ARVK Labs · Learn · Gen AI Explained

Guardrails & evaluation

Production AI isn't trusted blindly. Guardrails check requests on the way in and answers on the way out; evaluation scores quality so you know it's actually working — and catch it when it isn't.

Inputuser request Guardrailchecks input LLM / Agentgenerates Evaluatescores output Outputsafe ✓ unsafe request blocked ✗
Guard the inputBlock prompt-injection, unsafe or off-topic requests.
Guard the outputFilter unsafe or non-compliant answers before they ship.
EvaluateScore faithfulness, relevance & safety — continuously.
Guardrails keep an AI system safe and on-policy; evaluation keeps it measurably good over time. Skipping this layer is the difference between a demo and something a business can actually trust. It's a core phase of FORGE.
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