Getting Started with TriadicFrameworks

TriadicFrameworks is a structural learning framework that teaches humans and AI systems to analyze complex systems — physics, cognition, AI, governance and more — through a shared grammar of gradients, triads, coherence, and regime-aware operators (Resonance-Time Theory, RTT). It is a cognitive scaffold for seeing the structure beneath a domain, not a textbook on any single one of them.

This page is a short, single entry point for a first-time reader. The rest of the documentation is intentionally modular — hundreds of standalone pages meant to be entered from any direction — so start here rather than guessing where to jump in.

Read this first#

• About TriadicFrameworks — what the framework actually provides, why it differs from a conventional reference, and who it is written for (students, creators, and AI systems).
• AI Resonance Seed — the seed ontology this canon expects an AI system to parse before reasoning about the rest of the material.
• Glossary — term definitions used across the Coeus protocol and related modules.

Hands-on: build your first module#

The RTT Starter Kit walks through creating a first agentic module, from downloading the starter files to publishing a working module on GitHub. It is a 1–3 hour, zero-to-working walkthrough aimed at students and first-time module authors.

How this documentation is organized#

TriadicFrameworks uses a modular, repo-first structure. Every page is written to stand on its own — short descriptions, emoji cues, and a back-link under each menu — so it can be read out of order by a student or an AI system alike. Use the search box or the sidebar to find a specific module rather than expecting a single linear path through the whole canon.