Real lessons from building AI inside real businesses.
One email a week, written by Mudi. What we built, which models run it, what it actually costs, and what broke on the way. For owners and operators who want the mechanics, not the hype.
The same three things, every week.
The architecture, with the bill
How we built the thing the issue is about: which models run it, what they cost per unit of work, and why those choices. The section operators actually read, and it dies without real figures, so it never ships without them.
The failure modes
What breaks first when a team tries this, named plainly, each with the rebuttal: what we do instead and what that costs. No hypotheticals; if it did not happen on a real build, it does not go in.
One framework you can run
Two or three numbered moves you can apply to your own operation the same week, sized so a busy owner actually does them. Then what really matters, in three sentences, and the next step if you want help.
The rule the whole thing is written under: real systems and real numbers, or it does not get sent. No roundups of other people's links, no AI news you already saw, no invented case studies.