FDRP

Planning for complex systems lacks the convergence metrics and defect detection that manufacturing achieved through six decades of statistical process control. FDRP addresses this gap by treating each planning decision as a manufactured artifact with measurable convergence and gate-reviewed quality, applying SPC, 5S, RAMS, Andon, and configuration freeze directly to planning. Applied across 58 production runs (1,279 decisions), the system's strongest empirical contribution is the antimatter building programme: 292 LLM-generated expert specialists across five rounds produced 87,000+ lines of analysis and 6,052 structured findings, discovering expert persistence as an emergent operational pattern. Cross-model verification with 3 independent LLMs revealed 4 systematic bias patterns, suggesting that N≥3 models are needed for blind spot detection. Cross-domain validation on earthquake seismology and power grid data provides preliminary evidence that the sparse-principle thesis generalises. We propose progressive disclosure as the unifying architecture—a hypothesis under test.