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Artificial Intelligence Development and Agent Optimization - AI agents require explicit definition of completion criteria, such as flagging transactions exceeding 200 dollars without matching receipts into table formats[2] - Forcing structured outputs like JSON or fixed tables ensures verifiability rather than relying on free text[2] - Restricting tool access specifically per task rather than granting global read access improves decision-making quality for AI agents[3] Operational Efficiency and Error Reduction - Implementing a self-check pass allows the AI agent to verify its output against original instructions and list missing requirements before finalization[1] - The self-check validation step catches more errors effectively compared to standard prompt wording adjustments[1]