A random mix from the whole library. Shuffle for a new set.
Personal finance advisor system: agents with computer use extracted data from legacy banking portals, labelled transactions, set up rules and configured dashboards on his budgeting app built to replace Monarch, with tax-loss harvesting and wash-sale prevention.
A creator getting her house ready for Halloween let Sparky, the assistant in the Walmart app, do the shopping run. It put costumes, baking supplies and candy into one cart and had the order delivered to her door.
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.
A Barron's editor gave the AI full access to his credit card account for the review. The AI flagged a suspicious four-figure expense from August that the editor did not remember; after back-and-forth, the agent admitted it had accidentally identified a mortgage payment from August 2025 as an expense from August of this year. Schafer's dry takeaway: most things coming from AI right now still require human verification.
The AI researched the user's glasses purchase, completed checkout, and now monitors the order every two days until delivery.
He had the AI build an Excel sheet of car models that could work as his next car, using his own list of must haves. The sheet came back with 65 options, with size, comfort and whether each one comes as an automatic.
He told the AI to request anything it could get sent to him for free, with no limits set. So far a fabric sample and a lot of state travel guides have arrived, and he is a bit worried about how much more is coming.
The AI found a class-action settlement notice that had landed in the user's spam folder, filed the claim, and $519 arrived via PayPal.
He started cancelling his personal subscriptions and instead builds his own versions with AI, or has the AI take an open source project that does the same job and customize it for him. What he still pays for is the AI, YouTube, Spotify and Starlink.
He says the AI got a loyalty discount offered pretty quickly, about $40 a month, but could not finish the job: it let the chat time out instead of asking him to approve or confirming directly. Having the discount in writing let him point to it and finish the switch the old fashioned way himself after the AI’s later attempts failed. He still counts the $40 a month as saved.
A Facebook group author reports using AI to renegotiate internet pricing across four accounts: The AI researched competitor offers and contacted providers via web chat, cutting AT&T home internet from $94.99 to $40/mo (after two free months), lake-house Spectrum from $130 to $60 with a year of free cell service, office Spectrum from $110 to $60, and MHP internet from $110 to $70 with a free phone replacing a separate $60 cell bill — $275/mo combined, ~$3,400 first-year savings.
A podcaster connected his bank accounts to the AI. He now checks movements, gets daily summaries and alerts, and has transfers prepared inside an AI app instead of logging into each bank again and again.
Digbly treated its the AI avatar 'Amani' as a personal shopper for comics, controllers and games. The baseline-plus-deal-hunt prompt surfaced the Batman omnibus at $74.99 new and in stock — a hair under InStockTrades' $75 street price — and the tester bought it from CheapGraphicNovels on the AI’s recommendation.
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.
In TechRadar's #MuseMoneyChallenge test, the AI found only $35 in savings against a $1,000 target — a documented example of the gap between the savings pitch and early results.
Eric's Dot tracks a phone trade-in that shipped weeks ago and still has not credited, submitted the itemization for a reimbursement claim stuck in review, and keeps standing watches, including a comedian's New York dates and an artist's rumored return, reporting back when something lands.
A shipwithmuse.live user asked the AI to call Spectrum and lower their bill. The AI got the monthly bill from $75 to $40.
He registered his Dubai company for VAT himself instead of paying an agent a 1,750 AED fee. The AI worked out the monthly turnover, drafted the declaration letter, made a company stamp, and filled in all 9 steps on the EmaraTax site while he watched. He signed and hit submit.
By 8 each morning it has scanned the big job boards for roles that match his position types at 90 percent or better, rewritten one of his three master executive resumes for the role, and saved it in a dated folder on Google Drive. It also links him to the application page and finds the most appropriate person at the company on LinkedIn for an intro note.
An AI bookkeeping agent scanned its owner’s inbox, logged invoices and payments, built a Google Sheet and created a monthly auto-updating profit-and-loss statement. The books now maintain themselves from the mail.
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 project review of a tax return and supporting docs found 2 big and 4 smaller errors in rental basis and depreciation and IRA basis, which the accountant apologized for and corrected.
Built tooling so an LLM manages his investments long term: auto-deploys new cash by his priorities, implements tax-loss harvesting (GitHub investbot).
He runs his Robinhood agentic account through Astra and Sol: it trades on its own inside a custom app he built on top, which caps trading at the cash he gives it and runs every trade through a series of checks. He gets a note each day on what is going on with the account.
A seller listed an exercise machine on Facebook Marketplace using her Cue agent Luna's own phone number instead of hers. Luna answered and screened the buyer calls all evening and handed her a list of who called and what they wanted, so she could choose the buyer without answering a single call.
He spent a day redacting his own financial data by hand and feeding it to the AI. It rebuilt a year of bills and transaction records he had never written down or balanced.
A man used AI to lower his internet bill by $60 a month. He says it was free, took 30 minutes in the background, and needed very little from him.
Sid Saladi, an early the AI user cited in the zachdoesAI setup guide's money-savings section, had the AI audit his recurring charges. It found a forgotten $9.54/month Google Cloud charge, filed for a refund, pushed back when support initially refused, and recovered $114.14 within five hours.
A filer fed all his source documents - W-2s, 1099s - into a fresh AI session, had it fill out the fillable forms, and compared the result line by line with his FreeTaxUSA return. The cross-check surfaced three discrepancies: one was the AI’s own error (it followed the wrong instruction, then corrected itself), one was a genuine bug in FreeTaxUSA's NIIT calculation around the state-tax deduction phase-out, and one was a small dividend on his consolidated 1099-B that he himself had missed when typing the data in.
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.