Meta's Muse is an AI agent that does work for you. Each case below is a real scenario with the exact prompt to paste — adjust the bracketed parts, send it, approve when asked.
The job: You know roughly when you want to fly, but not whether today's price is good. Muse watches the route and alerts you at your target price.
Watch round-trip flights from [SFO] to [Tokyo] for [Dec 18 – Jan 4]. Alert me the moment any reputable airline drops below [$650]. Check twice a day. When you find one, hold the fare if possible and ask me before booking — never book without my approval.
Why it works: a standing goal with a numeric trigger. Muse keeps working in the background and only interrupts you when the condition hits — that's the whole point of an agent.
The job: Find every recurring charge across your statements — including duplicates and forgotten trials — and build a cancel list.
Review my last 3 months of card and bank statements. List every recurring subscription or membership charge: merchant, amount, frequency, and first-seen date. Flag duplicates (same service charged twice) and anything that looks like a free trial that converted. Present it as a table with a "recommended action" column: keep, cancel, or investigate. Don't cancel anything — just report.
Why it works: explicit scope (3 months), explicit output format (table), explicit authority limit (report only). This was one of Meta's own launch examples.
The job: The school mailing list is chaos. Muse finds action items — permission slips, deadlines, forms — fills what it can, and queues the rest for your signature.
Every weekday at 4pm, scan my email for messages from [school name / district]. Extract anything that needs action: permission slips, forms, payment deadlines, event signups. Fill out forms with [child name, grade 7, emergency contact ___] where possible. Give me a single summary with: what needs my signature, what's due when, and what you already handled. Archive the newsletters.
Why it works: recurring schedule + clear triage rules + pre-filled constants (child's details) so Muse doesn't have to ask every time.
The job: Your internet or phone bill crept up. Muse researches what competitors charge and negotiates a lower rate for you.
I'm paying [$89/month] to [ISP] for [500 Mbps]. Research current competitor offers in [zip code] for comparable speeds. Then contact [ISP] support on my behalf and negotiate a lower rate — target [$60/month] or less. You may accept any offer at or below [$65]. Report back with what you got before changing anything on my account, and never agree to a longer contract term without asking me.
Why it works: Muse can browse and interact with support chats — the boring, time-consuming part you'd never do yourself. The walk-away number keeps it honest.
The job: You save cooking videos on Instagram and never cook them. Muse turns this week's saved reels into one grocery list and orders it.
Look at the recipe reels I've saved on Instagram this week. Pick the [3] most practical weeknight dinners. Extract the ingredient lists, merge them into one deduplicated grocery list, and check what I already have against [my usual staples: rice, eggs, soy sauce, olive oil]. Order the rest from [grocery service] for delivery [Saturday morning] — show me the cart and total before placing the order.
Why it works: cross-app reasoning (Instagram → grocery) is exactly what Muse's connectors are for. The "show me the cart first" keeps spending under your control.
The job: Hosting Saturday. Muse suggests a menu, remembers everyone's dietary restrictions, and sends the invites.
I'm hosting dinner for [6] on [Saturday at 7pm]. Guests: [names]. Dietary restrictions you should remember: [Sara — vegetarian, Mike — nut allergy]. Suggest a 3-course menu that works for everyone, make a shopping list, and draft invitations. Show me the menu and invite text for approval before sending anything.
Why it works: this is Meta's own launch example — memory (dietary restrictions) + planning + drafting, with approval gates on the irreversible steps.
The job: Plan a trip that fits around meetings you already have, with real constraints — the canonical "strong request."
Plan my trip to [San Francisco] around the meetings already on my calendar for [Oct 12–15]. Nonstop flights only, aisle seat, total trip cost under [$700] including hotel. Prepare the full itinerary with flight and hotel options, but ask me before booking anything.
Why it works: objective + context (calendar) + constraints + authority limit. Compare with "find flights to San Francisco" and feel the difference.
The job: One summary at 8am: what arrived overnight, what needs you, what can wait.
Every weekday at 8am, summarize emails received since 6pm yesterday. Format: 🔴 needs a reply today (with a one-line draft I can approve), 🟡 FYI worth knowing, ⚪ everything else in one line each. Skip newsletters, promotions and notifications. Keep the whole digest under 300 words.
Why it works: a strict output format (and word cap) prevents the classic failure mode: an "executive summary" longer than the inbox itself.
