[
    {
        "role": "user",
        "content": "What%20does%20Codex%20do%20besides%20assist%20with%20coding%3F"
    },
    {
        "role": "assistant",
        "content": "OpenAI\u2019s Codex is more than just a tool for writing code. While coding assistance remains core to its purpose, Codex has evolved into a much broader AI agent platform that supports complex workflows, content creation, automation, project management, and repetitive tasks\u2014often across non-coding domains. Here are the major capabilities and scenarios where Codex shines beyond just helping you write software.\n\n---\n\n## Key Non-Coding & Workflow Features\n\n### 1. Document Creation & File Editing  \nCodex can handle documents, spreadsheets, slides, and PDFs\u2014for example:  \n- Creating slide decks from source materials or transforming raw data into polished presentations.  \n- Editing and formatting docx, spreadsheet sheets, and PDF files.  \n- Generating professional documentation linked to your existing materials. ([openai.com](https://openai.com/academy/what-is-codex/?utm_source=openai))\n\n### 2. Information Gathering & Synthesis  \nBeyond isolated tasks, Codex can pull information from multiple sources\u2014like email, Slack, dashboards\u2014and compile it into coherent reports or dashboards. It can also update and manage files based on changing inputs. ([openai.com](https://openai.com/academy/what-is-codex/?utm_source=openai))\n\n### 3. Project & Task Automations  \nCodex supports Automations and Skills:  \n- **Automations** let Codex do things in the background regularly (e.g., triaging issues, summarizing CI test results, creating daily reports) without needing you to initiate each task. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))  \n- **Skills** are like packages of instructions or scripts that allow Codex to use tools and workflows, executing tasks such as deploying to cloud platforms, generating UI mockups, or image editing. They help move projects forward in a more self-directed manner. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))\n\n### 4. Computer Usage & App Interaction  \nRecent updates have extended Codex\u2019s reach into controlling desktop environments:  \n- It can access other parts of your computer and operate desktop apps autonomously. ([techradar.com](https://www.techradar.com/pro/codex-can-now-operate-your-computer-alongside-you-openai-takes-major-shot-at-claude-code-with-major-workplace-updates?utm_source=openai))  \n- Features like an in-app browser allow it to interact with websites, file-backed UI previews, click through rendered UIs, and verify visual changes. ([techradar.com](https://www.techradar.com/pro/codex-can-now-operate-your-computer-alongside-you-openai-takes-major-shot-at-claude-code-with-major-workplace-updates?utm_source=openai))\n\n### 5. Memory-Based Context & Personalization  \nCodex can now remember preferences, past corrections, and project context. This means it can adapt its behavior over time, tailoring suggestions and anticipating follow-up tasks based on what you\u2019ve done before. ([techradar.com](https://www.techradar.com/pro/codex-can-now-operate-your-computer-alongside-you-openai-takes-major-shot-at-claude-code-with-major-workplace-updates?utm_source=openai))\n\n### 6. Project Planning & Task Coordination  \nCodex is used for support in planning workflows, managing releases, tracking bugs, load balancing across team members, and other project management tasks\u2014not just coding. It helps you delegate work while retaining oversight. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))\n\n---\n\n## How Codex Fits into Different Roles\n\nHere are examples of how different users might use Codex beyond writing code:\n\n| Role / Use Case | Example Tasks |\n|---|---|\n| **Product Manager / Marketer** | Generate slide decks, create marketing collateral, gather insights from different data sources, outline product specs. |\n| **Operations / Admin** | Automate document updates, prepare reports, manage schedules, summarize dashboards. |\n| **Designer** | Convert designs from Figma to production-ready UI, generate mockups, edit images. |\n| **Team Lead / Dev Sustain** | Watch performance and legacy issues, catch deprecated patterns, generate summaries of code health, triage incoming issues. |\n\n---\n\n## Limitations to Keep in Mind\n\nWhile Codex is powerful, there are areas where you'll want to stay involved:\n\n- **Judgment & Review:** Codex is great for execution but isn\u2019t yet a substitute for human oversight. Whenever critical decisions or creative nuances are involved, your review is