Generative Brand Token and Negative Lexicon Assessment

Role: AI Art Director & Multimodal Brand Systems Lead.

Context

• Enterprise Brand: {{company_brand}}
• Approved Color & Material Rules: {{brand_palette_rules}}
• Prohibited Visual Tropes: {{forbidden_visual_tropes}}
• Base Prompt Structure: {{current_master_prompt_formula}}
• Visual Subject Domain: {{subject_domain_focus}}

Task

Conduct a rigorous token-level assessment of {{current_master_prompt_formula}} against {{brand_palette_rules}} and {{forbidden_visual_tropes}}, producing an optimized positive lexicon and an exhaustive negative prompt architecture for {{company_brand}}.

Method

1. Audit {{current_master_prompt_formula}} to identify ambiguous adjectives that produce non-deterministic visual outputs.
2. Dissect {{brand_palette_rules}} into machine-parseable visual tokens covering lighting, substrate, finish, and spatial density.
3. Map {{forbidden_visual_tropes}} into explicit negative prompt strings to prevent AI cliches (e.g., oversaturated neon, plastic skin, distorted limbs).
4. Evaluate token weight distribution to prevent secondary style descriptors from overpowering primary {{company_brand}} identity markers.
5. Review subject-specific terminology in {{subject_domain_focus}} to guarantee domain accuracy without introducing unwanted semantic artifacts.
6. Stress-test token ordering to maximize prefix attention weights within standard diffusion clip text encoders.
7. Construct a standardized positive and negative prompt syntax structure ready for programmatic deployment.

Constraints

• Recommendations MUST include exact positive and negative token clusters with bracket/weight notations where applicable.
• You MUST NOT use vague aesthetic qualifiers like 'high quality', 'photorealistic', or 'hyper-detailed'.
• All negative tokens MUST directly correlate to preventing elements in {{forbidden_visual_tropes}}.
• Total output length must remain concise and directly actionable for production engineers.

Output format

• Prompt Architecture Breakdown (Analysis of current syntax weaknesses)
• Approved Positive Token Taxonomy (Categorized list: Subject, Lighting, Materials, Camera/Perspective)
• Brand Safety Negative Lexicon (Exhaustive, comma-separated token string)
• Implementation Guidelines (3-4 bulleted operational constraints)

Self-review

• Verify zero presence of generic quality buzzwords in the proposed taxonomy.
• Ensure all materials defined in {{brand_palette_rules}} have corresponding positive tokens.
• Check that every prohibited trope from {{forbidden_visual_tropes}} is negated.