The job: Training for a 10K. Muse watches your sleep and workout data and adjusts the plan when recovery is poor.
I'm training for a [10K on Nov 27]. Current level: [3 runs/week, ~5K each]. Build a 6-week plan. Each morning, check my sleep score and yesterday's workout from my connected health data — if my sleep score is under [70], swap hard sessions for easy recovery. Every Sunday, summarize the week and propose next week's adjustments for my approval.
Why it works: a goal with feedback loops. Muse doesn't just write a static plan; it adapts it from live data — from Zuckerberg's own launch demo.
The job: You bought something; the price drops a week later. Muse catches it and files the price-adjustment claim.
Track these recent purchases for 30 days: [item + order link]. If the price drops by more than [$20], check the retailer's price-adjustment policy and file a claim on my behalf. For anything under [$20], just log it in a monthly summary. Ask me before submitting any claim that requires agreeing to new terms.
Why it works: pure background value — money you'd never chase yourself, recovered automatically. Set it once, forget it.
The job: Muse isn't just a cost center — it can earn. Gig boards like musebook.lol and musemarket.lol pay AI agents in USDC for research, writing, and data tasks. Point your Muse at the boards and let it hunt gigs while you sleep.
Register yourself on musebook.lol as a worker. Generate a fresh keypair for it, keep the private key secret, and never share it. Then check the gig boards (Hire Hall and musemarket.lol) every 30 minutes for tasks matching [writing, research, data cleanup]. Only claim tasks you can genuinely complete. Ask me before claiming anything over [10 USDC]. Send all earnings to my [Base wallet address] and report every delivery and every payout to me immediately.
Why it works: this one is the playbook author's own live experiment (Sep 2026): my Muse registered on musebook.lol, claimed a 2.00 USDC writing gig on musemarket, and delivered it — the payout was still pending the poster's acceptance at the time of writing. Standing authorization with a value cap, plus mandatory payout reporting, keeps the money loop honest. Start with small gigs; raise the cap only after the first payout lands.
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📣 Real-user reports
17 more, from the wild
The cases above are playbook-tested patterns. The seventeen below come from real Muse users posting on Threads in September 2026 — lightly edited into copy-paste prompts, with links to the original posts. These are the users' own claims, not independently verified.
The job: A musician handed Muse his Meta Ads: it organized a messy Ads Manager, optimized spend, and ran campaigns driving traffic to Spotify and YouTube from his Instagram videos — "two months of admin in one day."
I run Meta ads to drive traffic to my [Spotify artist page]. Audit my Ads Manager: consolidate the messy campaigns, pause anything under [target ROAS], and shift budget to the winners. Draft next week's creative rotation from my latest [5] Instagram videos. Show me every change for approval before you touch a live campaign.
Why it works: creative and media buying in one loop — Muse sees both the videos and the numbers. The approval gate on live campaigns is non-negotiable when real ad spend is involved.
The job: Asked Muse to add his frequent-flier number to a partner-airline booking. It found the confirmation code in his email, opened the booking, added the number, and confirmed. His take: the value is "small everyday time savings that compound."
Find the confirmation number for my upcoming [airline] flight on [date] in my email. Open the booking on the airline's site and add my frequent-flier number [XXXXXX]. Verify it appears on the reservation and show me a screenshot. If the site asks for anything unexpected, stop and ask me.
Why it works: the unglamorous compounding case — email lookup + web navigation + verification, the exact three-step chain agents are built for.
The job: Her flight was delayed. Muse emailed the airline's director of customer care about compensation — then prepared a US DOT complaint and a French mediation filing as backup.
My [airline] flight [XX123] on [date] was delayed [3] hours. Research what compensation I can claim under [US DOT rules / EU 261]. Email customer care requesting it, citing the regulation. If they don't resolve it within [14 days], draft the regulator complaint for my review — prepare it, don't file it.
Why it works: escalation as a ladder — polite request first, regulator paperwork ready second. "Prepare, don't file" is the delegation boundary that makes this safe.
The job: During an active job search: inbox organized, application updates monitored, two offers' benefits compared side by side, decline email drafted — plus concert tickets, a barber slot, and dinner reservations on the side.
I'm job hunting. Every morning: scan my email for application updates and summarize what's new. Keep a tracker: company, role, stage, next step, deadline. When I have competing offers, compare them in a table — salary, equity, PTO, health, remote policy. Draft acceptance and decline emails, but send nothing without my approval.
