Sprounix Agen Karier AI oleh Xiaoshi Dai, Di Xia and Feifan Gao

Karya Sprounix Agen Karier AI oleh Xiaoshi Dai, Di Xia and Feifan Gao adalah pemenang yang sangat dihormati dari 2026 A' Design Award Besi yang sangat bergengsi dalam Kategori Kompetisi Desain Produk Digital.

BesiProduk Digital· 2026

Sprounix Agen Karier AI

oleh Xiaoshi Dai, Di Xia and Feifan Gao

Klien: Sprounix

Pemenang A' Design Award Besi dalam Kategori Produk Digital

5,754

Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan untuk #183302

Kunjungi Situs Lihat di A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desain

Tentang Sprounix Agen Karier AI

Sprounix adalah antarmuka berbasis AI yang dirancang untuk menyederhanakan proses lamaran kerja yang rumit melalui UX percakapan. Untuk mengatasi masalah kelelahan dalam melamar, desain ini menggantikan formulir statis dengan antarmuka obrolan multimodal yang menangkap soft skill melalui dialog alami. UI ini menampilkan dasbor Co-pilot yang dinamis dan memberikan pelatihan wawancara secara real time serta pelacakan tugas yang transparan. Dengan mengintegrasikan protokol Agent to Agent, sistem ini mengotomatiskan negosiasi backend, memungkinkan pengguna mengelola lamaran berfrekuensi tinggi melalui model interaksi yang disederhanakan dan bebas stres.

Pengakuan

Tentang A' Design Award Besi

Sprounix Agen Karier AI adalah pemenang A' Design Award Besi, pengakuan yang bergengsi yang diberikan kepada desain yang baik yang memenuhi persyaratan profesional dan industri yang diharapkan dari kreasi yang dirancang dengan baik. Pemenang Besi menunjukkan keterampilan yang besar, spesialisasi yang tinggi, pemahaman ahli, dan kapasitas kreatif para penciptanya. Sprounix Agen Karier AI diharapkan menjadi kreasi yang sangat dihargai, dikagumi, dan dicintai yang praktis dan inovatif. Desain pemenang A' Design Award Besi ini mengintegrasikan praktik terbaik industri dan memiliki karakteristik teknis yang kompeten yang terkait dengan pengetahuan teknis dan bakat. Sprounix Agen Karier AI dihormati karena ketelitiannya dan dirancang untuk memberikan peningkatan kualitas hidup yang membantu menjadikan dunia tempat yang lebih baik.

Di Balik Desain

Kit Pers

Kredit, anggota tim, dan detail teknis yang disediakan oleh desainer.

Keunikan: 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.
Dimensi & Kemasan: 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.
Tag: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Teknologi Produksi: 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.
Tantangan Desain: 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.
Riset: 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.
Inspirasi: 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.
Durasi Proyek: 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.
Alur Operasi: 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.
Anggota Tim: Xiaoshi Dai
Feifan Gao
Di Xia
Kredit Gambar: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao