A random mix from the whole library. Shuffle for a new set.
A defence lawyer built two free the AI for her own practice. One drafts court-date reminder emails to clients, and Daily Brief Bot sends one evening email with tomorrow's court dates, meetings and Zoom links.
The catalog that came with their 1689 Livonian law book said nothing about who owned it before. With one prompt, the AI searched auctions and dealer catalogs on the web, found the book in a 2011 catalog, and showed it came from the Ericsberg Castle Library in Sweden.
He runs a website business where the AI has SSH access to each site on his own servers, with about 15 skills that each act like a staff role covering revenue, content, images, rules and checks, plus APIs for revenue sources, Google Search Console and Bing Webmaster Tools. Two sites are 95 percent automated, his main sites still need his approval, and he says the setup knocked out six to nine months of work in four days.
His order was doubled, and the company support bot closed his ticket. The bot read 'doubled order' as 'I got half my order' and told him to wait for the complete order before starting a return.
The AI writes daily blog post drafts for his app and checks draft approval status every 2 hours, pinging only when something changes.
His company is pushing staff to use AI. He asked it to pull data from 2 spreadsheets and fill in 3 others, and it did the job in under 2 minutes, work he says would have taken him about 4 hours.
Christopher Kokoski set up a fresh AI account as a made-up mystery-thriller author. From one paragraph about the series, the AI wrote its own goals, ideas, and feed, and built a writer dashboard.
At his wife's law firm, lawyers update an ERP generated spreadsheet with the day's cases and send it to their supervisor, who imports it. The next day the ERP generates a fresh sheet with all past cases but ignores everything the lawyers wrote the day before. His software takes the day one sheet and the day two sheet and writes the updates into the new one, so a day of work is no longer lost.
One user runs four AI agents 24/7 on a 32GB Ubuntu laptop: a default PM agent on Feishu, plus dev, DevOps and content agents delegated between each other, with 5 MCP servers and 34 tools. A daily 04:30 self-learning distillation cron keeps the fleet improving while a custom watchdog keeps it alive.
Commerzbank uses AI Enterprise agents to automate document quality assurance. Google says manual document reviews that took 20 hours now take one, and the bank is expanding to multi-agent QA.
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.