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.
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 weekly scheduled plan writes the week's dinners into their Google Calendar, trained on the family's dietary needs, restrictions and preferences. It checks the local weather forecast and the calendar itself, so a hot day gets burgers on the grill, a cool night gets chili, and travel days or evening commitments get easy low stress meals. They eat out far less now.
A couple filed their own taxes - his simple, hers split between employment and freelancing. The AI made sense of the Excel spreadsheet their accountant sent and translated it into exactly what the tax portal expected, beating the tax advisor they hired two years earlier, who had made a significant mistake.
He directs academic tech at a university. Every semester some instructors never set up their courses, so students walk into empty course pages. A day after signing up, he had the AI build a CSV of upcoming courses with no content, or where the instructor has never entered the course. The list also told him one course was already open to students when courses should not be open yet, so he closed it.
Peter Yang ran a learn how I write skill in an AI app Duet. It read 33 of his sent emails, 89 Slack messages, 47 DMs and 11 docs, then saved a writing guide as a skill that Duet now uses to draft his email replies in his own style for him to check before sending.
He asks the AI Agent to caption a video in Palmier Pro the same way as the previous one, and it does it from what it remembers. If there is no voice transcript, it writes code to make the captions happen.
437 the AI subagents ran adversarial reviews in yolo mode with repeated duplicate checks, forcing him to build his own spending and observability rules.
His 3D Systems Sense 2 scanner had no working software left, since the maker and the other scanner apps had all dropped support. The AI updated the program he uses so modern RTX graphics cards work and found a data limit that capped his sensor at half its native resolution, and he later posted that it works.
A developer gave the AI a token for his code repo and set a two hour cycle. The AI checks the issues page, makes a branch for each issue, writes the fix or change, and opens a pull request. Merges rebuild the app and serve it on his home network, and the AI texts him on Telegram when it has a question or when work is done. He uses the app daily and files features as issues, which are handled within a couple of hours.
Runs LLMs to audit the math in claimed arXiv solutions for his ranked open-problems list; audits already found six faulty proofs that had caused problems to be wrongly marked resolved.
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.