AI Skill Report Card
AI Brand Design Integration
Quick Start15 / 15
Brand Asset Generation Template:
Primary Prompt: [BRAND_STYLE] [ASSET_TYPE] featuring [SUBJECT], [COMPOSITION], [LIGHTING], professional quality
Style Descriptors: minimalist, corporate, [BRAND_COLORS], clean typography, premium feel
Negative Prompts: --no watermarks, logos, text, cluttered, amateur, low quality, distorted
Reference: Upload brand guidelines image
Parameters: --ar [RATIO] --style [VALUE] --q 2
Immediate Example:
luxury skincare product photography featuring moisturizer jar, centered composition, soft natural lighting, professional quality --ar 1:1 --style 750 --q 2 --no watermarks, text, cluttered
Recommendation▾
Add concrete input/output examples showing actual brand transformations (before/after client work)
Workflow14 / 15
AI-DESIGN Framework Implementation
Progress:
- Analyze brand guidelines and style requirements
- Identify optimal AI platform (Midjourney/Firefly/Stable Diffusion)
- Develop prompt templates for asset categories
- Execute generation with parameter optimization
- Screen outputs using quality assessment rubric
- Integrate approved assets into design workflow
- Generate client presentation materials
- Navigate approval process and revisions
Platform Selection Matrix
- Midjourney: Creative concepts, artistic styles, mood boards
- Adobe Firefly: Commercial-safe assets, integrated workflow
- Stable Diffusion: Custom model training, specific brand consistency
Quality Assessment Rubric (1-5 Scale)
- Brand Alignment: Style, color palette, visual hierarchy adherence
- Technical Quality: Resolution, composition, lighting, detail clarity
- Legal Clearance: No copyrighted elements, IP-safe content
- Client Readiness: Professional finish, editable format compatibility
Recommendation▾
Include specific pricing/timeline benchmarks for client proposals
Prompt Template Library
Logo & Identity Assets
Template: minimalist [BRAND_PERSONALITY] logo design, [SYMBOL/ICON], [COLOR_SCHEME], vector style, professional
Midjourney: --ar 1:1 --style 250 --q 2
Firefly: Commercial use, vector output
Negative: --no gradients, shadows, 3d effects, text
Product Photography
Template: premium product photography, [PRODUCT] on [BACKGROUND], [LIGHTING_STYLE], commercial quality
Parameters: --ar 4:5 --style 500 --q 2
Post-Process: Generative expand for social formats, background removal
Negative: --no logos, watermarks, people, cluttered
Marketing Collaterals
Template: [BRAND_STYLE] marketing visual, [CONCEPT], [COLOR_PALETTE], clean composition, corporate aesthetic
Social Media: --ar 1:1, 9:16, 16:9
Print: --ar 8.5:11, 11:17
Negative: --no stock photo feel, cliché, amateur
Website Assets
Template: modern web design element, [UI_COMPONENT], [BRAND_COLORS], clean interface, user-friendly
Parameters: --ar 16:9 --style 100 --chaos 25 --q 2
Integration: Export for Figma/Adobe XD compatibility
Brand Illustrations
Template: custom illustration, [SUBJECT], [BRAND_STYLE], [COLOR_SCHEME], scalable vector aesthetic
Style Descriptors: geometric, organic, minimal, detailed
Parameters: --ar 3:4 --style 750 --q 2
Midjourney Parameter Mastery
Aspect Ratios by Use Case
- Social Posts:
--ar 1:1 - Stories:
--ar 9:16 - Website Headers:
--ar 16:9 - Print Ads:
--ar 8.5:11 - Business Cards:
--ar 3.5:2
Style Values by Brand Type
- Corporate/Professional:
--style 100-250 - Creative/Artistic:
--style 500-750 - Experimental:
--style 1000
Quality Settings
- Drafts:
--q 1 - Client Review:
--q 2 - Final Assets:
--q 2(highest)
Adobe Firefly Integration
Commercial-Safe Workflow
- Asset Generation: Use "Commercial Use" filter
- IP Verification: Check "Generated with AI" metadata
- License Documentation: Export generation details
- Client Delivery: Include AI generation disclosure
Photoshop Integration
- Generative Expand: Extend canvases for multiple formats
- Generative Fill: Remove/replace elements seamlessly
- Background Removal: Automated subject isolation
- Style Transfer: Apply brand aesthetics consistently
Best Practices
Prompt Engineering
- Lead with brand personality adjectives
- Include specific style descriptors from brand guidelines
- Reference successful outputs in future prompts
- Maintain prompt libraries organized by project/client
Parameter Optimization
- Test style values in increments of 100
- Adjust chaos for exploration vs. consistency
- Use quality 2 for all client-facing work
- Document successful parameter combinations
File Management
- Name convention:
CLIENT_ASSET-TYPE_VERSION_DATE - Archive original AI outputs with generation data
- Maintain PSD files with non-destructive edits
- Export multiple format variants simultaneously
Client Communication
- Present 3-5 refined options maximum
- Include generation methodology explanation
- Provide style variation examples
- Document revision parameters for consistency
Common Pitfalls
- Over-prompting: Excessive descriptors create conflicting instructions
- Ignoring negative prompts: Results in unwanted elements requiring extensive post-processing
- Wrong platform selection: Using Midjourney for commercial work requiring IP clearance
- Insufficient quality assessment: Delivering technically flawed assets to clients
- Parameter inconsistency: Different settings create jarring style variations within brand system
- Poor reference image selection: Low-quality references produce low-quality outputs
- Skipping post-processing: Raw AI outputs rarely meet professional standards
- Inadequate file organization: Losing generation data prevents consistent reproduction