An agent checks his lecturer partner's references against the real sources
Built an LLM-backed reference checker for his partner, a lecturer: an agent reads each cited source and checks the reference is correct and not hallucinated.
A random mix from the whole library. Shuffle for a new set.
Built an LLM-backed reference checker for his partner, a lecturer: an agent reads each cited source and checks the reference is correct and not hallucinated.
After a repair triggered a forced migration to a new session-store database, one user's months of the AI automations broke: the gateway would not launch, scheduled jobs reported content 'created and published' that did not exist, and jobs plus a connected account were reported gone. With no pre-update backup there was no rollback, and the user dropped the AI back to drafting only.
After putting it off for years, he worked with AI over a few sessions to build a homepage for his genealogy research. The page is up with links to eight parts of his work, and three of them already have material on them.
Over two weeks the AI built his hobby tool that matches free Sentinel-1 radar images with live AIS ship data around Denmark, recording AIS either side of each satellite pass on its own and marking radar spots with no ship as leads. In one check 2 to 5 of about 555 pairings were wrong.
Student has the AI review generated code on side projects; it caught a real security issue once.
Broke copy protection with GPT 5.6 and has a forked Hatari that boots and runs Notator and Creator by emulating the dongle.
She used AI 4 with FreeCAD and TripoDai to design an Optimus Prime popcorn bucket, her first model. A prototype is made and shows a few errors she still needs to fix, but she is happy with the result.
Uses an AI-implemented forced-alignment technique to generate sync files for epub and audiobooks, aligning a 60 hour book in 20 minutes on his GPU.
He asks the AI Agent to caption a video in Palmier Pro the same way as the previous one, and it does it from what it remembers. If there is no voice transcript, it writes code to make the captions happen.
The AI helped clean up his dotfiles and add automation and tests, used to switch devices and identities.
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.