Practical frameworks and worked examples for real AI decisions. Drop your email and we'll send the PDF.
A practical framework for the AI procurement decision every operator faces in 2026: build, buy, hybrid, or wait. Two scoring sheets, a worked example, an honest case for waiting, and a printable vendor-interview script.
An opinionated buyer's guide for teams considering on-prem AI deployments in 2026. Hardware tiers (Mac Studio, DGX Spark, Dell GB300), open-weight model picks per workload, the software stack, a workload decision matrix, a worked example, and the operational reality of month four.
How to build an evaluation harness before you build the AI system. Held-out test sets, scoring rubrics, tool selection (Inspect AI, Braintrust, Promptfoo, LangSmith), production observability, three worked examples at different scales, anti-patterns, and what month-four operational reality looks like.
