What is an AI agent?
An AI agent is a system designed to pursue a goal through multiple steps. It can decide what action to take, use a tool, inspect the result and continue.
A simple example
A chatbot might give travel suggestions. An agent could search flights, compare options, open a booking site, fill information and ask you to confirm before a purchase.
The basic agent loop
Understand the goal, break it into steps, choose a tool, observe the result, correct the plan if necessary and ask for permission before sensitive actions.
Why browser use matters
Browser and computer-use capabilities let an agent interact with services that do not have a dedicated AI integration. This increases flexibility and also increases the consequences of mistakes.
What can go wrong?
An agent can misunderstand instructions, use the wrong account, expose private information or perform an action you did not intend. Good systems need permissions, confirmations, isolation and audit logs.
Meta Muse is a current example
Meta describes Muse as a personal AI agent that can work across connected apps and uses a dedicated secure virtual machine. It illustrates the transition from conversational assistants toward task-completing systems.
What users should do
Give agents the minimum permissions they need, review irreversible actions and check activity logs after long tasks.