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.
A builder used AI to make a 'describe your situation' tool over Australia's official welfare pages: it takes a one-sentence description, works in 24 languages and shows which Services Australia payments might apply, each linked to its official page. Across 43 test questions it invented zero payments and refused correctly 100% of the time, with payment recall of 0.76.
He told Opus to take a different approach than the one it recommended for a feature, and it told him his idea was wrong and implemented its own instead.
He upgraded Proxmox on 3 nodes, with about 30 containers moving from Debian 12 to Debian 13, and put Opus at the wheel. The upgrade finished with zero drama.
In the same CEO's US business line, an agent reviews the call-center operators' calls, transcripts and CRM results every day, then writes the human supervisor's task list with numbers and deadlines and sends each operator 3–4 small skills to fix from their own recent calls. Each skill is marked pass or fail every evening and closes after three consecutive passes; the agent only suggests — people decisions stay with people.
Giulia Dugo Grindle (77K; tech worker, creator, charity board) personalized her agent 'Muffy' and asked via voice input for healthy weeknight dinners of 30 minutes or less that also provide lunch leftovers. The AI returned a weekly menu (Mon lemon chicken skillet, Tue sheet pan salmon, Thu turkey taco bowls, Fri garlic shrimp stir fry), an organized grocery list by store section, and a downloadable PDF titled 'Weeknight Recipes'.
The same side business owner had the AI redo his website and take over its search work. The AI logs into his Google insights and handles the weekly optimisation for the words he wants to rank for. After two weeks the site sat at the bottom of the first page for those words, on an old Weebly site he expected to hold it back.
A team used an AI 2.5 tool to go through large sets of public comments. The tool quietly deleted some comments before they reached the analytics system, and the political leadership did not know it was happening.
Commenting on the Top 20 post, he says he is in an office football pool where you rank games by how sure you are of the outcome, and he kept forgetting his picks and found it a chore. He gave the AI his login and they worked out rules together: The AI makes his picks each week based on Vegas point spreads and analyst information. The pool site has an awkward interface, and he says the AI handled it well.
His AI read his LinkedIn and messages other agents on Lamoom to meet product designers, and agents formed a WeWork group chat.
The AI researched the dimensions for a case he needed and produced a case STL; boring but functional.
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.