essential. ([openai.com](https://openai.com/academy/what-is-codex/?utm_source=openai))  \n- **Uncertain Tasks / Ambiguity:** Tasks without clear instructions or which require lots of external world knowledge can lead to errors. Codex works best when workflows are well-defined. ([openai.com](https://openai.com/index/introducing-codex/?utm_source=openai))  \n- **Prose & UX-level polish:** Codex can create text and visuals, but its strengths are in structured, actionable output\u2014documents, interactive tasks\u2014not chatty content or free-form writing. ([innovatrixinfotech.com](https://www.innovatrixinfotech.com/blog/openai-codex-2026-what-it-can-do?utm_source=openai))  \n\n---\n\n## Bottom Line\n\nCodex isn\u2019t just for developers\u2014it\u2019s an agent you can delegate real work to. Whether you\u2019re gathering and organizing information, automating workflows, managing files and documents, or working at the edge of design or operations, Codex is built to take tasks off your plate, not just help you write code. When used with structure, clear guidance, and your oversight, it can be a force multiplier across many kinds of work.  \n\nIf you tell me your role (e.g. marketing, product, operations), I can suggest exactly how you might use Codex in your daily work outside of coding."
    },
    {
        "role": "user",
        "content": "Is%20Codex%20an%20app%20you%20download%3F%20Or%20is%20it%20something%20you%20use%20through%20the%20website%3F"
    },
    {
        "role": "assistant",
        "content": "Codex isn\u2019t just a browser-only tool\u2014you have multiple ways to use it depending on what feels most comfortable or what fits your workflow. Here\u2019s a breakdown of where and how you can access Codex:  \n\n---\n\n## \ud83d\udda5\ufe0f Places Where You Can Use Codex\n\n1. **Web / Cloud Interface**  \n   Codex is built into ChatGPT via the web. If you have a ChatGPT plan that includes Codex (Plus, Pro, Business, Enterprise/Edu), you can use it directly in your browser. ([help.openai.com](https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan?utm_source=openai))  \n   It\u2019s also available through a dedicated web app at \u201cchatgpt.com/codex\u201d where you can connect your GitHub repos so the agent can edit code, generate pull requests, etc. ([platform.openai.com](https://platform.openai.com/docs/codex/overview?utm_source=openai))\n\n2. **Desktop (Mac & Windows) App**  \n   A dedicated Codex app is available for macOS \ud83d\udcbb and there\u2019s also a Windows version. ([itpro.com](https://www.itpro.com/technology/artificial-intelligence/openais-codex-app-is-now-available-on-macos-and-its-free-for-some-chatgpt-users-for-a-limited-time?utm_source=openai))  \n   This app gives you more of a full-featured environment, including support for running a few different agents in parallel, isolated threads, managing long-term tasks, and reviewing diffs locally. ([openai.com](https://openai.com/index/unlocking-the-codex-harness/?utm_source=openai))\n\n3. **Command Line Interface (CLI)**  \n   If you're comfortable in a terminal, Codex CLI lets you work locally. It brings many Codex features\u2014code & test running, working within your project folder\u2014into a terminal-based workflow. ([openai.com](https://openai.com/index/introducing-codex/?utm_source=openai))\n\n4. **IDE Extensions**  \n   You can use Codex through extensions in popular code editors / IDEs. This means Codex can integrate with tools you already use (like VS Code or IntelliJ), to help with tasks like code completion, refactoring, and reviewing directly in your editor. ([openai.com](https://openai.com/index/unlocking-the-codex-harness/?utm_source=openai))\n\n---\n\n## \ud83d\udd13 What Subscription or Permissions You Need\n\n- Codex access depends on the **ChatGPT plan** you\u2019re on. Plans like Plus, Pro, Business, Education, and Enterprise include it. ([help.openai.com](https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan?utm_source=openai))  \n- Free/Go users sometimes get access during limited trials/promotions, but those usually come with tighter usage limits. ([help.openai.com](https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan?utm_source=openai))  \n- In some workplaces (especially with Enterprise or Education subscriptions), there might be **admin controls** (roles and permissions) to enable or disable Codex access or certain features. ([help.openai.com](https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan?utm_source=openai))\n\n---\n\nIf you tell me what device or environment you primarily use (like Mac, Windows, a phone, or specific editor), I can walk you through getting Codex set up there."
