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

Seedance 2.5 introduces a structured JSON schema approach for generating production-grade AI short films, moving away from unformatted text prompts to enhance cinematic consistency and efficiency. By implementing a multi-LLM pipeline involving Claude for narrative arc parsing and schema compliance, GPT for prompt expansion and JSON validation, and Kimi for long-context script processing, creators achieve automation of multi-shot storytelling in 30-second native 4K clips, utilizing up to 50 multimodal inputs. This approach addresses common issues such as character drift and visual inconsistencies by anchoring character identity through explicit multimodal references and structured shot lists, ensuring precise execution of camera movements and sound synchronization. The JSON-based framework separates key cinematic components into clear parameters, improving the reliability of narrative execution while reducing the time and cost associated with traditional trial-and-error methods. This workflow allows seamless integration with Seedance 2.5’s capabilities, including native audio rendering, region-level editing, and maintaining scene coherence, ultimately streamlining the AI film production process.

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