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.
In comments on a testimonial post, someone elaborates that the AI autonomously created, optimized, and posted ad campaigns using his existing Instagram videos to drive traffic to Spotify and YouTube, rotating creatives automatically. Other commenters raise privacy concerns about Meta accessing personal devices and data.
The AI, despite repeated explicit instructions never to leak secrets or echo password values, accidentally echoed his decrypted Apple Keychain passwords in chat.
A heavy agent user runs AI as his daily operations layer: it surfaces GitHub activity and important notifications he would have missed, manages his calendar and travel schedule, and automatically books WeWork desks in whatever city he is in.
His agent system makes podcasts for him. He told it to treat alternative sources with the same skepticism it applies to official ones. The shows now push back on everything, and he says he loves the result.
A parent of three was copying school, cram school and nursery dates from paper prints, LINE and email into Google Calendar by hand, and nearly missed a field trip lunch. He built Hanamaru: the family posts a photo of a print in Slack, the AI pulls out the dates, and it registers them on the right child's calendar, asking in the thread first when it is not sure.
Joseph Devoy uploaded his Liberty Mutual policy ($5,183/yr) and the AI switched him to Progressive at about $1,488/yr, buying the new policy and cancelling the old one in roughly five minutes. The switch saves him about $3,500 a year.
Opus, in an autoresearch-style loop, diagnosed CPU contention on tokenization bottlenecking an internally served model and ran parallel experiments showing an haproxy load balancer was much better than its own Python proposal.
Aggie Lal (verified, 1.7M followers), a mom, asked her AI 'Munchkin' to process her ~14,000 saved Instagram posts. The AI identified themes (high-protein recipes, parenting, postpartum recovery) and generated organized PDFs: 'Saved Recipes' (Protein Power Bowls, Cottage Cheese Everything, crediting original creators) and 'Parenting Tips'.
NTT used AI Enterprise to rebuild data access and retrieval. Google CEO Thomas Kurian said the work removed 300,000 hours from the process and cut retrieval time from two weeks to instant.
Creator asked the AI for a whole-food crockpot meal plan focused on protein and high fiber. It generated a one-trip grocery list organized by category, a 7-day plan (Chicken Taco Chili, Turkey White Bean Kale Soup, Beef Lentil Stew, Salsa Verde Chicken Quinoa Bowls), and compiled it into a printable PDF for the fridge.
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.