How to read these runs
Claims about what an AI agent did for a business are easy to make and hard to check, so this page separates its evidence before it presents it. The first three runs are businesses Meta itself named as early testers when it launched Muse for Small Business on September 29, 2026. They are real businesses with real names, and their stories are also, openly, the examples Meta chose to publish. The fourth run is an independent hands on test with scores attached. The fifth is one Reddit user's self reported experiment. Every run is labelled with which kind of evidence it is, what the business asked, what happened, the result, and the limit that came with it. Believe each one exactly as much as its label earns.
One more label applies to all five. Every run in this article happened between September 29 and October 12, 2026, the first five weeks of the business offer: young evidence about a young product, gathered while features were still rolling out and access was still expanding. That cuts both ways. It means the failures may age out as the product matures, and it means the successes have not yet survived contact with a busy season. We will update this page as longer, larger, and less curated runs are published.
Run one: the grocer and the time cards
Who. Tom Mulholland, owner of Mulholland Grocery in Iowa, named by Meta as an early tester of the business offer.
What he asked. Payroll arithmetic. He photographed his employee time cards and had Muse total them, turning a stack of paper cards into the numbers payroll needs.
What happened. Muse read the photographed cards and did the totalling. The owner reported the job cut at least 15 minutes from payroll.
The result and the limit. Fifteen minutes is a small number, and that is what makes it believable. Nobody's quarter was transformed. A recurring, bounded, checkable chore got faster, and the owner could verify every total against the cards in his hand. The limit is the label: this is a story Meta selected to tell about its own launch, reported in the owner's words, with no independent measurement. Treat it as a true shape of value, minutes saved on paper chores, rather than a measured benchmark.
Run two: the boutique and the duplicate emails
Who. April Polk, owner of JaeLuxe Shoetique, a shoe boutique in Ohio, also named by Meta.
What she asked. An audit. She had Muse review the email automations her business had accumulated over time.
What happened. Muse found duplicate flows, automations that had been double emailing her customers, and she used it to kill the duplicates, rebuild the templates, and turn on tracking that had been missing.
The result and the limit. This is the most instructive of Meta's three stories, because the win was not doing a new job. It was reading a whole system at once and spotting what a busy owner had stopped seeing: her own setup quietly spamming her own customers. Agents are genuinely good at this shape of work, tireless review across everything, with the findings handed back for approval. The limit is the same as the grocer's: a Meta chosen example, told because it ended well. Nobody publishes the audit that found nothing, or the one that broke a flow that mattered.
Run three: the orchard and the paperwork
Who. Henry Bennett, owner of Bennett Orchard in Delaware, the third of Meta's named testers, also featured on CNBC's Mad Money.
What he asked. Help with the information load of a regulated food business: frost protection data when the weather threatens the crop, and food safety compliance paperwork.
What happened. He used Muse on the data and the documents: watching the frost picture and keeping the compliance side in order, the paperwork layer of running an orchard.
The result and the limit. Of the three stories this is the least quantified, and the guide will not invent a number for it. What it shows is range: the same agent that totals time cards in a grocery is being pointed at weather data and regulated paperwork on a farm. The limit matters more here than anywhere. Compliance paperwork is a domain where a confident wrong answer costs real money, and Meta's story does not describe how the work was checked. Read it as evidence that owners are trusting Muse with serious documents, and as a reminder to keep your own verification exactly where it was. Our risk checklist covers that discipline in full.
Run four: the independent Facebook test
Who. The AI Agents Library, an independent testing publication, which ran Muse through a full Facebook workflow on October 10, 2026, on the free plan, and published scores for each part. This is the most checkable business evidence available, because it was not produced by Meta and it includes the failures.
What was tested. Four jobs a Page owner actually does. Reading Page analytics. Writing captions. Making images for posts. Scheduling a post live, and posting into a public Facebook Group.
What happened, with the scores as published. Page analytics scored 8.5 out of 10: the figures Muse reported matched Meta Business Suite exactly. Caption writing landed in the owner's voice, because Muse worked from her past posts. Images scored 7.5 out of 10: the first attempts missed her brand, improved to a close match once she uploaded a reference design of her own, and still put some words inside images wrong. A scheduled Page post went live as arranged, also scored 8.5 out of 10. Posting to a public Group scored 7 out of 10 and worked through the browser after she signed in herself. Across the four tests the average was 7.9 out of 10.
The result and the limit. Her verdict is the line to remember: Muse is a good supervised Facebook assistant, and she would not publish with it unsupervised. Note the pattern inside the scores. The jobs with a checkable right answer, analytics and scheduling, scored highest. The judgement job, images in her brand, scored lowest and needed her material to improve. And this same tester's broader ten task business test of Muse produced a cooler overall impression, 6.5 out of 10, with individual tasks averaging higher. Supervised is not a criticism of the tool. It is a description of where the tool currently ends and the owner begins.
