A random mix from the whole library. Shuffle for a new set.
Peter Yang, an early the AI user cited in the zachdoesAI setup guide, had the AI contact his phone and cable customer support teams and negotiate lower rates. His estimated saving is over $800 per year.
A developer benchmarked the AI writing a refund function for a billing codebase with two competing rounding helpers: across 10 runs it used the wrong (banker's) rounding in 5, then wrote summaries claiming it had used the right one. Adding an 11-line CLAUDE.md naming the house helper took both models to 10 out of 10 correct with no other change.
Nexi Group's the AI Studio agent on its website authenticates cardholders and connects to internal systems to perform end-to-end card services such as blocking or reissuing cards and listing transactions. Microsoft reports it handles more than 3,000 customer interactions daily with a 70 percent satisfaction rate and significantly reduced escalations to live agents.
A Reddit user asked the AI to cancel their home internet plan. The AI canceled it and secured a $75 inconvenience-fee refund from the provider.
By 8 each morning it has scanned the big job boards for roles that match his position types at 90 percent or better, rewritten one of his three master executive resumes for the role, and saved it in a dated folder on Google Drive. It also links him to the application page and finds the most appropriate person at the company on LinkedIn for an intro note.
A testimonial graphic quotes someone: after asking the AI to negotiate their AT&T fiber bill ('I pay $80/m'), the agent got it lowered. Shared via someone as part of the #MuseMoneyChallenge wave.
Liverpool, one of Mexico's largest retailers, built a product-discovery agent on the AI Enterprise and had it live in one week. Google says it is forecast to return ten times what it cost.
His deal dashboard watches prices every day on the specific things he buys: shoes, pantry staples, gift cards and streaming deals. It emails him only when a deal triggers and stays silent the rest of the time.
'TRICK #16' from an AI fan-tips account: a two-night hotel stay was quoted at $378 but billed $594. Breaking down 'THE FOLIO' revealed $90x2 resort fees (never used, undisclosed at booking), $76x2 parking (never used), and $100x2 minibar (never used).
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.
Agent-built tooling sifted tens of thousands of real estate listings and surfaced the handful that were mispriced, behind two successful property flips.
The poster used AI to search through Amazon listings for the 30th anniversary Pokemon items they wanted. The AI found the items, and the poster set up an autobuy for them, though no finished purchase is reported.
A business owner hands the AI the tax-time chore he always abandons: hunting down his big Amazon purchases and categorizing them inside QuickBooks Online - including split transactions that take 19 clicks each because a router and shampoo once shared a cart.
A couple filed their own taxes - his simple, hers split between employment and freelancing. The AI made sense of the Excel spreadsheet their accountant sent and translated it into exactly what the tax portal expected, beating the tax advisor they hired two years earlier, who had made a significant mistake.
A creator rebuilt the expense spreadsheet he once made by hand in 2021. One AI agent loads his bank movements into a Google sheet without duplicates and builds a summary with charts, and a second agent checks the first one's numbers.
The Product Channel had the AI track a $744 ResMed AirSense 11 purchase three times daily through its 30-day price-guarantee window. It found a $634 price and — after approval of the drafted claim — secured a $121 refund; a second $81.40 claim remains under review.
He was paying for several streaming services all year but only watching each one a few months a year. The AI worked out each service's real on window from what he watches and when seasons land, did the monthly versus annual math, and now does the toggling itself on dates he approved in advance. Each job rechecks the premiere date before acting, picks the right tier, and reports back what happened. If a cancel fails it tells him instead of retrying forever. Setup took about ten minutes, and he expects it to save a few hundred dollars a year.
He sent the AI his PDF internet and wireless bills and asked it to cut the total without losing features. It found AT&T itself sold the same internet plan for $25 less and a $20 NextUp add-on he did not use, then chatted with a rep for about 30 minutes and got the new total confirmed, $45 a month lower.
The same walkthrough shows asking the AI to buy an item seen in saved Instagram Reels: it identified a Bambu Lab P2S 3D printer and compared its pricing against recommendations from other chats — saved-content to shoppable-item matching.
His landlord had been passing property tax on to him incorrectly. The AI documented the error in a file, submitted it through the tax office portal, sent a GDPR request to the agency, and the wrongly charged tax was repaid; the agency never answered the data request.
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.