Sai

Sai is a robosecretary built by Simular AI: an AI agent that commands an autonomous computer fleet and puts it to work on your behalf. According to Simular, Sai gets real work done across apps, websites, and desktop tools. Instead of asking you to sit in front of a screen and repeat the same steps, Sai runs a fleet of autonomous computers that take routine work off your plate. The pitch is deliberately plain — Sai introduces itself as your robosecretary, invites you to sign in, and asks you to start delegating. The product is aimed at anyone whose day is filled with screen work that must be done but does not need to be done by them. The problem Sai addresses is the sheer volume of routine screen work that software leaves behind. Most automation depends on an application exposing an API — a defined programmatic interface that a script or integration can call. A great deal of the software people rely on every day does not offer one. Legacy desktop applications, internal portals, and anything sitting behind a login are commonly off limits to conventional automation tools, not because the work is difficult but because there is no clean programmatic door to walk through. The result is that the most repetitive, least rewarding work stays manual, and people spend hours reading screens, clicking buttons, and typing into forms that never change. What makes Sai distinctive is the way its computers do the work. Each computer in the fleet navigates software the way you do: it reads the screen, clicks the button, and types in the form. That is the core mechanic, and it is stated in the product description in exactly those terms. Rather than operating behind the scenes at a code level, Sai operates at the interface level, through the same visible surface a person uses. The practical consequence is that anything a person can do on a screen, Sai's computers approach the same way — by looking at what is there and acting on it. The description emphasises that Sai is trained to interact with the computer interface, which is what allows the fleet to move through software the way a person does. Because Sai works through the computer interface, it can automate software even when that software has no API. This is stated as a defining capability: Sai automates software even when they lack APIs. It is a meaningful expansion of what can be delegated. The tools that lack APIs are usually the ones buried deepest in day-to-day operations — the ones nobody is going to rebuild — and they are precisely the ones Sai is designed to handle. Rather than requiring an integration to be built, or an application to expose endpoints, Sai simply uses the software the way a person would, reading the screen, clicking the button, and typing in the form. That removes the API requirement as a precondition for automation. Simular names the categories of software Sai is built to take on: legacy desktop apps, internal portals, and anything behind a login. Those three categories are where routine screen work most often accumulates and where automation most often fails to reach. Sai is described as handling them by interacting with the computer interface rather than by integrating with the application. Sai also supports Windows, macOS, and Linux, so the fleet is not restricted to a single operating system, and the product reports a score of 73% on OSWorld, a benchmark for computer-use tasks. That figure is a concrete, stated measure of how capable Sai's autonomous computers are at working through real software. The overall workflow is simple by design. You sign in to Sai and start delegating. From there, an AI agent commands the autonomous computer fleet, and the individual computers carry out the work on apps, websites, and desktop tools. Each computer reads the screen, clicks the button, and types in the form — the same sequence a person would perform, executed without a person at the keyboard. Because the interaction happens at the interface level, the same fundamental approach applies across very different kinds of software, from a modern web app to a legacy desktop program to an internal portal that only exists inside a company. Sai's stated approach is therefore not to build a separate integration for each tool, but to use the computer the way a human does. The benefit Sai puts forward is time and attention returned. Sai runs a computer fleet to take routine work off your plate, so the endless screen work no longer has to be done by you. Because the fleet is autonomous, those tasks keep moving without someone driving every click. Because Sai can operate where APIs do not exist, the benefit reaches into the parts of a workflow that previously had no automation at all — the legacy desktop app, the internal portal, the system behind a login. And because the same interface-level approach carries across apps, websites, and desktop tools, delegation is not restricted to a narrow slice of the work. Concrete scenarios follow from the stated capabilities. Anything behind a login is a candidate: work that lives inside an authenticated system, where you have to sign in and then repeat the same steps. Internal portals are another: the company systems that exist only on the inside and rarely expose an API. Legacy desktop apps are a third: software that predates modern integration patterns and would never be rebuilt for automation's sake. Software that has no API at all is the fourth, and it is the broadest — Sai automates it by reading the screen, clicking the button, and typing in the form. Routine, endless screen work is the fifth: the repeated reading, clicking, and typing that fills a day. And the sixth is the general case the product describes, getting real work done across apps, websites, and desktop tools. In each case, the workflow is the same: you delegate, and Sai's fleet works through the software as a person would. Sai is presented for people who have routine work on a computer that they would rather hand off. The framing — "your first robosecretary", "take routine work off your plate", "start delegating" — speaks to anyone with a backlog of repetitive screen tasks and no good way to automate them, especially where the software involved is legacy, internal, or locked behind a login. On platforms, Sai supports Windows, macOS, and Linux, and the product itself is accessed by signing in on the web at sai.simular.ai, with Google sign-in offered. The agreement is covered by Simular's terms of service and privacy policy. No pricing or plan details are stated in the material reviewed here, so cost information cannot be confirmed from the content. Sai's value proposition rests on three stated things: an autonomous fleet of computers rather than a single script, a method that mirrors how a person uses a computer — read the screen, click the button, type in the form — and the ability to automate software even when it has no API. Together those make the robosecretary idea practical for the software that actually sits in front of people every day: legacy desktop apps, internal portals, and anything behind a login. You sign in, you delegate, and the fleet does the routine screen work.