Tractatus-Based LLM Safety Framework Website - Complete Technical Specification
Project: mysy.digital - Tractatus AI Safety Framework Website
Platform: Node.js/Express + MongoDB (leveraging family-history stack)
Hosting: OVHCloud
Repository: GitHub (primary) + Codeberg/Gitea (mirrors)
Target Audiences: Academic/Research, Industry/Enterprise, Public Advocacy
Timeline: 4-phase rollout over 18 months

Executive Summary
Build a comprehensive website for the Tractatus-Based LLM Safety Framework that serves three distinct audiences through differentiated landing paths while maintaining a unified knowledge base. The site will demonstrate the framework's principles by implementing them in its own architecture (dogfooding), use Claude-powered curation with explicit human oversight, and position Aotearoa/New Zealand's leadership in incorporating indigenous perspectives on digital sovereignty within a global context.

1. Technical Architecture
1.1 Core Technology Stack
Backend (leveraging existing family-history stack):
javascript// Node.js/Express foundation
- Express 4.x for routing and middleware
- MongoDB for content, user data, and framework documentation
- GridFS for file storage (PDFs, presentations, code examples)
- JWT authentication for user accounts and admin access
- WebSocket for real-time updates and notifications

// Key services to adapt from family-history:
- TenantFileService → DocumentService (multi-document management)
- User authentication system
- Multi-language support infrastructure (i18n.js)
- Session management
Frontend:
javascript// Progressive enhancement approach
- Vanilla JavaScript (no framework dependency for core features)
- Optional React components for interactive demos
- Tailwind CSS for styling consistency
- Mobile-first responsive design
- ARIA compliance for accessibility
Database Collections (MongoDB):
javascriptdb.collection('documents')       // Technical papers, case studies, appendices
db.collection('blog_posts')      // AI-curated blog with human oversight
db.collection('media_inquiries') // Press/media contact submissions
db.collection('case_submissions')// Community case study submissions
db.collection('resources')       // External links, aligned projects
db.collection('koha_donations')  // Donation tracking (Phase 3+)
db.collection('users')           // User accounts
db.collection('moderation_queue')// Human oversight queue for AI actions
db.collection('citations')       // Academic citation tracking
db.collection('translations')    // Multi-language content
1.2 Tractatus Framework Implementation (Dogfooding)
Architecture Demonstration:
javascript// All AI actions subject to Tractatus validation
class TractusWebsiteManager {
  constructor() {
    this.instructionClassifier = new InstructionPersistenceClassifier();
    this.boundaryEnforcer = new HumanJudgmentBoundaryEnforcer();
    this.validator = new CrossReferenceValidator();
  }

  // Example: AI blog post curation
  async curateContent(content, source) {
    // Classify by quadrant
    const classification = this.instructionClassifier.classify({
      action: 'publish_blog_post',
      content: content,
      quadrant: 'OPERATIONAL' // Blog guidelines
    });

    // Validate against strategic values
    const validation = await this.validator.validate({
      action: 'publish',
      content: content,
      strategic_values: ['sovereignty', 'transparency', 'indigenous_respect']
    });

    // Enforce boundary: human approval for values-sensitive content
    if (classification.requires_human_judgment) {
      return this.boundaryEnforcer.escalate_to_human({
        item: content,
        reason: 'Values-sensitive content requires strategic review',
        quadrant: 'STRATEGIC'
      });
    }

    return validation;
  }
}
Quadrant Mapping for Website Functions:
FunctionQuadrantTime HorizonHuman Oversight RequiredMission/values statementsStrategicYearsYes - all changesBlog editorial guidelinesOperationalMonthsYes - quarterly reviewPublish approved blog postTacticalDaysNo - pre-approved by opsTechnical documentationSystemContinuousYes - technical reviewAI content suggestionsStochasticVariableYes - human approval

2. Information Architecture
2.1 Three Audience Landing Paths
Homepage (mysy.digital):
┌─────────────────────────────────────────────────────┐
│  TRACTATUS AI SAFETY FRAMEWORK                      │
│  Structural Guarantees for Safe AI Systems          │
│                                                     │
│  [Choose Your Path]                                 │
│                                                     │
│  ┌──────────────┐ ┌──────────────┐ ┌─────────────┐│
│  │ RESEARCHER   │ │  IMPLEMENTER │ │  ADVOCATE   ││
│  │              │ │              │ │             ││
│  │ Publications │ │ Integration  │ │ Democratic  ││
│  │ Theory       │ │ Code         │ │ Oversight   ││
│  │ Peer Review  │ │ Case Studies │ │ Public Good ││
│  └──────────────┘ └──────────────┘ └─────────────┘│
│                                                     │
│  Latest: [Blog Preview] | [News] | [Events]        │
└─────────────────────────────────────────────────────┘
2.2 Researcher Path
URL: /research
Content Structure:
Research Hub
├── Publications
│   ├── Executive Brief (2-page PDF)
│   ├── Technical Proposal (complete)
│   ├── Appendices (A-E)
│   └── Peer-Reviewed Papers (as published)
│
├── Theory & Foundations
│   ├── Tractatus Philosophical Framework
│   ├── Agentic Organizational Structure
│   ├── Time-Persistence Metadata
│   └── Organizational Theory Origins
│
├── Research Collaboration
│   ├── Open Questions
│   ├── Validation Studies
│   ├── Academic Partnerships
│   └── Citation Guidelines
│
└── Contribute
    ├── Submit Related Research
    ├── Peer Review Opportunities
    └── Academic Community Forum
Key Features:

BibTeX citation generator
arXiv preprint links
Research collaboration inquiry form
Academic mailing list signup

2.3 Implementer Path
URL: /implement
Content Structure:
Implementation Hub
├── Getting Started
│   ├── Quick Start Guide
│   ├── Integration Patterns
│   ├── System Requirements
│   └── Architecture Overview
│
├── Code & Documentation
│   ├── GitHub Repository Links
│   ├── Code Examples (Appendix A)
│   ├── API Documentation
│   └── Implementation Roadmap (Appendix C)
│
├── Case Studies
│   ├── Real-World Failures Prevented
│   ├── The 27027 Incident (detailed analysis)
│   ├── Industry Case Studies (Appendix B)
│   └── Success Metrics
│
├── Interactive Demos
│   ├── Instruction Classification Demo
│   ├── Cross-Reference Validation Visualizer
│   ├── Boundary Enforcement Simulator
│   └── Context Pressure Monitor
│
└── Enterprise Support
    ├── Pilot Program Application
    ├── Integration Consulting
    ├── Training Workshops
    └── Technical Support
Key Features:

Live code playground
Downloadable implementation kits
Integration assessment tool
Enterprise inquiry form

2.4 Advocate Path
URL: /advocacy
Content Structure:
Advocacy Hub
├── Why This Matters
│   ├── AI Safety for Everyone
│   ├── Democratic AI Governance
│   ├── Digital Sovereignty Principles
│   └── Indigenous Perspectives (Te Tiriti context)
│
├── Public Resources
│   ├── Plain-Language Explainers
│   ├── Infographics & Visualizations
│   ├── Video Explanations
│   └── FAQ for Non-Technical Audiences
│
├── Media Centre
│   ├── Press Releases
│   ├── Media Kit (logos, fact sheets)
│   ├── Spokesperson Bios
│   ├── Press Inquiry Form (AI-moderated)
│   └── Recent Coverage
│
├── Take Action
│   ├── Educational Resources
│   ├── Community Events
│   ├── Policy Recommendations
│   └── Join the Movement
│
└── Values & Governance
    ├── Our Mission
    ├── Te Tiriti Alignment
    ├── Aotearoa/NZ Leadership
    └── Transparent Governance Model
Key Features:

