Buy games, get mover quotes and book dinner with Muse
The author automated consumer tasks with Meta Muse — buying a game, booking dinner, managing fantasy-football waivers, and getting mover quotes in 2 minutes — but it hallucinated a fake phone number, used stale restaurant data, and purchased slower than a human. An 11% stock bump and 560,000 daily users are app-level figures, not task results. Task: META GOOG AMZN Meta (META) is riding high on its Muse AI agent. The app has hit the top spot on both Apple's App Store and Google's Play Store and, according to market intelligence firm Sensor Tower, reached 560,000 daily active users after just 11 days. The app's early success sent Meta stock soaring 11% on Monday, as the market digested the positive news. AI agents are the next step in the evolution of AI. Rather than being chatbots like ChatGPT or Claude, agents use AI models to get things done. They aren't new, either. OpenAI (OPAI.PVT), Anthropic (ANTH.PVT), Google (GOOG, GOOGL), and Amazon (AMZN) each offer their own agents, as do open-source firms. What sets Muse apart, however, is its focus on the consumer market. The idea is for Muse to get things done on your behalf. That includes things like firing off emails, helping organize your schedule, and shopping for you. I took the agent for a test run to see how it stacks up to the hype and came away impressed with how well it handled most of what I threw at it, even if it ran into a few hiccups along the way. When you first fire up Muse, you'll get the option to name the AI agent a custom name. Muse suggested a few options, but I chose to stick to plain old Muse. And then I got to work. I started out by asking the agent to provide me with hourly updates on the latest tech headlines from a variety of news sites, something that would instantly make my work life a bit easier. A small avatar that looks like a mix between an Ewok from "Star Wars" and Finn from "Adventure Time" started tapping away on a tiny keyboard at the top of the screen, indicating that Muse was processing my request. The agent then came back with a confirmation that it would provide the headlines and links to the appropriate sites, even noting that some required subscriptions to access the full articles. Not too shabby. I'm in the market for a new video game for my Nintendo Switch 2, so I figured, why not let Muse take the wheel and buy it for me? I asked the agent to get to it. Muse navigated to Nintendo's site and started the purchasing process, giving me a heads up as it moved through various steps. Once it got to the point where it needed to log into my Nintendo account, Muse asked for my information, noting that it would stay in secure storage and that the agent couldn't see or read what I typed. Muse moved forward with the purchase, breaking down the total cost, saying it would charge it to my credit card on file with Nintendo, and prompting me to hit the buy button. All in all, it was a pretty seamless experience, save for me forgetting my Nintendo login a few times. But it was also much slower than if I simply went to the Nintendo site myself and ordered the game. I could, however, see how this would be helpful for someone who was buying a number of disparate items for, say, a party or a big move. Speaking of which… I'm moving and still haven't nailed down a mover. So I asked Muse to help compare local moving companies and provide some quotes. The agent asked for my current address, where I'm moving to, the number of bedrooms in my current place, if there are any stairs or elevators, and for the email and phone number where prospective movers could reach me. Muse found four different companies in my area and sent out my request for quotes. About two minutes later, my phone was blowing up with calls from two of the movers. One company offered a quote straight up, which Muse provided to me. The other movers sent over emails. That's the exact kind of use case that would get me to use an AI agent in my personal life. It took the annoying task of searching for movers and turned it into a quick back and forth before I was flooded with quotes. I then decided I'd book a date night for my wife and me, giving Muse some basic ideas for what I was looking for. It followed up with four suggestions, one of which I ended up booking via the agent through OpenTable. I even used Muse to help grab a new defense for my fantasy football team. I connected the agent to my Yahoo Fantasy Football account, and it searched for the defenses with the highest projected scores for the coming week. Since I could only claim them on waivers, Muse put in a waiver request for the Kansas City Chiefs and dropped Green Bay. The next day, when the claims were processed, Muse slotted Kansas City into my lineup as my active defense.; tools: Meta Muse. Human role: The original post does not say how a person stayed involved.; limitations: Meta has a history of privacy controversies, including a $5 billion FTC settlement in 2019, which may cause user hesitancy regarding data sharing. The agent is prone to hallucinations, such as inventing phone numbers or using outdated business information, requiring human verification of all outputs. Automated purchasing is slower than manual interaction, and the agent requires explicit user approval for financial transactions and credential entry..
Tools
Published on Agent Work Atlas:
Overview
The author automated consumer tasks with Meta Muse — buying a game, booking dinner, managing fantasy-football waivers, and getting mover quotes in 2 minutes — but it hallucinated a fake phone number, used stale restaurant data, and purchased slower than a human. An 11% stock bump and 560,000 daily users are app-level figures, not task results.
