What is agentic AI?
The category term for AI that plans and acts, rather than responding turn by turn.
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What is agentic AI?
Agentic AI describes systems that plan a sequence of actions toward a goal, carry them out using tools and external systems, observe what happened and adjust — operating with limited step-by-step supervision rather than waiting for each instruction.
Plan, act, observe, adapt
The loop is what makes it agentic. A model given a goal decides on a first action, runs it, reads the result, and decides again. That cycle lets it handle work where the right next step depends on what the previous one returned.
It also means errors compound. A wrong turn early can send the whole sequence somewhere unhelpful, which is why step limits and checkpoints matter more here than in single-response systems.
How autonomous should it be?
Autonomy is a dial, not a switch. Most production systems sit well below full autonomy: the agent proposes and a human approves anything consequential, or it acts freely within a narrow set of reversible operations.
The right setting follows from the cost of a wrong action. Reversible and cheap — let it run. Irreversible or expensive — require approval.
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