True autonomy requires more than just putting AI in the driver's seat. To genuinely support your engineering and business goals, Agentic AI systems must be capable of growing and evolving on their own. In this talk, we will explore the cutting-edge strategies Metropolis uses to build highly adaptive, goal-oriented AI systems, including: →Enabling strict spec-driven design by embedding resilient guardrails and system contracts →Engineering domain-driven design to feed Agents the precise context they need to succeed → Mastering the buy-vs-build decision loop for agentic features and harnesses Beyond the infrastructre, we will showcase how Metropolis was inspired by neural system concepts, system dynamics, control theory, and cybernetics to build a new generation of systems that learn and grow. These are the systems that eliminate waste, keep our systems stable, and achieve measurable goals with proven ROI. True self-driving behavior