# Sign up

Three auth methods. Pick whichever your team uses today.

## Steps

### 1. Open the sign-up page

Go to [`stratix.layerlens.ai/sign-up`](https://stratix.layerlens.ai/sign-up).

### 2. Pick an auth method

* **Continue with GitHub** — OAuth, fastest if you're a developer
* **Continue with Google** — OAuth via your Google account
* **Email** — email + password; verification email sent

### 3. Verify (email only)

If you signed up with email, check your inbox for the verification link. Click it. You're back in the app.

### 4. Pick or create your organization

If your email domain matches an existing org, you can request to join. Otherwise, create a new org. You can be invited to additional orgs later and switch between them.

### 5. Optional: complete the onboarding wizard

The first time you land in Premium, the wizard offers to personalize your workspace. See [Personalized onboarding](/2.-get-started/personalized-onboarding.md).

## Verify

You should see the Premium home dashboard at `stratix.layerlens.ai/dashboard`. The left rail shows: Home, Evaluations, Models, Benchmarks, Scorers, Spaces, Agent Evaluation, Learning, Settings, Notifications.

## Multi-org and switching

If you're invited to a second org later:

1. Accept the invitation from the email
2. Use the org switcher in the top bar to flip between orgs
3. The dashboard data refreshes for the active org

## Common pitfalls

* **Email signup but no verification email.** Check spam. If still missing, see [Troubleshooting auth](/2.-get-started/premium.md).
* **GitHub/Google OAuth blocked by org.** Some enterprise GitHub orgs require admin approval before third-party OAuth apps work. Ask your admin to allow the LayerLens app.

## Where to next

* [Personalized onboarding](/2.-get-started/personalized-onboarding.md)
* [First evaluation](/2.-get-started/first-evaluation.md)
* [Organizations and multi-org](https://github.com/LayerLens/gitbook-full/blob/main/13-reference/sdk-python/organizations.md)


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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.