Launching Verdic Guard — Keep LLM outputs aligned and hallucination-free
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...
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:...