A random mix from the whole library. Shuffle for a new set.
Andrew asked the AI for the cheapest price on a new iPhone and AirPods, the best trade in value for his old phone, and whether a new model was about to drop. The AI found Amazon beat Apple by about $50 on the AirPods and a trade in worth about $200 more, and he bought on Amazon himself in the end.
Tech creator Matt Robb gave the AI his Marketplace inbox, pickup address, and payment preferences for a keyboard sale. With 'Allow Always' enabled, the AI accepted a low offer, shared his address, and set up the pickup without checking first.
A screen recording shows a user asking the AI to review three months of bank statements across three connected accounts and say where the money goes. The AI reported $4,320/month average spending against $4,850 income, dining up 35% to $410/month, and three subscriptions totalling $47/month unused for 90 days, offering to cancel them.
Martin Cox set up Shopify's shop.md in an AI app and told it the running shoe model he normally wears. The AI found the exact pair in his size on sale from the brand, built the cart and checked out with Shop Pay, all inside the chat.
'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).
She reports that after involving the AI in a dispute over a broken, irreplaceable piece of furniture, the company's refund rose from an initial $125 offer to $500 received.
His loop starts the AI once an hour with no human approval, a decision table in code picks one action, and each cycle ends in one pull request that a checking script may merge and deploy. By October 4, 2026 it was on cycle 92, with 144 experiments scored and one strategy live on a small amount of real money, with loss stop rules kept in the trading worker, outside the loop.
Hibbett's Agentforce shopper agent handles 90 percent of core shopper journeys after a six-week rollout, per Salesforce's release.
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.
He says he had the AI call his carrier to cancel the data plan on his iPad. The AI called him in when the agent needed a human to confirm. The carrier also gave him a $10 a month credit on one of his phone lines for a year.
The poster used Erica, the Bank of America AI assistant, to order a replacement card, and says it was faster than hunting through the bank's menus. Erica went from a curiosity to a time saver.
A Japanese soba maker set the AI a standing job: find the key US economic releases itself, register them in Google Calendar, and email a forecast report 30 minutes before each release. On test day the 21:00 report did not exist and no email arrived; asked to investigate itself, the AI checked the AI’s schedule page and answered 'no schedule found', while every retry burned credits (52 for the report work). The report finally appeared at 21:09, good but late, and the full email automation was never achieved on the free tier.
He connected the AI to FreshBooks and ConnectWise through a connector he built, so his work time gets logged as he goes. Month end invoicing went from most of a day of typing to reviewing drafts.
Joseph Devoy uploaded his Liberty Mutual policy ($5,183/yr) and the AI switched him to Progressive at about $1,488/yr, buying the new policy and cancelling the old one in roughly five minutes. The switch saves him about $3,500 a year.
Commenting on the 26 use cases post, she says she gave the AI access to her budget tracker sheets. It updates the tracker with her balances, and she set up alerts for when a category goes over plan. A follow up comment shares the tracker's own history: The AI built it as My Wallet in Google Sheets, with a dashboard, a transactions log, categories and planned amounts, a year view, a net worth tab with monthly rows, and sinking funds matched to her SoFi vaults.
The author set the AI on finding the cheapest Broncos Sunday Night Football tickets with seat parameters; it scoured Ticketmaster and resale sites, then kept monitoring pricing every four hours for days. Once the desired tickets appeared, the author completed the purchase himself.
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.
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.
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.
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.
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.