In the current phase of autonomous AI agents, where systems are designed to reason, decide, and act independently, one critical aspect often remains underemphasized — evaluation. Building agents that…

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A comprehensive guide to evaluating AI agents through three critical dimensions: accuracy, performance, and reliability. The article presents a practical experiment using the Agno framework to systematically assess AI agents powered by GPT-4.1 and Claude models. It demonstrates how to measure agent correctness against expected answers, monitor resource consumption and response times, and verify proper tool usage. The implementation includes modular evaluation scripts, MongoDB storage for results, and dashboard visualization, emphasizing that rigorous evaluation is essential for building trustworthy, production-ready AI agents.

Building Trustworthy AI Agents: The Role of Accuracy, Performance, and Reliability