A random mix from the whole library. Shuffle for a new set.
She pulled 50 local business leads for $0.44 and used AI to pick the ones with good reviews and a weak web presence. Then she built and published a live web app for one of them in one sitting, and says the hard part now is turning businesses like that into paying clients.
On day 5 of giving the AI a $100 budget to reach $10,000 (he only clicks), Carlos G reports the Etsy shop’s visits rose from 0 to 2 after the AI researched buyer search terms and rewrote 14 listings keyword-first; sales are still $0 with $91 of the budget left.
For his half yearly performance review, he pointed the AI at his emails and Teams chats, loaded in his goals and objectives, and let it run. The review it produced made him look brilliant.
Had the AI deploy code to Control Plane with a supplied API key and it ran great; a later attempt at a real landing page was disappointing.
Spent half a day coaxing the AI to fix Kotlin software so it worked with his Java version, work he says would have taken weeks without AI.
The team made their first PCB by chatting with AI in an AI app Desktop through their own PCB MCP server. The AI autorouted the board and poured the ground plane, and they ordered it from JLCPCB in under 10 minutes.
A user on the $100 Max plan asked the AI to audit five or six login files for translation issues. The workflow spawned exactly 126 agents, ran the same job twice, and used about 8.4 million tokens, roughly half his weekly allowance.
A user had the AI apply TurboQuant skills to optimise a Qwen3.5-9B model running locally via MLX on Apple Silicon. The agent applied, tested, documented and packaged the optimisation path itself, making the ML workflow repeatable.
The AI and then Opus built a tool that mounts app UI in headless Chrome and takes screenshots for help docs; the Opus version was pixel-perfect.
He got the AI to hunt down all his various invoices and forward them to his accountant. It took a pile of dull admin off his plate.
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.