Sprounix Primary Function: KI-Karriär-Agent vum Xiaoshi Dai, Di Xia and Feifan Gao

D'Wierk Sprounix Primary Function: KI-Karriär-Agent vum Designer Xiaoshi Dai, Di Xia and Feifan Gao ass en héich geschätzten Gewënner vum prestigiéisen 2026 A' Design Award an Eisen an der Wettbewerbskategorie Digitaalt Produktdesign.

EisenDigitaalt Produkt· 2026

Sprounix Primary Function: KI-Karriär-Agent

vum Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

A' Design Award an Eisen Gewënner an der Kategorie Digitaalt Produkt

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Präisstatus fir #183302 verifizéieren

Säit besichen Kuckt beim A' Design Award Pressemëtteelung Award Badge

Faarwen

Den Design

Iwwer Sprounix Primary Function: KI-Karriär-Agent

Book Text: Sprounix ass eng KI-gedriwwen Interface, déi entwéckelt gouf, fir de komplexe Prozess vun der Aarbechtsbewerbung duerch eng konversationell UX ze vereinfachen. Fir d'Problem vun der Bewerbungsiddegkeet ze léisen, ersetzt den Design statesch Formulairen duerch eng multimodal Chat-Interface, déi soft Skills duerch natierlechen Dialog erfaasst. D'UI weist en fléissenden Co-Pilot-Dashboard, dat Echtzäit-Interview-Coaching an transparent Aufgabenverfollegung ubitt. Andeems Agent-zu-Agent-Protokoller integréiert ginn, automatiséiert de System d'Backend-Verhandlungen, wat den Notzer erméiglecht, héichfrequent Bewerbunge duerch e vereinfachten, stressfräie Interaktiounsmodell ze verwalten.

D'Unerkennung

Iwwer den A' Design Award an Eisen

Sprounix Primary Function: KI-Karriär-Agent ass e Gewënner vum A' Design Award an Eisen, enger prestigiéiser Unerkennung, déi un gutt Designe vergi gëtt, déi déi professionell an industriell Ufuerderunge erfëllen, déi vu gutt gestaltene Kreatioune erwaart ginn. Eisen-Gewënner weisen déi grouss Fäegkeet, déi héich Spezialiséierung, dat Expertewëssen an d'kreativ Kapazitéit vun hire Schëpfer. Et gëtt erwaart, datt Sprounix Primary Function: KI-Karriär-Agent eng héich geschätzt, bewonnert a beléifte Kreatioun ass, déi praktesch an innovativ ass. Dëst mam Eisen ausgezeechent Design integréiert déi beschte Praktike vun der Industrie a huet kompetent technesch Eegeschaften, déi mat Know-how an Talent verbonne sinn. Sprounix Primary Function: KI-Karriär-Agent gëtt fir seng Grëndlechkeet respektéiert a ass gestalt, d'Liewensqualitéit ze verbesseren an ze hëllefen, d'Welt zu enger besserer Plaz ze maachen.

Hannert dem Design

Press Kit

Credits, Teammemberen an technesch Detailer vum Designer zur Verfügung gestallt.

Eenzegaarteg Eegeschaften: 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.
Dimensiounen & Verpackung: 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
Produktiounstechnologie: 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 Erausfuerderung: 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.
Fuerschung: 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.
Inspiratioun: 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.
Projetdauer: 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.
Operatiounsablaf: 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.
Teammemberen: Xiaoshi Dai
Feifan Gao
Di Xia
Bildnoweis: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao