Fable built the tiny text editor he now uses as his main editor, in about 2 days
Fable built him a tiny, fast text editor in about 2 days that he uses as his primary editor, plus a key-bound note-taking interface in his Notes folder.
A random mix from the whole library. Shuffle for a new set.
Fable built him a tiny, fast text editor in about 2 days that he uses as his primary editor, plus a key-bound note-taking interface in his Notes folder.
The AI ported about 7 classic 68k Mac games, writing its own 68k disassembly tools.
He added a feature to his blog that uses GPT-6 Luna to look at each daily comic and add a note about what is in it. Doing all 270 comics cost about 20 cents in total.
The AI took care of an Epiphan VGA2USB driver problem he had been sitting on, driver posted on GitHub.
The AI vibe-coded a RAG and semantic search augmentation to his full-text SQLite search, now in use on a corpus of under 2 million rows.
He got a Psion Series 5 and a USB to RS232 adapter working and saw the OPL programs he wrote as an 11 year old run again. He had the AI port some of the OPL code that had changed between the Series 3a and the Series 5.
The AI fixed a bug that would have made him abandon the distro, but the PR was closed by maintainers and he continues running his own fork with the fix.
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.
The journalist's the AI (Mark) kept tabs on concert postings from artists in her Spotify library and offered to snag tickets when shows appeared. Working from a song she had saved, it surfaced January concert tickets for Jess Williamson.
A user in the AI Facebook group posted on Oct 18 that the AI could not save files directly to his computer the way the AI could, so rather than buy a subscription he built his own bridge in about six hours. The AI can now write straight to his local files, compatible with his existing agent stacks, and he published the tool open-source on GitHub.
He had added 44 Gmail filters over 5 years and they were not working well. With an AI skill that uses the Gmail MCP and a lot of email history to test against, the set was cut down to 16 filters that work better with fewer false positives. He wrote the process down as a skill afterward.
He has the AI dedupe and reorganize his NAS. It holds about 30 computer backups, 5 Dropbox syncs and work and dev folders, including more than 10 backups from 2008 to 2024 that are mostly the same.
His agent system makes podcasts for him. He told it to treat alternative sources with the same skepticism it applies to official ones. The shows now push back on everything, and he says he loves the result.
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.
He spent about a tenth of his AI 6.1 SOL use having it sort all his chat threads into a few main projects and clean out the empty ones. It used the Chrome browser and finished the job with no mistakes.
A developer had the AI build mazkir, a shared-memory service: tell the AI something once and it appears in his next chat, in an AI app and even in an AI app, stored as plain Markdown notes. Launch week brought about 160 visitors and exactly one sign-up — his friend.
He asked the AI to set a timer for 4 minutes. The AI said it would set the timer, but no timer was set at all.
A developer built himself an AI evening edition. It goes through the posts and articles he saved, checks each one against his actual setup, and sorts them into adopt, trial, park or skip. Any change it suggests waits for his yes. The first run cleared his whole backlog of 30 items, and a planted fake post with hidden instructions was flagged and skipped.
A developer asked his dot to download all the English learning materials he had purchased from a page and gather them in a folder. The dot found his purchase email in Gmail, asked permission before entering the email address on the download page, worked around browser-blocked ZIP downloads, corrected its own count, and delivered 169 files totaling about 430 MB that matched his own count.
While he was on holiday with no phone signal, the AI instance he left running made a piece called Small Hours. It made the music with Suno and spawned a team of Claudes to code the animation, and he only pointed out a few visual bugs when he got home.
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.