A random mix from the whole library. Shuffle for a new set.
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.
The same investor says he also has the AI watch special situations and send him push notifications when a situation changes. He mentioned it alongside the investing sheets the AI keeps updated for him.
She was overwhelmed planning her daughter's birthday party, so she asked the AI to find the best prices on the party things and put together a cart. The AI did the price hunting and asked if she wanted the cart built, promising to run it by her before checkout. She said yes. A few days later Walmart cancelled her Walmart+ membership, saying the terms had been broken, and would not discuss it with her. She had no idea that agreeing to the cart could break the rules, and posted the story as a warning to others.
Had the AI install DuckDB and it is now running automated exports into DuckDB for his budgeting.
A man looking for a new cooker has an AI running on a virtual machine keeping an eye on prices for him. The agent created its own scheduled job that runs the price checks and messages him if anything interesting has happened since the last check.
The AI found the lowest-price detergent on Coupang and added it to the user's cart, and separately set a fare-drop alert for a trip the user is watching.
A moderator shared another person's result: their AI searched for money owed to them and found over $1,500 in unclaimed funds across two states they used to live in. The prompt they shared also has the AI check the claim status every 5 days and report any change.
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.
Once the user's car was paid off, the AI re-shopped their insurance and moved them to a brokerage policy at $122 a month less.
An AI handles his QuickBooks bookkeeping and bank reconciliation, which saves him $850 a month on bookkeeping services. The same setup runs a first level helpdesk bot inside their support system.
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.