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Field notes on shipping AI

Practical writing on AI implementation, governance and adoption, for the people who have to make it work, not just talk about it.

Questions to ask before you hire an AI automation partner

The handful of questions that separate a partner who ships from a vendor who demos, and what a good answer actually sounds like.

Ownership is the question most buyers forget to ask, and the one that decides whether you end up with an asset or a subscription you can't cancel.

A simple scoring framework to separate the AI projects worth building from the ones that look exciting and go nowhere.

A practical, non-partisan look at the three tools businesses compare most, and how we decide which one fits a given build.

Cut through the legalese. A practical checklist for classifying your AI systems and getting documentation-ready without stalling delivery.

Hallucinations are a design problem, not a dead end. The guardrails, evals and human-in-the-loop patterns that make LLM workflows production-safe.