History

wantsong c7e208a99e docs: archive video workflow investigations		2026-06-23 08:08:48 +08:00
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outputs	docs: archive video workflow investigations	2026-06-23 08:08:48 +08:00
01-分工与目录改造草案.md	docs: archive video workflow investigations	2026-06-23 08:08:48 +08:00
01-分工与目录改造草案2.0.md	docs: archive video workflow investigations	2026-06-23 08:08:48 +08:00
README.md	docs: archive video workflow investigations	2026-06-23 08:08:48 +08:00
cases.md	docs: archive video workflow investigations	2026-06-23 08:08:48 +08:00
提示词质量综合调研报告.md	docs: archive video workflow investigations	2026-06-23 08:08:48 +08:00

GPT Image 2 Advisor Prompt Quality Investigation V2

Why V2 Exists

The first investigation over-weighted character / MV identity scenarios. That made the result too narrow for the user's actual video-workbench usage.

This V2 uses source scenes from:

C:\Users\wangq\Documents\Codex\knowledge-vault\prompts\GPT\强哥的策划导演\30_CASE_典型视频分镜案例.md
C:\Users\wangq\Documents\Codex\knowledge-vault\prompts\GPT\强哥的策划导演\31_CASE_典型培训AI_PPT案例.md

The weighted priority is:

典型视频分镜(科普) > 典型培训AI > 人物造型

This is only a prompt-quality investigation. It does not generate images and does not claim final image quality.

The current environment is still treated as gpt-image-2 Advisor / Mode C for this investigation: prompt generation and comparison only.

Group	Weight	Cases
Science video storyboard	55%	S-01 AI wave, S-03 AI float vs ocean, S-05 logic sandcastle, S-07 three brakes
Training AI PPT	35%	P8 prompt engineering vs cognitive engineering, P12 score vs growth-state assessment, P18 education AI logic chain
Character / makeup-still	10%	lightweight directory-boundary sample only

cases.md: source-derived cases and evaluation intent.
outputs/direct-prompts.md: baseline prompts from or modeled closely on the GPT case files.
outputs/advisor-prompts.md: Advisor-style prompts using gpt-image-2 structure and relevant templates.
提示词质量综合调研报告.md: weighted comparison and conclusion.