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.
Talkie AI focuses on high-quality character interactions rather than generic chat completions. We worked on tools that let creators define persona, tone, boundaries, and long-term memory in a structured way so characters behave consistently over time.
The chat interface is optimised for low-latency streaming responses, message retries, and graceful handling of model timeouts. We tuned payload sizes and connection management so conversations feel fluid even on mobile networks.
We integrated layered safety mechanisms including pre-filters, post-filters, and configurable policies per character or workspace. Creators get feedback when prompts push against policy boundaries so they can adjust before content goes live.
In-app purchase hooks, creator dashboards, and analytics around retention and revenue help the business iterate quickly. Experiments around pricing and feature gating can be run without custom engineering work for each new idea.