Agentic AI

AI systems capable of autonomous action—perceiving their environment, making decisions, and executing multi-step tasks with minimal human intervention.

Agentic AI refers to AI systems that can autonomously perceive, plan, and take actions to accomplish goals—moving beyond simple prompt-response interactions.

Characteristics

• Goal-directed: Works toward objectives, not just responses
• Multi-step reasoning: Plans and executes sequences of actions
• Tool use: Interacts with external systems (APIs, databases, browsers)
• Memory: Maintains context across interactions
• Self-correction: Adjusts approach based on feedback

Examples

• Coding assistants that write, test, and debug autonomously
• Research agents that search, synthesize, and report findings
• Customer service agents that resolve issues end-to-end

Considerations

Agentic systems raise new questions about oversight, accountability, and unintended consequences. Alignment becomes critical when AI takes real-world actions.