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I've actually run into this problem while building WorkZo AI

Between coding agents, UI work, debugging, testing interviews, and marketing tasks, it's surprisingly easy to lose track of what an agent is doing. Most of the time I just keep the terminal visible and check periodically, but that doesn't scale well once you have multiple agents running.

The biggest productivity killer for me isn't failures, it's when an agent finished 20 minutes ago or is waiting for approval and I don't notice.

I think there's a real gap here. We have increasingly capable agents, but not great visibility into their status, progress, blockers, and approval requests across tools. A unified notification layer would save a lot of context switching.

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WorkZo AI
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    The strongest part of WorkZo is probably not “AI interview prep.”

    That category already sounds crowded.

    The sharper angle is practicing the part candidates cannot rehearse with normal tools: pressure, interruptions, vague-answer pushback, and unexpected follow-ups.

    That makes the product feel less like a question generator and more like a recruiter-pressure simulator.

    I’d be careful not to bury that under too many feature points. If the page leads with CV analysis, voice simulation, feedback, and personalization all at once, people may understand the features but miss the core reason to try it.

    Happy to put the tighter positioning angle in writing if useful. I think there’s a cleaner way to make WorkZo feel different from normal interview prep tools.