What we learn while shipping real products — written down before we forget it. Right now we're writing mostly about AI: agents, LLMs, and the unglamorous engineering that makes them dependable.
An agent is a model, a set of tools, and a loop — everything else is plumbing. A practical walk through the architecture, the guardrails, and the failure modes nobody warns you about.
Past the hype: where agents genuinely pay for themselves, how to measure it honestly, and the situations where you shouldn't build one at all.
They look the same in a demo. They are not the same in production. A plain-language explainer for anyone deciding what to build.