Figma use cases

Prototyping & DesignCoding & Engineering

Terry Lin built Cooper's Corner, a voice-powered Apple Watch and iPhone fitness app, by combining low-tech index-card prototyping with a structured AI coding workflow in Cursor and Xcode.

Outcome: He turned rough workout-logging friction into a working multi-device app workflow while keeping the AI coding process bounded by requirements, review, commits, and refactoring.

Prototyping & DesignCoding & Engineering

Use AI to close the gap between design and code by bringing production context into design work and turning design intent into more implementation-ready code changes.

Outcome: Shows how product teams can reduce handoff loss between designers and engineers. Instead of treating Figma and the codebase as separate worlds, the workflow helps design reflect what is actually in production and helps code changes preserve the intent of the design.

Prototyping & DesignCoding & Engineering

Uses AI coding tools to help design teams move faster from Figma to working prototypes, while creating custom skills and context that make development workflows easier to repeat.

Outcome: Shows how designers can use AI to make prototypes more real without giving up design judgment. The workflow helps teams turn visual ideas into interactive artifacts, test them sooner, and preserve the context needed for engineering follow-through.

Prototyping & Design

Built ProtoDash, an AI-powered internal prototyping studio that brings Stripe’s design system into AI-generated prototypes, helping designers and PMs create high-fidelity clickable prototypes instead of generic AI output.

Outcome: Turns AI prototyping from generic “blurple slop” into on-brand, shareable Stripe prototypes; supports live demos instead of static memos, helps PMs prototype, and streamlines design feedback and engineering handoff.

Prototyping & DesignMarketing & Content

Uses mood boards, Midjourney style references, personalization codes, Nano Banana, Flora, and Figma to create consistent AI-generated brand imagery that can be packaged into reusable client-ready visual systems.

Outcome: Turns AI image generation from a one-off prompt experiment into a repeatable creative direction process. Clients can get not just finished assets, but a reusable visual system with references, prompts, and style settings they can keep using.