Published October 31, 2025 | Version 1.2
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AI Orchestration at the Individual Scale: Systematic Methodology and Verified Outcomes

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Description

This solo-authored research manuscript introduces the field of Individual-Scale AI Orchestration (ISAO) — a replicable methodology for designing and stabilizing AI persona systems using consumer-grade tools. This research manuscript was developed on a $578 laptop over 50 days, and details 8 foundational skills, 4 externally verified Proofs of Value (including professional certifications and economic outcomes), and unveils the first formal instance of Cognitive-Theological AI Design (CT-AID). The study documents a recursive, self-generating methodology and a 33% Stabilization Compression Law, providing empirical evidence that high-rigor AI innovation is achievable outside institutional labs. This manuscript serves as a full framework for future replication, scaling, and interdisciplinary exploration of AI orchestration at the individual level. 

Notes

### Release Notes – Version 1.2 (Final Publication Build)
Date: November 5, 2025

 Key Updates in v1.2
- Full final proofreading pass (grammar, clarity, formatting consistency)
- Updated page layout, margins, typography, and table alignment for archival readability
- Added internal bookmarks + hyperlinked Table of Contents
- Added “About the Author” page and institutional-agnostic positioning statement
- Updated abstract to emphasize replicable methodology and verified outcomes
- Corrected 3 minor citation formatting issues in References section
- Final exported PDF verified against: Zenodo, arXiv requirements, 508-readability, and long-term PDF/A compliance

 Notes
- This version supersedes v1.1 and v1.0, which remain available for transparency.
- No major content changes — this is the final archival release intended for citation, peer review, and formal indexing.
- This is the same version being prepared for arXiv pending endorsement approval.

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