Skip to content
Messaging Agents

Buying

Finding the thing, putting it in the cart, paying for it. Below are 4 recorded examples of people doing exactly this with a messaging agent, with what each one shows and where it came from.

4 examples

  1. MuseWhatsApp

    Asked to find a green puffer jacket, Muse searched, found live discount codes, added the jacket to a cart, applied the codes and bought it at the cheapest price it could reach. The person reporting it was showing it to his wife rather than testing it, and describes her reaction rather than the mechanics.

    Why it is notable

    It is the first public account of an agent in this directory running a complete purchase end to end, including the step nobody demos: hunting live discount codes and applying them at checkout. Meta's own launch material describes Muse as able to use a browser and connect to apps. It does not claim this sequence, and a claim from the company would be worth less than this anyway, because the interesting part is that it worked on a real store the vendor did not choose.

    Posted by a user by BuccoCapital Bloke (@buccocapital): x.com, 2026-09-10. Added 2026-09-10.

  2. MuseWhatsApp

    The second example from the same person: Muse found a recipe and loaded the ingredients into a Whole Foods cart, leaving the order to be placed. Reported in passing, as one of two things he showed his wife.

    Why it is notable

    It is the same shape as the kitchen agent listed here separately, arriving as a side effect of a general assistant rather than as a product. That is the pressure a single-purpose listing is under and it is worth dating: one of these two products was built to do this and the other picked it up on the way past. It also stops one step short of paying, which is the distinction this task page exists to draw.

    Posted by a user by BuccoCapital Bloke (@buccocapital): x.com, 2026-09-10. Added 2026-09-10.

  3. TomoiMessage

    Tomo's founder published the first three purchases the product ever made, each tied to a goal its owner had set. The first was $81 on a Japanese textbook for a user in Hawaii who had always wanted to learn the language. Then $55 of whey protein for someone getting in shape, and a $109 sunrise alarm clock for someone trying to sleep better.

    Why it is notable

    Three amounts, three items and a reason for each, which is more specificity than any other product here has published about money it spent. The pattern is the finding: all three are aspirational purchases against a stated goal rather than replenishment, which is the argument the company makes for why people let it spend at all, and it is checkable against whatever the next batch looks like.

    Published by the product by Justin Quan (@justoutquan): x.com, 2026-09-10. Added 2026-09-10.

  4. MuseWhatsApp

    A user asked Muse what it could actually do on Facebook Marketplace. It offered to watch a specific listing or a saved search on a schedule, to search by query, price, location and condition, and to negotiate with sellers over Messenger once that connector is turned on. No purchase was made: this is the agent describing its own reach when asked.

    Why it is notable

    Two limits arrived unprompted, which is what makes it worth recording. The watch runs on scheduled checks rather than instant detection, so it is not a bidding war tool, and it cannot message a seller at all until Messenger is connected. Both are the sort of qualification a marketing page states as a capability without the caveat, and both come from the agent itself rather than from us.

    Worth reading against Muse's own listing, which names Stripe Link as its one integration. What the product says it connects to and what it will offer to do when asked are not the same list, in either direction. His verdict on the same post, about a third-party agent being one enforcement decision from losing that access, is filed under what people say.

    Posted by a user by Loktar (@loktar00): x.com, 2026-09-08. Added 2026-09-09.

All use cases