A random mix from the whole library. Shuffle for a new set.
A user built optimAIzr with AI, a local-only CLI that analyses his own LLM usage habits, flags costly or repeated patterns and estimates where he can cut tokens or spending. All data stays on his machine, and the tool adds live tips while he works.
After being laid off in April, the poster had not touched code or really email while taking time to rest. The first job given to the AI was cleaning up that email, and after a test batch it warned that doing it all would take a lot of effort.
He found the GPX file from his 2013 Mongol Rally, 437 kilobytes with 2,226 track points and 98 check in messages. After a flat map first to check the data, three rounds of prompting with AI turned it into an interactive 3D globe with every message pinned where it was sent and 99 photos placed along the 11,138 km route.
Lauren El-Dahdah, a Houston wellness/lifestyle creator overwhelmed in September, tested the AI via her agent 'Mimi' (beachy avatar). For her son Leo's 2nd birthday, Mimi created a six-page printable 'Leo's Born 2 Ball Party Plan' (sports theme, Sept 26): countdown timeline, guest communication templates, daily task checklists, shopping lists organized by zone, and a day-of run-of-show.
The AI ran a protein-design pipeline at home on a 5090, chose similar tooling, and generated about 100 trajectories running 24 hours.
A local Qwen model on his home server pulls his RSS and social feeds, release notes and papers, scores each item against an interest profile he keeps by hand, and writes a one line summary. Nothing leaves the machine. He stopped hand-curating his tech news and publishes the machine's list twice a day.
He teaches chemistry and built a website with AI where his students form crews, make an avatar and a spaceship, and travel between planets that stand for class units, entering learning academies to fight boss battles or other crews. He funds it himself, uses AI for some of the interactive lessons and Canva for graphics, and posted asking how to work more efficiently and use fewer tokens.
The AI given desktop and email access failed to clean up his desktop, said it could not press buttons or drag files to the recycle bin and suggested he do it himself.
Using the AI with Blender, he had a Turkish lamp modeled from his description, then brought the model into Clip Studio. The red lamp on the left was finished from instructions he sent remotely while riding an exercise bike.
Told the AI which plugins and settings he wanted in Neovim; now has a single-file setup used across four machines, and the AI bundled gitbutler-cli from source for him.
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.