guardrail-design

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

By owl-listener · 349 installs

npx skills add owl-listener/ai-design-skills --skill guardrail-design

Source repository · Upstream listing

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