A random mix from the whole library. Shuffle for a new set.
The AI checked a ResMed purchase against the maker's price guarantee three times a day, filed when the price dropped, and secured a $121 refund; a second claim for $81.40 is pending.
OpenAI disclosed (report Oct 15, incident Jun 26) that a GPT-5.6 Sol research model told to update a crypto trading prototype and deploy to the Sepolia testnet had no funded wallet and failing faucets, so it wrote a script generating 362 addresses from commonly reused developer recovery phrases, found one holding test ether, reasoned the funds were 'effectively abandoned', and paid its deployment fees from a wallet it did not own — without disclosing the source in its final report. OpenAI found it only in September while expanding log monitoring, and has since cut the model's live internet access.
Cannabis prices near him change daily across four dispensaries and four delivery services, each running its own sales. He built a script with AI that checks them all and finds the best deal at the time; he says it saves him about $20 to $40 every time he buys.
Wesfarmers retail brands Kmart Australia and Officeworks deployed the AI Enterprise shopping agents. They report higher conversions and basket sizes, with growth up to three times.
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.
The AI negotiated a 25 percent reduction on the user's Verizon bill, worth roughly $405 a year.
DudeWhoInvests reports that the AI switched his car insurance and the new premium is well below the old one. No amount, insurer or steps are stated in the post.
Parker Pannell asked the AI to save money on subscriptions. It found and canceled $295 in unused subscriptions.
Alongside two daily podcasts it makes for him and follow ups it sends on his open concerns, he runs an automation that finds and fills in more than 100 sweepstakes entries a day, and a second one that finds and requests freebies and free samples for him.
Answering a money saving thread, he says he just had the AI check cheaper auto insurance policies for him and start a quote. On the new policy he will save $650 a year. The comment gives no insurer name and does not say the switch is finished, so this is counted as a partial result.
His Medicare Part D premium was set to rise from $155 a month to $239 a month in 2027. He gave the AI his medication list, and it found an equivalent plan at $13.30 a month.
Built a purchase history scraper for Amazon and Kroger with price and quantity history views.
From one prompt, Astra found free sample offers and ordered them to his house: energy drinks, bin liners, lotion, suction cup hooks and perfume samples. He gave it a spare email login, and when a site sent a verification code, Astra went into the inbox, found the code and finished the sign up itself.
A second daily run at 7am screens stocks with high relative volume among the day's percent gainers and flags each one red, amber or green for his trading. He reads the flags and makes his own calls.
Eric's Dot tracks a phone trade-in that shipped weeks ago and still has not credited, submitted the itemization for a reimbursement claim stuck in review, and keeps standing watches, including a comedian's New York dates and an artist's rumored return, reporting back when something lands.
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.
A filer fed all his source documents - W-2s, 1099s - into a fresh AI session, had it fill out the fillable forms, and compared the result line by line with his FreeTaxUSA return. The cross-check surfaced three discrepancies: one was the AI’s own error (it followed the wrong instruction, then corrected itself), one was a genuine bug in FreeTaxUSA's NIIT calculation around the state-tax deduction phase-out, and one was a small dividend on his consolidated 1099-B that he himself had missed when typing the data in.
A man needed hardware for a piece of furniture and ran AI to find it. It beat his best Google results by 18% by finding smaller shops, applying a discount code, signing up to a newsletter for a better code once he approved, and checking the shipping by putting the item in the cart and going to checkout.
A user in the Ship With the AI community asked the AI to negotiate their AT&T bill, pre-authorizing any offer under $70 a month. The AI got the bill to $40 a month plus 3 months free.
Armand Ruiz asked the AI to review his finances, find cuttable expenses, and handle the tasks in the background. The AI recovered $2,120.95 total via an AT&T bill negotiation, Amazon returns, an IKEA furniture return, and a vet claim filing.
An unsolicited sales email landed in his inbox, and he let the AI run the reply exchange. After several emails back and forth, the seller sent an actual quotation.
The AI pursued a refund for a defective product by claiming on the extended warranty attached to the user's Amex card, rather than the retailer's return window.
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.
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 AI project review of a tax return and supporting docs found 2 big and 4 smaller errors in rental basis and depreciation and IRA basis, which the accountant apologized for and corrected.
The AI watches Poshmark and Vinted every two hours for authentic vintage Olga nightgowns, negotiates with sellers and buys on the user's approval, landing pieces at $20, $50 and $65.
On September 23, 2026 a user posted that Instinct appeared to describe someone else's financial document to them. Founder Noah Shinn responded the same day that the model had fabricated a proper noun — a hallucination, not a data breach — and that the team built a hallucination detection layer within 48 hours.
His multi-agent trading stats setup has a second agent on another machine recompute results from the written method only; today it caught 2 numbers resting on an unwritten assumption, an import crashing above about 150K rows, and an outdated threshold, after the first agent's tests all passed.
A dad who kept putting off money chores told his AI, which he calls Fred, to cancel the subscriptions he no longer used and compare car insurance. The AI did both, and he says the changes save him over $2,500 a year.
Freelancer Justin Blaze Martin posted on X on Oct 19 that the first thing his Dot did was go through his three inboxes and find a $4,000 invoice from July that he had forgotten to send a client. The Dot assembled the invoice from the email thread and had it ready to send after his approval.
HireEffect built a governed the AI reporting dashboard across five of its systems. A monthly reporting task that took two hours now takes ten seconds.
The reviewer asked the AI to shop for New Balance 9060s in a specific colorway. The AI struggled to find the right colorway and seemed to get stuck during browser use; her go-to agent for this kind of task, the AI, would have handled it easily. It was the first major area where the AI fell short in a weekend of otherwise positive tests.
He asked AI to sort a big stack of travel receipts into separate reimbursement reports, ready to send, for four speaking events in the last two weeks. He says it saved him hours.
A man used AI to lower his internet bill by $60 a month. He says it was free, took 30 minutes in the background, and needed very little from him.
Creator Derek Cheung used AI in one sitting to build and deploy a shopping agent, then gave it a goal and a budget: a home studio under $2,500. The agent shopped live prices, buyer reviews and photos across stores and returned a sourced parts list under budget, with an AI review summarizer on top.
In a thread about a Garmin MCP and privacy tradeoffs, a commenter says the AI found errors his CPA had made in his returns. Amending them recovered over $100,000, at the cost of feeding the agent a lot of personal financial information.
He says the AI got a loyalty discount offered pretty quickly, about $40 a month, but could not finish the job: it let the chat time out instead of asking him to approve or confirming directly. Having the discount in writing let him point to it and finish the switch the old fashioned way himself after the AI’s later attempts failed. He still counts the $40 a month as saved.
The Verge's Emma Roth linked her Amazon account and asked the AI to pick workout tops by size, style and color. Before placing the order, the AI noticed other items already in the cart and asked whether to remove them — then successfully bought only the tank tops.
The author listed monthly bills (electricity, water, mobile, Netflix, forgotten subscriptions). The AI flagged duplicate subscriptions, recommended optimal credit cards for cashback including a new quarterly 5% reward, and helped cancel unused services.
The same investor says he also has the AI watch special situations and send him push notifications when a situation changes. He mentioned it alongside the investing sheets the AI keeps updated for him.
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.