Xiaoshi Dai, Di Xia and Feifan Gao tarapyndan Sprounix Esasy Wezipe: Ai Karýera Agenti

Xiaoshi Dai, Di Xia and Feifan Gao tarapyndan döredilen Sprounix Esasy Wezipe: Ai Karýera Agenti dizaýny Sanly Önüm Dizaýny Bäsleşik Kategoriýasynda 2026 A' Design Award Demir Baýragy baýragynyň abraýly ýeňijisidir.

DemirSanly Önüm· 2026

Sprounix Esasy Wezipe: Ai Karýera Agenti

dizaýner: Xiaoshi Dai, Di Xia and Feifan Gao

Müşderi: Sprounix

Sanly Önüm Kategoriýasynda A' Design Award Demir Baýragy Ýeňijisi

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Dizaýn

Sprounix Esasy Wezipe: Ai Karýera Agenti hakynda

Sprounix – çylşyrymly iş arzasy prosesini gepleşik görnüşindäki UX arkaly ýönekeýleşdirmek üçin döredilen emeli aň esasly interfeýsdir. Arza tabşyrmakdan ýadawlyk meselesini çözmek üçin, dizaýn statik formalary tebigy gepleşik arkaly ýumşak başarnyklary ele alýan köp modally söhbetdeşlik interfeýsi bilen çalyşýar. UI bolsa hakyky wagtda söhbetdeşlik tälimini we aýdyň iş yzarlamasyny üpjün edýän akgynly Co pilot dolandyryş paneline eýedir. Agentden Agente protokollaryny birleşdirmek arkaly, ulgam arka tarapdaky gepleşikleri awtomatlaşdyrýar, bu bolsa ulanyjylara ýokary ýygylykdaky arzalary ýönekeýleşdirilen, stressiz gatnaşyk modeli arkaly dolandyrmaga mümkinçilik berýär.

Ykrar etme

A' Design Award Demir Baýragy hakynda

Sprounix Esasy Wezipe: Ai Karýera Agenti A' Design Award Demir Baýragynyň ýeňijisidir; bu gowy dizaýn edilen eserlerden garaşylýan hünär we senagat talaplaryny kanagatlandyrýan gowy dizaýnlara berilýän abraýly ykrarnamadyr. Demir ýeňijileri döredijileriniň uly başarnygyny, ýokary ugurlaşygyny, hünärmen düşünjesini we döredijilik ukybyny görkezýär. Sprounix Esasy Wezipe: Ai Karýera Agenti uly baha berilýän, haýran galynýan we söýülýän, amaly we täzelikçi eser bolmagy garaşylýar. A' Design Award Demir Baýragyny gazanan bu dizaýn pudagyň iň oňat tejribelerini birleşdirýär we bilim we zehin bilen baglanyşykly ukyply tehniki aýratynlyklara eýedir. Sprounix Esasy Wezipe: Ai Karýera Agenti jikme-jikligi üçin hormatlanylýar we dünýäni has gowy ýere öwürmäge kömek edýän ýaşaýyş hilini gowulandyrýan zatlary hödürlemek üçin dizaýn edilendir.

Dizaýnyň sahna arkasy

Metbugat toplumy

Dizaýner tarapyndan berlen kreditler, topar agzalary we tehniki maglumatlar.

Üýtgeşik Aýratynlyklar: 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.
Ölçegler we Gaplama: 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.
Bellikler: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Önümçilik Tehnologiýasy: 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.
Dizaýn Kynçylygy: 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.
Gözleg: 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.
Ylham: 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.
Taslama Dowamlylygy: 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.
Iş Akymy: 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.
Topar Agzalary: Xiaoshi Dai
Feifan Gao
Di Xia
Surat Awtorlary: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao