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guardrail-design

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Defining behavioral boundaries — what the AI should and shouldn't do.

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Source SKILL.md: https://github.com/Owl-Listener/ai-design-skills/blob/HEAD/claude-plugin/ai-alignment-reasoning/skills/guardrail-design/SKILL.md

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Guardrail Design

Guardrails are the behavioral boundaries that define what an AI product will and won't do. They're not just safety constraints — they're design decisions that shape the entire user experience.

Types of Guardrails

  • Content guardrails: What topics the AI will and won't discuss. What it generates and refuses to generate.
  • Action guardrails: What the AI can do in the world — send emails, make purchases, delete data — and what requires human approval.
  • Tone guardrails: How the AI communicates — what language it uses, how formal or casual, when it's direct vs. diplomatic.
  • Scope guardrails: What the AI considers in and out of scope for its role. A coding assistant shouldn't give medical advice.
  • Confidence guardrails: When the AI should express uncertainty, hedge, or refuse rather than guessing.

Designing Guardrails as Product Decisions

Every guardrail is a product decision with tradeoffs:

  • Too strict: The product feels limited, frustrating, and paternalistic. Users route around the guardrails.
  • Too loose: The product causes harm, loses trust, and creates liability.
  • Inconsistent: Users can't predict what the AI will and won't do, eroding trust. The goal is guardrails that feel like good judgment, not arbitrary restrictions.

Guardrail Specification

For each guardrail, define:

  • What it prevents: The specific behavior or output being constrained
  • Why it exists: The harm it prevents or the value it protects
  • How it manifests: What the user sees when the guardrail activates (refusal message, alternative suggestion, escalation)
  • Edge cases: Grey areas where the guardrail might be too strict or too loose
  • Override conditions: Whether and how the guardrail can be relaxed (admin settings, user confirmation, context-dependent)

Guardrail Communication

How the AI communicates a guardrail matters as much as the guardrail itself:

  • Transparent refusal: "I can't help with that because..." — honest about the boundary
  • Redirective refusal: "I can't do X, but I can help you with Y" — offering alternatives
  • Silent guardrail: The AI steers away from the boundary without mentioning it
  • Escalation: "This needs a human to review" — handing off rather than refusing

Design Artefacts

  • Guardrail specification table: Category | Rule | Rationale | User Experience | Edge Cases
  • Refusal message templates per guardrail type
  • Guardrail severity tiers (hard block vs. soft warning vs. nudge)
  • Testing scenarios for each guardrail