OpenAI announced Dots at DevDay on September 29, 2026: always-on agents powered by GPT-6 Astra, each with its own cloud computer and browser, able to work across connected tools and assign tasks to subagents. It is a big bet on the future. ThinkFlyFlow is a bet on the same future from a different direction, built for teams running operations rather than individuals running errands.
What Each One Is
OpenAI Dots
A Dot is an always-on agent that can take ongoing responsibility for a task and keep making progress between conversations. Each one runs on its own cloud computer with a browser, reaches users inside ChatGPT across web, mobile, and desktop, and can act across a large connector ecosystem. OpenAI positions Dots around ongoing work and productivity, with use cases tied to research, software, data, and workplace workflows, and it built a three-tier permission model for what an agent may do freely, what needs a check-in, and what it must never do.
ThinkFlyFlow
ThinkFlyFlow is our AI operations platform. It is the harness and the workspace around the model: workflow automation, projects, grounded knowledge, assistants, and run-level visibility, with approval gates on irreversible steps and multi-tenant separation by design.
Where They Overlap
- Both are agentic, not chat-only.
- Both persist a task over time instead of resetting each turn.
- Both take real actions through connected tools.
- Both, correctly, gate risky actions behind approval.
Where ThinkFlyFlow Fits Better
Operations, not just productivity
Dots is framed around an individual's ongoing work and research. ThinkFlyFlow is framed around the repeated processes a business runs, such as document intake, support, dispatch, and knowledge lookup, and around giving a whole team one place to run them.
Grounding in your business data
ThinkFlyFlow answers from your documents and systems through a retrieval layer you control. For an operations task, grounded accuracy beats raw model power every time.
Visible, auditable runs
Every ThinkFlyFlow run is traceable: what ran, what it cost, where it paused, and why. That is what makes an agent safe to hand a real process to. Read the harness advantage for how we build it.
Where Dots Fits Better
If you want a general personal or individual-work agent that persists across sessions, lives inside ChatGPT, and can span a very large connector ecosystem, Dots is genuinely compelling, and it carries the weight of OpenAI's research and model line. For individuals and developers who want a always-on agent for their own tasks, it is a strong product.
Dots is a general agent. ThinkFlyFlow is an operations system.A Note on Trust and Control
Both products arrived at the same conclusion: an agent that acts without supervision is also an agent that can make an expensive mistake without supervision. That is why OpenAI built its tiered permissions and why every ThinkFlyFlow workflow gates irreversible steps. The difference is where the control lives. With ThinkFlyFlow, the approval rules are shaped to your specific process, not a general default.
The Bottom Line
Dots and ThinkFlyFlow both show where the industry is heading, and both are worth your attention. If you want a personal, always-on agent, Dots is the mold for that. If you want to run and automate your team's operations with grounded data, traces, and approval gates, that is the problem ThinkFlyFlow solves.
Start with ThinkFlyFlow, or talk to us about your operations.