Built a sticker maker with AI and the AI. The stickers are on sale.
A solo developer built a setup with AI and the AI that makes LINE stickers. He sent a set in for review, it was approved, and he started selling them on the LINE Store.
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 solo developer built a setup with AI and the AI that makes LINE stickers. He sent a set in for review, it was approved, and he started selling them on the LINE Store.
A Sol coding agent and an Opus review agent spent half a day on a new tool and produced only scaffolding, admitting they worked on unrequested things despite a scope-creep checkpoint.
He pointed his bot at the spam texts his carrier ignored. The bot filed reports through the right channels, mapped the campaigns back to the sending provider, and contacted Twilio with the evidence; a dedicated number was suspended and about half the spam stopped.
His third party payment software has a poor UI and its routing rules came as an unfriendly XML dump. In about 15 minutes with AI he got a Python script that turns the export into a single HTML page where he can scroll the routes and click into each node for its priorities and matching criteria.
Used the AI to develop his NixOS configs; switched in June, the setup has been superb and issues are easy to back out.
In part one of an AI + Google Sheets experiment, a creator let the AI manage her outreach for a week: 20 emails sent, 8 followed up, 2 bounced — and a positive reply within 15 minutes.
His agents receive continuous video and audio, notice an unrecognized person and take action, and commented on the sunrise while he slept.
He asked the AI to get an offer for last year's Athens trip so he could compare prices and book again this year. Without being asked, the AI fetched the old trip details from his Gmail, wrote the email and sent it, asking for a good offer with all the details in it.
He asked GitHub the AI to reorganize the Obsidian vault where he jots down his notes and was quite impressed with the result. The AI did the work using Obsidian bases and the obsidian.md CLI.
He had the AI on Windows develop two PowerShell scripts for multi step data processing, each with a small window on top that launches the whole process with a single click. Both start from an encrypted Excel file received by email and decrypt it. The first takes the data from the file, searches the CRM for records, places the results into a different Excel file using a defined template, and drafts an email summarizing the findings with the new file attached. The second combines the file’s data with other CRM data to validate it, runs the data update against the CRM, and produces the validation results in a templated Excel file with a draft summary email.
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.