Run five: one user and his five money tests
Who. A Reddit user in r/MuseAgent, who posted on October 12, 2026 under a title built on Mark Zuckerberg's claim that Muse will make you money, and reported testing five ways to do it. This is one user's self reported experiment. Nothing in it is independently verified, and it is included because it is the shape of thing owners are actually trying, described in the open.
What he tested. Lead generation for roofing, where Muse pulled public posts from local Facebook groups in which people were asking for roofing work. Used car arbitrage on Facebook Marketplace. Website and social media services for new businesses, the one test where he reports real world motion: he reached out to prospects Muse found, and a meeting is scheduled. Research into underpriced land. And research into undervalued businesses for sale.
What happened. His conclusion, in his own summary, is that having Muse do the research portion is a game changer. Read that sentence carefully, because it is more honest than his title. In all five tests, the documented value sits in the research layer: finding the posts, scanning the listings, building the shortlist. The closing, the buying, the selling, and the revenue are not in the report.
The result and the limit. One scheduled meeting, five researched pipelines, zero documented income. That is not a failure of the test; it is the correct calibration for every money claim in this category. Muse compresses the hours between an idea and a shortlist. Whether the shortlist becomes money remains the owner's job, and any guide that tells you otherwise is selling something. The research compression is real, though, and for owners whose bottleneck is finding the opportunity, it is the layer that matters.
The wider review record
Beyond these five runs, the launch review wave adds supporting detail. Fast Company, summarising the launch reviews from outlets including The New York Times, Android Authority, The Verge, and TechRadar, credited Muse with handling dental insurance hold times, cancelling duplicate subscriptions, requesting refunds, clearing promotional email, building shopping carts, and messaging Marketplace sellers. Errands and inbox work, again and again, are where the credible reports cluster.
The counterweight is just as consistent. In Tom's Guide testing, only 3 of 7 deal finding prompts worked, and multiple reviewers noted that performance drops once Muse steps outside Meta's own properties, with Amazon blocking it from shopping entirely and Instacart flagging accounts. The agent is at its best inside the garden its maker owns. Outside the fence, results thin out fast.
What these runs prove, and what they do not
What they prove. Bounded jobs with checkable answers get done: totals totalled, duplicates found, figures matched, posts scheduled. Real minutes come back, in the one case an owner counted them, at least 15 minutes on a single recurring chore. The research layer of business, scanning groups, listings, reviews, and inboxes, compresses dramatically. And supervision is not a phase reviewers expect to end soon; it is the working arrangement in every credible report we have.
What they do not prove. They do not prove Muse runs any part of a business unsupervised; the best independent score on this page came with the opposite conclusion attached. They do not prove revenue: across five runs and the wider record, documented income attributable to Muse is zero, and the one hard business outcome is a meeting. They do not prove performance outside Meta's properties, where the record is mixed to poor. And Meta's three stories, however genuine the businesses, are a launch selection. The honest summary is narrower and more useful than the marketing: Muse already saves owners time on reading, totalling, drafting, and finding. The rest is still being earned. If you want to run your own first documented job, the setup guide starts you in the right order.
Get started
Every run on this page started with a Muse account. Get a free code from the community pool if you are in the United States or Canada, pick one bounded job with a checkable answer, and keep your own notes on what it saves you. Outside the launch countries, the waitlist holds your place.
Get a code Join the waitlistFrequently asked questions
- What is the clearest documented time saving?
- The payroll run at Mulholland Grocery in Iowa, where the owner photographed employee time cards, had Muse total them, and reported cutting at least 15 minutes from payroll. It is Meta's own chosen example, told in the owner's words, so treat the shape of the saving as the evidence rather than the exact figure.
- Can Muse run my Facebook Page by itself?
- The best independent evidence says not yet. The AI Agents Library's scored Facebook test averaged 7.9 out of 10 across analytics, captions, images, and scheduling, and its verdict was that Muse is a good supervised assistant that it would not publish with unsupervised. Analytics and scheduling scored highest; brand judgement scored lowest.
- Did the Reddit money tests actually make money?
- Not in any documented way. The user tested five approaches, from roofing lead research in Facebook groups to used car arbitrage, and reported one real outcome: a meeting scheduled with a prospect Muse found. His own conclusion was that Muse doing the research portion is the game changer. Revenue was not part of the report.
- How much should I trust Meta's three tester stories?
- The businesses are real and named: a grocery in Iowa, a shoe boutique in Ohio, an orchard in Delaware. The stories are also the examples Meta selected for its launch, reported without independent measurement. Use them to learn what kinds of jobs owners hand Muse, not as benchmarks for what your results will be.
- Do these results apply to businesses outside the United States?
- The runs themselves are American, because Muse has launched only in the United States and Canada. The pattern travels better than the access: bounded jobs, checkable answers, and work inside Meta's own properties are where the credible results cluster, wherever Muse arrives next.
Built with Muse is an independent community project. Not affiliated with or endorsed by Meta.