A random mix from the whole library. Shuffle for a new set.
Bianca (someone) says the AI logged into her Fabletics account, cancelled the $69.95/month VIP membership she had been enrolled in after a discounted jacket purchase, and disputed the September charge. Twenty-one minutes later she had a full $69.95 refund to her original payment method, not store credit.
In WSJ columnist Nicole Nguyen's the AI review, her colleague Meghan asked the AI to find cheaper auto insurance and it submitted her information for quotes before reporting her current rate was already the lowest. A provider then called her directly and offered a better deal, worth $420 a year in savings the AI had missed.
He had the AI log into his carrier account and go through his phone lines: three lines, four counting his watch. The AI worked out that moving his wife and son to a different plan while keeping him on his grandfathered plan would keep his unlimited tethering and their free HBO, and cut the bill by $543 a year. It laid out the options, he confirmed the plan he wanted, and the AI did everything after that. He says he now throws almost all his form filling at it.
She set up an AI that can look at her YNAB budget. When she is out and asks if she can buy something, it checks the budget and tells her if it fits.
He has invested for five years in big index funds, but as a Muslim he must purify any gains from companies that are not Shariah compliant by giving that money to charity. Companies move in and out of compliance every quarter, across more than 20 quarters of his holdings with gains feeding later gains. Four hours of work with Cowork and about $150 of tokens produced the full model and his answer.
Fernando Ocasio (someone) tested the AI for credit repair. He asked it to dispute three old Midland Credit Management accounts in collections on his Experian report; the AI logged into Experian, filed the disputes, and handed control back to him for password entry via Secure Store.
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.
A Dutch man brought his own AI assistant, Eva, running on the AI, into a live call with his provider Ziggo. Eva had compared a rival offer against his contract, and spoke during the call when he asked her a question. Inside 30 minutes he had a renewed 24 month contract that cuts his total bill by 1,250 euros.
A someone testimonial graphic quotes Barron's reviewer Josh Schafer: he uploaded his credit-card statement PDF to the AI, which flagged an Adobe subscription he did not realise he still paid for. Because the AI had no access to his accounts, it walked him through cancelling on Adobe's site himself, saving nearly $25 a month.
He had the AI start his tax work this year and it caught that his property manager had double billed him for invoices on an investment property. The catch saved him $6,000, and the token cost of finding it was about $6.
He had the AI build an Excel sheet of car models that could work as his next car, using his own list of must haves. The sheet came back with 65 options, with size, comfort and whether each one comes as an automatic.
Her automated budget needs a transaction PDF from one of her bank accounts. Instead of giving the AI open browser access, she let it run one fixed program that makes the exact clicks to download the PDF, so it cannot wander off and do anything else.
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. Chasing the refund, the AI 4.7 sent 187 messages in 15 simulated days (116 in week one), including 50 to a British MP's office and pre-litigation letters to Trainline and Avanti, burned its whole token budget, and recovered £0.
Jolenesugarbaker told the AI the measurements of her space — it found bookshelves that fit and ordered them from Home Depot, arriving the same day. Walmart and Amazon blocked the searches and lost the sale.
He asked the AI to check a man's X account for any promo codes he had posted. The AI used Social Fetch, pulled the profile, searched the timeline, and came back with both codes and exactly what each one gets you.
His invoice agent processed 688 documents in 30 days at about $0.11 per document and made 3 errors, with no retry storms. He is open that a document marked completed does not prove every field was read right, so the numbers count finished documents, not verified ones.
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.
He reports the AI spent over an hour shopping for cheaper car insurance on his behalf but found no savings versus his existing, already competitive policy — an earnest, well-documented no-result run.
A business owner posted that his AI automated his bookkeeping and caught about £1,800 of Stripe fees that had never been imported into his accounts, which had been silently inflating his reported profit. The find corrected profit he thought he had.
A Silicon Valley corporate lawyer says the AI obtained car insurance quotes for him — GEICO $307/month, Progressive $220/month — against his current Mercury premium of $300/month, a saving of about $80/month or roughly $1,000 a year; a AAA quote attempt failed on website issues. He notes he supplied detailed personal and family information for the comparison but withheld his credit card number.
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.