Real time conversational video is a genuinely difficult engineering problem. You are running speech recognition, a language model and video generation in a loop tight enough that a human does not notice the delay, and the fact that this works at all is worth appreciating. Tavus documents the pipeline honestly, including where the latency comes from and which parts you can influence, and that transparency makes it possible to plan a product around realistic behaviour rather than around a demo. The replica training material is specific in a useful way.
It tells you what a good recording session looks like, meaning lighting, framing, duration and the kind of speech that produces a usable model, and it is clear that a careless recording produces a poor replica. That specificity saves people from blaming the model for a problem they created in a badly lit room. The integration examples are realistic. Interviewing candidates, onboarding, sales conversations and interactive training are the applications people are actually building, and the material addresses them rather than showing a novelty.
It is also reasonably candid that conversational quality depends heavily on the language model and the prompt behind the replica, which are largely your problem rather than theirs. That said, given how much of the user experience rides on that layer, the guidance on it is thinner than it should be. A visually perfect replica having a stupid conversation is still a bad product. Consent is the part that needs more than it gets.
A digital replica is a persistent artefact that can say anything, indefinitely, after the recording session ends. Treating the permission for that as a signature on a form is inadequate to what is being created. The questions a serious builder faces include whether a person can revoke their replica later, what happens to it when they leave the company, who authorises what it says, and how you prevent it from being used in a context the person would object to. The documentation does not raise these, and any organisation deploying this should write its own policy before it records anyone.
Disclosure is the other omission. Someone having a conversation with a synthetic presenter is entitled to know that, and there is nothing here on how to make that clear, when it is legally required or how to do it without undermining the experience. Regulation in this area is moving and the material is not ahead of it. Cost is the practical constraint that kills many use cases.
Per minute pricing for real time conversation adds up quickly at any volume, and a lot of the applications that sound compelling stop making sense once you multiply by realistic usage. Do that arithmetic early, because it is the thing most likely to end the project. Three point four. Impressive technology documented with real engineering honesty, undermined by treating persistent digital likeness as a paperwork problem and by leaving the economics for you to discover after you have built something.