AI Observatory

Safety and Policy Guardrails

AI support should be useful while avoiding unsafe root promises, billing confusion, privacy leaks, and unsupported compatibility claims.

Public surface

Safety and Policy Guardrails

Safety rules keep AI aligned with CRYA policy, Play readiness, and user trust. Risky device, root, billing, and account topics need careful routing.

Root caution

No universal claims for QMG, system paths, root modules, or firmware behavior.

Device
Billing clarity

Premium, clean exports, and paid packs stay separate and privately verified.

Billing
Privacy

No passwords, purchase tokens, private links, or account data in public answers.

Privacy
Escalation

High-risk issues move to docs, support, or admin review.

Escalate
What belongs here
Sensitive topicsRoot/system changes, refunds, account deletion, moderation, private data, and legal/policy questions.
Answer styleCalm, evidence-first, no panic, no overclaiming, and clear next steps.
Play readinessAI must not encourage permission misuse, deceptive billing, or unsafe device actions.
AuditSafety rules, prompts, and rejected answers should be reviewable by admin users.

Workflow

How this should work

A public page should explain the user path while protected state, permissions, and audit trails stay in CRYA Mission Control.

1Classify risk

Detect device/root, billing, privacy, or policy-sensitive request.

2Use safe template

Answer with limits and evidence requirements.

3Escalate

Route private/high-risk cases.

4Record learning

Improve docs after reviewed outcomes.

Related surfaces

Continue the journey

Move between public discovery, creator guidance, store trust, and support evidence without exposing private admin systems.