Case Study
A closer look at how this system was designed, architected, and rolled out in production. Each section below captures one part of the delivery story—from scoping and UX to data pipelines, integrations, and ongoing operations.
Partnered with the founding team to turn an early prototype into a fully featured AI social world where people create, share, and talk with AI characters. We designed timelines, discovery surfaces, and conversation entry points so the experience feels like a familiar social app while still highlighting the novelty of AI-generated entities.
We built a character pipeline that stitches together prompt templates, memory stores, and safety rules into a single service. Creators can customise backstories, goals, and personalities while the platform automatically handles session state, tool calling, and streaming responses so conversations stay fast and coherent.
Feed rendering, notifications, and conversation summaries are backed by a mix of edge-cached Next.js routes and real-time APIs. We tuned the data model for high fan-out reads, optimised image delivery, and added background jobs for expensive operations like recap generation so the UI remains responsive even under heavy load.
Moderation hooks run at multiple layers: user input, model output, and character configuration. We exposed internal review tools for the ops team, added rate limits and abuse detection, and instrumented the system with metrics and structured logs so policy issues can be investigated without slowing down feature delivery.