“Forewarned is forearmed; to be prepared is half the victory.” — Don Quixote Most genAI projects disappear after the demo. Few teams actually document what worked and why. This session breaks down how to capture the technical guts of your AI workflows: the automations, pipelines, and orchestration layers that make things run in production. Learn how to version, share, and scale your systems so the next engineer doesn’t have to start from scratch. Key takeaways: → Real-world examples of how engineering teams document genAI architectures and data flows. → Practical methods for making internal workflows reproducible and shareable. → How to turn ad-hoc AI builds into reusable modules others can trust.