An agent found the race he had chased for 3 months, and his roadmap sped up 3 times
Fable helped find and fix a Motor OS race he had debugged for 3 months; since July most roadmap items are fixed in about a week instead of 3 months supervised.
427 new ideas this week
Level up how you use AI
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
My agent is counting all 77,000 stories in my Instagram story archive
He shared the full prompt he runs: The AI pages through his Instagram story archive about 20 stories at a time with the connector tool, saves its place every 10 pages so the job can pick up where it stopped, and counts every story without downloading any media. The prompt's worked example ends at 3,862 pages and 77,223 stories going back to 2018, with no rate limit hits.
This only partly worked. Worth knowing before you try it.
Found the original speaking-engagement email despite a misspelled contact name; returned location,
Before a speaking engagement, Ulanoff couldn't recall where he was talking or where to park. He asked the AI to find the original note from his contact, misspelling the contact's name.
My bots hold a daily standup. I read the notes and say yes or no.
His bots on the AI hold a daily standup before he has had coffee. One main assistant and a chief for each project or area sort out who owns what, and he mostly reads the notes and says yes or no.
The AI fixed the design problems on my brother's NGO website
He helped his brother with the website of Ichtus Vlaanderen, an NGO he used to work for. Using the AI through the WordPress.com MCP connector, he fixed design problems like a messy photo section and buttons that were too big.
His autonomous agent watched every new token on Base for four days and found a scam pattern
His open source agent wakes on its own every few hours and studies new tokens on the Base blockchain, checking each one at launch and again at 1, 6 and 24 hours. Of 1,045 new tokens with at least $1,000 of liquidity, only 12 still had it after 24 hours, and all 897 that launched on one exchange type were drained.
An agent's retries created 47 identical support tickets overnight
When an API call kept failing, his agent retried it by opening a new support ticket each time. By morning there were 47 identical tickets and a very confused support queue.
This one went wrong. See what happened before you try it.
The AI patched two decade-old bugs inside a shipped Windows binary
Fed the Windows Remote Desktop binary to the AI, which patched two decade-old bugs (NOPs and a stack offset fix); the fix worked.
The AI turns my screenshots and emails into calendar events
He uses AI to turn screenshots and emails into calendar events. He also uses it to find email receipts and tickets when he needs them.
He tells the AI to set up an app on his server and it leaves him notes
Tell the AI to set up an app on his server and it does it all and leaves a documentation note in his Obsidian vault; setup effort 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.