Layered validation for agent outputs: what each layer can actually prove
Most agents have one validator and it passes well-formed nonsense. The four validation layers, what each can prove, and how to test guardrails in CI.
Pillar
Agentic AI in production
How to run LLM agents as production software rather than as demos: evaluation harnesses, validation layers, cost control and failure handling. Written for the engineers who own an agent after launch.
Agent evaluation: building a regression harness for non-deterministic systems
Agent evaluation breaks when a flaky score reads as a regression. Mine a golden set from real traces, measure the noise floor, gate on the right thing.