diff --git a/app/priv/blog/engineering/2026/04-24-how-to-get-started-with-the-pi-coding-agent-on-a-vps.md b/app/priv/blog/engineering/2026/04-24-how-to-get-started-with-the-pi-coding-agent-on-a-vps.md
index b21374a..a0821cd 100644
--- a/app/priv/blog/engineering/2026/04-24-how-to-get-started-with-the-pi-coding-agent-on-a-vps.md
+++ b/app/priv/blog/engineering/2026/04-24-how-to-get-started-with-the-pi-coding-agent-on-a-vps.md
@@ -7,7 +7,9 @@
 }
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-Demo repository on how to set up the [Pi](pi.dev) coding agent on a VPS (virtual private server) with a hosted LLM service. This works with [Open Router](https:/openrouter.ai), and should work with anything that supports the OpenAI (ChatGPT) API, including local models, anthropic, OpenAI etc.
+A few people asked me about my coding agent setup. This is a brief guide on how to set up the [Pi](pi.dev) coding agent on a VPS (virtual private server) with a hosted LLM service. This works with [Open Router](https:/openrouter.ai), and should work with anything that supports the OpenAI (ChatGPT) API, including local models, anthropic, OpenAI etc. There are other APIs available, and Pi has a great unboxing experience, as I found while writing this post.
+
+I have used Pi for a month or two on my laptop, in a sandbox. I have Claude Code in a VPS, but also wanted Pi there. Chris Parsons (see Afterword for his blog) asked about this, so I wrote this how to for myself, and then ran and updated it. It was easier than I thought.
 
 The idea of using a VPS (a virtual machine in the cloud) is that it provides you a sandbox to run an agent in. If the agent deletes your home folder, you can just recreate it. There are other ways to sandbox agents, but this I found by far the easiest and most comforting.