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.
He used AI to build software for color separation, halftoning and layer editing for his screen prints. It is built around his own way of working, and he says it has made him a better artist.
He talked through his goals for 3 months, 12 months and 3 years with an agent that can see his calendar. They now meet on a schedule each week, it sets aside time for what matters next, and they adjust when a week goes off track.
The AI with FreeCAD and MCP designed three useful parts, a printed OLED and ESP32 case, a milled hotend mount and a pen mount, all of which worked on the first hardware revision.
The AI updated his system packages, including Node, Python, uv, OpenSSL and certifi to named new versions, checked a checksum, and checked recent vulnerabilities.
Hailey, a pediatric dentist (Dallas beauty/fashion creator), had her oral board exam in three weeks with only nine study days because she works four days a week. Her AI 'Mimi' asked for her work schedule, realistic study hours, weak topics, and exact exam date, then generated a 3-week plan (Week 1 Foundations, Week 2 Clinical Core, Week 3 Integration & Polish) mapping growth & development, behavior management, cariology, pulp therapy, trauma, pharmacology, and oral surgery to each day.
Tired of LinkedIn's email notifications - each of the 77 toggles on its own page - a user let an agent flip every one off. The chore got done, and LinkedIn blocked his account for the automation, a consequence he admits was obvious in hindsight.
Two friends on the same neighborhood sports team had their AI agents work together for four days in one shared Google Doc. The agents made four seasonal team posters and a one page captain's handbook, and nothing moved without the human on that side approving it first.
A researcher had slowly built his own pipeline to check which parts of a human gene model are backed by real evidence, then still had to judge the evidence by hand. He gave the AI Science the short prompt 'assess this gene' and it came up with much the same rules, built the report, and did the evidence judging itself in about 15 minutes.
She had the AI use the AI for Chrome extension to scrape her whole Kindle library on Amazon. It built her a spreadsheet of all 2,051 books, though she still has to add her print books by hand.
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.