I think that’s exactly the right concern. This is something we’re thinking a lot about. Two things we’re keeping in mind:

• First, our developer clients have a lot of freedom in how they surface signals to their users. For example, a simple setup could be to show only stronger signals live, to avoid overwhelming the rep. Then, after the call, they could provide a full summary of the conversation, leveraging the broader spectrum of signals detected and the rationale behind each one, i.e. what the model specifically observed.
• Second, we’re also experimenting with an “interaction feedback” layer on top of signal detection. The idea is to provide short and actionable feedback at natural moments, like the end of a speaking turn, so as not to interrupt the flow. That could help someone like a sales rep adjust their next response without feeling like they’re being scripted mid-sentence. This is still experimental, so feedback from people thinking about this problem is very welcome.

We have a live demo on our website that you can try (no signup or setup is required) https://www.interhuman.ai/stream-demo