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I work on AI systems when the problem is not obvious, the stakes are real, or another round of tweaking is not enough.
Find out whether the system is actually ready for the decision you are about to make.
A focused, independent review of a concrete AI initiative before a prototype, architecture, or early success hardens into budget, infrastructure, and organizational commitment. I look for hidden assumptions, weak safeguards, unclear authority, dependencies, and decisions that may become expensive to reverse.
Make the rules the AI is supposed to follow explicit enough to actually govern its behavior.
When instructions, constraints, roles, and policies have accumulated without a clear hierarchy, I turn them into a coherent system the AI can actually follow—especially around ambiguity, conflicting instructions, boundaries, and failure.
When the system is running, people are working on it, and nothing is really moving.
I step into AI initiatives stuck in repeated tuning, recurring tradeoffs, or the same unresolved debates, find what is actually constraining the system, and identify the smallest change that can open the problem back up.