
SaaS Web Editor
Quicksite Guru
Role: UX Design Intern
Project Type: SaaS Web Application
Tools: Figma, User Flows, UX Research
Overview
QuickSite Guru is an AI-powered website builder designed to help non-technical users create and edit websites effortlessly. My core responsibility was to design the web section editor—a key feature that enables users to add, customize, and arrange content blocks with AI assistance.
01 Design Highlights
💡 From-Scratch Design: Designed the section editing experience from the ground up, drawing inspiration from complex builders like Wix and Squarespace while simplifying the UX for mainstream users.

Table Research
💡 AI Integration: Seamlessly incorporated AI to generate and customize website sections based on user prompts, reducing cognitive load and editing time.

AI Integration
💡 AI Memory Management: Designed logic for AI to remember previous inputs and editing context, enabling more consistent and personalized content suggestions.

AI Memory
💡 User Flow Mapping: Defined clear, efficient user flows for content generation, editing, and publishing.

Section Editing User Flow
💡 High-Fidelity Prototyping: Created pixel-accurate Figma prototypes for both desktop and mobile, aligning with the product’s design system.
02 Hi-fi Display


03 After Thoughts
This project offered a unique opportunity to design a complex system from the ground up while integrating emerging AI technologies. It was both exciting and challenging to balance powerful functionality with simplicity—especially when designing a section editor intended to rival established platforms like Wix and Squarespace.
One of the biggest challenges was designing for a highly technical backend (AI-driven generation and memory) while maintaining an intuitive experience for non-technical users. Since AI responses can be unpredictable, crafting a UI that gracefully handles varying output lengths, section structures, and user edits required constant iteration. In future projects, deeper collaboration with the AI development team earlier in the process would help ensure that the design aligns more tightly with technical constraints and opportunities.
Another key takeaway from this internship was the value of cross-functional collaboration. Working closely with developers and product managers in a Scrum environment taught me how to align design work with sprint planning, prioritize features effectively, and adapt quickly based on team feedback. While direct access to end-users was limited during the early phases, internal reviews and collaborative critiques helped shape the direction of the design. Moving forward, I would advocate for earlier user involvement to validate assumptions and further refine AI interactions based on real user behavior.