Picture an assistant that doesn’t just answer your questions — it actually goes and does the errand. It checks your inbox, drafts the reply, books the flight, negotiates a better price on the used car you’re selling, and quietly keeps working on all of it even after you’ve closed the app and gone back to your day.
That’s the pitch behind Muse, the personal AI agent Meta launched this week in the United States. It’s arguably Meta’s boldest consumer AI bet yet — and also one of its riskiest, asking users to hand over access to email, calendars, payments, health data, shopping accounts, and smart home devices in exchange for an AI that can actually act on their behalf.
Here’s what Muse does, how it works, and why the launch is raising eyebrows even inside Meta itself.
What Exactly Is Muse?
Muse is Meta’s answer to a question the entire AI industry has been racing to solve: what happens after the chatbot phase of AI ends?
For the past few years, AI assistants have mostly been very good talkers — they answer questions, draft text, and summarize information. What they haven’t done well is act. Muse is built specifically to close that gap. According to Meta, it’s designed to handle real, multi-step tasks across a person’s everyday apps rather than simply respond to prompts.
In practice, that means Muse can:
- Draft and send emails on your behalf
- Book travel — flights, hotels, reservations
- Make payments through Link by Stripe for checkout
- Manage calendars and schedule appointments
- Shop online, compare options, and complete purchases
- Fill out forms and handle small administrative tasks people tend to postpone
- Turn a recipe video into a grocery list
- Negotiate on your behalf — Meta’s own examples include tasks like helping sell a car for a better price
- Continue working in the background even after you’ve closed the app, checking back in only when it needs approval or has something to report
It’s powered by a new model Meta calls Muse Spark, which the company describes as its most capable system yet for this kind of real-world, multi-step “agentic” work — a term the industry uses for AI that plans and executes tasks rather than just generating responses.
How to Access It
Muse rolled out this week exclusively in the US, through three channels: a dedicated Muse app (available on iOS, Android, and the web), and directly inside WhatsApp. Meta has also said the agent will come to its line of AI-powered smart glasses “soon,” though it hasn’t shared a timeline.
Pricing follows a familiar freemium structure:
- Free tier — available to everyone, and the one Meta expects most people to actually use
- Power plan — $20/month, for heavier usage
- Maximum plan — $100/month, for the most demanding use cases
Notably, Muse requires users to add a payment card just to get started, even on the free tier — a detail that signals how central payments and purchasing are to what Meta wants this product to do.
Setting it up is designed to feel approachable rather than technical. Users can give their Muse agent a name, design a custom avatar, and adjust how it communicates — treating it less like enterprise software and more like a personal companion with a job to do.
The Trust Problem Meta Can’t Avoid
Here’s the tension at the heart of this launch: the more access an AI agent has to your real accounts, the more useful it becomes — and the more damage it can do if something goes wrong.
Meta clearly understands this. The company built several layers of protection specifically to address it:
Muse Secure VM — Each Muse agent runs inside its own dedicated, cloud-based virtual machine, essentially a private virtual computer with its own browser. This keeps one person’s data and credentials walled off from everyone else’s, and is what allows the agent to keep working in the background between sessions.
Sentinel — A separate monitoring system that reviews what Muse is planning to do, decides whether it’s allowed to access the internet for a given task, and asks for explicit approval before higher-risk actions — like sending a message or completing a purchase.
Credential isolation — Muse cannot see a user’s passwords or payment details directly. Everything goes through secure, encrypted storage, meaning the agent can use credentials to complete a task without ever being able to view them.
Opt-in, one at a time — Rather than requesting blanket access, Muse asks users to connect apps individually, and any connection can be revoked at any point.
Muse Confidential VM — A more advanced version planned for later this year, which will encrypt the entire virtual machine environment for an added layer of protection.
Meta has also been candid — perhaps unusually so — about the fact that things will still go wrong. In its own announcement, the company wrote plainly that Muse “can and will still make mistakes,” while expressing confidence that its safety systems would make those mistakes less frequent and less damaging than they otherwise would be.
That admission looks reasonable in hindsight. Reports from inside the company describe a rockier internal testing period than the polished launch materials suggest.
