Sprounix Primarna funkcija: Karierni agent z umetno inteligenco – avtor Xiaoshi Dai, Di Xia and Feifan Gao

Delo Sprounix Primarna funkcija: Karierni agent z umetno inteligenco avtorja Xiaoshi Dai, Di Xia and Feifan Gao je izjemno cenjeni dobitnik prestižne nagrade 2026 Železna nagrada A' Design Award v tekmovalni kategoriji Oblikovanje digitalnih izdelkov.

ŽeleznaDigitalni izdelek· 2026

Sprounix Primarna funkcija: Karierni agent z umetno inteligenco

avtor/ica: Xiaoshi Dai, Di Xia and Feifan Gao

Naročnik: Sprounix

Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Digitalni izdelek

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Dizajn

O dizajnu Sprounix Primarna funkcija: Karierni agent z umetno inteligenco

Sprounix je vmesnik, ki ga poganja umetna inteligenca in je zasnovan za poenostavitev zapletenega postopka prijave na delovna mesta s pomočjo pogovorne uporabniške izkušnje. Za rešitev težave z utrujenostjo ob prijavljanju zasnova nadomešča statične obrazce z večmodalnim klepetalnim vmesnikom, ki s pomočjo naravnega dialoga zajame mehke veščine. Uporabniški vmesnik vključuje tekočo nadzorno ploščo Co pilot, ki zagotavlja sprotno mentorstvo za razgovore in pregledno spremljanje nalog. Z vključitvijo protokolov med agenti sistem avtomatizira pogajanja v zaledju, kar uporabnikom omogoča upravljanje pogostih prijav prek poenostavljenega in stresa prostega modela interakcije.

Priznanje

O nagradi Železna nagrada A' Design Award

Sprounix Primarna funkcija: Karierni agent z umetno inteligenco je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Sprounix Primarna funkcija: Karierni agent z umetno inteligenco se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Sprounix Primarna funkcija: Karierni agent z umetno inteligenco zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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.
Dimenzije in embalaža: 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.
Oznake: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Inspiracija: 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.
Trajanje projekta: 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.
Potek delovanja: 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.
Člani ekipe: Xiaoshi Dai
Feifan Gao
Di Xia
Zasluge za slike: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao