ຜົນງານ Sprounix ຕົວແທນອາຊີບ AI ໂດຍ Xiaoshi Dai, Di Xia and Feifan Gao ເປັນຜູ້ຊະນະທີ່ໄດ້ຮັບຄວາມນັບຖືສູງຂອງລາງວັນ 2026 A' Design Award ລະດັບເຫຼັກ ອັນຊົງກຽດໃນໝວດການແຂ່ງຂັນ ການອອກແບບຜະລິດຕະພັນດິຈິຕອນ.
ເຫຼັກຜະລິດຕະພັນດິຈິຕອນ· 2026
Sprounix ຕົວແທນອາຊີບ AI
ໂດຍ Xiaoshi Dai, Di Xia and Feifan Gao
ລູກຄ້າ: Sprounix
ຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ໃນໝວດ ຜະລິດຕະພັນດິຈິຕອນ
ຜູ້ຊະນະລາງວັນທີ່ຢັ້ງຢືນແລ້ວ
ຢັ້ງຢືນສະຖານະລາງວັນສຳລັບ #183302ການອອກແບບ
ກ່ຽວກັບ Sprounix ຕົວແທນອາຊີບ AI
Sprounix ແມ່ນສ່ວນຕິດຕໍ່ທີ່ຂັບເຄື່ອນດ້ວຍ AI ທີ່ຖືກອອກແບບມາເພື່ອເຮັດໃຫ້ຂັ້ນຕອນການສະໝັກວຽກທີ່ສັບຊ້ອນມີຄວາມລຽບງ່າຍຂຶ້ນໂດຍຜ່ານ UX ແບບສົນທະນາ. ເພື່ອແກ້ໄຂບັນຫາຄວາມເມື່ອຍລ້າໃນການສະໝັກ, ການອອກແບບນີ້ໄດ້ປ່ຽນແທນແບບຟອມທີ່ຄົງທີ່ດ້ວຍສ່ວນຕິດຕໍ່ການສົນທະນາແບບຫຼາຍໂມດທີ່ເກັບກໍາທັກສະອ່ອນໂດຍຜ່ານການສົນທະນາແບບທໍາມະຊາດ. UI ນີ້ມີແຜງໜ້າປັດ Co-pilot ທີ່ລື່ນໄຫຼເຊິ່ງໃຫ້ການຝຶກສອນສໍາພາດແບບເວລາຈິງແລະການຕິດຕາມໜ້າວຽກທີ່ໂປ່ງໃສ. ໂດຍການປະສານລະບຽບການ Agent ຫາ Agent, ລະບົບນີ້ເຮັດໃຫ້ການເຈລະຈາດ້ານຫຼັງບ້ານເປັນແບບອັດຕະໂນມັດ, ໂດຍອະນຸຍາດໃຫ້ຜູ້ໃຊ້ສາມາດຈັດການການສະໝັກທີ່ມີຄວາມຖີ່ສູງໂດຍຜ່ານຮູບແບບການໂຕ້ຕອບທີ່ລຽບງ່າຍແລະປາສະຈາກຄວາມຕຶງຄຽດ.
ການຮັບຮູ້
ກ່ຽວກັບ A' Design Award ລະດັບເຫຼັກ
Sprounix ຕົວແທນອາຊີບ AI ແມ່ນຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ເຊິ່ງເປັນການຍອມຮັບທີ່ມີກຽດສຳລັບການອອກແບບທີ່ດີ ທີ່ຕອບສະໜອງຄວາມຕ້ອງການທາງວິຊາຊີບ ແລະ ອຸດສາຫະກຳທີ່ຄາດຫວັງຈາກຜົນງານທີ່ອອກແບບມາຢ່າງດີ. ຜູ້ຊະນະລະດັບເຫຼັກສະແດງເຖິງທັກສະອັນຍິ່ງໃຫຍ່ ຄວາມຊຳນານສະເພາະສູງ ຄວາມເຂົ້າໃຈຂອງຜູ້ຊ່ຽວຊານ ແລະ ຄວາມສາມາດໃນການສ້າງສັນຂອງຜູ້ສ້າງ. Sprounix ຕົວແທນອາຊີບ AI ຖືກຄາດວ່າຈະເປັນຜົນງານທີ່ໄດ້ຮັບການຍົກຍ້ອງສູງ ໜ້າຊົມເຊີຍ ແລະ ເປັນທີ່ຮັກແພງ ທີ່ໃຊ້ງານໄດ້ຈິງ ແລະ ມີນະວັດຕະກຳ. ການອອກແບບທີ່ຊະນະລະດັບເຫຼັກນີ້ລວມວິທີປະຕິບັດທີ່ດີທີ່ສຸດຂອງອຸດສາຫະກຳ ແລະ ມີຄຸນລັກສະນະທາງເຕັກນິກທີ່ມີຄວາມສາມາດ ເຊື່ອມໂຍງກັບຄວາມຮູ້ ແລະ ພອນສະຫວັນ. Sprounix ຕົວແທນອາຊີບ AI ໄດ້ຮັບການເຄົາລົບສຳລັບຄວາມລະອຽດຮອບຄອບ ແລະ ຖືກອອກແບບເພື່ອປັບປຸງຄຸນນະພາບຊີວິດ ຊ່ວຍເຮັດໃຫ້ໂລກເປັນບ່ອນທີ່ດີຂຶ້ນ.
ເບື້ອງຫຼັງການອອກແບບ
ຊຸດຂ່າວ
ຂໍ້ມູນ, ສະມາຊິກທີມ ແລະ ລາຍລະອຽດທາງເຕັກນິກທີ່ສະໜອງໂດຍນັກອອກແບບ.
- ຄຸນສົມບັດພິເສດ
- 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.
- ຂະໜາດ ແລະ ບັນຈຸພັນ
- 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.
- ແທັກ
- AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
- ເຕັກໂນໂລຊີການຜະລິດ
- 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.
- ສິ່ງທ້າທາຍດ້ານການອອກແບບ
- 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.
- ການຄົ້ນຄວ້າ
- 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.
- ແຮງບັນດານໃຈ
- 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.
- ໄລຍະເວລາໂຄງການ
- 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.
- ຂັ້ນຕອນການດຳເນີນງານ
- 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.
- ສະມາຊິກທີມ
- Xiaoshi Dai
Feifan Gao
Di Xia - ເຄຣດິດຮູບພາບ
- Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao
ໂຄສະນາ
ສຳຫຼວດນອກເໜືອຈາກ Designers.org
ຄົ້ນພົບຜະລິດຕະພັນ, ບໍລິການ ແລະ ໂອກາດຈາກຄູ່ຮ່ວມໂຄສະນາຂອງພວກເຮົາ.
ສຳຫຼວດເພີ່ມເຕີມ
ການອອກແບບທີ່ກ່ຽວຂ້ອງ
ສຳຫຼວດການອອກແບບທີ່ໄດ້ຮັບລາງວັນເພີ່ມເຕີມຈາກໝວດໝູ່ດຽວກັນ, ຄັດເລືອກຕາມຄຸນນະພາບ.
