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This cluster covers AI-powered agents and automation solutions to assist and automate business processes, orchestrate distributed systems, and execute repetitive tasks.
Scope: Configurations, metrics, tests and approved test cases for assessing operational stability, fault tolerance and performance consistency of AI agents and automation pipelines in production environments. Exclusion: No implementation guides, no training data or model design details and no organizational governance directives. Focus on monitoring metrics, failure classes, recovery procedures, test scripts and specifications.
Core strategies for detecting, classifying and handling errors in software systems.
Concept for defining alternative behaviors when primary functions fail to preserve availability and user experience.