Why Architecture Matters: Designing AI Agents That Think, Not Just Pattern-Match

The article argues that intelligent agent behavior in production isn't determined by model capability alone, but by architectural design—specifically how agents plan, coordinate, and adapt. By replacing fixed sequential workflows with hierarchical planning where manager agents decompose tasks and dynamically adjust to unexpected results, systems evolve from brittle demos to robust, reliable solutions for complex real-world problems.