Making AI Agents Predictable: Schema Enforcement as System Backbone

Parameter hallucination—where AI agents send unexpected data types—has been a critical failure point in production systems, causing infinite retry loops and crashes. This article demonstrates how strict schema enforcement eliminates guesswork, enabling AI agents to validate outputs and self-correct without human intervention. For teams building reliable AI systems, robust data contracts are no longer optional but the foundational requirement for stability.