason across multiple steps autonomously. A key distinction is that the AI model handles reasoning and language, while the surrounding application manages access to databases, business tools, and security controls. However, experts caution that production-ready agentic systems must operate within defined boundaries, including permissions, cost controls, and human oversight. The concept represents a shift in software design — from explicitly programmed step-by-step instructions to goal-oriented systems that determine their own path to completion.