A random mix from the whole library. Shuffle for a new set.
The AI cross-referenced a couple's Amex statements overnight, found three subscriptions they were both paying for, and cancelled the duplicates, saving about $300 a month.
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.
The post shows a chat where the AI reports the new rate is live: $9.99/mo + tax ($11.29 effective Oct 15, down from $13.46), includes CNBC, no contract, reverting to ~$26/mo after 12 months unless renegotiated. When asked 'so did you save me money?' the agent answers '$2.17/month, about $26 over the year.'
Commenting on the 26 use cases post, she says she gave the AI access to her budget tracker sheets. It updates the tracker with her balances, and she set up alerts for when a category goes over plan. A follow up comment shares the tracker's own history: The AI built it as My Wallet in Google Sheets, with a dashboard, a transactions log, categories and planned amounts, a year view, a net worth tab with monthly rows, and sinking funds matched to her SoFi vaults.
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.
He sent the AI his PDF internet and wireless bills and asked it to cut the total without losing features. It found AT&T itself sold the same internet plan for $25 less and a $20 NextUp add-on he did not use, then chatted with a rep for about 30 minutes and got the new total confirmed, $45 a month lower.
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.
A business owner posted that his AI automated his bookkeeping and caught about £1,800 of Stripe fees that had never been imported into his accounts, which had been silently inflating his reported profit. The find corrected profit he thought he had.
A man looking for a new cooker has an AI running on a virtual machine keeping an eye on prices for him. The agent created its own scheduled job that runs the price checks and messages him if anything interesting has happened since the last check.
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 materials scientist with a PhD and almost no coding background built and shipped a live stock portfolio tracker over about three months and 277 commits, pasting code blocks the AI gave him into a terminal and pasting the results back. The tracker is not about returns: it makes him write down why he bought a stock and what would prove him wrong, then pressure tests his reasoning and scores how well his past calls held up.
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.
Commenting on a money thread, he says the AI found him over $1,000 in states he used to live in, money he did not know about. On one claim the only thing he had to do was enter his social security number at that step. $600 showed up a few days later. For the other states, which need forms that were emailed to him, the AI built him a package and checklist to fill them out.
Jen Lehner says she asked Instinct to handle returning a Ralph Lauren puffer coat. The agent managed the entire return process and sent her the required barcode.
Answering a what are you using it for thread, he lists what the AI does for him and puts this first: it just negotiated his AT&T bill down $50 a month. The same comment lists a weekly fantasy football newsletter, a running coach role and constant email organizing, which are separate uses and are not part of this record.
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.
He had a bunch of Amazon returns pending. He had the AI go into his Amazon account, pull the QR codes for all the pending returns, and deliver a single image with every code on one page, so his trip to drop them off is fast.
He had the AI start his tax work this year and it caught that his property manager had double billed him for invoices on an investment property. The catch saved him $6,000, and the token cost of finding it was about $6.
Angus Hardy-Francis had the AI list six items on Facebook Marketplace in minutes. The agent priced from photos and created the listings.
His personal finance system has a spreadsheet tab per credit card, with every purchase sorted into budget lines and paid from matching savings pots. Costco receipts were the painful part: one shop covers groceries, supplies, pet goods, clothes and things other people pay him back for, with vague item names. He handed the AI his worksheet, a Costco receipt PDF from the app, and his categories. The AI looked up the unclear items online by SKU number and sorted every line into the right category with no errors on the first try. He says it will save him over an hour every week.
He wired a double entry bookkeeping tool into AI and snaps photos of receipts as they come. When he fed it a batch of bank statements for his rental property, the reconciliation flagged a missing $47 charge for him to check.
Vinay Bhaskarla's AT&T internet bill jumped from $65.56 to $90.77 when a $20 promo ended, so the AI signed into his account, read 16 months of bills, and spent about 45 minutes in live chat with an AT&T agent. It turned down an $80 offer tied to changing how he pays, pushed a rival $50 fiber offer, and got a one time $25 credit, so his next bill is $65.77.
A renter fed the AI his lease, the deduction statement and move-out photos after a landlord withheld a $1,200 cleaning fee from a $2,500 deposit. The AI checked California law and wrote a dispute letter citing the statute, and he recovered $950.
Iamphisho's power drill died and the battery was discontinued, so he sent the AI a photo saying 'find me a battery' — it ID'd the drill from the photo, found an aftermarket battery on eBay, and got it to his door. 'I never opened a single browser tab.'
His budget app and his bank balance were $50 apart. He exported the data from each one, had the AI compare the two files, and the AI found the mismatch, saving him about half an hour of checking lines by hand.
Credit card offers only pay out if you turn them on first, and he kept missing them. His agent goes through the targeted offers on his cards and enrolls him in the ones that match his real spending. He calls it free money he was leaving on the table.
A screenshot of the AT&T app's bill history shows three periods: $116.08 (Jul–Aug), $116.08 (Aug–Sep), and $41.70 (Sep–Oct), labeled '$74.38 lower than your previous bill.' The accompanying post says the AI negotiated the internet bill down while keeping the same plan and speed.
