A random mix from the whole library. Shuffle for a new set.
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.
The AI ported the user's mobile service to a new provider in under 60 minutes, cutting the ongoing cost by 75 percent.
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.
Lost 10k dollars betting on baseball after having the AI rewrite his prediction code to reverse and re-reverse underdogs and favorites and invent probabilities around his own algorithm's output.
Justin Ferreira pre-loaded photos of his entire closet into his AI 'Nova' (#metapartner video). Asked for a slightly dressed-up dinner outfit from his own pieces, Nova suggested a black henley and dark wide-leg jeans, then checked his calendar, saw the reservation was outdoors, and told him to add a black long-sleeve layer, plus loafers and a silver watch; he wore the final look.
He and his wife hold pensions, SIPPs, property, mortgages and ISAs across seven or more places. He built a planner that aggregates and prices all of it, projects future values, and sends push alerts with rebalance signals when goals are met. The monthly Excel update he used to do by hand is now a five minute browse.
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 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.
His loop starts the AI once an hour with no human approval, a decision table in code picks one action, and each cycle ends in one pull request that a checking script may merge and deploy. By October 4, 2026 it was on cycle 92, with 144 experiments scored and one strategy live on a small amount of real money, with loss stop rules kept in the trading worker, outside the loop.
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.