While most participants naturally lean towards building standard web apps or generic startup dashboards—concepts the industry is already highly familiar with—I decided to bring the theme 'Interfaces that feel alive' to a space that is notoriously static, flat, and outdated: the professional resume. I built 'The Living Portfolio,' a next-generation interactive CV tailored for a hybrid Web3, AI, and Security Engineer. By breaking away from traditional dead PDFs, this interface uses premium dark glassmorphism, tactical micro-interactions, and responsive canvas layers to transform a career summary into a breathing, high-fidelity digital identity that actively engages the user.

I utilized Google Stitch as the core engine for establishing the initial responsive layout and grid structure. From there, I transitioned into an iterative process using in-place edits to inject custom CSS motion properties, technical typography, and interactive button states. Finally, despite heavy platform limitations regarding multi-page structures, I successfully leveraged Stitch's export capabilities to deploy the compiled pages directly onto Netlify, achieving a fully functional and publicly accessible live prototype.

While the core concept of Google Stitch is highly innovative and the visual potential of the canvas is impressive, the developer interaction with the AI agent was a deeply frustrating experience filled with friction.

During the detailing phase, the agent consistently suffered from severe context drift. It repeatedly violated explicit constraints—such as generating entirely new layout windows instead of modifying existing components in-place as instructed. Furthermore, it frequently erased pre-existing text data and wiped out working elements during subsequent prompts. It felt as though the agent is programmed to over-generate new code overzealously rather than respecting precise, incremental boundaries. While I see the immense value in Stitch as a builder, managing the agent for high-fidelity UI work currently requires an exhausting amount of backtracking to fix forgotten or deleted elements.

P.S. I'm honestly not 100% satisfied with the final result, but iterating with the agent is a never-ending loop—with every new edit, something else kept getting lost or forgotten :-D. So, I'm submitting it as is and going to chill.

https://stitch.withgoogle.com/projects/4307425184075552527

https://stefan-bohumel-resume.netlify.app/

https://github.com/Ra9mirez11/stitch-projekt

Talk about raising the bar for everyone who comes after.

ResumeIQ is an AI-powered resume analysis and optimization platform that helps job seekers improve their resumes for ATS (Applicant Tracking Systems) and recruiter screening. It analyzes resumes against job descriptions, identifies missing keywords, gives match scores, and suggests improvements. Some versions also offer cover letter generation, LinkedIn optimization, and interview preparation tool