Super excited to launch @RunLLM v2 today! 😎🎉 When we started building expert systems on complex products 2 years ago, we had no idea it would turn into an AI Support Engineer. We started by focusing on delivering the highest-quality answers possible, and that earned us the trust of teams at Databricks, Sourcegraph, Monte Carlo Data, and Corelight. But high quality answers are only one part of a good AI Support Engineer. Since our last launch, we’ve re-built RunLLM from the ground up, introducing a new agentic planner, redesigning our UI, and giving our customers fine-grained control over agent workflows. Today, we’re focused on the new agentic features, because, well, it’s 2025 and you have to have agents. 😉 Jokes aside, the post below outlines in full detail how we’ve rethought RunLLM’s core inference process, how we show our work, and what we’ve built to do log & telemetry analysis. Check it out! 👇