Artificial intelligence is moving beyond answering questions.
On September 8, 2026, Meta introduced Muse, a personal AI agent designed to do tasks on a user’s behalf rather than simply provide answers. Muse can browse the web, interact with websites, connect to selected apps, send emails, book travel, make purchases, create documents, set reminders, and continue working on tasks in the background.
That makes Muse different from a conventional chatbot. Instead of asking an AI to explain how to complete a task, users can give Muse the task and let it work through the steps.
But what exactly can Meta Muse do, and why does its launch matter?
What Is Meta Muse?
Meta Muse is a personal AI agent developed by Meta to complete tasks for users across the web and connected applications.
Muse is powered by Muse Spark, Meta’s model designed for real-world agentic work. It can understand a user’s request, determine the steps required, use available tools, and act within the permissions given by the user.
Users can interact with Muse through the dedicated Muse app or WhatsApp. Meta is initially rolling it out in the United States, with availability planned to expand.
The key idea is simple:
A chatbot gives you an answer. An AI agent can take action.
What Can Meta Muse Actually Do?
1. Browse the Web and Complete Tasks
Muse has its own browser running inside a dedicated virtual machine. This allows it to navigate websites and perform tasks such as filling out forms, booking appointments, and handling customer-service interactions.
For example, instead of searching for an appointment and then manually completing the booking process, a user can ask Muse to handle the task.
The agent works through the required steps rather than simply returning a list of websites.
2. Book Travel
Travel planning is one of the clearest examples of agentic AI.
Muse can help research and plan travel and can perform tasks such as booking travel when the necessary access and permissions are available.
A traditional chatbot might provide:
- Flight suggestions
- Hotel recommendations
- Destination information
- A proposed itinerary
Muse is designed to go further by acting on the user’s instructions.
This could eventually turn travel planning from a multi-tab research process into a conversation followed by automated execution.
3. Send Emails
Muse can work with connected email accounts and, depending on the permissions granted, read or send emails.
For sensitive actions such as sending an email, Muse is designed to ask for user approval before proceeding. Users can also control what access it has to connected services.
This distinction is important.
The user remains in control of whether Muse can:
Read information
Take an action
Send information to someone else
This permission-based approach is particularly important for an AI that can act independently.
4. Make Online Purchases
Muse can also assist with shopping.
It can search for products, compare options, and complete purchases when the user gives the necessary permission. Meta says Muse uses a one-time card number at checkout so that the user’s real payment details are not exposed to the agent or merchant.
This could make AI shopping considerably more practical.
Instead of:
Search → Compare → Open website → Add to cart → Enter details → Pay
the process could become:
Tell Muse what you need → Review options → Approve purchase
That is a significant shift in how consumers may interact with online stores.
5. Work With Connected Apps
Muse can connect to applications that people use every day, including email, calendars, and Instagram, with additional services supported through connectors.
This allows it to combine information from different parts of a user’s digital life.
For example, Meta says Muse could take a recipe saved on Instagram, turn it into a grocery list, suggest a menu, remember dietary restrictions, and help organise a dinner event.
The important capability here is not simply integration.
It is cross-application task completion.
Muse Can Work in the Background
One of Muse’s more important features is that it does not necessarily stop working when the user closes the app.
Meta says Muse can continue working in the background on tasks and goals. For example, a user could ask it to monitor weather conditions and alert them if rain is expected.
This introduces another difference between chatbots and agents.
A chatbot generally waits for the next interaction.
An agent can:
Receive a goal → create a plan → perform tasks → monitor progress → report back
That model could become increasingly important as AI agents become more capable.
Muse Can Build Its Own Tools
Muse is not limited to a fixed list of functions.
Meta says that when a task requires a tool that does not already exist, Muse can build one for itself.
This is particularly interesting from a developer perspective.
Instead of requiring a human developer to create every small utility an AI agent might need, the agent can potentially create tools as part of completing a task.
This capability could make AI systems more adaptable to unusual or personalised workflows.
Muse Remembers What Matters to You
Muse is designed to use information from previous interactions to personalise its assistance.
Meta says it can remember relevant details and use them when making future suggestions or carrying out tasks. Users can also ask Muse to forget specific information.
This creates a more personalised form of AI.
For example, an AI that knows a user’s preferences could make better recommendations than one that starts from zero every time.
However, personalisation also raises an important question:
How much personal information should an AI agent have access to?
How Does Muse Protect User Data?
Because Muse can access personal applications and take actions, security is a major part of its design.
Meta says Muse operates inside a dedicated Secure Virtual Machine, which houses the agent and the user’s data. A separate system called Sentinel monitors Muse’s actions and controls whether it can access the internet.
Meta also says users can:
- Choose which applications Muse can access
- Set permissions for connected services
- Disconnect services
- Review an audit trail of actions
- Approve sensitive actions
- Ask Muse to forget information
- Opt out of their interactions being used to train Meta’s AI models
Meta says it plans to introduce Muse Confidential VM, which will encrypt the entire virtual machine using a key controlled by the user.
Why Are Permissions So Important?
Giving an AI the ability to answer a question is relatively low risk.
Giving an AI the ability to send an email, access a calendar, make a purchase, or interact with a website is very different.
An agent needs permission to take actions, and those permissions can potentially create security and privacy risks.
