Foundations
What Is Agentic AI?
A clear introduction to AI systems that pursue goals, use tools, and adapt across multiple steps.
The core idea
Agentic AI describes systems that do more than produce a single response. Given a goal, an agent can decide what to do next, use tools, inspect the result, and continue until it reaches an outcome or a stopping condition.
The agent loop
Most agents repeat a simple loop: observe the current state, choose an action, execute it, and evaluate what changed. The intelligence lies not only in the model, but also in the tools, instructions, memory, permissions, and control logic around it.
Where agents fit
Agents are useful when work is variable enough to require judgment but structured enough to verify. Research, support triage, coding, operations, and document workflows are common examples; high-stakes irreversible decisions need tighter human control.