Instruction-Layer Specification for Deterministic AI Behavioral Instantiation: A Linguistic Framework for Computational Agency Control
Abstract
This synthesis outlines advanced prompt engineering techniques for AI behavioral architecture, emphasizing iterative refinement, metaprompting, guardrailing, structured output, and treating prompts as code. These principles aim to enhance AI alignment, control, and intellectual property protection, while promoting a rigorous scientific approach to AI interaction and integration across various domains. The document also details a project manifest for developing a comprehensive book on the subject, alongside strategies for protecting intellectual property through copyright, trade secrets, and patents.
Fields of Study & Subjects
Artificial Intelligence Applications
Natural Language Processing Techniques
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 21 January 2026
- Language
- EN