A random mix from the whole library. Shuffle for a new set.
He set up an auto-sync of his Goodreads updates to BookHive with help from the AI and val.town, so both places now hold the same content, including his new review of Slaughterhouse-Five.
Used the AI to get 4 unfamiliar Proxmox LXC services working, drafting configs and VPN-only firewall rules in 2 days instead of about a week.
Saving his Bluesky threads as Markdown files for Obsidian was a chore he kept doing by hand. He asked the AI to build a converter, and the finished tool is up on his site for anyone to use.
Fable reverse engineered the Satisfactory blueprint file format and wrote a reader, a graph auditing tool, and a website; work that would have taken a couple of weeks by hand.
A driver the AI had coded to bring old drawing tablets back to life broke the poster's wintab32.dll file, even though the app it was based on never touches that file. Fixing it took 5 hours.
Instead of just watching film and going on impressions, he charted the Western Michigan and Minnesota games. The AI built a small browser app to help him chart and then summed up the plays, and he shared EPA numbers on standard downs for the Minnesota game.
Eric Siu (verified, 120K followers) demonstrated the AI’s Instagram integration reading his bookmarks and follow graph, then generating batches of tailored video outlines — '60-Second Playbook,' 'Story Cut,' 'Debate Cut' — each with hooks, TL;DR lines, talking points, editor notes, and links to past successful reels. He said it replaced a full-time person's scripting-research role.
Worked weeks on an AI-generated, human-guided proof of Hilbert-Smith with a complete 100k LOC Lean4 formalization, rushed out after OpenAI's release.
He set the AI to work on the 860 page American Alpine Journal master index, covering 1929 to 2024. It read 35,125 entries and 94,081 page references and mapped each one to a mountain region.
A professor took the PID control demo from his own book and had the AI build it as an eight mission 3D flying game for his students. Students predict what the drone will do before each flight, and he checked every mission against his book version before it went live.
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.