What is an AI Agent?

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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 retrieval.
• Memory: Systems that retain context and previous experiences for improved future actions. This can include conversation memory and interaction history.