A random mix from the whole library. Shuffle for a new set.
A man speaks voice notes into a smart ring during the day, and the AI sorts each note and sends it to the right place: memos and to-dos go to kintone, and answers come back on Slack and are read aloud. Every morning at 6 it sends him a summary of the day before, with the weather, the town garbage day, and what to take with him.
Inc. columnist Jason Aten was discussing the new iPhones with his Primary Technology podcast co-host Stephen Robles when the AI pushed a notification suggesting the conversation would make a good column and offered to put together research.
A teacher built his own LMS layer on top of Google Classroom using AI and Apps Script (he names the AI and the AI as both able to drive it): far deeper grading features than Classroom offers, a quick-select comment bank where any feedback he writes can be saved for reuse with one click, and on return each student automatically gets a formatted read-only feedback document both emailed to them and attached to the Classroom assignment. Student data never leaves the district's Google ecosystem.
He does not rely on a single AI model, so a bot agent continuously summarizes and consolidates his interactions across models into one updated file. The shared memory means any model he picks up knows what the others knew.
He used AI to decompile the Android app for Swedish public service radio and add an open source option for casting audio. He also set up a script on his home server that pulls updates, applies the patch, and pushes the updated app to his phone.
The AI created a custom Firefox build with a curl --resolve style SSL and DNS override feature he wanted.
A developer asked the AI to batch-generate images through fal.ai in budgeted chunks with checks between runs. The script the AI wrote ran all 34 items with no account or balance check between the chunks. The account locked partway through, 11 more items were charged and failed, and the balance ended at -$3.68.
The AI took the raw JSON vote files and, using the state's own rules for overvotes, skips and duplicate votes, built the full preference schedule for a US House race. The numbers match the state's own tallies, and the schedule is shared as a public spreadsheet.
The AI set up 5.1 surround streaming from his Linux desktop to Steam Deck via Moonlight, near one-shot apart from human speaker checks.
The AI rewrote the touchpad stack on his ThinkPad T14 running Linux and Hyprland. Touch to cursor time went from about 33 ms to about 18 ms.
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.