    },
    {
        "role": "user",
        "content": "I%27m%20using%20a%20Windows%20computer%20with%20ChatGPT.%20Are%20there%20reasons%20why%20I%20would%20prefer%20using%20the%20Codex%20app%20over%20the%20website%3F"
    },
    {
        "role": "assistant",
        "content": "If you're using a Windows computer with ChatGPT, there *are* solid reasons why using the native Codex desktop app might give you a better experience than just going through the website. Here are the key differences, trade-offs, and why the app might be the more productive choice for many developers.\n\n---\n\n## What you get in the Codex Desktop App (Windows)\n\nBased on the most recent updates, here\u2019s what the Windows Codex app does that adds value over the browser version:\n\n- **Native integration with Windows tools**  \n  The Windows app includes a native sandbox plus full PowerShell support. That means it can execute commands locally in a more seamless and secure way than a web interface typically allows. ([techrepublic.com](https://www.techrepublic.com/article/news-openai-codex-windows-app-launch/?utm_source=openai))\n\n- **Parallel work and project structure**  \n  You can run multiple \u201cagents\u201d (tasks) simultaneously, each working in its own *worktree*\u2014essentially independent copies of parts of your repo. This avoids conflicts and makes it easier to do feature work, bug fixes, experiments in parallel. ([techrepublic.com](https://www.techrepublic.com/article/news-openai-codex-windows-app-launch/?utm_source=openai))\n\n- **Skills and Automations**  \n  These allow you to bundle workflows, reuse common tasks, schedule routine work, etc.\u2014directly inside the app. The app provides a dedicated UI for managing skills and running automations. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))\n\n- **In-app browser and richer toolchain support**  \n  The app includes features like an in-app browser for easier front-end iteration, ability to view multiple files and terminals, links with Git, remote devboxes via SSH\u2014things that help when working on complex projects. ([openai.com](https://openai.com/index/codex-for-almost-everything/?utm_source=openai))\n\n- **Secure sandboxing & file isolation**  \n  Each task is sandboxed so it only touches the files you authorize. The app is built with OS-level controls (sandbox users, restricted filesystem permissions, etc.) to give you safety and control. ([techrepublic.com](https://www.techrepublic.com/article/news-openai-codex-windows-app-launch/?utm_source=openai))\n\n---\n\n## What the Web Version Still Does Well\n\nThe browser version isn't bad\u2014it still works fine for many use cases:\n\n- You can use it anywhere without installing anything.\n- It integrates with your ChatGPT account, so session history, settings, etc., are synced.\n- Good for lightweight tasks: prototyping, brainstorming, small edits.\n- Browser access to coding agents, code reviews, etc., especially if you don\u2019t need full file system integration or local command execution. ([help.openai.com](https://help.openai.com/en/articles/11369540-codex-in-chatgpt?utm_source=openai))\n\n---\n\n## Trade-Offs & Possible Drawbacks of Using the App\n\nHere are some things you might lose or have to consider compared to the web version:\n\n- **Installation & occasional update hassles**  \n  You\u2019ll need to install the app, configure it, keep it updated. Sometimes platform-specific bugs or compatibility issues (drivers, permissions, etc.) can pop up.  \n\n- **System resource usage**  \n  Running local sandboxes with multiple agents may demand more CPU, RAM, disk activity than the browser version which offloads most work to cloud servers.  \n\n- **Feature rollout differences**  \n  Some updates/security features or \u201cpersonalization/memory\u201d may roll out more slowly on some platforms or plans. Certain preview or enterprise features might be limited by region or subscription tier. ([techradar.com](https://www.techradar.com/pro/codex-can-now-operate-your-computer-alongside-you-openai-takes-major-shot-at-claude-code-with-major-workplace-updates?utm_source=openai))\n\n- **Collaboration context**  \n  If you regularly switch between machines (like laptop + desktop), the web version is always available everywhere. The app gives good session syncing, but seamless switching might still be smoother via browser.  \n\n---\n\n## When You\u2019d Prefer the App\n\nPutting it all together: the app tends to shine in situations like these:\n\n- You\u2019re developing serious projects\u2014multiple features, large codebases, needing parallel work, or frequent context switches between tasks.\n- You need to run commands locally, manage branches, access your file system securely, or integrate with OS tools like PowerShell, SSH, etc.\n- You depend on automations, background jobs, recurring tasks, or simply want more control over what the AI agents do (sandboxing, reviewing diffs, isolating tasks).\n- Security and isolation matter: you want better guarantees that what the AI does stays confined and you approve what actually changes.\n\n---\n\nIf you want, I can compare the specific performance/time-savings difference between app vs web based on recent user benchmarks, or even check whether your machine meets the minimum specs for the app. Do you want me to pull that together?"
    },
    {
        "role": "user",
        "content": "If%20I%20want%20Codex%20to%20make%20inaccessible%20documents%20accessible%20I%20should%20use%20the%20app%20to%20protect%20my%20data%2C%20right%3F"
    },
    {
        "role": "assistant",
        "content": "Yes \u2014 using the Codex desktop app *can* help you better protect your data when working with inaccessible or sensitive documents. But it\u2019s not a silver bullet: you\u2019ll still need to set things up carefully and follow best practices. Below is a breakdown of how the app\u2019s security works, what advantages it has, what risks remain, and what you should do to stay safe.\n\n---\n\n## How the Windows Codex App Enhances Security\n\nHere are the major security features in the Windows Codex app that make it safer than working purely through a browser:\n\n- **OS-level sandboxing & restricted permissions**:  \n  Codex on Windows uses restricted tokens and filesystem access control (ACLs) to limit its access to only parts of your system that you allow. It separates the app\u2019s processes under reduced permissions to protect sensitive files. ([openai-codex.mintlify.app](https://openai-codex.mintlify.app/concepts/sandboxing?utm_source=openai))\n\n- **Workspace isolation (worktrees)**:  \n  The app provides the ability to isolate different tasks (or \u201cagents\u201d) in separate work directories, so agents working on one document or project don\u2019t interfere with others. That helps contain exposure. ([openai-codex.mintlify.app](https://openai-codex.mintlify.app/concepts/sandboxing?utm_source=openai))\n\n- **Sandbox modes to control actions**:  \n  There are multiple sandbox modes:\n  - Read-only: documents can be viewed, code analyzed, but no modifications and minimal filesystem/network access. ([openai-codex.mintlify.app](https://openai-codex.mintlify.app/concepts/sandboxing?utm_source=openai))  \n  - Workspace write: allows editing inside the working folder you designate; other areas remain