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12.5.1 Integrated Project Roadmap: Creative Package Workflow

The capstone is not about connecting many model APIs. It is about giving a user a workflow: input a brief, generate assets, compare versions, edit, review, and export a usable content package.

AIGC creative platform project delivery loop diagram

Creative package pipeline

Prompt, asset, and version map

Review and export map

The first habit is to save every generated result as an asset with source, prompt, version, review status, and export target.

brief = {
"topic": "RAG mini course",
"audience": "new learners",
}
package = {
"brief_ready": True,
"assets": ["title", "cover_prompt", "video_script", "review_checklist"],
"has_versions": True,
"has_review": True,
}
ready = package["brief_ready"] and package["has_versions"] and package["has_review"] and len(package["assets"]) >= 4
print("package_ready:", ready)
print("assets:", ", ".join(package["assets"]))

Expected output:

Terminal window
package_ready: True
assets: title, cover_prompt, video_script, review_checklist

Minimum package state readiness result map

If this state is missing, the project will look like a demo instead of a product.

Run 12.5.3 Hands-on: Build a Reproducible Multimodal Creative Package before expanding the larger creative platform. It gives you the smallest reproducible loop for brief intake, prompt records, asset versions, storyboard export, safety review, and failure analysis.

DeliverableMinimum Requirement
READMEGoal, run command, dependencies, material sources, examples
Sample packageOne complete brief with generated assets and review notes
Version recordsAt least two candidate outputs or one edited revision
Safety reviewCopyright, portrait, voice, sensitive content, export label
Failure noteOne real failure case and the next fix

Keep this page’s proof of learning as a small evidence card:

Brief
user goal, audience, assets, constraints, and export format
Artifacts
source files, prompts, generated candidates, selected output, and rejected versions
Review
factual check, copyright/portrait/sensitive-content check, and human decision
Integration
RAG record, Agent trace, creative package, storyboard, or export preview
Expected Output
reproducible asset package with README, review checklist, and failure notes

You pass this chapter when your project can accept a brief, produce a structured creative package, keep versions, run review, and export Markdown or JSON that another person can inspect.

Check reasoning and explanation
  1. A passing answer names the modalities involved, the input-output contract, and how text, image, audio, or video evidence is aligned.
  2. The evidence should include a real media artifact or trace, plus a note on quality, safety, and failure cases.
  3. A good self-check explains whether the task needs generation, understanding, retrieval, tool orchestration, or human review rather than treating every multimodal problem as the same kind of demo.