A little less shopping admin.

A Muse user showed their wife two Muse tricks: it found a green puffer jacket at the cheapest price using live discount codes and bought it, then loaded a Whole Foods cart from a recipe. “They were blown away.”

“$META Muse is my first real use of agentic shopping and I am very impressed. Order is on the way,” says a Muse user.

A Muse user: “Watching Muse list clothes for me” : the agent autonomously listing their clothes for sale.

A Muse user connected Muse to their Facebook: it downloaded their old Marketplace listings, deleted them, posted updated ones with new photos, then listed new items from fresh pics.

A Muse user: “I’ve got Muse yelling at Amazon customer support for me right now about two orders that just disappeared. Good times.”

A Muse user: their agent helped plan the week's meals and even made the menu look nice so they could print it and put it on the fridge.

A Muse user has Muse actively browsing Facebook Marketplace for deals on their behalf (noting they wished it could message sellers yet).

A Muse user gave Muse a problem, it found the right product on Amazon, logged in with the user's credentials (pulling the login code from email), confirmed price and shipping details with the user, and placed the order : arriving the next day. They expected it to fail at every step; it didn't.

A Muse user: after a couple of days using Muse, shopping and groceries are 'approximately ten times faster.'

A Muse user: 'I took a picture of a messy shopping list on a whiteboard on our fridge and it just successfully ordered all of it from Sam's Club. One round of feedback and the order was fixed. Now it's ordering the things Sam's didn't have from a different store.'

Ordered groceries from Instacart without the user ever opening the Instacart app.

A Muse user: 'Muse is way better than I was expecting it to be. It found a new restaurant in a new city & booked a reservation for 2 in less than a minute for me.'

A Muse user permanently set their food preferences in Muse; from then on, just naming any restaurant in town gets them an accurate list of recommendations with costs and descriptions.

In the same Engadget hands-on, The user had Muse do the same treatment for their saved restaurant posts : places they wants to check out one day. It produced a searchable guide organized by city.

Engadget's The user had years of saved recipe posts they never revisited. They asked their Muse agent 'boo' to pull every recipe out of their saves and organize them into a readable, searchable book with ingredient lists, steps, and links back to the originals.

A Muse user tested Muse on a wine-and-cheese night: shop recommendations, a wine-cheese pairing, Todoist tasks and Google Calendar entries : all done. The one thing it couldn't finish was booking the Waymo ride; they did that himself. Not sponsored.

A Muse user has Muse expertly managing their Facebook Marketplace listings, and they's finally selling off stuff that had been sitting around unused.

A Muse user: the most mundane Muse use cases are the most convincing : an hour, three stops, back with 3 minutes to spare.

A Muse user: native OpenTable integration that respects their TOS : hard reservations are the perfect Muse stress test.

A Muse user: 'AI just planned my meals and bought my groceries for the week. I didn't do anything other than type one message to Meta's new Muse app, click confirm, and my groceries are on the way.'

A Muse user: Muse ordered two lattes by voice and handled payment on the free tier. Caveat: it auto-added a tip without asking and totaled $19 for two $6 lattes : they had to correct it. Cool, but confirm totals.

A Muse user: Muse getting the groceries for a paella right is a high bar : ingredients matter.

Found and ordered the best chocolate cake on DoorDash while the user watched football.

A Muse user: Muse proactively helping flip thrift items, unprompted : it finds work on its own.