The OS-level context layer

The promise of a digital assistant that actually understands what is happening on a screen remains largely unfulfilled by the current crop of browser-based tools. Most AI applications today are trapped within specific tabs or require manual copy-pasting to function. Logical is an attempt to break these silos by operating at the operating system level. It is a macOS application that observes the active window and screen context to provide proactive assistance, effectively turning the entire desktop into a single, unified workspace for its AI.

Currently in beta for macOS 14.0 and later, the software is available for both Apple Silicon and Intel-based machines. It functions as an ambient layer that identifies what the user is looking at and suggests the most relevant next steps. This approach places Logical in a specific category of productivity tools that include Limitless and the controversial Microsoft Recall feature. However, Logical is built around task completion rather than just record-keeping.

Privacy as a technical constraint

In an era of increasing skepticism toward "always-on" digital assistants, the company has made local-first architecture its primary engineering constraint. This is a deliberate response to the privacy risks associated with tools that capture screen data. On Logical, raw data—including screenshots, text, and clipboard history—resides exclusively on the user's physical hardware. While the system utilizes cloud-based large language models to process specific requests, it sends only encrypted queries and does not store user data on company servers.

To further give users control, the application includes granular privacy features. Users can set custom filters to exclude specific applications or websites from monitoring, which is critical for handling sensitive data like banking information or password managers. An "Instant Hiding" feature also allows for one-click suspension of monitoring whenever privacy is required.

Workflow automation without the friction

The software focuses on three core areas: task management, meeting intelligence, and content refinement. For task management, Logical identifies actionable items within emails and chat threads as they appear on the screen. Because it reads the visual interface, it requires no formal API integrations with services like Slack or Microsoft Teams. For meetings, it generates summaries and action items without the need for a transcription bot to join the call, avoiding the social friction and technical setup usually required for meeting records.

Strategic backing from Y Combinator and the NVIDIA Inception program suggests that Logical is viewed as a serious contender in the race to build the "OS for AI." While a Windows version is currently in development, the current focus is on a high-end macOS user base that demands a high degree of privacy. By making the screen the primary source of data, Logical inherits the context of every application the user runs, positioning itself as the most integrated way to interact with an LLM during the workday.