Tlanāhuatīlli Curi Curi AI Teixmatiliznemachticayotl ītēchcopa Chiwon Lee cē cencā mahuizzō tēmacēhualōni īpan huēyi 2025 Mahuizolli A' Design Award Tepoztli īpan Oliniatepoztli, Tlahtolchihualli ihuan Tepoztlahtolamatl Tlachihchihualiztli Nēhuilīztli Tlamantli.
TepoztliOliniatepoztli· 2025
Curi Curi AI Teixmatiliznemachticayotl
īpal Chiwon Lee
Tlanāhuatīlli: Cogito
Mahuizolli A' Design Award Tepoztli Tēmacēhualōni īpan Oliniatepoztli Tlamantli
Tlaneltīlīlli Tēmacēhualōni
Xictlaneltilia Tēmacēhualli ītēchcopa #163592Tlanēxtilistli
Ītechcopa Curi Curi AI Teixmatiliznemachticayotl
Curi ce AI teixmatiliznemachticayotl in kichihua tlachihualli tlamatiliztli ihuan hueyac tlahtolcaquilizchinantli ipan kimacaz cualtzin tequitl teixmatiliztli. Kimochihuilia nelli teixmatiliani amoxtlapohualli, Curi yoliliztlica kinnamictia teixmachticah ihuan AI teixmatilianime kampa intlanequiliz, kichihuilia ahmoyolpachihui teixnextiliztli. Mochiuhtoc ipan motekitiltiz huelitiliztli xeloliliztli in opilhuac ica amoxtlamatiliztli xeloliliztli, Curi altepeyoliliztlica mochihuilia teixmatiliznemachticayotl calacoliztli ihuan kimacaz yehyekatl, amoxtlapohualli-tlachihualli tequitl tlachializtli. Ahmokimati tleica in altepeyotl nenenquiliztli, tlamochihuianime kinpiaz ce tlamatini ihuan mopatla teixmatiliani in huelitiz kinmacaz yehyekatl teixmatiliztli, kitzacuaz nepantla tlanequiliztli ihuan huelitiliztli.
Tēixīmachōtiliztli
Ītechcopa Mahuizolli A' Design Award Tepoztli
Curi Curi AI Teixmatiliznemachticayotl ca in quicuic in Mahuizolli A' Design Award Tepoztli, tlamahuizoliztli tlen momaca in cualli dizayno in quitlalia in tlen monequi ipan tequitl ihuan tlachihualiztli in quimaca in cualli tlachihualli. In quicuicah Tepoztli quinextia in hueyi tlamatiliztli, toltecayotl ihuan ihuelitiliztli intlachihuanime. Ca quinequi in Curi Curi AI Teixmatiliznemachticayotl ca tlazohtli, mahuiztic, yancuic ihuan motequiuhtia. Ni dizayno in quicuic Tepoztli quihuelitia in tlamatiliztli ihuan quipia chicahualiztli tlen tepoztli. Curi Curi AI Teixmatiliznemachticayotl quicualtia in nemiliztli ihuan quihuelitia in cemanahuac ica cualli.
Tlanēxtilistli Ītēixpan
Āmatl Tlanextīliztli
Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.
- Cē Zan Ītēchcopa
- Curi is an accessible AI mentoring platform designed to bridge the career opportunity gap. It features an Agentic AI mentor, trained on real mentor data, that adapts to users' interests and needs. By providing a pressure-free space for mentees to ask questions and explore careers, Curi ensures quality mentorship is always within reach. Through intelligent matching and seamless interaction, it empowers users to gain insights, build confidence, and navigate their professional journeys with ease.
- Huēyiliztli īhuān Tlacualtepēhualli
- The design dimensions are 393px by 852px, optimized for iPhone 14 & 15 Pro and iPhone 16. The interface is scalable, ensuring adaptability across various screen sizes. AI mentors are trained in career-related information, with a focus on technology and fields popular among high school and college students. All data fed to AI avatars is carefully screened for quality and accuracy, ensuring reliable guidance.
- Tōcāitl
- Mentoring, AI, Generative AI, User Experience, Opportunity Divide
- Tlachīhualiztli Māchiyōtl
- The research and design process leveraged Figma and FigJam for prototyping, Blender for 3D visualization, and the OpenAI API for AI-driven prototyping, ensuring a seamless and innovative workflow.
- Tlanāhuatīlli Nētēcahuilīztli
- The research challenge focused on understanding the needs of users affected by the opportunity divide caused by the digital gap. A key insight revealed that mentees often feel pressured to ask intelligent questions despite limited career knowledge, while mentors struggle to allocate time for minor inquiries. To bridge this gap, the Agentic AI mentor was created, allowing mentees to ask career-related questions freely while helping mentors manage their time more effectively.
- Tlatēmōliztli
- This research combined quantitative and qualitative methods to explore the challenges mentors and mentees face with traditional mentoring platforms. The goal was to uncover key pain points and improve the mentoring experience. Data was collected, analyzed, and synthesized into actionable insights to inform a more effective and user-centered solution.
- Tēyōllālīliztli
- This design redefines mentorship by addressing the opportunity divide created by the digital divide. The goal is to make quality mentoring accessible to those who need it most. Through in-depth user research and competitive analysis, we identified key challenges in existing platforms, uncovering gaps in usability, accessibility, and engagement. These insights shaped a more intuitive, impactful solution that empowers individuals to connect, learn, and grow without barriers.
- Tēquitl Cāhuitl
- Launched in 2024, the project was developed remotely by a team of designers and researchers across New York, Singapore, Seoul, and California, fostering a global collaboration.
- Tēquitl Ōhuitl
- Users step into Curi, choose an industry, position, and location, and get matched with an AI mentor built on real professional insights. The AI mentor adapts, offering tailored career guidance through seamless, interactive conversations. Key moments include selecting a mentor, exploring insights, and diving into real mentor stories. Curi transforms career discovery, making it intuitive, engaging, and packed with real-world wisdom for better decision-making.
- Calpolli Tlācah
- Chiwon Lee
Lauren Choi
Seongbin Lee
Hyunjong Joo
Giah Kim
Hyobin Cho
Yeji Shim
Tlacōhualli
Xictlahtlachia Achi Huēca Designers.org
Xictēmoa tlanāhuatīlli, tēquitl īhuān tlanāhuatīlli ītēchcopa totlanōnōtzalcāhuān.
Ōc Cequi Tiquitta
Tlanēxtīliztli Tlanāhuatīlli
Xiquitta ōc cequi tlanēxtīliztli tēixīmachōtīlli īpan inīn tlahtlamanilistli, tlapepenalli ītechcopa īnqualli.
