OnMed · Founding AI Graphic Designer · Case Study 09
Encoding design rules into an AI-assisted multi-format social workflow
An AI-assisted creative production workflow that encodes layout and brand rules so marketing teams can adapt source content across multiple social formats without requiring a designer for every resize.
Generative AI WorkflowsWorkflow AutomationDesign Systems
Multi-FormatPlatform Output
ReusableDesign Rules
Cross-TeamEnablement
01 / Problem & Context
What had to become true
The challenge
An AI-assisted creative production workflow that encodes layout and brand rules so marketing teams can adapt source content across multiple social formats without requiring a designer for every resize.
My role
I owned the problem framing, system/product decisions, implementation direction, validation, and iteration represented in this case study. The emphasis is on the decisions that changed the system—not a feature inventory.
02 / Decisions & Tradeoffs
Architecture follows the constraint
Key decisions
- Encode spacing, hierarchy, safe areas, composition, and brand rules into the workflow.
- Keep generative output inside defined constraints and quality review.
- Design for non-designer self-service without removing creative standards.
Working loop
PROBLEM → INVESTIGATE → ARCHITECT → BUILD → VALIDATE → ITERATE
The implementation was treated as a measured loop: diagnose the actual constraint, make the smallest architectural change that resolves it, then verify behavior and quality before moving forward.
03 / System Design & Build
What I built
- Weavy-based workflow transforms source creative into platform-specific formats.
- Reusable aspect-ratio and layout rules preserve hierarchy across outputs.
- Brand-safe generative constraints and review checkpoints protect quality.
- Team enablement turns design knowledge into repeatable operational logic.
04 / Validation & Outcomes
Evidence over claims
Validation
- Multi-format output supports platform-specific production.
- Reusable design rules reduce repetitive manual adaptation.
- Non-designers can create viable on-brand assets within defined constraints.
What changed
Creative automation is most valuable when it captures design judgment as reusable rules instead of merely generating more content.
05 / Skills & Positioning
What this project demonstrates
Generative AI Workflows · Workflow Automation · Design SystemsThis case sits inside a broader portfolio spanning AI systems and agents, full-stack products and revenue infrastructure, design engineering, and creative AI leadership.
Portfolio Map
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Each project is a different proof point. The current project is highlighted so the portfolio reads as one connected capability map rather than a collection of isolated case studies.