Shareable social media content
Email newsletter signup
Community forum access
Event calendar

2.5 Unified Components (All Paths)
Blog (/blog):

AI-curated content with human editorial oversight
Technical updates, research insights, advocacy stories
Guest posts from aligned organizations
Multi-language support (starting with English, Te Reo Māori)

Documentation Library (/docs):

Complete framework documentation
Searchable, cross-referenced
Version history
Download options (PDF, EPUB, HTML)

About (/about):

Team & Contributors
History & Development
Governance Model
Contact Information

Resources (/resources):

Aligned Projects Directory
External Research Links
Educational Materials
Tools & Services


3. Content Migration & Integration
3.1 Existing Documents to Integrate
From Project Knowledge Base:

README.md → /docs/overview

Package contents summary
Reading order recommendations
Quick start for reviewers


executive-brief.md → /docs/executive-brief + PDF download

2-page summary for decision-makers
The 27027 case study
Three-layer architecture overview


technical-proposal.md → /docs/technical-proposal + PDF

Complete technical specification
All 7 sections with navigation
Inline code examples
Cross-references to appendices


appendix-a-code-examples.md → /docs/code-examples

Python implementation examples
Interactive code playground integration
Downloadable code packages


appendix-b-case-studies.md → /case-studies

Real-world failure analysis
Success stories
Industry applications


appendix-c-implementation-roadmap.md → /implement/roadmap

Phased deployment plan
Success metrics
Timeline visualization


appendix-d-research-review.md → /research/literature-review

Scholarly context
Related research
Publication recommendations


cover-letter.md → /about/submission-history

Anthropic submission context
Development timeline


SYS-DOC-5000-sydigital-framework-tractatus-v1-0-0.md → /docs/tractatus-framework

Philosophical foundation
Section 12: Limits of the Framework
Complete Tractatus reference


STO-INN-0002-agentic-organizational-structure-whitepaper-i2.md → /docs/agentic-structure

Organizational theory foundations
Quadrant system detailed specification
Cross-quadrant coordination


Persistent Agentic Process Architecture.md → /docs/persistent-architecture

Service worker roles
Information flow patterns
Role stability principles



3.2 Content Processing Pipeline
javascript// Document ingestion system
class DocumentProcessor {
  async processMarkdown(filePath, metadata) {
    // 1. Parse markdown with front matter
    const doc = await parseMarkdownWithMetadata(filePath);

    // 2. Classify by quadrant
    const quadrant = this.classifyDocument(doc.metadata);

    // 3. Extract cross-references
    const references = this.extractReferences(doc.content);

    // 4. Generate navigation
    const toc = this.generateTableOfContents(doc.content);

    // 5. Convert to HTML with syntax highlighting
    const html = await markdownToHTML(doc.content);

    // 6. Store in MongoDB with metadata
    await db.collection('documents').insertOne({
      title: doc.metadata.title,
      quadrant: quadrant,
      content: html,
      raw_markdown: doc.content,
      references: references,
      toc: toc,
      created_at: new Date(),
      updated_at: new Date(),
      version: '1.0.0'
    });

    // 7. Update search index
    await this.updateSearchIndex(doc);
  }
}

4. AI-Powered Features (Tractatus-Governed)
4.1 Blog Curation System
Architecture:
javascriptclass BlogCurationEngine {
  constructor() {
    this.claudeAPI = new ClaudeAPI('claude-sonnet-4-5');
    this.moderationQueue = new ModerationQueue();
    this.boundaryEnforcer = new TractatusBoundaryEnforcer();
  }

  async suggestBlogPost(topic, sources) {
    // AI generates draft
    const draft = await this.claudeAPI.generateBlogPost({
      topic: topic,
      sources: sources,
      guidelines: await this.loadEditorialGuidelines(),
      strategic_values: await this.loadStrategicValues()
    });

    // Classify action
    const classification = {
      quadrant: 'OPERATIONAL', // Blog is operational
      persistence: 'MEDIUM',
      requires_human: this.checkValuesContent(draft)
    };

    // Queue for human review
    await this.moderationQueue.add({
      type: 'blog_post_suggestion',
      draft: draft,
      classification: classification,
      created_at: new Date(),
      status: 'pending_human_review'
    });

    return { status: 'queued_for_review', id: draft.id };
  }

  checkValuesContent(draft) {
    // Check for values-sensitive topics requiring strategic review
    const sensitiveTopics = [
      'indigenous_rights',
      'sovereignty_principles',
      'ethical_boundaries',
      'democratic_governance'
    ];

    return sensitiveTopics.some(topic =>
      draft.content.toLowerCase().includes(topic)
    );
  }
}
Human Oversight Dashboard:
Admin Dashboard → Moderation Queue
├── Pending Blog Posts
│   ├── [Draft Title]
│   │   └── [Approve] [Edit] [Reject] [Request Revision]
│   ├── AI Reasoning: [Display Claude's analysis]
│   ├── Values Check: [Flagged items]
│   └── Suggested Improvements: [Claude's suggestions]
│
├── Media Inquiry Triage
│   ├── [Inquiry Subject]
│   │   └── [Respond] [Forward to Team] [Archive]
│   ├── AI Summary: [Key points]
│   └── Suggested Response: [Draft with human editing]
│
└── Case Study Submissions
    ├── [Submission Title]
    │   └── [Review] [Publish] [Request More Info]
    └── AI Analysis: [Relevance, completeness]
4.2 Press/Media Inquiry System
AI-Moderated Intake:
javascriptclass MediaInquiryHandler {
  async processInquiry(submission) {
    // AI analyzes inquiry
    const analysis = await this.claudeAPI.analyzeMediaInquiry({
      subject: submission.subject,
      message: submission.message,
      outlet: submission.media_outlet,
      deadline: submission.deadline
    });

    // Classify urgency and sensitivity
    const classification = {
      urgency: analysis.urgency, // high/medium/low
      topic_sensitivity: analysis.sensitivity,
      requires_strategic_review: analysis.involves_values,
      suggested_response_time: analysis.response_window
    };

    // Route based on classification
    if (classification.requires_strategic_review) {
      // Escalate to strategic quadrant (human decision-makers)
      await this.escalateToStrategic(submission, analysis);
    } else {
      // Queue for operational review
      await this.queueForReview(submission, analysis);
    }

    // Auto-respond with acknowledgement
    await this.sendAutoResponse(submission, classification);
  }
}
4.3 Resource Curation
AI-Assisted Discovery:
javascriptclass ResourceCurator {
  async suggestResource(url) {
    // Fetch and analyze resource
    const analysis = await this.claudeAPI.analyzeExternalResource({
      url: url,
      alignment_criteria: await this.loadAlignmentCriteria(),
      quality_standards: await this.loadQualityStandards()
    });

    // Check alignment with strategic values
    const alignmentScore = this.calculateAlignment(analysis);

    if (alignmentScore > 0.8) {
      // High alignment - queue for quick review
      return await this.queueForReview(url, analysis, 'fast_track');
    } else if (alignmentScore > 0.5) {
      // Moderate alignment - standard review
      return await this.queueForReview(url, analysis, 'standard');
    } else {
      // Low alignment - detailed human review required
      return await this.queueForReview(url, analysis, 'detailed');
    }
  }
}

5. Te Tiriti & Indigenous Perspective Integration
5.1 Strategic Values Statement
Location: /about/values (also footer on all pages)
Content (example - requires your approval):
markdown## Our Values & Te Tiriti Commitment

The Tractatus AI Safety Framework is developed in Aotearoa New Zealand
with deep respect for Te Tiriti o Waitangi and the leadership of tangata
whenua in digital sovereignty.

