
Tech • IA • Crypto
OpenAI has launched ChatGPT Work, a cross-platform AI workspace powered by GPT‑5.6, positioning it as a direct competitor to Claude Co-work with similar automation, integrations, and agent-like capabilities.
OpenAI introduced ChatGPT Work as a new workspace mode within ChatGPT designed for task execution, automation, and project-based workflows. It is accessible across web, desktop, and mobile apps, offering a unified environment where users can manage tasks, interact with files, and run AI-driven processes.
The system runs on GPT‑5.6, OpenAI’s latest model, with multiple tiers including faster and more capable variants. This enables users to balance performance and computational depth depending on the complexity of their tasks, from quick queries to advanced multi-step workflows.
ChatGPT Work synchronizes activity across devices, allowing users to start tasks on desktop and continue on mobile seamlessly. This includes shared access to generated outputs, uploaded files, and ongoing workflows, reflecting a growing emphasis on persistent AI workspaces.
The interface introduces structured “projects” where users can organize tasks, files, and outputs. Within each project, users can interact with connected apps, manage resources, and execute AI-driven actions, making it closer to a productivity hub than a simple chat interface.
Users can connect external services such as Gmail, Google Calendar, and Slack via plugins. Additional integrations can be expanded using middleware tools that connect thousands of third-party apps, significantly broadening automation possibilities beyond native support.
ChatGPT Work introduces “sites,” interactive outputs similar to Claude’s artifacts. These can include generated dashboards, HTML pages, or structured reports. For example, a morning briefing can aggregate calendar events, emails, weather, and priorities into a single interactive page.
The platform supports reusable “skills,” which are structured instruction sets that automate specific tasks. These can be imported as files and reused across workflows, enabling users to build libraries of repeatable processes such as content generation or data analysis.
Skills developed in competing platforms can be migrated easily, as they rely on standardized instruction formats. This lowers switching costs and allows users to replicate workflows without rebuilding systems from scratch.
ChatGPT Work supports scheduled automations, including recurring reports, monitoring systems, and content workflows. Combined with skills and integrations, this positions the platform as an entry point into agent-style automation without requiring programming knowledge.
The feature set closely mirrors Claude Co-work, including skills, live outputs, and task scheduling. Both platforms allow users to operate within local files and connected apps, effectively acting as AI-powered operating layers for daily work.
ChatGPT Work extends capabilities similar to OpenAI’s developer-focused agent tools into a consumer-friendly interface. This lowers the barrier for non-technical users to build automated workflows previously limited to coding environments.
Unlike some competitors that rely on external tools, ChatGPT Work integrates native image generation, enabling visual outputs directly within workflows without additional setup or connectors.
Despite strong feature parity, the emergence of ChatGPT Work does not render competing tools obsolete. Both ecosystems operate similarly enough that users can choose based on model preference, interface design, or existing workflow investments.
ChatGPT Work marks OpenAI’s push into AI-powered productivity platforms, matching and in some areas exceeding existing solutions while lowering the barrier to automation for everyday users.