“Researchers introduce Credo, a declarative approach to controlling LLM pipelines using beliefs and policies rather than imperative code. This addresses a critical gap in agentic AI systems by making agent decision-making more transparent, auditable, and adaptable to new evidence—essential for deploying long-lived AI agents in real-world applications where correctness and explainability are paramount.”