OpenAI Dots Description
OpenAI Dots are persistent AI agents powered by GPT-6 Astra that can independently make progress on projects while remaining under the user's direction. A dot functions as an extension of its user by learning how they work, monitoring what requires attention, and using its own cloud computer to carry out tasks between conversations. It can begin with context from ChatGPT memory and use Codex and connected tools to work with relevant applications, documents, data, and workflows. Users can give a dot responsibility for a large project or a smaller recurring workflow and allow it to proactively determine appropriate next steps. Dots can analyze new data, refresh reports and presentations, investigate unexpected results, prepare code and tests, monitor feedback, and draft supporting materials for review. They can also maintain continuity across related tasks, such as updating an investor presentation when new financial data arrives or tracking an API migration until remaining dependencies are resolved. Users can communicate with their dots through ChatGPT on web, mobile, and desktop to provide feedback, change direction, or review work in progress. Permissions and Custom Rules determine which applications a dot can access, which actions it can perform independently, and which activities require explicit approval. Potentially consequential actions are subject to additional review against the user's instructions, configured rules, and applicable safety requirements.
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OpenAI Dots User Reviews
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Awesome AI agent platform Date: Sep 29 2026
Summary: Overall, Dots feels like one of the clearest steps toward AI agents becoming actual digital coworkers. It is most useful when I have work that needs persistence, tools, and follow-through rather than another one-off answer. Feels like OpenAI's answer to Grok Bot and OpenClaw/Hermes Agent.
Positive: What I like most is that it feels less like “using AI” and more like delegating work. I can give a Dot an ongoing objective, let it work across apps and the web, and have it come back when it needs input instead of babysitting every step. The always-on part is the biggest difference. Recurring research, follow-ups, monitoring, admin work, and multi-step workflows make a lot more sense when the agent can keep working after I leave the chat. I also like that each Dot gets its own cloud computer and browser. That gives it a much more complete working environment than a normal chatbot, especially when a task involves websites, files, tools, and multiple systems.
Negative: The downside is that something this capable needs careful permissions. I would be conservative about local computer access, sensitive accounts, external messages, and anything destructive until I was comfortable with the rules and approval flow.
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