Meta Muse AI Agent Launches: It Can Send Emails, Book Travel and Make Purchases — But Can Users Trust It?

September 9, 2026 Kiran

Meta has launched Muse, a personal AI agent designed to do more than answer questions. The new AI can send emails, book travel, fill out forms, make purchases and work on tasks in the background. But with that level of access comes a major question: how much personal data are users willing to hand over to an AI agent?

The AI race is entering a new phase. Instead of simply asking chatbots questions and receiving answers, users are increasingly being offered AI systems that can take action on their behalf.

Meta has now entered that space with Muse, its new personal AI agent unveiled on September 8, 2026. The company describes Muse as an AI that can actually get work done rather than simply provide information. It can handle tasks such as sending emails, booking travel, opening websites, filling out forms and making purchases.

However, Muse’s launch is also raising an important issue for the future of agentic AI: will people trust an AI system enough to give it access to their email, calendar, shopping accounts, payments and other personal services?

What Is Meta Muse?

Muse is designed as a personal AI agent rather than a conventional chatbot.

Users can communicate with it in natural language through the dedicated Muse app or WhatsApp. Instead of providing a list of instructions for every step, users can give Muse a broader objective and allow it to determine how to accomplish it.

For example, rather than asking for recommendations for a trip and then booking everything manually, a user could give Muse a travel-related goal and allow the agent to work through the necessary steps.

Meta says Muse can develop personalised plans, coordinate resources and continue working even after the user closes the app. It can return when circumstances change or when human approval is required.

What Can Muse Actually Do?

Meta is positioning Muse as an AI that can handle everyday digital work.

Some of its capabilities include:

Sending emails
Booking travel
Opening and navigating websites
Filling out online forms
Making purchases
Helping sell items such as a car
Negotiating on a user’s behalf
Monitoring longer-running tasks
Creating personalised plans
Remembering user preferences
Turning saved content into actionable plans

Meta says Muse can also continue working in the background on tasks that require more time. For sensitive actions, such as sending an email or making a purchase, the system can ask the user for approval.

This is a significant shift from the traditional chatbot model, where the user remains responsible for executing virtually every action after receiving an AI-generated answer.

Muse Can Work Across Multiple Apps

One of the most important aspects of Muse is its ability to work across the services people already use.

Meta says users can decide which apps and services Muse can access and can control the level of permission it receives. This can include categories such as email, calendars, shopping and payments. Access can also be revoked.

This creates the biggest difference between an ordinary AI assistant and an autonomous personal agent.

An AI that tells you how to book a flight only needs information.

An AI that actually books the flight needs access and authority.

That distinction makes security and privacy central to Muse’s success.

Meta Built a “Secure VM” for Muse

To address those concerns, Meta says Muse operates inside a dedicated virtual machine called Muse Secure VM.

The company describes this environment as a dedicated cloud-based computer where the agent and a user’s connected data can operate in isolation. Muse also has its own browser for carrying out tasks.

Meta has also built a separate monitoring system called Sentinel.

According to Meta, Sentinel operates separately from Muse and controls whether Muse can reach the internet. It can also require the user’s permission before certain actions are completed.

The company says Muse does not directly see users’ passwords or payment details. Credentials are kept in secure storage so the agent can use connected services without directly exposing those details to the model.

Muse Can Ask Before Sending an Email or Buying Something

Meta has designed Muse around the idea that users should retain control over consequential actions.

For example, the agent can work through a task independently but ask for approval before sending an email or completing a purchase.

Users can also see an audit trail of actions taken or planned by Muse. They can choose which applications the agent can access and determine what it is allowed to do within those services.

This approval mechanism could become one of the most important parts of consumer AI agents.

People may be comfortable allowing AI to search for a flight or draft an email. They may be considerably less comfortable allowing it to actually send the email or spend their money without supervision.

Meta Muse Uses AI to Remember User Preferences

Muse is also designed to remember information that users share during interactions.

Meta says the agent can use information mentioned previously to make suggestions or perform future tasks. For example, it could turn a recipe a user saved on Instagram into a grocery list or remember dietary restrictions while helping organise a dinner.

This memory is intended to make Muse more useful over time.

But it also introduces another trust question.

The more useful an AI becomes because it remembers personal information, the more important it becomes for users to understand what the AI remembers, where that information is stored and how it is used.

