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.
In a thread about a Garmin MCP and privacy tradeoffs, a commenter says the AI found errors his CPA had made in his returns. Amending them recovered over $100,000, at the cost of feeding the agent a lot of personal financial information.
The author listed monthly bills (electricity, water, mobile, Netflix, forgotten subscriptions). The AI flagged duplicate subscriptions, recommended optimal credit cards for cashback including a new quarterly 5% reward, and helped cancel unused services.
Peter Yang says the AI called customer support for him and negotiated his cable bill and his phone bill down, saving him over $800 a year in total. The two calls are chapters in his video of ten everyday the AI jobs, next to things like shopping Facebook Marketplace and booking restaurants and shows.
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.
The Product Channel had the AI track a $744 ResMed AirSense 11 purchase three times daily through its 30-day price-guarantee window. It found a $634 price and — after approval of the drafted claim — secured a $121 refund; a second $81.40 claim remains under review.
Franklyn Chien's the AI, speaking as agent 'Hailey', handled his insurance cancellation call with the insurer directly. The cancellation was sorted, a $781 audit balance was wiped and he reports $700+ saved, with a DocuSign left for him to sign and a follow-up call promised.
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.
Harry McCracken asked his Dot to research wireless carriers. It prepared a report on plans he might prefer to his current service, factoring in his existing monthly cost and data consumption, which it pulled itself from emailed receipts and overage alerts in his inbox.
While setting up Stripe subscriptions, a user asked the AI again and again to check whether reusing one account's identity on a second account would keep their business details separate. The AI said yes with confidence and never checked. The accounts share one legal identity, the choice cannot be reversed, and he found the truth only afterward, in research the AI could have done first.
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Another user describes the AI’s phone work. It called AT&T and argued for a discount because his service is poor where he lives, staying on the phone with real people across multiple transfers and departments for 98 minutes, and got the discount. The amount is not stated. His other two cases from the same comment are recorded separately where they stand on their own.
The reviewer asks the AI to search his Amazon order history together with product descriptions to identify which charger he previously bought that has both AC outlets and retractable cables.
In 'A Month with AI', the MBI Deep Dives author writes that the AI filled out forms with five auto insurance carriers from his details and showed him quotes; switching at the same coverage saved $1,530 per year. He then set the AI to repeat the shop every five months, ahead of each six-month renewal, indefinitely.
Alongside a media tracker site he built for himself, he has it check in daily: local news alerts, and deal scans on the products he buys regularly, using price ranges he gave it, with a buy now alert when a price drops into range.
One itemized line in Armand Ruiz's September 15 errands post credits the AI with recovering $836 of his unclaimed property during a background finance sweep. The sweep's $2,120.95 total is already recorded from press coverage; this record isolates the unclaimed-property component that coverage did not itemize.
Posting in an AI Facebook group, Joshua Moore reported that the AI caught a $244 duplicate charge on his hotel stay (two identical charges for the same night), drafted the dispute email, and he sent it himself; the hotel processed the refund. His words: "$244 back in my pocket."
After dry-running a personal-assistant the AI through August, its owner let it pay a real $3,731 bill that arrived by email; routines now watch his Gmail for invoices three times a day. The first live payment went through under the watch setup he had tested for a month.
A renter hit with an Enterprise damage claim had the AI dissect the claim and draft a dispute email built entirely on its evidence gaps - photos with no timestamps and no walkthrough record showing damage. Enterprise replied the next day saying the claim was closed.