A random mix from the whole library. Shuffle for a new set.
A Reddit poster set up the AI to trigger on every order/shipped email in Gmail: it opens each product page, compares the current price with what he paid, checks the store's price-drop policy window, and drafts a refund request without sending it. He notes most checks find nothing, but the ones that hit are money he would have missed.
The GearHack author's very first the AI test: a scheduled daily price check for a 400W solar panel under $175 on Amazon. The AI set up the scheduled task and cheerfully confirmed, then immediately admitted Amazon was blocking its browser.
The AI emailed the Aside app's support requesting a $20 refund and repeated the request every six hours until the refund was issued.
OpenAI's launch post reports that an early tester's Dot noticed he had forgotten to invoice a publication, prepared the invoice itself, and sent it after his approval. No amount or publication is named.
He uses an AI plugin to monitor returns on his accelerator board orders. It messages him on Telegram when the return window is about to close or prices move.
Ulta Beauty built Ulta AI on the AI Enterprise to guide shoppers through more than 30,000 products, turning questions into personalized recommendations. Website conversion rates tripled.
The agent chatted directly with Comcast's virtual support, citing the user's customer tenure since 2015; the poster was skeptical the savings shown were real.
His scheduled the AI scan runs at noon daily over about 15 job sites plus any others it finds, matching UK product owner and knowledge management roles at £45,000 to £65,000 against his uploaded CVs. It drops anything posted more than 48 hours ago, anything hybrid sold as remote, and anything it has sent before, and it checks each link is still live, ideally on the company's own site.
A user runs an AI named Reaper against his credit card debt: the balance went from $8,400 to $7,912 by day six, with daily progress reports from the bot. The paydown is small, tracked and reported like a coach with a ledger.
He says he used AI to call SiriusXM and negotiate a better deal. It saved him $30 a month for 22 months. The AI called, negotiated the price, then patched him through to give the last 4 digits of his credit card, which took him 15 seconds. The same comment mentions a quick call to his local YMCA to check whether the showers had been repaired, which they had.
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.
Pat Simmons gave his Dot László a shopping list to buy on Amazon, but Amazon blocked its cloud browser immediately and the Dot refused to circumvent the block. Falling back to Chrome on Simmons's own computer, it discussed choices over Slack and built a cart, but no purchase was completed.
The AI created his first five eBay listings for him and helped track the shipments and payments afterwards. All five items sold.
He and his wife hold pensions, SIPPs, property, mortgages and ISAs across seven or more places. He built a planner that aggregates and prices all of it, projects future values, and sends push alerts with rebalance signals when goals are met. The monthly Excel update he used to do by hand is now a five minute browse.
He used AI to deal with a customer service agent about a cancellation fee he thought was unfair. The AI talked the agent into waiving the fee.
Feifei Qiu reports handing the AI her subscription and bill stack. The agent found an unused Verizon perk to shift one plan onto and cancelled three auto-renewing subscriptions, reporting about $720 in savings within an hour.
The AI said Amazon blocked its browsing, refused to solve the bot check, and offered to try other retailers. Amazon shopping was 'off the table' in her tests.
The creator had the AI go through his credit card statements, and it found a $720 GoDaddy charge that he had never noticed. The creator runs several small businesses and points to a full video about how he fired GoDaddy and now runs 8 websites for about $1 a month.
A man gave the AI strict tag research tasks and had it work through the whole ticker list again and again, searching and comparing XBRL tags in SEC filings. The pipeline now pulls 10-K and 10-Q filings for more than 600 companies, maps tags onto about 35 financial concepts, and produces cleaned data. Doing 3 tickers by hand had taken him about 3 weeks and still gave wrong data.
An AppleVis user had the AI file missing American Airlines mileage-shopping claims for two Best Buy purchases made during a tax holiday, pulling receipt data from Gmail. The user got the confirmation email that the claims were filed.
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.