74%
2024-PresentSelf-Directed
Generative AI Concept Lab
Rapid prototyping of AI-assisted creative workflows for web, print, and motion teams.
Generative AICreative OpsAutomationPrompt Engineering
52
6
Context
Generative AI design is where the industry is headed. The line between design and engineering is dissolving fast, and staying relevant now means understanding both. This work came from deliberately leaning into that shift. Learning the tools, testing the limits, tracking the trends, and actively integrating AI into real creative production instead of watching the wave from the shore.
Approach
Built a practical, hands-on generative AI workflow focused on control, quality, and production readiness. Instead of treating AI as a gimmick, it was developed as a design system extension. Prototyping rapidly, validating outputs against brand standards, and pushing assets directly into motion and layout pipelines.
Tools & Platforms
LM StudioOllamaStable Diffusionn8n WorkflowsComfyUIHunyuan VideoFlux Dev
Gallery
Selected visuals and motion captures from the engagement. Tap any thumbnail to explore full-scale.
Impact
-65%
Compressed creative ideation from 3 days to under 24 hours.
$45K
Reduced outsourced concept spend across quarterly campaigns.
High
Leadership approved scaling AI workflows across design pods.
Process
01
Prompt Library Development
Codified prompt libraries aligned to brand language and mood boards
02
Quality Assurance
Developed QA checklist for bias mitigation and accessibility compliance
03
Pipeline Integration
Integrated generative outputs into Figma and After Effects pipelines
04
Automation & Workflow
Automated versioning and approvals through Notion + Slack integration
Reflection
AI accelerates human creativity when paired with strong guardrails, transparent review, and brand ownership.
- Prompt pattern library
- Accessibility QA template
- Notion asset tracker
- Training workshop curriculum