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Messaging Agents

Research

Finding something out, then acting on 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. An investor named his Muse agent Alfred and gave it five standing jobs: watch X for the investing topics and tickers he follows, transcribe and summarise podcasts, run a daily news check on the names he covers, watch for proposed regulation and litigation touching his watchlist, and write a morning macro summary. Posted in reply to Meta's chief AI officer saying to use Muse for investing.

    Why it is notable

    Five recurring monitors rather than five one-off tasks, which is the second published account in two days of Muse doing standing research for an investor, after the trade-alpha dashboard. The jobs are all reading and summarising; nothing here buys, books or logs in anywhere, which is the part of the product every account so far says works. The prompt came from Meta itself, and the reply is the first outside record of somebody taking it up.

    Which surface he uses is not in the post, so the channel is blank. What is in it is a list, and a list of monitors is a different claim from a list of tasks: each one has to keep working tomorrow.

    Posted by a user by SouthernValue (@SouthernValue95): x.com, 2026-09-11. Added 2026-09-11.

  2. MuseWeb

    An equity analyst had Muse read his trade confirmation emails, benchmark every buy and sell against the S&P 500 from the day of the trade, and plot the notional-weighted alpha over time, with a per-trade view. He used to keep the same journal in a spreadsheet and stopped because the trades had to be typed in.

    Why it is notable

    The job was abandoned by hand and revived by the agent, which is a cleaner argument for the category than any demo of booking a table. It also shows what a mailbox connector is for beyond triage: the inbox as a data source, and a dashboard built from it in the app rather than a reply in a thread.

    Done in Muse's app rather than on WhatsApp, which is where the listing says most of its features live. His longer first-day account of the product is on this site as a voice, with the prices he saw in the upgrade sheet.

    Posted by a user by Mostly Borrowed Ideas (@borrowed_ideas): x.com, 2026-09-10. Added 2026-09-11.

  3. InstinctiMessage

    A couple appeared on the Jumbotron at the US Open and wanted the clip. She sent Instinct their seat numbers and a selfie at 11:08pm; by 11:20 it had filed a case with the USTA and emailed the ticket office, the company that produces the tournament and Amex's US Open media contact, and when the production company's address bounced it found that company's web form and went in through that instead. Overnight it went through ESPN's 22-minute highlight package frame by frame checking every crowd shot, found nothing, and kept going after the USTA said no three times on the grounds that the footage is not recorded or archived for public distribution. The next afternoon a director at the production company saw the web submission and passed it on, a producer replied that an editor had cut all the couples from that break, and the footage arrived 18 hours after the first message with no follow-up from her at any point.

    Why it is notable

    It is the most complete account anybody has published of one of these agents doing a job end to end, and none of it is a booking. What it actually did was work an organisation: find the right four parties, route around a bounced address, absorb three refusals without stopping, and keep going overnight on a search that turned out to be pointless. That is the shape of work people hire other people for, and the only reason it is visible here is that the person kept the timestamps.

    A five-post thread, seen 2.8 million times on its first post alone, quoted from the first and summarised from the rest. Unverified by us, and worth reading with the same eye as the ban story: an agent that will email four organisations and file a case on your behalf is an agent acting as you, to people who did not know they were talking to software.

    Posted by a user by Olivia (@oliviaalevine): x.com, 2026-09-04. Added 2026-09-09.

  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.

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