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

The idea of agents as human replacements is a misconception; many existing systems, like customer support automation, have been in place for years without fully replacing human roles.

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.

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

AI agents are often marketed as capable of replacing human workers, but the reality is that they may only enhance productivity rather than fully replace jobs.

The line between simple automation and AI agents is not always clear, but task-specific agents can significantly enhance productivity.

AI agents can navigate multiple systems, understand context, and execute tasks that previously required human intervention, marking a significant shift in back-office operations.

The distinction between agents and functions is blurred, as both can involve multiple functions with language models in the middle, making them appear similar from an external perspective.

A simple definition of an agent is a clever prompt on top of a knowledge base or context, resembling a human agent's interaction.