Meta has acknowledged that building Muse involved dealing with security and reliability challenges. Its safety research describes the difficulties of allowing an agent to operate with access to inboxes, calendars, computer environments, and other tools.
This means the future of AI agents will depend not only on how intelligent they are, but also on how securely they operate.
Meta Muse vs a Traditional AI Chatbot
The difference can be simplified like this:
| Feature | Traditional Chatbot | Meta Muse |
| Answer questions | Yes | Yes |
| Generate content | Yes | Yes |
| Browse the web | Sometimes | Yes |
| Use connected apps | Limited | Yes |
| Complete multi-step tasks | Limited | Yes |
| Make purchases | Usually no | Yes, with approval |
| Send emails | Usually no | Yes, with approval |
| Work in the background | Limited | Yes |
| Set and track goals | Limited | Yes |
| Take actions on websites | Limited | Yes |
The biggest difference is agency.
A chatbot mainly responds to instructions.
Muse is designed to interpret an objective and take multiple actions to achieve it.
What Does Meta Muse Mean for Businesses?
Although Muse is primarily positioned as a personal AI agent, its technology points toward a much broader change in how people interact with businesses.
Customers may increasingly stop navigating websites themselves.
Instead of visiting a travel website, comparing dozens of options, completing forms, and checking out, they could ask an AI agent to find the right option and complete the process.
This could affect:
- E-commerce
- Travel
- Banking
- Customer service
- Advertising
- Booking platforms
- Online marketplaces
- SaaS products
- Digital marketing
For businesses, this means websites and applications may need to become easier for AI agents as well as humans to interact with.
That is an important development for digital product design.
What Does Muse Mean for Digital Marketing?
AI agents could also change how consumers discover brands.
Today, a customer might search Google, browse social media, visit several websites, compare products, and then make a decision.
An AI agent could increasingly perform some of those steps.
This creates a new question for marketers:
How does a brand become the option an AI agent recommends?
Search visibility may therefore evolve beyond traditional SEO.
Businesses may need to think about:
- Structured product information
- Accurate pricing and availability
- Clear service information
- Strong brand reputation
- Trust signals
- Reviews
- First-party data
- AI-readable content
- Search and AI visibility
This is one reason the growth of AI agents is closely connected to the evolution of SEO and Generative Engine Optimisation (GEO).
What Are the Limitations of Muse?
Despite its capabilities, Muse is not a perfect autonomous worker.
AI agents can make mistakes, misunderstand instructions, encounter website changes, or fail when a process behaves unexpectedly.
There are also security concerns when an AI has access to multiple applications.
Meta has built controls around Muse, including permission settings, approvals, monitoring, and an audit trail. However, independent reporting has highlighted reliability and security concerns discovered during testing, demonstrating that agentic AI remains an evolving technology.
Users should therefore treat an AI agent differently from a simple chatbot.
The more authority an AI has, the more important permissions, monitoring, security, and human oversight become.
Is Meta Muse Available Now?
Meta began rolling out Muse in the United States through its dedicated app, website, and WhatsApp. It is also planned for AI glasses. Meta says the service is free within usage limits, with subscription options available for users who need more usage.
Availability and features may vary by location and continue to change as Meta expands the product.
Frequently Asked Questions About Meta Muse
What is Meta Muse?
Meta Muse is a personal AI agent that can perform tasks on behalf of users. It can browse the web, interact with websites, connect to applications, create content, set reminders, and complete certain actions with user permission.
What is the difference between Meta Muse and Meta AI?
Meta AI is Meta’s general-purpose AI assistant. Muse is focused more specifically on agentic task completion, where the AI can plan and take actions across the web and connected services.
Can Meta Muse send emails?
Yes. Muse can work with connected email services and can send emails when the appropriate permission is granted. Meta says it asks users for approval before sensitive actions such as sending emails.
Can Meta Muse make purchases?
Yes. Muse can assist with online purchases and complete eligible transactions with user approval. Meta says its shopping system uses a one-time card number at checkout to protect payment information.
Can Meta Muse work while I am away?
Yes. Muse is designed to continue working on tasks in the background, including monitoring certain goals and notifying users when something relevant happens.
Is Meta Muse available worldwide?
Not yet. Meta’s initial rollout is in the United States, with expansion planned. Availability should be checked directly through Meta’s current Muse information before attempting to use the service.
Is Meta Muse safe?
Meta has built Muse with dedicated security measures including Secure VM, Sentinel, user permissions, approvals for sensitive actions, and activity auditing. However, because Muse can take real-world digital actions, users should still carefully manage its permissions and access.
Conclusion
Meta Muse represents a significant step in the development of AI agents.
Its most important feature is not simply that it can generate text or answer questions. It can take a user’s objective, work through multiple steps, use a browser and connected applications, and complete actions on the user’s behalf.
That could change how people shop, travel, manage information, communicate, and interact with online services.
For businesses, the implications are equally important. As consumers increasingly rely on AI agents to search, compare, recommend, and transact, companies will need to think about how their websites, products, services, and digital information can be discovered and used by both people and AI systems.
The transition from AI that answers to AI that acts is already underway.
Meta Muse is one of the clearest examples of where that transition is heading, but the larger story is only beginning.
