{"id":280,"date":"2025-09-30T13:50:20","date_gmt":"2025-09-30T03:50:20","guid":{"rendered":"https:\/\/akickintheteeth.com\/blog\/?p=280"},"modified":"2025-09-30T13:50:20","modified_gmt":"2025-09-30T03:50:20","slug":"hello-world-2","status":"publish","type":"post","link":"https:\/\/akickintheteeth.com\/blog\/?p=280","title":{"rendered":"Hello World"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

I’ve been busy!<\/p>\n\n\n\n

I’ve made an LLM-driven web browser. I’ve named it Zenbot.  It’s just a mathematical word-generator with a set of word-tools, let loose on the internet. It’s sort of built to translate commands into actions, directly, using the Python coding language, which I’ve noticed is basically English.<\/p>\n\n\n\n

I’ve described it like this: “Synchronous communication becomes asynchronous communication in an elegant double-helix of English language-powered Python interpretation driven by you, the user.” as I noticed two types of Python functions, sync and async, could be utilised together when an LLM was involved in the mix.<\/p>\n\n\n\n

It’s sort of like if a whole restaurant shared one brain, which was passed from customer to waiter to kitchen and back again, and at the end of the chain a customer has their order. If you ask Zenbot to ‘search for pizza’, it will search for pizza.<\/p>\n\n\n\n

There are, of course, lots of advantages to doing it this way, which I focused on, like:<\/p>\n\n\n\n