The Quality Lead has executed iterative Hill Climbing on the reasoning layer. Output stability and factual grounding have been verified against the golden dataset.

## 🧗 Optimization Evidence

    🧗 Starting Hill Climbing Optimization...
    🔄 Iteration 1: 0.82 Score
       - Hallucination detected in edge case: #342
    🔄 Iteration 3: 0.89 Score
       - Prompt refined: Added negative constraints.
    🔄 Iteration 5: 0.94 Score (Optimal)
    ✨ Final Model Config: gemini-1.5-pro | temp: 0.7
    ✅ Performance uplift: +12% accuracy gain.