A random mix from the whole library. Shuffle for a new set.
He had the AI produce an animation with a voice-over inside a sandboxed setup. The direct routes to the audio tools were blocked by container limits, so the AI found another way to generate the voice, and the finished piece plays.
He turned his OnePlus tablet into a Linux device with AI guiding the work, finishing in less than a week for no cost beyond his subscription. Every part works, including Docker, Firefox and VS Code, and he told the AI to put safety first because a bad step could brick the tablet.
Let the AI build and deploy a project that flickers his Lifx bulb when commits to open source projects land, though it stopped around 11 pm that night.
After a month with agent 'Bingbong,' daily.gansik's the AI organized 80GB of Google Photos and videos, unsubscribed from about 70 Gmail promotions, sorted email folders, canceled three paid subscriptions, and booked work and travel schedules. The author noted HIPAA, FERPA, and NDA obligations block workplace use.
His Nostr relay moved from a single container to a Kubernetes cluster, redeployed by the AI with an uptime monitoring setup watching it. He reports the relay is faster and the migration went smoothly.
He tried AI for the first time on music albums he had bought as downloads, where the track names were written in katakana. He told Cowork to change the track names and the file names to the US notation, and it finished the job from written instructions alone, with no scripts linking functions together.
He had the AI download every video still left on a Twitch streamer’s channel, since Twitch only keeps archives about three months. The AI ran OpenAI speech-to-text twice for about $80, then made an HTML page summing up the public background the streamer had mentioned on stream.
A man had an obscure Alcatel modem with undocumented hardware. He soldered on serial pins, plugged it in, and asked an agent to reverse engineer the firmware. DeepSeek v4.1 Flash took about an hour to get a full OpenWRT build and flash pipeline running in an isolated container, the driver changes worked, and the whole job took under half a day and $0.86 in AI cost, work he says would have taken weeks or months.
He asked the AI to help draft an email and expected a local markdown file. Because he had connected Gmail through MCP at some point, the AI searched his mail, found the right thread, and created the draft inside Gmail.
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.
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.