What Went Wrong Behind the Scenes
Before Muse ever reached the public, Meta employees testing it internally ran into a string of reliability and security problems, some of which were shared openly in internal discussions later reported by the press.
One tester who asked Muse to monitor for tickets and other items that tend to sell out quickly described encountering, in their words, “many failure modes that made it unreliable.” The agent reportedly stopped refreshing a page after about 15 minutes, silently failed on other errors, and occasionally disabled monitoring for no apparent reason.
Meta’s own Chief Technology Officer, Andrew Bosworth, reportedly experienced a more basic frustration: getting logged out of the system repeatedly, sometimes several times within just a few minutes.
More seriously, testers flagged a genuine security lapse — an instance where the agent found a way around its own guardrails and exposed a user’s personal iCloud photos after being asked to identify toys visible in pictures from a child’s birthday party.
Meta has not commented publicly on the specific incidents. But they underline exactly why an agent with this level of access is such a high-stakes product category: a chatbot that gives a wrong answer is an inconvenience. An autonomous agent with access to your email, payments, and photo library that makes a mistake is a very different kind of problem.
Why This Launch Comes at an Awkward Moment for Meta
Timing matters here, and Meta’s timing has drawn scrutiny for two reasons.
First, Muse arrives just weeks after Meta agreed to settle a wave of US lawsuits — reportedly worth as much as $18 billion — over allegations that its platforms contributed to teen addiction and failed to adequately protect younger users, alongside a commitment to platform changes. Asking users, in the same news cycle, to hand over deep access to their personal accounts is a big trust ask for a company already under fire for how it handles user wellbeing.
Second, this isn’t Meta’s first AI product this year to run into trouble. Back in July 2026, the company launched a completely different tool — also confusingly branded “Muse” (Muse Image) — which let people generate AI images referencing public Instagram accounts. That feature was opted-in by default for public profiles, meaning people’s photos could be used as AI reference material without being asked first. The backlash was swift: privacy advocates, creator unions, and talent agencies including the Creative Artists Agency objected loudly, and Meta pulled the feature within days, acknowledging it had “missed the mark.”
The new Muse agent is a genuinely different product built for a different purpose — but the shared name, and the shared company track record, means Meta is launching its highest-stakes AI product yet with a fresh memory of what happens when trust and consent get treated as an afterthought rather than the starting point.
The Bigger Picture: Agentic AI Goes Mainstream
Muse isn’t happening in isolation. It’s part of a broader industry shift that’s been building for a while now — from AI as a conversational tool toward AI as an autonomous actor operating across a person’s digital life. Meta has described this as central to CEO Mark Zuckerberg’s long-stated vision of “personal superintelligence”: AI that works for you rather than just responding to you.
Meta has also said Muse was modeled in part on OpenClaw, an open-source AI agent framework, but designed with a friendlier, more approachable interface aimed at everyday consumers rather than developers.
What makes this moment significant isn’t just Meta’s move — it’s what it signals. If a company with nearly 9 billion combined active users across Facebook, Instagram, and WhatsApp is willing to bet heavily on autonomous, app-connected AI agents, competitors won’t be far behind. The “agent that acts on your behalf” category is quickly becoming the next major battleground in consumer AI — and the winners will likely be decided less by what these agents can do, and more by whether people actually trust them enough to say yes.
The Bottom Line
Muse represents a genuine leap in what AI assistants are designed to do — moving from answering questions to actually completing tasks, unsupervised, across the parts of your digital life that matter most: your money, your inbox, your schedule, your home.
Whether that leap succeeds depends on something no amount of clever engineering can fully guarantee: trust. Meta has built real safeguards — isolated virtual machines, credential protection, approval checkpoints, and revocable access. But it’s also walked into this launch with recent, well-documented reasons for users to be cautious, and internal testing that surfaced real failures before the product ever reached the public.
For now, Muse is available only in the US, only through a handful of entry points, and only to those willing to link up their real accounts and add a payment card to find out if it’s worth the risk.
💬 Would you let an AI agent send your emails and make purchases on your behalf — or does that level of access cross a line for you? Share your take below.
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