A random mix from the whole library. Shuffle for a new set.
Someone had the AI build a trade-alpha dashboard from his trade confirmation emails and benchmark the results against SPY. The agent turned scattered confirmations into a performance benchmark.
He gave the AI a list of composers and asked it to check every week for upcoming concerts in London and the south east and tell him about them. It showed him something else instead.
A father bought an old Pentium machine partly for retro games and found a childhood favourite, a 1991 learning game, froze the whole PC every time it loaded on the real hardware. He handed the AI the original game files. In five minutes it had taken the program apart, traced the hang to a sound check that waits forever on modern sound cards, and written a three byte patch into a copy of the file. The patched game worked on the first try, ready for his son.
A language learner had the AI create an original walk-around game that teaches vocabulary from the first episodes of a Korean webtoon, targeted to his intermediate level. Every word is tappable for a simpler-Korean definition, with cloze quizzes woven into the story, and he has played through two of four chapters.
GLM and the AI redesigned an interior 3D-print part to print in vase mode; the new part is better than the human-designed part he took from the internet.
His role was eliminated on Tuesday morning. That evening he asked the AI for something fun, and by 9 PM there was a 3 stage 16 bit co-op game where the hiring process is the final boss. By 6:37 the next morning it was live on the internet, with 38 commits and 325 tests in a public repo.
X poster someone had the AI compare 3 shops, email 2 installers, and book a Thursday install: $1,450 vs the original $2,300 quote, saving $850.
An LLM performance-tuned his Godot voxel game over 3 days, taking it from 12 fps to 60 fps with diagnostics and render changes.
The AI interfaced with FPGA boards over USB, set up UART, created an on-chip logic analyzer, and troubleshot a synthesis problem to a workaround.
Creator took on a $30/week family-of-4 budget challenge with AI, asking it to start from what she already had in her pantry. The AI produced 7 dinner ideas, a grocery list, and a price comparison; her Walmart haul came to $29.66, under budget.
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.