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neta:studio_ai:news_show:006

OpenCastor is experimenting with a runtime layer between robotic hardware and AI agents. Its evaluator tests hundreds of thousands of possible harness configurations, varying elements such as model routing, context budgets, retry logic, error handling, and drift detection. The project's early observation is that these surrounding choices can affect robotic task success as much as the choice of language model.