How do AI Agents work?

AI agents perform tasks efficiently by following a structured approach. Here's a breakdown of their processes:

Goal Determination

AI agents start by receiving specific instructions or goals. They plan relevant tasks to make the outcome useful for the user, breaking down the goal into smaller, actionable tasks. The agent then performs these tasks in a specified order or condition to achieve the goal.

Information Acquisition

To execute planned tasks successfully, AI agents require information. For instance, they may need to extract conversation logs for sentiment analysis. Often, AI agents will access the internet to search and retrieve necessary data. They might also interact with other agents or machine learning models to share or gather information.

Task Implementation

Once an AI agent receives sufficient data, it methodically executes the task. After completing a task, it removes it from its list and proceeds to the next. The agent periodically evaluates its progress towards the goal by seeking external feedback and reviewing its logs. This evaluation may lead to the creation and execution of additional tasks to achieve the final objective.