Meta says users can ask Muse to forget specific information and can opt out of having their interactions used to train Meta’s AI models.

Muse Can Make Online Purchases

Muse is also designed to handle payments.

Meta has partnered with Stripe’s Link infrastructure for agent-driven purchases. According to Meta, Link can generate a one-time-use card number so a user’s actual payment details are not repeatedly entered across websites.

Meta says Muse will initially support Link, while Shop Pay and 1Password integrations are planned.

The payment capability is particularly important because it moves AI agents from simply interacting with information to changing real-world financial outcomes.

Why People Are Questioning Whether Muse Can Be Trusted

The biggest challenge for Muse may not be its capabilities. It may be consumer confidence.

Giving an AI access to an email account is very different from asking it to write an email.

Giving an AI permission to access a shopping account is different from asking it to recommend a product.

And allowing an AI to make purchases or interact with financial services creates an even higher level of risk.

Meta is therefore trying to convince users that Muse has sufficient safeguards to operate safely.

But reports around internal testing have also highlighted why those concerns exist.

According to Reuters, some Meta employees reported reliability problems and security issues during testing, including cases in which the system behaved unexpectedly around sensitive data. Other testers reported that Muse could be useful for complex tasks such as arranging travel, while also experiencing failures and interruptions.

Meta says it delayed the product’s earlier planned release to improve security before deciding that Muse had reached the minimum safety threshold required for launch.

Meta Says Muse Is Designed With Privacy in Mind

Meta has made privacy a central part of the product’s pitch.

The company says users remain in control of connected services, can change permissions, can disconnect services and can opt out of AI training.

Meta also says Muse conversations and data stored within the Muse virtual machine are not shared with its advertising systems.

The company is planning an additional privacy feature called Muse Confidential VM later this year.

Meta says the future system will encrypt the entire virtual machine, including user data and conversations, using a key controlled by the user. The company says this would prevent even Meta from accessing the contents of that environment.

When and Where Is Meta Muse Available?

Muse is initially rolling out in the United States.

Meta says it is available on iOS and Android through the dedicated Muse experience, as well as through its website and WhatsApp. The company also plans to bring Muse to its AI glasses.

The basic version is free for most users, while Meta is also offering paid subscription options for people who want to perform more tasks. Reuters reported that the company plans subscription tiers priced at $20 and $100 per month for heavier usage.

Meta Muse vs Traditional Chatbots

Feature	Traditional AI Chatbot	Meta Muse
Answers questions	Yes	Yes
Generates content	Yes	Yes
Sends emails	Usually requires user action	Can do it on user’s behalf
Books travel	Provides assistance	Can perform the task
Fills online forms	Limited	Yes
Makes purchases	Generally user-controlled	Can complete purchases with approval
Works in the background	Limited	Yes
Remembers preferences	Varies	Designed around persistent memory
Accesses third-party services	Limited	User-controlled app connections
Acts autonomously	Limited	Core purpose

The key distinction is simple: chatbots primarily generate responses, while agents are designed to execute tasks.

Is Meta Muse the Future of Personal AI?

Meta clearly believes it is.

The company is positioning Muse as an early step toward what CEO Mark Zuckerberg has described as personal superintelligence — AI capable of helping people manage a much broader range of personal and digital tasks.

If agents become reliable enough, users could eventually delegate many repetitive online activities to them.

Instead of spending an hour comparing travel options, an AI could do the research.

Instead of repeatedly checking whether tickets are available, an agent could monitor availability.

Instead of manually organising shopping lists, calendars and reminders, the AI could coordinate them.

But the technology only works if users are comfortable giving AI systems meaningful authority.

The Biggest Test for Muse Is Trust

Meta’s Muse launch represents a major step in the transition from AI that talks to AI that acts.

Its ability to browse websites, send emails, make purchases, book travel and continue working in the background could make it far more useful than conventional chatbots.

At the same time, those capabilities create new risks. An AI agent that has access to personal accounts can potentially make mistakes at a much greater scale than a chatbot that merely produces an incorrect answer.

Meta has built Secure VM, Sentinel, permission controls, approval prompts and additional privacy protections to address those risks. Yet the company’s own testing experiences show that reliability and security remain critical challenges for autonomous AI.

Ultimately, the success of Muse may depend on a question that has little to do with how intelligent the AI is: