Glossary

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Agent Runtime

An agent runtime is the execution environment and control infrastructure that allows an agentic AI system to run continuously, manage state, invoke tools, and progress through tasks.

Agent Simulation

Agent Simulation refers to the use of controlled, synthetic, or sandboxed environments to test, evaluate, and refine the behavior of agentic AI systems before or during real-world deployment.

Agentic AI refers to AI systems designed to pursue goals and take actions, often across multiple steps, rather than only generating a single response. An agentic AI system can interpret an objective, break it into sub-tasks, decide what to do next, execute actions (often using tools), evaluate outcomes, and adjust its plan based on feedback.

AI Agent

An AI agent is a goal-directed AI system that can plan, take actions, use tools, and adapt based on feedback to achieve an objective. Unlike a traditional chatbot that primarily responds to prompts, an AI agent is designed to operate across multiple steps, often over longer time horizons, by deciding what to do next and executing actions to move toward a defined goal.