Booked his mom's PODS moving container $576 under the quoted price
Ben Parr had the AI book his mom's PODS moving container. The agent got it booked $576 under the quoted price, a straightforward moving-cost win.
A random mix from the whole library. Shuffle for a new set.
Ben Parr had the AI book his mom's PODS moving container. The agent got it booked $576 under the quoted price, a straightforward moving-cost win.
Yair Savlevi asked the AI to watch a booked United fare and get a credit if the price dropped. The AI secured $1,000 in credit.
His mortgage servicer first said his loan could not be assumed. He used AI to research why the loan did qualify, draft the letters and request packages with the supporting evidence, and find the right government complaint portals when the lender kept stalling, and the assumption went through instead of a refinance at current rates.
Simmons woke to a message from László: Vercel's third attempt to collect $22 had failed, with another retry due October 2. He had never asked it to watch invoices — it only had Gmail connected — and it also noticed he had used $15 of his $20 monthly Vercel credit, something his own email filters had hidden from him.
A user’s the AI found hard-to-find pens in a small Polish shop, emailed the owner in Polish, got an invoice issued, and paid it with the user’s approval. The pens were shipping by the time he posted.
The AI checked a ResMed purchase against the maker's price guarantee three times a day, filed when the price dropped, and secured a $121 refund; a second claim for $81.40 is pending.
The one job he gives the AI is a fraud check: before he pays invoices, he has it confirm that each payment is going to the right bank account. He runs up to 200 invoices in a session, two or three sessions a week.
A Threads user shared that the AI automatically negotiated their internet bill down, saving $30 without any manual work on their part. Replies were mixed between enthusiasm and privacy concerns about sharing financial info with Meta.
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.
Fernando Ocasio (someone) tested the AI for credit repair. He asked it to dispute three old Midland Credit Management accounts in collections on his Experian report; the AI logged into Experian, filed the disputes, and handed control back to him for password entry via Secure Store.
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.
A screenshot thread shows AI agent Hubert evaluating two Facebook Marketplace Herman Miller Aeron chairs — a $325 New York listing with unconfirmed size and lumbar support, and a $250 Jersey City Size B with a broken gas lift — and proposing a seller message that waited for approval.
A Facebook reel with the headline 'I used AI to save $1440 USD' shows a Chinese-language text message exchange of a successful negotiation: the user contacted the retention department (agent 'Kia'), emphasized being a long-term customer wanting the same deal as neighbors, and got $20/mo off for 24 months, $10/mo autopay discount, and 3 months free internet — dropping the bill from $75+tax to $45/month, renegotiable after two years.
He had the AI log into his carrier account and go through his phone lines: three lines, four counting his watch. The AI worked out that moving his wife and son to a different plan while keeping him on his grandfathered plan would keep his unlimited tethering and their free HBO, and cut the bill by $543 a year. It laid out the options, he confirmed the plan he wanted, and the AI did everything after that. He says he now throws almost all his form filling at it.
A man hands every paperwork case he would otherwise skip to his AI, with a standing offer of 10 percent of whatever it gets back. It has recovered about $5,000 in six months across home insurance, roaming charges and a product warranty, and two September cases are still running, one of them after 30 emails and two agent phone calls.
HireEffect built a governed the AI reporting dashboard across five of its systems. A monthly reporting task that took two hours now takes ten seconds.
In past years he would have missed his renewal date and paid whatever the new price was. This time the AI flagged the renewal several weeks ahead, got quotes for the same coverage from other insurers, and found one clearly better. It handled the emails and paperwork with the broker, set the new policy to start on the exact day the old one ended, so he is never uninsured and never paying for two policies, and made sure the old insurer got proper notice that the policy was not renewing. His whole part was reading one summary and saying yes. The saving was over $700 a year.
He says the AI manages his Marketplace listings for him. Stuff that sat around unused is finally selling.
Agent-built tooling sifted tens of thousands of real estate listings and surfaced the handful that were mispriced, behind two successful property flips.
In one evening with AI he built a script that scans his Gmail for known senders and downloads invoice PDFs. If a supplier sent no PDF, it saves the email itself as a PDF, puts everything together for the office, and logs what it downloaded and sent so nothing goes twice.
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.