1. IP Provenance & Copyright Protection: How do we legally vet the training data of the AI tools we use to ensure our studio is shielded from copyright infringement lawsuits and can officially trademark our final game assets?
2. Platform Compliance (Steam & Consoles): What exact documentation and version-control processes must we implement to prove sufficient human authorship and pass Valve's strict AI-content disclosure policies?
3. Internal Morale & Workflow Integration: How do we seamlessly introduce generative tools as creative accelerators rather than replacements, ensuring our in-house artists and writers feel empowered as curators rather than alienated?
4. Public Relations & Brand Reputation: How transparent should our marketing and community management be regarding AI usage to avoid severe PR backlash and review-bombing from Western players who actively advocate for human creatives?
5. Technical Debt & Code Maintainability: If our engineering teams heavily utilize AI copilots, how do we enforce strict code reviews to prevent the accumulation of undocumented, "black-box" architecture that becomes impossible to debug post-launch?
6. Data Privacy & IP Leakage: What enterprise-level security measures must be in place to ensure our proprietary source code, lore bibles, and design documents aren't inadvertently fed back into public LLM training datasets?
7. Artistic Consistency at Scale: What pipeline structures and specific human checkpoints are necessary for our Art Directors to unify AI-generated outputs and prevent the game from adopting a disjointed, cheap aesthetic?
8. LiveOps & Cloud Infrastructure Costs: If we integrate real-time generative features like dynamic LLM-driven NPC dialogue, do the ongoing API token costs scale sustainably with our premium or live-service monetization models?
