Design output verification pipeline for {{model}} in {{critical_application}}. Step 1: Identify high-risk output categories Step 2: Define verification criteria for each category Step 3: Design automated checks (format, bounds, consistency) Step 4: Add human review triggers for edge cases Step 5: Estimate false positive and negative rates Step 6: Optimize pipeline for {{latency_budget}} Explain design tradeoffs at each step.
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AnalysisUse Cases
Verification designPipeline creationQuality assurance
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claude-opus-4.5gpt-5.2gemini-2.0-flash
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