A random mix from the whole library. Shuffle for a new set.
He built a pocket AI pet over a weekend on a Waveshare ESP32-S3 board with a 1.8 inch AMOLED touchscreen in a small case, running firmware he wrote, and you push to talk and it answers out loud in its own voice while the text shows on screen. Under the voice there is a pet layer: it gets hungry, reacts when you tap it, has moods, and runs on a small battery inside the case.
The AI helped him add drop-down menus to his archived WordPress blog so his 460 podcasts and more than 6,000 blog posts can be reached by category and by date. The AI also helped configure the search box for dynamic searches.
Personal-finance creator Tiffany Aliche (someone) had her AI 'Monae' pull her saved Instagram posts about New York City events and organize them into a dated 'Fall NYC Itinerary' — including Morgan Library and Frick Collection free Fridays — set it to update daily, and add selected events to her calendar.
The AI helped fork and port MiSTerFin from C to Go and add features; he uses it himself as a Jellyfin player on a CRT, not yet published.
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.
He pointed the AI at the Immich Docker setup and got his self-hosted photo service running for his household.
The last of four cryptograms on a famous unsolved list had resisted everyone since 1950; the first three fell in 1948, 1996 and 2019. Working with AI and OpenAI, the poster cracked it: Opus 5.5 wrote the search code and picked out the books to use for the key phrase, another model verified the result, and the list keeper has confirmed the solution.
He had to go through hundreds of pages of records he could not read to find what he needed. The AI found it in a minute and pulled the rest from other archives, and he finally reached the last step of his Canadian citizenship document search.
An LLM performance-tuned his Godot voxel game over 3 days, taking it from 12 fps to 60 fps with diagnostics and render changes.
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.