Update website/docs/docs/collaborate/govern/project-dependencies.md

Co-authored-by: Mirna Wong <[email protected]>

website/docs/docs/collaborate/govern/project-dependencies.md

@@ -21,7 +21,7 @@ This year, dbt Labs is introducing an expanded notion of `dependencies` across m
 - Use a supported version of dbt (v1.6, v1.7, or go versionless with "[Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)") for both the upstream ("producer") project and the downstream ("consumer") project.
 - Define models in an upstream ("producer") project that are configured with [`access: public`](/reference/resource-configs/access). You need at least one successful job run after defining their `access`.
 - Define a deployment environment in the upstream ("producer") project [that is set to be your Production environment](/docs/deploy/deploy-environments#set-as-production-environment), and ensure it has at least one successful job run in that environment.
-- Execute a job in the staging environment of the upstream project in order for the downstream cross-project ref to resolve.
+- If the upstream project has a Staging environment, run a job in that Staging environment to ensure the downstream cross-project ref resolves.
 - Each project `name` must be unique in your dbt Cloud account. For example, if you have a dbt project (codebase) for the `jaffle_marketing` team, you should not create separate projects for `Jaffle Marketing - Dev` and `Jaffle Marketing - Prod`. That isolation should instead be handled at the environment level.
   - We are adding support for environment-level permissions and data warehouse connections; please contact your dbt Labs account team for beta access.
 - The `dbt_project.yml` file is case-sensitive, which means the project name must exactly match the name in your `dependencies.yml`.  For example, if your project name is `jaffle_marketing`, you should use `jaffle_marketing` (not `JAFFLE_MARKETING`) in all related files.