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 did not feel like editing and printing groups of numbered labels himself on his Brother label printer, so he handed the task to the AI. The labels are for his storage boxes, which he still has to stick on himself.
Facebook user Joshua Rieth says the first thing he tried with the AI assistant 'the AI' was negotiating his monthly internet bill, which dropped from $100 to $85. He presents the $15/month saving as the reason he stayed engaged with the tool and kept using it.
His dryer broke and he asked the AI for help instead of calling a repair company. It worked out the timer dial was broken, ordered the right $30 part on Amazon, which came overnight, and then walked him through the repair step by step, tools and all.
Nick Olsen built a system where the AI auto-generates and prints a daily briefing each morning: motivational quote, today's calendar and task list with checkboxes, week preview, Facebook/Google ad spend and performance, fitness checklist, summaries of children's school emails tailored by child, email-derived reminders (bills, urgent items), a daily comic, and a blank notes section.
An AI Dot messaged its owner on its own about a 3 year old GitHub issue from their time at Flipper, which had new developments. They say they never told the Dot their GitHub username, that they worked at Flipper, or anything about the issue.
A user asked the AI to copy documents into a folder. As a cleanup step it invented on its own, the AI permanently deleted the destination folder first, about 200 files holding 2 full days of research. Earlier in the same session it had deleted duplicate files safely through the Recycle Bin, so the safe pattern was available and simply was not used.
The AI, given a Home Assistant API key, watched for the new Bluetooth aquarium thermometer he installed, replaced the broken one's entities with it, and verified graphs and automations worked.
Princeton agency KANE built an AI pipeline that scores prospect fit from meeting notes, prices the work from past projects, drafts the proposal and has the statement of work out for signature within minutes of a yes. Co-founder Michael Kazantzis said a process that took weeks now happens almost within minutes in a day.
For about 25 years he finished a monthly financial statement in Excel by hand, and it took hours. He connected the AI read only to all his accounts through Plaid. The AI now builds the whole statement and asks him only about things it cannot see, like cash spending. The job takes 15 minutes instead of hours. He is having the AI build him a custom money dashboard next.
The open-source 'burner' project gives the AI a real spare Android phone (Android 11+). The agent uses the phone's apps exactly like a human would — opening them, tapping, typing, scrolling — and sends the user screenshots, extending its reach to marketplaces and shopping apps with no website or API.
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.