Use case
AI Agent Evaluation by Professionals
Agent evaluation assesses multi-step tool use, planning, and task completion rather than a single generated answer. A fluent final message can follow a harmful, wasteful, or incorrect trajectory.
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What is ai agent evaluation by professionals
Agent evaluation assesses multi-step tool use, planning, and task completion rather than a single generated answer. A fluent final message can follow a harmful, wasteful, or incorrect trajectory.
The problem this use case solves
Single-turn LLM scoring misses whether the agent queried the wrong source, skipped a required check, or took an irreversible action before apologizing.
Work experts can run
- Trajectory review of tool calls and recoveries
- Task-completion scoring against a professional standard
- Repository-level software agent review
- Research-agent citation and method checks
- Red-team scenarios written from practice
Common mistakes
- Scoring only the last paragraph
- Treating passing unit tests as a complete software-agent bar
- Ignoring omitted steps that a professional would require
Need this capacity for a live program?
Share the profession, specialty, experience, location, headcount, hours, duration, and project description. We assemble the expert capacity.
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