diff --git a/environment-setup/setup-guide.mdx b/environment-setup/setup-guide.mdx
index 96691db..c48e577 100644
--- a/environment-setup/setup-guide.mdx
+++ b/environment-setup/setup-guide.mdx
@@ -7,8 +7,6 @@ description: "Detailed walkthrough for deploying a tracebloc workspace — requi
 
 Everything the installer does, explained. This page walks through the full setup process — what each step does, what to expect, and how to verify it worked.
 
-Looking for the short version? See [Quick Setup](/getting-started/quick-setup).
-
 ---
 
 ## Requirements
diff --git a/join-use-case/overview.mdx b/join-use-case/overview.mdx
index f655bbd..c43dd85 100644
--- a/join-use-case/overview.mdx
+++ b/join-use-case/overview.mdx
@@ -6,7 +6,6 @@ sidebar_position: 0
 
 tracebloc is an AI workspace where you can train and evaluate models on datasets you never directly access. The data stays with the data owner, your code runs on their infrastructure, and a leaderboard ranks every submission side by side.
 
-![tracebloc workflow: models are sent from your local Jupyter notebook to the data owner's secure infrastructure for training and evaluation](images/tracebloc-workflow-overview.png)
 
 Here is how it works, step by step.