Choose where your AI work happens before you share data or download a model. Read the four choices. Open details only when you need them.

New words, in plain language
Local / cloud
Local runs on your computer. Cloud runs on computers managed online.
Model / tokens
A model produces AI answers. Tokens are small pieces of text; some services charge for the tokens used.
Account / identity
An account is a sign-in. Your cloud identity is the account you use for online services.
Connector / permissions
A connector links an AI tool to another service. Permissions are the access you allow.

Choose your pathway

What do you want to use?

Start with what you want AI to help you do. Then follow the questions to choose where it works. You’ll make the final choice with Jenna before downloading anything.

Find your route

  1. 01

    Do you want to use ChatGPT, Claude or a similar service?

    Yes — ChatGPT, Claude & similar services

    Guided preview

    ChatGPT, Claude & similar services

    Start with an AI service that is ready to use.

    Why choose this

    • Get capable models without buying or maintaining AI hardware.
    • Use familiar apps and approved integrations for writing, research and everyday work.

    We guide account setup and safer working habits.

    How we guide safer hosted use
    What to know

    Processing happens with your chosen provider. Review its settings, terms and connected apps before sharing text. Setup is manual and checks are self-reported.

    Talk it through with Jenna
    No — next question
  2. 02

    Do you want AI on your own cloud service?

    Yes — Your own cloud service

    Coming soon

    Your own cloud service

    Run AI on rented computers in an account you control.

    Why choose this

    • Use more compute than your laptop can provide, or serve a team.
    • Choose deployment settings, access rules and model configuration for your own applications.

    Planning only. No server is created.

    What to know

    You take on cloud bills, access management, updates, monitoring and backups. Your own cloud account is not automatically private or compliant. There is no availability date or provisioning download.

    Talk it through with Jenna
    No — next question
  3. 03

    Do you want a private hybrid of local and cloud AI?

    Yes — Private hybrid

    Local preview

    Private hybrid

    Keep selected work local and send only approved material to cloud AI.

    Why choose this

    • Do simple tasks on your Mac. Send harder tasks to cloud AI to use fewer paid text units (tokens).
    • Keep source files on your Mac. Share only reviewed summaries or general descriptions (abstractions).

    A workflow to design together; cloud connections are not enabled.

    What to know

    Summaries can still expose sensitive information: review them before sharing. Automated file search, redaction and cloud routing are not implemented. Token savings depend on the workload and API pricing; a flat subscription may cost the same. Local setup needs a compatible Mac and the package is unsigned.

    Talk it through with Jenna
    No — start with your Mac
  4. 04 · Your local route

    Do you want AI on your computer?

    Jenna checks your Mac’s report before recommending a model. If nothing fits, installation stops and explains why.

    Check with Jenna

    Local preview

    On your computer

    Keep model processing on your Mac.

    Why choose this

    • Work with text you do not want to send to a model provider.
    • Use a downloaded model without per-token provider fees, including offline workflows after setup.

    Initial downloads need internet. Hardware and electricity still cost.

    What to know

    Requires Apple Silicon, macOS 14 or later, and enough available memory and disk. Model capability and speed depend on your hardware. The package is unsigned; offline restrictions are not enforced automatically, and cloud-synced folders can still copy files elsewhere.

    Talk it through with Jenna

An example, not a scan

See what’s connected.

Know which account owns it. Review access before you share. A record of your connections can help you notice forgotten sharing, recovery or connector links. Choose a whole space, or select an item in this fictional map. Clicking changes only the picture, never your real settings.

Both spaces share the Main Mac and its maintenance admin. The divider shows separate daily work, not separate hardware or a complete security wall.

Default example: no cross-space data sharing or recovery link is shown.

Within a space, or shared Mac authorityOutlined items belong to the selected group or neighbor.

