Provide AI companion companies with managed pre-release and post-release testing using scripted multi-turn conversations, persona-consistency checks, memory-retention scenarios, latency measurements, and a physical device matrix. Human testers would reproduce failures, document evidence, rank revenue and retention risks, and verify fixes. The service could later productize its reusable conversation suites, scoring methods, and continuous regression runner.

AI chat products are adding translation, video, memory, moderation, subscriptions, and advertising while changing underlying models frequently. Each additional layer creates release risks that ordinary crash testing cannot detect.