๐๐๐๐ข๐จ๐ก๐ง ๐๐๐๐๐๐ฌ๐๐๐ ๐ฉ๐ฆ ๐๐ข๐๐๐ก ๐ฆ๐ง๐๐ง๐
You write a script. It logs in. You save the state. You think the work is done.
Then you move to a real environment. You add a proxy. You use many accounts. You add AI agents. Login state is no longer enough.
Login state tells the browser who is signed in. An account lifecycle tells the system if the session is valid. It tells you if the session is safe.
Cookies are a shortcut for tests. They are not a full model for long runs. Your proxy changes. Your region shifts. The session looks fine. The account looks suspicious.
This gap breaks your trust model. You need a system for your accounts.
A good lifecycle includes:
- Stable account IDs.
- Saved browser profiles.
- Fixed internet paths.
- Clear task rules.
- Proof logs.
- Safe restart points.
AI agents fail in new ways. They click buttons without knowing the rules. They need boundaries. A lifecycle decides what the agent is allowed to do.
Ask these questions before each run:
- Is the proxy correct for this account?
- Does the timezone match?
- Is the session valid?
- Is the task allowed to run?
- Is there enough proof for the result?
Do not treat login state as the whole account. A session helps the browser remember a user. A lifecycle helps your team remember the context.