VitaBench: The Future of Real-World AI Agent Evaluation

🌱 VitaBench: Redefining How We Evaluate Real-World AI Agents When even the most powerful AI models achieve less than 30% success on complex real-world tasks, how do we measure and advance the next generation of intelligent agents? The Problem: Why Current AI Benchmarks Fall Short Large Language Models (LLMs) have made impressive strides in tool usage, reasoning, and multi-turn conversations. From OpenAI’s GPT series to Anthropic’s Claude and Google’s Gemini, every major model claims breakthrough capabilities as “intelligent assistants.” However, when we deploy these models in actual business scenarios, we discover a troubling reality: Lab performance ≠ Real-world effectiveness Existing …