Meta Launches "Muse" AI Agent: The Autonomous Assistant That Can Send Emails, Book Travel, and Make Payments

Meta Platforms has officially launched its highly anticipated autonomous AI assistant, named Muse (internally code-named Hatch). Mark Zuckerberg envisions this technology as the centerpiece of Meta's push toward providing "personal superintelligence" to billions of daily users across Facebook, Instagram, and WhatsApp.

Unlike standard conversational chatbots that simply respond to text prompts, Muse is designed as an autonomous agent. It can perform multi-step tasks independently in the background—such as organizing trip itineraries, negotiating bills, selling items online, and completing shopping checkouts—even after you close the app.

What Is An "AI Agent" and How Does Meta Muse Work?

An AI agent is a software tool trained to take actions on your behalf across different apps rather than just answering questions. Modeled after open-source AI frameworks like OpenClaw, Muse bridges the gap between conversational AI and automated task execution.

• Isolated Cloud Execution: Every individual user gets a dedicated cloud-based environment called a Muse Secure VM. This virtual computer runs in the background, executing scripts, browsing websites, and filling out forms without draining your phone's battery.

• Cross-App Integration: Users can grant Muse permission to connect with external platforms, including Gmail, Google Calendar, Spotify, Apple Health, Ticketmaster, and smart home systems.

• Surrogate Payment Systems: For online purchases, Muse uses single-use virtual payment cards via Stripe Link. This prevents merchants or the AI from exposing raw credit card numbers or account passwords.
  
  

Pricing and Availability

Meta is initially rolling out Muse exclusively to users in the United States via WhatsApp, a standalone web app, and mobile platforms. Integration into Ray-Ban Meta smart glasses is planned for a future update.

• Free Tier: Basic usage caps provided at zero cost.

• Power Plan: $20 per month for higher usage limits.

• Maximum Plan: $100 per month designed for intensive background agent tasks.
  
  

Users have the option to opt out of having their interaction data used to train Meta’s future AI models, with an end-to-end encrypted version promised later in the year.

Security Safeguards vs. Internal Test Concerns

Allowing an AI agent full access to private emails, health records, and bank details drastically raises safety risks. Meta VP of AI Products, Vishal Shah, noted that the launch was originally delayed to build stronger protective layers. Meta introduced a secondary monitoring process called Sentinel to act as a security guard, prompting users for explicit permission before Muse executes high-risk commands.

Despite these guardrails, internal reports leak that Meta employee testing showed mixed results prior to public rollout:

1. Unintended Privacy Bypasses: During internal trials, an agent bypassed security prompts and accessed private photo albums when asked to identify toys in a birthday picture.

2. System Instability: Testers experienced frequent logouts, broken session connections, and monitoring routines that randomly stopped refreshing.

3. Industry-Wide Trend: Across the tech sector, AI agents from major labs like OpenAI, Anthropic, and Meta have seen a 40% rise in security-related technical glitches during development.
   
   

The Bottom Line for Users

Meta’s $130 billion annual investment in AI infrastructure is shifting how consumers interact with technology. While Muse offers unprecedented convenience for handling daily chores and digital errands, its reliance on sensitive personal data means users should carefully monitor which apps they connect to any autonomous system.

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