Author: Adao Aparecido Ernesto

  • AIURM Protocol – Investment Portfolio Risk Demonstration with the Cognitive Policy Layer (DL + Rules)

    In this video, you’ll see an experimental demonstration of how the AIURM Protocol creates cognitive governance and structured reasoning by combining data, rules, scenarios, behavior, and policies within a risk-analysis workflow.

    WHY THIS MATTERS

    • Less ambiguity, more precision.
    • Balanced cognition and policy.
    • AI acting as a cognitive policy engine, not just narrative generation.
    • Self-documenting and auditable workflows.
    • Foundations for emerging governance audit.

    👉 Investment Portfolio Risk Demonstration

  • Video Onboarding – AIURM Protocol with a Real HR Scenario

    Watch the full onboarding walkthrough using simulated Human Resources data.

    The entire flow is executed directly in a chat with an AI model, following the AIURM protocol to structure, trace, and reuse each step of reasoning.
    For demonstration purposes, no external tools are used.

    What you’ll see

    Protocol activation.
    Input of employee data.
    Application of logical rules for performance and retention analysis.
    Generation of insights with AI explanation.
    Strategic plan creation based on results.
    Visualization of the dependency tree generated by the AI itself.

    Watch now

    👉 Onboarding AIURM – HR Analysis with Simulated Data

  • AIURM Protocol v0.1 (Experimental Draft) Official Launch

    The AIURM Protocol (Artificial Intelligence Universal Reference Marker) is now available for community discussion, testing, study, and evolution.

    AIURM is an open and experimental proposal designed to enable structured, traceable, and reusable AI workflows. It systematically employs a dual-layer marker system (automatic and custom markers) to ensure precise referencing and control over every step of the process.

    The protocol definition, onboarding examples, and usage guidelines are already published at aiurm.org.

    Feedback, testing, and community contributions are welcome.

    Public domain (CC0)
    https://creativecommons.org/publicdomain/zero/1.0/
    No stability guarantees are provided.

    Created by Adão Aparecido Ernesto (2025)