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Using projects in ChatGPT

For developers and solopreneurs using ChatGPT as a core tool, projects reduce organization overhead and enable consistent context across multiple sessions, making AI-assisted workflows more reliable and scalable.

OpenAI Blog··1 min readrelease
releaseUsing projects in ChatGPT
openai.com

What happened

OpenAI has introduced a new 'projects' feature for ChatGPT, enabling users to group chats, files, and custom instructions into dedicated workspaces. Previously, ChatGPT conversations were flat lists, making it difficult to manage multiple ongoing tasks or longer-term projects. With projects, users can set persistent instructions per project, ensuring consistency across related chats. This update targets users who rely on ChatGPT for complex, multi-step workflows—such as developers iterating on code or solopreneurs managing business tasks—by reducing context switching and keeping all relevant materials in one place. The feature is rolling out to paid tiers (Plus, Team, and Enterprise). For builders integrating ChatGPT into their workflows, projects provide a structured way to maintain context over time, which is crucial for tasks like refining prompts, tracking decisions, or collaborating across sessions. While not a full-fledged project management tool, it addresses a long-standing gap in ChatGPT's usability for professional work.

Key takeaways

  • ChatGPT now supports 'projects' to organize chats, files, and instructions into separate workspaces.
  • Custom instructions can be set per project, persisting across all conversations within that project.
  • The feature aims to improve management of ongoing work and collaboration, especially for heavy ChatGPT users.
  • It is available to ChatGPT Plus, Team, and Enterprise subscribers initially.

Why it matters

For developers and solopreneurs using ChatGPT as a core tool, projects reduce organization overhead and enable consistent context across multiple sessions, making AI-assisted workflows more reliable and scalable.

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

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