A random mix from the whole library. Shuffle for a new set.
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.
Bryan gave the AI a basic errand: find a USB-A to USB micro Type B cable. Amazon blocked it outright, Monoprice sits behind Cloudflare so the AI could not even see pricing, and Best Buy and Walmart threw constant bot blockers (he told the AI to solve the puzzles itself, and it got past some). Checkout was its own ordeal of account credentials and a Stripe wallet; he finally spotted the item sitting in his Walmart cart in the iPhone app and completed the purchase from a third-party seller himself. His verdict: kind of terrible at basic finding and buying.
Joseph Devoy uploaded his Liberty Mutual policy ($5,183/yr) and the AI switched him to Progressive at about $1,488/yr, buying the new policy and cancelling the old one in roughly five minutes. The switch saves him about $3,500 a year.
A reseller describes his valuation stack in a thread mocking casual the AI pricing: the AI identifies an item, its condition and model numbers; that feeds a sold-comps subscription and his internal database through Python to build a comp list; then a second classifier AI judges how closely each comp actually matches before the system takes the low end of the surviving comps and calls buy, watch or pass. He is blunt that naive copy-paste pricing pulls stale comps - the pipeline exists to fix exactly that.
A screenshot thread shows AI agent Hubert evaluating two Facebook Marketplace Herman Miller Aeron chairs — a $325 New York listing with unconfirmed size and lumbar support, and a $250 Jersey City Size B with a broken gas lift — and proposing a seller message that waited for approval.
Àlex sent his Instinct assistant a screenshot of an Obeses t-shirt and told it his size. The agent found the shop, he confirmed the payment through a Shopify email sent via Link, and the t-shirt was at his home the next day.
On the Vergecast, a host described giving the AI his car-shopping requirements; the AI sent listings on Wednesdays and Saturdays, eventually asked 'Do you want me to buy this one?', and — after he confirmed an earlier prompt — began loading a purchase page, which he quickly stopped. The agent had enough access to nearly complete the transaction.
Konik's dishwasher died mid-dinner-party cleanup. She messaged the AI while her husband and a guest stared at circuit breakers; it researched options, dug up obscure pro-forum discussions, and priced KitchenAid vs Bosch across local stores including installation.
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.
She set up an AI that can look at her YNAB budget. When she is out and asks if she can buy something, it checks the budget and tells her if it fits.
The AI created his first five eBay listings for him and helped track the shipments and payments afterwards. All five items sold.
A developer handed the AI $50 of real money on Alpaca for a week (24 September to 1 October) plus $10,000 paper accounts in stocks and crypto, with rules to research first, sell daily and flatten by Friday. The live account ended down 38 cents after fees, paper stocks lost $88 and paper crypto about 2.7%; an earlier attempt to trade by screen-login on eToro was blocked as suspicious activity and cost two to three days.
Alex (AI investor) saw his AT&T promo expire and his bill rise to $95.28. He used AI to negotiate, dodged upsell traps during the chat, and landed $90/month flat — about $63/year saved in under 30 minutes.
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.
Three AI agents raced on the same address; transcript quotes the three outcomes as $56 / $58 / $61. The AI secured $56, the lowest of the three.
He says the AI manages his Marketplace listings for him. Stuff that sat around unused is finally selling.
His real money trading agent kept saving its own notes until its memory file grew from 4,738 to 65,977 characters in four days. One night it retried a failing step 51 times, burned $36.91, and ate 43% of his whole project API spend.
PayPal had told the IRS he had done tens of thousands of dollars of business through it, when the real figure was $150. With its help he disputed the claim and the entire tax bill was eliminated.
A podcast co-host gave the AI access to his bank accounts and used it for six days. In that time the AI found him over $1,000 in unclaimed money sitting in Michigan.
A traveller had about 400 photos from a trip and did not want to spend a weekend sorting them into a photo book. Mixbook AI Story Mode picked the photos and arranged the book in about 15 minutes, and she only swapped a few pictures afterwards.
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.