- To me, the line "Do you really know what your agents are saying to your users?" doesn't match at all with the screenshot directly above, which is the first screenshot on the page. On first glance, all that screenshot conveys to me is "some analytics app". Perhaps the first graphic could better express what about agents' activities, is being made easier to inspect.

- I click "How it Works" and I just get vaguely described screenshots. Only from reading the Python import line in the fourth screenshot, I get that it acts as a middleware by sitting in for the OpenAI import. Maybe this nav should link to the section above, with the 3 integration steps?

- Scrolling down and seeing Intents vs Corrections vs Resolutions, I'm actually getting a sense of what Voker does. To me, that still doesn't fully align with "Do you really know what your agents are saying to your users?"

- I'm mildly amused by the fact that whiteboard desk guy is copying roadmap suggestions from ChatGPT.

I don't mean to be that typical HN commenter but you did lose me a bit there.

I know a lot of people are just getting started with agents but even for a lot of scrappy startups usage is a lot higher than that!

If I may suggest focusing on explaining how you can add value even when usage is super low to controlling costs even when usage can get super high?

I can validate you that it is a true problem that's solved by large companies but you have to hand-roll yourself @ startups (via airflow or queues, etc). But unfortunately one where I am not sure that a lot of stakeholders understand the benefits of (yet!). I think value has to be shown a bit more clearly here, sadly.

Congrats on the launch!