Automation Level

Automation Level

Evolution of Automation

Level 0 (POC) - Current

Philosophy: Demonstrate AI-generated publication with quality oversight

Key Feature: POC explicitly publishes AI-generated content (Mode 2), demonstrating scalable publication model with quality gates.

Automation:

• Risk tier classification
• Quality gates enforcement
• Contradiction search
• AI-draft publication (Tier C, some Tier B)

Human Role:

• Tier A review
• Audit sampling (recommendations: 30-50% A, 10-20% B, 5-10% C)
• Quality standard refinement

Level 1 (Beta 0)

Philosophy: Scale AI publication while maintaining quality through audits

Automation:

• Expanded AI publication (most Tier B, all Tier C)
• Mature contradiction detection
• Cross-scenario analysis

Human Role:

• Tier A oversight
• Continued audits (rates adjust as confidence increases)
• Expert domain validation

Level 2 (Release 1.0)

Philosophy: Efficient AI publication with strategic human oversight

Automation:

• Comprehensive AI generation and publication
• Federated knowledge sharing
• Advanced anomaly detection

Human Role:

• Tier A final approval
• Strategic audits (high-value sampling)
• Policy and ethics decisions

Level 3 (Future)

Philosophy: Distributed intelligence with human governance

Automation:

• Cross-node contradiction detection
• Shared audit learnings
• Sophisticated bubble detection

Human Role:

• Governance
• Ethical oversight
• Tier A authority
• Conflict resolution

Important Note

All numeric values (sampling rates, percentages) are recommendations, not fixed rules. Actual rates determined by:

• Audit performance metrics
• Domain-specific requirements
• Community consensus
• Governing Team decisions