Duration 3 weeks Role UX/UI Designer, Frontend Developer and Backend Developer Scope Research, UX/UI and functional prototyping Team Cross-functional team with AI engineers Platform Responsive web application Status Functional full-stack prototype I owned the UX/UI and contributed across frontend and backend implementation, collaborating closely with AI engineers from research through functional prototyping. From research sprawl to a guided technical decision. Technical teams compare documentation, repositories, licenses and maintenance signals before they can even sketch a credible architecture. OpenBridge compresses that fragmented research into one explainable starting point. One product, two connected ways to explore. Architecture assistant Turns product requirements into a proposed stack with explicit responsibilities, connections, assumptions and limitations. Open-source catalog Lets teams verify recommendations through categories, repository signals, licenses and detailed tool profiles. Describe. Generate. Understand. Verify. 01Describe the product and its technical constraints. 02Receive tools with a defined responsibility in the system. 03Understand protocols, dependencies and data flow. 04Inspect the catalog before committing to a direction. The interface explains the recommendation—not only the answer. Responsibilities before features Each tool is framed by the job it performs inside the architecture, keeping the result connected to the original problem. Tools and connections separated Two complementary views reduce cognitive load: first understand the components, then understand how they communicate. Assumptions remain visible The proposal exposes what is unknown or still requires implementation, reducing false confidence in an AI-generated result. Iteration stays within reach The original prompt remains available beside the result, so teams can refine requirements without restarting the flow. 1,000+ open-source tools organized for exploration. <1min to generate a first architecture from a product idea. ~70% less research time in the initial comparison with the manual process. 2views for understanding both components and their connections. I used execution as a way of thinking. I defined the product direction, translated technical documentation into the interaction model, designed the visual system and built the functional AI-assisted prototype. Product strategy Product UI and functional prototyping AI workflow translation Motion and design system A credible AI product also shows where confidence ends. OpenBridge transformed open-ended research into a guided and explainable starting point for technical decision-making. The next iteration focuses on stronger grounding between product requirements and generated components, clearer confidence signals and more consistent architecture outputs.
