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In this webinar, Jordan Treviño (Telos Labs) joins Cody Watters (Riveter), Ken Kantzer (Truss), and Colleen Schnettler (Ruby AI) to explore how AI agents and AI-assisted engineering are changing software development in production systems. As AI capabilities accelerate, the challenge is no longer writing code. The real bottleneck is controlling AI-generated systems, managing state, enforcing constraints, and maintaining architectural consistency in real-world applications. This discussion explores how Ruby on Rails may offer structural advantages for building and operating AI-powered systems, including: • Designing AI agents that interact safely with production infrastructure • Managing state, constraints, and security boundaries in agentic systems • Lessons from deploying AI in production environments • Whether frameworks like Rails enable faster and safer AI system development If you are a CTO, engineering leader, or product builder deploying AI inside real systems, this conversation offers practical insights from teams building AI-powered software in fintech and other high-trust industries. Topics include: Agentic engineering and AI-assisted development Rails architecture for AI systems Production infrastructure for AI agents Controlling AI-generated output in real applications Engineering challenges when AI meets real systems Telos Labs works with organizations building AI-powered systems in fintech, financial services, and other high-trust environments.