# What is an AI Agent?

At its most basic level, an AI agent is a system designed to: Reason: Analyze and understand a problem. Plan: Develop a clear, step-by-step approach to solving it. Execute: Use available tools to implement the strategy. Reflect & Adapt: Review outcomes and adjust the approach as needed. These concepts can be seen in chatbots, copilots, customer service assistants, advanced robotics, and even self-driving cars. Beyond this core, you can enhance an AI agent’s capabilities by integrating: Persona: A language model prompt that gives the agent a personality and guidelines on how to present information. This may include speaking style, formatting guidelines, how the agent acts. Tools: Specialized modules or APIs that execute targeted tasks. Tools may include web browsers, external search APIs, code generation sandboxes and even other agents! Knowledge: Domain-specific information that strengthens decision-making. This might be stored in everything from raw text files, to relational databases, to vector storage for semantic retreival. Memory: Systems that retain context and previous experiences for improved future actions. This can include conversation memory and interaction history.