Audit AI tool subscriptions from email receipts
Meta's Muse agent connects to email, calendar, Facebook, and Instagram to act on your behalf. Task: Meta's Muse agent connects to email, calendar, Facebook, and Instagram to act on your behalf. Here's how it works and what its privacy setup looks like. What is Meta Muse? Muse is Meta’s new personal AI agent, described by the company as the world’s first personal agent built for everyone. Unlike a chatbot that waits for you to ask questions, Muse is meant to take actions on your behalf: sending emails, booking travel, filling out forms, and tracking longer-running goals over time. It connects to apps like email and calendar, plus Meta’s own platforms (Facebook, Instagram, and reportedly WhatsApp), and runs its actions inside a secure virtual machine rather than directly on your device. It launched this week and quickly became the number two app in the US, available on iOS, Android, and through muse.ai, with support for Meta’s AI glasses reportedly coming soon. TL;DR Muse is a personal AI agent from Meta that acts on your behalf instead of just answering prompts, handling things like emails, calendar management, and travel bookings. It works by executing tasks inside a dedicated virtual machine, meaning actions happen in an isolated environment rather than directly on your own computer. The agent can pursue long-running goals, continuing to work after you close the app and only pinging you when it needs approval or input. Meta built in several privacy safeguards, including no visibility into passwords or payment credentials, and an opt-out for using your data to train its models. Onboarding is largely self-guided: Muse reads your connected accounts (Facebook, Instagram, Gmail, calendar) and builds a working picture of you before suggesting how it can help. Hands-on testing found Muse to be one of the easiest agent tools to set up, though it currently supports fewer app integrations than more technical agent platforms. How does Muse actually work? Muse operates less like a search box and more like a coworker with its own workspace. Once you connect accounts such as Gmail, your calendar, Facebook, or Instagram, Muse reviews that information and starts forming an understanding of your routines, interests, and obligations. From there, you can hand it specific tasks (draft this email, track this price, book this reservation) or bigger, open-ended goals. For the larger goals, Meta says Muse helps build a personalized plan, coordinates time and resources, and then advances the work on its own. That can include opening a browser, filling out forms, and negotiating on your behalf. Because it runs on a dedicated virtual machine, this work happens in a contained environment separate from your actual device, and separate from other people’s agents. Muse will keep working in the background even after you close the app, returning to you specifically when something needs a decision, a correction, or explicit approval, such as before it sends an email or completes a purchase. The interface itself resembles a messaging app more than a dashboard. There’s a main ongoing chat, plus the option to create separate “side chats” to organize conversations by topic. A feed section surfaces proactive suggestions and ideas. A goals section lets you organize objectives by category (health, finance, career, relationships, productivity, and more). An artifacts section holds media the agent generates or pulls in. On the other side of the interface, there’s an activity log, an approvals queue for anything awaiting your sign-off, an upcoming section for recurring tasks, and an identity area showing what the agent has stored in its memory. What can Muse actually do for you day to day? Based on hands-on onboarding, Muse’s stated capabilities include: Keeping a calendar organized and sending reminders Reading, drafting, and sending emails Tracking prices on products Shopping for gifts Booking dinner reservations Building out longer plans tied to personal goals; tools: Meta Muse. Human role: The original post does not say how a person stayed involved.; limitations: Muse runs in a secure virtual machine and cannot see passwords or payment credentials. It supports fewer app integrations than technical agent platforms. Users must opt out of data training if desired. Human approval is required for sensitive actions like sending emails or completing purchases..
Tools
Published on Agent Work Atlas:
Overview
Meta's Muse agent connects to email, calendar, Facebook, and Instagram to act on your behalf.
