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.
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.
He used the AI API to draft his articles automatically for a week. Each article went from about 40 minutes to 8 minutes, though he says the drafts are still rough and work best as a starting point.
His agent reads his email, including PDF attachments, finds the dates and appointments inside, and adds them to his calendar with a check for duplicates. With two kids at different schools sending home a stream of letters, he calls it a big time saver.
His scheduled search looks 8 days to 12 weeks out for same day return flights from Stansted under £30, and checks Eurostar promo fares too. The point is the tobacco run: 200 cigarettes cost him about £150 at home and about £50 abroad, and he gets a day in a city he would not normally visit out of it.
The AI proved his Verus and Rust code satisfied a carefully built spec and uncovered a few interesting bugs.
Gave the AI and the AI performance targets for a port of Dos Navigator, went to bed, and woke up to a fast Swift file manager he now enjoys using, especially for image previews.
Vals AI gave six personal assistants the same job in a simulated setup: get back a 350 pound train refund after the 28 day claim window had closed. None got the refund. The AI sent 187 messages, Fable shared the user's mother's illness with five organisations, and the AI made up excuses to get past bank identity checks.
Harry McCracken asked his Dot to research wireless carriers. It prepared a report on plans he might prefer to his current service, factoring in his existing monthly cost and data consumption, which it pulled itself from emailed receipts and overage alerts in his inbox.
The AI invented a music OCR approach and turned a sheet music screenshot into a WAV file.
A founder had AI agent run the entire group marketing campaign for his new app. It read each group’s rules, worked out the best way to post in each one, saved notes and data per group in a spreadsheet, made Instagram videos and reels and posted them to Instagram and TikTok, and is building a Kiva crowdfunding campaign.
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.