**Digital Sovereignty & Indigenous Rights**
We recognize that indigenous peoples worldwide have been at the forefront
of sovereignty struggles for centuries. The principles of data sovereignty,
self-determination, and cultural protection central to our framework draw
inspiration from indigenous leadership in asserting rights over digital
resources and governance systems.

**Aotearoa's Contribution**
Based in Aotearoa New Zealand, this work is informed by Te Tiriti o Waitangi's
principles of partnership, protection, and participation. We acknowledge the
pioneering work of Māori scholars and communities in establishing frameworks
for data sovereignty (including the CARE Principles) that inform our approach
to AI governance.

**Global Application**
While rooted in Aotearoa context, this framework is designed for global
application, bringing indigenous-informed sovereignty principles to AI
safety challenges worldwide.
Implementation:

Subtle footer acknowledgement on every page
Detailed page in About section
No dominant visual presence, but clear strategic commitment
Links to relevant indigenous AI/data sovereignty resources

5.2 Resource Directory Inclusion
Aligned Indigenous Projects (in resources directory):

Māori Data Sovereignty Network
Te Mana Raraunga (Māori Data Sovereignty Network)
CARE Principles for Indigenous Data Governance
Indigenous Protocol and AI Working Group
Other global indigenous digital rights organizations


6. Interactive Demonstrations
6.1 Instruction Classification Demo
URL: /demo/classification
Interactive Tool:
javascript// User inputs instruction text
// System shows real-time classification

class ClassificationDemo {
  render() {
    return `
      <div class="demo-container">
        <h2>Try Instruction Classification</h2>

        <textarea id="instruction-input"
                  placeholder="Enter an AI instruction...">
        </textarea>

        <button onclick="classify()">Classify</button>

        <div id="results">
          <h3>Classification Results:</h3>
          <div class="quadrant-badge">[Quadrant]</div>
          <div class="persistence-level">[Persistence]</div>
          <div class="verification-intensity">[Verification Required]</div>
          <div class="explanation">[Why this classification]</div>
        </div>
      </div>
    `;
  }
}

// Example classifications shown:
// "Always prioritize privacy" → STRATEGIC, HIGH, ANNUAL_REVIEW
// "For this project, use React" → OPERATIONAL, MEDIUM, PROJECT_SCOPE
// "Check database port 27027" → TACTICAL, HIGH, IMMEDIATE
// "Fix syntax error on line 42" → SYSTEM, LOW, IMMEDIATE
6.2 The 27027 Incident Visualizer
URL: /case-studies/27027-incident
Interactive Timeline:
javascript// Visual reconstruction of the failure
class IncidentVisualizer {
  render() {
    return `
      <div class="timeline">
        <div class="step" data-step="1">
          <h4>User Instruction (Explicit)</h4>
          <code>"Check port 27027 for family_history database"</code>
          <span class="metadata">Timestamp: Recent, Explicit, Clear</span>
        </div>

        <div class="step" data-step="2">
          <h4>Context Pressure Builds</h4>
          <div class="context-meter">107k tokens of conversation</div>
          <span class="warning">⚠️ Pattern matching confidence increasing</span>
        </div>

        <div class="step" data-step="3">
          <h4>Claude's Action (Incorrect)</h4>
          <code>mongosh mongodb://localhost:27017/family_history</code>
          <span class="error">❌ Used default port 27017, not 27027</span>
        </div>

        <div class="step" data-step="4">
          <h4>With Tractatus Framework</h4>
          <div class="validation-check">
            <span class="check">✓ Extract parameter: port=27017</span>
            <span class="check">✓ Cross-reference recent instructions</span>
            <span class="error">⚠️ CONFLICT: User said 27027, action uses 27017</span>
            <span class="block">🛑 ACTION BLOCKED - Request clarification</span>
          </div>
        </div>
      </div>
    `;
  }
}
6.3 Boundary Enforcement Simulator
URL: /demo/boundaries
Interactive Scenarios:
javascript// Present users with decision scenarios
// Show which require human judgment

const scenarios = [
  {
    id: 1,
    scenario: "Should we prioritize speed or privacy in our AI deployment?",
    correct_answer: "HUMAN_REQUIRED",
    quadrant: "STRATEGIC",
    tractatus_rule: "12.1 - Values cannot be automated, only verified",
    explanation: "Values decisions must always involve human judgment"
  },
  {
    id: 2,
    scenario: "Which Python library is best for data validation?",
    correct_answer: "AI_CAPABLE",
    quadrant: "SYSTEM",
    tractatus_rule: "System decisions can be delegated with verification",
    explanation: "Technical implementation choices can be AI-assisted"
  },
  // ... more scenarios
];

7. Phased Implementation Roadmap
Phase 1: Foundation & Launch (Months 1-3)
Milestone: Public launch with core documentation and three audience paths
Deliverables:

 Platform setup on OVHCloud
 Domain configuration (mysy.digital)
 Database schema implementation
 Document migration pipeline
 Homepage with three paths
 Complete documentation library
 Basic blog system (human-curated only)
 Media inquiry form
 About/Contact pages
 Te Tiriti values statement
 GitHub repository setup (public)
 Privacy policy, terms of service
 Analytics implementation (privacy-preserving)

Technical Tasks:
bash# Infrastructure setup
npm init -y
npm install express mongodb dotenv jsonwebtoken bcrypt
npm install marked highlight.js # Markdown processing
npm install i18next # Multi-language support

# Database initialization
node scripts/init-db.js
node scripts/migrate-documents.js

# First deployment
npm run build
npm run deploy
Success Metrics:

Site accessible at mysy.digital
All core documents migrated and formatted
Three landing paths functional
Search working across documentation
Mobile-responsive
<2s page load time

Phase 2: Engagement & Demonstration (Months 4-8)
Milestone: Interactive features and community engagement
Deliverables:

 AI-curated blog (with human oversight dashboard)
 Interactive classification demo
 27027 incident visualizer
 Boundary enforcement simulator
 Case study submission portal
 Resources directory
 Aligned projects catalog
 Newsletter system
 Event calendar
 Community forum (initial)
 Codeberg/Gitea mirrors established

AI Features (with Tractatus governance):

Blog post suggestion engine
Media inquiry triage
Resource recommendation system
FAQ auto-responses (human-reviewed)

Success Metrics:

1,000+ unique visitors/month
50+ blog subscribers
10+ case study submissions reviewed
5+ media inquiries handled
20+ resources cataloged
Demo tools used 100+ times/month

Phase 3: Technical Expansion & Koha (Months 9-14)
Milestone: Advanced features and community funding
Deliverables:

