A random mix from the whole library. Shuffle for a new set.
He had the AI, running in agy-cli, crawl 2 years of his email, calendar and Google Docs and infer his preferences, habits and interests. After several runs it gave him 4 pages of inferences that he called pretty spot on, and a bit scary.
His budget app and his bank balance were $50 apart. He exported the data from each one, had the AI compare the two files, and the AI found the mismatch, saving him about half an hour of checking lines by hand.
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.
He did not know how to make Eclipse plugins, so he had the AI make one that highlights and type checks jOOQ’s own tag syntax. It took a single prompt, and the plugin already works.
She has been building SurfAnnotate with AI and two colleagues, a free browser tool that runs on Neurodesk. It makes drawing regions on cortical surfaces a lot easier for researchers.
The same pro made a second the AI for quotes. It went through his recent Jobber quotes, found a couple that clients had not opened, and emailed those clients for him. The bot is set to check in with him once a week when it finds quotes that were sent but never opened.
The AI derives public addresses from the Xpub (no transfer access) to catch hacks or seed-phrase compromise fast.
A client needed a small design job that would have taken him hours. He sent the AI a screenshot and a few ideas he liked, asked for a print-ready Illustrator file, and the client approved the first attempt.
He had spent five months trying to get a refund from a Chinese peptide website, and his own reports to the seller never went through. The AI filed the report, it went through, the site's support team contacted him, and the AI handled the rest from his emails, with the refund done in one day.
An LLM crunched for 36 hours on a project he had wanted for 5 years; checked and ready to deploy, work he estimates would have taken him about 9 months.