Workflow
Meta's Muse agent connects to email, calendar, Facebook, and Instagram to act on your behalf. Here's how it works and what its privacy setup looks like. What is Meta Muse? Muse is Meta’s new personal AI agent, described by the company as the world’s first personal agent built for everyone. Unlike a chatbot that waits for you to ask questions, Muse is meant to take actions on your behalf: sending emails, booking travel, filling out forms, and tracking longer-running goals over time. It connects to apps like email and calendar, plus Meta’s own platforms (Facebook, Instagram, and reportedly WhatsApp), and runs its actions inside a secure virtual machine rather than directly on your device. It launched this week and quickly became the number two app in the US, available on iOS, Android, and through muse.ai, with support for Meta’s AI glasses reportedly coming soon. TL;DR Muse is a personal AI agent from Meta that acts on your behalf instead of just answering prompts, handling things like emails, calendar management, and travel bookings. It works by executing tasks inside a dedicated virtual machine, meaning actions happen in an isolated environment rather than directly on your own computer. The agent can pursue long-running goals, continuing to work after you close the app and only pinging you when it needs approval or input. Meta built in several privacy safeguards, including no visibility into passwords or payment credentials, and an opt-out for using your data to train its models. Onboarding is largely self-guided: Muse reads your connected accounts (Facebook, Instagram, Gmail, calendar) and builds a working picture of you before suggesting how it can help. Hands-on testing found Muse to be one of the easiest agent tools to set up, though it currently supports fewer app integrations than more technical agent platforms. How does Muse actually work? Muse operates less like a search box and more like a coworker with its own workspace. Once you connect accounts such as Gmail, your calendar, Facebook, or Instagram, Muse reviews that information and starts forming an understanding of your routines, interests, and obligations. From there, you can hand it specific tasks (draft this email, track this price, book this reservation) or bigger, open-ended goals. For the larger goals, Meta says Muse helps build a personalized plan, coordinates time and resources, and then advances the work on its own. That can include opening a browser, filling out forms, and negotiating on your behalf. Because it runs on a dedicated virtual machine, this work happens in a contained environment separate from your actual device, and separate from other people’s agents. Muse will keep working in the background even after you close the app, returning to you specifically when something needs a decision, a correction, or explicit approval, such as before it sends an email or completes a purchase. The interface itself resembles a messaging app more than a dashboard. There’s a main ongoing chat, plus the option to create separate “side chats” to organize conversations by topic. A feed section surfaces proactive suggestions and ideas. A goals section lets you organize objectives by category (health, finance, career, relationships, productivity, and more). An artifacts section holds media the agent generates or pulls in. On the other side of the interface, there’s an activity log, an approvals queue for anything awaiting your sign-off, an upcoming section for recurring tasks, and an identity area showing what the agent has stored in its memory. What can Muse actually do for you day to day? Based on hands-on onboarding, Muse’s stated capabilities include: Keeping a calendar organized and sending reminders Reading, drafting, and sending emails Tracking prices on products Shopping for gifts Booking dinner reservations Building out longer plans tied to personal goals
Reported result
The source reports a single practical test where Muse identified over a dozen tools and flagged overlapping subscriptions. However, it explicitly missed some accounts entirely. No broader measured success rates or financial savings are provided, so effectiveness varies by account coverage.
Human role
The original post does not say how a person stayed involved.
Limitations
Muse runs in a secure virtual machine and cannot see passwords or payment credentials. It supports fewer app integrations than technical agent platforms. Users must opt out of data training if desired. Human approval is required for sensitive actions like sending emails or completing purchases.
Try it
Act as a personal finance assistant using Meta Muse. My goal is to audit my AI tool subscriptions to identify overlaps and unauthorized charges. [replaceable inputs: Connect my Gmail and Calendar accounts to Muse. Target period: Last 6 months. Output location: Muse's 'Artifacts' section or a new side chat named 'Subscription Audit'.] Steps: 1. Instruct Muse to scan my email receipts for AI tool subscriptions (e.g., OpenAI, Midjourney, Jasper). 2. Ask Muse to compile a list including tool name, monthly cost, and renewal date. 3. Request that Muse flag any duplicate categories (e.g., multiple video generators). 4. Review the list in the approvals queue. Do not let Muse cancel anything automatically. 5. Manually verify each entry against my bank statements. Quality Check: Ensure the list covers at least 90% of known AI tools. If Muse misses accounts, manually add them. Safeguards: Require my explicit confirmation before Muse drafts any cancellation emails. Start with a dry run on one month of receipts to verify accuracy before expanding the scope.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.