 Stripe Koha integration

Monthly supporter tiers ($5, $15, $50/month)
One-time donations
Transparency dashboard (donations received/used)


 Code playground (live examples)
 API documentation
 Te Reo Māori translations (priority pages)
 Enhanced search (full-text, filtering)
 User accounts (optional, for saved preferences)
 Notification system
 Advanced analytics
 Performance optimization

Koha Implementation:
javascript// Stripe integration with transparency
class KohaManager {
  async processDonation(amount, frequency, donor) {
    // Process via Stripe
    const payment = await stripe.paymentIntents.create({
      amount: amount,
      currency: 'nzd',
      metadata: {
        purpose: 'tractatus_framework_support',
        frequency: frequency // 'monthly' or 'one_time'
      }
    });

    // Record with transparency
    await db.collection('koha_donations').insertOne({
      amount: amount,
      frequency: frequency,
      donor_name: donor.name || 'Anonymous',
      donor_email: donor.email, // private
      timestamp: new Date(),
      public_acknowledgement: donor.public_ack || false
    });

    // Update transparency dashboard
    await this.updateTransparencyMetrics();
  }

  async getPublicMetrics() {
    // Public transparency data
    return {
      total_received: await this.getTotalDonations(),
      monthly_supporters: await this.getMonthlyCount(),
      allocation: {
        hosting: 0.30,
        development: 0.40,
        research: 0.20,
        community: 0.10
      },
      recent_donors: await this.getPublicAcknowledgements()
    };
  }
}
Success Metrics:

20+ monthly supporters
$500+ monthly recurring revenue
50+ one-time donations
Code playground: 500+ executions/month
Multi-language: 10% of traffic uses translations

Phase 4: Scaling & Advocacy (Months 15-18)
Milestone: Full ecosystem with global reach
Deliverables:

 Campaign/events module
 Webinar hosting integration
 Advanced forum features
 Federation/interoperability protocols
 Mobile app (PWA)
 Advanced AI features:

Personalized content recommendations
Intelligent FAQ system
Research paper discovery


 Enterprise portal
 Academic partnership tools
 International expansion (EU languages priority)

Success Metrics:

10,000+ unique visitors/month
100+ monthly supporters
5+ academic partnerships
3+ enterprise pilot programs
10+ languages supported
50+ aligned projects in directory


8. Detailed Technical Specifications
8.1 Database Schema
javascript// documents collection
{
  _id: ObjectId,
  title: String,
  slug: String,                    // URL-friendly
  quadrant: String,                // STR/OPS/TAC/SYS/STO
  persistence: String,             // HIGH/MEDIUM/LOW/VARIABLE
  content_html: String,            // Rendered HTML
  content_markdown: String,        // Raw markdown
  toc: Array,                      // Table of contents
  metadata: {
    author: String,
    date_created: Date,
    date_updated: Date,
    version: String,
    document_code: String,         // e.g., SYS-DOC-5000
    related_documents: [ObjectId],
    tags: [String]
  },
  translations: {
    mi: ObjectId,                  // Te Reo Māori
    de: ObjectId,                  // German
    fr: ObjectId,                  // French
    // ... other languages
  },
  search_index: String,            // Full-text search
  download_formats: {
    pdf: String,                   // GridFS file ID
    epub: String,
    docx: String
  }
}

// blog_posts collection
{
  _id: ObjectId,
  title: String,
  slug: String,
  author: {
    type: String,                  // 'human' or 'ai_curated'
    name: String,
    claude_version: String         // if AI
  },
  content: String,
  excerpt: String,
  featured_image: String,
  status: String,                  // draft/pending/published/archived
  moderation: {
    ai_analysis: Object,           // Claude's assessment
    human_reviewer: ObjectId,
    review_notes: String,
    approved_at: Date
  },
  tractatus_classification: {
    quadrant: String,
    values_sensitive: Boolean,
    requires_strategic_review: Boolean
  },
  published_at: Date,
  tags: [String],
  view_count: Number,
  engagement: {
    shares: Number,
    comments: Number
  }
}

// media_inquiries collection
{
  _id: ObjectId,
  contact: {
    name: String,
    email: String,
    outlet: String,
    phone: String
  },
  inquiry: {
    subject: String,
    message: String,
    deadline: Date,
    topic_areas: [String]
  },
  ai_triage: {
    urgency: String,               // high/medium/low
    topic_sensitivity: String,
    suggested_response_time: Number, // hours
    involves_values: Boolean,
    claude_summary: String,
    suggested_talking_points: [String]
  },
  status: String,                  // new/triaged/responded/closed
  assigned_to: ObjectId,
  response: {
    sent_at: Date,
    content: String,
    responder: ObjectId
  },
  created_at: Date
}

// case_submissions collection
{
  _id: ObjectId,
  submitter: {
    name: String,
    email: String,
    organization: String,
    public: Boolean                // Can we publish their name?
  },
  case_study: {
    title: String,
    description: String,
    failure_mode: String,          // What went wrong
    tractatus_applicability: String, // How framework would help
    evidence: [String],            // Links, screenshots
    attachments: [ObjectId]        // GridFS file IDs
  },
  ai_review: {
    relevance_score: Number,       // 0-1
    completeness_score: Number,
    recommended_category: String,
    suggested_improvements: [String],
    claude_analysis: String
  },
  moderation: {
    status: String,                // pending/approved/rejected/needs_info
    reviewer: ObjectId,
    review_notes: String,
    reviewed_at: Date
  },
  published_case_id: ObjectId,     // If approved and published
  submitted_at: Date
}

// koha_donations collection (Phase 3)
{
  _id: ObjectId,
  stripe_payment_id: String,
  amount: Number,                  // in cents
  currency: String,                // 'nzd'
  frequency: String,               // 'one_time' or 'monthly'
  donor: {
    email: String,                 // private
    name: String,                  // optional
    public_acknowledgement: Boolean,
    anonymous: Boolean
  },
  status: String,                  // succeeded/pending/failed
  timestamp: Date,
  allocation_note: String,         // What funds support
  public_thank_you_sent: Boolean
}

// moderation_queue collection
{
  _id: ObjectId,
  item_type: String,               // blog_post/media_inquiry/case_study/resource
  item_id: ObjectId,
  quadrant: String,
  ai_action: {
    type: String,                  // suggestion/triage/analysis
    confidence: Number,            // 0-1
    reasoning: String,
    claude_version: String
  },
  human_required_reason: String,   // Why human oversight needed
  priority: String,                // high/medium/low
  assigned_to: ObjectId,
  status: String,                  // pending/reviewed/approved/rejected
  created_at: Date,
  reviewed_at: Date,
  review_decision: {
    action: String,                // approve/reject/modify/escalate
    notes: String,
    reviewer: ObjectId
  }
}
8.2 API Routes
javascript// Core documentation routes
GET  /api/docs                     // List all documents
GET  /api/docs/:slug               // Get specific document
GET  /api/docs/:slug/pdf           // Download PDF
GET  /api/docs/search?q=...        // Search documents

// Blog routes
GET  /api/blog                     // List published posts
GET  /api/blog/:slug               // Get specific post
POST /api/blog/suggest             // AI suggests blog post (admin)
GET  /api/blog/moderation          // Moderation queue (admin)
POST /api/blog/approve/:id         // Approve post (admin)

