diff --git a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md
index 19c6717063c..ee3d4262882 100644
--- a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md
+++ b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md
@@ -4,10 +4,6 @@ description: Getting started with the dbt and MetricFlow
 hoverSnippet: Learn how to get started with the dbt and MetricFlow
 ---
 
-:::tip
-**This is a guide for a beta product.** We anticipate this guide will evolve alongside the Semantic Layer through community collaboration. We welcome discussions, ideas, issues, and contributions to refining best practices.
-:::
-
 Flying cars, hoverboards, and true self-service analytics: this is the future we were promised. The first two might still be a few years out, but real self-service analytics is here today. With dbt Cloud's Semantic Layer, you can resolve the tension between accuracy and flexibility that has hampered analytics tools for years, empowering everybody in your organization to explore a shared reality of metrics. Best of all for analytics engineers, building with these new tools will significantly [DRY](https://docs.getdbt.com/terms/dry) up and simplify your codebase. As you'll see, the deep interaction between your dbt models and the Semantic Layer make your dbt project the ideal place to craft your metrics.
 
 ## Learning goals