Sprounix AI agent za karijeru – dizajner Xiaoshi Dai, Di Xia and Feifan Gao

Dizajn Sprounix AI agent za karijeru čiji je autor Xiaoshi Dai, Di Xia and Feifan Gao iznimno je cijenjeni dobitnik prestižne nagrade 2026 Željezna nagrada A' Design Award u natjecateljskoj kategoriji Dizajn Digitalnog Proizvoda.

ŽeljezoDigitalni Proizvod· 2026

Sprounix AI agent za karijeru

autor/ica Xiaoshi Dai, Di Xia and Feifan Gao

Klijent: Sprounix

Dobitnik nagrade Željezna nagrada A' Design Award u kategoriji Digitalni Proizvod

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Dizajn

O dizajnu Sprounix AI agent za karijeru

Sprounix je sučelje pokretano umjetnom inteligencijom osmišljeno za pojednostavljenje složenog procesa prijave za posao kroz konverzacijsko korisničko iskustvo. Kako bi se riješio problem umora od prijava, dizajn statične obrasce zamjenjuje multimodalnim chat sučeljem koje kroz prirodni dijalog prepoznaje meke vještine. Korisničko sučelje odlikuje se fluidnom Co-pilot nadzornom pločom koja pruža trening za intervjue u stvarnom vremenu i transparentno praćenje zadataka. Integriranjem protokola između agenata (Agent to Agent), sustav automatizira pozadinske pregovore, omogućujući korisnicima upravljanje učestalim prijavama kroz pojednostavljeni model interakcije bez stresa.

Priznanje

O nagradi Željezna nagrada A' Design Award

Sprounix AI agent za karijeru je pobjednik Željezne nagrade A' Design Award, prestižnog priznanja koje se dodjeljuje dobrim dizajnima što ispunjavaju profesionalne i industrijske zahtjeve očekivane od dobro dizajniranih kreacija. Željezni pobjednici pokazuju veliku vještinu, visoku specijalizaciju, stručno razumijevanje i kreativne kapacitete svojih stvaratelja. Očekuje se da Sprounix AI agent za karijeru bude visoko cijenjena, voljena i njegovana kreacija koja je praktična i inovativna. Ovaj dizajn koji je osvojio Željeznu nagradu A' Design Award integrira najbolje industrijske prakse i ima kompetentne tehničke karakteristike povezane sa znanjem i talentom. Sprounix AI agent za karijeru se poštuje zbog svoje temeljitosti i dizajniran je da pruži poboljšanja kvalitete života koja pomažu da svijet postane bolje mjesto.

Iza dizajna

Komplet za medije

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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 i pakiranje: 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.
Dizajnerski izazov: 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.
Istraživanje: 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.
Tijek rada: 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.
Članovi tima: Xiaoshi Dai
Feifan Gao
Di Xia
Zasluge za fotografije: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao