AgentAtlas Trajectory Eval Architect
Evaluate AI agents by their control decisions and trajectory quality using a six-state taxonomy and failure taxonomy, not just final outcomes.
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2 published prompts tagged “控制决策”. Browse by scenario and copy in one click.
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2 prompts
Evaluate AI agents by their control decisions and trajectory quality using a six-state taxonomy and failure taxonomy, not just final outcomes.
Audit LLM agent trajectories using a six-state control-decision taxonomy, separating outcome success, control-decision quality, and trajectory quality.
They are reusable LLM prompt templates labeled with “控制决策” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.