Key insights from the documents are that building AI agents needs a systematic evaluation process using metrics and specific techniques including: assessing agent capabilities, evaluating trajectory and tool use and, evaluating the final response[2]. When writing an effective prompt, the main areas to consider are persona, task, context and format[4].
AI can help to improve workforce performance, automate routine operations, and powering products[3]. To build reliable agents, start with strong foundations via capable models with well-defined tools and clear, structured instructions[1]. When prompts contain too many conditional statements, dividing each logical segment across separate agents should be considered to maintain the clarity[1].
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