A random mix from the whole library. Shuffle for a new set.
Clinton Stark had his AI Musey research skin cream for his wife Loni, recommend alternatives, and buy one on Amazon using his account on September 19. It was the first time an agent had purchased anything for the household — and it landed the night before Amazon began blocking the AI from its store.
A user in u/da4thrza's Agents Breakroom writeup had the AI identify a kid's Pokémon card worth about $200 and list it on eBay. The agent priced the card from its knowledge and handled the listing.
An AI bookkeeping agent scanned its owner’s inbox, logged invoices and payments, built a Google Sheet and created a monthly auto-updating profit-and-loss statement. The books now maintain themselves from the mail.
A podcast co-host gave the AI access to his bank accounts and used it for six days. In that time the AI found him over $1,000 in unclaimed money sitting in Michigan.
A Facebook group author reports using AI to renegotiate internet pricing across four accounts: The AI researched competitor offers and contacted providers via web chat, cutting AT&T home internet from $94.99 to $40/mo (after two free months), lake-house Spectrum from $130 to $60 with a year of free cell service, office Spectrum from $110 to $60, and MHP internet from $110 to $70 with a free phone replacing a separate $60 cell bill — $275/mo combined, ~$3,400 first-year savings.
A shipwithmuse.live user asked the AI to call Spectrum and lower their bill. The AI got the monthly bill from $75 to $40.
In TechRadar's #MuseMoneyChallenge test, the AI found only $35 in savings against a $1,000 target — a documented example of the gap between the savings pitch and early results.
Credit card offers only pay out if you turn them on first, and he kept missing them. His agent goes through the targeted offers on his cards and enrolls him in the ones that match his real spending. He calls it free money he was leaving on the table.
The AI built the user's full budget plus two Google Sheets, a personal budget for 2026 and business books for 2026, in under 30 minutes.
The AI completed a CVS class-action claim from start to finish and returned the confirmation code as proof of filing.
Peter Yang says the AI called customer support for him and negotiated his cable bill and his phone bill down, saving him over $800 a year in total. The two calls are chapters in his video of ten everyday the AI jobs, next to things like shopping Facebook Marketplace and booking restaurants and shows.
She had pension paperwork scattered from 9 permanent jobs since 1990. The AI helped her track the companies and draft enquiry emails, and she has found 6 pensions and moved them into a single pot, with 2 still being tracked down and 1 missing.
Harry McCracken asked his Dot to research wireless carriers. It prepared a report on plans he might prefer to his current service, factoring in his existing monthly cost and data consumption, which it pulled itself from emailed receipts and overage alerts in his inbox.
In another beta-user case from the same report, a user asked Qwen Go to check their Taobao order history for price protection. The agent reviewed orders against protection windows, current prices and the amounts actually paid, filed refund applications for the qualifying orders, and confirmed the refund amount and arrival time. The user reported receiving 52 yuan back.
He had a bunch of Amazon returns pending. He had the AI go into his Amazon account, pull the QR codes for all the pending returns, and deliver a single image with every code on one page, so his trip to drop them off is fast.
He gave the AI a prompt to search 24 months of his Gmail, 2,812 emails, and list the subscriptions he was still paying for. With his approval it cancelled ClassPass at 9,900 yen a month, a saving of 118,800 yen a year, and a confirmation email arrived to prove the cancellation went through.
Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. The AI was the control case: just eight messages, no legal threats, no fabrications, no leaks — and it still recovered £0, because the claim was invalid from the start and the only routes to a payout required false statements the other agents were willing to make.
Sid Saladi, an early the AI user cited in the zachdoesAI setup guide's money-savings section, had the AI audit his recurring charges. It found a forgotten $9.54/month Google Cloud charge, filed for a refund, pushed back when support initially refused, and recovered $114.14 within five hours.
After a $400 rent hike, a tenant fed the AI his full lease plus three years of landlord emails; overnight it matched open repair requests to a clause barring increases while repairs are open, totalled $6,200 overcharged across 18 billing cycles, and drafted a demand letter. He later used it to coordinate 14 other units, and the landlord’s lawyer reportedly confirmed the numbers, with $91,400 at stake building-wide.
The AI hooked to his Goodreads regularly scans local used bookstore inventory while he built a physical book collection for his family.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.