- OpenAI Dots examples show always-on agents working inside ChatGPT between conversations
- Each Dot runs on GPT-six Astra with its own separate cloud computer
- Official examples cover creators, finance leads, and developers
- Access is rolling out gradually with plan, region, and admin requirements
- Dots can make mistakes, so important work still needs your review
What OpenAI Dots Examples Reveal
OpenAI Dots examples from DevDay demonstrate a new category of AI assistant: an always-on agent that keeps making progress after you log off. A Dot lives inside ChatGPT, powered by GPT-six Astra, with its own cloud computer that stays separate from your laptop unless you choose to connect it. You give it a goal, connect the tools it needs, and define what "good" looks like — then work comes back to you for review.
Video Highlights:
- A Dot is an always-on agent inside ChatGPT that works between conversations
- Creators: interview transcripts become clip candidates, show notes, and social drafts
- Finance: investor decks stay current as product and revenue data change
- Developers: customer feedback is scoped into smaller improvements with proposed fixes
- Access rolls out gradually, with reach through ChatGPT, Slack, or Teams
The core idea behind every OpenAI Dots example is ongoing responsibility rather than one-shot prompting. Instead of asking for a single answer, you hand a Dot a recurring job — and it keeps chipping away at it in the background.
The promise is follow-through across your working day. Most people already keep a mental list of things they would improve if they had help — the useful version of Dots makes that list smaller without adding another list for you to manage.
Official OpenAI Dots Examples by Role
OpenAI's showcased examples map to three professional roles. Each illustrates how an always-on agent handles the repetitive follow-up work that usually eats an evening.
Content Creators
- Turns interview transcripts into clip candidates
- Drafts show notes and social posts
- Returns everything for approval before publishing
Finance Leads
- Keeps investor decks current
- Tracks changing product and revenue data
- Organizes changes for review meetings
Developers
- Uses customer feedback to scope work
- Builds and tests smaller improvements
- Engineers still review every proposed fix
| Role | Input | Dot Output | Human Role |
|---|---|---|---|
| Creator | Interview transcript | Clip candidates, show notes, social drafts | Approve and refine |
| Finance Lead | Product/revenue data changes | Updated investor deck with organized changes | Review before meetings |
| Developer | Customer feedback | Scoped, built, and tested small fixes | Engineer review of all work |
Every example follows the same loop: hand off a goal, let the Dot work in the background, and bring results back for your judgment. The exciting part is getting your creative energy back for the decisions that make the work yours.
How Permissions Work in Practice
Always-on does not mean unlimited permission. Understanding the permission model is essential before you trust a Dot with real work.
| Access Type | What It Means | Approval Needed |
|---|---|---|
| Unprompted background research | Read-only | No |
| Assigned work | Broader actions within its permissions | Depends on rules |
| Sensitive actions | Varies by configuration | Yes |
| Cloud computer access | Separate from your laptop unless connected | You choose |
Dots can still make mistakes. Important work still needs your judgment — the useful version of this system keeps you involved rather than replacing your oversight. You control access, rules, and which actions require explicit approval.
You can reach your Dot through ChatGPT, Slack, or Teams, with connected apps helping it work across your tools. That multi-channel access is what makes background follow-through practical across a full working day.
Setting Up Your First Dot: Step-by-Step
Based on OpenAI's getting-started guidance and the DevDay demonstration, here is how to put your first Dot to work.
Check Your Access
Access is rolling out gradually with plan, region, and administrator requirements. Confirm your account qualifies before planning workflows.
Define a Goal
Give your Dot a concrete, ongoing responsibility — not a one-off question. Example: keep the investor deck current as data changes.
Connect Tools
Link the apps the Dot needs through ChatGPT, Slack, or Teams integrations so it can work across your stack.
Set Rules and Approvals
Choose access levels and which actions require your approval. Keep unprompted research read-only at first.
Review the Output
Treat the Dot's work as a strong starting point. Review, adjust, and iterate on the brief to test how well it adapts.
Start small: ask your Dot to find three strong interview moments and draft follow-up posts, then change the brief halfway through. How well it adapts — and how much review its output needs — tells you whether it earns a place in your workflow.
Realistic Expectations Checklist
Before handing off meaningful work, run through this readiness checklist.
Before You Assign Your First Job:
- Confirm Dots access has reached your account
- Define one small, recurring goal with clear success criteria
- Connect only the tools the Dot actually needs
- Configure approval rules for sensitive actions
- Schedule a review pass before trusting any output
| Evaluation Question | What to Look For |
|---|---|
| Does it adapt to brief changes? | Mid-task adjustments handled without losing details |
| How much fixing does output need? | Minimal edits from a strong starting point |
| Does it reduce your list? | Follow-ups shrink without new management overhead |
| Are permissions respected? | Read-only research stays read-only |
FAQ
Q: What are the official OpenAI Dots examples?
OpenAI demonstrated three at DevDay: creators turning interview transcripts into clip candidates, show notes, and social drafts; finance leads keeping investor decks current as data changes; and developers using customer feedback to scope, build, and test smaller improvements.
Q: Do OpenAI Dots work when I log off?
Yes. Each Dot is an always-on agent inside ChatGPT with its own cloud computer, so it keeps making progress between your conversations. Its cloud computer is separate from your laptop unless you choose to connect it.
Q: Can a Dot take actions without my approval?
Only within limits you set. Unprompted background research is read-only, while assigned work can go further within its permissions. Some actions always require approval, and you control the access rules.
Q: Is OpenAI Dots available to everyone yet?
No. Access is rolling out gradually with plan, region, and administrator requirements, so it may take time to reach your account. OpenAI's getting-started guide is the best source for current availability.