What Are Agents and Agentic AI?

A clear explanation of agents, agentic AI, tools, memory, planning, feedback loops, and how autonomous AI workflows are built.

An AI agent is a system that can reason about a goal, decide what steps to take, call tools, observe results, and continue until the task is complete or blocked.

Agentic AI is the broader pattern: models are not just answering prompts, they are operating inside workflows with tools, memory, state, permissions, and feedback.

A useful agent needs boundaries. It should know its goal, available tools, when to ask for help, what actions are risky, and how to verify its own work.

The best agentic systems are not magic chatbots. They are carefully designed loops that combine reasoning, retrieval, APIs, code execution, and human review.