OpenAI releases Dots: always-on agents powered by GPT-6 Astra
A 10-step blueprint explaining how Dots turns ChatGPT into a persistent AI workforce that can plan, call tools and keep working across workflows.
holy sh*t, OpenAI just dropped Dots, its new always-on AI agents powered by GPT-6 Astra this is a 10-step blueprint on how Dots turn ChatGPT into a persistent AI workforce that can plan, act, coordinate tools and keep working across real workflows: step 1 → start with a Primary Dot: one persistent agent learns your goals, preferences, standards and the way you like work to be done step 2 → give every Dot its own cloud computer: it can browse, use apps, open files and keep working while you are away step 3 → connect the tools you already use: Dots can work across ChatGPT, Slack, Teams and thousands of connected apps step 4 → keep long-running context alive: projects, decisions, feedback and preferences carry forward instead of restarting with every conversation step 5 → let the Primary Dot coordinate the work: it turns a goal into tasks, decides what happens next and keeps the workflow moving step 6 → bring in specialist Dots: research, coding, design, analysis, support and other focused roles can handle specific parts of the job step 7 → make execution continuous: Dots can investigate, create, update files, use tools and progress multiple projects without constant prompting step 8 → use feedback as part of the system: your edits, approvals and corrections become signals that help the Dot adapt to how you work step 9 → keep consequential actions behind control gates: permissions, Custom Rules, Activity View and approvals determine what can run automatically and what comes back to you step 10 → move from chatbot workflows to agent workflows: goal → plan → specialist → tool action → review → feedback → next action most AI tools still revolve around individual prompts and isolated tasks Dots are built around persistent context, continuous execution and agents that can keep moving work forward across your actual tools the result: an AI system that can research, write, code, analyze, coordinate and operate in the background while you stay in control of the important decisions I mapped the full OpenAI Dots architecture, specialist roles and interaction loop into one visual blueprint below ↓
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