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The AI occasionally hallucinates fake promo policies or incorrect numbers - how do you install safety guardrails?

Audit and guardrail against critical hallucinations before public release

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Automated prompt safety review checking for jailbreaks, prompt injections, and sensitive data leakage.

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Detects and blocks jailbreak and prompt-injection attempts before they reach the main model.

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Action framework

  1. List mission-critical facts that must never be wrong (pricing, legal terms, refund policies, PII).
  2. Deploy input guardrails: detect and reject jailbreak attempts and adversarial prompt injection.
  3. Deploy output verification: use regex and rule validation to cross-check numbers, links, and promo codes against the database.
  4. Define a deterministic fallback: when model confidence drops or checks fail, redirect to safe canned responses or human support.
  5. Log 100% of guardrail interventions into a review dashboard to feed ongoing eval benchmark updates.

Before

"Add a system prompt note: 'always answer accurately, never make things up'."

After

"Added a deterministic post-check: all generated prices must match the database exactly; on any mismatch, intercept and output official pricing link."

Go deeper: Lesson 09 - AI Agents for PM