Muse, Meta’s AI agent, is redefining workplace automation

Meta has launched Muse, an AI-powered personal assistant that goes beyond answering questions. It operates in its own virtual environment, with its own browser, and can connect to everyday services. The user describes the desired task, and the agent takes over part of the execution, allowing the professional to focus on higher-value activities.

Research and project analysis

One of Muse’s key functions is to conduct complex research involving multiple steps. Instead of requesting just a single answer, the user can ask the system to gather information about a market, organize references, and synthesize key points. The agent navigates the internet autonomously during this process. While the time savings are significant, the results still require human review to validate data, sources, and interpretations before being incorporated into documents or decisions.

Calendar and task management

Muse can also be integrated with calendars and goal management systems. It tracks reminders, deadlines, and tasks, allowing users to delegate appointment organization and the structuring of steps needed to achieve goals. This capability transforms the assistant into a task executor, not just a request recorder.

Document creation

Another application is generating files based on user requests. The agent can produce documents using information obtained during research, but the professional still needs to define the purpose, target audience, context, and quality criteria. Review remains essential to prevent errors from being incorporated into the final material.

Automation of repetitive activities

Muse is designed to perform web actions, fill out forms, and interact with connected services, which is especially useful for tasks with predictable steps. Time-consuming administrative activities that require little decision-making can be delegated to the agent. The user describes the expected outcome and monitors the execution, intervening only when necessary.

Continuity of tasks outside working hours

Unlike a conventional chatbot, Muse can remain active after the user closes the application and resume execution when a task progresses or requires approval. This allows long processes, such as extensive research, to continue while the professional focuses on other activities. However, it is essential to control the access levels granted to the agent, as it can act on behalf of the user.

Transforming goals into action plans

The system was also developed to handle long-term goals. It can convert a goal into a personalized plan, coordinating resources and tasks to drive execution. For professionals, this means breaking projects into steps, organizing priorities, and tracking what still needs to be done. The focus shifts from just generating answers to conducting a complete workflow.

Creating tools on demand

Meta claims that Muse can create its own tools when it identifies that a task requires a non-existent resource. It can also connect to applications already used daily, expanding the concept of automation. Instead of relying solely on pre-existing functionalities, the agent adapts its performance to the user’s needs.

This evolution aligns with a broader market trend. Microsoft’s Work Trend Index 2026 study analyzed productivity signals in Microsoft 365 and interviewed 20,000 workers using AI in ten countries. According to the research, 66% of these users stated that the technology allowed them to spend more time on higher-value activities. AI agents are being incorporated into workflows involving analysis, problem-solving, and task execution. In this context, knowing how to delegate to AI, monitor results, and review deliverables becomes an essential part of professional technology use.

For professionals, the main challenge now is identifying which activities can be delegated without compromising control, quality, and information security. Muse represents a step forward, offering not just conversation but the ability to deliver a task and track its execution in real time.