Three types of AI agents are already deployed in production engineering environments today. CAD review and drawing review agents analyze models and drawings, identify design risks like DFM issues, flag ambiguous or incomplete notes, check title blocks and BOM consistency, and compare designs against libraries of organizational standards. Simulation setup agents help streamline FEA and simulation configuration by interpreting documentation, recommending boundary conditions, and reducing time spent on repetitive setup tasks. Lessons learned agents continuously capture design issues and feedback during reviews, store them in a centralized system, identify similarities between past and current programs, and proactively surface relevant lessons during new design work.