Fallback Chains: What the Agent Does When the Tool Is Down
Learn what your AI agent should do when a tool dependency is down: designed fallback ladders with decreasing fidelity, degraded results that carry provenance the model can honor, staleness budgets for reads versus durable queues for writes, per-rung breakers, and a CI test that kills the primary and proves the agent still answers honestly.