What Is Agentic AI?

Agentic AI refers to AI systems that can take actions in pursuit of a goal rather than simply producing single responses. An AI agent may: plan tasks, call external tools, retrieve information, interact with APIs, execute multi-step workflows. Agentic systems are often built by combining language models with orchestration frameworks and tool integrations. Examples of agent capabilities include: searching databases, generating reports, automating workflows, coordinating multiple models. While these systems are powerful, they introduce additional complexity. Evaluating an agent requires assessing not just outputs but also the sequence of decisions and actions taken during execution. Understanding and measuring agent behavior is becoming an important area of applied AI research.