A random mix from the whole library. Shuffle for a new set.
A value investor had the AI recreate the spreadsheet he built by hand last year covering every warrant on the NYSE and Nasdaq. The AI looked up strike prices and redemption prices, wrote short company descriptions, and added Google Finance formulas for live prices. It took about 30 minutes of the AI time and 10 minutes of his.
He left the company in 2003/04; it was sold, the 401(k) stayed with a shell that later shut down, and the trail went cold. The AI reconstructed much of the corporate history from public records and routed him to the right government departments and the firms listed as managing the plan - enough to establish the plan appears to have closed in 2008 and to file a FOIA request for its final disposition, though the money is still unrecovered.
Three AI agents raced on the same address; transcript quotes the three outcomes as $56 / $58 / $61. The AI secured $56, the lowest of the three.
His stock trading agent, given SSH access to a VM, moved itself to run on the server so he no longer has to keep his laptop open.
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 withdrew from a university program inside the refund deadline but was still charged about $7,000, and months of his own emails went nowhere while the school kept adding charges and warning about collections. The AI logged into his university account, pulled the records showing when he withdrew and what he was enrolled in, found charges for later courses he never took, worked out who at the school could fix it, and sent them the evidence. The balance was removed.
Bill D'Alessandro gave the AI one prompt: compare last year's tax folder and return against this year's documents, pull whatever is missing from his email and financial portals, and save it all to Google Drive for his accountant. It got about 90% of the way there.
He spent a day redacting his own financial data by hand and feeding it to the AI. It rebuilt a year of bills and transaction records he had never written down or balanced.
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.
He had spent five months trying to get a refund from a Chinese peptide website, and his own reports to the seller never went through. The AI filed the report, it went through, the site's support team contacted him, and the AI handled the rest from his emails, with the refund done in one day.
Konik gave the AI a list of low-urgency wants she didn't want to overpay for. Over time it built a table of what normal prices in her area look like and flagged good deals, netting her a $25 armchair and ottoman that fit her reading nook.
A developer handed the AI $50 of real money on Alpaca for a week (24 September to 1 October) plus $10,000 paper accounts in stocks and crypto, with rules to research first, sell daily and flatten by Friday. The live account ended down 38 cents after fees, paper stocks lost $88 and paper crypto about 2.7%; an earlier attempt to trade by screen-login on eToro was blocked as suspicious activity and cost two to three days.
A man talked with AI for an hour about tax loss harvesting, then used Scalable Capital's MCP access to close a position in his own account. He never left the terminal.
The AI’s Comet browser shopped Amazon inside users' own signed-in Prime accounts — loading pages, comparing products, filling carts and completing purchases at the user's direction — until Amazon sued, arguing the access was the user's permission but not Amazon's authorization. A district court enjoined Comet in March 2026; on August 4, 2026 the Ninth Circuit vacated the injunction, holding the agent is a tool and the user is the one buying, while leaving terms-of-service claims live.
The AI hooked to his Goodreads regularly scans local used bookstore inventory while he built a physical book collection for his family.
Parker Pannell asked the AI to save money on subscriptions. It found and canceled $295 in unused subscriptions.
Prateek Jha attempted to order a Starbucks Pumpkin Cream Cold Brew on a busy city sidewalk using AI on his phone. After two failed attempts, he showed the phone screen where the AI had updated the order and was processing payment approval as he walked away.
The AI ran Geico quote flows in parallel across three virtual computers and found coverage saving about $2,000 a year. The poster disclosed that he works as a Geico designer.
He had the AI do bookkeeping for his taxes, checking invoices from the past 6 months. A job that used to take him 5 hours took 1 hour, though he still had to check the results himself.
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.