Shared Mac and authority

Personal space

AI practice space

Read selection: Personal space
Read shown connections as text
  • Main Mac ↔ Maintenance admin: Shared device maintenance.
  • Maintenance admin ↔ Personal Mac user: Shared admin can manage this login.
  • Maintenance admin ↔ AI practice Mac user: Shared admin can manage this login.
  • Personal Mac user ↔ Personal email: Uses personal sign-in.
  • Apple Passwords (example) ↔ Personal email: Stores personal credentials.
  • Personal sign-in protection ↔ Personal email: Protects personal sign-in.
  • Personal email ↔ Gmail (example): Opens personal services.
  • AI practice Mac user ↔ AI practice email: Uses AI-practice sign-in.
  • 1Password (example) ↔ AI practice email: Stores AI credentials.
  • AI sign-in protection ↔ AI practice email: Protects AI sign-in.
  • AI practice email ↔ Claude (AI service example): Opens AI services.
  • Personal email ↔ Google Drive (example): Owns personal storage.
  • AI practice email ↔ Dropbox (example): Owns AI-work storage.

Brand names and icons are examples, not endorsements. This is an interactive sample, not your saved setup. Personal map editing, saving and automatic tracking are not available yet. Selection and optional examples reset when you leave or reload.

Hosted, with care

Use hosted AI with safer habits.

We guide you through Standard Mac accounts, password managers, connectors and plugins, privacy settings, and everyday compliance practices. Open a step when you need it. You make and approve each change; this site does not change your settings.

1. Give each Mac login a clear job

Keep daily work and AI work apart. Use a separate admin login for changes that need extra power.

  1. Before changing accounts, make a backup. On a work Mac, ask your IT owner to help.
  2. Open System Settings → Users & Groups → Add User. Create an Administrator account for maintenance, if you do not already have a suitable one. Give it a unique password and test that you can sign in.
  3. From that admin account, add two Standard users: Personal and AI Work. Keep your existing personal files in their current account. If converting that account to Standard, first test the separate admin account; then turn off ‘Allow user to administer this computer’ for the daily account.
  4. Use Personal for daily life and AI Work for AI tasks. Log out or use Switch User to move between them. Use the admin account only for approved maintenance. Do not remove your only working admin account.
  5. In AI Work, sign in only to needed services. Review shared folders, browser profiles, app access and iCloud sync before adding files.

These users share one Mac and operating system. Standard users can change their own settings; this setup does not block every app or upload.

2. Decide if you need a second device

A second computer keeps the AI work on different hardware.

  1. Use separate devices when the work calls for a stronger split than Mac logins can give.
  2. Set up the AI device with only the accounts and files it needs. Avoid copying your full personal browser or cloud setup.
  3. Choose one approved way to move files. Check what syncs, who can share, and how each device is backed up.

A security key helps you sign in. It is not a second work computer. Shared accounts and folders can still connect separate devices.

3. Use a separate sign-in for AI services

A cloud identity is the account you use to sign into an online service.

  1. Create a dedicated email/account, or use the work identity approved by your organization. An email alias in the same mailbox does not give you a separate mailbox.
  2. Use that sign-in for AI services and the browser in your AI Work user. Check the account name before connecting any app.
  3. Keep personal mail and personal sign-ins in the Personal user. Write down who owns each AI account and how to recover it.
  4. If personal Gmail is the recovery address for an AI account, record that link. Protect and maintain that mailbox; do not assume the accounts are fully separate.

A different email does not change a provider’s data rules or stop access to files shared with that account.

4. Share a small folder, not your whole Drive

A shared folder can be a planned bridge between your personal and AI accounts.

  1. Make a folder for approved material. In Google Drive, choose Share, add the exact AI-work account, and use Viewer if it only needs to read.
  2. Keep General access set to Restricted. Check the people with access and any access inherited from a parent folder or shared drive.
  3. Test from the AI-work account. Put only reviewed files in the folder and remove access when it is no longer needed.
  4. Check the connector’s requested access too. Sharing one folder does not mean an app’s permission is limited to that folder.

