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