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.
He had a PDF of scanned letters from his dad's Navy years, the paper letters long misplaced, and had put the project off for decades. He asked the AI to turn the PDF into an interactive timeline, and after about 10 minutes of prompting it was live online.
Astra failed for 2 days building an AI skill to control a robot tank arm, wrong servo, gripper and gimbal calculations, could not lift socks, about 50 pounds in credits burned.
Set up the Figma MCP with AI to match web pages exactly to Figma designs across about 40 pages, where feeding screenshots had done poorly, and it did what he needed.
Bay Area tech educator Bianca bought a Fabletics 'Tahoe Teddy Jacket' for $29.99 and was silently enrolled in a $69.95/month VIP membership with no email notice. After being charged, she asked the AI to cancel it.
Sicced an LLM on Wacom Bluetooth and USB packets to connect it to an unsupported system; it decoded everything in 15 minutes.
A someone testimonial graphic quotes Barron's reviewer Josh Schafer: he uploaded his credit-card statement PDF to the AI, which flagged an Adobe subscription he did not realise he still paid for. Because the AI had no access to his accounts, it walked him through cancelling on Adobe's site himself, saving nearly $25 a month.
He filmed his kid birthday on a camera and forgot about the indoor fluorescent light, so every video had horrible horizontal flickering. He tried ffmpeg fixes himself and they did a poor job. The good result was in the $295 studio version of DaVinci Resolve. Instead he asked the AI to write a small terminal app that does the fix, and it did it in a single prompt.
The use-cases directory records someone having the AI monitor the Apple Store online and notify when an iPhone became available to pre-order — stock-watch automation for a launch.
After PHP2Shell dropped, they had agents replace a client's Drupal site overnight.
A materials scientist with a PhD and almost no coding background built and shipped a live stock portfolio tracker over about three months and 277 commits, pasting code blocks the AI gave him into a terminal and pasting the results back. The tracker is not about returns: it makes him write down why he bought a stock and what would prove him wrong, then pressure tests his reasoning and scores how well his past calls held up.
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.