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Introducing group chats in ChatGPT

For AI workflow builders, group chats enable seamless team collaboration within ChatGPT, potentially speeding up decision-making and reducing friction when sharing AI-generated outputs across a team.

OpenAI Blog··1 min readrelease
releaseIntroducing group chats in ChatGPT
openai.com

What happened

OpenAI has launched group chat functionality in ChatGPT, enabling multiple users to collaborate with the AI assistant in a single conversation thread. According to the OpenAI Blog, this feature allows teams to communicate simultaneously with ChatGPT, making it easier to brainstorm, edit, or reference past messages collectively. While ChatGPT already supported shared links and conversation sharing, group chats represent a step toward more interactive, real-time collaboration. For developers and solopreneurs building AI workflows, this update could streamline team discussions around code, content, or strategy, reducing the need to switch between separate conversations. However, the feature appears to be rolling out gradually and may require a ChatGPT Team or Enterprise subscription. Practical implications include using group chats for pair programming with AI assistance, collaborative prompt engineering, or as a shared brainstorming space for projects.

Key takeaways

  • OpenAI introduces group chats in ChatGPT, allowing multiple users to interact with the AI in one conversation.
  • The feature aims to facilitate real-time collaboration among team members and ChatGPT.
  • Group chats may include shared context from previous messages, enhancing continuity.
  • Availability is likely limited to paid plans such as ChatGPT Team or Enterprise.
  • This update positions ChatGPT as a more collaborative tool for teams working on AI-assisted projects.

Why it matters

For AI workflow builders, group chats enable seamless team collaboration within ChatGPT, potentially speeding up decision-making and reducing friction when sharing AI-generated outputs across a team.

This is an original editorial digest by AI Workflow Pro. Full reporting at the source:

Read the original on OpenAI Blog
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