restricted. ([mintlify.com](https://www.mintlify.com/openai/codex/architecture/sandboxing?utm_source=openai))  \n  - Danger/full-access mode: powerful but risky; everything is open including filesystem and network. Should be used only in trusted environments. ([openai-codex.mintlify.app](https://openai-codex.mintlify.app/concepts/sandboxing?utm_source=openai))\n\n---\n\n## Why the Web Version Is More Limited From a Privacy Perspective\n\nCompared to the app, the web (ChatGPT in your browser) is easier and more versatile in many ways\u2014but has disadvantages for protecting sensitive data:\n\n- **Less control over local file access**: Web apps usually don\u2019t let you isolate permissions so finely; when you upload files, they go to OpenAI\u2019s servers. If the document is highly sensitive or restricted, that could be a concern.  \n- **More data transit over the internet**: Data you upload travels to remote servers. While OpenAI encrypts data in transit and at rest, there\u2019s more exposure.  \n- **Dependence on browser security settings**: Browser security models (e.g., file picker dialogues) are more general and less customizable than sandboxed local apps.\n\n---\n\n## What Doesn\u2019t Change \u2014 Risks That Remain\n\nEven with the app, some risks or responsibilities remain:\n\n- **User consent matters**: If you grant too many permissions (e.g. full filesystem access, network access), you reduce the effectiveness of sandboxing. Accidental data leaks can still happen via misclicks. ([mintlify.com](https://www.mintlify.com/openai/codex/architecture/sandboxing?utm_source=openai))  \n- **Changes suggested still need your review**: AI suggestions or edits should always be reviewed manually\u2014especially for sensitive documents.  \n- **Secrets or credentials stored locally**: If your documents contain passwords, API keys, or secret environment files (`.env`), those could still be accessed if permissions are too broad.  \n- **Security of local environment**: Your machine\u2019s overall security still matters (OS updates, antivirus, access control). If your system is compromised, sandboxing helps, but isn\u2019t an absolute barrier.\n\n---\n\n## What You Should Do if You Need Maximum Protection\n\nTo ensure documents become accessible without exposing sensitive content:\n\n1. **Use the app rather than the web version**.  \n2. Keep Codex in **read-only mode** when you just want it to extract or transcribe content, but not modify files.  \n3. Limit the workspace to only the folder(s) containing the document; avoid granting full system access.  \n4. Do *not* enable network access unless needed; block it if possible.  \n5. Prefer running in a freshly cloned project folder (from version control) that doesn\u2019t include secrets or credentials.  \n6. Use manual reviews\u2014after Codex edits or extracts content from a document, inspect the output before using or sharing.  \n7. Use encryption and secure storage for sensitive files at rest.  \n8. Regularly update Codex and your OS so sandboxing features are patched and strengthened.  \n\n---\n\n## Bottom Line\n\nYes \u2014 the Windows Codex app gives you stronger control and better tools for protecting sensitive documents vs. using the web interface. It\u2019s safer by default due to sandboxing, isolation, and permission controls.\n\nBut ultimately, how safe things are depends on **how you configure it** and **how you behave**. If you care about making inaccessible documents accessible *securely*, use the app, stay in restrictive sandbox modes, limit permissions, and always review anything Codex does with your data. If you want, I can walk you through setting up Codex in the most secure configuration (step-by-step)."
