Sprounix I Arhente yeNgqesho ye-AI ngu-Xiaoshi Dai, Di Xia and Feifan Gao

Uyilo olubizwa ngokuba yi-Sprounix I Arhente yeNgqesho ye-AI olwenziwe ngu-Xiaoshi Dai, Di Xia and Feifan Gao ngumwini obekekileyo webhaso elinobukhazikhazi le-2026 Ibhaso Lentsimbi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lweMveliso yeDijithali.

IntsimbiImveliso yeDijithali· 2026

Sprounix I Arhente yeNgqesho ye-AI

ngu Xiaoshi Dai, Di Xia and Feifan Gao

Umxhasi: Sprounix

Umwini we-Ibhaso Lentsimbi le-A' Design Award Kudidi Lwe-Imveliso yeDijithali

5,754

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#183302

Tyelela iSayithi Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Sprounix I Arhente yeNgqesho ye-AI

I-Sprounix yijongano eliqhutywa yi-AI elenzelwe ukulungelelanisa inkqubo entsonkothileyo yokufaka isicelo somsebenzi ngokusebenzisa i-UX yencoko. Ukucombulula ingxaki yokudinwa kwesicelo, uyilo lutshintsha iifom ezimi ngxi ngojongano lwencoko oluneendlela ezininzi olubamba izakhono ezithambileyo ngeencoko zendalo. I-UI inedashbhodi ye-Co pilot egeleza kakuhle enika uqeqesho lodliwano-ndlebe ngexesha lokwenyani kunye nokulandelelwa kwemisebenzi okusebenzayo. Ngokudibanisa iiprotokholi zeArhente kwiArhente, le nkqubo yenza ngokuzenzekelayo iingxoxo zangasemva, evumela abasebenzisi ukuba balawule izicelo zerhuluneli ephezulu ngokusebenzisa imodeli yonxibelelwano elula, engenaxinzelelo.

Ukuqatshelwa

Malunga ne-Ibhaso Lentsimbi le-A' Design Award

Sprounix I Arhente yeNgqesho ye-AI ngumphumeleli weIbhaso Lentsimbi le-A' Design Award, ukuqatshelwa okuhlonitshwayo okunikwa imiyilo elungileyo eyanelisa iimfuno zobungcali neemveliso ezilindelekileyo kwimveliso ezicwangciswe kakuhle. Abaphumeleleyo beNtsimbi babonisa ubuchule obukhulu, ubuchule obuphezulu, ukuqonda kwengcali namandla okuyila abayili babo. Sprounix I Arhente yeNgqesho ye-AI iyathenjwa ukuba ibe yimveliso exatyiswa kakhulu, edunyiswayo nethandwayo esebenzayo neyinto entsha. Lo myilo uphumeleleyo weIbhaso Lentsimbi le-A' Design Award udibanisa iindlela ezilungileyo kakhulu zemboleko kwaye unezimpawu zobuchwephesha ezifanelekileyo ezidityaniswe nolwazi netalente. Sprounix I Arhente yeNgqesho ye-AI iyahlonelwa ngenxa yenkcukacha yayo kwaye yacwangciselwa ukunika uphuculo lomgangatho wobomi olunceda ukwenza ihlabathi libe yindawo engcono.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: 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.
Iithegi: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Ubuchwepheshe Bokuvelisa: 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.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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.
Ubude Beprojekthi: 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.
Ukuhamba Komsebenzi: 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.
Amalungu Eqela: Xiaoshi Dai
Feifan Gao
Di Xia
Amagunya Emifanekiso: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao