Video Workbench

Video Workbench is the local execution workspace for dimensional video and slide-style output. It receives GPT planning material from the user, keeps lightweight project records, and produces local assets such as prompts, images, narration audio, slide/page files, and handoff notes.

It is a sibling of Writing Workbench, not a subfolder of it.

Working Model

GPT / ChatGPT      = planning, outlines, storyboards, execution packages
User               = decisions, source material, accepted planning files
Video Workbench    = project notes, execution, generated assets, handoff
CCPE System        = local work agents, runtimes, model cards, interfaces
Skills Vault       = reusable automation skills and deterministic tools

Video Workbench is not the canonical home for prompts, agents, reusable automation source, deep essays, or finished article writing.

Main Layout

projects/
  project-id/
    project.md
    intake/
    slides/
      slides.md
      s01/
      s02/

handoff/
tmp/
garden-gpt-image-2/
requirements/
ccpe-consumption/

• projects/ is the only project entry point. Project status and series membership are recorded inside project files, not by moving directories.
• projects/<project>/intake/ holds user-provided GPT planning output, source notes, execution packages, references, and other accepted inputs.
• projects/<project>/project.md is a Codex-maintained project note and file map. It should link to content in intake/, not duplicate it.
• projects/<project>/slides/ is the working area for slide, page, or shot execution. Each sNN/ folder keeps that unit's prompts, narration, generated images, audio, and local notes together.
• handoff/ is for repo-level, cross-project, or context-window handoff notes.
• tmp/ is for local temporary files.
• garden-gpt-image-2/ is reserved for local image-generation prompt/workflow traces when that tool path is used.

Series indexes can be added later under projects/_series/ when a real series needs more than project-local notes.

Boundaries

• Manual editing and publishing remain human-controlled unless explicitly automated later.
• Video Workbench does not default to full video editing, image-to-video generation, or platform publishing.
• Missing CCPE assets should be requested under requirements/ccpe/.
• Missing reusable automation should be requested under requirements/skills-vault/.

Starting A New Session

In a new Codex session opened on this project, use:

Please read README.md, VIDEO_WORKBENCH.md, docs/context-handoff.md, and docs/ccpe-system-handoff.md first, then continue work on Video Workbench according to those conventions.