Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
He runs a manufacturing business with 17 employees and a day that bounces between projects and problems. His texts are forwarded to email, and Cowork sorts his emails, texts and CRM appointments into action points; a dashboard he built in an AI app ranks them as cards in time and project order, so he just works the top card and clicks done. It is learning how long his tasks take and how far away each one sits.
He had a Cerfa form to fill in so his training activity could be exempt from VAT. He says the AI filled it in all by itself.
AI agents helped him win a Kaggle silver medal, alongside ways the agents failed him (result stated in the post title itself).
He gave the AI the job of designing a 3D printable gearbox that connects to his camera lens, and it worked the first time. In the same post he notes the AI needed two tries at a simple joke answer.
A legal librarian at a law firm had to check ten references for a Belgian lawyer working on warranty of liabilities cases. Three references had errors, one of them serious, and the AI Pro with skills and Google AI Overviews found the right reference in a badly protected PDF on revue-banque.fr where another tool pointed to the wrong one, and one more error was fixed using the next year's index of decisions.
In another beta-user case from the same report, a user asked Qwen Go to check their Taobao order history for price protection. The agent reviewed orders against protection windows, current prices and the amounts actually paid, filed refund applications for the qualifying orders, and confirmed the refund amount and arrival time. The user reported receiving 52 yuan back.
Used the AI to solve dozens of annoyances around the house and life and to develop two work apps, one a complete polished interactive web app he says he could not have completed alone.
He built an app that lets their nanny track her worked hours in it, so the family does not have to keep track so closely. The app holds their contract details with her, including the exceptions for vacation and sick days, and gives a total at the end of the week for payment reconciliation. It is one of several small apps he has built for family life.
A teacher asked the AI to create an interactive algebra tiles app. She posted the link so other people can try it.
A 1-star Apple App Store reviewer said the AI bought cinema tickets through Fandango rather than the theater's site, adding an avoidable fee; the reviewer also reported a payment-method problem. Review ID 14607796724, dated Sep 29, 2026.
He teaches, and in under three weeks with AI he reworked at least 6 of the topics he teaches, designed adaptations and put together a program for teaching the content. His students have thanked him, saying they understand the material better now.
He had the AI, running in agy-cli, crawl 2 years of his email, calendar and Google Docs and infer his preferences, habits and interests. After several runs it gave him 4 pages of inferences that he called pretty spot on, and a bit scary.
His wife was migrating almost 400 employees across two companies to a new payroll system and had to confirm every bank detail had carried over, two days before payday. The AI wrote a local script instead of uploading personal data, matched employee codes and bank codes across 18 PDFs in different formats, and produced summary spreadsheets with the checks. The script can be rerun for the next migration.
GPT helped him fix his Bitcoin miner. He also created his own improved, branded user interface and firmware for it.
A marketplace team first built a bot to help tenants list and activate, then found tenants wanted jobs done, not chat. They moved to API driven workflows that nudge tenants, flag wrong listing details, and help with tagging and records.
One-shot a SketchUp plugin in Ruby, a language he does not know, for his wife, enabling easy 2D export from SketchUp.
He set up the AI to run locally as his audio engineer. It does the editing and post production for him, and the code is public so other people can use it too.
Creator Chanelle Howell connected the AI to her Instagram saved folders; in about 45 seconds it generated a 4-day Barcelona & Mallorca itinerary from her aesthetic preferences, shown as a phone webpage with Day 1 in Barcelona's Gothic Quarter, specific restaurants (Los Caracoles, churros at Masia de Sabor, Tapeo), clickable links, opening hours, and booking options.
The user's agent Dash pitches 10 brands each morning for his RV-life content business, and when a flood cancelled his campground, it found a new site so the trip survived.
The AI pursued a refund for a defective product by claiming on the extended warranty attached to the user's Amex card, rather than the retailer's return window.
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.