The reason diverse tech products from Linear to Notion are building similar AI agent capabilities is the emergence of a "general harness" architecture. This common pattern—a loop of context engineering, model calls, and tool usage—is a general-purpose framework for solving problems, leading to a convergence of product features across different domains.

AI labs like OpenAI and Anthropic are developing "super apps" that go beyond chat to take over your browser and computer for tasks like hiring or booking. This agentic model, where the AI acts on your behalf, could fundamentally shift power away from individual websites.

Major AI platforms are becoming "super agents" that connect to a user's software (e.g., email, YouTube) and use "skills" to perform complex, autonomous tasks. This convergence means the choice of platform is becoming a matter of user interface and integration preference rather than unique functionality.

Companies like OpenAI and Microsoft are building AI interfaces to handle all computing tasks, aiming to replace traditional applications with a single, personalized agent that functions like a laptop for both work and personal life.

Tools like OpenAI's Codex are integrating coding, document creation, browser control, and app-specific plugins into one platform. This signals a race among AI companies to become the central, unified "super app" where all knowledge work happens.

OpenAI is consolidating its fragmented products into a single desktop "super app." This is not innovation but a reaction to a confusing user experience and the success of rival Anthropic's Claude, which already offers a cohesive desktop application for coding and business tasks. The goal is to regain focus and compete more effectively.

The future of work is shifting from app-switching to managing tasks through a unified agent interface. Companies like OpenAI (Codex) and Anthropic (Claude Code) are racing to create this new "operating system," a desktop app that serves as the primary surface for all agent-driven knowledge work.

With top models reaching comparable performance, differentiation is moving to the "harness"—the user interface, tool integrations, and agentic workflows. OpenAI's ChatGPT Work, an extension of its Codecs interface to general knowledge work, shows that the system surrounding the model is now as crucial as the model itself for user adoption and value.

The planned Superapp combining coding, browsing, and chat is more than a UI consolidation. The deeper, more critical goal is to merge multiple backend systems into a single, unified 'AI harness' that manages context, actions, and interaction loops. This creates a powerful, efficient AI layer for various applications.