{"id":"publication:900001","publicationId":900001,"storyId":1290002,"slug":"muse-takes-app-store-crown-as-personal-agents-spread","canonicalUrl":"https://www.thelastdaily.com/article/muse-takes-app-store-crown-as-personal-agents-spread","machineReadableUrl":"https://www.thelastdaily.com/api/public/articles/muse-takes-app-store-crown-as-personal-agents-spread.json","headline":"Muse Takes App Store Crown as Personal Agents Spread","dek":"Muse’s brief rise to the top of Apple’s US free-app chart points to a new intermediary between consumers and the web—one that could redirect shopping, news traffic and advertising while demanding unprecedented trust.","bodyMarkdown":"Meta’s Muse reached No. 1 among free apps in Apple’s US App Store on September 18, displacing ChatGPT scarcely 10 days after Meta introduced the personal-agent app. The chart position is a snapshot, not a measure of lasting use. But it is an unusually clear signal that software once presented as a technical curiosity is being packaged for ordinary consumers.\n\nA day earlier, Meta had expanded Muse to the Mac. On September 28, Manus announced Cue, a standalone app intended to give users personal agents with their own email address, phone number, wallet and computer. Cue remains in invite-only early access, with its iOS version awaiting App Store review.\n\nThe launches arrived weeks after xAI introduced Grok Bot, a beta product that gives paying subscribers always-on agents able to work across apps, inboxes and other tools. The products differ in maturity and target market. Grok Bot is framed as a digital colleague for paid users and teams, while Cue is still an early-access service.\n\nYet the common proposition is sharper than the old chatbot promise: tell the software what outcome you want, then let it move through the intervening screens. Muse says it can send email, book travel, open a browser, fill out forms and negotiate on a person’s behalf. Meta says it asks for approval before sensitive steps, including sending an email or making a purchase.\n\nThe company also says users can opt out of having interactions used to train its AI models, and that conversations and data in its virtual machine are not shared with Meta’s advertising systems.\n\n> “There’s no learning curve. Anyone can use it out of the box, no technical experience required,” Meta said when introducing Muse. That simplicity is the change that matters.\n\nPrevious agent demonstrations often required users to understand prompts, plug-ins, browser permissions and brittle sequences of commands. The new pitch is conversational: message an agent as one might message an assistant, then approve the moments that carry money, reputation or risk.\n\n## The new customer may not be human\n\nFor retailers, that changes the route to a sale. Search rankings, polished product pages and carefully timed adverts have long competed for a shopper’s attention. An agent instructed to find a suitable hotel, compare a product or reorder a household item may instead sort options according to price, availability, stated preferences and whatever commercial rules are embedded in its service.\n\nThat could make an agent a powerful consumer advocate. It could also turn it into a new gatekeeper. A retailer will want to know which signals determine a recommendation, whether paid placement can influence it, and whether an agent can complete a purchase without sending a shopper back through the familiar storefront.\n\nPublishers face a related problem. A personal agent can be asked to read a day’s news, extract the relevant facts and deliver a summary in a messaging window. That may be useful for readers overwhelmed by feeds and alerts.\n\nIt may also mean fewer visits to the articles that supplied the reporting, and less opportunity for publishers to earn advertising or subscription revenue from direct relationships with readers. The App Store rise gives that prospect more weight. On September 10, TechCrunch reported, citing Sensor Tower, that Muse had passed 83,000 iOS downloads in the United States and ranked second on the country’s top charts.\n\nEight days later, Business Insider and 9to5Mac reported that it had taken the top free-app position. The product was still limited to the US, making the surge more notable but also limiting what can be inferred about global demand.\n\n## Delegation requires trust\n\nThe commercial disruption depends on an unresolved practical question: will people trust agents with credentials, payment details, private messages and the authority to act? A chatbot that offers a bad restaurant suggestion is an inconvenience. An agent that misunderstands a date, sends an email to the wrong person or buys the wrong item creates a more immediate cost.\n\nMeta’s approval requirement for sensitive actions acknowledges that boundary. Cue’s design pushes further toward delegated identity: Manus says each agent can have its own email, phone number, wallet and computer. Those tools could make an agent more useful, but they also make the questions of account security, fraud and responsibility harder to avoid.\n\nIf a transaction goes wrong, the user needs to know whether the error belongs to the merchant, the platform, the model or the agent service. Privacy is equally tangled. An agent cannot book, compare, summarise or manage messages without seeing a broad slice of a person’s life.\n\nMeta’s assurances set one standard for Muse, but they do not settle how other services will use task histories, browsing data, contacts or purchasing patterns—or whether an agent’s recommendation is loyal to its user rather than to a partner, advertiser or parent company.","bodyHtml":"

