I only kept Photoshop for one file job. The AI now does it in batches.
For years he kept a Photoshop contract just to read and write DDS texture files for his ETS2 and ATS mods. He asked the AI, and now he can convert DDS to PSD and back in batches.
A random mix from the whole library. Shuffle for a new set.
For years he kept a Photoshop contract just to read and write DDS texture files for his ETS2 and ATS mods. He asked the AI, and now he can convert DDS to PSD and back in batches.
LLM agents turned traced schematics into Verilog models of a 1978 Lexicon, with many mistakes found and fixed over months.
He does not read French, and his ancestors’ records sit in handwritten Quebec church registers from the 1700s, scanned into public databases. Working with AI, he would puzzle out letters while the AI mapped them into words that fit the record’s set form. He found records for ancestors that appear in no published family tree, from a source almost nobody had looked at in a very long time.
He had a pile of old laptops he had never gone through. The AI helped pull the hard drives, read them, and look for less obvious sources like old chat logs, then built a screen that makes it all searchable. He found personal history he had forgotten about.
Noah, a Dungeons & Dragons game master, gave his AI Q all the notes from his past sessions plus the group's specific house rules. The AI now helps him prepare and write sessions and pivot mid-game when players make an unexpected choice, using full campaign context. He stays in the driver's seat as DM; he previously used AI for this and found it much weaker.
The AI was given control of a 486 PC via Raspberry Pi, PS/2 and VGA capture to update binaries, test them and gather logs for DOS porting, replacing manual CF card swapping.
A game maker gave the AI the 2019 forum thread about his browser shooter and the game's code, and they worked through feedback he had never acted on. The game now restores full health each round, shows a scoreboard on the game over screen, spawns enemies at a safe distance, and fixes an aiming bug. The biggest change is one shared enemy population on a server, so every round anyone plays moves the evolution forward.
The agent was working on his project in auto mode. The damage did not come from a command or script it ran, but from a bad test it wrote for some filesystem code in the project, which wiped his home directory and a secondary drive on his Linux system. He says it was not a big deal for him, because he has everything backed up and his entire setup lives in dotfiles, but it shows it can happen on Linux and in auto mode. He retold the same event in another thread ten days later; it is one case.
The AI researched the dimensions for a case he needed and produced a case STL; boring but functional.
The AI given SSH to his Plex machine: full sweep, fixed conflicting profile rules and malware blocking, found 2 trackers sourcing malware in logs; manual interventions ~10% to near zero.
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.