An AI agent is a practical application of artificial intelligence that takes the potential of AI and turns it into action. While AI itself is intelligent, it’s an AI agent that gets things done. Imagine AI as a genius with many ideas and the agent as the one who actually carries out tasks, like answering questions or automating work. The AI agent follows a process: it first understands what you ask, then thinks about the best solution, and finally acts on it by delivering results. Developers train AI agents by giving them instructions based on data, which allows them to respond appropriately to different situations. The AI agent’s workflow includes an interface, where users interact with it, and behind that interface, there’s a series of steps or decisions that the agent makes to deliver results. Over time, AI agents improve by learning from past interactions, becoming smarter with each use.
Vocabulary:
• agent (noun): A person or thing that acts on behalf of something or someone else.
• intelligence (noun): The ability to learn, understand, and apply knowledge.
• task (noun): A specific job or responsibility to be completed.
• automate (verb): To make something happen without needing a person to control it.
• interface (noun): The way two systems or things connect or interact.
• workflow (noun): A series of tasks or processes that are followed to complete something.
• preprogrammed (adjective): Already set or programmed before being used.
• customizable (adjective): Able to be changed or modified to fit specific needs.
• process (noun): A series of actions or steps taken to achieve a result.
• node (noun): A point in a process or system where something is processed or decided.
• input (noun): Information or data that is entered into a system or process.
• output (noun): The result or product of a process.
• learn (verb): To gain knowledge or skills through experience or study.