Conversation Tagging & Analysis daily: Review and tag AI-customer interactions to identify patterns, errors, and opportunities for improvement.
Root Cause Identification: Analyze failure points in AI conversations, summarize root causes, and identify bottlenecks in the AI's logic or knowledge base.
Model Capability Assessment: Maintain a deep understanding of the underlying AI models' mechanisms and limitations. Evaluate how well the AI handles specific queries and propose improvements based on its technical constraints.
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