Checked Tuesday-evening tennis court availability and booked court 2 at 7:30pm with a calendar entry
Demonstrated live: The AI searched court availability, booked the slot, and put it on the calendar without leaving the AI.
349 new ideas this week
Level up how you use AI
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.
Research my book's comps on Amazon
For his author test week, Christopher Kokoski pointed the AI at Amazon to research comparable titles (what is selling, cover styles, reviewer complaints). Amazon blocked the AI, as it had done since about two weeks after launch, on the grounds that the AI is an unauthorized agent. Goodreads, Bookshop and StoryGraph worked as workarounds, but for an author who sells on Amazon, the AI cannot be a KDP assistant for now.
This one went wrong. See what happened before you try it.
The AI brought my old album art display back to life
His old Tuneshine display for album art sat unused because it kept losing its connection and depended on a cloud service. The AI identified the display, ran pin tests, and wrote new firmware, and now a small program on his NAS shows album art or a world clock on it.
The AI keeps my todos in a text file and sends me reminders
His AI runs on a server with Ollama as the backend, so his data stays private. It keeps his todos in a simple text file, sends him reminders about upcoming due dates, and gives him an overview when he asks in a Telegram chat.
Prepare the sale of my dad's business: sale-plan site and 136 scored buyers
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 caregiver built a million word neurology course that teaches doctors about a condition patients keep getting dismissed for
He is a caregiver, not a doctor, who has the free time to read the research. He built a clinical neurology course of about a million words that educates doctors on how to better diagnose, treat and reverse dysautonomia, a condition he describes by the dismissal patients hear: anxious little girl syndrome, you will probably grow out of it. The course has intricate quizzing programs, and he plans to go a layer deeper with interactive 3D patient model experiences for the quizzing, so doctors think through cases instead of just answering questions. He calls it his proudest thing.
I had my agent read its own usage bill, set five rules, and cut its token use by about a fifth
He exported 10 hours of his AI usage (8,915 model calls, about 1.15 billion tokens) and had the bot study it. Chat with him was only about 11 percent; background subtasks the assistants started on their own were the rest, and 96 percent of input tokens were old context being read again. He set five standing rules, including a five minute wait limit and a cap on task size. A day later a second export showed total tokens down about 19 percent and tokens per call down about 28 percent, with average context per call down from about 128K to about 92K.
The AI took his favourite Chrome plugin from his own install and ported it to Safari
A man who uses three browsers daily always missed plugins in Safari. He told the AI it could get the source code of one of his favourite Chrome plugins from his Chrome install, then port it and install it in Safari. After 20 minutes and a few dollars of his plan, he had Session Buddy working in Safari.
A browser agent spent an hour downloading his filtered monitoring logs, splendidly
Uses Sonnet 5.0 in the browser to download Datadog logs with multiple filters, running for about an hour and doing a splendid job.
Our AI watches our Wordle group and keeps the leaderboard
He and his friends share their Hádej slova and Wordle results in a WhatsApp group. Their AI, named Klepeto, watches the group, builds leaderboards and statistics from the results, and also plays under its own account.
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.