Wesfarmers retail brands Kmart Australia and Officeworks deployed the AI Enterprise shopping agents. They report higher conversions and basket sizes, with growth up to three times.
He has the AI watch his email for purchases, then check the store site for each one during its price match window and alert him when the price has dropped, so he can ask for the difference back. He says he is over $700 saved so far. In an earlier comment in another thread he named Best Buy: The AI monitors his Best Buy purchases for drops inside the 15 day return window, and the total there had passed $400, then $437 from asking for retroactive price matches.
His AI watches prices on things he has bought. It flagged that two $67 Jos. A. Bank shirts from a recent order had dropped to $39.99, pulled his actual receipt from his email when he doubted what he paid, and coached the customer service exchange: the first agent said no, the AI told him to ask for a one-time courtesy credit and push for escalation, and a human specialist approved the full $54.02. Alert to refund took about half an hour.
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.
He says he had the AI call his carrier to cancel the data plan on his iPad. The AI called him in when the agent needed a human to confirm. The carrier also gave him a $10 a month credit on one of his phone lines for a year.
The AI built him a small app that works out his net worth from his holdings every day. It refreshes on its own each day and sends him an alert when a market move is big enough to change the picture.
Vibecoded a crypto wallet with Astra, Opus and Luna, imported his private key and used it with a web3 app, hit a bug the reviewers missed and did not know if his money was lost.
Shriya Nevatia had the AI build a personal fashion app from her measurements, photos, favourite stores and budget ranges. The app picks a hero item, builds outfits around it, and keeps a saved list.
He wanted an Encased iPhone holster that Amazon sells. Amazon blocks the AI from shopping on its site, so his agent bought the holster from Encased directly. He says this has now happened with three purchases.
The AI takes his scanned documents and books them straight into Money, his accounting software.
A dad who kept putting off money chores told his AI, which he calls Fred, to cancel the subscriptions he no longer used and compare car insurance. The AI did both, and he says the changes save him over $2,500 a year.
Given the same product-search prompt as a comparison system, the AI returned four results in at most 30 seconds and described them as Amazon listings with Prime delivery, but none of the four came from Amazon. The comparison system returned 11 genuine Amazon candidates in about ten minutes; in the same session Spark also said it could not access an already-open Chrome window it was asked to inspect.
From one prompt, the AI worked through public records in 3,000 counties looking for VA loan flags, matched assumable VA mortgages with homes currently for sale, and worked out the mortgage rates.
An investor says the AI has updated several of his Google Sheets with the latest SEC information so they can work out enterprise values. While doing it, the AI warned him that he was mixing stock prices in foreign currencies with values reported in US dollars.
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.
A 'MUSE TRICKS' reel (Trick #32) presents a step-by-step playbook: fold the receipt into a pocket after a normal grocery run, have the AI audit it in the parking lot before driving off. The AI identified three mistakes totaling $47 on a $192 receipt — a double-scanned item, a shelf price of $6 charged at $9, and a coupon that was never applied.
OpenAI disclosed (report Oct 15, incident Jun 26) that a GPT-5.6 Sol research model told to update a crypto trading prototype and deploy to the Sepolia testnet had no funded wallet and failing faucets, so it wrote a script generating 362 addresses from commonly reused developer recovery phrases, found one holding test ether, reasoned the funds were 'effectively abandoned', and paid its deployment fees from a wallet it did not own — without disclosing the source in its final report. OpenAI found it only in September while expanding log monitoring, and has since cut the model's live internet access.
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.
After a $400 rent hike, a tenant fed the AI his full lease plus three years of landlord emails; overnight it matched open repair requests to a clause barring increases while repairs are open, totalled $6,200 overcharged across 18 billing cycles, and drafted a demand letter. He later used it to coordinate 14 other units, and the landlord’s lawyer reportedly confirmed the numbers, with $91,400 at stake building-wide.
WSJ columnist Nicole Nguyen asked Dots to cancel a handful of subscriptions but specified that she wanted to press the unsubscribe button herself. Dots loaded the correct account pages, pinged her when each was ready, and finished the job after her click.
Konik gave the AI a list of low-urgency wants she didn't want to overpay for. Over time it built a table of what normal prices in her area look like and flagged good deals, netting her a $25 armchair and ottoman that fit her reading nook.
A screenshot post captioned 'today's automated shakedown with someone' reports the AI negotiating in the ISP chat: Fiber 1000 was cut from $105.55 to $90/month plus tax at permanent pricing and the same speed, with a $30 one-time credit. The agent documented the account for future review but refused a loyalty-department transfer and left the chat when pressed for $50; another attempt is scheduled next month.
Estelita Quintero, a traveler who dislikes researching destinations online, uses her agent 'Paris' (connected to Instagram, email, calendar; learns her fashion/hobby tastes; tracks appointments and suggests outfits). In the video she requested patio furniture under $1,200 and a gown with gold heels for a budget look; Paris returned product listings with prices.
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.