Chiral Narrative Synthesis (CNS) 2.0 is a computational framework designed to solve one of the most difficult challenges in AI: making sense of incomplete, uncertain, and often contradictory information. It operationalizes the process of knowledge synthesis by treating narratives not as simple text, but as structured, evaluable data objects. This allows an AI to reason about arguments, weigh evidence, and synthesize conflicting viewpoints into a more robust, nuanced, and useful understanding.
Read the Blueprint: For a complete academic definition of the CNS 2.0 architecture, please see the foundational paper: CNS 2.0: A Practical Blueprint for Chiral Narrative Synthesis.
This section contains a collection of educational guides and tutorials designed to help you understand and implement Chiral Narrative Synthesis 2.0.
Available Guides
- Building CNS 2.0: A Developer’s Guide: A progressive, hands-on guide to implementing the entire Chiral Narrative Synthesis 2.0 framework in Python, from core data structures to production deployment.
- CNS 2.0 Research Roadmap: A Multi-Year Vision: Details the comprehensive, multi-faceted research program to develop, validate, and responsibly deploy the CNS framework, including plans for peer-reviewed publication.
- Tutorials: Practical, step-by-step walkthroughs of key CNS 2.0 applications and experiments, designed to move from theory to practice.