Beyond SAGA: Designing Reliability for Probabilistic AI Workflows

SAGA successfully solved distributed transaction problems in deterministic microservices environments, but agentic AI systems operate in a fundamentally different, probabilistic world. Unlike deterministic API responses with known contracts, AI agents produce semantically unpredictable outputs—hallucinations and confident errors that traditional compensation logic cannot address. Agent Harness provides an architectural framework designed specifically for this probabilistic nature of LLM-driven workflows.