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DESCRIPTION:Most AI agent demos work flawlessly, until real users arrive. The gap between a compelling prototype and a dependable system is where this book begins.
Framing agent development as an engineering discipline, it centers on the core loop of Perceive, Plan, Act, and Observe as the foundation for building agents that are robust, interpretable, and scalable.
As a companion to Antonio Gulli’s Agentic Design Patterns, Building AI Agents carries the field’s emerging architectural vocabulary from concept into practice.
Where the earlier volume defines the patterns, this book implements them: showing how to translate agent design principles into reliable, production-ready systems.
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