Systematic knowledge organization, AI-assisted methodologies, and collaborative framework development ecosystem.
This repository establishes a comprehensive framework for systematic framework development, AI-human collaboration methodologies, and epistemological uncertainty management. Our living documentation ecosystem integrates community-driven maintenance with AI assistance to create robust, scalable framework solutions.
Current Way of Working Instructions see latest improvements ... MODEL_for_framework/99_appendix/2026_01_31_instructs_for_current_working.md
** till now created with: **
<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareSourceCode", "name": "MD Repository: Systematic Knowledge Organization & AI-Assisted Methodologies", "description": "Comprehensive framework for systematic framework development, AI-human collaboration methodologies, and epistemological uncertainty management. Living documentation ecosystem with community-driven maintenance and AI assistance.", "url": "https://github.com/peterstone649/md", "codeRepository": "https://github.com/peterstone649/md", "license": "https://joinup.ec.europa.eu/collection/eupl/eupl-text-11-12", "programmingLanguage": ["Markdown", "Python", "JavaScript"], "author": { "@type": "Person", "name": "Peter Stone", "url": "https://github.com/peterstone649" }, "maintainer": { "@type": "Person", "name": "Peter Stone", "url": "https://github.com/peterstone649" }, "contributor": { "@type": "Organization", "name": "Open Source Community" }, "about": [ "Framework Development", "Knowledge Organization", "AI Methodologies", "Systematic Approach", "Epistemological Uncertainty", "Collaborative Development" ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform", "softwareVersion": "1.0.0", "datePublished": "2026-01-16", "dateModified": "2026-01-18", "keywords": [ "framework development", "systematic methodology", "knowledge organization", "AI methodologies", "epistemological uncertainty", "collaborative development", "methodological standardization", "AI-human collaboration" ], "hasPart": [ { "@type": "SoftwareSourceCode", "name": "MODEL_for_framework", "description": "Core methodological framework for systematic framework development" }, { "@type": "SoftwareSourceCode", "name": "MODEL_for_STKHLD_AI_COLLAB", "description": "Stakeholder-AI collaboration methodologies" } ], "citation": [ { "@type": "CreativeWork", "name": "Framework Development Standards", "description": "Transparency, Accountability, Quality, Ethics, Collaboration, Sustainability" } ] } </script>Visual Studio with CLINE and pure FREE models e.g. Grok sometimes also Antigravity in parallel e.g. translations (same filesys)
Primary Focus Areas:
- Framework Development Methodology
- Systematic Knowledge Organization
- AI-Assisted Methodologies
- Epistemological Uncertainty Management
- Collaborative Framework Design
- Stakeholder-AI Integration
- Open Science Framework
- Methodological Standardization
- Systematic Framework Development - Structured approach to building robust frameworks
- AI-Human Collaboration - Integrated methodologies for AI-assisted development
- Epistemological Uncertainty Management - Comprehensive uncertainty handling protocols
- Living Documentation Ecosystem - Community-maintained, AI-enhanced documentation
- Multi-Project Architecture - Interconnected models for comprehensive solutions
- Framework Architects - Systematic methodology for framework development
- AI Integration Teams - Human-AI collaboration protocols and standards
- Knowledge Organizations - Systematic knowledge management and organization
- Research Institutions - Epistemological frameworks and uncertainty management
- Open Science Communities - Collaborative framework development and maintenance
- MODEL_for_framework: Located at
md\MODEL_for_framework- in ACTIVE status - MODEL_for_STKHLD_AI_COLLAB: Located at
md\MODEL_for_STKHLD_AI_COLLAB- in DRAFT status
- PUB/: Published content including books, research, and documentation
- PUB/BOOK/: English AI research books and writing guides (Superintelligence, Life 3.0, Human Compatible, The Alignment Problem, Elements of Style, Style Toward Clarity and Grace)
- PUB/BOOK/20_AI/10_AI_Ethics/: AI ethics documentation and guidelines
- transl/: Multilingual translations directory with comprehensive coverage in 6 languages (fr, de, zh, es, ja, ru)
- transl_re/: Back-translated content from Spanish to English for quality verification and multilingual workflow optimization
For license please see: .\MODEL_for_framework\00_overview\01_legal\01_copyright_notice.md
Framework Development Standards:
├── Transparency → Complete disclosure of methodologies and processes
├── Accountability → Clear human responsibility for all decisions
├── Quality → Measurable standards for all framework components
├── Ethics → Responsible AI integration and human oversight
├── Collaboration → Open participation and community contribution
└── Sustainability → Long-term viability and continuous improvement
This directory contains comprehensive multilingual translations of project documentation, AI research books, framework models, and technical content, enabling global accessibility and international collaboration.
The transl/ directory serves as the central multilingual repository, making critical AI research, framework documentation, and technical content accessible to international audiences in their native languages, fostering global understanding and collaboration on AI governance, ethics, and safety.
For detailed information about the multilingual translation initiative, see:
- Translation Task Document:
out/task_translate_book_to_languages.md - Translation Scope: Comprehensive BOOK directory translation to 6 languages
- Methodology: Systematic approach with professional translation standards
- Progress Tracking: Version-controlled translation evolution
To contribute new translations or expand existing coverage:
- Language Addition: Create new language directory using ISO 639-1 codes (e.g.,
pt/,ko/,ar/) - Structure Mirroring: Follow the established directory structure from source content
- Naming Conventions: Use language-appropriate transliterations for directory names
- Documentation: Include README.md explaining translation scope, contributors, and coverage
- Quality Standards: Adhere to established translation standards and submit for review
- Synchronization: Translations kept current with source document updates
- Version Control: Git tracking of translation evolution alongside source changes
- Quality Assurance: Ongoing validation ensuring accuracy and consistency
- Community Collaboration: Open participation in translation expansion and improvement
The multilingual translation initiative significantly enhances the project's global accessibility, making sophisticated AI research and framework methodologies available to international communities. This fosters cross-cultural understanding and collaboration on critical AI governance, safety, and ethical development topics.
- Scope Term: Defined boundaries and limitations for framework components
- Objective Term: Established desired outcomes and direction-setting
- Constraint Term: Defined limitations, restrictions, and framework governance elements
- Plugin Term: Created modular extension mechanisms with complexity levels
- Microsoft AI Principles: Fairness, Reliability, Privacy, Inclusiveness, Transparency, Accountability
- STKHLD_AI_COLLAB Principles: Human Sovereignty, Transparency, Continuous Learning
- Constitutional Framework: Governance standards and policy differentiation
- Fixed Permissions: Added explicit permissions blocks to ci.yml and dependency-submission.yml
- Syntax Error Resolution: Fixed Python syntax issues in analyser_for_words_in_files.py
- CodeQL Compliance: Resolved all workflow security warnings
- Clickable Links: Applied comprehensive clickable link standards
- Cross-References: Established seamless navigation between framework components
- Quality Standards: 9-point checklists for term definition and integration quality
- Index Generator Implementation: Created comprehensive index.md generation tool with full test suite
- US_MFR to US_MFW Standardization: Updated all user story references across converter directory
- Spanish Translation Completion: Fully translated directory structure from German to Spanish
- Working Instructions Integration: Added direct references to development workflow documentation
- Changelog System Enhancement: Updated all components with comprehensive version tracking
- Tool Testing Infrastructure: Implemented robust testing framework for converter tools