Meta has launched its boldest move yet into consumer AI: a personal agent named Muse that automates everyday tasks spanning email, travel bookings, bill payments, home controls, and more. It represents a shift from chat-based helpers to agents that act on behalf of users by tapping into apps and services people use daily. To work, Muse requires access to much deeper personal data, pushing Meta’s long reputation for privacy into fresh scrutiny.
How Muse works — and what it connects to
Muse runs via Meta’s own AI model, called Muse Spark. Users can selectively connect tools and accounts (e.g. calendars, email, payments, fitness, smart-home, shopping, music, etc.). When an app lacks an official API, Muse may connect via public APIs using supplied credentials, or even through browser access. Tasks include sending emails, booking travel, converting recipe clips into grocery lists, and handling purchases via a built-in Stripe-powered checkout.
The agent is available through several entry points: web (muse.ai), mobile apps on iOS and Android, WhatsApp chats, and soon Meta’s AI-enabled glasses. Basic usage is free, but higher levels of assistance are premium. Two subscriptions — “Power” at $20/month and “Maximum” at $100/month — offer users more task volume, though most people are expected to stay on the free tier. A usage meter alerts users before charges kick in. Meta also designs Muse to learn preferences over time and act proactively based on learned cues.
Privacy, security and trust questions
Meta insists Muse runs inside a ‘‘secure virtual machine’’ — dubbed Muse Secure VM — that isolates its internal processes. A separate “Sentinel” agent operates in that same VM, but without cross-access to Muse’s functions. Meta claims the system won’t have access to passwords or payment methods, and that user conversations or data won’t feed into its advertising network. Technical documentation supporting these claims was released alongside Muse, yet security experts will likely probe whether those safeguards are sufficient.
The announcement arrives just after Meta agreed to an $18 billion settlement with 29 U.S. states over social media harms. Observers note that Meta’s prior privacy failures — including FTC penalties, breach incidents, data misuse scandals — weigh heavily on public opinion. Muse includes customization features like naming the agent, choosing an avatar, and adjusting its communication style, aiming to build more personal rapport with users. But for many, the question remains: is this enough to rebuild trust?
Meta asserts that Muse’s access to apps and services is entirely opt-in, with connections added one-by-one. This transparency seeks to give users greater control over how much personal info they share. Still, critics highlight that giving up sensitive permissions — especially around payments or personal data — introduces significant risk. How Muse handles user authentication, data isolation, and the potential for misuse of its access will be central topics for accountability.
Whether consumers will embrace Muse depends largely on whether Meta can demonstrate that its promises are not just marketing. For an AI agent to earn trust, proof will need to come via sustained performance, visible security audits, robust misuse safeguards, and clear boundaries around data use. Muse’s public launch marks a turning point for Meta and perhaps for the industry’s next phase: moving from tools people ask, to agents that act — if users are willing to let them.
