diff --git a/app/priv/blog/engineering/2026/04-24-smaller-open-llms-now-work-for-open-agents.md b/app/priv/blog/engineering/2026/04-24-smaller-open-llms-now-work-for-open-agents.md
index 09e4caf..1e4ac81 100644
--- a/app/priv/blog/engineering/2026/04-24-smaller-open-llms-now-work-for-open-agents.md
+++ b/app/priv/blog/engineering/2026/04-24-smaller-open-llms-now-work-for-open-agents.md
@@ -9,7 +9,7 @@
 
 (No AI was involved in this attempt at ordering my thoughts and making my work legible to others, hopefully you).
 
-I am replacing most, if not all, of my Claude Code workflows with [pi.dev](https://pi.dev), an open source coding agent, and local LLMs running on my laptop. If you don't have the hardware, smaller models are also cheap(er) to run on hosted services like [Open Router](https://openrouter.ai). As prices of frontier models continue to rise, and subscription plans are watered down, the capability and speed of open weight and open source models continues increasing. The last month saw a step change, with a couple releases from last week (Qwen 3.6 and several inference servers implementing performance improvements - more speed, less memory) marking a step change in user experience.
+I am replacing most, if not all, of my Claude Code workflows with [pi.dev](https://pi.dev), an open source coding agent, and local LLMs running on my laptop. If you don't have the hardware, smaller models are also cheap(er) to run on hosted services like [Open Router](https://openrouter.ai). As prices of frontier models continue to rise, and subscription plans are watered down, the capability and speed of open weight and open source models continues increasing. The last month saw a shift, with a couple releases from last week (Qwen 3.6 and several inference servers implementing performance improvements - more speed, less memory) marking a step change in user experience.
 
 I wrote "adjusting" in the description, but maybe reeling is maybe a more accurate description of what is happening. I wrote this more general note, as I plan to write some how-to's to make decoupling (coding) agents from inference hosting approachable for more people. We're all still figuring this out, but once you are up and running, you can work with your local agent to improve your tools and way of working in small steps. I started using open weights models and open source coding tools in 2024, and have on and off kept doing that alongside Claude Code. The second half of 2025 saw some strong open agents (most notable pi.dev and Open Code]), and now paired with strong, affordable models I can do serious development work with an agent from the comfort of my own laptop.