## 1. Implementation
- [ ] 1.1 Add YAML/runtime configuration surface and strict validation diagnostics for Monte Carlo analysis over component tolerances and model parameters with reproducible seeded runs.
- [ ] 1.2 Implement backend runtime path for Monte Carlo analysis over component tolerances and model parameters with reproducible seeded runs with deterministic behavior.
- [ ] 1.3 Expose Python API/bindings surface where applicable.
- [ ] 1.4 Add benchmark and regression coverage for nominal/failure scenarios.
- [ ] 1.5 Document user workflow and migration notes.
