Blog
The Pack: What Capability Transfer Looks Like As An Artifact
You brought in outside engineering help. The engagement closed. The consultants are gone.
Resources
Resources
Articles, frameworks, and field notes from our work in execution-stage enterprise AI.
Article
Failure Pattern 2: Engineering Discipline Stops At The AI Boundary
Most organizations that have shipped AI capabilities in the past eighteen months applied production-grade engineering discipline to the systems those capabilities plug into — and then stopped.
Blog
Operator Receipts: What Shipped, What Slipped
You approved the pilot. The demo looked right. The vendor delivered on time. Six months later, nothing is running in production — and your team cannot explain exactly why.
Article
Forward-Deployed Engineering Is Concentrating, Not Spreading
The forward-deployed engineer role is growing fast, but the geography is narrower than the title suggests — and that's the part operators outside the frontier-lab buyer set should read carefully.
White Paper
The Prototype Trap.
Why AI made software easier to create — and harder to operationalize. The operating discipline that closes the gap between prototype and production.
Blog
Your CFO Will Find the AI Cost Problem Before Your CTO Does.
Inference costs spike non-linearly as agentic workflows scale because nobody treated the prompt as an engineering artifact.
Blog
5 Questions to Ask Before You Sign an AI Implementation Contract
A practical guide for executives evaluating AI consulting and delivery partners.
Article
AI Strategy Was the Easy Part.
What the labs spent $5.5B on this week — and what's still missing in the picture.