Definition
The agentic loop describes the cyclical process an AI agent follows to achieve a goal. It typically involves observing the environment, making a decision or plan, taking an action, and then observing the results to inform the next step.
Why it matters (in Poovi’s context)
Understanding the agentic loop is fundamental to designing and utilising AI agents effectively, as it outlines the core mechanism by which they operate and learn.
Key properties or components
- Observation
- Planning
- Action
- Feedback
- Iteration
Contradictions or debates
None.