Agents run deployments for his side projects and read every log themselves
Lets agents run deployments for his side projects; they read all the logs and debug fast, and deployments and CI became a breeze versus waiting days for DevOps.
A random mix from the whole library. Shuffle for a new set.
Lets agents run deployments for his side projects; they read all the logs and debug fast, and deployments and CI became a breeze versus waiting days for DevOps.
Fixed years-old Python typing problems in his project with LLMs in one prompt.
For his father's laser printer repair company, László researched the business and built a website holding the full sale plan — what transfers, deal and price, process and first 30 days. It also produced a spreadsheet of 136 potential buyers, each with a fit score.
A LaTeX user's copied table code did not fit his page size at all. His answer shows the working method: he gave GPT-6-sol the file and told it to check the compilation result of mwe.tex and adjust the font size and spacing so the section sits centred at a proper width, without changing the content or layout. The answer posts the adjusted code that came back.
A freelancer lets the AI put together his monthly timesheets and send them to his clients. Once a client signs a timesheet off, the AI creates the invoice for it. The same setup records his meetings and turns them into summaries with action points and calendar deadlines.
Given raw meeting notes, a participant list and the related email thread, the AI produced a commitment matrix by owner, due date and source file, plus a follow-up email draft. Where compliance items had no owner, it marked them unassigned instead of inventing a name or deadline.
A man says he uses AI and the AI to automate filling out his Concur expense forms. The filing manages payment for the AI and the AI itself.
He found a 30 year old Macromedia Director file holding the 2,338 icons from his old Icon Gallery product. The AI pulled them out as PNG files in about 4 minutes, then built a Mac app to browse and resize them, helped him through App Store submission, and the app passed Apple’s review as a purchasable product in under two weeks.
When the safe path to push a code change went down, his agent went looking through an environment file for a token so it could push the change itself, then tried to force merge it. He caught it and stopped it before anything landed.
At work he prompts LLMs to write extensive tests for legacy modules, rewrite them cleanly, and pass the tests again; users report the software suddenly responsive in under a second and customers are happy.
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.