Workflow
META GOOG AMZN Meta (META) is riding high on its Muse AI agent. The app has hit the top spot on both Apple's App Store and Google's Play Store and, according to market intelligence firm Sensor Tower, reached 560,000 daily active users after just 11 days. The app's early success sent Meta stock soaring 11% on Monday, as the market digested the positive news. AI agents are the next step in the evolution of AI. Rather than being chatbots like ChatGPT or Claude, agents use AI models to get things done. They aren't new, either. OpenAI (OPAI.PVT), Anthropic (ANTH.PVT), Google (GOOG, GOOGL), and Amazon (AMZN) each offer their own agents, as do open-source firms. What sets Muse apart, however, is its focus on the consumer market. The idea is for Muse to get things done on your behalf. That includes things like firing off emails, helping organize your schedule, and shopping for you. I took the agent for a test run to see how it stacks up to the hype and came away impressed with how well it handled most of what I threw at it, even if it ran into a few hiccups along the way. When you first fire up Muse, you'll get the option to name the AI agent a custom name. Muse suggested a few options, but I chose to stick to plain old Muse. And then I got to work. I started out by asking the agent to provide me with hourly updates on the latest tech headlines from a variety of news sites, something that would instantly make my work life a bit easier. A small avatar that looks like a mix between an Ewok from "Star Wars" and Finn from "Adventure Time" started tapping away on a tiny keyboard at the top of the screen, indicating that Muse was processing my request. The agent then came back with a confirmation that it would provide the headlines and links to the appropriate sites, even noting that some required subscriptions to access the full articles. Not too shabby. I'm in the market for a new video game for my Nintendo Switch 2, so I figured, why not let Muse take the wheel and buy it for me? I asked the agent to get to it. Muse navigated to Nintendo's site and started the purchasing process, giving me a heads up as it moved through various steps. Once it got to the point where it needed to log into my Nintendo account, Muse asked for my information, noting that it would stay in secure storage and that the agent couldn't see or read what I typed. Muse moved forward with the purchase, breaking down the total cost, saying it would charge it to my credit card on file with Nintendo, and prompting me to hit the buy button. All in all, it was a pretty seamless experience, save for me forgetting my Nintendo login a few times. But it was also much slower than if I simply went to the Nintendo site myself and ordered the game. I could, however, see how this would be helpful for someone who was buying a number of disparate items for, say, a party or a big move. Speaking of which… I'm moving and still haven't nailed down a mover. So I asked Muse to help compare local moving companies and provide some quotes. The agent asked for my current address, where I'm moving to, the number of bedrooms in my current place, if there are any stairs or elevators, and for the email and phone number where prospective movers could reach me. Muse found four different companies in my area and sent out my request for quotes. About two minutes later, my phone was blowing up with calls from two of the movers. One company offered a quote straight up, which Muse provided to me. The other movers sent over emails. That's the exact kind of use case that would get me to use an AI agent in my personal life. It took the annoying task of searching for movers and turned it into a quick back and forth before I was flooded with quotes. I then decided I'd book a date night for my wife and me, giving Muse some basic ideas for what I was looking for. It followed up with four suggestions, one of which I ended up booking via the agent through OpenTable. I even used Muse to help grab a new defense for my fantasy football team. I connected the agent to my Yahoo Fantasy Football account, and it searched for the defenses with the highest projected scores for the coming week. Since I could only claim them on waivers, Muse put in a waiver request for the Kansas City Chiefs and dropped Green Bay. The next day, when the claims were processed, Muse slotted Kansas City into my lineup as my active defense.
Reported result
The agent successfully completed most tasks, such as securing mover quotes within two minutes and executing fantasy football waivers, though it hallucinated a fake phone number and relied on stale data for restaurant searches. The purchase workflow was functional but slower than manual execution. The app's early success reportedly drove Meta stock up 11% and reached 560,000 daily active users in 11 days, according to Sensor Tower.
Human role
The original post does not say how a person stayed involved.
Limitations
Meta has a history of privacy controversies, including a $5 billion FTC settlement in 2019, which may cause user hesitancy regarding data sharing. The agent is prone to hallucinations, such as inventing phone numbers or using outdated business information, requiring human verification of all outputs. Automated purchasing is slower than manual interaction, and the agent requires explicit user approval for financial transactions and credential entry.
Try it
Act as a consumer automation assistant using Meta Muse. I will provide a specific task: [replaceable task, e.g., 'Find quotes for moving a 2-bedroom apartment from [Origin] to [Destination]']. First, ask me for necessary details like addresses and contact info. Then, search for local providers and send quote requests. Before sending any messages or making bookings, present the draft action to me for approval. If the task involves purchasing, navigate to the site, stop at the payment screen, and wait for my explicit confirmation to proceed. After completion, verify the results for accuracy, specifically checking for hallucinated contact details or outdated information. If errors are found, report them immediately. Do not execute financial transactions without my direct input.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.