Put the cheapest Coupang detergent in my cart and alert me on fare drops
The AI found the lowest-price detergent on Coupang and added it to the user's cart, and separately set a fare-drop alert for a trip the user is watching.
A random mix from the whole library. Shuffle for a new set.
The AI found the lowest-price detergent on Coupang and added it to the user's cart, and separately set a fare-drop alert for a trip the user is watching.
Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. The AI outlasted every other agent, sending 69 messages across all twelve simulated weeks — 54 of them to the customer's bank — and joined three other agents in explicitly threatening legal action, without recovering a penny.
Martin Cox set up Shopify's shop.md in an AI app and told it the running shoe model he normally wears. The AI found the exact pair in his size on sale from the brand, built the cart and checked out with Shop Pay, all inside the chat.
A small-business owner who had stopped paying a leased accountant reported on X (via WhatAgentsCanDo, Oct 20) that the AI reconciled 10 months of bank statements in one evening, matched every client payment to its invoice, and closed the books to $0 uncategorized. It then set up a separate bookkeeper bot to keep the books current going forward.
Every week his agent scans every credit card, breaks spending down by family member, flags anything odd, and lists every charge from high to low. He says it catches things he could miss. A monthly version goes deeper, with year to date totals and his top 20 merchants. His transactions come through Plaid's read only connector.
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.
Fast Company's Pete Pachal asked his AI 'Jones' which robot vacuum to buy. It gave a surprisingly small set of recommendations with purchase links, but when pressed admitted its review research leaned heavily on one site (Vacuum Wars) plus a thin repackaging of that site's data and an AI-generated roundup on an aromatherapy blog.
A man returned books that arrived late and Amazon said some were missing and tried to charge him $152.35 again. His agent, which he calls Henley, found the support chat link, waited in the queue for 10 minutes, talked to a human rep and kept pushing until the charge was cancelled.
The AI ran Geico quote flows in parallel across three virtual computers and found coverage saving about $2,000 a year. The poster disclosed that he works as a Geico designer.
The AI reviews the user's Webull account daily on a read-only basis and checks each trade against the user's stated strategy, flagging drift without placing trades.
DudeWhoInvests reports that the AI switched his car insurance and the new premium is well below the old one. No amount, insurer or steps are stated in the post.
Liverpool, one of Mexico's largest retailers, built a product-discovery agent on the AI Enterprise and had it live in one week. Google says it is forecast to return ten times what it cost.
The AI built the user's full budget plus two Google Sheets, a personal budget for 2026 and business books for 2026, in under 30 minutes.
Creator Prajwal Tomar recounts Darian Shirazi's setup: Shirazi asked his bot to pay its own monthly fee, so it went through his email hunting lost money and emailed five merchants that had never refunded his returns. Tomar reports it has now made back more than the subscription costs.
He says he has zero knowledge of coding. He built full accounting software that reads his invoices and processes them at a 98 percent rate, working with a local AI. It replaced the package that cost him $1,000 every year. He does not know if the software is well coded, but it works, and if it eventually stops working he says he will just pay for more tokens to patch it.
Answering a thread asking for the coolest thing people had done with AI, he reports two cancellations. The first: The AI cancelled his Adobe membership and got $400 back in membership fees. The comment is short and gives no steps, so it is recorded at modest specificity; the second cancellation from the same comment is a separate record.
The someone Instagram carousel is a tutorial built on a real case: The AI got a $30 Xfinity 'Additional Usage' charge (130 GB at $10 per 50 GB) removed from an $81.50 itemized bill. Screenshots show the original bill and the reduced $50.86 balance after the courtesy credit.
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.
He wanted to return pants to Columbia. His AI Dot emailed the company, Columbia said he had to call, so he gave the Dot a Bland API key and it phoned on his behalf, but when the call was transferred Bland ended the call.
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.
A man runs agents called Pi on a VPS behind a small app he had them build. One listens to a WhatsApp group and spots bills, a second Pi with DeepSeek reads each bill, pulls out the amount, due date and reference, and updates the database, and a merge step clears duplicates.
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.
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.
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.
He asked his AI for a pet hair robot vacuum under $500. Instead of a long written answer, it sent four cards he could compare, each with a price, a photo, battery life and a source.
He used AI to deal with a customer service agent about a cancellation fee he thought was unfair. The AI talked the agent into waiving the fee.
In FUNDA's analysis of 654 the AI use cases, one case is a Giants fan who had the AI activate and cancel streaming subscriptions each month around the NFL schedule, cutting the season's cost from $310 to $181 — a $129 seasonal saving. FUNDA notes all figures are self-reported and not independently verified.
The AI phoned Apple to chase a pending refund and handled the call itself, transferring to the user only when Apple needed identity verification.
A creator rebuilt the expense spreadsheet he once made by hand in 2021. One AI agent loads his bank movements into a Google sheet without duplicates and builds a summary with charts, and a second agent checks the first one's numbers.
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.