manage-project

Automating project.json updates requires a deterministic, script-driven workflow that detects split points and bulk-updates characters, scenes, and props. This approach uses a progressive split workflow to preview cuts before executing them across episodes.

The best way to preview content cuts is using a peek_split_point mechanism to detect exact cut points before execution. This ensures deterministic episode splitting by validating the split point before carving episode_01 and _remaining.txt.

Batch adding characters, scenes, and props requires a bulk asset management tool that writes directly to project.json. This automates asset batching by applying progressive updates to the project file without manual entry.

Workflow automation can query model capabilities for video duration planning using a get_video_capabilities function. This allows you to determine supported video lengths during project orchestration before committing to episode splits.

Project management automation for media workflows can run without external dependencies by using internal scripts. The deterministic workflow handles episode splitting and asset batching natively through script-driven execution, preview, and validation.

Deterministic workflow validation matters because it ensures predictable, repeatable episode splitting results in project.json. By previewing split points and validating execution, you prevent data corruption during bulk asset updates and episode carving.