Agentic AI

The broad category of AI systems that plan steps, use tools, and take real-world actions on their own.

Agentic AI is the umbrella covering any system that can act independently: agents that loop through multi-step tasks, assistants that call tools for external information, and automated workflows where AI makes decisions at each stage. A chatbot that summarizes your email is passive. A system that reads your email, drafts a reply, checks your calendar, and schedules a follow-up meeting is agentic. The more autonomy you give these systems, the more each uncertain model decision can trigger a real, hard-to-reverse action.

Builder example

Good prompts are the starting point. You also need permissions (what can the AI do?), logging (what did it do?), approval gates (when should it ask first?), and rollback plans (how do you undo a mistake?). Skipping any of these creates blind spots that grow more dangerous as the system's autonomy increases.

Common confusion: Agentic does not mean fully autonomous. Most useful agentic products are partially autonomous: the AI handles routine steps on its own and escalates to a person for high-stakes decisions.