Agent reasoning is the cognitive capability that enables AI agents to independently think through problems, make informed decisions, and adapt strategies over time. This involves breaking down complex objectives into smaller, manageable steps; evaluating context and constraints; learning from previous outcomes; and making course corrections as needed. Effective agent reasoning transforms AI from a reactive tool into a proactive collaborator capable of navigating ambiguity and delivering outcomes that align with higher-level business goals.
