Mastering Seedance 2.5 JSON Prompts with Claude, GPT & Kimi Workflow for AI Shorts

The material advocates a JSON-first workflow for producing 30-second, native 4K AI videos with Seedance 2.5, arguing that structured schemas provide more reliable control over shot sequencing, character references, camera movements, lighting, transitions, and synchronized audio than freeform text prompts. It proposes a three-model pipeline in which Kimi processes long scripts and indexes multimodal assets, Claude translates story beats into structured video-prompt JSON, and GPT-4o expands, validates, and repairs the resulting payloads before generation. The workflow emphasizes using up to 50 image, video, and audio references to maintain identity and style, explicit shot IDs to encourage hard cuts, and audio directives to support native dialogue and sound-effect synchronization. It also describes API-based rendering, localized video in-painting for correcting isolated artifacts without regenerating an entire scene, and practices intended to reduce character drift, prevent malformed JSON, manage moderation issues, and scale automated video production for advertising, narrative, and content-publishing use cases.

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