What is Meta's Muse AI: features, uses, pricing, and privacy
Muse AI is an advanced personal artificial intelligence agent created by Meta, capable of performing tasks and automations on behalf of the user.
It stands out for its focus on security and privacy thanks to the use of Muse Secure VM and the Sentinel controller, which isolate and monitor sensitive actions.
It offers a free option and paid subscriptions when usage limits are exceeded, with progressive access to advanced features.
It is expected to launch in Spain and other European countries in the short term, thus expanding possibilities for users and companies.
Artificial intelligence is evolving at breakneck speed , and every day increasingly advanced agents appear that promise to revolutionize how we interact with technology. One of the latest major offerings, both for its ambition and for coming from an industry giant, is Muse AI from Meta . If you've heard about Muse and are wondering exactly what it can do, how much it costs, its level of security, how it compares to other alternatives, and whether it's really worth it, this article has everything you need to know, explained in detail and with practical examples.
Muse AI isn't just a simple chatbot or your typical assistant that answers questions or helps you dictate a message. Its key strength is that it's designed to be a true digital personal agent that, once set up—and always under your supervision—is capable of performing real tasks: from managing your email and calendar, browsing and completing web forms, scheduling meetings, researching purchases or reservations, to executing actions within multiple apps. All of this is done with a strong emphasis on privacy and security, the very principles on which Meta aims to differentiate itself in this sector.
Muse AI is the new personal AI agent developed by Meta , the parent company of Facebook, Instagram, and WhatsApp. The idea is not just to answer your questions, but to actively interact with multiple services and platforms to perform tasks on your behalf . The goal? To save you time on daily or recurring tasks that traditionally require several manual steps, emails, multiple open apps, and constant attention.
Unlike classic conversational assistants like Siri or Alexa—which are more limited and primarily focused on providing information— Muse integrates access to its own browser, connectors for external services, and a secure virtual machine on which it operates independently.
Furthermore, Muse AI doesn't come alone. Meta has created a whole related family of products and technologies under the "Muse" brand:
Muse (the main agent): The focal product, your personal agent that performs tasks and connects to services.
Muse Spark: The artificial intelligence models that power Muse, strengthening its reasoning and acting capabilities.
Muse Image: A specific system for the generation and creative editing of images using AI.
Meta AI: The general assistant embedded in other Meta products, which is not exactly the same as Muse nor does it offer all of its autonomous interaction capabilities.
It is important not to confuse them: when Muse is mentioned in the news, it is almost always referring to the personal agent , since it is the product that takes on real tasks and automations.
What can Muse AI do? Real-world uses and examples
The first thing that stands out about Muse is its ability to handle practical tasks, not just answer questions . According to Meta and independent reviews, these are some of the typical actions Muse can perform:
Email management and control: from searching for relevant messages, preparing drafts, to (through explicit permissions) sending automatic replies.
Organizing schedules and meetings: Consult your calendar, detect overlaps, and help you set optimal schedules with other people involved.
Web navigation and forms: Muse uses an integrated browser to visit pages, read content, compare information, and complete forms.
Purchasing and product research: It can compare items, search for alternatives, and provide you with comparison charts before you make any purchase, which always requires your final approval.
Trip planning and booking: from analyzing flights and accommodations to suggesting complete itineraries and helping you with online bookings.
Automation of repetitive tasks: You can schedule automated workflows, such as detecting certain events in your email and taking predetermined actions.
Management of medium and long-term projects: It maintains the context of goals and preferences beyond a simple conversation, allowing you to move forward even if you close the app.
The key difference compared to traditional solutions is the autonomy Muse offers . For example, instead of saying "remind me to call the dentist," you can ask it to "check my email for pending confirmations and schedule the appointment with whatever is available." However, for tasks involving significant changes, payments, shipments, or purchases, the user must always approve the action before it is executed.
If you're wondering how far Muse can go in practice, here are some direct examples of how people are already using it:
Preparing for a meeting: "Find all emails related to tomorrow's meeting and give me a summary of the outstanding points and key questions. Don't send any messages until I confirm."
Compare purchase alternatives: "Find three laptops with 15-inch screens and over 8 hours of battery life; compare them by price and features. Give me the table before the budget goes up."
Customized trips: “Design three different routes to travel to Lisbon, prioritizing short travel times and reasonable expenses. Show them to me before making reservations.”
Project following: “Check every Monday which of my tasks are still open in your email and calendar. Separate what’s urgent from what I’ve already been able to delegate, but don’t contact anyone yourself yet.”
The key lies in the combination of autonomy and progressive control: you can start by asking for minor actions, measure results, and gradually expand the freedoms you grant the agent.
Muse Secure VM and security architecture
One of the most important aspects of Muse AI's value proposition is its commitment to security and privacy, especially after years of controversy surrounding data handling at Meta . The core of this promise is what the company calls Muse Secure VM.
What exactly does this mean? Each Muse user has an isolated virtual machine in the cloud where the agent's working environment is deployed. On that machine, Muse has:
Proprietary browser.
Separate and encrypted storage.
Dedicated computing capacity on an isolated Linux system.
Integrations with connectors (access to apps, accounts, etc.), always under explicit permissions.
According to the published technical documentation, personal VMs are completely isolated from each other, and their sensitive credentials are kept separate from the AI model . This prevents, by design, an agent from snooping on another user's information or permissions, and isolates potential leaks or internal errors.
Another key component is Sentinel , a permissions controller that runs outside the AI model and makes security decisions. Sentinel evaluates every sensitive action Muse attempts to perform, from sending an email to initiating a payment transfer. It can block, require human confirmation, or allow actions based on the permissions you've set.
