What we do
We build applied generative-AI systems — evaluation harnesses that predict production behavior, retrieval pipelines that go beyond naive RAG, and agents bounded enough to be reliable. Then we publish what we learned, because the most useful signal comes from people who are actually shipping the thing.
Who it is for
AI engineers who need to keep pace with the velocity of the field without drowning in hype. If you ship LLM products and want concrete mechanics — what to do Monday, and what to ignore — this is for you.
Free and premium
The open work is free: public YouTube overviews, a free newsletter, and public articles — the signal that builds the audience. Members get the work we do not publish openly: unlisted video deep-dives and a premium newsletter, available only to paid subscribers.
how we work
We build, then report
Every take comes from shipping real generative-AI applications, not from reading threads about it.
Signal over hype
No listicles, no thought-leadership fluff. Concrete mechanics, strong opinions, and the reasoning shown.
Production over demos
We care about what survives contact with real traffic, real cost, and real failure — not what wows a stage.
Where the vector points
We state the near-term trajectory of the field as informed opinion with reasoning, so you can build for what is next.