Meet HoloTab by HCompany: A Smart AI Browser Companion

Why Read This from an HCI Perspective

This article is meaningful for HCI practitioners and researchers because it frames AI not as a ‘smart feature,’ but as an interface that works alongside users inside the browser. The structure—where users record an action once, turn it into a routine, and then run it again—raises an important question as automation becomes easier: at which moments do users need to intervene and verify outcomes? Especially for tools that replace repetitive work, key UX challenges become transparency, failure recovery, and building trust.

CIT's Commentary

What’s particularly interesting about HoloTab isn’t the model’s raw performance, but ‘how it’s been made usable.’ The way it turns demonstrated actions into routines means the system gradually learns the user’s intent. That design is convenient, but it can also blur responsibility boundaries when things go wrong. Therefore, rather than simply showing results, the interface should clearly communicate what the system is doing right now, how far the automation goes, where it stops, and how users can roll back if it fails. At the same time, this kind of product also creates strong research questions. For example, you can measure when users trust the automation versus when they take over again, how much the recorded routines are actually reused in real work, and whether novice and expert users interpret the same functionality differently—insights that can directly inform the design of LLM-based UX tools.

Questions to Consider While Reading

• Q.At what point would users trust the routines created by HoloTab, and at what point would they want to step in again themselves?
• Q.When a routine fails, how should the interface be designed so users can understand the cause and recover quickly?
• Q.To make record-and-replay automation repeatedly useful in real work contexts, what information should be shown more transparently on the screen?