Insights
Frameworks, teardowns, and practical guidance on AI implementation for operators.
A framework for deciding which agent actions can run autonomously and which need human approval. Based on reversibility, blast radius, and confidence thresholds.
A controversial but defensible take on framework selection. When abstraction layers help, when they hurt, and what to use instead.
A teardown of a real AI implementation that stalled. The technical decisions were fine. The organizational ones killed it.
A practical guide to eval design. What to measure, how to build test sets, and when "good enough" is actually good enough.
When to build in-house, when to buy a platform, and when to partner with a specialist. A decision framework based on 40+ engagements.
Five dimensions of readiness, scored 1–5. Most teams overestimate their data maturity and underestimate their governance gap.
Weekly frameworks and teardowns for IT leaders navigating AI implementation. No hype. No vendor pitches.
Subscribe →