Sprounix Mumiriri weBasa weAI naXiaoshi Dai, Di Xia and Feifan Gao

Dhizaini Sprounix Mumiriri weBasa weAI naXiaoshi Dai, Di Xia and Feifan Gao ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2026 Mubairo weSimbi we A' Design Award muChikwata cheKukwikwidza cheDhizaini yeChigadzirwa cheDhijitari.

SimbiChigadzirwa cheDhijitari· 2026

Sprounix Mumiriri weBasa weAI

na Xiaoshi Dai, Di Xia and Feifan Gao

Mutengi: Sprounix

Mukundi weMubairo weSimbi we A' Design Award muChikwata cheChigadzirwa cheDhijitari

5,263

Mukundi weMubairo Akasimbiswa

Simbisa Mamiriro eMubairo we#183302

Shanyira Saiti Ona pa A' Design Award Mashoko Enhau Bheji reMubairo

Mavara

Dhizaini

Nezvekwa Sprounix Mumiriri weBasa weAI

Sprounix imhando yekutaurirana inoshandiswa neAI yakagadzirirwa kurerutsa maitiro akaomarara ekukumbira basa kuburikidza nemashandisirwo anotaurirana. Kugadzirisa dambudziko rekuneta nekukumbira basa, dhizaini iyi inotsiva mafomu akamira nemhando yekutaurirana ine nzira dzakawanda inotora hunyanzvi hwepfungwa kuburikidza nehurukuro yechisikigo. UI iyi ine dheshibhodhi yekubatsira (Co pilot) inoyerera inopa kudzidziswa kwekubvunzurudza panguva chaiyo nekutevedzera basa kwakajeka. Nekubatanidza maprotocol eAgent kuenda kuAgent, sisitimu inoita basa rekutaurirana kwemberi kwakavanzika roga, ichibvumira vashandisi kuti vatarisire zvikumbiro zvakawanda kuburikidza nemhando yekudyidzana yakarerutswa, isina kushushikana.

Kuzivikanwa

Nezve Mubairo weSimbi we A' Design Award

Mubairo weSimbi we A' Design Award wakahwinwa ne Sprounix Mumiriri weBasa weAI, rukudzo runokudzwa runopiwa kumadhizaini akanaka anozadzisa zvinodiwa zvehunyanzvi neyeindasitiri zvinotarisirwa kuzvigadzirwa zvakagadzirwa zvakanaka. Vakunda veSimbi vanoratidza unyanzvi hukuru, hunyanzvi hwakakwirira, kunzwisisa kwevakachenjera uye kugona kwekugadzira kwevagadziri vavo. Sprounix Mumiriri weBasa weAI inotarisirwa kuva chigadzirwa chinokudzwa zvakanyanya, chinoremekedzwa uye chinodiwa, chinoshanda uye chine zvitsva. Dhizaini iyi yakahwina Mubairo weSimbi we A' Design Award inosanganisa maitiro akanakisa eindasitiri uye ine hunhu hwetekinoroji hwakakwana hwakabatana neruzivo nehunyanzvi. Nekushanda kwayo zvakanaka, Sprounix Mumiriri weBasa weAI inoremekedzwa uye yakagadzirirwa kupa kuvandudzwa kwehupenyu kunobatsira kuita kuti nyika ive nzvimbo iri nani.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Kukura & Kupakiwa: 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.
Matagi: AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
Tekinoroji Yekugadzira: 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.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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.
Chikurudziro: 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.
Nguva yePurojekiti: 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.
Mafambiro eBasa: 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.
Nhengo dzeTimu: Xiaoshi Dai
Feifan Gao
Di Xia
Zvikwereti zveMifananidzo: Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao