Notes from the AI build floor

This blog is where we write down what we learn building AI systems for real companies: which automation candidates actually pay back, how agent evaluation works in practice, where RAG projects go wrong, and what LLM features cost to run at scale. Every article is written by someone on the team, from work we have actually done — no ghostwritten filler, no AI-generated padding, no recycled news.

If you're an operator or engineering leader deciding where AI fits in your business, this is meant to be the writing we wish existed when we started: specific, honest about trade-offs, and short on hype.