AI BriefingWhat Is an AI Agent?
Key point
Rather than defining AI agents strictly, the concept of 'Agentic'—how autonomously a system operates—matters more.
Details
Definitions of AI agents vary from person to person, but from a technical perspective, an agent refers to a system that uses an LLM to determine the control flow of an application.
From simply routing input to a specific workflow, to creating tools, remembering, and executing on its own, Agentic has various stages like a spectrum.
- Router: The LLM routes input to a specific path
- State Machine: The LLM loops and decides whether to continue execution
- Autonomous Agent: Creates tools, remembers, and performs tasks on its own
The higher a system's agentic level, the more considerations are needed during development and operation. An orchestration framework for complex logic, Durable Execution for long-running processes, and an Evaluation Framework to verify the efficiency of intermediate steps are all essential.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.