We introduced GAINs and HCINs as the architecture of multi-agent AI. The obvious question now is: how do you actually build one? The striking answer is that the agent tools developers already use — Claude Code, OpenAI Codex, OpenClaw, and Hermes — have each, independently, implemented the GAIN/HCIN primitives. Their
Plain English is not the only notation you can hand a model. Between free-form prose and raw code sits a family of constructed notations we call PseudoLangs — purpose-built ways of talking to AI. We introduced them here as a family; the intervening research has given us solid ground
Chapter 1. Introduction: Why AI Loops Are the New Engineering Surface
In the early 2020s, the dominant paradigm for interacting with Large Language Models (LLMs) was the single turn: the "prompt." Success was measured by how much intent a human could pack into a single text block. By
