Brand‑safe anime content is visually engaging, age‑appropriate, respectful, and compliant with platform and advertiser policies. It avoids explicit nudity, minors in risky contexts, graphic violence, hateful or extremist symbols, and unlicensed use of protected IP.

Success criteria:

• Meets platform/advertiser guidelines (e.g., advertiser‑friendly content policies)
• Contains no explicit/graphic content; avoids sexualized minors entirely
• No hate, harassment, self‑harm encouragement, or extremist iconography
• No confusing use of copyrighted characters, logos, or trade dress
• Traceable workflow with logged prompts, settings, approvals

• Prompts: ambiguous age terms, suggestive descriptors, violent/gory detail, hate symbols, brand logos
• Models/datasets: training on copyrighted characters, unclear licenses, poor safety ratings
• Output drift: model style pushes anatomy/clothing toward NSFW
• Regional norms: stricter rules for depictions of minors and suggestive content in many markets
• Distribution: ad network rules, app store assets, social network content policies

Use a simple Y/N matrix everyone understands:

Allowed:

• Stylized characters with neutral or wholesome themes
• Non‑graphic fantasy action; no visible gore
• Original characters and public‑domain motifs
• School/young settings only when clearly non‑suggestive and age‑appropriate

Not allowed:

• Sexualized depictions of minors, implied or ambiguous age content
• Explicit nudity, fetish content, or graphic violence/gore
• Hate, harassment, extremist or criminal glorification
• Unlicensed copyrighted characters, logos, or brand marks

Escalate for review:

• Edgy fashion or borderline suggestive posing
• Parody/satire touching on recognizable franchises
• Cultural/religious symbols that may be sensitive

• Prefer models with safety notes/model cards and opt‑out compliance
• Use datasets that exclude copyrighted characters and NSFW tags
• Maintain a blocklist of artists/series/characters when license is absent
• Validate with pre‑production test batches through NSFW and IP detectors
• Record licenses for any stock, textures, or backgrounds included

Do:

• Specify age‑neutral or adult‑professional framing (e.g., “adult hero,” “office team”)
• Define coverage and attire explicitly (e.g., “modest streetwear,” “business casual”)
• Emphasize wholesome tone and setting (e.g., “cozy, friendly, slice‑of‑life”)
• Constrain anatomy/pose (e.g., “natural standing pose, neutral expression”)

Avoid:

• Ambiguous age words without adult qualifiers
• Suggestive descriptors and fetishized body terms
• Brand or trademark names unless licensed

Prompt template snippet:

• Style: “clean, colorful TV‑safe anime”
• Character: “adult, gender-neutral or adult hero, modest attire”
• Pose: “standing, neutral, friendly”
• Scene: “daylight public space, school exterior without suggestive framing”
• Safety: “no nudity, no gore, no logos, advertiser‑friendly”

• Prompt filters: denylists (age ambiguity, suggestive terms, hate symbols), allowlists for attire/poses
• Image classifiers: NSFW probability, violence/gore, hate symbol detectors
• IP checks: logo detection, character look‑alike similarity search
• Regional gates: stricter thresholds per locale
• Watermarking and content hashing: trace versions, prevent reuse of rejected images
• Failsafes: auto‑blur/redact or hard block with incident logging

Stages:

1. Pre‑gen: prompt validated by policy bot → human creator
2. Generation: batch create with safe presets
3. Automated triage: pass/fail via classifiers; borderline → queue
4. Human review: second‑pair approval for borderline pieces
5. Final QA: platform‑specific checks (ad sizes, thumbnails)
6. Publish: watermark/log; archive prompts, seeds, settings

RACI:

• Responsible: Creator for prompts; Reviewer for approvals
• Accountable: Content lead
• Consulted: Legal/brand when needed
• Informed: Marketing/Channel ops

• Keep prompt logs, seeds, model versions, classifier scores, reviewer decisions
• Store releases/licenses for any brand partnerships
• Maintain regional overrides and date‑stamped policy versions
• Run quarterly audits on false positive/negative rates
• Note: This hub is not legal advice—confirm requirements with counsel

• Automated pass rate ≥ 95%
• Human overturn rate ≤ 3%
• Unsafe escape rate (post‑publish incidents) = 0
• Time‑to‑approval SLA (e.g., < 24h for borderline items)
• Coverage of logs (100% prompts and outputs linked)
• Trend of blocked terms usage ↓ over time

Instead of: “schoolgirl glamour pose” → “adult student in modest campus attire, natural pose, friendly smile”

Instead of: “bloody battle scene” → “dynamic action scene with implied impact, no wounds or gore”

Instead of: “famous franchise hero look‑alike” → “original sci‑fi adventurer, unique color palette, no trademarked symbols”

Instead of: “street brand logo hoodie” → “generic graphic hoodie, abstract emblem, non‑trademarked shapes”

• Policy applied: latest version referenced
• Prompts validated against denylist/allowlist
• Classifier thresholds per region set
• IP/logo scan completed
• Human review completed for borderlines
• Watermark/hashing enabled; logs stored
• Platform‑specific guidelines passed (ad, app store, social)