Introducing dots
Source: OpenAI · 2026-09-29
Dots are remarkably capable, always-on agents built to handle everything. They’re a whole new way to work with AI—one that gets to know what matters to you, is always working on your behalf, and takes important work off your plate so you get more of your time and attention back.
Dots are frontier intelligence that have your back. Powered by GPT‑6 Astra, they have their own cloud computer, learn from feedback over time, and can work towards your goals 24/7. Through our ecosystem of plugins, they can readily connect to over 4,000 apps, giving them the tools to help wherever you need them.
Your dot is always within reach, whether it is through ChatGPT, Slack, or Teams. You can ask questions, explore ideas, and give feedback along the way; or you can simply hop on a voice call when you need to talk something out. The more you work together, the more your dot learns your preferences, how you think, and what good looks like to you.
Today, you can start with your primary dot, give it a name, and make it your own. Over time, we envision teams of dots working together on your behalf. We’re beginning to roll out dots across Pro, Business Premium, and Enterprise plans in eligible markets. We plan to expand dots to more users soon. We’re also sharing a preview of specialist dots with their own identity for access management, IT-provisioned hardware, and support for deep integrations with a company’s systems of record to allow them to take on well-defined responsibilities inside organizations.
Dots can do nearly anything using their own cloud computer, their own browser, and the apps you’ve connected.
When you aren’t actively working with it, your dot looks for ways to help in the background. We call this “proactive research”. It does this by using the apps you’ve already connected with tools that are restricted to be read-only, which means that they can’t send messages, change app content, or control your browser or computer.
Dots start with built-in rules for when to act independently and when to ask for approval. Custom Rules let you allow specific actions, require approval, or block them. Built-in safety requirements always apply and you can follow progress, including background work, in Activity View and redirect dots as needed.
Dots use auto-review to check actions that could affect your accounts or share information against your instructions, Custom Rules, and safety requirements. This helps determine what work can proceed, what needs approval, and what you must do yourself. Certain sensitive tasks, such as changing a password, always stay with you.
Your dot works on your behalf; specialist dots take on dedicated responsibilities within your organization. Your company sets up each dot with its own identity, credentials, and access to the systems it needs to complete its tasks. As it works, the dot adapts to new information and improves with feedback from your team. We’re building on lessons from early testing inside OpenAI across procurement, invoice processing, email marketing, customer support, and commercial contracting.
Lines of inquiry this paper opens 3
Research framings built by reading the notes related to this paper — the questions it feeds into.
Does expanding agent autonomy undermine human oversight capacity? How should conversational agents balance proactive goal-pursuit with user autonomy? Why does separating planning from execution enhance reasoning performance?