Building with Muse: 10 real Muse workflows from Peter Yang
Creator Peter Yang put Muse to work on 10 real errands, from negotiating his phone and cable bills by phone to tracking a phone-free bedroom goal. Here's each workflow and what stood out.
Creator Peter Yang spent years in product roles at Meta, Reddit, and Roblox. Now he writes the Creator Economy newsletter and publishes practical AI walkthroughs. His latest video is a 17-minute tour of 10 ways he uses Meta’s Muse day to day, and the headline number is that he says it saved him over $800 a year on his bills. Here is each workflow, in his words.
1. Negotiating the AT&T phone bill
Yang started a “finances” thread and had Muse log into his AT&T account through its built-in browser. He stored his username and password in Muse’s secure store, and Muse found that switching his billing from a credit card to a bank account would save $10 per line per month. Across his lines, that came to $40 a month off a $200 bill.
When it came time to enter the bank account and routing numbers on AT&T’s site, Muse declined to do it for privacy reasons and Yang typed them in himself. The discount went live, and he says the whole thing took five to ten minutes of conversation for $480 a year in savings.
2. Calling Comcast to negotiate the cable bill
The cable negotiation went further: Muse placed an actual phone call to Xfinity customer support. Yang picked a voice for the call, gave his name and number, and Muse called while he ate breakfast. On the call it introduced itself plainly: “Hey, this is Haley calling on Peter’s behalf.” It did not pretend to be him.
The call surfaced a $60-per-month promotional rate plus another $10 off for autopay, down from $84. One honest wrinkle: the Xfinity agent wanted Yang himself to call back to finalize the discount, so Muse did the research legwork rather than closing the deal. Yang calls the phone calling the killer feature and says every other AI system will copy it.
3. Shopping Tesla insurance
The finances thread did not stop at phone and cable. Yang has Muse gathering quotes to renegotiate his Tesla insurance, pulling in Geico, Progressive, and State Farm. It is still in progress in the video, but the pattern is the same: describe the bill, let the agent do the comparison shopping.
4. Setting it up: avatar and connected apps
Before any of the errands, Yang personalized the app. He had Muse generate a red panda avatar (four options, then four cuter ones) with animations for waving and typing. More importantly, he connected his apps. Beyond email and calendar, he points to native connections to Meta’s own apps (Instagram, Threads, Facebook, and Messenger) as the differentiator.
He also notes a limit: Muse could not connect to Linear, and he is fine with that. He reads it as focus. Normal users do not want to deal with API keys, so an agent built around everyday personal apps suits the job.
5. Watching his messages for anything urgent
With the apps connected, Yang set up a scheduled task: every day, Muse checks his unread messages across Messenger, WhatsApp, and iMessage and flags anything that needs a follow-up. In the demo, his Instagram and Threads DMs turned out to be all spam, which is itself the point. One daily scan replaces checking four apps.
6. Buying and selling on Facebook Marketplace
Because Muse is connected to Facebook and Messenger, it works as a Marketplace assistant. Yang had it search for single golf clubs near him and got three listings he could open. Going the other direction, listing his old iPhone 13 Pro meant answering Muse’s questions about photos and price while it built the listing. And through Messenger, it can message sellers about availability and negotiate the price, confirming with Yang before it sends anything.
7. A personalized morning feed
Yang barely uses Facebook’s own feed anymore. He describes it as ads and AI slop, and instead starts the day with a feed he built inside Muse. He asked for important AI news on the topics he follows, and every morning he skims updates from the major labs, opening anything interesting in the browser. The feed is customizable, so he added personal material like his newsletter. His aside: there are no ads in it yet, and he assumes that changes if Muse gets big enough.
8. Breaking the phone-in-bedroom habit
In the Goals tab, Yang built a system around his worst habit: bringing his phone to bed and doomscrolling at 5 a.m. Muse interviewed him about the trigger (scrolling), the replacement (reading books), and his bedtime (10 to 10:30), then made a plan with a visible artifact. Every night near bedtime it reminds him to leave the phone out of the bedroom; every morning it checks whether he did, tracking the streak on a chart.
His record so far: zero for two. He left that in the video, which makes the segment more convincing than a success story would. The same Goals tab also auto-builds a to-do list from his conversations: negotiating the cable bill, booking a Japan flight, making the Muse video itself.
9. Researching a purchase with Ideas
Yang asked Muse for a side-by-side comparison of electric razors. Five minutes later he had a browsed list of Best Buy product pages with a Panasonic recommendation. His critique is specific and useful: he wished it had checked review sites like Wirecutter instead of only retailer pages. The interesting part is the Ideas tab itself, which proactively suggests things based on his usage: calorie tracking from a meal photo, inbox triage, even reporting a pothole to the city.
10. Booking restaurants and shows
For a night out, Yang had Muse look up Bay Area concerts, then narrow it to a highly reviewed show at the Magic Theater on September 30, his anniversary, plus a nice dinner spot nearby. Booking two general admission tickets is one more instruction, executed through the browser. He also runs a recurring “weekend scout” that surfaces local events, which is how he found out about a comedy day in Golden Gate Park.
The stack it fits into
Yang closes by placing Muse in his lineup: ChatGPT for everyday work, Grok for cloud tasks that run without his computer on, and Muse for everything personal. He says Muse was a top-three App Store app within a week of launch, and he is blunt about why he is bullish: Meta can promote it across Facebook, Instagram, and WhatsApp the way it once pushed Stories and Threads.
The practical takeaway is small. Pick one postponed errand, connect whatever app it needs inside Muse, and describe the outcome. The bill calls are the highest-value first try. The message check is the easiest.
Watch the full walkthrough: Meta’s Muse AI Agent Saved Me $800+ a Year on My Bills (10 Real Use Cases)