OpenAI DevDay 2026: Dots, Space, and AI That Keeps Working

Reporting from OpenAI DevDay 2026, Vaibhav Sisinty sees a shift from assistants that wait for prompts to agents that can keep working between them. Dots is the headline, but the more useful story is how shared context, computer use, plugins, and event triggers fit together. His video also surveys competing launches from Anthropic, Google, Perplexity, and Microsoft. This guide separates the demonstrations from what is actually available today.

Watch Vaibhav's DevDay Report

Credit: Vaibhav Sisinty attended DevDay and assembled this cross-company report. Product availability and performance claims below are checked against the companies' linked announcements; the business interpretation is ours.

Dots, Space, and Pages: The Work Surface

Dots are OpenAI's always-on agents. According to OpenAI's launch page, a dot uses GPT-6 Astra, has a cloud computer, can work with connected plugins, and can ask for input when an important decision needs you. This is more than a persistent chat, but it is not permission to act without boundaries. OpenAI lists a primary dot for Pro and Business Premium in eligible markets; Enterprise, Edu, and Healthcare have an admin-enabled beta. Usage limits apply, and specialist dots remain in focused pilots.

ChatGPT Space and Pages provide the shared working context. A Space can hold team knowledge for people and AI; Pages are collaborative documents that can include research, charts, images, and edits. Space and Pages are available on Pro, Business, and Enterprise, while some mobile editing and collaborative slides were still forthcoming in the DevDay recap. The practical distinction is simple: a Dot owns an ongoing assignment; Space holds shared context; a Page is a working artifact.

Models, Codex, and Developer APIs

Vaibhav's Codex segment makes the key point: the model alone is not the product. A useful agent needs tools, permissions, context, testing, and a way to hand work back to a person. His account of a rapid internal codebase migration comes from an OpenAI conversation, not an independently audited benchmark; it should not be treated as a prediction for another team.

Plugins, Triggers, and Distribution

Plugin Extensions can add interactive panels in ChatGPT, while MCP Events can trigger work when a connected system changes. The latter requires a compatible MCP server and supports Work chats or Dots, so "event-driven" is not the same as zero setup. The recap also lists recurring team tasks, a Meetings plugin in macOS beta for Pro and Business, and @ChatGPT in Slack and Teams for Business and Enterprise.

Sign in with ChatGPT lets Plus and Pro users bring eligible plan usage to participating tools; it is not an unlimited free API for every app. The OpenAI Marketplace, meanwhile, began as an enterprise interest program for approved partner software, not a consumer app store open to every developer. Those distribution details matter as much as the model demos for anyone planning a product.

The Rest of the AI Week

• Anthropic: Claude Sonnet 5.5 targets everyday coding and knowledge work. Anthropic reports more than 30% faster output than Sonnet 5 and up to 30% lower cost per completed task in some cases, not a blanket 30% cut to token pricing. Video segment.
• Perplexity: Computer Automations can respond to monitored changes or a schedule, with memory of earlier work; inline visualizations make some answers explorable. Check permissions before connecting customer data. Video segment.
• Google: Gemini 4 Argon supports up to one million output tokens and Google reports strong long-horizon coding results, but the initial rollout is to trusted cyber defenders and testers, not general public access. The Google Health Coach is a separate premium wellness product with eligibility limits and is not medical advice. Video segment.
• Microsoft: The company announced streaming transcription and MAI-Voice-2.1 for lower-latency voice interactions. A smooth rebooking call in a product demo remains a scenario, not proof that every airline workflow is integrated. Video segment.

The Full OpenAI Conversation

Vaibhav also points to his longer conversation with OpenAI about ChatGPT, coding agents, and the future of work. Watch it separately for the executive discussion behind the shorter report; do not confuse interview claims with published product availability.

What to Test Before Buying More AI

Pick a repeated job with a clear trigger and a human owner. In week one, keep the workflow in recommendation mode: use a general AI assistant to draft a briefing from approved inputs, review every line, and log corrections. If it saves measurable time without introducing unacceptable errors, connect a trigger and limited tools later. Keep account changes, customer messages, purchases, and sensitive records behind explicit approval. This is the part of DevDay's "always on" vision a small team can test today without Dots.

Turn the News Into a Business Test

This prompt uses the episode's workflow ideas to find one small, sellable service. It works in any general AI assistant; no newly launched product is required.

Jump to the Main Segments

Sources and Availability Notes

• Original reporting: Vaibhav Sisinty's DevDay report and full OpenAI conversation.
• OpenAI: official DevDay 2026 recap, Dots launch and access, GPT-6.1 Sol, and MCP Events documentation.
• Other primary sources: Anthropic, Google Argon, Google Health Coach, Perplexity, and Microsoft AI.