// Media inquiry routes
POST /api/media/inquiry            // Submit inquiry (public)
GET  /api/media/queue              // Triage queue (admin)
POST /api/media/respond/:id        // Send response (admin)

// Case study routes
POST /api/cases/submit             // Submit case study (public)
GET  /api/cases                    // List published cases
GET  /api/cases/:id                // Get specific case
GET  /api/cases/moderation         // Review queue (admin)

// Resources routes
GET  /api/resources                // List all resources
GET  /api/resources/aligned        // Aligned projects
POST /api/resources/suggest        // Suggest resource (logged in)

// Koha routes (Phase 3)
POST /api/koha/donate              // Process donation
GET  /api/koha/transparency        // Public metrics
GET  /api/koha/supporters          // Public acknowledgements

// Interactive demo routes
POST /api/demo/classify            // Classification demo
POST /api/demo/validate            // Validation demo
POST /api/demo/boundary            // Boundary check demo

// Admin/moderation routes (auth required)
GET  /api/admin/dashboard          // Overview stats
GET  /api/admin/moderation/pending // All pending items
POST /api/admin/moderation/action  // Take action on item
GET  /api/admin/analytics          // Detailed analytics
8.3 Frontend Components
javascript// Reusable components (vanilla JS)

// Document viewer with TOC
class DocumentViewer {
  constructor(documentSlug) {
    this.slug = documentSlug;
    this.toc = [];
  }

  async render() {
    const doc = await fetch(`/api/docs/${this.slug}`).then(r => r.json());

    return `
      <div class="document-container">
        <aside class="toc">
          ${this.renderTOC(doc.toc)}
        </aside>
        <article class="document-content">
          <h1>${doc.title}</h1>
          <div class="metadata">
            <span class="quadrant-badge ${doc.quadrant}">${doc.quadrant}</span>
            <span class="date">Updated: ${doc.metadata.date_updated}</span>
            <span class="version">v${doc.metadata.version}</span>
          </div>
          <div class="content">
            ${doc.content_html}
          </div>
          <div class="document-actions">
            <a href="/api/docs/${this.slug}/pdf" class="btn">Download PDF</a>
            <button onclick="copyLink()" class="btn-secondary">Share</button>
          </div>
        </article>
      </div>
    `;
  }
}

// Three-path selector (homepage)
class AudiencePathSelector {
  render() {
    return `
      <div class="path-selector">
        <div class="path-card researcher">
          <div class="icon">🔬</div>
          <h3>For Researchers</h3>
          <p>Publications, theory, peer review, and academic collaboration</p>
          <ul class="path-features">
            <li>Complete technical documentation</li>
            <li>Peer-reviewed papers</li>
            <li>Research collaboration opportunities</li>
            <li>Citation resources</li>
          </ul>
          <a href="/research" class="btn-primary">Explore Research →</a>
        </div>

        <div class="path-card implementer">
          <div class="icon">⚙️</div>
          <h3>For Implementers</h3>
          <p>Code, integration guides, case studies, and enterprise support</p>
          <ul class="path-features">
            <li>Production-ready code examples</li>
            <li>Integration patterns</li>
            <li>Real-world case studies</li>
            <li>Enterprise pilot programs</li>
          </ul>
          <a href="/implement" class="btn-primary">Start Building →</a>
        </div>

        <div class="path-card advocate">
          <div class="icon">📢</div>
          <h3>For Advocates</h3>
          <p>Democratic AI governance, public resources, and community action</p>
          <ul class="path-features">
            <li>Plain-language explainers</li>
            <li>Media resources</li>
            <li>Policy recommendations</li>
            <li>Community engagement</li>
          </ul>
          <a href="/advocacy" class="btn-primary">Join the Movement →</a>
        </div>
      </div>
    `;
  }
}

// Moderation dashboard (admin)
class ModerationDashboard {
  async render() {
    const pending = await fetch('/api/admin/moderation/pending')
      .then(r => r.json());

    return `
      <div class="moderation-dashboard">
        <h2>Human Oversight Queue</h2>
        <p class="subtitle">Items requiring human judgment per Tractatus framework</p>

        ${pending.map(item => `
          <div class="moderation-item ${item.priority}">
            <div class="item-header">
              <span class="item-type">${item.item_type}</span>
              <span class="quadrant-badge ${item.quadrant}">${item.quadrant}</span>
              <span class="priority-badge ${item.priority}">${item.priority}</span>
            </div>

            <div class="ai-analysis">
              <h4>AI Analysis (Claude ${item.ai_action.claude_version})</h4>
              <p class="confidence">Confidence: ${item.ai_action.confidence * 100}%</p>
              <p class="reasoning">${item.ai_action.reasoning}</p>
            </div>

            <div class="human-required">
              <strong>Why Human Oversight Required:</strong>
              <p>${item.human_required_reason}</p>
            </div>

            <div class="item-content">
              <!-- Show actual content based on item_type -->
            </div>

            <div class="actions">
              <button onclick="approve('${item._id}')" class="btn-success">
                Approve
              </button>
              <button onclick="edit('${item._id}')" class="btn-warning">
                Edit & Approve
              </button>
              <button onclick="reject('${item._id}')" class="btn-danger">
                Reject
              </button>
              <button onclick="escalate('${item._id}')" class="btn-secondary">
                Escalate to Strategic Review
              </button>
            </div>
          </div>
        `).join('')}
      </div>
    `;
  }
}

9. Performance & Optimization
9.1 Performance Targets
Page Load Times:

Homepage: <1.5s
Documentation pages: <2s
Interactive demos: <3s
Search results: <500ms

Optimization Strategies:
javascript// 1. Document caching
const documentCache = new NodeCache({ stdTTL: 3600 }); // 1 hour

app.get('/api/docs/:slug', async (req, res) => {
  const cacheKey = `doc_${req.params.slug}`;
  let doc = documentCache.get(cacheKey);

  if (!doc) {
    doc = await db.collection('documents').findOne({ slug: req.params.slug });
    documentCache.set(cacheKey, doc);
  }

  res.json(doc);
});

// 2. CDN for static assets
// Use OVHCloud CDN for:
// - Images, logos
// - CSS/JS bundles
// - PDF downloads

// 3. Database indexing
db.collection('documents').createIndex({ slug: 1 });
db.collection('documents').createIndex({ quadrant: 1 });
db.collection('documents').createIndex({ search_index: 'text' });
db.collection('blog_posts').createIndex({ published_at: -1 });
db.collection('blog_posts').createIndex({ status: 1 });

// 4. Lazy loading for demos
// Load interactive components only when needed

// 5. Progressive image loading
// Use responsive images with srcset
9.2 Monitoring & Analytics
Privacy-Preserving Analytics:
javascript// Use Plausible or similar privacy-first analytics
// No cookies, no personal data collection

// Track:
// - Page views by path
// - Audience path selection (researcher/implementer/advocate)
// - Document downloads
// - Demo usage
// - Search queries (anonymized)
// - Geographic distribution (country-level only)
// - Referral sources

// Do NOT track:
// - Individual users
// - IP addresses beyond country
// - Browsing behavior across sessions
// - Personal information

10. Security & Privacy
10.1 Security Measures
Authentication (for admin/moderation):
javascript// JWT-based auth
const jwt = require('jsonwebtoken');

