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Complete OpenAI Dots Guide

Dots, explained

  • 13 bite-sized sections
  • 4 min read
  • Free, no signup

Short answer

The complete field guide to OpenAI Dots: persistent AI agents inside ChatGPT designed to own ongoing work, stay in context, and return when your judgment matters.

Updated

Built with love by Shushant Lakhyani. Building bestproductivityresources.com

Inside this guide

Short cards you can read in order or jump straight to. Tap the link icon on any card to share just that part.

01

Shift from answers to ongoing work

A standard chatbot replies when you message it. A Dot can own work over time. It can keep going between conversations, monitor connected information, run recurring tasks, and bring back results or decisions.

Persistent
keeps working
Connected
uses approved apps
Visible
activity you can inspect
Bounded
asks when needed
02

See how Dots differ by design

Dots can manage ongoing tasks, remember relevant context, use connected apps, and report their progress, rather than only answering the prompt in front of them.

03

Know the model: GPT-6 Astra

Astra provides the planning and agentic reasoning inside a Dot. It interprets goals, uses tools, adapts to new information, and knows when to ask.

04

Use its own cloud computer

Each Dot gets a cloud computer, a browser, and supported tools. It can keep working while your own computer is switched off.

05

Connect apps: 4,000+

Subject to availability and permissions, a Dot can work across tools like Drive, Calendar, GitHub, Slack, Teams, Codex, Docs, Sheets, and Slides.

06

Let it research proactively

Dots can scan connected information for useful work. Background research runs with read-only access, so it cannot send, edit, or take control.

07

Schedule recurring tasks

Assign recurring responsibilities, such as morning calendar briefs, ongoing research, reminders, and project monitoring, and manage them from the Dot profile.

08

Build memory that compounds

Your Dot can draw on ChatGPT memory and its own saved context to learn your preferences, workflows, goals, standards, and past feedback.

09

Reach it across channels

Where supported, you can pick up the same thread across ChatGPT desktop, web, mobile, Slack, Teams, and voice, without starting from scratch.

10

Understand the shift

ChatGPT helps with one conversation. A Dot can own an entire responsibility.

Regular ChatGPT

  • Replies to the current conversation
  • Usually waits for your next instruction
  • Mostly works inside the interaction

Your Dot

  • Keeps working between conversations
  • Runs recurring work and watches context
  • Uses approved tools, apps, and a cloud computer
  • Escalates decisions that need human judgment
11

Find where Dots can help

Continuity ties it all together. A Dot can own a defined slice of your workflow instead of handling one isolated request after another.

Content creation

Review transcripts, pick clips, prepare show notes and social drafts, learn a voice, track work, and stage material for approval.

Software development

Monitor feedback, investigate bugs, scope improvements, build fixes, run tests, prepare pull requests, and coordinate work in Codex.

Marketing

Learn your positioning, research competitors, draft campaigns, update launch materials, repurpose content, and raise decisions.

Research

Track open questions, review new information, analyze data, dig into unexpected results, and update analyses, figures, and documents.

Sales

Review account history, customer and technical requirements, proposals, test plans, and open concerns, while every commitment still gets approved.

Specialist work

Organizations can set up focused Dots for defined duties such as procurement, invoice processing, email marketing, support, and contracting.

12

Keep a hand on the steering wheel

You control what a Dot can reach, how independently it works, what needs approval, and when work should stop. Dots can make mistakes, so review consequential output and actions.

  • Custom Rules. Set which actions run automatically, only when pre-approved, after asking, or only by you.
  • Auto-review. Actions that could matter are checked against your instructions, permissions, Custom Rules, and safety requirements.
  • Watch and redirect. Inspect In Progress, Scheduled, and Completed work, then open the cloud computer and change course when needed.
  • Pause or reset. Pause background work at any time. A reset deletes the Dot along with its conversations, memories, and scheduled tasks.
  • Personal computer stays separate. Local access is off by default, needs an explicit desktop-app connection and permission, and can be revoked later.
  • Privacy and access. You choose which applications a Dot can use. Disconnecting an app does not necessarily delete information already obtained from it.
13

Start with a practical job

Hand it a job, not a vague prompt.

Spell out the outcome, the information available, the actions it may take alone, the approval boundaries, what to monitor, the cadence, what good looks like, and when to bring you in.

The big idea

AI that keeps the project moving. OpenAI Dots turn AI from something you prompt again and again into an always-available agent that works alongside you, with context, tools, permissions, memory, and clear guardrails.

  • Persistent
  • Connected
  • Visible
  • Bounded

Hand it a job, not a vague prompt, and review consequential output before it acts.

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Frequently asked questions

The quick answers, if you just need the gist.

What does “Complete OpenAI Dots Guide” cover?
It has 13 sections, starting with “Shift from answers to ongoing work”, “See how Dots differ by design”, “Know the model: GPT-6 Astra” and “Use its own cloud computer”, plus 9 more sections.
How long does it take to read?
About 4 minutes. Every section is a short, self-contained card, so you can jump straight to the part you need.
Is this guide free?
Yes. The full guide is free to read on this page, with no sign-up.
When was this guide last updated?
It was last updated in September 2026.

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