Found and cancelled $295 in unused subscriptions
Parker Pannell asked the AI to save money on subscriptions. It found and canceled $295 in unused subscriptions.
A random mix from the whole library. Shuffle for a new set.
Parker Pannell asked the AI to save money on subscriptions. It found and canceled $295 in unused subscriptions.
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.
Built a purchase history scraper for Amazon and Kroger with price and quantity history views.
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.
The same writer set the AI a daily price watch on a WWE Blu-ray. The AI checked listings each day and pointed him to a copy on eBay under $20 with free shipping, bundled with another disc he plans to sell on.
'Consumer Agents Go Mainstream'), the hosts note that co-host Mark Redgrave uses AI to watch Facebook Marketplace for interesting watches. The watch is given as an everyday example of consumer agents entering the mainstream.
Barron's reviewer Josh Schafer told his AI Josh Jr. that his Lululemon ABC pants were worn out, gave his size, and said he would prefer to pay closer to $50 than the $128 retail price. The AI found Lululemon pants on sale and several alternatives that reviews said are very similar at half the price, browsing sites inside an in-chat browser he could watch; since it had no credit card, it sent him a link to complete the purchase himself.
A man gave the AI strict tag research tasks and had it work through the whole ticker list again and again, searching and comparing XBRL tags in SEC filings. The pipeline now pulls 10-K and 10-Q filings for more than 600 companies, maps tags onto about 35 financial concepts, and produces cleaned data. Doing 3 tickers by hand had taken him about 3 weeks and still gave wrong data.
In a thread about a Garmin MCP and privacy tradeoffs, a commenter says the AI found errors his CPA had made in his returns. Amending them recovered over $100,000, at the cost of feeding the agent a lot of personal financial information.
In the same roundup, another user's Dot went through a live chat to cancel an in-flight wifi subscription and obtained a refund. No amount or provider is named in the account.
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.