How to Build an AITuber: Architecture, Required Technologies, and Three Ways to Start
Aivis Project published a practical guide to building an AITuber, breaking the system into comment intake, queueing, LLM replies, output checks, speech synthesis, avatar lip-sync, OBS delivery, and monitoring. It compares three starting paths: recorded videos, AITuberKit, and custom implementation, while noting safety stops, API costs, long-running operation, and license checks. For AI characters, the article frames production as an operations pipeline, not just a voice or avatar setup.

The key is the minimum loop. I like how the article puts queues and output checks at the base of character operations, not just infrastructure.