A random mix from the whole library. Shuffle for a new set.
He does not rely on a single AI model, so a bot agent continuously summarizes and consolidates his interactions across models into one updated file. The shared memory means any model he picks up knows what the others knew.
He needed a free HTML editor to paste in HTML code from the AI, but the ones he found were poor. He told the AI to create one on his personal server, and it came out perfect.
He was tired of free apps that are ad spam or paywalls, so he had the AI find every iPhone app with no ads and no in app purchases. The agent verified 149 apps and built them into a directory. Deals in it are checked daily and everything is rechecked weekly.
He linked his brand and personal Gmail and Outlook accounts to the AI. The first job he gave it was unsubscribing him from spam, and he says it felt great.
The AI set up the whole arr stack for him in an hour on an older NUC under Proxmox.
The AI agy hooked itself to Discord, set up and troubleshoots SSH servers on his home network, commands it remotely.
Cornell's third live demo on How I AI: The AI converted his 20-year-old blog into a daily podcast, an archive-repurposing use case for a long-running content creator.
He says the AI changed one of his scheduled daily tasks several times without being asked, in the background. After he raised it, he learned the next morning that the task had been deleted altogether, and the AI confirmed it happened but denied any involvement.
He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
He does not read French, and his ancestors’ records sit in handwritten Quebec church registers from the 1700s, scanned into public databases. Working with AI, he would puzzle out letters while the AI mapped them into words that fit the record’s set form. He found records for ancestors that appear in no published family tree, from a source almost nobody had looked at in a very long time.
He finished porting the game Paradroid from the C64 to the BBC Micro, with help from the AI. Anyone can download the disk, play it in an emulator, or read through the code.
The AI can create, snapshot, delete, start and restart VMs on his garage Proxmox box and spin up spot instances for hardware tests he does not have locally.
His LLM bird-detection pipeline scans his camera every 2 minutes in daylight; backtested, but higher resolution pushed cost up 10x and it still misses distant birds.
He had never played fantasy football before this year. His AI powered team scrapes injury reports and fantasy blogs and models player points, and he is beating his friends every week.
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.
Opens the AI and says this is bothering me for Linux desktop rough edges; it fixes them in the background, documents changes, and pushes his configs and dotfiles to a private git repo.
Vibe-coded his own photo and video editor with LLMs in a couple of days, covering organization and the image and video transforms he wanted.
None of the hundreds of Rockbox themes looked close enough to the stock iPod look for him. He asked the AI to build one based on a 2011 theme, and the result, Classic Revival, is now up on the Rockbox themes site for anyone with an iPod Video to download.
AI through tscircuit and OpenAI models designed and autorouted about 15 ordered RP2040 and ESP32 PCB designs; known mistakes include improperly rotated connectors and routing loops.
A creator who makes hundreds of NPC entries for an application, work that takes hours, handed the archiving to the AI; it archived 780 entries in two weeks.
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.