Get a gutter quote in the first hour
A 77-year-old user's Muse agent secured a quote for new gutters within the first hour of handling home projects.
Meta’s personal AI agent, designed to work across a browser and connected apps. Capabilities and access depend on your account and region.
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A 77-year-old user's Muse agent secured a quote for new gutters within the first hour of handling home projects.
A screen-recorded demo showed a personal agent cleaning up thousands of emails, unsubscribing from unwanted newsletters, and preparing a daily newspaper from personal and Facebook sources.
A user volunteered to host Taco Tuesday with a nearly empty fridge. Muse supplied two recipes, generated a categorized shopping list, and produced a styled printable menu for guests.
their Muse agent is set up to run a weekly Sunday 9am check comparing followers and identifying who unfollowed, with profile links : plus scheduling food reels with auto-generated captions and trending hashtags. Shown via his own app screenshots. (Independent tech creator; own completed setup,…
Muse planned a dinner party, suggested the menu, wrote the invitations, and flagged a dish to skip because a friend was allergic to shellfish, a detail mentioned months earlier.
A user asked Muse to create its own profile picture, choose a nickname, and generate an animated GIF that appears while tasks run.
Mom of three / cookie artist; agent scans her emails for teachers' agendas and adds dates to her calendar weekly (auto-check), and schedules alarm series for school pickups tied to her calendar. Screen recordings show Muse requesting email access, confirming the weekly check, and completing the…
A user's agent planned a friends' trip: it messaged the group chat, tallied destination votes, curated Rome recommendations from followed accounts, tracked flight prices, and generated a day-by-day itinerary that respected dietary restrictions.
A travel photographer's agent built a content calendar from social accounts, reconciled invoices, booked two sunset tickets in New York, and organized 308 saved Instagram locations into an interactive destination map.
A user's agent booked a restaurant for nine, cancelled a forgotten subscription, messaged a friend, and planned a multi-island Hawaii trip with activities, flight logistics, costs, and a detailed itinerary.
A user's agent organized the calendar into day-by-day views, found toddler activities, drafted invites, and booked a date-night restaurant based on saved Instagram posts.
A user's agent paid a $35 overdue parking bill from a photo, got approval to pay a $682 invoice, found a recipient's address in email to order flowers from a previously used florist, and booked dinner and movie tickets.
A user's agent flagged a fitting conflict with the twins' school drop-off and drafted a reschedule email, then found three kids' bikes on Facebook Marketplace, negotiated with sellers, and later booked a date night.
A user's agent gave a daily summary, recommended a restaurant from the partner's saved reels, confirmed a 7:00 PM reservation for two, then ordered $238 in white roses for same-evening delivery.
A user's agent helped manage wedding preparation around 40 sales calls: it sent photographer reminders, updated the schedule after an injury, and logged meals to track macros and weight-loss progress.
A user's agent ordered $59.99 in flowers for their spouse, built a HIIT tracker that logs sets and recommends next-session weights, and booked a dinner reservation for five.
A user's agent processed more than 6,000 saved Instagram posts into a mapped Florida bucket list, suggested an activity for an anniversary weekend, and booked the activity and dinner after approval.
A user ran a personal Muse agent for several months. It handled daily schedule briefings, helped plan a family vacation in Japan, shifted power usage to save money, and coordinated a car purchase by negotiating with dealers over email.
A Muse user was interviewing for a company and had Muse analyze all their active social-platform ads, broken out by creative.
A reviewer connected Gmail and Amazon to Muse and tested what it could infer. Muse identified the state where the user was visiting family from a recent shipping address, demonstrating how much connected context an agent can assemble.
A Muse user had Muse clean up his Google Drive : converted 13 sermons into clean Docs, trashed 200+ duplicate and junk files, and built series hubs for his teaching. It also triages his inbox twice a day and keeps his reminders straight.
Recurring household work was invisible until it became urgent.
Generic explanations were not landing.
She could not tell which of her own work was actually good anymore.