How are you enforcing intent and scope for LLM outputs in production?

We’re launching Verdic today (verdic.dev) after repeatedly seeing prompt engineering break down in real production workflows—LLMs drift, hallucinate, or violate scope as systems get more complex.

Verdic adds a runtime validation and enforcement layer that checks outputs before they reach users, keeping AI aligned with defined intent and contracts.

Curious how others here handle this today:

• Prompts only?

• Monitoring after the fact?

• Runtime enforcement?