Search the docs Conversation state Background mode Counting tokens Supported countries OpenAI Crawlers Terms and policies Agent Builder Overview Migration guide Node reference Safety in building agents Migration guide Safety in building agents Evals Getting started Working with evals Prompt optimizer External models Best practices Graders Getting started Working with evals Prompt optimizer External models Fine-tuning Optimization cycle Supervised fine-tuning Vision fine-tuning Direct preference optimization Reinforcement fine-tuning RFT use cases Best practices Optimization cycle Supervised fine-tuning Vision fine-tuning Direct preference optimization Reinforcement fine-tuning Assistants API Migration guide Deep dive Tools Migration guide Model selection Text generation Code generation Structured output Prompt engineering Citation formatting Migration guide Prompt generation Frontend prompting Reasoning models Reasoning best practices Images and video Images and vision Image generation Video generation Realtime and audio Audio and speech Specialized models Agent definitions Models and providers Results and state Integrations and observability Evaluate agent workflows Advanced integrations Function calling Search and retrieval Connect tools and data MCP and Connectors Secure MCP Tunnel Build tool workflows Programmatic tool calling Computer and code Code interpreter Image generation Live translation Realtime prompting guide Audio and speech File transcription Realtime transcription Speech generation Connection methods Sessions and operations Managing conversations Voice activity detection Realtime with tools Webhooks and server-side controls Production best practices Deployment checklist Performance and quality Latency optimization Predicted Outputs Accuracy optimization Cost and throughput Cost optimization Flex processing Safety and governance Safety best practices Safety checks Cybersecurity checks Under 18 API Guidance Cybersecurity checks Under 18 API Guidance Content provenance Infrastructure and access Terraform provider Overview Projects and access Service accounts Rate limits and spend Model, tool, and data controls Import and reconciliation Projects and access Service accounts Rate limits and spend Model, tool, and data controls Import and reconciliation Workload identity federation X.509 certificates (beta) Kubernetes AWS Microsoft Azure Google Cloud Oracle Cloud Infrastructure GitHub Actions SPIFFE X.509 certificates (beta) Microsoft Azure Oracle Cloud Infrastructure IP egress ranges Plugin architecture Brainstorm use cases Build an MCP server Add UI to your MCP server (optional) Authenticate users Package your plugin Test and publish Connect and test your plugin Submit and publish Submission error reference Conversion specs Restaurant reservation spec Product checkout spec Optimize Metadata Submit a Claude Code plugin Security & Privacy Troubleshooting Plugin guidelines MCP server review requirements Plugin UI reference Checkout API reference Trigger workspace agent runs Authenticate with Workspace Agent access tokens Measurement Pixel Multiple Pixels (Advanced) Conversions API Supported Events API Partner Setup Delta Feeds API Campaign Targeting Conversion-Optimized Campaigns Conversion Setup Get started with Work Import from another agent Personalize ChatGPT Skills & Plugins ChatGPT desktop app ChatGPT on the web Codex IDE extension Feature Maturity Projects and chats Scheduled tasks Long-running work Image generation Chrome extension Work with files Troubleshooting Computer History Advanced Config Config Reference Environment Variables Agent configuration Extend ChatGPT and Codex Record & Replay Windows sandbox Development workflows

Integrated terminal Extend and automate Local environments Cloud environment Build with Codex Non-interactive mode Third-party integrations CLI customization Developer commands Developer settings Agent approvals & security Internet access Codex Security plugin Quickstart Run a security scan Run a deep scan Review code changes Use the Security workbench Triage a backlog Fix findings Propose security hardening Write vulnerability reports Export and track findings Changelog Run a security scan Run a deep scan Review code changes Use the Security workbench Triage a backlog Propose security hardening Write vulnerability reports Export and track findings Codex Security CLI Quickstart Run bulk scans Run scans in CI Reference FAQ Run scans in CI Codex Security cloud Setup Security Review Improving the threat model FAQ Security Review Improving the threat model Models & Trusted Access Recommended configuration Getting started Admin rollout guide ChatGPT Work Overview ChatGPT Work admin FAQ Identity and authentication Authentication overview Personal Access Tokens Service accounts Workspace access, policy, and models Groups and provisioning Roles and workspace permissions GPTs and Sharing Managed configuration HIPAA configuration Workspace model availability Plugin and connector controls Plugin controls Usage, governance, and compliance Workspace analytics Compliance API and audit events Deployment and model providers Manage app updates Windows app deployment Remote connections Explore use cases Online trainings Codex Ambassadors Codex for Students Codex for Open Source Explore use cases Online trainings Codex Ambassadors Codex for Students Codex for Open Source Custom Code Review rules for Codex Mastering remote engineering work from your phone Making private MCP servers reachable without making them public How Perplexity Brought Voice Search to Millions Using the Realtime API Designing delightful frontends with GPT-5.4 Cookbook on GitHub OpenAI Developers plugin Image generation Video generation Codex Ambassadors Codex for Students Codex for Open Source OpenAI for Startups Developer Forum Go from idea to useful result ChatGPT is an AI agent that you communicate with in natural language: Start with a question, an idea, rough notes, a file, or a task you need to complete. Start with a question, an idea, rough notes, a file, or a task you need to complete. Ask ChatGPT to explain information, develop ideas, draft content, research a topic, analyze materials, or create something new. Ask ChatGPT to explain information, develop ideas, draft content, research a topic, analyze materials, or create something new. Add the context and tools it needs, such as files, web search, projects, or plugins. Add the context and tools it needs, such as files, web search, projects, or plugins. Review the result, correct the direction, and ask for changes. You don’t need a perfect first prompt or special commands. Review the result, correct the direction, and ask for changes. You don’t need a perfect first prompt or special commands. Choose how you want to work Use Chat for a question or back-and-forth. Turn on Work in the switcher when you want ChatGPT to carry a larger task through to a reviewable result. Select Codex when you want developer views or more technical detail, especially for software development. Use Chat to ask questions, brainstorm, draft or revise text, summarize files, compare options, or clarify a larger task. In Codex, point to New chat , then select Quick chat when that option is available. When you need a finished, reviewable result, switch to Work and describe what it should include. See Get started with ChatGPT Work for example tasks, prompts, and best practices. What ChatGPT Work can do ChatGPT Work can plan a task, gather context, use tools, and carry the work through to a result you can review. Research and analyze information. Search the web, browse websites, compare sources, read files, analyze data, and summarize findings. Use your files and tools. Bring in uploaded files, projects , memories, ChatGPT Library, and installed plugins . Plugins can provide connected information, reusable workflows, and supported actions. Create finished files. Draft and refine documents, presentations, spreadsheets, and PDF files . Review the result, ask for specific changes, and download the completed file. Create visual and interactive work. Generate or edit images , make interactive visualizations , and build or share websites and apps with Sites . Work across websites and apps. Use the browser to research and interact with websites. In the desktop app, use the Chrome extension , Computer Use , and appshots when those features are available. Run code and review technical work. Run code and shell commands, analyze data, inspect files, review code , and work with repositories your selected environment can access. Delegate and continue longer tasks. Split independent work across subagents , follow their progress, and keep long-running work active. Repeat useful workflows. Set up scheduled tasks for recurring work and use skills to reuse a workflow. Talk through a task. On supported plans in the desktop app, use ChatGPT Voice to start work, check progress, or change direction. Features depend on your plan, platform, region, rollout, and workspace settings. Your workspace administrator can control access to ChatGPT Work, plugins, browser use, and network access. ChatGPT Work and Codex share usage limits . Choose cloud or local work On the web, ChatGPT Work runs in a managed cloud environment. In the desktop app, you may also be able to choose where a task runs: Cloud: Run work in an isolated hosted environment. A task can keep going after you close the desktop app and continue from the web or mobile app. Cloud work can use uploaded files, connected tools, and approved websites. Work locally: Use files, apps, or the browser on your computer. Local work is available in the desktop app when enabled for your account or workspace. ChatGPT shows its progress and pauses when it needs information or approval. Review consequential actions before approving them, and check the final result before you use or share it. Compare ChatGPT Work and Codex on desktop ChatGPT Work and Codex have overlapping capabilities. If you prefer Codex, you can keep using it for research, documents, presentations, and other knowledge work. When both are available to you, the desktop app changes the interface and how the agent presents its work. Talk to ChatGPT naturally Write as if you were explaining the request to a helpful colleague. State what you want to accomplish, add the details that change the answer, and describe the format you need. Your first prompt is only a starting point—you can add context or refine the result with follow-up messages. You can continue with simple directions such as: “Make this shorter.” “Give me three different approaches.” “What assumptions are you making?” “Ask me questions before you continue.” Learn more about prompting , or take the AI Foundations course for guided practice. Bring the right context into ChatGPT Give ChatGPT the information, tools, and instructions that matter to the task. You don’t need to provide everything—include the context that changes what a good result looks like. Keep related work in a project Projects help you organize ChatGPT around a topic, goal, or ongoing body of work. Keep related chats, files, and instructions in one project when the work will continue over time or depend on the same context. Learn more about projects. You can upload or attach documents, presentations, spreadsheets, PDF files, images, and data exports. Use them when you want ChatGPT to: Summarize or compare them. Find patterns or inconsistencies. Extract, clean, or reorganize information. Use them as source material for a new file. When ChatGPT creates a file, open the preview and check its contents. You can then ask for changes without starting over. Learn more about working with files . Connect tools with plugins Plugins can connect ChatGPT to the tools and information you use for work, such as Google Drive, SharePoint, Salesforce, or Gong. Use them when a task depends on information outside the chat, actions in another system, or a repeatable workflow. Plugin availability depends on your plan, workspace settings, and the plugin itself. Learn more about skills and plugins . Make the result ready to use Treat the first result as a draft you can inspect, challenge, and improve. A polished response can still be incomplete or wrong, so review the details that matter before you use or share it. Check the work: Verify important numbers, names, dates, quotes, and claims. Open generated files and inspect every section, tab, slide, or page. Confirm that ChatGPT used the correct and most current source material. Look for missing information and unsupported assumptions. Ask for focused revisions when the result misses the goal. Then ask ChatGPT to pressure-test the result: “What sources did you use for this?” “Cite the source for each major claim.” “What assumptions did you make?” “What information were you unable to access?” “What would change your recommendation?” “Check this result against the original files.” If ChatGPT couldn’t access a source or complete part of the task, ask it to say so plainly. An explicit gap is easier to address than a confident guess. Legal, financial, medical, security, and other high-stakes decisions require appropriate expert review. Use ChatGPT to support informed judgment, not replace it. Start using ChatGPT with a guided first task. Write useful prompts for questions, finished work, and coding tasks. Set preferences and carry useful context across chats. Loading docs agent...