Sprounix Primary Function: Ai Career Agent by Xiaoshi Dai, Di Xia and Feifan Gao

Sprounix Primary Function: Ai Career Agent by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 A' Design Award nga Puthaw in Disenyo sa Digital nga Produkto Competition Category.

PuthawDigital nga Produkto· 2026

Sprounix Primary Function: Ai Career Agent

by Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

A' Design Award nga Puthaw Winner in Digital nga Produkto Category

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The Design

About Sprounix Primary Function: Ai Career Agent

Book Text: Ang Sprounix usa ka interface nga gipalihok sa AI nga gidesinyo aron mapadali ang komplikado nga proseso sa pag-aplay og trabaho pinaagi sa usa ka conversational UX. Aron masulbad ang problema sa application fatigue, ang disenyo nagpuli sa static nga mga porma og usa ka multi modal nga chat interface nga nagkuha sa soft skills pinaagi sa natural nga panag-istoryahanay. Ang UI adunay usa ka tuloy-tuloy nga Co pilot dashboard nga naghatag og real time nga interview coaching ug transparent nga pagsubay sa buluhaton. Pinaagi sa pag-integrar sa Agent to Agent protocols, ang sistema awtomatikong nagpadagan sa backend negotiations, nga nagtugot sa mga tiggamit nga madumala ang high frequency nga mga aplikasyon pinaagi sa usa ka gipasimple, walay stress nga modelo sa interaksyon.

The Recognition

About the A' Design Award nga Puthaw

Sprounix Primary Function: Ai Career Agent usa ka mananaog sa A' Design Award nga Puthaw, usa ka dungganon nga pag-ila nga gihatag sa maayong mga disenyo nga nakatagbo sa propesyonal ug industriyal nga mga gikinahanglan nga gipaabot gikan sa maayo ang pagkadisenyo nga mga paglalang. Ang mga mananaog sa Puthaw nagpakita og dakong kahanas, taas nga espesyalisasyon, eksperto nga pagsabot, ug mamugnaon nga abilidad sa ilang mga tiglalang. Gilauman nga ang Sprounix Primary Function: Ai Career Agent mahimong gipabilhan, gihangaan, ug gihigugma nga paglalang nga praktikal ug bag-o. Kini nga disenyo nga nakadaog og A' Design Award nga Puthaw naghiusa sa labing maayong mga praktis sa industriya ug adunay hanas nga teknikal nga mga kinaiya nga nalambigit sa kahibalo ug talento. Sprounix Primary Function: Ai Career Agent gitahod tungod sa pagkamaabtik niini ug gidisenyo aron maghatag og mga pagpaayo sa kalidad sa kinabuhi nga makatabang sa paghimo sa kalibutan nga mas maayong dapit.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Sprounix is a chat-centric AI Career Agent that transforms job seeking into a multimodal interactive journey. Beyond static resumes, it uses text and video dialogue to uncover soft skills and aspirations. A key innovation is the Agent2Agent A2A technology, enabling the user’s agent to communicate directly with recruiter systems for hyper-efficient matching. It also provides automated applications and real-time interview coaching, acting as a proactive career advocate.
Dimensions & Packaging: Sprounix is a cloud-based, responsive web platform compatible with all modern browsers. It supports multi-modal inputs including WebRTC video, voice-to-text, and PDF parsing. The matching engine achieves over 85% accuracy by moving beyond keywords to multi-dimensional intent recognition. The system adheres to WCAG 2.1 accessibility and enterprise-grade security standards, ensuring full GDPR compliance for encrypted candidate data protection.
Tags: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Production Technology: Built on a robust AI infrastructure using Large Language Models (LLM) for natural language understanding and multi-modal analysis. The core innovation is the Agent2Agent (A2A) communication protocol that streamlines data exchange between independent AI entities. The system features a responsive React-based front-end for seamless cross-platform use, integrated with real-time video processing and scalable microservices to handle high-frequency job matching and data sync.
Design Challenge: The primary challenge was designing a seamless UX for the complex Agent2Agent backend. We had to ensure users felt in control while their AI agent performed proactive tasks like autonomous applications. We solved this by creating a highly intuitive, chat-first interface that provides transparent "Co-pilot" updates. Integrating multi-modal inputs (text and video) while maintaining a consistent, supportive AI persona across all platforms was a significant technical and design obstacle we overcame.
Research: Our research explored the Job Search Anxiety among early career talents and the inefficiencies of keyword-based recruitment. We used a mixed-methods approach, including more than fifty user interviews and data analysis of traditional ATS systems. The results showed that users provide forty percent more detailed skill data via natural dialogue than static forms. This led to the development of our Chat-centric discovery interface and the Agent2Agent matching protocol, which proved to reduce initial screening time by seventy percent in pilot tests.
Inspiration: The inspiration came from the challenging labor market faced by Gen Z. Traditional job hunting is often repetitive and discouraging. We wanted to create a "Co-pilot" that doesn't just list jobs but actively advocates for the user. By combining AI-driven matching with a friendly, gamified experience, we aimed to lower the anxiety of career-starting and make professional growth feel like a guided, empowered journey.
Project Duration: The project conceptualization started in January 2025 in the United States. Following intensive research and UX prototyping of the conversational engine, the beta version of the platform was developed and finalized in late 2025.
Operation Flow: The experience centers on a conversational interface where users engage with the AI via text or video. This chat-first approach replaces traditional forms, building a deep professional profile. Once the agent understands the candidate's goals, it leverages A2A protocols to negotiate with recruiter agents and automate applications. The co-pilot remains active throughout, providing instant feedback and resume tailoring via a fluid UI.
Team Members: Xiaoshi Dai
Feifan Gao
Di Xia
Image Credits: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao