diff --git a/website/docs/docs/use-dbt-semantic-layer/deploy-sl.md b/website/docs/docs/use-dbt-semantic-layer/deploy-sl.md
index 1bee5480317..63a77d9cab0 100644
--- a/website/docs/docs/use-dbt-semantic-layer/deploy-sl.md
+++ b/website/docs/docs/use-dbt-semantic-layer/deploy-sl.md
@@ -18,7 +18,7 @@ import RunProdJob from '/snippets/_sl-run-prod-job.md';
 
 ## Next steps
 After you've executed a job and deployed your Semantic Layer:
-- [Set up your Semantic Layer](/docs/use-dbt-semantic-layer/setup-sl) in dbt Cloud. g
+- [Set up your Semantic Layer](/docs/use-dbt-semantic-layer/setup-sl) in dbt Cloud.
 - Discover the [available integrations](/docs/cloud-integrations/avail-sl-integrations), such as Tableau, Google Sheets, Microsoft Excel, and more.
 - Start querying your metrics with the [API query syntax](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata).
 
@@ -26,4 +26,4 @@ After you've executed a job and deployed your Semantic Layer:
 ## Related docs
 - [Optimize querying performance](/docs/use-dbt-semantic-layer/sl-cache) using declarative caching.
 - [Validate semantic nodes in CI](/docs/deploy/ci-jobs#semantic-validations-in-ci) to ensure code changes made to dbt models don't break these metrics.
-- If you haven't already, learn how to [build you metrics and semantic models](/docs/build/build-metrics-intro) in your development tool of choice.
+- If you haven't already, learn how to [build your metrics and semantic models](/docs/build/build-metrics-intro) in your development tool of choice.