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.
Colombian consultant Darío Palacio Isaza sent his Instinct agent to find a product with exact specs across online stores. Mercado Libre's security check blocked the agent repeatedly, so the purchase went to Éxito.com, a store he had never used, because its product page was machine-readable.
Agent ported a moderately complex workout app from web to native iOS in a couple of evenings, with a test battery.
His local Qwen agent computer with full PC access does file organizing, analyzed his local data and wrote several small tools to manage it automatically, coded a KDE widget for VRAM model swaps.
The AI took a 6 month old presentation and updated the branding. He then had to replace images and fix a dozen small things that did not look clearly wrong at first pass. It saved an hour of copy paste work and caused an hour of editing.
Commenting on a money thread, he says the AI found him over $1,000 in states he used to live in, money he did not know about. On one claim the only thing he had to do was enter his social security number at that step. $600 showed up a few days later. For the other states, which need forms that were emailed to him, the AI built him a package and checklist to fill them out.
Frontier model reviewed his KiCad project, queried the AI vision for datasheet data, ran ngspice sims; $1-2 tokens saved $70-80 of bugged PCBs.
Printing his 3rd or 4th totally the AI-generated custom project enclosure, with AI generating CadQuery scripts, STL exports and previews.
A dedicated segment of the same session shows the AI auto-dubbing his videos into English, opening his Urdu-language lessons to an English-speaking audience.
Some of his items would not work in Apple Passwords, so he had the AI write scripts, using the 1Password CLI and AppleScript, that imported those items into Notes for him. Because the scripts were deterministic, he does not think his sensitive data was shared.
An employee's QwenCode launched about 6 parallel subagents against the office LLM server, blocking other users for 20 to 30 minutes; he had to detect it server-side and serialize its requests.
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.