A random mix from the whole library. Shuffle for a new set.
An AppleVis user had the AI file missing American Airlines mileage-shopping claims for two Best Buy purchases made during a tax holiday, pulling receipt data from Gmail. The user got the confirmation email that the claims were filed.
Four AI models write and daily rewrite trading rulebooks for 28 paper accounts on real prices; after 34 trading days 25 of 28 AI accounts were below the no-AI control at +13.0 percent.
Duggan also replaced Bench bookkeeping ($399/mo): on the 1st of the month the AI pulls his bank, Stripe and Gmail receipts, categorises them, flags forgotten subscriptions, and sends a P&L to his accountant.
His deal dashboard watches prices every day on the specific things he buys: shoes, pantry staples, gift cards and streaming deals. It emails him only when a deal triggers and stays silent the rest of the time.
Graham McDermott posts that he started using AI to understand his Verizon upgrade options, and it identified a bookkeeping error on his wireless account and had him change the autopay account routing. The fix saves him $24 per month with minimal effort.
The AI pursued a refund for a defective product by claiming on the extended warranty attached to the user's Amex card, rather than the retailer's return window.
She had pension paperwork scattered from 9 permanent jobs since 1990. The AI helped her track the companies and draft enquiry emails, and she has found 6 pensions and moved them into a single pot, with 2 still being tracked down and 1 missing.
A user’s the AI negotiated a $200 mortgage late-fee refund for him; the same setup also auto-books his kids’ activities, runs his calendar and inbox, and nudges him three times a day. The refund came from the bot arguing his case with the lender.
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.
A second daily run at 7am screens stocks with high relative volume among the day's percent gainers and flags each one red, amber or green for his trading. He reads the flags and makes his own calls.
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.