Prompt engineering works in demos but breaks in production. As LLM workflows get longer and more complex, outputs drift, hallucinate, or violate intent in ways prompts and retries can t reliably prevent.
Verdic Guard (https://www.verdic.dev/ )adds a runtime validation and enforcement layer between the LLM and your application. Every output is checked before it reaches users against defined scope, contracts, and constraints so behavior stays predictable and auditable.
It s not a model or a prompt library. It s trust infrastructure for LLMs: built to prevent hallucinations, enforce intent, and make AI outputs defensible in real systems.
We re launching today and would love feedback from teams running LLMs 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.
