DESIGNING
WITH AI
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From strategy to code-ready handoff — how AI tools let me move faster, reduce dependencies, and ship features that matter.
Overview
AI-POWERED DESIGN PROCESS THAT
MOVES AT THE SPEED OF PRODUCT —
STRATEGY, DESIGN, CODE, AND LAUNCH.
ALL ONE DESIGNER.
IMPACT THAT
I'M CREATING
3X
Faster Feature Delivery
60%
Less Design Handoff Friction
Less
Dependency on others
End-to-End Ownership
One designer drives strategy, design, and code delivery — no dependency on a full team.
Seamless Dev Handoff
Frontend-ready code from Claude Code means developers implement, not rebuild. Zero gap.
Speed at Every Stage
AI tools compress every phase — research, ideation, build. Projects moves fast.
Stakeholder Confidence
Live prototypes and early mockup reviews align stakeholders before high-effort work begins.
THE WORKFLOW
5 phases of AI Native Design Process
01
Strategy
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Build project strategy with CA frameworks
02
Ideation
Ideate in Figma, early mockup alignment
03
Design
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Final design on Cursor using Claude code
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Review
Stakeholder review of live prototype
05
Handover
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Design QA & dev ready code delivery
PHASE 01
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The project starts with structured strategy-building using ChatGPT to define goals, user problems, and design direction. Perplexity Comet is used for deep competitive research — scanning similar products, identifying UX patterns, and mapping market gaps. The output is a Competitive Analysis (CA) document that anchors every design decision made downstream.
PHASE 02
With the strategy locked, ideation begins in Figma. Low-fidelity wireframes and concept explorations are rapidly sketched to visualize multiple directions. Key screens are mocked up just enough to communicate intent — not to be pixel-perfect. These mockups are shared with stakeholders early to get alignment before any high-fidelity work begins. This phase eliminates costly rework by catching misalignment at the cheapest possible stage.
PHASE 03
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Final design is produced directly in Cursor using Claude Code — an AI-native coding environment where components from the design system (Storybook) are called up and composed via natural language prompts. Instead of manually building layouts in Figma, Claude Code generates production-quality UI components in real time. The designer iterates visually, sees output instantly, and refines with follow-up prompts. The result is a live, coded design — not a static file.
PHASE 04
With the strategy locked, ideation begins in Figma. Low-fidelity wireframes and concept explorations are rapidly sketched to visualize multiple directions. Key screens are mocked up just enough to communicate intent — not to be pixel-perfect. These mockups are shared with stakeholders early to get alignment before any high-fidelity work begins. This phase eliminates costly rework by catching misalignment at the cheapest possible stage.
PHASE 05
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Before handover, a Design QA pass is run against the live prototype — checking spacing, typography, component accuracy, and edge cases. Because the design was built in Claude Code with Storybook components, the output is already frontend-ready code. There's no Figma-to-dev translation gap, no re-implementation, and no redline documentation needed. The code is pushed directly to GitHub and handed to the developer to integrate and ship. The designer owns the full pipeline.
AI didn't replace the designer. It removed every bottleneck around one. Strategy, ideation, design, review, delivery — owned end to end by a single person.
THANK YOU FOR COMING ALONG ON THIS JOURNEY.