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v1.1: interview questions are GENERATED from the existing (Master) Controls, not hand-written. Three building blocks: Control->question_intent (corpus/Execution), ~30-40 Master Question Templates (Reasoning), Transition-Prioritization (certs decide which generated questions can be skipped; 217->19 funnel, reuses Company 2A + cert map). v1.2: knowledge production. LLMs produce the first expert DRAFT (the prioritization per transition); BreakPilot reviews + versions + OWNS the canonical library (in Git, not the AI; model-independent, MDQ-00127 v4). Offline multi-model workflow, NOT runtime (deterministic-first: LLM offline-propose, never online-mutate). Hard boundary: the library is an expert DRAFT, not a normative/legal proof -- "cert probably covers X" is Welt-1 (ClaimCoverage), never "erfuellt" (anti-fake-evidence). Reframes the 100 seed questions as validation/template-extraction set. Spec only, no code; non-runtime docs -> no deploy (ADR-001). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>