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Safety
Published Jun 20, 2026
8 min read
A Product Safety Guide to Spicy AI Image Generation, Consent, and Privacy
Design clear policy, age assurance, and appeals around the boundary between lawful adult content and severe abuse.
Key takeawayUnrestricted is not a product advantage. Enforceable, transparent boundaries that protect real people are a durable capability.
Why this deserves its own decision
Adult-content queries attract substantial demand, but marketing a product as unrestricted also attracts abuse involving minors, non-consensual real people, sexual extortion, impersonation, and privacy harm. A product must define absolute prohibitions before any allowed scope.
Decision framework
- Prohibit minors or age-ambiguous subjects, non-consensual real people, and coercive content.
- Age assurance, regional law, payment rules, and app-store policy jointly determine availability.
- Policy covers prompts, references, edits, sharing, and storage—not only final pixels.
Putting it into a ModelRush workflow
Before ModelRush routing, enforce age and regional eligibility, classify inputs, and assess real-person risk. Reject or review high-risk jobs, retain provenance, and restrict public sharing. Provide fast appeals, reporting, and deletion while protecting reviewer wellbeing.
What to measure after launch
- Severe-abuse blocks, miss reviews, and repeat-offender accounts.
- Time from report to action, deletion, and victim response.
- False positives, appeals, and regional risk after policy changes.
Unrestricted is not a product advantage. Enforceable, transparent boundaries that protect real people are a durable capability.
Next steps
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Apply the article's framework to live models by capability, I/O, price, and region.Keep reading
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