Meta’s Muse reached No. 1 among free apps in Apple’s US App Store on September 18, displacing ChatGPT scarcely 10 days after Meta introduced the personal-agent app. The chart position is a snapshot, not a measure of lasting use. But it is an unusually clear signal that software once presented as a technical curiosity is being packaged for ordinary consumers.

\n

A day earlier, Meta had expanded Muse to the Mac. On September 28, Manus announced Cue, a standalone app intended to give users personal agents with their own email address, phone number, wallet and computer. Cue remains in invite-only early access, with its iOS version awaiting App Store review.

\n

The launches arrived weeks after xAI introduced Grok Bot, a beta product that gives paying subscribers always-on agents able to work across apps, inboxes and other tools. The products differ in maturity and target market. Grok Bot is framed as a digital colleague for paid users and teams, while Cue is still an early-access service.

\n

Yet the common proposition is sharper than the old chatbot promise: tell the software what outcome you want, then let it move through the intervening screens. Muse says it can send email, book travel, open a browser, fill out forms and negotiate on a person’s behalf. Meta says it asks for approval before sensitive steps, including sending an email or making a purchase.

\n

The company also says users can opt out of having interactions used to train its AI models, and that conversations and data in its virtual machine are not shared with Meta’s advertising systems.

\n
“There’s no learning curve. Anyone can use it out of the box, no technical experience required,” Meta said when introducing Muse. That simplicity is the change that matters.
\n

Previous agent demonstrations often required users to understand prompts, plug-ins, browser permissions and brittle sequences of commands. The new pitch is conversational: message an agent as one might message an assistant, then approve the moments that carry money, reputation or risk.

\n

The new customer may not be human

\n

For retailers, that changes the route to a sale. Search rankings, polished product pages and carefully timed adverts have long competed for a shopper’s attention. An agent instructed to find a suitable hotel, compare a product or reorder a household item may instead sort options according to price, availability, stated preferences and whatever commercial rules are embedded in its service.

\n

That could make an agent a powerful consumer advocate. It could also turn it into a new gatekeeper. A retailer will want to know which signals determine a recommendation, whether paid placement can influence it, and whether an agent can complete a purchase without sending a shopper back through the familiar storefront.

\n

Publishers face a related problem. A personal agent can be asked to read a day’s news, extract the relevant facts and deliver a summary in a messaging window. That may be useful for readers overwhelmed by feeds and alerts.

\n

It may also mean fewer visits to the articles that supplied the reporting, and less opportunity for publishers to earn advertising or subscription revenue from direct relationships with readers. The App Store rise gives that prospect more weight. On September 10, TechCrunch reported, citing Sensor Tower, that Muse had passed 83,000 iOS downloads in the United States and ranked second on the country’s top charts.

\n

Eight days later, Business Insider and 9to5Mac reported that it had taken the top free-app position. The product was still limited to the US, making the surge more notable but also limiting what can be inferred about global demand.

\n

Delegation requires trust

\n

The commercial disruption depends on an unresolved practical question: will people trust agents with credentials, payment details, private messages and the authority to act? A chatbot that offers a bad restaurant suggestion is an inconvenience. An agent that misunderstands a date, sends an email to the wrong person or buys the wrong item creates a more immediate cost.

\n

Meta’s approval requirement for sensitive actions acknowledges that boundary. Cue’s design pushes further toward delegated identity: Manus says each agent can have its own email, phone number, wallet and computer. Those tools could make an agent more useful, but they also make the questions of account security, fraud and responsibility harder to avoid.

\n

If a transaction goes wrong, the user needs to know whether the error belongs to the merchant, the platform, the model or the agent service. Privacy is equally tangled. An agent cannot book, compare, summarise or manage messages without seeing a broad slice of a person’s life.

\n

Meta’s assurances set one standard for Muse, but they do not settle how other services will use task histories, browsing data, contacts or purchasing patterns—or whether an agent’s recommendation is loyal to its user rather than to a partner, advertiser or parent company.

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