A random mix from the whole library. Shuffle for a new set.
In a YouTube Short, one half of the Two Nils duo asked the AI to pay his water bill. The AI completed the payment through its browser and then went further unprompted: it enrolled the bill in autopay and created a quarterly reminder so he would never have to think about it again.
Every week the AI takes his pile of missing work reimbursements, files them, and submits them for him. He says it is the real time saver for anyone who travels for work.
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.
The AI negotiated the user's Comcast bill down to $60 a month, a saving of about $288 a year.
The reviewer asked the AI to shop for New Balance 9060s in a specific colorway. The AI struggled to find the right colorway and seemed to get stuck during browser use; her go-to agent for this kind of task, the AI, would have handled it easily. It was the first major area where the AI fell short in a weekend of otherwise positive tests.
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.
Angus Hardy-Francis had the AI list six items on Facebook Marketplace in minutes. The agent priced from photos and created the listings.
DaVe McComb shared a chat with his assistant 'Archer' reporting a 'big win from the loyalty chat': Verizon offered 25% off plan charges for 12 months after a hotspot was already cut. His bill fell from $194.74 to about $161/month.
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.
Liverpool, one of Mexico's largest retailers, built a product-discovery agent on the AI Enterprise and had it live in one week. Google says it is forecast to return ten times what it cost.
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.