A random mix from the whole library. Shuffle for a new set.
In a #metapartner demo co-authored by someone, creator Parker Pannell delegated a day of tasks to his AI 'Fluffy', including buying a red-carpet outfit. Screen recordings show the AI purchasing a $150 suit after he provided his payment details, alongside subscription savings, an OpenTable booking and email drafts.
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.
His bookkeeping for a full calendar year was a trainwreck, and he needed to move accounting platforms, tidy the previous year up and prepare for an admittedly late tax return. Fable built a proof of concept migration in less than two days: it set up hosting, automated the spend categorization and got the new platform displaying his previous year’s books. When Opus 5.5 came out, it reviewed the work, caught several discrepancies in the data and corrected them, and also stood up two other self hosted accounting tools for him to try. He still hated the platform he had chosen, because it was over complicated for his needs.
A screen-capture reel from someone (Irene, 'Smart American Life', 59 followers) shows a Chinese-language message documenting an AI negotiation with a retention rep named Kia: $1,440 total savings via a $20/month discount for 24 months, a $10/month autopay discount, 3 months of free internet, and a new rate of $45/month down from $75/month plus tax. Presented as a US life-hack with itemized terms.
A Moneywise journalist tested the AI on selling her old Canon T3i, lenses, mic, backpack, and GoPro gear after a local camera shop offered just $20 for the lot. The AI found exact-match eBay sold comps ($220-$225), located a Foto Care cash-buy event in NYC, and wrote a negotiation brief with opening, target, and walk-away prices to counter lowball offers.
He built BinkBook, his own app that turns photos of poker tournament receipts into a dashboard, and says the AI now does the job better. He snaps a photo and the bot saves it to Google Drive, pulls out the casino, date, game type and buy-in, and logs it in a Google Sheet.
His agent correlates spending with invoices through an intermediary program, double-checks them and flags spending out of line with the family's usual behaviour.
Barron's reviewer Josh Schafer told his AI Josh Jr. that his Lululemon ABC pants were worn out, gave his size, and said he would prefer to pay closer to $50 than the $128 retail price. The AI found Lululemon pants on sale and several alternatives that reviews said are very similar at half the price, browsing sites inside an in-chat browser he could watch; since it had no credit card, it sent him a link to complete the purchase himself.
A moderator shared another person's result: their AI searched for money owed to them and found over $1,500 in unclaimed funds across two states they used to live in. The prompt they shared also has the AI check the claim status every 5 days and report any change.
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.
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.