Insights

Engineering notes from under the model

Notes on the work, written to be useful whether or not you ever contact us. No client data, no benchmark we did not measure, and no competitor named.

Published

Brand systems

A brand system as a machine-readable spec

How this brand is built: rules written as a specification in version control, one generator, and every asset produced by a build rather than by hand.

The argument

Why AI pilots do not reach production

Four failures sit under the model, and a project hits them in order: unprovisioned data, infrastructure that cannot hold it, no security model for software that acts, and a legacy estate that cannot be paused.

What is coming

  • Data contracts before pipelines
  • Budgeting capacity, latency and cost before the build
  • Least privilege for software that acts
  • Writing a rollback and cutover plan for an AI workflow
  • How to load-test an LLM workflow — method, not results
  • Evaluation harnesses for agents
  • What open by default means in a contract

One a month, held. Two a month for three months and then nothing is worse than one a month forever.

Send us the problem

Describe what is stuck. We will come back with an architecture, a timeline and the first commit.