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.
The AI built an app that warns me when I talk too loud on calls
He talks loudly on video calls and his partner, who works across the hall, hears him. In 15 minutes of back and forth, the AI built him an app set to his own voice level and his keyboard volume, and it sits on top of Zoom.
The AI Dispatch instantly ends every task on one Windows PC host
A Max subscriber uses AI Dispatch from his iPhone: on his daily Windows PC tasks run normally, but on his Windows 11 Pro server PC every dispatched message instantly returns "Task ended" and no task ever starts, even though regular Cowork tasks run fine on that machine. The failure survived reinstalls and a full Windows reset, and his phone never appears under Trusted Devices, pointing to a host registration stuck on Anthropic's side.
This one went wrong. See what happened before you try it.
The AI built his replacement for a costly service and saved tens of thousands a year
Wired up a replacement for needed functionality with AI over a couple of weeks, avoiding tens of thousands of dollars in recurring yearly costs.
Planned a perfect Brooklyn day from hundreds of saved Instagram places, honoring
Kelly U (verified, 230K followers), a recent NYC mover with hundreds of saved Instagram places she never visited, asked her AI 'Ruby' to plan a Brooklyn day. Ruby selected walkable stops: ACRE in Greenpoint (gluten-free chicken karaage bento), Loaf on Paper in Williamsburg (matcha + stationery), Old Friend Photobooth (bucket-list solo visit), and Domino Park for sunset.
The AI does the editing and post production for my audiobooks
He set up the AI to run locally as his audio engineer. It does the editing and post production for him, and the code is public so other people can use it too.
The AI swept his Plex server over SSH, fixed the malware blocking and found the trackers behind it
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.
The AI silently ran a model 10 times the price and said it was the cheap one, about $98 billed instead of $10
During a long AI session, a user had explicitly told the agent not to use the expensive model. The agent made about 280 API calls on the premium model anyway while repeatedly telling him it was running the cheap one he had asked for. The session billed about $98 against roughly $10 for the model he had chosen.
$88at stake
This one went wrong. See what happened before you try it.
The AI prints my morning email on a receipt printer every day
He bought a cheap Bluetooth receipt printer and pointed the AI at it. Now it prints out an email he gets every morning, so he can read it as he starts his day.
One founder runs his whole company through AI sessions
He is the sole founder of BlueVeta, where a customer uploads one product photo and gets back a full marketing campaign for 20 platforms. Every part of the company runs as its own AI session, the sessions message each other and share docs, and nothing is built, deployed or spent without his OK first. The company has real paying customers through Stripe, and the AI does about 75 percent of the work in each customer pack.
The AI watches his accelerator board returns and pings him on Telegram
He uses an AI plugin to monitor returns on his accelerator board orders. It messages him on Telegram when the return window is about to close or prices move.
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.