How can AI agents use business accounts without seeing the login?

AI agents can use business accounts without receiving the password or API key. The secret stays inside a trusted local process, while the model receives only a safe account reference and permission to request a specific action.

This boundary matters because an AI needs the ability to work, not a copy of every login.

Your private logins stay localThe AI asks. StackOS checks and acts.

Local control

Start in your AI

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StackOSChecks permission

Safe result

Approved Action complete

What should the model receive?

The model needs enough information to make a good decision: which account is available, what it can do, whether it is ready, and what approval is required.

It does not need the raw token, password, or private key. StackOS provides a safe reference that identifies the connection without exposing the secret.

Where does the secret stay?

StackOS runs locally on the user’s Mac. Connected credentials are resolved inside that local process only when an explicit action is being performed.

The model asks for an intent-level action—such as publishing an approved post to a selected site. StackOS checks the workflow permission, selected account, action contract, and approval before making the call.

What prevents an agent from doing anything it wants?

Access is scoped to the work. A workflow stage receives only the tools allowed for that stage, and sensitive or costly actions can require approval.

That creates several useful boundaries:

• A research stage can read approved information without receiving publishing access.
• A writer can prepare content without being allowed to send it.
• A review stage can inspect the result without changing external systems.
• A publishing stage can use one approved account for one approved action.

Each action is recorded with its result so a person can understand what happened later.

Is local software enough by itself?

Running locally reduces how far secrets have to travel, but location is only part of the design. Safe agent access also needs narrow permissions, explicit actions, approval gates, useful error handling, and a complete history.

The goal is not to claim that an AI agent can never make a mistake. The goal is to make its authority understandable, bounded, and reviewable.

What should teams ask before connecting an account?

Ask four questions:

1. Which exact actions does this connection allow?
2. Which workflow stages can request those actions?
3. Which actions require a person to approve them?
4. What evidence will be recorded after the action runs?

If those answers are unclear, the connection is too broad.

StackOS is built around this local trust boundary. The workflow library shows where connected actions fit inside complete, visible work rather than appearing as isolated tool calls.