Series Overview & Navigation
Appendix — Series Overview & Navigation
Section titled “Appendix — Series Overview & Navigation”← Series Home | Glossary → | References →
Analytical Framework
Section titled “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 | Automation, Structure & Scalability, Safety & Security | Three-domain review applied together: automation potential, structural scalability, and safety/security posture. Flat, equal-weight framework — not a single-lens analysis. |
| 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
Section titled “Paper Index”| Paper | Title | Core Question | Key Evidence |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 4 | The Creative Middleman | What does the middleman trap look like? | Adobe Firefly field test; “BEARETIXSLUGE” vs readable text; 43% stock decline; DOWNTIME waste |
| 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 |
| 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 |
| 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 |
| 7 | MDMP Platform Blueprint | Can doctrine-structured decision-making be productized? | Conversational MDMP platform spec; ROTC-to-enterprise scale; distributed authority model; human-in-the-loop architecture |
| 8 | The Toboggan Doctrine | Why channels, not walls, for AI governance? | Gravity-fed pipeline doctrine; template-driven governance; OODA + DMAIC integration; structural enforcement over behavioral instruction |
Case Studies
Section titled “Case Studies”| # | Title | Core Question | Key Evidence |
|---|---|---|---|
| 1 | When the AI Stopped Moving Its Own Files | Can Lean Six Sigma replace a 477-line AI agent? | 1,160-line shell script replaces agent; 87% tool call reduction; 83% time reduction; process sigma 3.2 → 4.6 |
Related
Section titled “Related”- Index - Published — parent folder