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The client wanted an English learning app for employees. What they actually needed was a workplace system where English supported real work—not isolated lessons. We designed a context-aware learning platform that embeds English practice directly into meetings, emails, and daily communication. We mapped the top blockers for learners: fear of making mistakes, lack of feedback, and practice fatigue. Then we built responses to each into the product.
View Case StudyThe client set out to refresh an existing neighborhood app that had grown stagnant despite a large global user base. Engagement was inconsistent, and only a fraction of registered members returned weekly. The issue wasn't the connection. Rather, it was relevance. We approached this as a platform app development and AI integration challenge. Instead of redesigning the feed, we rebuilt the experience around hyperlocal utility, combining verified news, neighborhood-trained LLM agents, and real-time alerts to make the app essential to everyday living.
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Pet owners were already part of multiple online groups, but meaningful support was missing. Advice was scattered, conversations lacked structure, and critical care-related context often got lost between platforms. The goal of this project was to rethink community app development for pet care—designing a mobile app where conversations were organized, guidance was reliable, and everyday interactions translated into better decisions for pets.
View Case StudyAnd the community should feel like support - not noise.
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