In AI, an Agentic Trajectory maps the sequential reasoning and action steps an autonomous agent takes to solve a task. It’s used for debugging, optimizing workflows, and training models on effective decision-making. Developers, AI researchers, and enterprises deploying complex automation benefit by gaining transparency, improving agent reliability, and reducing operational errors.
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