Xiaoshi Dai, Di Xia and Feifan Gao ᱨᱮᱱᱟᱜ Sprounix ᱢᱩᱲ ᱠᱟᱹᱢᱤ: AI ᱠᱮᱨᱤᱭᱟᱨ ᱮᱡᱮᱱᱴ ᱫᱚ ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱞᱚᱦᱟᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ· 2026
Sprounix ᱢᱩᱲ ᱠᱟᱹᱢᱤ: AI ᱠᱮᱨᱤᱭᱟᱨ ᱮᱡᱮᱱᱴ
Xiaoshi Dai, Di Xia and Feifan Gao ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Sprounix
ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#183302 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Sprounix ᱢᱩᱲ ᱠᱟᱹᱢᱤ: AI ᱠᱮᱨᱤᱭᱟᱨ ᱮᱡᱮᱱᱴ ᱵᱟᱵᱚᱛ ᱛᱮ
Sprounix ᱫᱚ ᱢᱤᱫ AI ᱫᱟᱨᱟᱭ ᱛᱮ ᱪᱟᱞᱟᱣ ᱠᱟᱱ ᱤᱱᱴᱟᱨᱯᱷᱮᱥ ᱠᱟᱱᱟ ᱡᱟᱹᱦᱟᱸ ᱫᱚ ᱡᱚᱛᱚ ᱡᱚᱱᱚᱲ ᱡᱚᱵᱽ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱯᱨᱚᱥᱮᱥ ᱢᱤᱫ ᱜᱟᱞᱢᱟᱨᱟᱣ ᱣᱟᱞᱟ UX ᱦᱚᱛᱮᱛᱮ ᱦᱟᱹᱲ ᱪᱟᱞᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱰᱤᱡᱟᱭᱱ ᱠᱟᱱᱟ ᱾ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱛᱷᱠᱟᱹ ᱨᱮᱭᱟᱜ ᱫᱷᱟᱸᱫᱷᱟ ᱵᱷᱟᱹᱜᱤ ᱞᱟᱹᱜᱤᱫ, ᱱᱚᱶᱟ ᱰᱤᱡᱟᱭᱱ ᱫᱚ ᱴᱷᱤᱠ ᱯᱷᱚᱨᱢ ᱠᱚ ᱵᱚᱫᱚᱞ ᱛᱮ ᱢᱤᱫ ᱢᱟᱹᱞᱴᱤ ᱢᱳᱰᱟᱞ ᱪᱮᱴ ᱤᱱᱴᱟᱨᱯᱷᱮᱥ ᱮᱢᱟᱜ ᱠᱟᱱᱟ ᱡᱟᱹᱦᱟᱸ ᱫᱚ ᱥᱟᱦᱡᱽ ᱜᱟᱞᱢᱟᱨᱟᱣ ᱛᱮ ᱥᱚᱯᱷᱴ ᱥᱠᱤᱞ ᱠᱚ ᱦᱟᱛᱟᱣᱟ ᱾ UI ᱫᱚ ᱢᱤᱫ ᱫᱚᱲᱦᱟ ᱪᱟᱞᱟᱣ ᱠᱚ-ᱯᱟᱭᱞᱚᱴ ᱰᱮᱥᱵᱳᱨᱰ ᱫᱚᱦᱚ ᱠᱟᱱᱟ ᱡᱟᱹᱦᱟᱸ ᱫᱚ ᱴᱷᱤᱠ ᱚᱠᱛᱚ ᱨᱮ ᱤᱱᱴᱟᱨᱣᱤᱣ ᱠᱳᱪᱤᱝ ᱟᱨ ᱯᱟᱨᱫᱚᱨᱥᱤ ᱴᱟ�skᱴᱨᱮᱠᱤᱝ ᱮᱢᱟᱜ ᱠᱟᱱᱟ ᱾ ᱮᱡᱮᱱᱴ ᱴᱩ ᱮᱡᱮᱱᱴ ᱯᱨᱚᱴᱚᱠᱚᱞ ᱢᱮᱥᱟ ᱛᱮ, ᱱᱚᱶᱟ ᱥᱤᱥᱴᱚᱢ ᱫᱚ ᱵᱮᱠᱮᱱᱰ ᱱᱮᱜᱳᱥᱤᱮᱥᱚᱱ ᱠᱚ ᱟᱭᱟᱛᱟ ᱨᱮᱱᱟᱜ ᱾ ᱱᱚᱱᱰᱮ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚ ᱢᱤᱫ ᱥᱟᱦᱡᱽ, ᱫᱟᱹᱭᱠᱟᱹ ᱵᱟᱝ ᱜᱟᱞᱢᱟᱨᱟᱣ ᱢᱳᱰᱮᱞ ᱦᱚᱛᱮᱛᱮ ᱨᱮᱱ ᱱᱟᱯᱟᱭ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱚ ᱢᱮᱱᱮᱡ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Sprounix ᱢᱩᱲ ᱠᱟᱹᱢᱤ: AI ᱠᱮᱨᱤᱭᱟᱨ ᱮᱡᱮᱱᱴ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Sprounix ᱢᱩᱲ ᱠᱟᱹᱢᱤ: AI ᱠᱮᱨᱤᱭᱟᱨ ᱮᱡᱮᱱᱴ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- 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.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 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.
- ᱴᱮᱜ ᱠᱚ
- AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- 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.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- 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.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- 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.
- ᱯᱨᱮᱨᱚᱱᱟ
- 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.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- 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.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- 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.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Xiaoshi Dai
Feifan Gao
Di Xia - ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao
ᱥᱯᱚᱱᱥᱚᱨᱰ
Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ
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ᱟᱨᱦᱚᱸ ᱠᱷᱚᱡ ᱢᱮ
ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