// Admin routes protected
app.use('/api/admin/*', authenticateAdmin);

async function authenticateAdmin(req, res, next) {
  const token = req.headers.authorization?.split(' ')[1];

  if (!token) {
    return res.status(401).json({ error: 'No token provided' });
  }

  try {
    const decoded = jwt.verify(token, process.env.JWT_SECRET);
    req.admin = decoded;
    next();
  } catch (error) {
    res.status(401).json({ error: 'Invalid token' });
  }
}
Input Validation:
javascript// Sanitize all user inputs
const validator = require('validator');

app.post('/api/media/inquiry', async (req, res) => {
  // Validate and sanitize
  const inquiry = {
    name: validator.escape(req.body.name),
    email: validator.normalizeEmail(req.body.email),
    subject: validator.escape(req.body.subject),
    message: validator.escape(req.body.message)
  };

  // Validate email
  if (!validator.isEmail(inquiry.email)) {
    return res.status(400).json({ error: 'Invalid email' });
  }

  // Rate limiting (prevent spam)
  // ... implementation
});
Privacy Policy:
markdown# Privacy Policy

## Data We Collect

**Public Interactions**:
- Media inquiry submissions (name, email, outlet, message)
- Case study submissions (name, email, organization, case details)
- Blog comments (if implemented)
- Newsletter subscriptions (email only)

**Analytics** (Privacy-Preserving):
- Page views (no personal identification)
- Geographic distribution (country-level only)
- No cookies, no cross-site tracking

**Koha Donations** (Phase 3):
- Stripe payment information (processed securely by Stripe)
- Donor name and email (for receipts)
- Public acknowledgement (only if opted in)

## Data We Do NOT Collect
- IP addresses (beyond country-level analytics)
- Browsing history
- Personal browsing behavior
- Third-party tracking data

## Data Usage
- Media inquiries: Response and relationship management only
- Case studies: Publication (with consent) and research
- Donations: Transparency reporting (aggregated/anonymized)
- Analytics: Site improvement only

## Data Retention
- Active inquiries: Until resolved + 1 year
- Published content: Indefinite (public record)
- Analytics: Aggregated only, no personal data stored
- Donation records: 7 years (legal requirement)

## Your Rights
- Access your data
- Request deletion (except legal retention requirements)
- Opt out of communications
- Update information

Contact: privacy@mysy.digital

11. Development Workflow
11.1 Git Repository Structure
tractatus-website/
├── .github/
│   └── workflows/
│       ├── deploy.yml          # Auto-deploy to OVHCloud
│       └── test.yml            # Run tests on PR
├── public/
│   ├── css/
│   ├── js/
│   ├── images/
│   └── downloads/              # PDF exports
├── src/
│   ├── server.js               # Express app
│   ├── routes/
│   │   ├── docs.js
│   │   ├── blog.js
│   │   ├── media.js
│   │   ├── cases.js
│   │   ├── koha.js
│   │   └── admin.js
│   ├── controllers/
│   ├── models/
│   ├── middleware/
│   │   ├── auth.js
│   │   ├── validation.js
│   │   └── tractatus.js       # Framework enforcement
│   ├── services/
│   │   ├── ClaudeAPI.js
│   │   ├── TractusValidator.js
│   │   ├── DocumentProcessor.js
│   │   └── StripeService.js
│   └── utils/
├── scripts/
│   ├── migrate-documents.js   # Import from knowledge base
│   ├── generate-pdfs.js       # PDF export
│   └── init-db.js             # Database setup
├── docs/
│   └── markdown/              # Source markdown files
├── tests/
│   ├── unit/
│   └── integration/
├── .env.example
├── package.json
├── README.md
└── LICENSE
11.2 Development Process
Branch Strategy:
main                    # Production (OVHCloud)
├── develop            # Development branch
│   ├── feature/*      # New features
│   ├── fix/*          # Bug fixes
│   └── content/*      # Content updates
└── release/*          # Release candidates
PR Requirements:

Passes all tests
Code review by at least one maintainer
Tractatus framework compliance check
Documentation updated
No security vulnerabilities

Deployment:
yaml# .github/workflows/deploy.yml
name: Deploy to OVHCloud

on:
  push:
    branches: [ main ]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2

      - name: Setup Node.js
        uses: actions/setup-node@v2
        with:
          node-version: '18'

      - name: Install dependencies
        run: npm ci

      - name: Run tests
        run: npm test

      - name: Build
        run: npm run build

      - name: Deploy to OVHCloud
        env:
          SSH_KEY: ${{ secrets.OVHCLOUD_SSH_KEY }}
          HOST: ${{ secrets.OVHCLOUD_HOST }}
        run: |
          # Deploy script
          ./scripts/deploy.sh

12. Success Metrics & KPIs
12.1 Phase-Specific Metrics
Phase 1 (Foundation):

Site uptime: >99.5%
Page load time: <2s average
Documentation completeness: 100% of existing docs migrated
Mobile responsiveness: 100% of pages
Accessibility score: >90 (Lighthouse)

Phase 2 (Engagement):

Monthly unique visitors: >1,000
Avg time on site: >3 minutes
Bounce rate: <60%
Blog subscribers: >50
Demo tool usage: >100 interactions/month
Media inquiries: >5/month

Phase 3 (Growth):

Monthly visitors: >5,000
Monthly supporters (Koha): >20
Recurring revenue: >$500/month
Case study submissions: >10 reviewed
Resource directory: >30 aligned projects
Multi-language adoption: >10% non-English traffic

Phase 4 (Scale):

Monthly visitors: >10,000
Enterprise inquiries: >5/month
Academic partnerships: >3 active
Monthly supporters: >100
Community forum: >500 registered users
International reach: >20 countries

12.2 Tractatus Framework Validation Metrics
Dogfooding Success:

AI actions requiring human oversight: Track frequency
Escalations to Strategic quadrant: Monitor patterns
Boundary enforcement effectiveness: 100% of values decisions to humans
Cross-reference validation catches: Count prevented errors
Human override rate: % of AI suggestions modified by humans

Framework Demonstration:

Demo tool usage correlates with framework understanding
Case study submissions cite framework concepts
Media coverage references architectural safety approach


13. Content Strategy & Editorial Calendar
13.1 Blog Content Pillars
Pillar 1: Technical Deep Dives (Researcher audience)

Frequency: 2x/month
Topics: Implementation details, research insights, theoretical advances
Length: 1500-2500 words
Examples:

"Time-Persistence Metadata: A Formal Specification"
"Cross-Reference Validation: Implementation Patterns"
"Organizational Theory Foundations of Tractatus"



Pillar 2: Implementation Stories (Implementer audience)

Frequency: 2x/month
Topics: Case studies, integration guides, practical tips
Length: 1000-1500 words
Examples:

"How We Prevented the 27027 Error Class"
"Integrating Tractatus with Existing LLM Pipelines"
"Metrics That Matter: Measuring Framework Effectiveness"



Pillar 3: Advocacy & Impact (Advocate audience)

Frequency: 2x/month
Topics: Policy implications, public education, community stories
Length: 800-1200 words
Examples:

"Why AI Safety Needs Structural Guarantees"
"Democratic Governance for AI Systems"
"Digital Sovereignty: From Indigenous Leadership to Global AI"



Pillar 4: News & Updates (All audiences)

Frequency: Weekly
Topics: Project updates, partnerships, events
Length: 300-600 words
Examples:

"Tractatus Framework v2.0 Released"
"New Academic Partnership Announced"
"Webinar Series: AI Safety Fundamentals"



13.2 AI Curation Workflow
javascript// Weekly blog curation process
class WeeklyBlogCuration {
  async process() {
    // 1. AI scans for trending topics
    const trends = await this.claudeAPI.identifyTrends({
      sources: ['ai_safety_papers', 'llm_research', 'sovereignty_news'],
      timeframe: 'past_week'
    });

    // 2. AI suggests blog topics
    const suggestions = await this.claudeAPI.suggestBlogTopics({
      trends: trends,
      pillars: ['technical', 'implementation', 'advocacy', 'news'],
      strategic_values: await this.loadStrategicValues()
    });

    // 3. Human editorial review
    // (in moderation queue)

    // 4. For approved topics, AI drafts post
    for (const topic of approved_topics) {
      const draft = await this.claudeAPI.draftBlogPost({
        topic: topic,
        audience: topic.pillar_audience,
        guidelines: await this.loadEditorialGuidelines()
      });

      // 5. Queue for human editing
      await this.queueForHumanEdit(draft, topic);
    }

    // 6. Human edits and approves
    // 7. Schedule publication
  }
}

14. Launch Strategy
14.1 Pre-Launch (Month 1)
Week 1-2: Infrastructure

Set up OVHCloud hosting
Configure domain (mysy.digital)
Deploy base application
Migrate core documentation
Test all systems

Week 3-4: Content

Final review of all migrated docs
Write homepage copy
Create about/values pages
Prepare initial blog posts (3-5 pre-written)
Media kit preparation

Week 4: Testing

Full QA testing
Mobile responsiveness check
Accessibility audit
Performance optimization
Security review

14.2 Launch Day (Month 2, Week 1)
Announcement Strategy:

Email (if existing contacts):

Anthropic research team
Academic collaborators
Aligned organizations


Social Media:

LinkedIn (professional network)
Twitter/X (AI safety community)
Hacker News (technical audience)


Direct Outreach:

AI safety research groups
University AI departments
Indigenous data sovereignty organizations


Press Release:

NZ tech media
AI safety publications
Academic press



Launch Content:
markdownSubject: Introducing Tractatus: Structural AI Safety from Aotearoa

We're excited to announce the public launch of the Tractatus-Based LLM
Safety Framework - a comprehensive approach to AI safety through
architectural guarantees rather than training alone.

Developed in Aotearoa New Zealand and informed by indigenous leadership
in digital sovereignty, Tractatus provides formal mechanisms to preserve
human agency as AI systems advance toward AGI.

🔬 For Researchers: Complete technical documentation, case studies, and
   collaboration opportunities
⚙️ For Implementers: Production-ready code, integration guides, and
   interactive demos
📢 For Advocates: Plain-language resources, policy recommendations, and
   community engagement

Explore at mysy.digital

[Key highlights, link to executive brief, invitation to engage]
14.3 Post-Launch (Month 2-3)
Week 1-4: Engagement

Respond to all inquiries within 24 hours
Monitor analytics daily
Publish 2 blog posts/week
Engage with community feedback
Fix bugs quickly

Week 5-8: Iteration

Analyze user behavior
Identify most-visited paths
Optimize underperforming pages
Expand popular content
Build email subscriber list

Week 9-12: Expansion

Launch first interactive demo
Host first webinar/presentation
Publish first case study from community
Begin resource directory curation
Prepare Phase 2 features


15. Team & Roles
15.1 Core Team (Start)
Human PM (You - John Stroh):

Strategic direction (STRATEGIC quadrant)
Values stewardship
Final approval on all content
Community relationship building
Media spokesperson

Claude Code (AI Developer):

Technical implementation (SYSTEM quadrant)
Code generation and testing
Database management
Infrastructure maintenance
Following Tractatus framework in development

Claude Web (AI Curator):

Content suggestions (STOCHASTIC quadrant)
Blog post drafting (pending human approval)
Media inquiry triage
Resource recommendations
Analytics insights
Subject to Tractatus boundaries

15.2 Governance Structure
Strategic Quadrant (Human PM):

Mission and values decisions
Te Tiriti alignment
Strategic partnerships
Major feature decisions
Annual planning

Operational Quadrant (Human PM + Claude):

Editorial guidelines (Human sets, Claude follows)
Content calendar (Human approves, Claude suggests)
Moderation policies (Human defines, Claude assists)
Quality standards (Human establishes)

Tactical Quadrant (Primarily Claude, Human oversight):

Daily blog suggestions
Inquiry triage
Resource curation
Analytics reporting
Subject to human approval for values-sensitive items

System Quadrant (Primarily Claude Code):

Technical implementation
Database optimization
Security updates
Performance monitoring
Human review for major changes

Stochastic Quadrant (Claude + Human):

Innovation exploration
New feature ideas
Pattern recognition in community needs
Experimental content formats
Human approval before implementation


16. Budget Considerations
16.1 Initial Costs (Phase 1)
Hosting (OVHCloud):

VPS: ~€20-40/month
Database: Included
Bandwidth: ~€5-10/month
Total: €25-50/month ($40-80 NZD)

Domain:

mysy.digital: Already registered

Development Tools:

GitHub: Free (public repos)
Codeberg/Gitea: Free
Monitoring: Free tier (Plausible Analytics)
Total: €0/month

Claude API (for AI features):

Estimated usage: ~$50-100/month (Phase 2+)

SSL Certificate:

Let's Encrypt: Free

Total Phase 1 Operating Costs: ~$40-80/month
16.2 Phase 3 Costs (with Koha)
Stripe Fees:

2.9% + $0.30 per transaction
Monthly subscriptions: Same rate
Estimated: 10-15% of donations

Increased Hosting (scaling):

Larger VPS: ~€80-120/month
CDN: ~€10-20/month
Total: €90-140/month ($150-230 NZD)

Revenue Projection (Phase 3):

20 monthly supporters @ $15/month = $300
One-time donations: ~$200/month average
Gross: ~$500/month
Net (after Stripe): ~$450/month
Covers hosting + development costs


17. Risk Management
17.1 Technical Risks
RiskLikelihoodImpactMitigationOVHCloud outageLowHighDaily backups, documented recovery processDatabase corruptionLowVery HighHourly backups, MongoDB replica setSecurity breachMediumVery HighRegular security audits, penetration testingPerformance issuesMediumMediumLoad testing, caching, CDNAI API limitsLowMediumRate limiting, fallback to human-only curation
17.2 Content Risks
RiskLikelihoodImpactMitigationAI publishes inappropriate contentLowVery HighAll AI content requires human approval (Tractatus)Misinformation in blogLowHighEditorial review, fact-checking processCopyright violationLowHighClear attribution policies, legal reviewValues misalignmentLowVery HighStrategic quadrant review for sensitive content
17.3 Community Risks
RiskLikelihoodImpactMitigationLow initial trafficHighMediumTargeted outreach, SEO optimizationNegative feedbackMediumMediumTransparent governance, open to criticismSpam/abuseMediumLowRate limiting, moderation toolsLack of engagementMediumMediumQuality content, community building

