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.
Whenever he visits a restaurant, the reviewer asks the AI to rebuild its menu as an accessible web page, with each category as an H2 heading and each item as an H3, delivered as a shareable HTTP link he can navigate by headings with a screen reader.
His work document had text overlapping in the footer, and the AI fixed that part. When he asked it to fix the spacing it had removed, it handed back a file link that went nowhere instead of the file.
HireEffect built a governed the AI reporting dashboard across five of its systems. A monthly reporting task that took two hours now takes ten seconds.
One poster set up a single AI agent on WhatsApp for their three-person family, with each member using it for different tasks and the agent surfacing relevant information proactively before being asked. The whole setup runs on one $200/month AI subscription.
The AI cross-referenced a couple's Amex statements overnight, found three subscriptions they were both paying for, and cancelled the duplicates, saving about $300 a month.
His AI connection tracker is synced with Bluesky, X and LinkedIn. It reminds him to check in on people and tells him what they have been up to.
Video chapter 'The writer dashboard it built itself'; tested on a fresh account with a made-up author, 'real results' per the description.
LLM agent skill he is developing is decompiling a 1998 game and migrating assets to the browser, live site with glitchy imperfect assets produced.
The same studio's agent Timmy orchestrates more than 20 tools to turn blog posts into short videos: Veo generates scenes, ElevenLabs synthesises a custom voice, and automated captioning, lip sync and final assembly finish the piece. The pipeline runs inside the studio's normal the AI production setup.
She uses AI as a side panel inside Chrome and it clicks on her screen for her. She says it takes ten minutes off her week.
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.