This is where the lab writes things down.
Not launch posts. Not "the future of AI is..." takes. The notes we would want to read ourselves before putting a model on work that costs money.
What you will find
Tests with numbers. We take a new model or method and put it on a real kind of work, with our own test set, our own labels and every number we got. Including the ones that did not go our way. The first one: Jev on a freight desk.
Production notes. Most of running AI in production is boring infrastructure. Evals, guardrails, stop rules, what happens when a model is confidently wrong at 3am. Nobody posts about it because it does not go viral. We will.
Industry desks. What AI actually does on a logistics exception desk, a plant floor, a finance back office. One industry at a time, each with its own cases, not a template with the name swapped.
How we write
Plain language, so a buyer can follow it. The engineering shown, so a builder can check it. Method and limits in every post. If a claim can be a chart, it is one.
If your team is stuck between an AI pilot and AI in production, talk to us. That is the work.
