Workspace Agents in ChatGPT
openai.com
April 22, 2026
7 min read
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49/100
Summary
Workspace agents in ChatGPT allow teams to create shared AI agents that manage complex tasks and long-running workflows within organizational permissions. Powered by Codex, these agents can perform various work-related tasks, including report preparation, code writing, and message responses.
Key Takeaways
- OpenAI introduced workspace agents in ChatGPT, allowing teams to create shared agents that manage complex tasks and workflows within organizational permissions.
- Powered by Codex, workspace agents can perform various tasks such as preparing reports, writing code, and responding to messages, and they operate in the cloud for continuous functionality.
- Workspace agents can gather context, follow team processes, and automate workflows, enhancing collaboration across teams and improving efficiency in tasks like lead outreach and product feedback management.
- Users can easily create workspace agents by describing workflows, with templates available for various functions, and agents can run on schedules or respond to requests in real-time.
Community Sentiment
Positives
- The integration of agents into ChatGPT shows promise for automating workflows, potentially freeing up time for higher-value tasks and improving efficiency.
- One user reported achieving 85% effectiveness in automating a task in under 15 minutes, indicating strong performance and usability of the new agent features.
Concerns
- Concerns were raised about the trivialization of complex jobs in the marketing messaging, suggesting a disconnect between AI capabilities and real-world applications.
- There is skepticism about the quality of outputs generated by LLMs when fed inconsistent and poorly organized source material, which could lead to ineffective AI transformations.
