Beyond Hallucinations: Building Deterministic Safety Nets for AI Agents

As AI moves from experimental demos to core dependencies, developers must shift from single-prompt requests to multi-step validation loops. Treating LLM output as untrusted input and implementing deterministic fallback strategies is essential for creating reliable, production-ready agentic workflows.