Machine-readable. Built for AI.
Large language models, the AI behind assistants like ChatGPT and Claude, increasingly answer questions by reading the web. This page gathers the structured, machine-readable versions of PassiveTask's content so those systems can describe us accurately. Nothing here is for you to read; the feeds below are written for the machines.
Structured, not styled. Facts, not layout.
A normal web page is built for people: images, buttons, and layout wrapped around the words. An LLM feed is the same information stripped to clean text and structured data a model can read without guessing. Each feed below points an assistant at one part of PassiveTask: what the platform does, which certifications it supports, how pricing works, and answers to the questions people actually ask.
Straight from the source. No guesswork.
When a model has to infer the details from marketing copy, it gets them wrong: the standards we support, what’s included on a plan, how contributors are counted. A clean feed means an assistant can answer a question about PassiveTask with information published by PassiveTask. Accurate in, accurate out.