Sprounix Ahente ng Karera na AI by Xiaoshi Dai, Di Xia and Feifan Gao

Sprounix Ahente ng Karera na AI by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 A' Design Award na Bakal in Disenyo ng Digital na Produkto Competition Category.

BakalDigital na Produkto· 2026

Sprounix Ahente ng Karera na AI

by Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

A' Design Award na Bakal Winner in Digital na Produkto Category

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The Design

About Sprounix Ahente ng Karera na AI

Ang Sprounix ay isang interface na pinapagana ng AI na dinisenyo upang gawing mas simple ang masalimuot na proseso ng pag-aapply sa trabaho sa pamamagitan ng isang conversational na UX. Upang lutasin ang problema ng pagkapagod sa pag-aapply, pinapalitan ng disenyo ang mga static na form ng isang multi-modal na chat interface na kumukuha ng soft skills sa pamamagitan ng natural na pag-uusap. Ang UI ay may isang fluid na Co-pilot dashboard na nagbibigay ng real-time na interview coaching at transparent na pagsubaybay sa mga gawain. Sa pamamagitan ng pag-integrate ng Agent-to-Agent na mga protocol, ina-automate ng sistema ang mga backend na negosasyon, na nagbibigay-daan sa mga gumagamit na pamahalaan ang mga high-frequency na aplikasyon sa pamamagitan ng isang pinasimple at walang-stress na modelo ng interaksyon.

The Recognition

About the A' Design Award na Bakal

Ang Sprounix Ahente ng Karera na AI ay nagwagi ng A' Design Award na Bakal, isang prestihiyosong pagkilalang iginagawad sa mga mahuhusay na disenyong tumutugon sa mga propesyonal at pang-industriyang kinakailangang inaasahan sa mga mahusay na pagkakadisenyong likha. Ang mga nagwagi ng Bakal ay nagpapakita ng dakilang husay, mataas na espesyalisasyon, dalubhasang pag-unawa at kakayahang malikhain ng kanilang mga lumikha. Inaasahang ang Sprounix Ahente ng Karera na AI ay isang lubos na pinahahalagahan, hinahangaan at minamahal na likhang praktikal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bakal ay nagsasama ng pinakamahuhusay na kasanayan ng industriya at may mahuhusay na katangiang teknikal na may kasamang kaalaman at talento. Ang Sprounix Ahente ng Karera na AI ay iginagalang dahil sa kaingatan nito at idinisenyo upang maghatid ng mga pagpapabuti sa kalidad ng buhay na tumutulong gawing mas mabuting lugar ang mundo.

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