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 says some tools disappear because a chatbot can now do their job reliably. The AI restored a corrupted video for him, something he would previously have used a specialized tool for.
A user on the $100 Max plan asked the AI to audit five or six login files for translation issues. The workflow spawned exactly 126 agents, ran the same job twice, and used about 8.4 million tokens, roughly half his weekly allowance.
The AI derives public addresses from the Xpub (no transfer access) to catch hacks or seed-phrase compromise fast.
A Reddit user asked the AI to catch up on unfiled vet bills. The AI searched the email backlog, found five bills totalling $1,504.72, and submitted them to the pet insurer.
He saved articles and never read them, because on his phone he ended up on social media or email instead. So he built a reading app with AI and the AI that bundles his saved articles into one EPUB for his Xteink X4 Pro e-reader.
The AI pursued reimbursement for a disrupted flight and recovered $2,000 for the user.
He found a problem on his website with the embedded Cal.com widget he uses for people contacting him. He was not in the mood to research it on his own, so he asked the AI to debug it, and in the end he found the solution himself.
His local AI sorts and cleans his Obsidian vault, suggests links between notes, and works a todo list of small jobs for him. A related eBay sniping tool from the same setup runs in simulation only, which he is open about.
The AI fixed a long-running Tailscale problem by lowering the MTU.
A man with no coding experience used AI to generate a VBA script in Excel. The script fixed a manual data entry gap at his work and took the risk of typos and misreads out of the job.
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.