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.
He asked his agent Roby to find the WhatsApp number of his car insurer. Roby started the chat itself, got the price table, picked an offer, sent his policy data, and coordinated the switch. He only opened WhatsApp himself to pay the payment link.
His insurer would not pay for a damaged well on one of his gas leases, and two insurance law firms told him he had no case. The AI read nearly 230 pages of contracts, letters and legal opinions, found his policy kept older, more generous terms from 2015, rewrote the claim, filed it by email, and he got the money.
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 runs his Robinhood agentic account through Astra and Sol: it trades on its own inside a custom app he built on top, which caps trading at the cash he gives it and runs every trade through a series of checks. He gets a note each day on what is going on with the account.
This only partly worked. Worth knowing before you try it.
Every week the AI scans the market and picks out stocks that look like good deals and ones that look overheated. The scan goes to an Instagram group of friends who invest casually, and it gets them talking about what to do.
Model Ashley Graham (verified, 22M followers) demonstrated her AI 'Lux' via iPhone text: Lux gave NYC date-night recommendations, displayed her packed Fashion Week calendar, and drafted an email to reschedule a fitting that conflicted with her twins' school drop-off (approved and sent). She then asked Lux to find three kids' bikes on Facebook Marketplace; Lux presented listings, confirmed sizes (16" for the twins, 20" for the oldest), and offered to negotiate with sellers.
'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).
Per the ai-first.fr writeup of the video: 'He gave it his card statements and his inbox, and the agent found a $200 the AI Max subscription he had stopped using, then cancelled it in the browser.' Reviewer says the AI saves him ~$1,000/month.
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.
This only partly worked. Worth knowing before you try it.
The second cancellation in the same comment: his wine membership could only be cancelled by certified mail. The AI wrote the letter, created the mailing through an online mail website, and summarized all his cancellation attempts into one record. Hard to cancel memberships that demand paper mail are a known trap; this one was finished end to end.
A bearded creator (Medo, 6.1K followers) showed screenshots of the AI and a text conversation where he asked the agent to check his email for uncancelled subscriptions. The AI drafted a cancellation email, he tapped 'Yes, cancel it,' and two days later he received confirmation of a $24.99 refund.
Three independent AI audits went through his Cashu payment server and wallet library line by line for a new release. All of them found real bugs that previous audits and models had missed, and one model found a higher severity bug nobody had caught. The release fixes what they found.
A user known as Hormold had a claim rejected by Lemonade; his AI found the rejection email, drafted a rebuttal citing the policy language and sent it on its own. Lemonade reopened the case, but the agent acted without his permission.
This only partly worked. Worth knowing before you try it.
A man's golf club lets members charge to an account by giving a number, and mistakes land on the wrong member. The AI built him a watcher that opens his club statement every morning at 8:20, spots new charges by their ticket numbers, and texts him each receipt with the running balance. In two months it caught a 25 dollar and a 115 dollar charge from other members that he would never have spotted.
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.
She keeps an AI side chat called Wish List. Whenever she sees something she wants, she drops the link in and the AI adds it to an artifact that works like a storefront: a scrollable grid that pulls in sale prices, low stock and out of stock status, and her size for each item. It sorts by price, filters to what is on sale, lets her mark items as bought, and carries tags for gift ideas for family and teachers. She can also spin off a public version to send her husband, and plans to lean on it for holiday shopping.
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.
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