
Reframing Creative Boundaries
Leadership Strategy Behind Adobe Illustrator Beta
Generative Expand Feature Launch promo video
Role: Art Director (UX research, design, storytelling)
Leadership Skills: Strategic Storytelling Leadership | Cross-Functional Alignment | Vision Setting & Creative Direction | Decision-Making Under Ambiguity | Quality Elevation
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Technical Skills: UX/UI | Visual Design | Figma prototypes | Photoshop expertise | Illustrator vectors | AfterEffects motion graphics | Video editing |
UX research
Overview
As Art Director for Adobe Illustrator’s Generative Expand (GenExpand) launch, I led the visual storytelling strategy for a flagship feature designed to fundamentally change how designers scale and adapt vector artwork.
Rather than showcasing a feature demo, I defined a narrative system that communicates a deeper shift:
Illustrator is no longer constrained by the canvas—it adapts with you.
The final animation was featured at Adobe MAX London 2025, positioning the feature as a key innovation within Adobe’s generative AI ecosystem.
Cross-functional Collaboration
Art Director (me)
Manager
ProDesign Executives
Studio Designer (vectors)
Tools
Figma
Adobe Illustrator
Adobe Illustrator Beta
Microsoft Teams
Slack
Dropbox
Adobe Firefly
Timeframe
2 months
The Challenge (Why This Matters)
Illustrator users—ranging from brand designers to motion artists—face a recurring friction:
Vector artwork is inherently rigid in format, while modern content demands constant resizing, reformatting, and contextual adaptation.
This creates:
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Time-consuming manual adjustments
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Broken compositions when scaling beyond original artboards
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Friction in multi-channel design systems (social, web, motion)
At the same time, Adobe was introducing generative AI into vector workflows, a space where trust and precision are critical.
Project challenge
Abstract AI: Generative AI can feel unpredictable
Project challenge
Speed vs. Clarity: The feature works in seconds—but clarity requires explanation
Project challenge
Stakeholder Alignment at Scale: Multiple teams with different success metrics
Product (illustrator design) challenge
One asset: many formats (social, web, motion)
Product (illustrator design) challenge
Tight timelines: minimal room for rework
Product (illustrator Design) challenge
Brand systems: equire consistency at scale
Strategic Problem:
How do we communicate a technically complex AI feature in a way that feels intuitive, trustworthy, and creatively empowering—within seconds?
Objectives
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Creative Direction
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Design Principals Established
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Leadership & Influence
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Execution
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Impact
1. Creative Direction
Strategic Approach (How I Solved It)
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Narrative First, Feature Second
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Instead of leading with functionality, I reframed the story:
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“Design shouldn’t break when your canvas changes.”
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This insight guided the entire visual direction.
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We positioned GenExpand as:
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Not just a tool, a creative safety net
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Not just automation, continuity of intent
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Designing for Immediate Comprehension
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User Journey Framework
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[1] Constraint: Artwork hits boundary
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[2] Expansion: Canvas expands beyond original limits
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[3] Continuity: New vector content seamlessly matches style
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Storyboard Exploration
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Visual System Decisions
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To reinforce trust in AI-generated output, I established:
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Precision-first motion language
Clean, controlled transitions (no “AI chaos”) -
Continuity cues
Matching anchor points, gradients, and line weights -
Minimal UI interference
Focus on artwork transformation, not tool complexity
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1. Constraint
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Artwork tightly cropped inside an artboard
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Subtle tension: elements pressed against edges
2. Activation
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Canvas expands outward
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Motion suggests “release” rather than “stretch”
3. Intelligence (AI)
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New vector elements generate seamlessly
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Style, gradients, and line work remain consistent
4. Resolution
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Fully contextualized composition
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Designed for new format (social, widescreen, etc.)
2. Design Principal Established
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Precision Over Spectacle
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Avoid “flashy AI effects”
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Maintain Illustrator’s credibility
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Invisible Intelligence
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AI should feel like a natural extension of the designer
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Continuity Signals
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Repeating shapes, gradients, and vectors across boundaries
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Smooth outward expansion (not scaling distortion)
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Anchored motion from existing elements
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No abrupt generation—everything flows from the original
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3. Leadership & Cross-Functional Influence
This was a high-visibility, cross-org initiative involving:
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Illustrator Product Team
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Adobe ProDesign Executive Leadership
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Motion & Studio Teams
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Marketing & Brand
My Role as Art Director:
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Defined the creative vision for how generative AI should “feel” in Illustrator
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Translated product complexity into a clear, scalable narrative system
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Led alignment across stakeholders with competing priorities:
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Product accuracy vs. storytelling simplicity
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Innovation vs. user trust
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Mentored and guided motion designers on:
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Maintaining vector authenticity in animation
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Avoiding visual artifacts that could reduce trust
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Personally executed final animations in Adobe After Effects, ensuring craft matched strategy​​​
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Key Challenges & How I Navigated Them
Project challenge
Abstract AI: Generative AI can feel unpredictable
Solution
Focused on predictability and continuity in every frame
Project challenge
Speed vs. Clarity: The feature works in seconds—but clarity requires explanation
Solution
Designed motion that visually explains itself without narration
Project challenge
Stakeholder Alignment at Scale: Multiple teams with different success metrics
Solution
Anchored decisions to a single principle: "Would a designer trust this output right away?"
4. Execution
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Final animation built in After Effects
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Designed for:
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Keynote presentation
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Product marketing
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Social adaptation
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Modular storytelling allowed:
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Cutdowns
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Reuse across campaigns
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5. Impact
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Featured at Adobe MAX
London 2025 -
Elevated GenExpand as a hero feature in Illustrator Beta
Strategic Impact
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Reduced friction in resizing and reframing workflows
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Increased trust in generative vector outputs
User Impact
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Increased Engagement across launch assets
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Increased Feature discoverability
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Adoption in early beta workflows
KPI
Conclusion: Strategic Takeaways
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AI adoption depends on trust, not novelty
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Great product storytelling removes the need for explanation
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Motion design can function as UX—not just marketing
I lead at the intersection of:
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Design systems thinking
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Product storytelling
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Emerging technology (AI)
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My approach:
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Start with the user tension, not the feature
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Align teams around a single narrative truth
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Execute at a level where craft reinforces strategy
This project wasn’t about showing what GenExpand does.
It was about showing: What it unlocks.