    },
    {
        "role": "user",
        "content": "Does%20the%20app%20send%20the%20contents%20of%20files%20to%20OpenAI%20or%20any%20other%20service%20over%20the%20Internet%3F"
    },
    {
        "role": "assistant",
        "content": "Here\u2019s what I found out: yes, under certain conditions, the Codex desktop app *does* send file contents (or parts of them) to OpenAI servers. But whether or how much data is transmitted depends on settings and task types. Below are the details, what gets sent, when, and what controls you have\u2014so you can decide how to protect your data.\n\n---\n\n## What the App Docs and Sources Say\n\n### 1. Local vs. Cloud Tasks\n\n- The Codex app allows you to pick whether a task runs **locally** or in the **cloud**. Local tasks only work with files in a folder you assign (your \u201cworkspace\u201d), and the app\u2019s tools run on your machine. ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n- For cloud tasks, OpenAI provisions sandboxed containers, and your file contents (or those parts relevant to the task) are uploaded to those containers for processing. ([platform.openai.com](https://platform.openai.com/docs/codex/overview?utm_source=openai))  \n\n### 2. What \u201cWork Locally\u201d Means\n\n- When you choose **\u201cWork locally\u201d**, Codex is restricted to operating inside a folder you designate. It doesn\u2019t automatically access all files on your machine. ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n- If you grant elevated permissions, or pick \u201cFull permissions,\u201d then Codex can access more of your filesystem. How much more you allow is up to you. ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n\n---\n\n## What Does Get Sent\u2014File Contents, or Context?\n\nTo carry out tasks (especially ones involving analysis, changes, or cloud-based generation), the app may send file contents or relevant fragments to OpenAI\u2019s servers\u2014for example:\n\n- Code files, documents (PDFs, DOCX), spreadsheets you ask to read/edit. These will necessarily be sent to the processing environment (cloud) if you're using a cloud task, because the model needs that content. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))  \n- For local tasks, while most of the processing happens on your machine, the model still needs to run (which itself is often done via OpenAI API), meaning certain data may be sent. The docs recognize that file contents become part of task \u201ccontext\u201d even in local operations. ([digitalapplied.com](https://www.digitalapplied.com/blog/codex-windows-native-desktop-agent-sandbox-app-guide?utm_source=openai))  \n\n---\n\n## What You Control: Permissions and Settings\n\n- You choose **workspace folder(s)**. Only the folder(s) you assign are accessible when using local mode. ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n- You decide **permission level**: default, workspace-limited, or full access. Higher permission = more data accessible and more operations allowed. ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n- You can prefer local tasks when wanting more privacy; avoid cloud tasks or elevated permissions if data sensitivity is high.  \n\n---\n\n## Privacy Features & Other Notes\n\n- OpenAI\u2019s \"Chronicle\" feature (currently opt-in preview) can capture screen content (including files shown on screen) to build context (\u201cmemories\u201d). If enabled, some screen captures are temporarily sent to servers for processing. ([helpnetsecurity.com](https://www.helpnetsecurity.com/2026/04/21/openai-chronicle-codex-screen-context-memories/?utm_source=openai))  \n- These captures are stored locally first; selected frames are used, then old screen captures are deleted after some time. ([helpnetsecurity.com](https://www.helpnetsecurity.com/2026/04/21/openai-chronicle-codex-screen-context-memories/?utm_source=openai))  \n- OpenAI\u2019s docs and the app explicitly talk about being \u201csecure by default, configurable by design,\u201d meaning that many privacy-protecting defaults are in place. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))  \n\n---\n\n## Bottom Line\n\nPutting it all together:\n\n- If you work **entirely locally**, and stay within a project folder with restricted or \u201cdefault\u201d permissions, Codex *only sends exactly what\u2019s needed* for the tasks that require server-side help\u2014no wholesale file exfiltration.  \n- If you use **cloud tasks**, grant **full permissions**, or enable features like **Chronicle**, then yes, contents (or a representation) of files/screens may be transmitted to OpenAI.  \n\n---\n\nIf you like, I can pull up a more detailed checklist for configuring Codex so it *never* sends sensitive data anywhere beyond your machine\u2014and you could use that for highly restricted documents. Do you want that?"
