Why AI Pipelines Break: The Infrastructure, Not the Model

When autonomous AI systems fail, the culprit is rarely the model itself but the orchestration layer around it. This deep dive reveals critical infrastructure patterns—from execution control and data integrity to quality assurance—that separate production-grade pipelines from fragile prototypes, offering actionable solutions for each failure category.