On September 29, 2026, OpenAI chief executive Sam Altman stepped onto the stage at the DevDay developer conference in San Francisco to unveil Dots, a new tier of artificial intelligence agents engineered to operate continuously as virtual colleagues. Designed to manage ongoing tasks rather than isolated prompts, the functionality marks a structural shift toward autonomous software capable of executing complex instructions across twenty-four-hour cycles.
Escaping the Limits of Discrete Prompts
Opening the annual event, Altman positioned the tool against existing market options. He noted that traditional AI helpers tasked with simple bookings will feel trivial compared to the capabilities of modern agent architectures. According to announcements detailed by Le Monde, the startup designed Dots to take on macro-level assignments requiring persistent supervision, step-by-step evaluation, and real-time adjustments as project parameters shift.
Unlike previous iterations where users initiate discrete sessions for coding or project management, these virtual assistants remain persistently active. OpenAI demonstrated how a dot might monitor user emails for service bug reports, autonomously draft software patches, test the code, and push updates live without direct human prompting at every single milestone.
Market Rivalry and Deployment Restrictions
The introduction places OpenAI alongside a growing wave of continuous digital assistants, drawing direct comparisons to Meta’s Muse and OpenClaw. While older frameworks like OpenAI’s Codex or Anthropic’s Claude excel at bounded software development tasks or scheduled recurring jobs, the defining characteristic of the new system is its uninterrupted availability.
Yet accessibility remains restricted during the initial deployment phase. OpenAI confirmed that the functionality rolls out exclusively to subscribers of the Business Premium tier within ChatGPT Pro. Availability is expressly deferred outside the United States, leaving European enterprise users waiting for a future regional deployment.
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