Guardrails

Portable constraints your team can reuse.

Keep the good judgment, boundaries, and safety checks that should travel with every Context and Workflow.

A Guardrail is a reusable policy layer for AI work. Attach it once, compile it efficiently, and carry it through the flows where it matters.

Ask before destructive actions, publishing, billing changes, or external sends.

Prevent secrets, personal data, or sensitive logs from leaking in outputs.

Require clarification or escalation instead of guessing when confidence is too low.

Browse Public Guardrails

Require confirmation before continuing with unusually long compiled prompts.

Present a recommended path clearly before making changes or applying it automatically.

Block attempts to gather, dump, or forward credentials or authentication material.

Require redaction before returning logs, traces, or config output that may contain sensitive values.

Redact or avoid exposing personal, private, or sensitive user data unless it is strictly required.