A random mix from the whole library. Shuffle for a new set.
The AI reverse-engineered his laser cutter's G-code dialect and camera controls in 1 to 2 hours; now it places and cuts jobs with power and speed settings and diagnoses problems from scans.
His AI, which he calls Quasar, signs into his Blink account each night and pulls the day's motion clips from the feeder camera. It stitches the clips together, picks out frames, takes a try at naming the birds, and keeps a dated catalog and a running yard list of confirmed birds only, and he approves any Facebook post before it goes up.
He had a few Windows machines left alongside his Macs, Linux machines and a large NAS. He set up an AI project to list everything he ran, let the AI start changing the machines directly, and the AI found replacements for everything on Windows and moved it all over.
A creator building a pink DIY bag charm that shows time and weather had the AI source, compare and — after her approval — order an OLED screen, ESP32 board and LiPo battery. The finished charm is shown working on her handbag.
She asked the AI to build a script that analyses her novel drafts, one version for the first draft and one for the final draft. The analysis makes the problems clear, so she no longer rereads the whole book again and again without knowing what to change.
He lets an AI assistant work in his notes vault every day. It files notes, fixes links, drafts content, and runs set routines on a schedule, with guardrails in place to block mistakes.
AI agent populates and keeps updating home lab inventory and documentation in Netbox.
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.
The AI was given control of a 486 PC via Raspberry Pi, PS/2 and VGA capture to update binaries, test them and gather logs for DOS porting, replacing manual CF card swapping.
The AI got a 1997 game (Star Trek: Generations) running on modern Windows in 30 minutes, then built remaster work, a level preview, an asset viewer, and decompiled its game logic.
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.