AI video quality depends on structured pipelines that enforce character and scene consistency. Corroborated practices emphasize locking character design in a sheet with location atlases (153), detailed character descriptions with cinematic lighting in Seedance 2.0 (152), structured JSON prompts with ten isolated fields for camera behavior (188), combining Seedance 2.0 with GPT Image 2 for multi-scene films (150, 628), and storyboard-to-video transformation (187). Reliable workflows for profitable content include Claude for character design + ComfyUI + Kling (271), hyper-realistic UGC with GPT Image 2 + C-Design 2.0 (295), and automated ad campaigns from a single product photo (151). New corroborated practices include using structured shot language in Seedance 2.0 (763), Kling 3.0 motion control (527), and systematic pipelines with Claude and CapCut for local businesses (941). Emerging trends integrate multiple models via platforms like Morph Studio (452) and agent-based film production (155), but most newer practices remain unverified. Tools like Nano Banana 2 Lite (489), Topview Canvas (945), and Kling MCP (938) are expanding accessibility.