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v1
Diagnoses and strips extraneous context from any AI prompt, leaving only high-signal instructions. Reduces hallucination, improves output consistency, and sharpens model focus—critical for production AI systems where accuracy is non-negotiable.
1. Use `deployment_context` honestly — a casual chatbot and a medical triage tool require different signal thresholds, and the optimizer calibrates accordingly. 2. Run this on prompts that are already working but producing inconsistent outputs; noise is often the hidden cause of variance, not model capability. 3. After optimization, A/B test the original vs. optimized prompt on 10–20 real inputs before deploying to production — the Accuracy Delta score is an estimate, not a guarantee.
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