4 articles
Master the pathology of AI systems. Learn to diagnose the four most common ways AI agents fail—from tool hallucinations to logical loops—and how to build architectural defenses for each.
Master the resilience of AI systems. Learn how to implement 'Smart Retries' that give Claude the technical feedback it needs to correct its own errors without entering a loop of failure.
Master the safety of AI actions. Learn how to design tools that are safe to retry and how to manage side-effects in systems where agents might accidentally double-click a button.
Master the final verification layer. Learn how to implement code-based validation loops to catch, correct, and re-process any JSON outputs that deviate from your schema.