The AI tears through the apps on his phone, adding the features he wants
Uses the AI to reverse-engineer phone APKs and add the features he wants, tearing through the apps on his phone.
A random mix from the whole library. Shuffle for a new set.
Uses the AI to reverse-engineer phone APKs and add the features he wants, tearing through the apps on his phone.
Jailbroke his Kindle with GPT-5.5 Sol and turned it into an external e-paper display; the project code was written by GPT-5.6 Sol.
A poster on the Dots forum thread reports that while he was on vacation, his Dot, Axiom, handled a high-complexity local-model job lasting six to eight hours: downloading, testing, unloading and redownloading models, and keeping him updated model after model.
Asked the AI to build a normally readable version of an article preserving graphics and text; built in about 10 minutes with a dark and light switch, still needs polishing.
Mostly Borrowed Ideas had the AI infer his interests and holdings from email and use them to fill his AI feed. The agent built a portfolio-aware feed from Gmail.
He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
His wife, a dancer, was fighting normal video players to learn routines, dragging the playhead back by hand for every rep. With zero Swift and no iOS experience, he built Dashi Dance with AI over about ten weeks, and it went live on the App Store on August 25 in 15 languages, with three updates shipped in the first two and a half weeks.
A man set up his agent setup so the AI could ping him on Telegram when it needed hands. Working on hardware together, he got a message every 5 to 15 minutes telling him to move a resistor or patch cable in a set way, and following the instructions they got the hardware working the way he wanted.
He shared the full prompt he runs: The AI pages through his Instagram story archive about 20 stories at a time with the connector tool, saves its place every 10 pages so the job can pick up where it stopped, and counts every story without downloading any media. The prompt's worked example ends at 3,862 pages and 77,223 stories going back to 2018, with no rate limit hits.
Demonstrated live: The AI searched court availability, booked the slot, and put it on the calendar without leaving the AI.
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.