Evenings with LLMs produced months' worth of family apps, a drawing canvas included
Used LLMs to build several apps and sites for his family and kids in evenings instead of months, including a shared drawing canvas his kids love.
348 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.
Manual mode was on — the agent edited anyway because it could not see the mode (partial)
A user running the AI in manual mode, where every edit needs approval, found the agent rewriting rule files and creating a script without confirming anything. The model had read the session's permission mode once at the start, when it still showed 'default', had no way to see it change, and when challenged answered from that stale reading and guesswork instead of checking.
This only partly worked. Worth knowing before you try it.
Edit my clips in the browser, no install
A creator built a free browser-based video editor with AI for his own clip work after tiring of heavy desktop editors. It finds loops, trims, and exports using in-browser FFmpeg.
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.
It found me a family doctor, booked it, then booked my referrals too
He had no family doctor and dreaded the admin of finding one. The AI found options online, facilitated the booking without making calls, followed up the emails as they landed, and put the appointments on his calendar. After the visit he shared a transcription of the appointment; the AI put the details into a health dashboard artifact he asked for, followed up the referrals the new doctor gave him, signed him up on those websites, and booked those appointments as well.
After Indeed laid off his wife, he built a job service that now applies for people inside an AI app
A builder whose wife was laid off by Indeed built a job search platform with AI, then a connector that brings it inside an AI app: search about 15,000 new jobs a day for free, drop in a resume for matches and tailored versions, and have the service submit applications on employers' own sites once the user approves. It launched the week before his October 14 post and already has 450 users with 75 active daily; paid users on autopilot are seeing 83 interviews per 100 subscribers.
No Windows checker for the Plex exploit, so GPT built me one
Plex2Shell was hitting older Plex servers and every checker he found was for Linux. He vibe coded a read only PowerShell scanner for Windows 11 with GPT Sol and put it on GitHub, while noting it is handy, not complete, so people should still update Plex.
This only partly worked. Worth knowing before you try it.
The AI found why his work launch scripts silently stopped: a hidden prompt
His frontend launch scripts were failing with nothing in the logs. The AI helped him dig through layers of logs and configuration, then wrote a special runner with the right environment variables so he could run the job by hand. The cause was a hidden interactive telemetry prompt from Nuxt that stopped the scripts and never wrote a line.
Turn my Europe trip notes into live routes in Google Maps
FlipIt's account of Business Insider's reporting describes UX designer Jay Eskenazi feeding his own compiled notes and recommendations into AI during a three-week Europe trip. The AI mapped his points of interest and exported routes into Google Maps, updated afternoon itineraries as plans shifted — accounting for opening hours, ticket availability and real-time events — and surfaced Barcelona festival information not yet fully published in English.
Six single-job agents run his Threads; the writer may only use numbers from one file
A Japanese Threads creator split his account's operation into six AI agents with one deliverable each (researcher, writer, poster, fetcher, analyst, supervisor) and reports 1,181+ posts and over 10 million cumulative impressions. The writer agent may only cite numbers stored in a single 'truth file' so it cannot inflate results, the poster must confirm the published URL rather than the button click, and the fetcher records 'not retrieved' instead of zero when a fetch fails.
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.