Summaries and removed names can still reveal private facts. Review what you share; do not assume an abstraction is anonymous.

5. Split password vaults by access

A vault is a group of saved passwords. Its access rules matter more than its name.

  1. Use unique passwords in a trusted password manager. Create Personal and AI Work vaults if your plan supports them.
  2. Check who can open, edit, share or export each vault. In the AI Work session, make only needed credentials available where your manager supports that limit.
  3. If the same unlocked account can open both vaults, they are organized but not fully separated. Use separate memberships or accounts when you need a stronger split.
  4. Give tools a limited service credential when supported. Never paste your main vault password, recovery codes or broad API keys into a chat.

An API key is a password-like code used by software. Keep it in approved secret storage, not in a prompt or shared file.

6. Protect sign-in and plan recovery

MFA asks for more than a password. Security keys and passkeys can help protect against fake sign-in pages.

  1. In each service’s security settings, turn on MFA and register a supported key or passkey. Follow that provider’s steps.
  2. Test sign-in. Add a backup method where supported, and store recovery codes separately from the everyday device.
  3. Keep recovery email and phone details current. Record who can recover the account, including any workplace administrator.
  4. Do not remove your only working recovery method. Review the plan when a device, phone number or team member changes.

These tools protect sign-in. You still need to check what a connected app can do after sign-in.

7. Review the hosted service’s data settings

Choose what the provider may store or use before adding your work.

  1. Confirm you are in the intended personal or organization account. For work, use the account type and settings your organization approves.
  2. In ChatGPT, open Settings → Data Controls. Review ‘Improve the model for everyone’ and turn it off if you do not want conversations used for model training. Check the equivalent controls with other providers.
  3. Review chat history, memory, retention and deletion separately. Turning off training does not make processing local or erase existing chats.
  4. Check connected services’ own data policies too. An AI service’s privacy setting does not replace the rules of an app receiving your data.

Available controls depend on the provider, plan and workspace. Use approved data only, even when training is turned off.

8. Connect apps and plugins with care

Connectors, apps and plugins let AI tools reach other services and data.

  1. Review the plugin’s publisher, included tools and requested connections. Connect only what you need and trust; check the account, requested data and allowed actions before approving.
  2. Choose the smallest access available. Start with read-only access when enough, and require review before sends, edits or deletes where supported.
  3. Test with a harmless file and inspect the result. Approval settings control when the AI asks; they do not narrow the access granted to the connected app. Do not assume a request for one folder limits a broad permission.
  4. Review access often. Remove unused connections in the AI app and check the source service’s third-party access settings too.

Disconnecting stops future access according to the service’s controls; it may not erase copies already processed. Review retention and deletion settings.

9. Keep a short care checklist

Small habits reduce mistakes across all four pathways.

  1. Keep macOS, browsers and apps updated. Review screen lock, disk encryption and backups with the device owner.
  2. Use only the files needed for the task. Review AI output before using it or sending it to someone.
  3. For work or client data, confirm approved providers, account types, access, data categories, retention rules and required agreements with your organization.
  4. Record the account owner, approved uses and review date. Review access after role changes, remove unused access, follow retention and deletion rules, and keep a clear way to report a mistake.

This guide helps you prepare. Your organization decides what is approved; a checklist alone does not prove compliance.

Official instructions and references

Checked September 10, 2026. Screens and available controls can vary by plan and device.

Back to the example map

Before you set off

This is an early preview. Mac downloads are unsigned, and the full setup is not yet verified for everyone. If macOS blocks a download, stop and request a signed release.

Your choice never enables a cloud connection. If you need offline use, choose local rather than hosted processing. Local and hybrid setup both need a compatible Mac; neither switches to cloud processing if your Mac cannot run a model.

What has been tested?

The small model passed a native smoke test on one 16 GB Mac. This is not a model-quality ranking. Larger models need hardware checks and further evaluation. Voice, training, file search and automatic cloud actions are still in development.