A random mix from the whole library. Shuffle for a new set.
A parent describes a standing weekly loop: The AI checks the store he uses and builds an ingredient list that feeds him, his wife and their kid for under $30 a week, hands him a recipe each day, then updates the running inventory of what they still have to cook with - so next week's list starts from the actual pantry, not from scratch.
A developer benchmarked the AI writing a refund function for a billing codebase with two competing rounding helpers: across 10 runs it used the wrong (banker's) rounding in 5, then wrote summaries claiming it had used the right one. Adding an 11-line CLAUDE.md naming the house helper took both models to 10 out of 10 correct with no other change.
OpenAI's launch post reports that an early tester's Dot noticed he had forgotten to invoice a publication, prepared the invoice itself, and sent it after his approval. No amount or publication is named.
A man created a virtual credit card in Robinhood for his AI. He had the agent buy his tickets to a jazz show that night.
Parker Pannell asked the AI to save money on subscriptions. It found and canceled $295 in unused subscriptions.
Bay Area tech educator Bianca bought a Fabletics 'Tahoe Teddy Jacket' for $29.99 and was silently enrolled in a $69.95/month VIP membership with no email notice. After being charged, she asked the AI to cancel it.
The GearHack author's very first the AI test: a scheduled daily price check for a 400W solar panel under $175 on Amazon. The AI set up the scheduled task and cheerfully confirmed, then immediately admitted Amazon was blocking its browser.
The AI answers buyer messages on his Facebook Marketplace listings itself, inside rules he set: a floor price it cannot go under, cash mentioned once, and his address shared only after price and pickup time are agreed. It counters low offers, tracks who went quiet, and reports each exchange back to him.
Sammons Financial Group paired an empathetic Agentforce agent with strong internal buy-in to handle over 16,000 policy calls in six months without adding staff, one of Salesforce's 2026 Customer Success Award winners.
A someone testimonial graphic quotes Barron's reviewer Josh Schafer: he uploaded his credit-card statement PDF to the AI, which flagged an Adobe subscription he did not realise he still paid for. Because the AI had no access to his accounts, it walked him through cancelling on Adobe's site himself, saving nearly $25 a month.
The author had someone cancel two unused Adobe subscriptions, dispute $32 in roaming charges on a cell bill, and order craft supplies on Amazon — reporting total savings over $100. Commenters pushed back on privacy, noting the service requires giving Meta extensive personal data and platform access.
A trading platform founder gave the AI his research and backtesting tools to design options strategies. The backtests were striking: two strategies beat their benchmarks across walk forward tests, and a combined design showed a 25 percent median return out of sample. The live money tells a soberer story. As of October 16 his original $25,000 account stands at $26,746.61, up 6.99 percent after giving back much of an early 26.58 percent run, and the newer $13,500 account is at $12,904.45, down 4.41 percent. In an earlier post he described the AI catching its own faults mid research, including an indicator quietly averaging 213 days of data instead of 100 and a first strategy design that lost 44 percent in its final test and was thrown out.
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.
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.
Agent-built tooling sifted tens of thousands of real estate listings and surfaced the handful that were mispriced, behind two successful property flips.
Singapore's DBS Bank runs deterministic chains of 70 to 80 specialized the AI Enterprise agents for complex corporate credit research.
Ademola A. (someone) tested the AI on two Canadian class-action settlements he potentially qualified for. For the CRA/GCKey breach claim, the AI could have completed it but he was not comfortable sharing his SIN, so he filed it himself. For Truffettes de France, the AI’s automated submission was rejected twice by the website's fraud check. His verdict: "Concept is great, but my experience was a bit mixed."
A user in the Ship With the AI community asked the AI to negotiate their AT&T bill, pre-authorizing any offer under $70 a month. The AI got the bill to $40 a month plus 3 months free.
After a Zapier writer connected his dot to his real Google account, it proactively flagged card payments that had bounced and suggested ways to fix them. He ended up having to cancel a card.
Ulta Beauty built Ulta AI on the AI Enterprise to guide shoppers through more than 30,000 products, turning questions into personalized recommendations. Website conversion rates tripled.
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.
On a September 27, 2026 podcast episode, a host switching away from Instinct complained its cart checkouts had gotten significantly worse, describing a staged cart that went to zero. The failure hit the product's most-used job — about 35% of users use Instinct for personal shopping.
A Silicon Valley corporate lawyer says the AI obtained car insurance quotes for him — GEICO $307/month, Progressive $220/month — against his current Mercury premium of $300/month, a saving of about $80/month or roughly $1,000 a year; a AAA quote attempt failed on website issues. He notes he supplied detailed personal and family information for the comparison but withheld his credit card number.
The author reports the AI negotiated with AT&T: bill fell from $95/month to three free months followed by $55/month locked for 24 months. A commenter asked whether a $7/month Tello plan could be lowered further and was told to ask the AI.
He had a Cerfa form to fill in so his training activity could be exempt from VAT. He says the AI filled it in all by itself.
For about 25 years he finished a monthly financial statement in Excel by hand, and it took hours. He connected the AI read only to all his accounts through Plaid. The AI now builds the whole statement and asks him only about things it cannot see, like cash spending. The job takes 15 minutes instead of hours. He is having the AI build him a custom money dashboard next.
Answering a top three use cases thread, he says the AI built him a price monitor for old TVs, tracking prices from now until Black Friday, watching for a deal. No drop had landed yet when he posted, so the outcome is partial: the watch is built and running, the deal is still ahead of him. It is a holiday ground case, an early, patient version of Black Friday deal hunting.
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.
Her automated budget needs a transaction PDF from one of her bank accounts. Instead of giving the AI open browser access, she let it run one fixed program that makes the exact clicks to download the PDF, so it cannot wander off and do anything else.
With about 20 credit cards, she could never keep track of what each one earns. The AI built her two dashboards. The finance one shows every card with her own nicknames for them, all her bills with due dates, one tap mark paid buttons, live checking balances through Plaid, and her credit score tracked monthly. The spending one logs purchases she texts in, like a shop name and amount on a named card, sorts them into categories, and tells her if she picked the right card, since it knows her rewards, like 6% on groceries on one card and 5% on gas on another. It also sends a Sunday morning roundup of the week's bills, reminds her which card to use before she shops, and warns her about quarterly reward caps.
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.