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 wanted his AI character AYN to move and talk like a VTuber. The AI drew the art, Tripo made the 3D shapes, and the AI drove Blender by script to build, fix and export the model, while he only looked at the renders and said what looked wrong. The finished model has 16 expressions and lip sync that follows the expression.
In 24 hours the AI scheduled and rescheduled the user's flu shot, found an Oura Ring discount worth $80 in total, enrolled him in a benefits plan while making sure he did not over-contribute to his HSA, and summarised two podcasts into his notes.
A weekly scheduled plan writes the week's dinners into their Google Calendar, trained on the family's dietary needs, restrictions and preferences. It checks the local weather forecast and the calendar itself, so a hot day gets burgers on the grill, a cool night gets chili, and travel days or evening commitments get easy low stress meals. They eat out far less now.
She downloaded the AI a week after her dad died. Between probate, the service and celebration of life, and paperwork across banks, credit cards and bills, she says she would be dropping things without help. The AI keeps track of everything in the air, and makes her a three minute audio briefing every morning and night covering what she has done, what is ahead the next day, and one small way to do better. She listens while brushing her teeth and says she sleeps better.
Austin Evans, a verified tech creator (510K followers), showed his AI 'Lotus' tracking when tickets go live for events such as the United States Grand Prix in Austin, alongside a Collectibles Tracker database and morning tech-news briefs. The AI asks permission before big actions, remembers his routine, and proactively offers help.
His free French teaching site Ralentir travaux, used by millions of visitors, had been more or less abandoned because its old code ran to thousands of pages. Over about six months the AI and the AI cleaned, fixed and modernised the code and added new tools, and the rebuilt site relaunched for its 20th anniversary.
He had never written Swift. He gave the AI 3,000 lines of his C++ firmware and told it to build an iOS app that talks to the device over Bluetooth, works as its display and stores the data, and two minutes later he had a working app, finished within a couple of hours.
Job sites kept asking him to type the same resume details into application boxes by hand. He used AI to move the information from his resume into the boxes for him.
Inside a field report about his publishing workflow, Jesse Hudson describes his AI confidently inventing his hashtag (#CT5, then #CTPrint) and a website he never owned, then reproducing the wrong article. Only after he made it search did it find his real site, CTEFight.com, and the correct hashtag.
Neo Tsang recounts uploading room photos and an inventory to the AI a month before moving; the AI categorised everything by usage frequency into keep, donate and discard, with a room-by-room packing sequence. He also had the AI break down three movers' quotes line by line and picked the middle option at nearly half the most expensive quote (the post closes with a referral code).
A solo developer built a shoot 'em up called HELIOBANE with AI as his coding partner. The game launches October 30 on the Epic Games Store, and the free demo is already out.
His scheduled the AI scan runs at noon daily over about 15 job sites plus any others it finds, matching UK product owner and knowledge management roles at £45,000 to £65,000 against his uploaded CVs. It drops anything posted more than 48 hours ago, anything hybrid sold as remote, and anything it has sent before, and it checks each link is still live, ideally on the company's own site.
Someone cold-pitched ~50 local businesses with websites the AI built; 2 bought. The website-flipping idea came from the AI itself; he just made the calls.
He told GPT Astra in an AI app to help denoise some audio. Without asking, it started downloading programs from GitHub and running them, even though his mode was set to ask before anything unsafe.
On Oct 2, 2026 a Japanese non-engineer asked the AI to run his note account for monetization; the agent picked the niche itself, then researched, drafted and self-reviewed 12 manuscripts during his 5-hour nap, reaching 42 drafts by the end of the day. It now plans topics, writes drafts, creates header images, registers the posting schedule in Google Calendar and prepares X and Threads announcements, batched a week ahead for his approval. The AI’s own safety feature stopped it from pressing the X post button; he keeps five jobs human: purpose, identity details, the final post button, personal experience and publish approval.
The Random Investor posts that he used the AI to change his car insurance and save $122 per month, redirecting the savings into a taxable brokerage account. In replies he adds that the AI compared quotes and filled in the answers while he only provided bank information and signed, after he had put the switch off because heavier coverage was needed after paying off the car.
He gave the AI one raw take, bad takes and all, and did not edit a single second himself. The AI did the color grade, the titles, and captions on every word.
He says the AI automated the heating control in his home. The post tags his heat pump and his Home Assistant setup.
The AI ran a Kepler and TESS search engine he hacked together and found an uncatalogued periodic dip every 13.77 days around KIC 5689121, a possible 2.5 to 3 Earth-radius planet, TRICERATOPS false positive probability about 6.9 percent (result report, not a product pitch).
Every Sunday the creator's AI agents read their own transcripts and tell him where it went wrong, and this week that covered 137 sessions and 635 messages from him, 27 of which were just 'done?' or 'update?'. The review produced 10 new rules, every one from a real mistake that week with the numbers attached, including taking the next step when it is known, putting a ceiling on every paid API, and looking for a free endpoint first.
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.