In this tutorial, we dive deep into how we systematically benchmark agentic components by evaluating multiple reasoning strategies across diverse tasks. We explore how different architectures, such as Direct, Chain-of-Thought, ReAct, and Reflexion, behave when faced with problems of increasing difficulty, and we quantify their accuracy, efficiency, latency, and tool-usage patterns. By conducting controlled empirical […] The post An Implementation of a Comprehensive Empirical Framework for Benchmarking Reasoning Strategies in Modern Agentic AI Systems appeared first on MarkTechPost .