Practical thinking on automation, engineering, and building systems that actually ship.
Not every automation needs an agent. Here's the framework we use with clients to decide when reasoning beats rigid pipelines.
A practical ROI framework for operators evaluating whether to hire another coordinator — or automate the work instead.
How we structure systems so models, workflows, and human operators coexist without becoming unmaintainable.
The eval harness we run on every agent before a client sees it — and why demos lie.
How we define success metrics before build starts — so everyone agrees on what 'done' looks like.
Why we wrap every agent tool in typed contracts — and how it prevents production disasters.