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  • Tokenomics is not Economics The Digital Transformation
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 1
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 2
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 3
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 4 Pipes to Platforms
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 4
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 5
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 5
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 6
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 7
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 7 Healthcare
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 8
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 9
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 10
    • Chapter 10 Tokenomics is not Economics – Wisps and why they were made illegal
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 11
    • Tokenomics is not Economics – Digital CX -The Digital Transformation Chapter 12
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Technical White Papers

Dereticular Main Repository for Technical White Papers

Technical White Papers

Selected Dereticular Staff Produced Technical White Papers as of 8 -15-2025, follow:

Mandate: A Multi-Agent Collaboration Framework Powered by Magick.AI

Developed by Magick.AI, December 2, 2024

Abstract

Mandate, powered by Magick.AI, is an advanced framework designed to orchestrate multi-agent workflows, resolve conflicts, and adaptively manage tasks in collaborative AI ecosystems. Built upon the Magick.AI architecture, Mandate leverages the Context Bridge, dynamic memory systems, and multi-agent collaboration tools to ensure seamless execution and resolution across distributed agents. This paper outlines the core architecture, agent interactions, and conflict resolution mechanisms while demonstrating how Magick.AI’s tools transform traditional task orchestration into an adaptive and intelligent system.

By Josh Banks

Mandate: A Multi-Agent Collaboration Framework Powered by Magick.AI

Carbon-Consuming Circular Economies (CCCE) V3

Carbon-consuming circular Economies (CCCE) propose a community-oriented paradigm with a transformative approach to green energy production and rural economic development. Primarily integrating advanced off-the-shelf technologies, advanced sustainable agriculture, and state-of-the-art gasification practices.

Carbon-consuming circular Economies (CCCE) support resilient, self-sufficient campuses that actively, and verifiably, reduce atmospheric carbon while promoting economic and community growth.

By Michael Noel and Ash Aly

Carbon-Consuming Circular Economies (CCCE) V3

Will AI Infrastructure Help Enhance Healthcare Outcomes?  – Enabling Transparent Privacy in Healthcare

Meeting the growing demand for improved outcomes, better efficiency, lower costs, and more patient-centered care is the ultimate objective for the healthcare industry.

The increasingly complex and technologically driven Healthcare environment is a multifaceted response to this demand.

For decades, this Healthcare System has been adding and accruing complexity, increasing costs, obfuscating results for providers and Patients, and insulating payor networks.

Today, the risks are no longer just about improving outcomes, but also about enhancing the quality of life, reducing morbidity, promoting faster recovery, and preventing disease and its progression.

As Patients are becoming more informed and engaged in their healthcare decisions. They are beginning to expect transparency, convenience, personalized care, and a seamless Patient experience. This drives the need for more efficient scheduling, communication, access to information, and streamlined patient journeys

By Michael Noel Josh Banks, and Ash Aly

Will AI Infrastructure Help Enhance Healthcare Outcomes?  – Enabling Transparent Privacy in Healthcare

Strategic Analysis of Digital and Blockchain-Based Election Systems for Market Entry and Funding

The Federal Regulatory and Certification Gauntlet: Navigating VVSG 2.0

For any new entrant, particularly one developing a novel digital or blockchain-based voting system, a deep and functional understanding of this regulatory gauntlet is the absolute prerequisite for both securing funding and achieving commercial viability.

The central challenge is not merely to build a technologically superior product, but to build a product that is demonstrably compliant with the stringent, non-negotiable standards that define the market.

Failure to align a development roadmap with these standards from day one will render any technology, no matter how innovative, commercially DOA in the public election industry.

By Michael Noel

Strategic Analysis of Digital and Blockchain-Based Election Systems for Market Entry and Funding

Powering Uganda’s Future: The Untapped Potential of Hemp, Plasma Gasification, AI, and Decentralized Infrastructure (DePIN)

Uganda stands at the crossroads of an industrial and digital revolution. By integrating cutting-edge technologies such as plasma gasification of hemp hurd, artificial intelligence (AI), and Decentralized Physical Infrastructure Networks (DePIN), the country can address its most urgent development challenges. These innovations offer sustainable, scalable solutions for energy security, economic growth, healthcare delivery, and digital transformation.

This white paper outlines the transformative potential of combining agricultural innovation, clean energy, and decentralized digital infrastructure to power Uganda’s future.

By Michael Noel

Powering Uganda’s Future: The Untapped Potential of Hemp, Plasma Gasification, AI, and Decentralized Infrastructure (DePIN)

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Technical White Papers

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