Overview
AI agents are systems designed to perceive information, make decisions, and take actions toward specific goals.
Lily-Rose Chedjou
Feb 17, 2026
Understanding AI Agents
AI agents are systems designed to perceive information, make decisions, and take actions toward specific goals. Unlike traditional software, they operate with a level of autonomy, adapting their behavior based on context and feedback.
How Agents Differ from Traditional AI
While earlier AI systems focused on prediction or classification, modern agents combine reasoning, memory, and tool usage. This allows them to execute multi-step tasks rather than producing single responses.
AI agents solve complex tasks across enterprise applications. They use the natural language processing techniques of large language models (LLMs) to comprehend and respond to user inputs step-by-step and determine when to call on external tools.
Why They Matter
AI agents are becoming foundational to modern software, helping organizations automate workflows, accelerate research, and augment human decision-making.
