Post by EdgeVerve
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Our latest blog shows why AI agents that perform well in tests often fail in real environments. Traditional evaluation checks correctness but limits the agent’s behavior, reasoning path, tool selection, and recovery under stress. Agents can quietly waste tokens, make redundant calls, or fail unpredictably even when the answer appears correct. Real‑world evaluation demands a multidimensional view of quality, reasoning flow, and safety. Learn what your agent is actually doing behind the scenes. Read more here: https://lnkd.in/eSpkt_yj #EnterpriseAI #AIAgents #AIEvaluation #AIGovernance #ResponsibleAI #AIQualityEngineering #AISafety #EdgeVerveAINext Sateesh Seetharamiah | Arvind Rao | Shashidhar N | Naveen Malhotra | Swaminathan Natarajan | Sathish Kumar E V Om Narayan | Sukshitha Rao
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