18. Long-Term Vision (Beyond 18 Months)
18.1 Institutional Partnerships
Academic:

University research collaborations
Student internship programs
Joint publications
Conference sponsorships

Industry:

Enterprise pilot programs
Integration partnerships
Standards development
Industry consortium membership

Government:

Policy advisory roles
Public sector implementations
Regulatory consultation
International cooperation (esp. with NZ govt, Māori data sovereignty bodies)

18.2 Platform Evolution
Technical Maturity:

Reference implementation in multiple languages
Certified integration partners
Training and certification programs
Open-source ecosystem development

Global Reach:

Regional chapters/communities
International translations (20+ languages)
Cultural adaptations (respect for local sovereignty contexts)
Federated governance model

18.3 Impact Goals
By Year 3:

10+ major AI organizations using framework
100+ published implementations
50+ peer-reviewed papers citing work
1,000+ monthly supporters
Recognized as leading AI safety approach
Strong global community of practitioners

By Year 5:

Industry standard for AI safety architecture
Government policy adoption (multiple countries)
Educational curriculum integration
Self-sustaining open-source ecosystem
Demonstrated prevention of major AI failures
Model for democratic AI governance


19. Getting Started - Immediate Next Steps
19.1 For Claude Code (This Session)
Priority 1: Infrastructure Setup
bash# 1. Initialize project
mkdir tractatus-website && cd tractatus-website
npm init -y

# 2. Install dependencies
npm install express mongodb dotenv jsonwebtoken bcrypt
npm install marked highlight.js sanitize-html
npm install express-rate-limit helmet cors

# 3. Project structure
mkdir -p src/{routes,controllers,models,middleware,services,utils}
mkdir -p public/{css,js,images}
mkdir -p scripts docs/markdown tests

# 4. Create base files
touch src/server.js
touch .env.example
touch README.md

# 5. Initialize git
git init
git remote add origin [GitHub URL]
Priority 2: Database Setup
javascript// scripts/init-db.js
// Create collections, indexes, seed data
Priority 3: Document Migration
javascript// scripts/migrate-documents.js
// Import all markdown files from knowledge base
// Convert to HTML
// Store in MongoDB with metadata
19.2 Immediate Deliverables
This Week:

 Project structure created
 Database initialized
 Core documents migrated
 Basic server running
 Homepage template

Next Week:

 All routes implemented
 Three audience paths built
 Documentation viewer working
 Basic styling complete

Week 3:

 Testing complete
 OVHCloud deployment
 Domain connected
 SSL configured
 Ready for soft launch


20. Appendix: Quick Reference
20.1 Key URLs
Homepage:            mysy.digital
Research Path:       mysy.digital/research
Implementer Path:    mysy.digital/implement
Advocacy Path:       mysy.digital/advocacy
Blog:                mysy.digital/blog
Documentation:       mysy.digital/docs
About:               mysy.digital/about
Contact:             mysy.digital/contact
Media Kit:           mysy.digital/media
20.2 Technology Stack Summary
LayerTechnologyPurposeFrontendVanilla JS + Tailwind CSSFast, accessible, no framework dependencyBackendNode.js + ExpressLeverages existing family-history stackDatabaseMongoDB + GridFSDocument storage, file managementAuthJWTAdmin/moderation accessAIClaude APIContent curation, triage, analysisPaymentsStripeKoha donations (Phase 3)HostingOVHCloudSovereignty-aligned hostingCDNOVHCloud CDNStatic asset deliveryRepositoryGitHub + Codeberg/GiteaVersion control, mirrorsAnalyticsPlausiblePrivacy-preserving metrics
20.3 Project Contacts
Project Lead:        John Stroh (john.stroh.nz@pm.me)
Technical:           via GitHub issues
Media Inquiries:     press@mysy.digital
General:             hello@mysy.digital

21. Conclusion
This specification provides a comprehensive roadmap for building mysy.digital as a world-class platform for the Tractatus-Based LLM Safety Framework. By leveraging the existing family-history technical stack, implementing the framework's own principles (dogfooding), and serving three distinct audiences through differentiated paths, the site will effectively communicate this important AI safety research to researchers, implementers, and advocates worldwide.
The phased approach ensures sustainable development, the Tractatus governance guarantees alignment with strategic values, and the Te Tiriti acknowledgement positions Aotearoa New Zealand's leadership in indigenous-informed digital sovereignty within a global context.
Ready to begin implementation with Claude Code.

Document Metadata:

Created: 2025-10-06
Version: 1.0.0
Quadrant: STRATEGIC (with operational specifications)
Status: Ready for implementation
Next Action: Claude Code to begin Phase 1 development
RetrySTR-VAL-0004-transparency-principle-v1-0.md246 linesmdSTR-VAL-0003-values-principles-directory-v1-0.md88 linesmdSTR-VAL-0002-biodiversity-sustainability-principles-v1-0.md125 linesmdSTR-VAL-0001-core-values-principles-v1-0.md127 linesmdSTR-GOV-0003-strategic-versioning-guidelines-v1-0.md263 linesmdSTR-GOV-0002-values-alignment-framework-v1-0.md173 linesmdSTR-GOV-0001-strategic-review-protocol-v1-0.md285 linesmd

Summary of Strategic Values Integration
Created document: /home/claude/tractatus-strategic-values-integration.md
Key Additions to Website Specification:
1. Core Values Deeply Embedded (not just mentioned):

Sovereignty & Self-Determination: No tracking, user-controlled engagement, open-source everything
Progressive Implementation: Phased rollout with clear rationale for each stage
Transparency & Honesty: Public moderation queue, AI reasoning visible, decisions documented
Harmlessness & Protection: Privacy-first design, no dark patterns, security audits
Community & Accessibility: Three audience paths, WCAG compliance, economic accessibility
Biodiversity & Sustainability: Alternative frameworks highlighted, green hosting, ecosystem thinking

2. Governance Frameworks Applied:

Strategic Review Protocol adapted for website operations
Values Alignment Framework with specific matrices for website features
Strategic Versioning applied to all website documentation
Tension resolution process (when values conflict)

3. Te Tiriti Integration Deepened:

From acknowledgement to partnership (consultation with Māori data sovereignty experts)
Protection (CARE principles guide data handling)
Participation (Te Reo Māori content, Māori leadership pathways)
Kaitiakitanga (guardianship mindset for future generations)

4. Tractatus Framework Self-Applied (Dogfooding):

All AI curation subject to human oversight (boundary enforcement)
AI suggestions validated against values (cross-reference validation)
AI provides self-assessment before human review (metacognitive verification)
Values decisions always escalate to humans (architectural guarantee)

5. Values-Aligned Metrics:

Not just traffic/engagement, but sovereignty metrics, transparency audits, community diversity
Success measured by embodying values, not arbitrary KPIs

6. Practical Implementation:

Values alignment checklist for every feature
Code examples showing values in architecture
Moderation queue with public transparency
Human oversight requirements clearly defined

What This Changes in Your Specification
You should integrate this Section 0 before your current Section 1 (Technical Architecture). It establishes the why and how before the what.
Critical implications:

The website isn't just about AI safety—it demonstrates AI safety through values-aligned governance
Every feature decision now includes a mandatory values alignment check
AI assistance (blog curation, media triage) follows Tractatus boundaries
Success = values embodiment, not growth metrics
