This article details a method for building and evaluating AI agents, emphasizing the importance of creating an evaluation set before the agent itself is developed. The author argues that developing the evaluation set first ensures the agent is measured against a defined target rather than its own existing behavior. The evaluation set should include checks for the final outcome, the sequence of tool calls (trajectory), and specific policy constraints, with examples provided for different case buckets like 'hard' and 'edge'. AI
IMPACT Provides a practical methodology for developers to improve the reliability and accuracy of AI agents through structured evaluation.
RANK_REASON The article describes a specific development technique for AI agents, focusing on practical implementation and evaluation strategies rather than a new model release or significant industry shift.
- Escalated Therapy of Scabies With INFECTOSCAB 5% (Permethrin)
- eval set
- AI agent
- issue_refund
- order_lookup
- refund_eligibility
- refund_proposed
- tool contracts
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