Meta assures that it is not possible for the AI agent to bypass Sentinel or perform irreversible actions without proper oversight. Permissions can be one-time, temporary, or more persistent, but in all cases, they are based on the principle of least privilege : only what is strictly necessary for the task at hand.
In 2026, Meta promised to incorporate an additional layer called Muse Confidential VM , which will encrypt the virtual machine with a user-controlled key, preventing even Meta from accessing it. This level of advanced privacy is not yet the default standard, but it is expected to be available to users seeking greater security in the near future.
What guarantees are there regarding privacy and data use?
Meta has tried to redouble its efforts to offer guarantees to skeptical users , emphasizing that:
The conversations and files generated by Muse in its secure environment are not exploited for advertising.
You can create a separate account for Muse (different from the rest of the Meta services), which allows for the complete isolation of personal and professional uses.
By default, the functionality for Meta to use your conversations with Muse for future training of its AI models is enabled.However, you can disable it by accessing Settings > Data controls, and the deactivation also applies retroactively to interactions that have already been saved.
You have the right to delete messages, files, and even to order the forgetting of certain information. if you decide that it should not be part of the agent's record.
However, disconnecting a service means that the agent can no longer access new information from that app or account, but previous data may continue to be stored until it is manually deleted.
For companies and organizations, this design allows for the implementation of much stricter and more auditable privacy and data management policies compared to other more closed assistants.
Is Muse AI safe? Risks and controls
Muse AI was created with a technical architecture designed to minimize the risks of misuse , but no system is perfect. Among the main measures:
Isolation of each user environment using Secure VM, with separation of channels and credentials.
Sentinel controls and audits all permissions and sensitive actions.
Human filters and approvals before relevant purchases, payments, or shipments.
Network exit controls and the ability to take manual control of the browser at any time.
Reset and memory forget functionality to minimize accidental leaks.
Despite this, Meta itself acknowledges that there is still a danger of, for example, prompt injection —when a user or external party manages to get the agent to interpret malicious instructions disguised in seemingly innocuous data—, and therefore recommends never blindly delegating irreversible tasks and maintaining the principle of supervision in significant actions.
Especially for online purchases and payments, Muse uses third-party platforms like Stripe Link , which generates single-use virtual cards, guarantees fraud protections, and ensures that real bank details are never shared.
Pricing and availability plans: How much does Muse AI cost?
One of Muse's most appealing features is its free trial, designed to cover most everyday personal use. However, there is a usage tracker that indicates when you reach the free task limit. A payment card is required, even to start the free trial, as an anti-fraud measure.
For those who need to go beyond the free threshold , Muse offers two subscription levels:
Power Plan: 20 dollars per month
Plan Maximum: 100 dollars per month
In both cases, the number of tasks Muse can handle on your account and the processing speed are increased. As of today, there is no official announcement regarding specific pricing in euros or for Europe, but a direct conversion (excluding taxes) would be around €17,20 and €85,98 respectively at the current exchange rate. Including VAT, the total could be around €20,81 and €104,04, although these figures are only indicative and may change when the product is officially launched in our region.
If you want to properly assess the cost, more important than the monthly fee is estimating how many hours of effective work the agent can save you, how they reduce errors, and in what real tasks they provide measurable value.
Where is it available? Muse AI in Spain and Europe
Meta has begun rolling out Muse AI in the United States , both on iOS and Android devices, as well as on its official website and via WhatsApp . Compatibility with Meta's augmented reality glasses is also planned for the near future. For now, Meta has not announced a release date for Spain or the rest of the European Union.
The best way to check is to go directly to the official website and see if registration is enabled for Spanish accounts. Using VPNs, unofficial installations, or "tricks" to gain early access is strongly discouraged, especially if you plan to connect your email, calendar, and other personal accounts.
Meta typically rolls out its services in stages, so European availability is expected to be announced in the coming months as regulatory compliance and EU-mandated privacy and data protection controls are ensured.
How to start using Muse AI step by step?
When Muse appears in your account, the best strategy isn't to transfer all your data and access credentials at once . It's advisable to start very gradually, granting the agent autonomy only for reversible tasks and monitoring its responses and decisions.
Access Muse only through official channels: the app, WhatsApp or the web.
Configure the data controls first: Define from the first minute what interaction you want to grant Meta for AI training.
Connect a single service: For example, your calendar or email with read-only permission.
Try a task that you can easily review: It asks for an agenda summary or to prepare a response to an email, but without sending anything automatically.
Always verify what information was used and how it was processed: Don't rely solely on the final result, check if they have understood the data.
Grant writing/authorization permissions only when you receive real tangible value.
Limit sensitive actions (payments, schedule changes, shipments) and maintain manual approval until you are fully certain.
Measure the results periodically: how many minutes it saves you, whether it has made mistakes, and how many times you have had to correct it.
In this way, you build trust in the agent and, in case of error, you avoid serious consequences.
What are the main limitations and risks of Muse AI?
Despite all the guarantees, no AI system is infallible . The most sensitive areas where it's advisable to be especially cautious when using Muse are:
Authorization of payments and purchases: Any transaction involving real money should require explicit confirmation, preferably using virtual cards or single-use methods.
Management of sensitive information: If you connect Muse to your corporate email, remember that the possibility of accidental exposure always exists, no matter how much the agent operates under a secure VM layer.
Prompt injection and errors in instruction interpretation: There are still no 100% effective defenses against sophisticated manipulations if an external party manages to introduce malicious data into your files or emails.
Trust in Meta's privacy claims: Many experts recommend treating privacy promises as unaudited claims until independent research proves otherwise.
Common sense dictates: start with non-critical tasks and expand as Muse proves reliable with your data and workflows.
