Add safety warnings for lightdash deploy vs lightdash preview

guides/cli/how-to-use-lightdash-deploy.mdx

@@ -16,8 +16,11 @@ This guide will walk you through how it works, when to use each option, and what
 ## Before you deploy: A quick word of caution
 
 <Warning>
-Running `lightdash deploy` uses your local dbt profile (from your `profiles.yml`). If your local profile isn't pointing to production, you could deploy to the wrong environment. 
-This works in simple setups, but can introduce risk when using multiple environments or working in a team.
+**`lightdash deploy` pushes directly to your production project.**
+
+Running this command uses your local dbt profile (from your `profiles.yml`). If your default target points to a dev or staging environment, `lightdash deploy` will overwrite your production semantic layer with that configuration, breaking dashboards for all users.
+
+If you're working locally, **use [`lightdash preview`](/guides/cli/how-to-use-lightdash-preview) instead**. It creates a temporary, isolated project that won't affect production.
 </Warning>
 
 For a safer, scalable approach to deploying and previewing changes, use CI/CD. This allows you to:
@@ -53,7 +56,7 @@ If your dbt project uses different profiles or targets for dev and prod, you can
 lightdash deploy --profile prod
 ```
 <Warning>
-Be careful — if your local prod profile isn't properly pointing to your production database, 
+Be careful. If your local prod profile isn't properly pointing to your production database,
 this can result in incorrect connections (e.g. accidentally deploying to a dev dataset).
 </Warning>
 

references/lightdash-cli.mdx

@@ -370,9 +370,13 @@ lightdash stop-preview "neon unicorn"
 Compiles and deploys the current project to your [selected Lightdash Cloud project](#lightdash-config-set-project).
 
 <Warning>
-  **It is not common practice to use this command from the CLI after initial project creation.**
+  **`lightdash deploy` pushes directly to your production project.**
 
-  This command is usually [used in Github Actions](/guides/cli/how-to-use-lightdash-deploy#automatically-deploy-your-changes-to-lightdash-using-a-github-action) or other deploy scripts.
+  Running this command from a local branch will overwrite your production semantic layer with whatever is compiled locally, including any dev or staging targets from your `profiles.yml`. This can break dashboards for all users.
+
+  **Use [`lightdash preview`](#lightdash-preview) for local development and testing.** Preview creates a temporary, isolated project that won't affect production.
+
+  For production deploys, we recommend using [CI/CD with GitHub Actions](/guides/cli/how-to-use-lightdash-deploy#automatically-deploy-your-changes-to-lightdash-using-a-github-action).
 </Warning>
 
 All standard [dbt options](#dbt-options) work with `lightdash deploy`.