---
type: "post"
id: "dots-always-on-agents-built-to-handle-everything-b2bd44"
slug: "dots-always-on-agents-built-to-handle-everything-b2bd44"
title: "Dots: Always-on agents built to handle everything"
description: "OpenAI’s Dots page describes an agent product built around persistent delegated work rather than a single request-and-response exchange."
retrieval_nugget: "OpenAI’s Dots page describes an agent product built around persistent delegated work rather than a single request-and-response exchange."
published_at: "2026-09-30"
updated_at: "2026-09-30"
record_date: "2026-09-30"
date_kind: "published_at"
topics: []
source_urls: ["https://chatgpt.com/features/dots/"]
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analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Dots makes a persistent, permissioned agent the unit of work inside ChatGPT.","observed_facts":[{"text":"The page says a dot starts with context from ChatGPT memory and uses Codex and connected tools.","source_urls":["https://chatgpt.com/features/dots/"]},{"text":"It says dots can continue making progress between conversations and bring work back for review.","source_urls":["https://chatgpt.com/features/dots/"]},{"text":"The page says dots run on their own cloud computers and users manage app permissions and Custom Rules.","source_urls":["https://chatgpt.com/features/dots/"]}],"mechanism":"The agent is assigned a responsibility, operates on its own cloud computer, and works through user-selected apps and permissions; Custom Rules can allow, require approval for, or block specific actions.","why_now":"OpenAI is presenting dots as a product that extends ChatGPT from conversation into ongoing task execution.","implications":["Dots shifts the user’s role from issuing each instruction to supervising an agent that acts between conversations.","The described permission and review model makes visibility into approvals and stalled actions an important operational question."],"evidence_boundary":"The supplied public source is OpenAI’s product page, so capabilities and safeguards here are company descriptions, not independent test results; it does not establish regional availability, pricing, or usage limits.","watch_conditions":["Verify how permission requests, stalled tasks, and approval-dependent actions are surfaced during real use."],"related_records":[],"new_branch_reason":"A separate analytical record is appropriate because no prior New Runtime record was supplied, and this page documents a specific product and operating model."}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# Dots: Always-on agents built to handle everything

## Retrieval answer

OpenAI’s Dots page describes an agent product built around persistent delegated work rather than a single request-and-response exchange.

OpenAI’s Dots page describes an agent product built around persistent delegated work rather than a single request-and-response exchange. Thesis: Dots makes a persistent, permissioned agent the unit of work inside ChatGPT. The page says a dot starts with context from ChatGPT memory and uses Codex and connected tools. It also says dots can continue making progress between conversations and bring work back for review.

Mechanism: The agent is assigned a responsibility, operates on its own cloud computer, and works through user-selected apps and permissions; Custom Rules can allow, require approval for, or block specific actions. Why now: OpenAI is presenting dots as a product that extends ChatGPT from conversation into ongoing task execution. The page says actions that could affect accounts or share information pass through Auto-review, and some require user approval. These controls describe the proposed delegation boundary, not proof that the system reliably observes every blocked or stalled action.

Implication: Dots shifts the user’s role from issuing each instruction to supervising an agent that acts between conversations. Evidence boundary: The supplied public source is OpenAI’s product page, so capabilities and safeguards here are company descriptions, not independent test results; it does not establish regional availability, pricing, or usage limits. Watch condition: Verify how permission requests, stalled tasks, and approval-dependent actions are surfaced during real use. A separate analytical record is appropriate because no prior New Runtime record was supplied, and this page documents a specific product and operating model.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

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- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)