The definition of an agent may evolve as we explore the capabilities of AI, particularly in how they interact with users and perform tasks.

An agent is something a human can delegate tasks to, and we're aiming for agents to handle more complex tasks over time.

AI agents are often defined as systems that perform complex planning and interact with external systems, but this definition overlaps with many current language models.

An AI agent is defined as a system that allows a language model to autonomously decide how many times to run processes until it finds a resolution, rather than following a predefined path.

The concept of agents includes both those that replace human tasks and those that operate as low-level system processes, complicating the definition further.

Some argue that for something to be a true agent, it must be close to artificial general intelligence (AGI), capable of learning and working independently over time.

An example of an ambient agent is an email agent that drafts responses or sends calendar invites, maintaining human oversight through the agent inbox.

As AI models improve, agents are becoming more prevalent and capable, prompting the need for formal definitions to clarify their use.

The core AI agent acts as the brain of the system, handling logic, knowledge, and workflows, similar to how human agents are trained.