Overview
An AI agent is a system, not merely a model. The language model provides reasoning, but tools, memory, files, instructions, planning, and completion criteria make that reasoning operational.
The agent repeatedly observes its context, thinks about the next step, acts through a tool, and observes the result. The loop continues until the definition of done has been satisfied.
The main advantages of agentic systems are autonomy, tool use, accumulated context, and parallelization. Different platforms expose these capabilities through different interfaces, but the underlying operating model is transferable.
The user who masters Agentic AI does not merely write clever prompts. The user defines goals, manages context, creates completion standards, supervises plans, and designs an architecture in which the model can act effectively.