A living, breathing AI-powered world built from the ground up.

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Project Summary

Enjoy – AI Town is not just another AI chat app. It’s a fully immersive AI-driven social simulator where users can create, explore, and connect with a world filled with intelligent, evolving characters. Each resident in the town has their own personality, goals, and the ability to interact in surprisingly human ways.

For us, this wasn’t just about building a product. It was about building a believable society powered by AI, and making it feel real, playable, and personal.

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Our Role

We led the full-stack development of AI Town, from technical architecture and UX design to AI implementation and performance optimization. The app was built for iOS with future scalability in mind (potential cross-platform expansion).

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Project Goals

Build a mobile world populated by thousands of AI entities who could interact with the user and each other dynamically.

Let users create, not just consume, by enabling the design of characters, venues, outfits, relationships, and more.

Make the experience feel alive: emotional depth, emergent behavior, and storytelling freedom.

Ensure smooth performance on a range of devices, with a UI that felt intuitive and expressive.

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The Development Journey

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What Went Right

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AI Behavior Engine

We built a custom logic system that allowed AI characters to remember user interactions, form opinions, and even develop relationships over time. Getting this to feel natural (not robotic) was a breakthrough in blending conversational AI with world-building mechanics.

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Dynamic Content Systems

From clothing to venues to virtual pets, we implemented modular systems that allowed users to mix, match, and generate new assets seamlessly, making creation easy, but output polished.

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Rich Customization Tools

Whether you’re designing a character or furnishing a beach house, the UI/UX had to feel fluid. We iterated on this heavily until users could create without friction.

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What We Overcame

Scalability of AI Interactions
Challenge: Building a town of 4,000+ characters who each have individual memory and interact contextually was a real challenge.
Solution: We built a hybrid local/cloud-based memory system that offloaded long-term interactions to the backend while keeping real-time interactions snappy on device.

Balancing Freedom with Structure
Challenge: Too much freedom can overwhelm users.
Solution: We created contextual prompts, tiered unlocks, and a discovery system that gently nudged users to explore more deeply without feeling forced.

iOS Performance Bottlenecks
Challenge: Rendering hundreds of interactive objects while running AI in the background caused performance dips.
Solution: We used intelligent batching, asynchronous rendering, and lazy loading to optimize responsiveness, especially on older iPhones.

Maintaining Personality Consistency in AI
Challenge: Characters needed to "feel" consistent over time, remembering past events, evolving relationships, and maintaining tone.
Solution: We designed a multi-layered AI model that combined static personality traits with dynamic memory, creating continuity without repetitive behavior.

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