From 47d0ff63a7164af401726d53939621b656fea07b Mon Sep 17 00:00:00 2001
From: shfunc <hagforall@proton.me>
Date: Mon, 24 Aug 2026 16:41:30 +0200
Subject: [PATCH] docs(v6): add platform links to quickstart, intro, and eval
 guide

---
 docs/v6/guides/running-an-eval.mdx | 2 +-
 docs/v6/start/index.mdx            | 1 +
 docs/v6/start/quickstart.mdx       | 8 +++++++-
 3 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/docs/v6/guides/running-an-eval.mdx b/docs/v6/guides/running-an-eval.mdx
index 9305efc0a..78f2ff1b0 100644
--- a/docs/v6/guides/running-an-eval.mdx
+++ b/docs/v6/guides/running-an-eval.mdx
@@ -34,7 +34,7 @@ hud eval "My Taskset" claude --all --group 3
 ```
 
 **From the platform**, open [hud.ai](https://hud.ai), pick the environment, choose a taskset and a model,
-and launch - no CLI required.
+and launch - no CLI required. See [evaluations on the platform](/platform/evaluations) for that flow.
 
 ### Choosing an agent
 
diff --git a/docs/v6/start/index.mdx b/docs/v6/start/index.mdx
index 8f1a88c04..86d70abf2 100644
--- a/docs/v6/start/index.mdx
+++ b/docs/v6/start/index.mdx
@@ -68,6 +68,7 @@ that environment, and run any agent to perform those tasks, at any scale. Our SD
 - [**Advanced**](/v6/advanced/extending) - off the beaten path: bring your own harness, composing environments, subagents, and chat.
 - [**Cookbooks**](/v6/cookbooks/index) - worked examples and creative ways to use HUD.
 - [**More**](/v6/more/faq) - FAQ, migrating to v6, and contributing.
+- [**Platform**](/platform/introduction) - the hud.ai side of the workflow: deployed environments, tasksets, evaluations, and traces.
 
 {/* <CardGroup cols={2}>
 <Card title="Quickstart" icon="bolt" href="/v6/start/quickstart">
diff --git a/docs/v6/start/quickstart.mdx b/docs/v6/start/quickstart.mdx
index ae68fc409..ebff1d673 100644
--- a/docs/v6/start/quickstart.mdx
+++ b/docs/v6/start/quickstart.mdx
@@ -61,4 +61,10 @@ tasks = [count_letter(word=w) for w in ("strawberry", "raspberry", "blueberry")]
 hud eval tasks.py claude
 ```
 
-`hud eval` spawns the environment locally, runs the `claude` agent, and grades it. Every rollout generates a replayable trace on [hud.ai](https://hud.ai). 
+`hud eval` spawns the environment locally, runs the `claude` agent, and grades it. Every rollout generates a replayable trace on [hud.ai](https://hud.ai).
+
+## 5. View your traces
+
+`hud eval` prints a job link. Open it on [hud.ai](https://hud.ai) to replay each trace step by
+step - every prompt, action, and the reward the grader returned. From the
+[platform](/platform/evaluations) you can run whole tasksets across models and compare the results.