AI video quality depends on enforcing character and scene consistency through structured pipelines. Corroborated practices include locking character design in a sheet with location-specific atlases (153), using detailed character descriptions and cinematic lighting in Seedance 2.0 for Pixar-style animation (152), employing structured JSON prompts with ten isolated fields for consistent camera behavior (188), combining Seedance 2.0 with GPT image 2 for multi-scene short films (150, 187), and using Claude for character design, ComfyUI for face generation, and Kling for video creation in AI influencer videos (271). Additional corroborated practices include using GPT Image 2 with iPhone-style keywords and C-Design 2.0 for hyper-realistic AI UGC (295), generating full ad campaigns from one product photo and a moodboard via Claude (151), creating viral AI kids shows with Claude, Suno, Kling/Luma, and ffmpeg+Whisper (294), feeding Seedance 2.0 a structured character sheet and shot-by-shot breakdown for consistent character identity (766), and using Kling MCP for Claude to analyze references and generate videos (938). Emerging trends integrate multiple models via platforms like Morph Studio (452) and use agent-based film production with ViMax (155). However, most newer practices remain emerging and lack broad corroboration.