    },
    {
        "role": "user",
        "content": "Can%20Codex%20process%2C%20summarize%2C%20and%20create%20content%20without%20accessing%20the%20Internet%3F"
    },
    {
        "role": "assistant",
        "content": "No \u2014 right now, Codex can\u2019t fully process, summarize, or generate new content *without* Internet connectivity, except in very limited local contexts. Below is a breakdown of what Codex *can* and *can\u2019t* do offline, and what parts still require cloud services.\n\n---\n\n## What Requires Internet/Cloud Infrastructure\n\n1. **Model Inference (the \u201cBrain\u201d)**  \n   All official Codex versions use large-scale language models (e.g. codex-1, GPT-5.3-Codex) that are hosted on OpenAI\u2019s servers. Every time you send a prompt, file content, or request a summary/generation, your data must go over the network to get processed in the cloud. ([openai.com](https://openai.com/index/introducing-codex/?utm_source=openai))\n\n2. **Cloud Task Execution & Sandboxed Environments**  \n   Even when tasks are running \u201cin the cloud,\u201d Codex creates sandboxed environments remotely to run tools, tests, or code edits. These environments aren\u2019t local to your machine\u2014they\u2019re managed on OpenAI\u2019s infrastructure. ([milvus.io](https://milvus.io/ai-quick-reference/can-codex-be-used-offline?utm_source=openai))\n\n3. **Internet-dependent Features (e.g. web searches, dependency fetching, remote consulting)**  \n   If a task needs to fetch external web content (documentation, websites, external libraries), or to fetch model parameters or updates, those naturally require Internet. By default, Codex\u2019s Internet access is turned off for security, and you can enable it selectively if needed. ([openai.com](https://openai.com/index/introducing-the-codex-app/?utm_source=openai))\n\n---\n\n## What \u201cWorking Locally\u201d Means \u2014 And Its Limits\n\n- Codex\u2019s desktop app includes a **\u201cWork locally\u201d** mode/configuration. That restricts its access to just the folder you designate (\u201cproject folder\u201d) and limits what permissions the agent has (read/write, network, etc.). ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n- You can pick **default permissions** for these local tasks, which are more restrictive\u2014this helps limit exposure of data. ([openai.com](https://openai.com/academy/codex-how-to-start?utm_source=openai))  \n- However, even in \u201cwork locally\u201d mode, the actual **model inference**\u2014the part that turns text into summary or new content\u2014is still processed over the network on OpenAI\u2019s servers. Codex does *not* run the full AI model entirely on your own machine. ([milvus.io](https://milvus.io/ai-quick-reference/can-codex-be-used-offline?utm_source=openai))\n\n---\n\n## Why Fully Offline Isn\u2019t Supported (yet)\n\n- The models (codex-1, GPT-5.x, etc.) are large, require significant compute power, and are not packaged for local inference in a way that\u2019s officially supported. ([milvus.io](https://milvus.io/ai-quick-reference/can-codex-be-used-offline?utm_source=openai))  \n- OpenAI\u2019s design philosophy for Codex is cloud-based, so features like updating, security patches, multi-agent coordination, sandboxing rely on cloud infrastructure. ([openai.com](https://openai.com/index/unlocking-the-codex-harness/?utm_source=openai))  \n\n---\n\n## What You Can Do If You Need Offline or More Privacy\n\nIf your goal is to summarize or edit inaccessible/sensitive documents without sending data offsite, here are options to explore:\n\n- Use general-purpose large language models that are fully open-source and can run locally (e.g. through LM Studio, Ollama, etc.). These require local hardware with enough memory/compute.  \n- Use tools dedicated to offline summarization (PDF summarizers, OCR tools, local scripts) that don\u2019t depend on external APIs.  \n- Restrict permissions and work in \u201coffline mode\u201d as much as possible in Codex (disable network access, pick workspace-only permissions), though you\u2019ll still need Internet for the core model inference.\n\n---\n\n## \u2611\ufe0f Bottom Line\n\n- Codex cannot currently **operate wholly offline** for summary/generation; the model computation always involves network calls to OpenAI servers.  \n- \u201cWork locally\u201d mode limits where the agent can access files and what operations it can perform, which helps with security, but doesn\u2019t avoid sending data to those servers.  \n- If you're dealing with highly sensitive documents and want zero external data transfer, Codex isn\u2019t sufficient by itself\u2014you\u2019ll likely need a local-only solution.\n\nIf you want, I can help you find or set up tools that **are** fully offline and suitable for secure summarizing and text generation. Would you like me to pull together a list with pros/cons?"
    }
]