update wording in intro

website/docs/guides/best-practices/how-we-mesh/mesh-1-intro.md

@@ -6,25 +6,25 @@ hoverSnippet: Learn how to get started with dbt Mesh
 
 ## What is dbt Mesh?
 
-Organizations of all sizes rely upon dbt to manage their data transformations, from small startups to large enterprises. At scale, it can be challenging to coordinate all the organizational and technical requirements demanded by your stakeholders within the scope of a single dbt project. To date, there also hasn't been a first-class way to effectively manage the dependencies, governance, and workflows between multiple dbt projects.
+Organizations of all sizes rely upon dbt to manage their data transformations, from small startups to large enterprises. At scale, it can be challenging to coordinate all the organizational and technical requirements demanded by your stakeholders within the scope of a single dbt project. To date, there also hasn't been a first-class way to effectively manage the dependencies, governance, and workflows between multiple dbt projects. 
 
-Regardless of your organization's size and complexity, dbt should empower data teams to work independently and collaboratively; sharing data, code, and best practices without sacrificing security or autonomy. dbt Mesh provides the tooling for teams to finally achieve this.
+That's where dbt Mesh comes in - empowering data teams to work independently and collaboratively; sharing data, code, and best practices without sacrificing security or autonomy. This guide will walk you through the concepts and implementation details needed to get started.
 
 dbt Mesh is not a single product: it is a pattern enabled by a convergence of several features in dbt:
 
-- **[Cross-project references](/docs/collaborate/govern/project-dependencies#how-to-use-ref)** - this is the foundational feature that enables the multi-project deployments. `{{ ref() }}`s now work across dbt Cloud projects on Enterprise plans.
+- **[Cross-project references](/docs/collaborate/govern/project-dependencies#usage)** - this is the foundational feature that enables the multi-project deployments. `{{ ref() }}`s now work across dbt Cloud projects on Enterprise plans.
 - **[dbt Explorer](/docs/collaborate/explore-projects)** - dbt Cloud's metadata-powered documentation platform, complete with full, cross-project lineage.
 - **Governance** - dbt's new governance features allow you to manage access to your dbt models both within and across projects.
-  - **[Groups](/docs/collaborate/govern/model-access#groups)** - groups allow you to assign models to subsets within a project.
-  - **[Access](/docs/collaborate/govern/model-access#access-modifiers)** - access configs allow you to control who can reference models.
-- **[Model Versions](/docs/collaborate/govern/model-versions)** - when coordinating across projects and teams, we recommend treating your data models as stable APIs. Model versioning is the mechanism to allow graceful adoption and deprecation of models as they evolve.
-- **[Model Contracts](/docs/collaborate/govern/model-contracts)** - data contracts set explicit expectations on the shape of the data to ensure data changes upstream of dbt or within a project's logic don't break downstream consumers' data products.
+  - **[Groups](/docs/build/groups)** - groups allow you to gather together nodes in your dbt DAG that are logically connected (such as functional area) and assign an owner to the group.
+  - **[Access](/docs/collaborate/govern/model-access)** - access configs allow you to control who can reference models.
+  - **[Model Versions](/docs/collaborate/govern/model-versions)** - When coordinating across projects and teams, we recommend treating your data models as stable APIs. Model versioning is the mechanism to allow graceful adoption and deprecation of models as they evolve.
+  - **[Model Contracts](/docs/collaborate/govern/model-contracts)** - data contracts set explicit expectations on the shape of the data to ensure data changes upstream of dbt or within a project's logic don't break downstream comsumers' data products.
 
 ## Who is dbt Mesh for?
 
-The multi-project architecture helps organizations with mature, complex transformation workflows in dbt increase the flexibility and performance of their dbt projects. If you're already using dbt and your project has started to experience any of the following, you're likely ready to start exploring this paradigm:
+The multi-project architecture is for organizations with mature, complex transformation workflows in dbt who want to increase the flexibilty and performance of their dbt projects. If you're already using dbt and your project has started to experience any of the following, you're likely ready to start exploring this paradigm:
 
-- The **number of models** in your project is degrading performance and slowing down development.
+- **The number of models** in your project is degrading performance and slowing down development.
 - Teams have developed **separate workflows** and need to decouple development from each other.
 - **Security and governance** requirements are increasing and would benefit from increased isolation.