# Appendix — Series Overview & Navigation [[Home|← Series Home]] | [[Glossary|Glossary →]] | [[References|References →]] --- ## Analytical Framework Every paper in this series applies a multi-disciplinary analytical team modeled on a military battle staff. Each perspective generates findings the others miss. | Role | Function | Framework | |------|----------|-----------| | **LSS-BB** | Lean Six Sigma Black Belt | DMAIC, DOWNTIME waste taxonomy, process capability assessment, statistical analysis | | **QASA** | Quality Assurance Standards Analyst | Source verification, citation integrity, cross-reference validation, publication readiness | | **ASS2** | AI Systems Security Specialist | Dependency risk mapping, supply chain vulnerabilities, API attack surface, data exposure | | **Creative Arts** | Field Test Practitioner | Hands-on product testing, visual evidence capture, professional workflow simulation | | **Observer-Controller** | Scope and Quality Manager | Phase gate enforcement, cross-series continuity, scope creep prevention | --- ## Paper Index | Paper | Title | Core Question | Key Evidence | |-------|-------|--------------|--------------| | [[Paper-1-The-Super-Intelligent-Five-Year-Old\|1]] | The Super Intelligent Five-Year-Old | Why does AI need doctrine? | Google/MIT 39-70% degradation; UC Berkeley 14 failure modes; Gartner 40% cancellation prediction | | [[Paper-2-The-Digital-Battle-Staff\|2]] | The Digital Battle Staff | Did the military already solve this? | 230 years of C2 doctrine; Pentagon AI Acceleration Strategy; Army MOS 49B; SOCOM agentic AI | | [[Paper-3-The-PARA-Experiment\|3]] | The PARA Experiment | What happens in a live multi-agent lab? | 1,768 commits; 33 days; 12 of 14 MAST failure modes observed; 3.83x velocity increase | | [[Paper-4-The-Creative-Middleman\|4]] | The Creative Middleman | What does the middleman trap look like? | Adobe Firefly field test; "BEARETIXSLUGE" vs readable text; 43% stock decline; DOWNTIME waste | | [[Paper-5-When-the-Cats-Talk-to-Each-Other\|5]] | When the Cats Talk to Each Other | What happens when AI models talk? | Claude-Grok live exchange; CMDP 8-component framework; 15-20% fidelity improvement; physics pilot | | [[Paper-6-When-the-Cats-Form-a-Team\|6]] | When the Cats Form a Team | What happens when four AI models staff a decision? | 4-model MDMP ensemble; 6 strategic insights solo missed; structured dissent catches blind spots | | [[Paper-6b-When-the-Cats-Take-the-Same-Test\|6b]] | When the Cats Take the Same Test | What happens with identical instructions? | 51% quality variance (n=6); bimodal distribution; provenance crisis; composite protocol ready | --- ## Related - [[Index - Published]] — parent folder