Hark Pro bets a privacy-first AI assistant can run your computer

Hark has released Hark Pro, an AI personal assistant built to operate a user’s computer and complete digital tasks. Its pitch combines a full-screen interface, task-focused personalization, visible agent activity, and a privacy stance meant to distinguish it from larger AI competitors.

Hark Pro bets a privacy-first AI assistant can run your computer

Hark is entering the AI personal assistant race with Hark Pro, a product designed less like a chatbot and more like a control layer for everyday computer tasks. The startup, founded less than a year ago by serial founder Brett Adcock, is making the service broadly available with free access and a subscription tier for heavy users.

The company’s claim is deliberately practical: Hark says it is building a user interface for AI. Instead of presenting itself as a path to AGI or a grand scientific breakthrough, Hark Pro is focused on using your computer on your behalf.

A computer-use assistant, not just another chat box

Hark Pro is built around a model trained specifically for computer use. That matters because the product is meant to do more than answer questions. It is intended to move through digital workflows, use websites, and carry out tasks that normally require a person to click, type, check, approve, and decide.

The interface is full-screen. It includes a homepage-like surface with a central chat dialog, plus a feed that suggests possible actions. The product also includes visualizations the company calls panels, which function as mini-dashboards for subjects a user cares about.

Another part of the experience is contextual: the background uses custom imagery shaped by the user’s local weather and time. That detail reinforces Hark’s larger ambition. The company is not positioning Hark Pro as a small app sitting inside an existing workflow, but as the beginning of an operating system for future AI computers.

What Hark Pro can see and act on

Like other AI assistants, Hark Pro depends on configuration. Users connect it to parts of their digital life, including email, calendar, hard drive, credit cards, and other services. Once that access is in place, the assistant can answer classic chatbot-style questions and also take on digital tasks.

In a demo, Abidur Chowdhury, a former Apple staffer who leads design at Hark, showed the assistant prompting him about several practical items. It surfaced expenses that needed approval, emails that needed responses, a meeting with a reporter, and a flight that needed to be booked for a trip.

That demo also points to one of the central challenges for AI personal assistant products: users may not always know what to ask them to do. Hark is trying to address that by making the assistant proactive, showing possible actions instead of waiting only for a typed command.

Chowdhury also described a case where the AI assistant recognized that one of his colleagues needed to renew their car registration at the California DMV and handled the task through the agency’s website. Within the facts Hark is presenting, that example shows the intended direction: not just reminders, but completion of administrative work across the web.

Why visibility is part of the privacy pitch

One notable design choice is that Hark shows how its agent navigates the web inside a small window. Many AI assistants handle that kind of action without surfacing the process in the main app. Hark’s design team says the visible window is meant to help users trust that the agent is doing the right thing.

Trust is not a cosmetic issue for this category. An AI personal assistant becomes more useful as it gains more access. Email, calendar, files, payment information, and other connected services can make the product more capable, but they also raise cybersecurity and privacy concerns.

Hark is leaning into that tension as part of its positioning. Chowdhury argues that the company is different from Meta or OpenAI and says Hark is not trying to sell ads or steal user data. Asked about profiling, he describes Hark’s work as task-related: the assistant tries to understand enough to remove something from the user’s plate and be useful.

That distinction is important to Hark’s market argument. The company is not saying an assistant should know everything for its own sake. It is saying the assistant should understand what it needs in order to complete user-directed work.

The competitive claim: better end-to-end results

Hark Pro enters a market where several tech firms are searching for the user experience that will make an AI personal assistant feel essential. The source article names Muse, Instinct, and Dots as part of that broader push.

Chowdhury says Hark Pro stands apart because it tries to substitute more fully for the computer itself. He also argues that Hark’s assistant produces better results, even if it may not always be faster than Muse.

The key claim is completion. Hark wants the assistant to work through a task end-to-end instead of stopping midway and asking the user to take over. If users judge these tools by how much work they actually remove, that distinction could matter more than whether the product feels novel in a demo.

There is still an open technical question. Hark’s model is explicitly trained for computer use, which can make it faster and cheaper at those tasks. What remains unclear is how much broader knowledge and capability it may be trading away compared with a frontier LLM.

Software now, an AI-native device later

Hark Pro is only part of the company’s stated plan. Chowdhury made his name designing devices at Apple, and Hark says it plans to release an AI-native device to support its software in 2027.

The company is not yet saying what form that device will take. Chowdhury has pointed to the creep factor of wearable cameras, while also saying the first product Hark is building has never existed before.

For now, Hark’s immediate test is simpler: whether users will let an AI assistant into enough of their digital life to make it useful. Hark Pro’s bet is that a computer-use model, a visible agent, proactive task suggestions, and a privacy-focused pitch can make that leap feel worthwhile.