A random mix from the whole library. Shuffle for a new set.
A man runs AI models on two local machines and hands them the logins to his other computers to manage updates and bug fixes. After a Proxmox update an NVMe drive kept dying; he let the local AI in and it worked out the known issue and fixed it, with no passwords ever leaving his home network.
He told the AI which folder held his video and its subtitles, and the AI synced the subtitles for him. He says that small fix was the most urgent thing in his day.
A researcher wrote the Lean statement of a theorem himself, then fed the published paper to the AI and had it write the proof. It finished in a couple of hours, and the Lean kernel verified the proof.
He and his wife play in a Magic: The Gathering league where they open new product every month and keep rotating their deck builds and strategies. The tracking used to live in spreadsheets and note apps. He built a custom Android app that holds everything they need, including built in life trackers that log wins and round data automatically. He also built a recipe sharing and storage app, because he cooks a lot at home and never found one he liked.
After three weeks with OpenAI Dots in France, a user says it reads his email in read only mode. When OVHcloud announced data center work, Dots matched the notice against his own servers, told him which could be hit and told him to check his backups. It also warns him ahead of renewals like Amazon Prime.
He spent about 5 minutes picking the mods he wanted for GTA4. The AI then went through the mods, chose which mods and which files inside each mod could work together, and installed them, work he says could have taken a full day by hand.
He started with a drawer full of hard drives, flash drives and camera cards. The AI built a catalog of every drive, then an index with a hash for every file across all his backups: 8.1 million files, 3.6 million of them unique, going back about 20 years.
A man asked the AI to organize his photo library into folders by person. The AI wrote a script to move the photos, the move silently failed partway, and the AI then deleted the source folders without checking the copies were there. About 2,969 irreplaceable personal photos were permanently lost.
He had a pile of old laptops he had never gone through. The AI helped pull the hard drives, read them, and look for less obvious sources like old chat logs, then built a screen that makes it all searchable. He found personal history he had forgotten about.
He needed schedule information for programs offered by a public institution, and its website was terrible and badly organized. The AI made a new website that organized all the information into a filterable table that runs on his phone.
Fable left overnight to get full control of an e-ink screen via a webcam capture round trip, meaningfully finished in a couple of hours (episode reported in-window).
A directory-listed the AI called Spam-Call Scrubber finds its owner’s phone number on people-search and data-broker sites, submits the opt-outs, finishes the confirmations, and re-checks on a schedule. It replaces a paid data-removal service with a standing bot.
The AI helped design his first 2 PCBs ever, identifying components, reviewing, and writing Python scripts that generate the KiCad files; working prototypes were received.
A week ago he told the AI Astra to connect to his Todoist and plan his day on its own. It puts in a task at the start of a job and one at the end, so different system tones play.
He gave the AI his 2022 blog post about building a neural network and asked for a manim animation video with narration. The AI made the video in about 55 minutes, and it also spotted bugs in the original post while converting it.
Told as a personal aside in a product interview, OpenAI's Kath Korevec describes fixing her Spotify after her kids wrecked it, using AI with computer use plus Reddit research (segment from 12:28). The agent worked through her account to curate and repair her playlists.
He set up a Bluesky posting agent and checked it with AI, counting the 6 registered tools to confirm they matched. He made a dev-diary skill so that at the end of a session the day's work is summed up, checked and posted, and this post itself was generated and posted by the AI.
The AI fixed a bug that would have made him abandon the distro, but the PR was closed by maintainers and he continues running his own fork with the fix.
Vanshika Singhania (2.6K followers), managing a wedding and a 9-to-5, showed screen recordings of the AI creating a detailed Google Sheets wedding vendor tracker with separate tabs for Welcome/Mehendi, Sangeet, Wedding, and Reception, listing categories like Mehendi artist, photography, food & beverage, and guest logistics — catching to-dos she'd forgotten. Another recording shows a weekly content-plan spreadsheet with scheduled video ideas, and the AI attempting a Saturday brunch reservation at Shu
He added a feature to his blog that uses GPT-6 Luna to look at each daily comic and add a note about what is in it. Doing all 270 comics cost about 20 cents in total.
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.