diff --git a/docs.json b/docs.json
index 7c87e009af..e5ac59f8cd 100644
--- a/docs.json
+++ b/docs.json
@@ -672,7 +672,6 @@
                           "weave/guides/tracking/costs",
                           "weave/guides/tools/saved-views",
                           "weave/guides/tracking/trace-plots",
-                          "weave/guides/tracking/trace-to-run",
                           "weave/guides/tools/weave-in-workspaces"
                         ]
                       },
@@ -6406,6 +6405,10 @@
       "destination": "/weave/agent-integration-quickstart",
       "source": "/weave/guides/tracking/trace-agent-integrations"
     },
+    {
+      "destination": "/weave/guides/tools/weave-in-workspaces",
+      "source": "/weave/guides/tracking/trace-to-run"
+    },
     {
       "destination": "/:slug*",
       "source": "/_print/:slug*"
diff --git a/weave/guides/tools/weave-in-workspaces.mdx b/weave/guides/tools/weave-in-workspaces.mdx
index 7b4f05a341..a2bcb03718 100644
--- a/weave/guides/tools/weave-in-workspaces.mdx
+++ b/weave/guides/tools/weave-in-workspaces.mdx
@@ -1,7 +1,7 @@
 ---
 title: "Use Weave with W&B training runs"
 description: "Integrate Weave traces with W&B training runs to view function execution details alongside ML metrics in workspace dashboards."
-keywords: ["workspaces", "training runs", "traces", "wandb.run", "artifacts"]
+keywords: ["workspaces", "training runs", "traces", "wandb.run", "wandb.init", "trace linking", "experiment tracking", "artifacts"]
 ---
 
 # Log traces during model training runs
@@ -88,6 +88,21 @@ To navigate to a workspace from the UI:
 
 For more information about workspaces, see [View experiments results](https://docs.wandb.ai/models/track/workspaces).
 
+## View a linked run in the Traces table
+
+When you call a function decorated with `@weave.op` inside a `wandb.init()` context, Weave automatically associates the trace with the active [W&B run](/models/runs). The **Traces** table in the Weave UI links each trace to its associated runs.
+
+To view the runs linked to your traces:
+
+1. Run a script that calls traced functions inside a `wandb.init()` context, such as the training example in [Use Weave panels](#use-weave-panels).
+2. Navigate to the [W&B app](https://wandb.ai) and select your project.
+3. In the **Weave** project sidebar, click **Traces**. The **Traces** table displays links to any associated runs.
+4. Open a trace from the **Traces** table to inspect the linked W&B run and review its experiment context.
+
+<Note>
+Linking traces to W&B runs is not yet available in the TypeScript SDK.
+</Note>
+
 ## Associate traces with a specific W&B run
 
 In some cases, you may want to attach traces to a run other than the one Weave detects automatically. By default, Weave automatically detects and associates traces with the active `wandb.run`. If you need to associate traces with a specific run that isn't the global `wandb.run`, use `set_wandb_run_context`. To associate traces with a specific run and run step, define values for the method's `run_id` and `step` arguments:
diff --git a/weave/guides/tracking/trace-to-run.mdx b/weave/guides/tracking/trace-to-run.mdx
deleted file mode 100644
index 41f84864d0..0000000000
--- a/weave/guides/tracking/trace-to-run.mdx
+++ /dev/null
@@ -1,94 +0,0 @@
----
-title: "Link a W&B run to trace function calls"
-description: "Associate Weave traces with W&B runs for experiment tracking"
-keywords: ["wandb.init", "weave.op", "experiment tracking", "trace linking"]
----
-
-With W&B Weave, you can trace function calls in your code and link them directly to the [W&B runs](https://docs.wandb.ai/models/runs/) in which they ran.
-When you trace a function with `@weave.op()` and call it inside a `wandb.init()` context, Weave automatically associates the trace with the W&B run.
-The **Traces** table shows links to any associated runs.
-
-## View a W&B run in the Traces table
-
-<Tabs>
-<Tab title="Python">
-The following Python code shows how Weave links traced Ops to W&B
-runs when you run them inside a `wandb.init()` context. These traces appear in the
-Weave UI and are associated with the corresponding run.
-
-To view a W&B run as a Weave trace:
-
-1. In the terminal, install dependencies.
-
-```bash lines
-pip install wandb weave
-```
-
-2. Log in to W&B.
-
-```bash lines
-wandb login
-```
-
-3. In the following script, replace `your-team-name/your-project-name` with your W&B entity and project:
-
-```python lines
-import wandb
-import weave
-
-def example_wandb(projname):
-    # Split projname into entity and project
-    entity, project = projname.split("/", 1)
-
-    # Initialize Weave context for tracing
-    weave.init(projname)
-
-    # Define a traceable Op
-    @weave.op()
-    def say(message: str) -> str:
-        return f"I said: {message}"
-
-    # First W&B run
-    with wandb.init(
-        entity=entity,
-        project=project,
-        notes="Experiment 1",
-        tags=["baseline", "paper1"],
-    ) as run:
-        say("Hello, world!")
-        say("How are you!")
-        run.log({"messages": 2})
-
-    # Second W&B run
-    with wandb.init(
-        entity=entity,
-        project=project,
-        notes="Experiment 2",
-        tags=["baseline", "paper1"],
-    ) as run:
-        say("Hello, world from experiment 2!")
-        say("How are you!")
-        run.log({"messages": 2})
-
-if __name__ == "__main__":
-    # Replace this with your actual W&B username/project
-    example_wandb("your-team-name/your-project-name")
-```
-
-4. Run the script.
-
-```bash lines
-python weave_trace_with_wandb.py
-```
-
-5. Navigate to the [W&B app](https://wandb.ai) and select your project.
-6. In the **Weave project sidebar**, click **Traces**. The **Traces** table displays links to any associated runs.
-
-You can now open any trace from the **Traces** table to inspect the linked W&B run and review its associated experiment context.
-</Tab>
-<Tab title="TypeScript">
-```text
-This feature is not available for the TypeScript SDK yet.
-```
-</Tab>
-</Tabs>