video-workbench/investigations/2026-06-23-gpt-image-2-advisor-prompt-quality/cases.md

Test Cases

Evaluation Question

Does the Advisor workflow produce prompts that are more controllable, reusable, and aligned with video-workbench production needs than direct prompting?

Case T01: Character Identity Makeup Still

Goal: create a stable identity reference image for a recurring MV protagonist.

Input:

• 50-year-old East Asian male traveler.
• Black rectangular glasses, stubble, tired but steady eyes, slightly messy hair.
• Dark long coat, old backpack strap visible.
• Not heroic, not fashion, not influencer portrait.
• Output should become identity_ref for later shots.

Main risk:

• If the prompt over-cinematizes the result, the identity anchor becomes too stylized and hard to reuse.
• If the prompt under-specifies face and texture, later shots drift.

Case T02: Wardrobe / Body Fullbody Anchor

Goal: create a wardrobe and body silhouette reference, not a face reference.

Input:

• Same traveler system as T01.
• Full body or nearly full body.
• Long dark coat length, old backpack, trouser cuffs, muddy boots.
• Face may be less important; outfit continuity is the goal.

Main risk:

• Prompt tries to solve face, wardrobe, mood, and scene at once.
• The result becomes another portrait instead of a silhouette / costume reference.

Case T03: MV Side-Walking Road Shot

Goal: make a production still for an MV shot where the character walks along a cold road.

Input:

• Use identity_ref for face system, wardrobe_ref for outfit, pose_ref for side / three-quarter walking.
• Environment occupies at least 60%.
• The character should not look into camera.
• Vertical 9:16, road-movie mood, restrained fatigue.

Main risk:

• The identity reference pulls the result back into centered portrait.
• The road scene loses character consistency.

Case T04: Low-Angle Muddy Boots Detail

Goal: make a close detail shot where identity is carried by boots, coat hem, mud, and bodily cost.

Input:

• Low angle near the ground.
• Muddy boots stepping through wet road.
• Coat hem and backpack strap may appear, face is not required.
• Vertical 9:16, tactile road-movie detail.

Main risk:

• Overusing the face identity reference harms the shot.
• The image becomes a generic boot photo without narrative continuity.

Case T05: High-Density Explainer Slide Visual

Goal: test a non-character visual common in video-workbench: one dense page explaining a concept.

Input:

• Topic: why AI image production needs staged visual anchors.
• Style: clean training slide / explainer page.
• Output image should be a visual background or slide asset; readable text should be handled outside the generated image.

Main risk:

• Direct prompt asks the image model to render too much text.
• The result may be visually attractive but structurally useless for a slide.