0PricingLogin
AI Prompt Engineering · Lesson

What Are Guardrails

Safety and quality gates.

Guardrails Defined

Guardrails are programmatic checks that sit around an LLM to enforce safety, policy, and quality. They run on the way in (user input) and on the way out (model output), gating what reaches the model and what reaches the user.

The model is probabilistic; guardrails are deterministic policy enforcement layered on top.

Why Prompting Alone Is Insufficient

System-prompt instructions like 'never reveal secrets' are soft: they can be overridden by jailbreaks, eroded over long contexts, or ignored under distribution shift. Guardrails are hard because they are code outside the model that cannot be argued with.

Defense in depth: prompt the model and wrap it in independent checks.

All lessons in this course

  1. What Are Guardrails
  2. Input and Output Filtering
  3. Schema and Rule Validators
  4. Self-Critique Validation
← Back to AI Prompt Engineering