Sprounix د دندې مصنوعي ذکاوت استازی by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 د اوسپنې A' Design Award جایزه in د ډیجیټل محصول ډیزاین Competition Category.
اوسپنهډیجیټل محصول· 2026
Sprounix د دندې مصنوعي ذکاوت استازی
by Xiaoshi Dai, Di Xia and Feifan Gao
Client: Sprounix
د اوسپنې A' Design Award جایزه Winner in ډیجیټل محصول Category
Verified Award Winner
Verify Award Status for #183302The Design
About Sprounix د دندې مصنوعي ذکاوت استازی
سپراونیکس یو د مصنوعي ذکاوت پر بنسټ انٹرفیس دی چې د خبرو اترو پر بنسټ د کارونکي تجربې له لارې د دندې غوښتنلیک پیچلې بهیر اسانه کولو لپاره ډیزاین شوی دی. د غوښتنلیک د ستړیا ستونزې د حل لپاره، دا ډیزاین ثابت فورمې د څو حالته چیټ انٹرفیس سره بدلوي چې د طبیعي خبرو اترو له لارې نرمې مهارتونه نیسي. د کارونکي انٹرفیس یو روان کو-پایلوټ ډشبورډ لري چې په ریښتیني وخت کې د مرکې روزنه او شفاف د دندو تعقیب وړاندې کوي. د استازي څخه استازي ته پروتوکولونو په یوځای کولو سره، سیسټم د شاتنۍ خوا خبرې اترې اتومات کوي، چې کارونکو ته اجازه ورکوي د یوه ساده، فشار پرته تعامل ماډل له لارې د لوړ فریکونسۍ غوښتنلیکونه اداره کړي.
The Recognition
About the د اوسپنې A' Design Award جایزه
Sprounix د دندې مصنوعي ذکاوت استازی د اوسپنې A' Design Award جایزې ګټونکی دی، یوه ویاړلې پېژندنه چې ښو ډیزاینونو ته ورکول کېږي چې هغه مسلکي او صنعتي اړتیاوې پوره کوي چې له ښه ډیزاین شویو جوړښتونو څخه تمه کېږي. د اوسپنې ګټونکي د خپلو جوړوونکو لویه مهارت، لوړه تخصص، کارپوهانه پوهه او خلاقي وړتیا ښيي. له Sprounix د دندې مصنوعي ذکاوت استازی څخه تمه کېږي چې یو ډېر ارزښتناک، ستایل شوی او ګران جوړښت وي چې عملي او نوښتګر دی. دا د اوسپنې A' Design Award جایزې ګټونکی ډیزاین د صنعت غوره کړنلارې یو ځای کوي او وړ تخنیکي ځانګړتیاوې لري چې له پوهې او استعداد سره تړلي دي. Sprounix د دندې مصنوعي ذکاوت استازی د خپل دقت له امله درناوی کېږي او د ژوند د کیفیت داسې ښه والی وړاندې کولو لپاره ډیزاین شوی چې نړۍ یو ښه ځای ګرځولو کې مرسته کوي.
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
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