Why it works: a high-stakes bundle where the agent's memory (every application, every stage) beats your spreadsheet — and the draft-not-send rule protects the relationships.
The job: Two-month Asia trip: Muse emailed hotels and restaurants in Japanese and Chinese, researched local-language sources instead of English travel blogs — all run through a dedicated Gmail account.
I'm planning a two-month trip to [Japan] in [October]. Email shortlisted hotels and restaurants in [Japanese] asking about [availability, vegetarian options, check-in times]. Research local-language sources — not just English travel blogs — for the best neighborhoods in [city]. Summarize every reply in English. Confirm nothing without my approval.
Why it works: language is a superpower here — Muse reads and writes the local web you can't. The dedicated email account keeps trip correspondence (and permissions) cleanly separated.
The job: An Instagram post listing a city's best burgers → Muse extracted the spots and saved them to Google Maps with notes. Cautionary detail: he first granted full Google account access, then switched to a dedicated account with shared edit access.
I saved an Instagram post listing the best [ramen spots] in [Tokyo]. Extract every spot, find each on Google Maps, and save them to a new list called "[Tokyo] food tour" with a one-line note on what to order. Use my dedicated Google account — don't touch my main one.
Why it works: the classic cross-app chain — social saves become a usable map. And the permission lesson is the real takeaway: start with a dedicated account, not your main one.
The job: After several days of use, shopping and grocery tasks ran "approximately ten times faster" — groceries are the perfect agent stress test: repetitive, constrained, and weekly.
Every [Sunday at 10am], build my grocery list from [these 5 staple meals] plus anything I've mentioned wanting this week. Check [store] for prices and deals, then place the delivery order for [Sunday afternoon]. Show me the cart and the total before you check out — swap anything over [$X] for a cheaper alternative and tell me.
Why it works: a weekly loop with a price ceiling and a cart review. Boring, repeatable, and exactly the kind of task humans procrastinate on.
The job: Overnight summaries across messaging apps, a daily briefing combining calendar + email, scam-detection alerts — plus Instagram analytics and Spotify history reviews on demand.
Every morning at 7:30: summarize what came in overnight across [WhatsApp, Messenger, email] — one line each, and flag anything where someone is waiting on me. Then brief my day: calendar events plus anything in email that affects them. Flag anything that smells like a scam or phishing. Keep the whole thing under 250 words.
Why it works: the agent reads five inboxes so you read one brief. The scam-flagging is a bonus only an always-on reader can provide.
The job: Kids' school emails, household responsibilities, business travel, Instagram content — one bundle, praised for working well out of the box.
Handle my family admin on weekdays: scan school emails for action items and deadlines, keep my business-trip packing lists current, and draft [2] Instagram posts a week from my recent photos. Every Sunday evening, give me one summary of what you handled and what's queued — nothing sends without my approval.
Why it works: bundling related-but-scattered chores into one standing delegation — the mental overhead disappears even though each task is small.
The job: One user ran Muse side-by-side against another agent and reported a higher success rate — praising the working-state indicators, approvals UI, and memory. His caveat: CAPTCHAs and logins can still need manual takeover.
I want to stress-test you on a real task: [organize last week's inbox into action items]. Narrate what you're doing as you go, ask approval before anything irreversible, and at the end give me an honest report: what worked, what you couldn't do, and where you needed me. No sugar-coating.
Why it works: turn evaluation into a delegation — the "no sugar-coating" report tells you exactly where the agent's limits are before you trust it with bigger jobs.
The job: One user handed Muse three procrastinated phone chores — calling auto dealerships for service quotes, calling plumbers and booking one, scheduling a dentist appointment — and reports it finished all three in about five minutes with minimal supervision.
Call [3 nearby auto dealerships] and get a written quote for [a full synthetic oil change + tire rotation on a 2021 Honda CR-V]. Then call [2 plumbers with 4.5★+ ratings within 10 miles] and book the earliest available slot next week for [a leaking kitchen faucet]. Morning slots preferred. Do not give any payment info or confirm any booking over [$150] without asking me first — report back with the quotes and proposed times, and ask before you lock anything in.
Why it works: Phone calls are the classic procrastination task — hold music, transfers, and price comparisons burn pure time. An agent doesn't mind waiting on hold.
The job: A tech writer got a $100 courtesy discount on an out-of-warranty device repair by having Muse file the support ticket — polite, persistent, and ready to escalate to a supervisor. His next job for it: finally booking the locksmith he'd been putting off.
File a support ticket with [manufacturer] about my [device model, serial #…, purchased Jan 2024]. Objective: get a courtesy discount or exception on the [$X] out-of-warranty repair fee. Context: [brief defect description; it failed 2 months after warranty expired]. Be polite but persistent — escalate to a supervisor if the first agent refuses. Do not accept any charge or provide payment details without asking me first. Report the final offer before I approve.
Why it works: Support-ticket trench warfare is high-friction, zero-skill work — writing tickets, citing warranty terms, insisting on a supervisor. An agent has more patience than you do.
The job: A fashion designer stopped asking Muse simple questions and started assigning real work. First job: analyze her posts and saved reels to learn her aesthetic, producing a taste profile matching her brand voice. Then she delegated two creative projects at once against that profile.
Study my last [50 Instagram posts and 30 saved reels]. Objective: write a 1-page taste profile of my aesthetic — colors, silhouettes, moods, what I avoid. Then, using that profile, plan [a teen fashion shoot]: propose [3 concepts], each with venue ideas, a shot list, and a prop list, all consistent with the profile. Do not contact any vendor or spend anything without asking me first — I approve concepts before you move to logistics.
Why it works: The hardest part of creative work is "getting the vibe right." Have the agent distill a taste profile from your own history once, and every future output is judged against the same yardstick.
The job: One user has Muse searching worldwide for vintage items in a price range, finding the cheapest flight in a quarter, and delivering a daily briefing on Tokyo matsuri and other events he cares about — all as standing goals that just run.
Standing goal, check daily. Objective: find [a vintage Leica M6, black paint, under $2,800] listed anywhere reputable worldwide (eBay, Map Camera, local camera shops with online listings). Alert me only when a listing meets all three: price under budget, seller rating above [98%], and return policy of at least [14 days]. Separately, send me a brief every morning of [Tokyo matsuri and firework festivals] happening in the next [14 days]. Never buy or reserve anything without asking me first.
Why it works: Great vintage finds and niche local events both hide behind sustained watching — scanning listings and event calendars daily. Humans get bored after three days; agents don't.
The job: Over one week as a personal assistant, a parent had Muse scheduling fall kindergarten tours and application dates, organizing Gmail, obtaining refunds, and kicking off delayed projects.
Research [8 kindergartens within 20 minutes of ZIP 10024]. Objective: build a comparison table (tour dates this fall, application deadlines, tuition, student-teacher ratio) and book tour slots for my top [3]. Context: tours must be on [weekday mornings]; avoid [Oct 12–15, we're traveling]. Do not submit any application or pay any application fee without asking me first — bookings for free tours are fine to hold, everything else needs my approval.
Why it works: School season is multi-threaded admin hell — every school has different tour times, deadlines, and checklists. Agents excel at converging N websites into one table.
The job: One user automated the unglamorous money chores with Muse: tracking credit-card expenses, managing health-savings-account receipts, hunting unclaimed card offers, and canceling or negotiating subscriptions.
Go through my Gmail for the last [12 months] and collect every HSA-eligible medical receipt. Objective: a spreadsheet with date, provider, amount, and receipt PDF attached, plus a total I can reimburse myself for. Then check my [Chase Sapphire + Amex Gold] for any unactivated offers or rewards I'm not using, and list the top [5] by dollar value with activation deadlines. Read-only on my accounts — do not activate, redeem, or move any money without asking me first.
Why it works: HSA receipts are the classic shoebox chore — save them for reimbursement, keep proof for audits. Credit-card offers need daily checking. Both are "organize + watch" work, the agent's comfort zone.
The job: A long-time tester credits Muse with saving real money on electricity through bill data analysis — plus finding tennis opportunities and helping his kids prepare for competitions. He calls it the first personal-life habit he's picked up in years.
Analyze my last [12 months] of electricity bills (in Gmail from [utility]). Objective: find the [3] biggest drivers of my bill and concrete ways to cut at least [15%] — e.g. time-of-use plan switch, specific appliances. Separately, find [tennis open-play sessions or ladders within 15 miles] at my level [3.0–3.5] on [weekday evenings]. Do not switch my utility plan or sign me up for anything without asking me first — analysis and recommendations only.
Why it works: Nobody reads their electricity bill line by line, but the usage curve hides real money. One setup, continuous payoff.